feat(workflows): 工作流批量导入向导与元数据管理列表 (HEL-682 S4)

- WorkflowBatchImportWizard：目录扫描/多文件 → dry-run 逐文件报告 → 确认导入； warn 可补用途、需确认与 fail 项不导入不标可运行、重复导入全量 conflict 跳过 - WorkflowLibrary：view=meta 轻量列表（搜索/分类/模型/媒介/收藏/最近/启停/ 去重/批量标注），完整 JSON 仅操作时按需加载；试运行复用 WorkflowTestDialog；保留用途确认、输出指定、单文件导入等既有能力 - api/types：listMeta、convert、importBatch、importScanDry/Commit、touch、 dedupe 客户端与 WorkflowMeta/转换报告类型；update 支持 favorite/tags/ category/model_family - i18n 130 键 ×7 语言；changelog Co-authored-by: multica-agent <github@multica.ai>
HEL-687: merge S2 workflow data layer (agent/agent/c85587840139)
2026-10-11 12:13:52 +08:00 · 2026-10-11 11:32:05 +08:00 · 2026-10-11 11:20:23 +08:00 · 2026-10-11 11:17:30 +08:00 · 2026-10-11 11:01:21 +08:00 · 2026-10-10 20:30:14 +08:00
371 changed files with 57524 additions and 10795 deletions
@@ -0,0 +1,128 @@
+"""Regenerate ``src/calliope/comfyui/ui_widget_orders.py`` (HEL-681).
+
+Offline widget-order registry for the UI→API converter. Sources, in priority:
+
+1. ``widgets_values_named`` instances across ``example_ComfyUI_workflows``
+   (including subgraph inner nodes) — the frontend serializes named widgets
+   in widget order, so the key order IS the serialization order;
+2. the repo's 10 ground-truth API exports (root ``*_API.json``) — scalar
+   input names in export order (control_after_generate entries are absent
+   there; the converter's walk skips them positionally).
+
+Run from anywhere inside the repo:
+    python scripts/build_widget_orders.py
+"""
+
+from __future__ import annotations
+
+import collections
+import json
+from pathlib import Path
+
+BACKEND = Path(__file__).resolve().parents[1]
+REPO = BACKEND.parent
+EXAMPLES = REPO / "example_ComfyUI_workflows"
+OUT = BACKEND / "src" / "calliope" / "comfyui" / "ui_widget_orders.py"
+
+BUTTONS = {"preview", "audioUI", "compare_view", "ToggleableColorPicker", "imagebrowser"}
+MAX_SIGNATURES = 3
+MAX_ORDER_LEN = 48
+
+# Hand-curated fallbacks for node classes the corpus never serializes with
+# names (classic core/custom widgets whose order is stable and public).
+CURATED: dict[str, list[list[str]]] = {
+    "PrimitiveNode": [["value"]],
+    "Seed (rgthree)": [["seed"]],
+}
+
+
+def _iter_ui_nodes() -> list[dict]:
+    nodes: list[dict] = []
+    for path in sorted(EXAMPLES.rglob("*.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except (json.JSONDecodeError, OSError):
+            continue
+        if not (isinstance(data, dict) and isinstance(data.get("nodes"), list)):
+            continue
+        nodes.extend(n for n in data["nodes"] if isinstance(n, dict))
+        for sub in data.get("definitions", {}).get("subgraphs", []) or []:
+            if isinstance(sub, dict):
+                nodes.extend(n for n in sub.get("nodes", []) or [] if isinstance(n, dict))
+    return nodes
+
+
+def _iter_api_workflows() -> list[dict]:
+    out: list[dict] = []
+    for path in sorted(EXAMPLES.glob("*_API.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except (json.JSONDecodeError, OSError):
+            continue
+        if isinstance(data, dict) and "nodes" not in data:
+            out.append(data)
+    return out
+
+
+def main() -> None:
+    learned: dict[str, collections.Counter[tuple[str, ...]]] = collections.defaultdict(
+        collections.Counter
+    )
+    for node in _iter_ui_nodes():
+        named = node.get("widgets_values_named")
+        if not isinstance(named, dict) or not named:
+            continue
+        keys = tuple(
+            str(k) for k in named.keys() if k and k not in BUTTONS
+        )
+        if keys and len(keys) <= MAX_ORDER_LEN:
+            learned[str(node.get("type") or "")][keys] += 1
+
+    for workflow in _iter_api_workflows():
+        for node in workflow.values():
+            if not isinstance(node, dict):
+                continue
+            names = [
+                str(k)
+                for k, v in (node.get("inputs") or {}).items()
+                if not isinstance(v, list) and k and k not in BUTTONS
+            ]
+            if len(names) > MAX_ORDER_LEN:
+                continue
+            # Display nodes (PreviewAny…) carry zero scalar inputs — that
+            # empty order is real signal: their positional arrays are pure
+            # button leftovers and map to {}.
+            learned[str(node.get("class_type") or "")][tuple(names)] += 1
+
+    registry: dict[str, list[list[str]]] = {}
+    for node_type, counter in sorted(learned.items()):
+        if not node_type:
+            continue
+        orders: list[list[str]] = []
+        for signature, _count in counter.most_common(MAX_SIGNATURES):
+            orders.append(list(signature))
+        if orders:
+            registry[node_type] = orders
+    for node_type, orders in CURATED.items():
+        registry.setdefault(node_type, orders)
+
+    body = json.dumps(registry, ensure_ascii=False, indent=1, sort_keys=True)
+    OUT.write_text(
+        '"""GENERATED by scripts/build_widget_orders.py — do not edit by hand.\n'
+        "\n"
+        "Widget-order registry for the UI→API converter: class_type → candidate\n"
+        "widget name orders, learned from the repo's named-widget UI files and\n"
+        "ground-truth API exports (HEL-681).\n"
+        '"""\n'
+        "\n"
+        "from __future__ import annotations\n"
+        "\n"
+        f"WIDGET_ORDERS: dict[str, list[list[str]]] = {body}\n",
+        encoding="utf-8",
+    )
+    total = sum(len(o) for orders in registry.values() for o in orders)
+    print(f"wrote {OUT.name}: {len(registry)} node types, {total} orders total")
+
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,170 @@
+"""Generate the HEL-681 dry-run report over the repo's UI workflow library.
+
+Walks ``example_ComfyUI_workflows`` (or ``--root``), runs every file through
+the production converter + lint + parser pipeline (exactly what
+``POST /api/workflows/convert`` does, minus HTTP), and writes a JSON detail
+file plus a human-readable Markdown summary. Read-only: nothing is imported,
+no DB is touched.
+
+Usage:
+    python scripts/ui_import_dryrun.py [--root DIR] [--out PREFIX]
+"""
+
+from __future__ import annotations
+
+import argparse
+import collections
+import json
+import sys
+from pathlib import Path
+
+BACKEND = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(BACKEND / "src"))
+
+from calliope.comfyui.lint import workflow_warnings  # noqa: E402
+from calliope.comfyui.metadata import suggested_metadata  # noqa: E402
+from calliope.comfyui.parser import classify_usage  # noqa: E402
+from calliope.comfyui.ui_convert import convert_ui_workflow  # noqa: E402
+
+REPO = BACKEND.parent
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--root", default=str(REPO / "example_ComfyUI_workflows"))
+    parser.add_argument("--out", default=str(REPO / "dryrun_report"))
+    args = parser.parse_args()
+    root = Path(args.root)
+    out_prefix = Path(args.out)
+
+    entries = []
+    for path in sorted(root.rglob("*.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except (json.JSONDecodeError, OSError) as exc:
+            entries.append(
+                {
+                    "source_path": str(path.relative_to(root)),
+                    "status": "fail",
+                    "issues": [{"code": "unreadable", "message": str(exc)}],
+                }
+            )
+            continue
+        if not (isinstance(data, dict) and isinstance(data.get("nodes"), list)):
+            continue  # API-format / non-workflow files are out of scope
+        rel = str(path.relative_to(root))
+        result = convert_ui_workflow(data)
+        entry: dict = {
+            "source_path": rel,
+            "status": result.status,
+            "needs_confirmation": result.needs_confirmation,
+            "issues": [
+                {"node_id": i.node_id, "code": i.code, "level": i.level, "message": i.message}
+                for i in result.issues
+            ],
+        }
+        if result.workflow is not None:
+            entry["node_count"] = len(result.workflow)
+            entry["suggested"] = suggested_metadata(result.workflow, rel, data)
+            errors = [w for w in workflow_warnings(result.workflow) if w["level"] == "error"]
+            entry["lint_errors"] = [e["code"] for e in errors]
+            entry["importable"] = not result.needs_confirmation and not errors
+        else:
+            entry["importable"] = False
+        entries.append(entry)
+
+    counts = collections.Counter(e["status"] for e in entries)
+    code_counts = collections.Counter(
+        i["code"] for e in entries for i in e["issues"]
+    )
+    category_counts = collections.Counter(
+        (e.get("suggested") or {}).get("category") or "?" for e in entries
+    )
+    family_counts = collections.Counter(
+        (e.get("suggested") or {}).get("model_family") or "?" for e in entries
+    )
+    importable = sum(1 for e in entries if e.get("importable"))
+    needs_confirmation = sum(1 for e in entries if e["needs_confirmation"])
+    lint_blocked = [e for e in entries if e.get("lint_errors")]
+
+    detail = {
+        "root": str(root),
+        "total": len(entries),
+        "status_counts": dict(counts),
+        "issue_code_counts": dict(code_counts),
+        "importable": importable,
+        "needs_confirmation": needs_confirmation,
+        "lint_blocked": [e["source_path"] for e in lint_blocked],
+        "files": entries,
+    }
+    out_prefix.parent.mkdir(parents=True, exist_ok=True)
+    (out_prefix.with_suffix(".json")).write_text(
+        json.dumps(detail, ensure_ascii=False, indent=1), encoding="utf-8"
+    )
+
+    lines = [
+        "# HEL-681 工作流 UI→API 转换 dry-run 报告",
+        "",
+        f"- 扫描目录：`{root}`（根目录 10 个 API 格式旧文件不在本管线范围）",
+        f"- UI 格式文件总数：**{len(entries)}**",
+        f"- 转换结果：ok **{counts.get('ok', 0)}** / warn **{counts.get('warn', 0)}** / fail **{counts.get('fail', 0)}**",
+        f"- 其中「需人工确认」（控件无法可靠映射，禁止直接导入）：**{needs_confirmation}**",
+        f"- 通过转换＋lint 后可直接导入：**{importable}**",
+        f"- 转换成功但被现有 lint 拦截（导入时按阻止处理）：**{len(lint_blocked)}**",
+        "",
+        "## 分类分布（自动提取）",
+        "",
+        "| 分类 | 数量 |",
+        "|---|---|",
+    ]
+    for cat, n in sorted(category_counts.items()):
+        lines.append(f"| {cat} | {n} |")
+    lines += ["", "## 模型家族分布（自动提取）", "", "| 家族 | 数量 |", "|---|---|"]
+    for fam, n in sorted(family_counts.items(), key=lambda kv: -kv[1]):
+        lines.append(f"| {fam} | {n} |")
+    lines += ["", "## 问题代码统计", "", "| 代码 | 次数 | 含义 |", "|---|---|---|"]
+    meaning = {
+        "muted_input_dropped": "上游节点被静音，输入按未连接处理",
+        "variable_upstream_dropped": "Set/Get 变量上游被旁路，取值按未连接处理",
+        "get_without_set": "GetNode 没有同名 SetNode",
+        "widget_unmapped": "控件值无法可靠映射到输入名（需人工确认）",
+        "widget_order_mismatch": "控件数量与已知顺序不符（需人工确认）",
+        "no_output_node": "图中无已知输出节点，全部活跃节点保留待确认",
+        "cyclic_variable": "Set/Get 循环（FOR 循环流），该连线按未连接处理",
+        "dangling_link": "连线指向不存在的节点",
+    }
+    for code, n in code_counts.most_common():
+        lines.append(f"| `{code}` | {n} | {meaning.get(code, '')} |")
+    lines += ["", "## 需人工确认文件清单", ""]
+    for e in entries:
+        if e["needs_confirmation"]:
+            reasons = sorted({i["code"] for i in e["issues"]})[:3]
+            lines.append(f"- `{e['source_path']}`（{', '.join(reasons)}）")
+    lines += ["", "## lint 拦截文件清单", ""]
+    for e in lint_blocked:
+        lines.append(f"- `{e['source_path']}`（{', '.join(e['lint_errors'])}）")
+    lines += [
+        "",
+        "## 逐文件结果",
+        "",
+        "| 文件 | 状态 | 节点数 | 分类 | 模型家族 | 用途 | 问题 |",
+        "|---|---|---|---|---|---|---|",
+    ]
+    for e in entries:
+        sug = e.get("suggested") or {}
+        issues = collections.Counter(i["code"] for i in e["issues"])
+        issue_text = ", ".join(f"{c}×{n}" for c, n in issues.most_common(2)) or "-"
+        usage = sug.get("usage") or ("待定" if sug.get("usage_ambiguous") else "-")
+        lines.append(
+            f"| `{e['source_path']}` | {e['status']} | {e.get('node_count', '-')} "
+            f"| {sug.get('category') or '-'} | {sug.get('model_family') or '-'} "
+            f"| {usage} | {issue_text} |"
+        )
+    (out_prefix.with_suffix(".md")).write_text("\n".join(lines) + "\n", encoding="utf-8")
+    print(f"{len(entries)} files: {dict(counts)}, importable={importable}, nc={needs_confirmation}")
+    print(f"report → {out_prefix}.md / {out_prefix}.json")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
@@ -0,0 +1,165 @@
+"""Named-agent registry (HEL-613): the five AIGC roles that back both the
+「智能体」page's independent chat sessions and (in a later card) the five-stage
+creation flow.
+
+An `agent_key` stamps a session at creation time and never changes; the
+runner copies it into ToolContext so prompt assembly (persona + mode) and
+LLM selection (role → agent_llm_assignments) follow it.
+
+LLM roles reuse the five roles already exposed on the models page's
+「智能体默认模型」panel (story/style/script/assets/video), so a model bound
+there drives the same agent here — one source of truth, per spec §9.4.
+"""
+from __future__ import annotations
+
+from typing import Any
+
+AgentDef = dict[str, Any]
+
+# Order matters: it is the display order in the left column (spec §4.3).
+AGENTS: dict[str, AgentDef] = {
+    "script": {
+        "key": "script",
+        "name": "剧本创作",
+        "char": "剧",
+        "avatar": 1,
+        "avatar_dark": True,
+        "llm_role": "story",
+        "tagline": "从创意或既有素材发展大纲、分场与台词",
+        "persona": (
+            "你是「剧本创作」智能体——一位资深短视频/音乐短片编剧，负责把用户的创意打磨成可拍摄的剧本。\n"
+            "- 职责：产出故事大纲、分场结构（场次/场景/时间）、人物小传、台词与动作描述；"
+            "用户提供现成剧本时，先读懂再帮用户修改、补全或提炼。\n"
+            "- 产出要求：结构清晰（大纲→分场→台词逐层展开），台词口语化、有情绪；"
+            "关键设定（人物、场景、时代、基调）显式列出，方便后续环节复用。\n"
+            "- 你是创作顾问：有取舍分歧时给出方案与理由，请用户拍板，不自作主张定稿。\n"
+            "- 默认用简体中文回复。这是独立会话，不参与五段创作流程；需要视觉/分镜/素材建议时，"
+            "建议用户去对应智能体会话继续。"
+        ),
+    },
+    "style": {
+        "key": "style",
+        "name": "视觉设计",
+        "char": "视",
+        "avatar": 2,
+        "avatar_dark": False,
+        "llm_role": "style",
+        "tagline": "为剧本给出多套风格方向与生图风格提示词",
+        "persona": (
+            "你是「视觉设计」智能体——一位 AIGC 视觉导演，负责为剧本或创意确定整体视觉风格。\n"
+            "- 职责：基于剧本/创意给出 2–4 套差异化风格方向（如写实电影感、动漫赛璐璐、水墨、"
+            "三维卡通等），每套包含：风格说明、色调与光影、材质与线条特征、适用的生图关键词组"
+            "（正向提示词，英文逗号分隔，可直接用于生图模型），必要时附负面提示词建议。\n"
+            "- 产出要求：风格方向用清晰的分段呈现；提示词词组完整可复制；说明每套风格适合的"
+            "题材与镜头类型。\n"
+            "- 你是顾问：推荐倾向可以给，最终风格由用户选择。\n"
+            "- 默认用简体中文回复；提示词词组本身用英文（生图模型惯例），并附中文说明。"
+            "这是独立会话，不参与五段创作流程。"
+        ),
+    },
+    "storyboard": {
+        "key": "storyboard",
+        "name": "分镜设计",
+        "char": "分",
+        "avatar": 3,
+        "avatar_dark": False,
+        "llm_role": "script",
+        "tagline": "把剧本拆成逐镜分镜表与镜头语言",
+        "persona": (
+            "你是「分镜设计」智能体——一位分镜师，负责把剧本拆解成可执行的分镜表。\n"
+            "- 职责：按场次产出逐镜清单，每镜包含：镜号、景别（远/全/中/近/特写）、"
+            "机位与运镜（推/拉/摇/移/跟/固定）、画面内容描述、台词/音效起点、时长建议。\n"
+            "- 产出要求：表格或逐镜列表，信息完整可直接交给素材与视频环节；"
+            "运镜术语规范，节奏有起伏，重要情绪点给特写。\n"
+            "- 有多种可行拆法时，先给一版主推方案，再简述备选思路，请用户确认。\n"
+            "- 默认用简体中文回复。这是独立会话，不参与五段创作流程。"
+        ),
+    },
+    "assets": {
+        "key": "assets",
+        "name": "素材资产",
+        "char": "素",
+        "avatar": 4,
+        "avatar_dark": False,
+        "llm_role": "assets",
+        "tagline": "为角色、场景、道具产出完整生图提示词",
+        "persona": (
+            "你是「素材资产」智能体——一位 AIGC 美术资产师，负责产出角色立绘、场景图、道具图的"
+            "完整生图提示词。\n"
+            "- 职责：根据剧本/分镜/风格整理资产清单（角色/场景/道具），为每项资产写出可直接"
+            "复制使用的生图提示词：主体与外观细节、风格关键词（沿用视觉设计确定的方向）、"
+            "构图与视角、画质词；必要时附负面提示词与一致性要点（同一角色多视角如何保持一致）。\n"
+            "- 产出要求：按资产逐条给出，提示词完整、自成一体、可复制；英文提示词附中文说明。\n"
+            "- 资产数量多时先给清单让用户确认优先级。\n"
+            "- 默认用简体中文回复。这是独立会话，不参与五段创作流程。"
+        ),
+    },
+    "shot": {
+        "key": "shot",
+        "name": "镜头脚本",
+        "char": "镜",
+        "avatar": 5,
+        "avatar_dark": False,
+        "llm_role": "video",
+        "tagline": "产出视频模型可用的逐镜脚本与提示词",
+        "persona": (
+            "你是「镜头脚本」智能体——一位 AIGC 视频导演，负责把分镜转化为视频生成模型"
+            "（如 MiniMax H3）可用的逐镜脚本。\n"
+            "- 职责：为每镜产出视频提示词，包含：画面主体与动作、运镜指令、"
+            "镜头语言与构图、光影氛围、时长与节奏；图生视频镜头写清首帧画面来源与运动走向，"
+            "首尾帧镜头分别描述首帧与尾帧画面。\n"
+            "- 产出要求：逐镜编号、结构统一、提示词完整可复制；同一项目的运镜与风格保持一致。\n"
+            "- 涉及参考视频/遮罩等输入时，说明每镜需要准备的素材。\n"
+            "- 默认用简体中文回复；视频提示词主体用英文（视频模型惯例），并附中文说明。"
+            "这是独立会话，不参与五段创作流程。"
+        ),
+    },
+}
+
+AGENT_KEYS: tuple[str, ...] = tuple(AGENTS.keys())
+
+# Prompt-section text for named-agent sessions (replaces the generic SANDBOX
+# mode text — these chats have no canvas/project surface of their own).
+def mode_text(agent_key: str) -> str:
+    agent = AGENTS.get(agent_key)
+    name = agent["name"] if agent else agent_key
+    return (
+        f"SESSION MODE: AGENT CHAT — you are 「{name}」, talking to the user in an "
+        "independent chat. This session is NOT part of the five-stage creation "
+        "flow and has no project workspace of its own.\n"
+        "- Stay in your professional role; do the thinking and writing yourself.\n"
+        "- Skills assigned to you (and enabled) are listed in the Skills section "
+        "below — load them with read_skill(name) before applying them.\n"
+        "- Deliverables (outlines, style directions, storyboards, prompts) go "
+        "directly into your reply as well-structured text the user can copy.\n"
+        "- If the user wants media generation or the five-stage flow, say the "
+        "independent image/video windows and the creation workbench are the "
+        "right surfaces."
+    )
+
+
+def persona_text(agent_key: str) -> str | None:
+    agent = AGENTS.get(agent_key)
+    return agent["persona"] if agent else None
+
+
+def llm_role_for(agent_key: str | None) -> str:
+    """LLM role for a session's agent_key; 'main' for plain sessions."""
+    agent = AGENTS.get(agent_key or "")
+    return agent["llm_role"] if agent else "main"
+
+
+def public_list() -> list[dict[str, Any]]:
+    """Registry view for the API (no personas — those are server-side)."""
+    return [
+        {
+            "key": a["key"],
+            "name": a["name"],
+            "char": a["char"],
+            "avatar": a["avatar"],
+            "avatar_dark": bool(a.get("avatar_dark")),
+            "llm_role": a["llm_role"],
+            "tagline": a["tagline"],
+        }
+        for a in AGENTS.values()
+    ]
@@ -480,7 +480,11 @@ async def run_turn(
            }
        )

-    client = _llm_for_role("main")
+    # Named-agent sessions (HEL-613) use the agent's bound LLM role; plain
+    # sessions keep 'main' (Active LLM unless a role assignment says otherwise).
+    from calliope.agent.agents_registry import llm_role_for
+
+    client = _llm_for_role(llm_role_for(getattr(ctx, "agent_key", None)))
    final_text = ""
    turn_status = "completed"
    synthetic_idx: list[int] = []  # positions of budget-nudge messages (stripped after)
@@ -1305,9 +1305,10 @@ async def t_list_workflows(ctx: ToolContext, args: dict[str, Any]) -> list[dict[


 async def t_comfy_server_info(ctx: ToolContext, args: dict[str, Any]) -> dict[str, Any]:
-    from calliope.comfyui.client import ComfyUIClient
+    from calliope.comfyui.endpoints import client_for

-    client = ComfyUIClient()
+    # Active connection (with its auth headers) — HEL-611 multi-endpoint.
+    client = client_for(None)
    try:
        info = await client.health()
        return {"ok": True, "comfyui": info}
@@ -11,6 +11,7 @@ from typing import Any

 from calliope.agent.harness.registry import ToolContext, ToolDefinition, ToolRegistry
 from calliope.agent.skills_store import (
+    effective_skill_dirs,
    ensure_builtin_skills,
    list_skills as store_list_skills,
    read_skill_file,
@@ -23,7 +24,12 @@ _PROMPT_CAP = 24


 async def t_list_skills(ctx: ToolContext, args: dict[str, Any]) -> dict[str, Any]:
-    skills = store_list_skills()
+    agent_key = getattr(ctx, "agent_key", None)
+    if agent_key:
+        effective = effective_skill_dirs(agent_key)
+        skills = [s for s in store_list_skills(cap=None) if s["dir"] in effective]
+    else:
+        skills = store_list_skills()
    return {"ok": True, "skills": skills, "count": len(skills)}


@@ -31,13 +37,28 @@ async def t_read_skill(ctx: ToolContext, args: dict[str, Any]) -> dict[str, Any]
    ensure_builtin_skills()
    name = str(args.get("name") or "").strip()
    rel = str(args.get("path") or "SKILL.md").strip()
+    agent_key = getattr(ctx, "agent_key", None)
+    if agent_key:
+        # Named-agent sessions may only load skills assigned to them AND
+        # enabled (HEL-613 gating — the discovery list matches this rule).
+        effective = effective_skill_dirs(agent_key)
+        known = {
+            d for d in effective
+        } | {s["name"] for s in store_list_skills(cap=None) if s["dir"] in effective}
+        if name not in known:
+            return {
+                "ok": False,
+                "error": (
+                    f"skill '{name}' is not assigned to this agent or is disabled"
+                ),
+            }
    return read_skill_file(name, rel)


 def skills_prompt_text(ctx: ToolContext) -> str | None:
    """Discovery section: names + descriptions only (cheap; bodies load via
    read_skill). None when there are no skills."""
-    lines = skills_prompt_lines()
+    lines = skills_prompt_lines(agent_key=getattr(ctx, "agent_key", None))
    if not lines:
        return None
    return (
@@ -71,6 +71,11 @@ class SystemPromptService:


 async def _persona_section(ctx: ToolContext) -> str | None:
+    from calliope.agent.agents_registry import persona_text
+
+    named = persona_text(getattr(ctx, "agent_key", None) or "")
+    if named:
+        return named
    return _persona_text()


@@ -86,6 +91,13 @@ async def _mode_section(ctx: ToolContext) -> str | None:


 def _mode_text(ctx: ToolContext) -> str:
+    agent_key = getattr(ctx, "agent_key", None)
+    if agent_key:
+        # Named-agent independent chat (HEL-613): not a canvas sandbox —
+        # replace the sandbox/project mode text with the agent-chat contract.
+        from calliope.agent.agents_registry import mode_text
+
+        return mode_text(agent_key)
    if getattr(ctx, "origin", "chat") == "scene":
        return (
            "SESSION MODE: BUILD SCENE — this chat drives the 3D composition.\n"
@@ -284,6 +296,10 @@ async def _tool_discipline_section(ctx: ToolContext) -> str | None:


 async def _mentions_section(ctx: ToolContext) -> str | None:
+    if getattr(ctx, "agent_key", None):
+        # Named-agent chat (HEL-613): the independent agents page has no
+        # workflow mention affordance; skills arrive via the Skills section.
+        return None
    if getattr(ctx, "origin", "chat") == "scene":
        return (
            "Build Scene sessions ignore workflow tags for generation. "
@@ -75,11 +75,15 @@ class ToolContext:
    None means a blind/sandbox session (only project-creating tools allowed).
    `origin` stamps WHERE the session was born ('chat' | 'scene') — scene
    sessions are Build Scene's blockout surface and get the shot-tool-only
-    payload; it says nothing about project linking."""
+    payload; it says nothing about project linking.
+    `agent_key` names WHICH of the five AIGC agents (剧本创作 etc.) owns the
+    session (HEL-613) — drives per-agent persona/mode prompt sections and the
+    LLM role. None = a plain harness session."""

    session_id: int
    project_id: int | None = None
    origin: str = "chat"
+    agent_key: str | None = None


@dataclass
@@ -140,7 +140,7 @@ class AgentRunner:
        finally:
            conn.close()

-    def _make_message_sink(self, session_id: int):
+    def _make_message_sink(self, session_id: int, default_agent_name: str | None = None):
        """Persistence + broadcast sink for harness messages (planner notes,
        sub-agent reports). Tool calls/results are already logged by the loop
        via the event log — the sink only mirrors them into agent_messages."""
@@ -157,11 +157,16 @@ class AgentRunner:
                        "truncated": True,
                        "preview": text[: session_log.EVENT_DATA_TRUNCATE] + "…[truncated]",
                    }
+            agent_name = message.get("agent_name")
+            if not agent_name and default_agent_name and message.get("role") == "assistant":
+                # Named-agent sessions (HEL-613): main-loop replies carry no
+                # agent_name — stamp the owning agent so bubbles/labels match.
+                agent_name = default_agent_name
            persisted = self._persist_message(
                session_id,
                role=message.get("role") or "assistant",
                content=message.get("content") or "",
-                agent_name=message.get("agent_name"),
+                agent_name=agent_name,
                tool_name=message.get("tool_name"),
                tool_args=message.get("tool_args")
                if isinstance(message.get("tool_args"), dict)
@@ -366,10 +371,12 @@ class AgentRunner:
        conn = self._db()
        try:
            row = conn.execute(
-                "SELECT project_id, origin FROM agent_sessions WHERE id = ?", (session_id,)
+                "SELECT project_id, origin, agent_key FROM agent_sessions WHERE id = ?",
+                (session_id,),
            ).fetchone()
            project_id = row["project_id"] if row else None
            origin = (row["origin"] if row else None) or "chat"
+            agent_key = (row["agent_key"] if row else None) or None
        finally:
            conn.close()

@@ -377,13 +384,19 @@ class AgentRunner:
            session_id=session_id,
            project_id=project_id,
            origin=origin,
+            agent_key=agent_key,
+        )
+        from calliope.agent.agents_registry import AGENTS
+
+        default_agent_name = (
+            AGENTS.get(agent_key or "", {}).get("name") if agent_key else None
        )
        try:
            final = await orchestrate(
                ctx,
                [],  # history derived inside from the event log
                session_id=session_id,
-                on_message=self._make_message_sink(session_id),
+                on_message=self._make_message_sink(session_id, default_agent_name),
            )
            # Final answer is persisted + broadcast by the loop's emit() call
            # (which goes through the message sink). Only set status here.
@@ -21,7 +21,24 @@ from calliope.config import settings

 READ_CHAR_CAP = 8000
 _LIST_CAP = 24
+VERSIONS_PER_SKILL_CAP = 20
 _FRONTMATTER_RE = re.compile(r"\A---\s*\n(.*?)\n---\s*\n?", re.DOTALL)
+_NAME_MAX = 64
+# Skill types offered by the editor (spec §4.3): 提示词模板 / 参考知识 / 流程规则
+SKILL_TYPES = ("template", "knowledge", "rules")
+
+
+def _valid_dir_name(name: str) -> bool:
+    return bool(
+        name
+        and name not in (".", "..")
+        and "/" not in name
+        and "\\" not in name
+        and not name.startswith(".")
+        and len(name) <= _NAME_MAX
+        and all(ch not in name for ch in "\x00\r\n\t")
+        and name == name.strip()
+    )


 def skills_root() -> Path:
@@ -110,36 +127,334 @@ def skill_summary(skill_dir: Path) -> dict[str, Any] | None:
    if not meta:
        return None
    metadata = meta.get("metadata") if isinstance(meta.get("metadata"), dict) else {}
+    try:
+        updated = skill_file.stat().st_mtime
+    except OSError:
+        updated = None
+    skill_type = str(metadata.get("type") or "") if metadata else ""
    return {
        "name": str(meta.get("name") or skill_dir.name),
        "description": str(meta.get("description") or "").strip(),
        "version": str(meta.get("version") or ""),
        "tags": metadata.get("tags") or [],
        "dir": skill_dir.name,
+        "type": skill_type if skill_type in SKILL_TYPES else "",
+        "updated_at": updated,
    }


-def list_skills() -> list[dict[str, Any]]:
-    """Frontmatter summaries for every `*/SKILL.md`, sorted by name."""
+def list_skills(cap: int | None = _LIST_CAP) -> list[dict[str, Any]]:
+    """Frontmatter summaries for every `*/SKILL.md`, sorted by name.
+
+    `cap=None` lists everything (the management surface); the default keeps
+    the historical 24-item ceiling for the discovery prompt/tool.
+    """
    ensure_builtin_skills()
    root = skills_root()
    if not root.is_dir():
        return []
    out: list[dict[str, Any]] = []
+    limit = cap  # _LIST_CAP by default; explicit None = unlimited
    for skill_dir in sorted(root.iterdir()):
        if not skill_dir.is_dir():
            continue
        summary = skill_summary(skill_dir)
        if summary:
            out.append(summary)
-        if len(out) >= _LIST_CAP:
+        if limit is not None and len(out) >= limit:
            break
    return out


-def skills_prompt_lines() -> list[str]:
-    """`- name: description` lines for the agent's discovery section."""
-    return [f"- {s['name']}: {s['description']}" for s in list_skills()]
+# ─────────────────────────────────────────────────────────────────────────
+# Admin state (HEL-613): enable flags + per-agent assignment live in the DB;
+# file content stays the single truth for what a skill IS.
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def _admin_db():
+    from calliope.db import get_db
+
+    return get_db(settings.db_path)
+
+
+def skill_enable_states() -> dict[str, bool]:
+    """skill dir name → global enable (absent row = enabled)."""
+    conn = _admin_db()
+    try:
+        rows = conn.execute("SELECT skill_name, is_enabled FROM skill_overrides").fetchall()
+        return {r["skill_name"]: bool(r["is_enabled"]) for r in rows}
+    finally:
+        conn.close()
+
+
+def skill_binding_map() -> dict[str, dict[str, bool]]:
+    """skill dir name → {agent_key: enabled}."""
+    conn = _admin_db()
+    try:
+        rows = conn.execute(
+            "SELECT agent_key, skill_name, is_enabled FROM skill_bindings"
+        ).fetchall()
+        out: dict[str, dict[str, bool]] = {}
+        for r in rows:
+            out.setdefault(r["skill_name"], {})[r["agent_key"]] = bool(r["is_enabled"])
+        return out
+    finally:
+        conn.close()
+
+
+def set_skill_enabled(name: str, enabled: bool) -> None:
+    conn = _admin_db()
+    try:
+        conn.execute(
+            "INSERT INTO skill_overrides(skill_name, is_enabled) VALUES (?, ?) "
+            "ON CONFLICT(skill_name) DO UPDATE SET is_enabled = excluded.is_enabled",
+            (name, 1 if enabled else 0),
+        )
+        conn.commit()
+    finally:
+        conn.close()
+
+
+def set_skill_bindings(name: str, bindings: dict[str, bool]) -> None:
+    """Replace the assignment matrix for one skill (agent_key → enabled)."""
+    conn = _admin_db()
+    try:
+        from calliope.agent.agents_registry import AGENT_KEYS
+
+        conn.execute("DELETE FROM skill_bindings WHERE skill_name = ?", (name,))
+        for key in AGENT_KEYS:
+            if key in bindings:
+                conn.execute(
+                    "INSERT INTO skill_bindings(agent_key, skill_name, is_enabled) "
+                    "VALUES (?, ?, ?)",
+                    (key, name, 1 if bindings[key] else 0),
+                )
+        conn.commit()
+    finally:
+        conn.close()
+
+
+def effective_skill_dirs(agent_key: str | None) -> set[str]:
+    """Dir names visible to a session: global enable ∩ enabled binding for
+    the agent. Plain sessions (agent_key None) see all globally-enabled
+    skills — the pre-HEL-613 behavior."""
+    enabled = skill_enable_states()
+    dirs = {s["dir"] for s in list_skills(cap=None) if enabled.get(s["dir"], True)}
+    if not agent_key:
+        return dirs
+    bindings = skill_binding_map()
+    out: set[str] = set()
+    for skill_dir in dirs:
+        if bindings.get(skill_dir, {}).get(agent_key) is True:
+            out.add(skill_dir)
+    return out
+
+
+def skills_prompt_lines(agent_key: str | None = None) -> list[str]:
+    """`- name: description` lines for the agent's discovery section,
+    filtered to the skills effective for that session's agent."""
+    effective = effective_skill_dirs(agent_key)
+    return [
+        f"- {s['name']}: {s['description']}"
+        for s in list_skills(cap=None)
+        if s["dir"] in effective
+    ]
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Write / delete / versions
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def _bump_version(prev: str) -> str:
+    prev = (prev or "").strip()
+    if not prev:
+        return "1.0.0"
+    m = re.match(r"(\d+)\.(\d+)\.(\d+)$", prev)
+    if m:
+        return f"{m.group(1)}.{m.group(2)}.{int(m.group(3)) + 1}"
+    return "1.0.1"
+
+
+def render_skill_md(
+    name: str,
+    *,
+    description: str,
+    version: str,
+    tags: list[str] | None,
+    skill_type: str,
+    body: str,
+) -> str:
+    desc = " ".join(description.split())[:500]
+    tag_line = ", ".join(str(t).strip() for t in (tags or []) if str(t).strip())
+    lines = ["---", f"name: {name}"]
+    lines.append(f'description: "{desc.replace(chr(34), chr(39))}"')
+    lines.append(f"version: {version or '1.0.0'}")
+    lines.append("metadata:")
+    lines.append("  author: user")
+    if tag_line:
+        lines.append(f"  tags: [{tag_line}]")
+    if skill_type in SKILL_TYPES:
+        lines.append(f"  type: {skill_type}")
+    lines.append("---")
+    text = "\n".join(lines) + "\n\n" + (body if body.endswith("\n") or not body else body + "\n")
+    return text
+
+
+def snapshot_version(name: str, content: str) -> None:
+    """File the current SKILL.md full text as an edit snapshot (cap 20)."""
+    conn = _admin_db()
+    try:
+        conn.execute(
+            "INSERT INTO skill_versions(skill_name, content) VALUES (?, ?)",
+            (name, content),
+        )
+        stale = conn.execute(
+            "SELECT id FROM skill_versions WHERE skill_name = ? ORDER BY id DESC "
+            "LIMIT -1 OFFSET ?",
+            (name, VERSIONS_PER_SKILL_CAP),
+        ).fetchall()
+        for row in stale:
+            conn.execute("DELETE FROM skill_versions WHERE id = ?", (row["id"],))
+        conn.commit()
+    finally:
+        conn.close()
+
+
+def list_versions(name: str) -> list[dict[str, Any]]:
+    conn = _admin_db()
+    try:
+        rows = conn.execute(
+            "SELECT id, skill_name, content, created_at FROM skill_versions "
+            "WHERE skill_name = ? ORDER BY id DESC",
+            (name,),
+        ).fetchall()
+        return [
+            {
+                "id": r["id"],
+                "skill": r["skill_name"],
+                "created_at": r["created_at"],
+                "length": len(r["content"]),
+                "preview": r["content"][:160],
+            }
+            for r in rows
+        ]
+    finally:
+        conn.close()
+
+
+def version_content(name: str, version_id: int) -> str | None:
+    conn = _admin_db()
+    try:
+        row = conn.execute(
+            "SELECT content FROM skill_versions WHERE id = ? AND skill_name = ?",
+            (version_id, name),
+        ).fetchone()
+        return row["content"] if row else None
+    finally:
+        conn.close()
+
+
+def write_skill(
+    name: str,
+    *,
+    description: str,
+    version: str = "",
+    tags: list[str] | None = None,
+    skill_type: str = "",
+    body: str = "",
+) -> dict[str, Any]:
+    """Create/overwrite `<skills>/<name>/SKILL.md`. Snapshots the previous
+    file first (version history). Returns the new summary."""
+    if not _valid_dir_name(name):
+        raise ValueError(f"invalid skill name '{name}'")
+    ensure_builtin_skills()
+    skill_dir = skills_root() / name
+    skill_file = skill_dir / "SKILL.md"
+    prev_version = ""
+    if skill_file.is_file():
+        try:
+            old = skill_file.read_text(encoding="utf-8")
+        except OSError as exc:
+            raise ValueError(f"unreadable existing skill: {exc}") from exc
+        prev_meta = _parse_frontmatter(old)
+        prev_version = str(prev_meta.get("version") or "")
+        snapshot_version(name, old)
+    skill_dir.mkdir(parents=True, exist_ok=True)
+    new_version = (version or "").strip() or _bump_version(prev_version)
+    text = render_skill_md(
+        name,
+        description=description,
+        version=new_version,
+        tags=tags,
+        skill_type=skill_type,
+        body=body,
+    )
+    skill_file.write_text(text, encoding="utf-8")
+    summary = skill_summary(skill_dir)
+    return summary or {
+        "name": name,
+        "dir": name,
+        "description": description,
+        "version": new_version,
+        "tags": tags or [],
+        "type": skill_type,
+        "updated_at": None,
+    }
+
+
+def restore_skill_file(name: str, content: str) -> dict[str, Any]:
+    """Write a snapshot back verbatim (snapshotting the current file first,
+    so a restore is itself undoable). The snapshot carries its own
+    frontmatter — no re-render."""
+    if not _valid_dir_name(name):
+        raise ValueError(f"invalid skill name '{name}'")
+    skill_dir = skills_root() / name
+    skill_file = skill_dir / "SKILL.md"
+    if skill_file.is_file():
+        try:
+            old = skill_file.read_text(encoding="utf-8")
+            snapshot_version(name, old)
+        except OSError as exc:
+            raise ValueError(f"unreadable existing skill: {exc}") from exc
+    skill_dir.mkdir(parents=True, exist_ok=True)
+    skill_file.write_text(content, encoding="utf-8")
+    summary = skill_summary(skill_dir)
+    return summary or {
+        "name": name,
+        "dir": name,
+        "description": "",
+        "version": "",
+        "tags": [],
+        "type": "",
+        "updated_at": None,
+    }
+
+
+def delete_skill(name: str) -> None:
+    """Remove a skill dir (realpath-contained) + its DB state."""
+    if not _valid_dir_name(name):
+        raise ValueError(f"invalid skill name '{name}'")
+    skill_dir = skills_root() / name
+    if skill_dir.is_dir():
+        root_real = os.path.realpath(skills_root())
+        dir_real = os.path.realpath(skill_dir)
+        try:
+            contained = Path(dir_real).is_relative_to(Path(root_real))
+        except (OSError, ValueError):
+            contained = False
+        if not contained:
+            raise ValueError(f"invalid skill path '{name}'")
+        shutil.rmtree(dir_real)
+    conn = _admin_db()
+    try:
+        conn.execute("DELETE FROM skill_bindings WHERE skill_name = ?", (name,))
+        conn.execute("DELETE FROM skill_overrides WHERE skill_name = ?", (name,))
+        conn.execute("DELETE FROM skill_versions WHERE skill_name = ?", (name,))
+        conn.commit()
+    finally:
+        conn.close()


 def skill_files(name: str) -> list[str] | None:
@@ -2,6 +2,7 @@
 from __future__ import annotations

 import logging
+import time
 import uuid
 from pathlib import Path
 from typing import Any
@@ -13,6 +14,22 @@ from calliope.comfyui.registry import IMAGE_CLASSES, AUDIO_CLASSES, VIDEO_CLASSE

 logger = logging.getLogger("calliope.comfyui")

+# Reachability probe budget (HEL-619): matches the connections-page test
+# probe (5s). Without it health() inherits the 120s client default, so a
+# bad endpoint hangs every queued job for two minutes before failing.
+HEALTH_TIMEOUT_SEC = 5.0
+
+# /object_info fetch is a few MB on big instances; the preflight check
+# (HEL-642/643) caches it per endpoint for this long. Manual refresh
+# (`force_refresh=True`) bypasses the TTL.
+OBJECT_INFO_TTL_SEC = 300.0
+_object_info_cache: dict[str, tuple[float, dict[str, Any]]] = {}
+
+
+def clear_object_info_cache() -> None:
+    """Drop cached /object_info payloads (tests swap fake endpoints in)."""
+    _object_info_cache.clear()
+

 def _surface_error(prefix: str, resp: httpx.Response) -> RuntimeError:
    """Raise with ComfyUI's own error body instead of an opaque status line.
@@ -41,40 +58,82 @@ def _surface_error(prefix: str, resp: httpx.Response) -> RuntimeError:
                if not isinstance(node_err, dict):
                    continue
                errors = node_err.get("errors")
+                node = f"{node_id}（{node_err['class_type']}）" if node_err.get("class_type") else node_id
                if isinstance(errors, list):
                    for e in errors:
-                        if isinstance(e, dict):
-                            msg = e.get("message") or e.get("details")
-                            if msg:
-                                parts.append(f"node {node_id}: {msg}")
-        detail = "; ".join(parts)
-    suffix = f": {detail}" if detail else ""
-    return RuntimeError(f"{prefix} ({resp.status_code}){suffix}")
+                        if not isinstance(e, dict):
+                            continue
+                        if e.get("type") == "value_not_in_list":
+                            extra = e.get("extra_info") or {}
+                            parts.append(
+                                f"节点 {node}：ComfyUI 上没有「{extra.get('received_value', '?')}」"
+                                f"（{extra.get('input_name', '参数')} 不在可选列表中，"
+                                "多为模型文件未安装）"
+                            )
+                            continue
+                        msg = e.get("message") or e.get("details")
+                        if msg and e.get("details") and e["details"] != msg:
+                            msg = f"{msg}（{e['details']}）"
+                        if msg:
+                            parts.append(f"节点 {node}：{msg}")
+        detail = "；".join(parts)
+    suffix = f"：{detail}" if detail else ""
+    return RuntimeError(f"{prefix}（HTTP {resp.status_code}）{suffix}")


 class ComfyUIClient:
-    def __init__(self, base_url: str | None = None) -> None:
+    def __init__(self, base_url: str | None = None, headers: dict[str, str] | None = None) -> None:
        self.base_url = (base_url or settings.comfyui_base_url).rstrip("/")
        self.client_id = str(uuid.uuid4())
-        self._http = httpx.AsyncClient(timeout=120.0)
+        self._headers = dict(headers or {})
+        self._http = httpx.AsyncClient(timeout=120.0, headers=self._headers)

    async def close(self) -> None:
        await self._http.aclose()

    async def health(self) -> bool:
        try:
-            resp = await self._http.get(f"{self.base_url}/system_stats")
+            resp = await self._http.get(
+                f"{self.base_url}/system_stats", timeout=HEALTH_TIMEOUT_SEC
+            )
            return resp.status_code == 200
        except Exception:
            return False

+    def _cache_key(self) -> str:
+        auth = self._headers.get("Authorization") or next(
+            (v for k, v in self._headers.items() if k.lower() not in ("authorization",)), ""
+        )
+        return f"{self.base_url}|{auth}"
+
+    async def object_info(self, force_refresh: bool = False) -> dict[str, Any]:
+        """The server's full ``/object_info`` node catalogue, cached per endpoint.
+
+        Cached for OBJECT_INFO_TTL_SEC; ``force_refresh`` re-fetches (the
+        connections page "重新检查" button after the user installs nodes).
+        Raises on transport/HTTP errors so callers can report honestly.
+        """
+        key = self._cache_key()
+        now = time.monotonic()
+        if not force_refresh:
+            hit = _object_info_cache.get(key)
+            if hit and now - hit[0] < OBJECT_INFO_TTL_SEC:
+                return hit[1]
+        resp = await self._http.get(f"{self.base_url}/object_info", timeout=30.0)
+        resp.raise_for_status()
+        data = resp.json()
+        if not isinstance(data, dict):
+            raise RuntimeError("ComfyUI 返回的 /object_info 不是对象")
+        _object_info_cache[key] = (now, data)
+        return data
+
    async def upload_image(self, path: Path, subfolder: str = "calliope") -> str:
        data = path.read_bytes()
        files = {"image": (path.name, data, "application/octet-stream")}
        form = {"overwrite": "true", "subfolder": subfolder}
        resp = await self._http.post(f"{self.base_url}/upload/image", files=files, data=form)
        if resp.status_code >= 400:
-            raise _surface_error("ComfyUI image upload failed", resp)
+            raise _surface_error("图片上传到 ComfyUI 失败", resp)
        result = resp.json()
        name = result.get("name", path.name)
        sub = result.get("subfolder") or subfolder
@@ -94,7 +153,7 @@ class ComfyUIClient:
            form["subfolder"] = subfolder
        resp = await self._http.post(f"{self.base_url}/upload/image", files=files, data=form)
        if resp.status_code >= 400:
-            raise _surface_error("ComfyUI audio upload failed", resp)
+            raise _surface_error("音频上传到 ComfyUI 失败", resp)
        result = resp.json()
        name = result.get("name", path.name)
        sub = result.get("subfolder") or subfolder
@@ -107,7 +166,7 @@ class ComfyUIClient:
        form = {"overwrite": "true", "subfolder": subfolder, "type": "input"}
        resp = await self._http.post(f"{self.base_url}/upload/image", files=files, data=form)
        if resp.status_code >= 400:
-            raise _surface_error("ComfyUI video upload failed", resp)
+            raise _surface_error("视频上传到 ComfyUI 失败", resp)
        result = resp.json()
        name = result.get("name", path.name)
        sub = result.get("subfolder") or subfolder
@@ -201,11 +260,13 @@ class ComfyUIClient:
        payload = {"prompt": workflow, "client_id": self.client_id}
        resp = await self._http.post(f"{self.base_url}/prompt", json=payload)
        if resp.status_code >= 400:
-            raise _surface_error("ComfyUI rejected the workflow", resp)
+            raise _surface_error(
+                "ComfyUI 拒绝执行该工作流（常见原因：缺少模型/自定义节点，或参数不合法）", resp
+            )
        data = resp.json()
        prompt_id = data.get("prompt_id")
        if not prompt_id:
-            raise RuntimeError(f"ComfyUI /prompt missing prompt_id: {data}")
+            raise RuntimeError(f"ComfyUI 返回异常：/prompt 响应缺少 prompt_id（{str(data)[:200]}）")
        return prompt_id

    async def get_history(self, prompt_id: str) -> dict[str, Any] | None:
@@ -214,6 +275,37 @@ class ComfyUIClient:
        data = resp.json()
        return data.get(prompt_id)

+    async def locate_prompt(self, prompt_id: str) -> tuple[str, int]:
+        """Where ``prompt_id`` sits in ComfyUI's ``/queue``.
+
+        Returns ``("running", 0)``, ``("pending", <prompts ahead>)``,
+        ``("missing", 0)`` when the queue does not list it, or
+        ``("unknown", 0)`` when this server has no ``/queue`` route.
+        """
+        resp = await self._http.get(f"{self.base_url}/queue")
+        if resp.status_code == 404:
+            return "unknown", 0
+        resp.raise_for_status()
+        data = resp.json() if resp.content else {}
+        running = data.get("queue_running") or []
+        pending = data.get("queue_pending") or []
+
+        def pid(item: Any) -> Any:
+            return item[1] if isinstance(item, list) and len(item) > 1 else None
+
+        if any(pid(item) == prompt_id for item in running):
+            return "running", 0
+        mine = next((item for item in pending if pid(item) == prompt_id), None)
+        if mine is None:
+            return "missing", 0
+        ahead = sum(
+            1
+            for item in pending
+            if isinstance(item, list) and item and isinstance(item[0], (int, float))
+            and isinstance(mine[0], (int, float)) and item[0] < mine[0]
+        )
+        return "pending", len(running) + ahead
+
    async def download_image(
        self,
        filename: str,
@@ -223,7 +315,10 @@ class ComfyUIClient:
    ) -> Path:
        params = {"filename": filename, "subfolder": subfolder, "type": folder_type}
        resp = await self._http.get(f"{self.base_url}/view", params=params)
-        resp.raise_for_status()
+        if resp.status_code >= 400:
+            raise _surface_error(f"从 ComfyUI 下载结果文件 {filename} 失败", resp)
+        if not resp.content:
+            raise RuntimeError(f"从 ComfyUI 下载的结果文件 {filename} 是空文件")
        if dest is None:
            dest = settings.assets_dir / "comfy_downloads" / filename
        dest.parent.mkdir(parents=True, exist_ok=True)
@@ -236,16 +331,46 @@ class ComfyUIClient:
        except Exception as exc:
            logger.warning("ComfyUI interrupt failed: %s", exc)

-    def extract_outputs(self, history: dict[str, Any]) -> list[dict[str, str]]:
+    # History items carry no explicit media type — infer from the file
+    # extension first, then the history key the node reported under.
+    _VIDEO_EXTS = frozenset({".mp4", ".webm", ".mkv", ".mov", ".gif", ".m4v", ".avi", ".flv"})
+    _IMAGE_EXTS = frozenset({".png", ".jpg", ".jpeg", ".webp", ".bmp", ".tif", ".tiff"})
+
+    @classmethod
+    def _infer_media_kind(cls, filename: str, history_key: str) -> str | None:
+        ext = Path(str(filename)).suffix.lower()
+        if ext in cls._VIDEO_EXTS:
+            return "video"
+        if ext in cls._IMAGE_EXTS:
+            return "image"
+        if history_key in ("gifs", "videos"):
+            return "video"
+        return None
+
+    def extract_outputs(
+        self, history: dict[str, Any], node_kinds: dict[str, str] | None = None
+    ) -> list[dict[str, str]]:
+        """Media items in a finished prompt's history.
+
+        ``node_kinds`` (HEL-638) scopes the harvest to the workflow's
+        confirmed output nodes — {nodeId: image|video} — so results from
+        nodes the user never designated are ignored, and each item carries
+        the node id plus its inferred media kind for mismatch checks.
+        """
        outputs: list[dict[str, str]] = []
-        for _node_id, node_out in (history.get("outputs") or {}).items():
+        for node_id, node_out in (history.get("outputs") or {}).items():
+            if node_kinds is not None and str(node_id) not in node_kinds:
+                continue
            for key in ("images", "gifs", "videos"):
                for item in node_out.get(key) or []:
+                    filename = item.get("filename", "")
                    outputs.append(
                        {
-                            "filename": item.get("filename", ""),
+                            "filename": filename,
                            "subfolder": item.get("subfolder", ""),
                            "type": item.get("type", "output"),
+                            "node_id": str(node_id),
+                            "media_kind": self._infer_media_kind(filename, key) or "",
                        }
                    )
        return outputs
@@ -0,0 +1,67 @@
+"""Shared helpers for ComfyUI multi-connection endpoints (HEL-611).
+
+Every generation path (flow-internal video/asset jobs, playground, agent
+tool calls) funnels through ``queue_manager.enqueue``, which stamps an
+endpoint SNAPSHOT ``{id, name, base_url}`` into the job payload. The
+worker resolves that snapshot at run time: a still-configured endpoint id
+wins (fresh URL + token), a dangling id falls back to the snapshot URL,
+and no snapshot at all falls back to the active endpoint.
+"""
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+from calliope.config import settings
+
+if TYPE_CHECKING:
+    from calliope.comfyui.client import ComfyUIClient
+
+
+def endpoint_snapshot(endpoint_id: str | None) -> dict[str, Any] | None:
+    """Connection snapshot for the job payload — never includes the token.
+
+    Dangling ids fall back to the active endpoint (mirrors
+    ``resolve_comfyui_endpoint``'s leniency) so an enqueue never hard-fails
+    because a connection was deleted between submit and stamp.
+    """
+    endpoint = settings.resolve_comfyui_endpoint(endpoint_id)
+    if not endpoint:
+        return None
+    return {
+        "id": endpoint.get("id"),
+        "name": endpoint.get("name"),
+        "base_url": endpoint.get("base_url"),
+    }
+
+
+def build_auth_headers(endpoint: dict[str, Any]) -> dict[str, str]:
+    """Authorization headers for a stored endpoint (server-side only)."""
+    auth_type = endpoint.get("auth_type") or "none"
+    token = endpoint.get("auth_token") if isinstance(endpoint.get("auth_token"), str) else None
+    token = (token or "").strip()
+    if not token:
+        return {}
+    if auth_type == "bearer":
+        return {"Authorization": f"Bearer {token}"}
+    if auth_type == "header":
+        header = (endpoint.get("header_name") or "X-Api-Key").strip() or "X-Api-Key"
+        return {header: token}
+    return {}
+
+
+def client_for(endpoint: dict[str, Any] | None) -> ComfyUIClient:
+    """Build a ComfyUIClient for a stored endpoint (auth headers included).
+
+    ``None`` falls back to the active endpoint, so legacy call sites keep
+    their behaviour but gain auth support.
+    """
+    from calliope.comfyui.client import ComfyUIClient
+
+    if endpoint is None:
+        endpoint = settings.resolve_comfyui_endpoint(None)
+    if endpoint is None:
+        return ComfyUIClient()
+    return ComfyUIClient(
+        str(endpoint.get("base_url") or ""),
+        headers=build_auth_headers(endpoint),
+    )
@@ -0,0 +1,126 @@
+"""Structural checks on an imported ComfyUI API workflow.
+
+``error`` findings mean ComfyUI will reject the prompt as exported, so the
+studio blocks generation; ``warning`` findings only explain odd parameters.
+Nothing here repairs a workflow — a broken export has to be re-exported from
+a ComfyUI that has the missing custom nodes installed.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+REEXPORT_HINT = "请在已安装对应自定义节点的 ComfyUI 中打开该工作流，重新导出 API 格式 JSON 后再导入"
+
+# Nodes that cannot run without a model link.
+_NEEDS_MODEL = frozenset(
+    {"KSampler", "KSamplerAdvanced", "BasicGuider", "CFGGuider", "BasicScheduler"}
+)
+
+
+def _title(node_id: str, node: dict[str, Any]) -> str:
+    title = str((node.get("_meta") or {}).get("title") or "").strip()
+    return f"节点 {node_id}「{title}」" if title else f"节点 {node_id}"
+
+
+def workflow_warnings(workflow: dict[str, Any]) -> list[dict[str, str]]:
+    if not isinstance(workflow, dict):
+        return []
+    found: list[dict[str, str]] = []
+    nodes = {str(k): v for k, v in workflow.items() if isinstance(v, dict)}
+
+    untyped = [nid for nid, node in nodes.items() if not str(node.get("class_type") or "").strip()]
+    for nid in untyped:
+        found.append(
+            {
+                "level": "error",
+                "code": "missing_class_type",
+                "node_id": nid,
+                "message": f"{_title(nid, nodes[nid])}缺少节点类型（class_type），"
+                "导出时 ComfyUI 未加载该自定义节点",
+            }
+        )
+
+    consumed: set[str] = set()
+    for nid, node in nodes.items():
+        inputs = node.get("inputs") or {}
+        for name, val in inputs.items():
+            if isinstance(val, list) and len(val) == 2 and isinstance(val[0], (str, int)):
+                src = str(val[0])
+                consumed.add(src)
+                if src not in nodes:
+                    found.append(
+                        {
+                            "level": "error",
+                            "code": "dangling_link",
+                            "node_id": nid,
+                            "message": f"{_title(nid, node)}的输入「{name}」"
+                            f"连到了不存在的节点 {src}",
+                        }
+                    )
+        ct = str(node.get("class_type") or "")
+        if ct in _NEEDS_MODEL and not isinstance(inputs.get("model"), list):
+            found.append(
+                {
+                    "level": "error",
+                    "code": "missing_model_link",
+                    "node_id": nid,
+                    "message": f"{_title(nid, node)}（{ct}）没有连接模型（model），"
+                    "模型加载链路在导出时丢失",
+                }
+            )
+
+    for nid, node in nodes.items():
+        ct = str(node.get("class_type") or "")
+        if ct.startswith("Empty") and "Latent" in ct and nid not in consumed:
+            found.append(
+                {
+                    "level": "warning",
+                    "code": "orphan_latent",
+                    "node_id": nid,
+                    "message": f"{_title(nid, nodes[nid])}没有接到任何节点，"
+                    "它的宽高不会生效，已不在表单中显示",
+                }
+            )
+
+    # HEL-636/638: a workflow without any recognizable output node can never
+    # return a result — block it with a readable reason instead of letting
+    # ComfyUI run blind. Unknown candidates (needs_mapping) don't trigger
+    # this: the user designates them on the import/connections page, and
+    # until then the row stays disabled.
+    from calliope.comfyui.parser import detect_output_nodes
+
+    outputs = detect_output_nodes(workflow)
+    if not any(o.get("kind") in ("image", "video") for o in outputs):
+        unknown = [o for o in outputs if o.get("evidence") == "unknown_node"]
+        if not unknown:
+            found.append(
+                {
+                    "level": "error",
+                    "code": "no_output",
+                    "node_id": "",
+                    "message": "未在图中找到输出节点（SaveImage / 视频合成等），"
+                    "请确认导出的是 API 格式且包含保存节点",
+                }
+            )
+        else:
+            names = "、".join(f"节点 {o['nodeId']}" for o in unknown[:4])
+            found.append(
+                {
+                    "level": "warning",
+                    "code": "unknown_output_node",
+                    "node_id": names,
+                    "message": f"存在无法识别的输出节点（{names}），"
+                    "需人工指定实际输出节点及其媒体类型（图片/视频）后才能生成",
+                }
+            )
+    return found
+
+
+def blocking_problem(workflow: dict[str, Any]) -> str | None:
+    """One Chinese sentence explaining why this workflow cannot be submitted."""
+    errors = [w["message"] for w in workflow_warnings(workflow) if w["level"] == "error"]
+    if not errors:
+        return None
+    shown = "；".join(errors[:4]) + (f"；等 {len(errors)} 处" if len(errors) > 4 else "")
+    return f"该工作流文件不完整，ComfyUI 无法执行：{shown}。{REEXPORT_HINT}。"
@@ -0,0 +1,160 @@
+"""Suggested workflow metadata for imports (HEL-681 / S2 data layer).
+
+Everything here derives from two honest sources: the repo directory the file
+came from (category) and the converted API graph itself (usage, media in/out,
+model family, note text). Per HEL-675's inventory, clean display names and
+tags stay human work — the suggestion is a starting point, never a guess that
+hides uncertainty.
+"""
+
+from __future__ import annotations
+
+import re
+from typing import Any
+
+from calliope.comfyui.parser import (
+    classify_usage,
+    parse_dynamic_inputs,
+    parse_dynamic_outputs,
+)
+
+# Repo top-level directory → (category key, display label). Directory names
+# are mapping sources only — they never surface to users verbatim.
+CATEGORY_DIRS: dict[str, tuple[str, str]] = {
+    "0-基础处理：图像合并-音频分离-视频截取合并-图像视频放大": ("basic", "基础处理"),
+    "1-语音生成": ("audio_tts", "语音生成"),
+    "2-音乐生成": ("music", "音乐生成"),
+    "3-图像生成": ("image", "图像生成"),
+    "4-视频生成": ("video", "视频生成"),
+    "5-数字人": ("digital_human", "数字人"),
+    "6-动作迁移": ("motion_transfer", "动作迁移"),
+}
+
+# Evidence patterns → model family. Shared VAE/text-encoder files must NOT
+# count (HEL-675: Anima/Z-Image graphs reference qwen_image_vae and get
+# mislabeled Qwen — `qwen.?image(?!_vae)` is deliberate).
+_FAMILY_PATTERNS: tuple[tuple[str, str], ...] = (
+    (r"minimax[_\-]?(music|_audio)|MiniMaxMusic", "MiniMax-Music"),
+    (r"minimax.?h3|minimax_h3|h3[-_]realism|fl2v[aa]?", "MiniMax-H3"),
+    (r"ltx[-_.]?2", "LTX-2.5"),
+    (r"ltx", "LTX"),
+    (r"krea", "Krea2"),
+    (r"qwen.?image(?!_vae)|qwen_image_2|qwen2vl|qwen3vl|Qwen3?[-.]?ASR|qwen3?[-_.]?tts", "Qwen"),
+    (r"z[._-]?image", "Z-Image"),
+    (r"flux", "Flux"),
+    (r"\bwan", "Wan"),
+    (r"ace[_-]?step", "ACE-Step"),
+    (r"index[_-]?tts", "IndexTTS2"),
+    (r"anima[-_.]?(turbo|klein)", "Anima"),
+    (r"sdpose", "SDPose"),
+    (r"gemma", "Gemma"),
+    (r"instantmesh|instant_mesh", "InstantMesh"),
+    (r"hidream", "HiDream"),
+)
+_FAMILY_RE = [(re.compile(pat, re.IGNORECASE), fam) for pat, fam in _FAMILY_PATTERNS]
+
+# Main-model loaders dominate the vote: a UNET/checkpoint reference says far
+# more about the workflow's family than a shared VAE or text encoder does.
+_PRIMARY_LOADER_RE = re.compile(r"UNETLoader|CheckpointLoader|unet|diffusion_model", re.IGNORECASE)
+
+# Directory names that carry family evidence the files' own widget values
+# lack (HEL-675: 14 krea2 files reference no "krea" string at all).
+_FAMILY_DIRS = (
+    (re.compile(r"krea2", re.IGNORECASE), "Krea2"),
+    (re.compile(r"Minimax-h3|uncensored", re.IGNORECASE), "MiniMax-H3"),
+    (re.compile(r"Z-Image", re.IGNORECASE), "Z-Image"),
+    (re.compile(r"Qwen-Image", re.IGNORECASE), "Qwen"),
+    (re.compile(r"^Anima$", re.IGNORECASE), "Anima"),
+    (re.compile(r"Flux", re.IGNORECASE), "Flux"),
+)
+
+_NOTE_TYPES = frozenset({"Note", "MarkdownNote"})
+
+
+def category_from_source_path(source_path: str | None) -> tuple[str | None, str | None]:
+    """(category key, label) derived from the file's repo-relative path."""
+    if not source_path:
+        return None, None
+    head = source_path.replace("\\", "/").split("/", 1)[0]
+    return CATEGORY_DIRS.get(head, (None, None))
+
+
+def model_family_from(workflow: dict[str, Any], source_path: str | None = None) -> str | None:
+    """The graph's dominant model family: main-model loader references weigh
+    triple, other node evidence single, and the repo sub-directory adds a
+    strong vote for families the widget values don't spell out."""
+    votes: dict[str, int] = {}
+    for node in workflow.values():
+        if not isinstance(node, dict):
+            continue
+        class_type = str(node.get("class_type") or "")
+        blob = " ".join(
+            [class_type]
+            + [str(v) for v in (node.get("inputs") or {}).values() if isinstance(v, str)]
+        )
+        weight = 3 if _PRIMARY_LOADER_RE.search(blob) else 1
+        for pattern, family in _FAMILY_RE:
+            if pattern.search(blob):
+                votes[family] = votes.get(family, 0) + weight
+                break  # one vote per node: strongest family that node shows
+    if source_path:
+        parts = source_path.replace("\\", "/").split("/")
+        for part in parts[1:2]:
+            for pattern, family in _FAMILY_DIRS:
+                if pattern.search(part):
+                    votes[family] = votes.get(family, 0) + 2
+    if not votes:
+        return None
+    return max(votes.items(), key=lambda kv: kv[1])[0]
+
+
+def note_description(ui_workflow: dict[str, Any], limit: int = 160) -> str | None:
+    """First non-trivial author note as description material (never final copy)."""
+    for node in ui_workflow.get("nodes") or []:
+        if not isinstance(node, dict) or str(node.get("type")) not in _NOTE_TYPES:
+            continue
+        values = node.get("widgets_values")
+        text = values[0] if isinstance(values, list) and values else None
+        if isinstance(values, dict):
+            text = values.get("text") or next(iter(values.values()), None)
+        if isinstance(text, str):
+            text = text.strip()
+            if len(text) >= 8:
+                return text[:limit].strip()
+    return None
+
+
+def suggested_metadata(
+    converted: dict[str, Any],
+    source_path: str | None = None,
+    ui_workflow: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    """The import suggestion bundle for one converted workflow."""
+    judgment = classify_usage(converted)
+    media_kinds = ("image", "image_list", "video", "video_list", "audio", "audio_list")
+    media_in = sorted(
+        {
+            entry["kind"].replace("_list", "")
+            for entry in parse_dynamic_inputs(converted)
+            if entry.get("kind") in media_kinds
+        }
+    )
+    media_out = sorted(
+        {
+            str(entry.get("kind"))
+            for entry in parse_dynamic_outputs(converted)
+            if entry.get("kind") in ("image", "video", "audio")
+        }
+    )
+    category, category_label = category_from_source_path(source_path)
+    return {
+        "kind": "video" if "video" in media_out and "image" not in media_out else "image",
+        "usage": judgment["usage"],
+        "usage_ambiguous": judgment["ambiguous"],
+        "category": category,
+        "category_label": category_label,
+        "model_family": model_family_from(converted, source_path),
+        "media_in": media_in,
+        "media_out": media_out,
+        "description": note_description(ui_workflow or {}),
+    }
@@ -0,0 +1,148 @@
+"""Stored output-node mapping for imported workflows (HEL-638).
+
+Unknown custom output nodes are never auto-typed. The import confirm page
+(or the connections table) stores the user's explicit designation — which
+node ids are the real outputs and each one's media type — in
+``workflows.output_map`` with ``output_map_source='user'``. Everything that
+re-derives schemas (reanalyze, migration, plain field edits) must keep that
+decision; only a fresh explicit payload replaces it.
+
+Rows without unknown candidates carry an ``auto`` map derived from the
+trusted registry/tagged outputs so the generation path always knows which
+history nodes to harvest.
+"""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+
+from calliope.comfyui.parser import parse_dynamic_outputs
+from calliope.comfyui.registry import (
+    IMAGE_OUTPUT_CLASSES,
+    NUMBER_CLASSES,
+    TEXT_AREA_CLASSES,
+    VIDEO_OUTPUT_CLASSES,
+)
+
+VALID_OUTPUT_KINDS = ("image", "video")
+
+
+def _wiring_class(class_type: str) -> bool:
+    """Parameter / wiring classes can never be designated as outputs."""
+    return (
+        not class_type
+        or class_type in TEXT_AREA_CLASSES
+        or class_type in NUMBER_CLASSES
+        or class_type.startswith("Empty")
+        or class_type.startswith("Primitive")
+    )
+
+
+def _entry_public(entry: dict[str, Any]) -> dict[str, Any]:
+    out = {
+        "nodeId": str(entry.get("nodeId") or ""),
+        "kind": entry.get("kind"),
+    }
+    if entry.get("label"):
+        out["label"] = entry["label"]
+    if entry.get("class_type"):
+        out["class_type"] = entry["class_type"]
+    return out
+
+
+def auto_output_map(workflow: dict[str, Any]) -> list[dict[str, Any]]:
+    """Trusted outputs only (tagged titles / registry classes)."""
+    if not isinstance(workflow, dict):
+        return []
+    return [
+        _entry_public(o)
+        for o in parse_dynamic_outputs(workflow)
+        if o.get("kind") in VALID_OUTPUT_KINDS
+    ]
+
+
+def needs_user_output_map(workflow: dict[str, Any]) -> bool:
+    """True when the graph has unknown output candidates (HEL-638)."""
+    if not isinstance(workflow, dict):
+        return False
+    return any(
+        o.get("evidence") == "unknown_node" for o in parse_dynamic_outputs(workflow)
+    )
+
+
+def validate_output_map(
+    workflow: dict[str, Any], entries: Any
+) -> list[str]:
+    """Chinese problems with a user-supplied output map; empty = valid."""
+    if not isinstance(entries, list) or not entries:
+        return ["输出节点映射不能为空：请至少指定一个输出节点及其媒体类型"]
+    seen: set[str] = set()
+    problems: list[str] = []
+    for entry in entries:
+        if not isinstance(entry, dict):
+            problems.append("输出节点映射格式有误（应为对象数组）")
+            continue
+        nid = str(entry.get("nodeId") or "")
+        node = workflow.get(nid) if isinstance(workflow, dict) else None
+        if not nid or not isinstance(node, dict):
+            problems.append(f"输出节点 {nid or '?'} 不存在于该工作流中")
+            continue
+        ct = str(node.get("class_type") or "").strip()
+        if not ct:
+            problems.append(f"节点 {nid} 缺少节点类型，不能作为输出节点")
+        elif _wiring_class(ct) and ct not in (IMAGE_OUTPUT_CLASSES | VIDEO_OUTPUT_CLASSES):
+            problems.append(f"节点 {nid}（{ct}）是参数/连线节点，不能作为输出节点")
+        if entry.get("kind") not in VALID_OUTPUT_KINDS:
+            problems.append(f"输出节点 {nid} 的媒体类型必须是图片或视频")
+        if nid in seen:
+            problems.append(f"输出节点 {nid} 重复指定")
+        seen.add(nid)
+    return problems
+
+
+def load_output_map(raw: str | None) -> list[dict[str, Any]]:
+    if not raw:
+        return []
+    try:
+        data = json.loads(raw)
+    except (json.JSONDecodeError, TypeError):
+        return []
+    return data if isinstance(data, list) else []
+
+
+def resolve_output_map(
+    output_map_raw: str | None, source: str | None, workflow: dict[str, Any]
+) -> tuple[list[dict[str, Any]], str | None]:
+    """The map generation harvests, plus whose decision it is.
+
+    A user map wins as long as its node ids still exist in the stored JSON
+    (defensive pruning — PATCH cannot edit the JSON, but keep it safe);
+    otherwise the trusted auto map applies. Empty list back means "not
+    confirmed yet".
+    """
+    if source == "user":
+        entries = [
+            e for e in load_output_map(output_map_raw) if str(e.get("nodeId") or "") in
+            (workflow if isinstance(workflow, dict) else {})
+        ]
+        if entries:
+            return entries, "user"
+        return [], None
+    auto = auto_output_map(workflow)
+    return (auto, "auto") if auto else ([], None)
+
+
+def mapping_problem(
+    workflow: dict[str, Any], output_map_raw: str | None, source: str | None
+) -> str | None:
+    """Chinese reason this workflow's outputs are not confirmed, else None."""
+    if not needs_user_output_map(workflow):
+        return None
+    entries, resolved = resolve_output_map(output_map_raw, source, workflow)
+    if resolved == "user" and entries:
+        return None
+    return (
+        "该工作流含无法识别的自定义输出节点，需在「ComfyUI 连接」页指定"
+        "实际输出节点及其媒体类型（图片/视频）后才能启用或生成"
+    )
@@ -1,10 +1,48 @@
 """Patch user values into ComfyUI API-format workflow by nodeId."""
+
 from __future__ import annotations

 import copy
 from typing import Any

-from calliope.comfyui.registry import class_to_patch_field
+from calliope.comfyui.registry import (
+    AUDIO_CLASSES,
+    IMAGE_CLASSES,
+    VIDEO_CLASSES,
+    VIDEO_FILE_CLASSES,
+    class_to_patch_field,
+    optional_frame_sibling,
+)
+
+# Input keys of the form "<nodeId>@<widget>" target one named widget on a
+# node (auto-detected inputs: KSampler seed/steps/cfg, latent width/height…).
+FIELD_KEY_SEP = "@"
+
+# Media-loader families and the Chinese slot label used on cloned nodes.
+_GROUP_LABELS: tuple[tuple[frozenset[str], str], ...] = (
+    (IMAGE_CLASSES, "参考图"),
+    (VIDEO_CLASSES, "参考视频"),
+    (AUDIO_CLASSES, "参考音频"),
+)
+
+
+def _loader_label(class_type: str) -> str:
+    for classes, label in _GROUP_LABELS:
+        if class_type in classes:
+            return label
+    return "参考素材"
+
+
+def _loader_field(class_type: str, inputs: dict[str, Any]) -> str:
+    """The widget a loader node of this class stores its file value in."""
+    if class_type in IMAGE_CLASSES:
+        return "image"
+    if class_type in VIDEO_CLASSES:
+        return "file" if class_type in VIDEO_FILE_CLASSES else "video"
+    if class_type in AUDIO_CLASSES:
+        # VHS_LoadAudio names its widget "audio:" (with the colon).
+        return "audio" if "audio" in inputs else "audio:"
+    return "image"


 def _resolve_field(field: str, inputs: dict[str, Any]) -> str:
@@ -26,6 +64,105 @@ def _resolve_field(field: str, inputs: dict[str, Any]) -> str:
    return field


+def resolve_patch_field(node: dict[str, Any]) -> str:
+    """The widget a plain nodeId key writes to on this node."""
+    return _resolve_field(
+        class_to_patch_field(node.get("class_type", "")), dict(node.get("inputs") or {})
+    )
+
+
+def _next_node_id(workflow: dict[str, Any]) -> str:
+    numeric = [int(k) for k in workflow if str(k).isdigit()]
+    return str(max(numeric, default=0) + 1)
+
+
+def apply_media_group(
+    workflow: dict[str, Any], node_id: str, group: str, paths: list[str]
+) -> None:
+    """Rewire an Autogrow media group (image/video/audio) to exactly ``paths``.
+
+    ``<group>.<prefix>0 … N-1`` each get their own loader node: the
+    workflow's existing ones are reused in slot order, extra ones are clones
+    of the first, and slots/loaders left over from the export are removed so
+    no stale media reaches ComfyUI. File values are local paths —
+    ``prepare_media_inputs`` uploads them right before queueing.
+    """
+    from calliope.comfyui.parser import image_group_prefix, image_group_slots
+
+    node = workflow.get(node_id)
+    if not isinstance(node, dict):
+        return
+    prefix = image_group_prefix(node, group)
+    if prefix is None:
+        return
+    inputs = dict(node.get("inputs") or {})
+    slots = image_group_slots(node, group, prefix)
+    loaders: list[str] = []
+    for _n, name, link in slots:
+        inputs.pop(name, None)
+        if isinstance(link, list) and len(link) == 2:
+            src = workflow.get(str(link[0]))
+            if isinstance(src, dict) and str(src.get("class_type") or "") in (
+                IMAGE_CLASSES | VIDEO_CLASSES | AUDIO_CLASSES
+            ):
+                loaders.append(str(link[0]))
+    if not loaders:
+        return
+    template = copy.deepcopy(workflow[loaders[0]])
+    label = _loader_label(str(template.get("class_type") or ""))
+
+    still_used: set[str] = set()
+    for nid, other in workflow.items():
+        if nid == node_id or not isinstance(other, dict):
+            continue
+        for val in (other.get("inputs") or {}).values():
+            if isinstance(val, list) and len(val) == 2:
+                still_used.add(str(val[0]))
+    for nid in loaders[len(paths):]:
+        if nid not in still_used and nid not in loaders[: len(paths)]:
+            workflow.pop(nid, None)
+
+    for i, path in enumerate(paths):
+        if i < len(loaders):
+            nid = loaders[i]
+            loader = workflow[nid]
+        else:
+            nid = _next_node_id(workflow)
+            loader = copy.deepcopy(template)
+        loader_inputs = dict(loader.get("inputs") or {})
+        field = _loader_field(str(loader.get("class_type") or ""), loader_inputs)
+        loader_inputs[field] = path
+        loader["inputs"] = loader_inputs
+        loader["_meta"] = {**(loader.get("_meta") or {}), "title": f"{label} {i + 1}"}
+        workflow[nid] = loader
+        inputs[f"{group}.{prefix}{i}"] = [nid, 0]
+    node["inputs"] = inputs
+
+
+# Original name kept: image groups were the first (and most common) family.
+apply_image_group = apply_media_group
+
+
+def apply_optional_frame(
+    workflow: dict[str, Any], node_id: str, field: str, sibling: str, path: str
+) -> None:
+    """Wire ``path`` into an unwired optional frame input (H3 ``last_frame``)
+    through a new LoadImage cloned from the ``sibling`` frame's loader."""
+    node = workflow[node_id]
+    inputs = dict(node.get("inputs") or {})
+    src = workflow.get(str(inputs[sibling][0]))
+    if isinstance(src, dict) and str(src.get("class_type") or "") in IMAGE_CLASSES:
+        loader = copy.deepcopy(src)
+    else:
+        loader = {"class_type": "LoadImage", "inputs": {}}
+    loader["inputs"] = {**(loader.get("inputs") or {}), "image": path}
+    loader["_meta"] = {"title": "尾帧" if field == "last_frame" else field}
+    nid = _next_node_id(workflow)
+    workflow[nid] = loader
+    inputs[field] = [nid, 0]
+    node["inputs"] = inputs
+
+
 def patch_workflow(
    base: dict[str, Any],
    values_by_node_id: dict[str, Any],
@@ -35,11 +172,31 @@ def patch_workflow(
        if value is None:
            continue
        key = str(node_id)
+        field: str | None = None
+        if key not in patched and FIELD_KEY_SEP in key:
+            key, field = key.rsplit(FIELD_KEY_SEP, 1)
        node = patched.get(key)
        if not isinstance(node, dict):
            continue
        inputs = dict(node.get("inputs") or {})
-        field = _resolve_field(class_to_patch_field(node.get("class_type", "")), inputs)
+        if field is not None and field not in inputs and any(
+            k.startswith(f"{field}.") for k in inputs
+        ):
+            paths = [value] if isinstance(value, str) else value
+            if isinstance(paths, list):
+                clean = [p for p in paths if isinstance(p, str) and p.strip()]
+                if clean:
+                    apply_media_group(patched, key, field, clean)
+            continue
+        if field is not None and (sibling := optional_frame_sibling(node, field)):
+            if isinstance(value, str) and value.strip():
+                apply_optional_frame(patched, key, field, sibling, value)
+            continue
+        if field is None:
+            field = resolve_patch_field(node)
+        elif isinstance(inputs.get(field), list):
+            # Linked input ([src_id, slot]) — never overwrite the wiring.
+            continue
        inputs[field] = value
        node["inputs"] = inputs
        patched[key] = node
@@ -0,0 +1,137 @@
+"""L2 connection preflight: check a workflow against a live /object_info (HEL-642/643).
+
+Layer 1 (lint.py) judges the JSON on its own; this module judges the JSON
+against what the target ComfyUI actually has installed. Two generic rules,
+zero hard-coding for any specific workflow or model name:
+
+1. Node existence — every ``class_type`` in the JSON must exist as a key of
+   the server's /object_info catalogue; missing ones are custom nodes the
+   user has not installed.
+2. Combo value legality — for every combo input the server declares (an
+   input whose spec carries a candidate list — unet_name/clip_name/
+   sampler/scheduler/…), the JSON's current widget value must be one of the
+   candidates; a miss usually means a model file or component is missing.
+
+File-upload widgets (LoadImage.image and friends) are skipped: their combo
+lists are the server's input directory at export time and the value is
+replaced by an upload before every submit, so a miss there says nothing.
+"""
+from __future__ import annotations
+
+from typing import Any
+
+from calliope.comfyui.registry import AUDIO_CLASSES, IMAGE_CLASSES, VIDEO_CLASSES
+
+# Media-loader classes and the widget names that hold their file values —
+# upload-backed combos that cannot be judged before an upload happens.
+_MEDIA_LOADER_FIELDS: tuple[frozenset[str], frozenset[str]] = (
+    (IMAGE_CLASSES, frozenset({"image"})),
+    (AUDIO_CLASSES, frozenset({"audio", "audio:"})),
+    (VIDEO_CLASSES, frozenset({"file", "video"})),
+)
+
+# object_info widget-config keys that mark an input as file-upload backed.
+_UPLOAD_CONFIG_KEYS = ("image_upload", "audio_upload", "video_upload", "upload")
+
+_MAX_CANDIDATES_SHOWN = 6
+
+
+def _node_title(node: dict[str, Any]) -> str:
+    title = (node.get("_meta") or {}).get("title")
+    return str(title).strip() if title else ""
+
+
+def _is_upload_backed(class_type: str, input_name: str, config: Any) -> bool:
+    if isinstance(config, dict) and any(config.get(k) for k in _UPLOAD_CONFIG_KEYS):
+        return True
+    for classes, fields in _MEDIA_LOADER_FIELDS:
+        if class_type in classes and input_name in fields:
+            return True
+    return False
+
+
+def _combo_candidates(spec: Any) -> list[str] | None:
+    """The candidate list when ``spec`` is a combo input, else None.
+
+    A combo spec is ``[["a", "b"], {config}]`` — first element a list of
+    plain strings. Typed inputs (``["FLOAT", {…}]``) return None.
+    """
+    if not (isinstance(spec, list) and len(spec) >= 1):
+        return None
+    values = spec[0]
+    if not isinstance(values, list) or not values:
+        return None
+    if not all(isinstance(v, str) for v in values):
+        return None
+    return values
+
+
+def check_workflow_against(
+    object_info: dict[str, Any], workflow: dict[str, Any]
+) -> list[dict[str, Any]]:
+    """Findings for every problem the target server's catalogue reveals.
+
+    Each finding is ``{level, code, node_id, node_title, message, hint}``
+    (``level`` is always ``"error"`` for now — both rules are hard misses).
+    """
+    findings: list[dict[str, Any]] = []
+    if not isinstance(object_info, dict) or not isinstance(workflow, dict):
+        return findings
+    for node_id, node in workflow.items():
+        if not isinstance(node, dict):
+            continue
+        class_type = str(node.get("class_type") or "")
+        title = _node_title(node)
+        label = f"节点 {node_id}「{title}」" if title else f"节点 {node_id}"
+        spec = object_info.get(class_type)
+        if not isinstance(spec, dict):
+            findings.append(
+                {
+                    "level": "error",
+                    "code": "missing_node",
+                    "node_id": str(node_id),
+                    "node_title": title,
+                    "message": (
+                        f"缺少自定义节点 {class_type or '(未知类名)'}（{label}）——"
+                        "该 ComfyUI 未安装此节点，需先安装对应的节点包"
+                    ),
+                    "hint": "安装节点包后回到本页点「重新检查」即可复查，无需重新导入。",
+                }
+            )
+            continue
+        declared = (spec.get("input") or {}) if isinstance(spec.get("input"), dict) else {}
+        inputs = node.get("inputs") or {}
+        for section in ("required", "optional"):
+            entries = declared.get(section)
+            if not isinstance(entries, dict):
+                continue
+            for input_name, in_spec in entries.items():
+                value = inputs.get(input_name)
+                # Wired inputs (links) and absent widgets are not combos to judge.
+                if isinstance(value, (list, dict)) or value is None:
+                    continue
+                config = in_spec[1] if isinstance(in_spec, list) and len(in_spec) > 1 else None
+                if _is_upload_backed(class_type, str(input_name), config):
+                    continue
+                candidates = _combo_candidates(in_spec)
+                if candidates is None:
+                    continue
+                if value in candidates:
+                    continue
+                shown = "、".join(candidates[:_MAX_CANDIDATES_SHOWN])
+                if len(candidates) > _MAX_CANDIDATES_SHOWN:
+                    shown += f" 等 {len(candidates)} 项"
+                findings.append(
+                    {
+                        "level": "error",
+                        "code": "value_not_in_list",
+                        "node_id": str(node_id),
+                        "node_title": title,
+                        "message": (
+                            f"{label}：值「{value}」不在 ComfyUI 的可选列表"
+                            f"（参数 {input_name}）——多为对应的模型文件或组件未安装"
+                        ),
+                        "hint": f"该 ComfyUI 上可选：{shown}" if shown else None,
+                    }
+                )
+    return findings
@@ -1,7 +1,7 @@
 """Unified class_type → kind + patch-field registry (MuseAgent port)."""
 from __future__ import annotations

-from typing import Literal
+from typing import Any, Literal

 ComfyInputKind = Literal["text", "textarea", "number", "image", "image_url", "audio", "video"]
 ComfyOutputKind = Literal["image", "video", "other"]
@@ -20,7 +20,7 @@ TEXT_AREA_CLASSES = frozenset(
 NUMBER_CLASSES = frozenset(
    {"INT", "FLOAT", "PrimitiveInt", "PrimitiveFloat", "KSampler", "KSamplerAdvanced"}
 )
-IMAGE_CLASSES = frozenset({"LoadImage", "ImageLoader", "ETN_LoadImageBase64"})
+IMAGE_CLASSES = frozenset({"LoadImage", "LoadImageMask", "ImageLoader", "ETN_LoadImageBase64"})
 IMAGE_URL_CLASSES = frozenset({"Load Image From Url (mtb)"})
 AUDIO_CLASSES = frozenset({"LoadAudio", "VHS_LoadAudio"})
 # Stock LoadVideo uses the `file` widget; VHS uses `video`.
@@ -30,8 +30,27 @@ VIDEO_OUTPUT_CLASSES = frozenset(
    {"VHS_VideoCombine", "SaveVideo", "VideoOutput", "AnimateDiffCombine"}
 )
 IMAGE_OUTPUT_CLASSES = frozenset(
-    {"SaveImage", "PreviewImage", "SaveImageWebsocket", "ETN_SendImageWebSocket"}
+    {"SaveImage", "PreviewImage", "SaveImageWebsocket", "ETN_SendImageWebSocket",
+     "SaveImageAdvanced"}
 )
+# Frame-conditioned video nodes and the optional frame input an export may
+# leave unwired. MiniMax H3's FL2VA node takes `first_frame` plus an
+# optional `last_frame`; the studio offers the slot and the patcher adds
+# the LoadImage only when the user supplies that frame.
+OPTIONAL_FRAME_INPUTS: dict[str, dict[str, str]] = {
+    "MiniMaxH3ImageToVideo": {"last_frame": "first_frame"},
+}
+
+
+def optional_frame_sibling(node: dict[str, Any], field: str) -> str | None:
+    """The wired frame input an unwired optional ``field`` mirrors
+    (``last_frame`` → ``first_frame``); None when it does not apply."""
+    inputs = node.get("inputs") or {}
+    sibling = OPTIONAL_FRAME_INPUTS.get(str(node.get("class_type") or ""), {}).get(field)
+    if sibling is None or field in inputs:
+        return None
+    link = inputs.get(sibling)
+    return sibling if isinstance(link, list) and len(link) == 2 else None


 def class_to_input_kind(class_type: str) -> ComfyInputKind:
@@ -30,6 +30,27 @@ OUTPUT_ROLE_ALIASES: dict[str, frozenset[str]] = {
    "video": frozenset({"video", "vid"}),
 }

+# The five workflow usages the studio distinguishes (HEL-636). Derived from
+# graph evidence only (output media + consumed image inputs) — never from
+# file names, model names or fixed node ids.
+WorkflowUsage = str
+USAGE_VALUES: tuple[str, ...] = (
+    "text2image",
+    "image2image",
+    "text2video",
+    "image2video",
+    "ref2video",
+)
+
+
+def usage_to_kind(usage: str | None) -> str | None:
+    """Output media kind of a usage (image / video); None when unknown."""
+    if usage in ("text2image", "image2image"):
+        return "image"
+    if usage in ("text2video", "image2video", "ref2video"):
+        return "video"
+    return None
+

 def parse_title_tag(title: str) -> tuple[str | None, str | None, str]:
    """Return (kind, role, label) from a Comfy node title.
@@ -13,6 +13,13 @@ def _find_by_role(inputs: list[dict[str, Any]], *roles: str) -> dict[str, Any] |
    return None


+def _node_sort_key(node_id: object) -> tuple:
+    """Numeric order for "12", subgraph "171:154" and field keys "3@seed"."""
+    return tuple(
+        (0, int(p)) if p.isdigit() else (1, p) for p in str(node_id).replace("@", ":").split(":")
+    )
+
+
 def _find_all_by_role(inputs: list[dict[str, Any]], *roles: str) -> list[dict[str, Any]]:
    """All inputs matching any of the roles, sorted by numeric node id.

@@ -21,7 +28,7 @@ def _find_all_by_role(inputs: list[dict[str, Any]], *roles: str) -> list[dict[st
    in this order and it defines ``<Subject N>`` numbering in the prompt.
    """
    matches = [inp for inp in inputs if input_has_role(inp, *roles)]
-    return sorted(matches, key=lambda i: int(i["nodeId"]))
+    return sorted(matches, key=lambda i: _node_sort_key(i["nodeId"]))


 def ref_image_slots(inputs: list[dict[str, Any]]) -> list[dict[str, Any]]:
@@ -151,8 +158,12 @@ def smart_fill_inputs(
                        break

    if ref_images:
-        for inp, path in zip(ref_image_slots(inputs), ref_images):
-            values[str(inp["nodeId"])] = path
+        group = next((inp for inp in inputs if inp.get("kind") == "image_list"), None)
+        if group is not None:
+            values[str(group["nodeId"])] = list(ref_images[: group.get("max") or len(ref_images)])
+        else:
+            for inp, path in zip(ref_image_slots(inputs), ref_images):
+                values[str(inp["nodeId"])] = path

    if ref_videos:
        for inp, path in zip(ref_video_slots(inputs), ref_videos):
@@ -0,0 +1,801 @@
+"""UI→API converter for ComfyUI workflow JSON (HEL-681 / S2 data layer).
+
+ComfyUI saves two formats: the editor ("UI") format with ``nodes``/``links``
+arrays, and the API ("prompt") format ``{node_id: {class_type, inputs}}`` the
+product executes. This module converts UI→API offline and deterministically:
+
+* links are rewritten through ``Reroute`` chains and bypassed (mode 4) nodes;
+* packed subgraph instances (frontend ≥1.x ``definitions.subgraphs``) expand
+  into their inner nodes under qualified ids ``<packed>:<inner>`` — the same
+  scheme ComfyUI itself exports;
+* widget values map through, in priority order: the node's serialized input
+  list (entries carrying a ``widget`` marker — authoritative, this corpus's
+  frontend version always writes them), the ``widgets_values_named`` dict,
+  then a generated registry of widget orders learned from the corpus and the
+  repo's ground-truth API exports (``ui_widget_orders``).
+
+Anything that cannot be mapped with certainty is reported as an issue and the
+file is flagged ``needs_confirmation`` — never silently guessed: a wrong
+widget order produces a runnable-looking workflow with swapped seed/steps,
+which is worse than an honest「需人工确认」.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any
+
+from calliope.comfyui.ui_widget_orders import WIDGET_ORDERS
+
+# Values of the frontend-only "control_after_generate" control that serializes
+# right after every seed-like INT widget (and is not a real server input).
+_CONTROL_MODES = frozenset({"fixed", "increment", "decrement", "randomize"})
+
+# Widget names that are pure UI buttons/previews — never serialized in
+# widgets_values (named dicts skip them too) and never API inputs.
+_BUTTON_WIDGETS = frozenset(
+    {"preview", "audioUI", "compare_view", "ToggleableColorPicker", "imagebrowser"}
+)
+
+# Leftover positional values that are provably action buttons, not data:
+# known labels, self-describing ids, or emoji-prefixed actions. Anything
+# else left over keeps the file in the needs-confirmation queue.
+_BUTTON_LEFTOVER_LABELS = frozenset({"Edit", "lanpaint_star_button"})
+_BUTTON_LEFTOVER_EMOJI = ("🖼", "🎬", "🎵", "➕", "🔁", "🗑", "📂", "🔎", "✨")
+
+
+def _is_button_leftover(value: Any) -> bool:
+    if value is None or value == "":
+        return True
+    if isinstance(value, str):
+        return (
+            value in _BUTTON_LEFTOVER_LABELS
+            or "button" in value.lower()
+            or value.startswith(_BUTTON_LEFTOVER_EMOJI)
+        )
+    return False
+
+# Virtual editor-only nodes. Links pass *through* reroute-style ones (see
+# _resolve_source); the rest are dropped from the graph entirely.
+_REROUTE_TYPES = frozenset({"Reroute", "Reroute (rgthree)"})
+# Frontend-virtual variable nodes: SetNode captures a value under a name,
+# GetNode reads it. Neither reaches the server — links through a Get resolve
+# to whatever its same-named Set captured (scope-local).
+_SET_TYPES = frozenset({"SetNode"})
+_GET_TYPES = frozenset({"GetNode"})
+_UI_ONLY_TYPES = frozenset(
+    {
+        "Note",
+        "MarkdownNote",
+        "Image Comparer (rgthree)",
+        "GH_ImageVideoComparer",
+        "Label (rgthree)",
+        "Fast Groups Bypasser (rgthree)",
+        "Fast Groups Muter (rgthree)",
+        "Fast Muter (rgthree)",
+        "FastGroupsBypassSwitch",
+        "Mute / Bypass Repeater (rgthree)",
+    }
+)
+
+# Server-side OUTPUT nodes: the closure roots. Learned from the repo's
+# ground-truth API exports (their unreferenced classes) + the corpus's
+# real save/preview sinks (SaveVideo/SaveImageAdvanced/… custom nodes).
+_OUTPUT_CLASSES = frozenset(
+    {
+        "SaveImage",
+        "PreviewImage",
+        "SaveImageAdvanced",
+        "SaveImageKJ",
+        "SaveAnimatedWEBP",
+        "SaveAnimatedPNG",
+        "SaveAnimatedGIF",
+        "SaveVideo",
+        "SaveAudio",
+        "SaveAudioMP3",
+        "SaveAudioAdvanced",
+        "PreviewAudio",
+        "MaskPreview",
+        "MaskPreview+",
+        "ImageAndMaskPreview",
+        "VHS_VideoCombine",
+        "easy saveVideo",
+        "easy multitrackProjectVideoCombine",
+        "easy multiTrackInfoOutput",
+        "easy multiTrackTaskOutput",
+        "easy compareVideos",
+        "easy compareImages",
+        "easy showText",
+        "easy imageWall",
+        "CR Prompt Text",
+        "PreviewAny",
+        "easy clearGpuUsed",
+        "easy clearCacheAll",
+        "easy showSpentTime",
+    }
+)
+
+MODE_ACTIVE = 0
+MODE_MUTED = 2
+MODE_BYPASSED = 4
+
+_SUBGRAPH_IN = -10  # pseudo-node id of a subgraph's boundary input
+_SUBGRAPH_OUT = -20  # pseudo-node id of a subgraph's boundary output
+
+
+@dataclass
+class ConvertIssue:
+    node_id: str
+    code: str
+    message: str
+    level: str = "warning"  # 'error' | 'warning'
+
+
+@dataclass
+class ConvertResult:
+    workflow: dict[str, Any] | None
+    status: str  # 'ok' | 'warn' | 'fail'
+    issues: list[ConvertIssue] = field(default_factory=list)
+
+    @property
+    def needs_confirmation(self) -> bool:
+        """Widget mapping uncertain — must not be imported as runnable."""
+        return any(
+            i.code in ("widget_unmapped", "widget_order_mismatch") for i in self.issues
+        )
+
+
+def _norm_link(link: Any) -> tuple[int, int, int, int, int, str] | None:
+    """(id, origin_id, origin_slot, target_id, target_slot, type) from either form."""
+    if isinstance(link, dict):
+        try:
+            return (
+                int(link["id"]),
+                int(link["origin_id"]),
+                int(link["origin_slot"]),
+                int(link["target_id"]),
+                int(link["target_slot"]),
+                str(link.get("type") or "*"),
+            )
+        except (KeyError, TypeError, ValueError):
+            return None
+    if isinstance(link, (list, tuple)) and len(link) >= 5:
+        try:
+            return (
+                int(link[0]),
+                int(link[1]),
+                int(link[2]),
+                int(link[3]),
+                int(link[4]),
+                str(link[5]) if len(link) > 5 and link[5] else "*",
+            )
+        except (TypeError, ValueError):
+            return None
+    return None
+
+
+def _is_seed_like(name: str) -> bool:
+    lowered = name.lower()
+    return lowered in ("seed", "noise_seed", "value", "rand_seed", "random_seed") or (
+        lowered.endswith("seed")
+    )
+
+
+def _is_upload_entry(name: str, type_: str) -> bool:
+    return type_.upper().endswith("UPLOAD") or name == "upload" or "UPLOAD" in type_.upper()
+
+
+class _Converter:
+    """One conversion run over a single UI-format document."""
+
+    def __init__(self, ui: dict[str, Any]) -> None:
+        self.ui = ui
+        self.issues: list[ConvertIssue] = []
+        self.subgraphs: dict[str, dict[str, Any]] = {
+            str(s.get("id")): s
+            for s in self.ui.get("definitions", {}).get("subgraphs", []) or []
+            if isinstance(s, dict)
+        }
+        # qualified id → UI node + owning scope
+        self.nodes: dict[str, dict[str, Any]] = {}
+        # scope key ('' for top level) → link table / node-id index / owner
+        self.scope_links: dict[str, dict[int, tuple[int, int, int, int, str]]] = {}
+        self.scope_ids: dict[str, dict[str, str]] = {}
+        self.scope_owner: dict[str, str] = {}
+        self._set_capture_cache: dict[str, dict[str, tuple[str, int]]] = {}
+        self._set_names: dict[str, set[str]] = {}
+        self._depth = 0
+        self._cycle_warned = False
+        self._set_building: set[str] = set()
+
+    # -------------------------------------------------------------- indexing
+    def _index_scope(self, scope: str, links: list[Any], owner: str | None) -> None:
+        table = self.scope_links.setdefault(scope, {})
+        for link in links or []:
+            norm = _norm_link(link)
+            if norm is not None:
+                table[norm[0]] = norm[1:]
+        self.scope_ids.setdefault(scope, {})
+        if owner is not None:
+            self.scope_owner[scope] = owner
+
+    def _flatten(
+        self, node: dict[str, Any], scope: str, prefix: str
+    ) -> None:
+        qualified = f"{prefix}{node.get('id')}"
+        self.nodes[qualified] = {"node": node, "scope": scope}
+        self.scope_ids.setdefault(scope, {})[str(node.get("id"))] = qualified
+        sub = self.subgraphs.get(str(node.get("type") or ""))
+        if sub is None:
+            return
+        if not isinstance(sub.get("nodes"), list):
+            self.issues.append(
+                ConvertIssue(qualified, "subgraph_bad_definition", "子图缺少内部节点定义")
+            )
+            return
+        sub_scope = f"{scope}|{node.get('type')}" if scope else f"{node.get('type')}"
+        if sub_scope not in self.scope_links:
+            self._index_scope(sub_scope, sub.get("links") or [], qualified)
+        for inner in sub["nodes"]:
+            if isinstance(inner, dict):
+                self._flatten(inner, sub_scope, f"{qualified}:")
+
+    # --------------------------------------------------------------- lookups
+    def _node(self, qualified: str) -> dict[str, Any] | None:
+        entry = self.nodes.get(qualified)
+        return entry["node"] if entry else None
+
+    def _scope(self, qualified: str) -> str:
+        entry = self.nodes.get(qualified)
+        return entry["scope"] if entry else ""
+
+    def _link(self, scope: str, link_id: Any) -> tuple[int, int, int, int, str] | None:
+        if link_id is None:
+            return None
+        try:
+            key = int(link_id)
+        except (TypeError, ValueError):
+            return None
+        return self.scope_links.get(scope, {}).get(key)
+
+    def _boundary_source(self, scope: str, link_id: Any) -> tuple[str, int] | None:
+        """(packed qualified id, boundary slot) when this link leaves a
+        subgraph through its -10 input boundary."""
+        link = self._link(scope, link_id)
+        if link is None or link[0] != _SUBGRAPH_IN:
+            return None
+        packed_q = self.scope_owner.get(scope)
+        if packed_q is None:
+            return None
+        return packed_q, link[1]
+
+    def _subgraph_of(self, qualified: str) -> dict[str, Any] | None:
+        node = self._node(qualified)
+        if node is None:
+            return None
+        return self.subgraphs.get(str(node.get("type") or ""))
+
+    @staticmethod
+    def _virtual_name(node: dict[str, Any]) -> str:
+        """A Set/Get node's captured variable name (its first widget value)."""
+        named = node.get("widgets_values_named")
+        if isinstance(named, dict):
+            for key in ("const_name", "name", "value"):
+                if key in named:
+                    return str(named[key])
+        values = node.get("widgets_values")
+        if isinstance(values, list) and values and isinstance(values[0], str):
+            return values[0]
+        return ""
+
+    def _set_captures(self, scope: str) -> dict[str, tuple[str, int]]:
+        """{variable name → resolved source} for the Set nodes in one scope."""
+        table = self._set_capture_cache.get(scope)
+        if table is not None:
+            return table
+        table = {}
+        # Seed before resolving: a Set feeding a same-named Get (FOR-loop
+        # graphs) would otherwise recurse into this builder forever. A miss
+        # while building is not a missing Set — never warn mid-construction.
+        self._set_capture_cache[scope] = table
+        self._set_building.add(scope)
+        try:
+            return self._build_set_captures(scope, table)
+        finally:
+            self._set_building.discard(scope)
+
+    def _build_set_captures(
+        self, scope: str, table: dict[str, tuple[str, int]]
+    ) -> dict[str, tuple[str, int]]:
+        names: set[str] = set()
+        for qualified, entry in self.nodes.items():
+            if entry["scope"] != scope:
+                continue
+            node = entry["node"]
+            if str(node.get("type") or "") not in _SET_TYPES:
+                continue
+            name = self._virtual_name(node)
+            if not name:
+                continue
+            names.add(name)
+            ins = self._inputs_of(node)
+            link = self._link(scope, ins[0].get("link")) if ins else None
+            resolved = self._resolve_link(scope, link)
+            if resolved is not None:
+                table.setdefault(name, resolved)
+        self._set_names[scope] = names
+        self._set_capture_cache[scope] = table
+        return table
+
+    @staticmethod
+    def _inputs_of(node: dict[str, Any]) -> list[dict[str, Any]]:
+        return [i for i in node.get("inputs") or [] if isinstance(i, dict)]
+
+    @staticmethod
+    def _outputs_of(node: dict[str, Any]) -> list[dict[str, Any]]:
+        return [o for o in node.get("outputs") or [] if isinstance(o, dict)]
+
+    # ------------------------------------------------------------- resolution
+    def _resolve_link(
+        self, scope: str, link: tuple[int, int, int, int, str] | None
+    ) -> tuple[str, int] | None:
+        """Resolve one link (in scope) to an API source (qualified id, slot)."""
+        if link is None:
+            return None
+        if self._depth > 200:  # Set/Get cycles (FOR-loop graphs) never unwind
+            if not self._cycle_warned:
+                self._cycle_warned = True
+                self.issues.append(
+                    ConvertIssue(
+                        "",
+                        "cyclic_variable",
+                        "变量/Set-Get 连线存在循环（常见于 FOR 循环流），该连线按未连接处理",
+                    )
+                )
+            return None
+        self._depth += 1
+        try:
+            return self._resolve_link_inner(scope, link)
+        finally:
+            self._depth -= 1
+
+    def _resolve_link_inner(
+        self, scope: str, link: tuple[int, int, int, int, str]
+    ) -> tuple[str, int] | None:
+        origin_id, origin_slot = link[0], link[1]
+        if origin_id == _SUBGRAPH_IN:
+            # Boundary: hand off to the packed instance's own input slot.
+            packed_q = self.scope_owner.get(scope)
+            if packed_q is None:
+                return None
+            node = self._node(packed_q)
+            if node is None:
+                return None
+            entries = self._inputs_of(node)
+            if origin_slot >= len(entries):
+                return None
+            entry = entries[origin_slot]
+            if entry.get("link") is None:
+                return None  # unlinked boundary → inner widget value applies
+            outer = self._scope(packed_q)
+            return self._resolve_link(outer, self._link(outer, entry.get("link")))
+        qualified = self.scope_ids.get(scope, {}).get(str(origin_id))
+        if qualified is None:
+            return None
+        return self._resolve_source(qualified, origin_slot)
+
+    def _resolve_source(self, qualified: str, slot: int) -> tuple[str, int] | None:
+        """What an outgoing edge from (node, output slot) really connects to."""
+        node = self._node(qualified)
+        if node is None:
+            return None
+        node_type = str(node.get("type") or "")
+        mode = node.get("mode") or 0
+        scope = self._scope(qualified)
+
+        if node_type in _UI_ONLY_TYPES:
+            return None
+
+        if node_type in _REROUTE_TYPES:
+            ins = self._inputs_of(node)
+            if not ins:
+                return None
+            return self._resolve_link(scope, self._link(scope, ins[0].get("link")))
+
+        if node_type in _SET_TYPES:
+            ins = self._inputs_of(node)
+            if not ins:
+                return None
+            return self._resolve_link(scope, self._link(scope, ins[0].get("link")))
+
+        if node_type in _GET_TYPES:
+            name = self._virtual_name(node)
+            captured = self._set_captures(scope).get(name)
+            if captured is None and scope not in self._set_building:
+                if name in self._set_names.get(scope, set()):
+                    self.issues.append(
+                        ConvertIssue(
+                            qualified,
+                            "variable_upstream_dropped",
+                            f"变量「{name}」的上游被旁路或未连接，取值按未连接处理",
+                        )
+                    )
+                else:
+                    self.issues.append(
+                        ConvertIssue(
+                            qualified,
+                            "get_without_set",
+                            f"变量节点「{name}」没有对应的 Set 节点",
+                        )
+                    )
+            return captured
+
+        sub = self._subgraph_of(qualified)
+        if sub is not None:
+            outputs = [o for o in sub.get("outputs") or [] if isinstance(o, dict)]
+            if slot >= len(outputs):
+                return None
+            sub_scope = f"{scope}|{node_type}" if scope else node_type
+            for link in self.scope_links.get(sub_scope, {}).values():
+                if link[2] == _SUBGRAPH_OUT and link[3] == slot:
+                    inner_q = self.scope_ids.get(sub_scope, {}).get(str(link[0]))
+                    return self._resolve_source(inner_q, link[1]) if inner_q else None
+            return None  # boundary output with no inner source
+
+        if mode == MODE_MUTED:
+            return None
+        if mode == MODE_BYPASSED:
+            return self._bypass_through(qualified, slot)
+        return (qualified, slot)
+
+    def _bypass_through(self, qualified: str, slot: int) -> tuple[str, int] | None:
+        """Pass-through of a bypassed node: same-name input first, then same-type."""
+        node = self._node(qualified)
+        if node is None:
+            return None
+        outputs = self._outputs_of(node)
+        out = outputs[slot] if slot < len(outputs) else {}
+        out_name = str(out.get("name") or "")
+        out_type = str(out.get("type") or "*")
+        linkable = [
+            e for e in self._inputs_of(node) if not e.get("widget") and e.get("link") is not None
+        ]
+        pick = None
+        if out_name:
+            pick = next((e for e in linkable if str(e.get("name") or "") == out_name), None)
+        if pick is None:
+            pick = next(
+                (
+                    e
+                    for e in linkable
+                    if out_type == "*" or str(e.get("type") or "*") in (out_type, "*")
+                ),
+                None,
+            )
+        if pick is None:
+            return None
+        scope = self._scope(qualified)
+        return self._resolve_link(scope, self._link(scope, pick.get("link")))
+
+    # --------------------------------------------------------- widget mapping
+    def _widget_entries(self, node: dict[str, Any]) -> list[tuple[str, str]]:
+        """[(name, type)] of entries carrying the ``widget`` marker, in order."""
+        out: list[tuple[str, str]] = []
+        for entry in self._inputs_of(node):
+            marker = entry.get("widget")
+            if isinstance(marker, dict):
+                name = str(marker.get("name") or entry.get("name") or "")
+                if name:
+                    out.append((name, str(entry.get("type") or "")))
+        return out
+
+    def _widgets_from_entries(
+        self,
+        node_id: str,
+        entries: list[tuple[str, str]],
+        values: Any,
+    ) -> tuple[dict[str, Any], list[ConvertIssue]]:
+        """Map widget values using the node's serialized input list."""
+        inputs: dict[str, Any] = {}
+        issues: list[ConvertIssue] = []
+        if isinstance(values, dict):
+            for name, type_ in entries:
+                if name in _BUTTON_WIDGETS or self._is_upload(name, type_):
+                    continue
+                if name in values:
+                    inputs[name] = values[name]
+                else:
+                    issues.append(
+                        ConvertIssue(node_id, "widget_unmapped", f"控件「{name}」没有序列化值")
+                    )
+            return inputs, issues
+        if not isinstance(values, list):
+            return inputs, issues
+        if not values:
+            return inputs, issues  # nothing serialized — server defaults apply
+        i = 0
+        for name, type_ in entries:
+            if name in _BUTTON_WIDGETS:
+                continue  # button widgets never serialize
+            if i >= len(values):
+                issues.append(
+                    ConvertIssue(node_id, "widget_order_mismatch", f"控件值数量不足（{name}）")
+                )
+                break
+            value = values[i]
+            i += 1
+            if self._is_upload(name, type_):
+                continue  # consumes a slot, never an API input
+            inputs[name] = value
+            if (
+                type_.upper() == "INT"
+                and _is_seed_like(name)
+                and i < len(values)
+                and values[i] in _CONTROL_MODES
+            ):
+                i += 1  # control_after_generate rides right after its seed
+        leftover_ok = all(_is_button_leftover(v) for v in values[i:])
+        if not issues and i != len(values) and not leftover_ok:
+            issues.append(
+                ConvertIssue(
+                    node_id,
+                    "widget_order_mismatch",
+                    f"有 {len(values)} 个控件值，输入清单只覆盖 {i} 个",
+                )
+            )
+        return inputs, issues
+
+    @staticmethod
+    def _is_upload(name: str, type_: str) -> bool:
+        return _is_upload_entry(name, type_)
+
+    def _widgets_from_registry(
+        self, node: dict[str, Any], values: list[Any]
+    ) -> tuple[dict[str, Any], list[ConvertIssue]]:
+        node_type = str(node.get("type") or "")
+        if not values:
+            return {}, []  # nothing serialized — server defaults apply
+        for order in WIDGET_ORDERS.get(node_type) or []:
+            inputs: dict[str, Any] = {}
+            i = 0
+            for name in order:
+                if name in _BUTTON_WIDGETS:
+                    continue
+                if i >= len(values):
+                    break
+                value = values[i]
+                i += 1
+                if _is_upload_entry(name, ""):
+                    continue
+                inputs[name] = value
+                if _is_seed_like(name) and i < len(values) and values[i] in _CONTROL_MODES:
+                    i += 1
+            if i == len(values) or all(_is_button_leftover(v) for v in values[i:]):
+                return inputs, []  # exact fit, or trailing button leftovers
+        return {}, [
+            ConvertIssue(
+                node.get("id", ""),
+                "widget_unmapped" if not WIDGET_ORDERS.get(node_type) else "widget_order_mismatch",
+                f"「{node_type}」的 {len(values)} 个控件值无法可靠对应到输入名",
+            )
+        ]
+
+    def _packed_widget_values(self, qualified: str) -> Any:
+        """Exposed widget values of a packed instance as {boundary name: value}."""
+        node = self._node(qualified)
+        sub = self._subgraph_of(qualified)
+        if node is None or sub is None:
+            return None
+        boundary = [i for i in sub.get("inputs") or [] if isinstance(i, dict)]
+        named = node.get("widgets_values_named")
+        if isinstance(named, dict):
+            return named
+        values = node.get("widgets_values")
+        if not isinstance(values, list):
+            return None
+        out: dict[str, Any] = {}
+        i = 0
+        for entry in boundary:
+            name = str(entry.get("name") or "")
+            type_ = str(entry.get("type") or "")
+            if name and i < len(values):
+                out[name] = values[i]
+            i += 1
+            if (
+                type_.upper() == "INT"
+                and _is_seed_like(name)
+                and i < len(values)
+                and values[i] in _CONTROL_MODES
+            ):
+                i += 1
+        return out
+
+    # -------------------------------------------------------------- serialize
+    def _serialize_node(self, qualified: str) -> dict[str, Any] | None:
+        node = self._node(qualified)
+        if node is None:
+            return None
+        node_type = str(node.get("type") or "")
+        if (
+            not node_type
+            or node_type in _UI_ONLY_TYPES
+            or node_type in _REROUTE_TYPES
+            or node_type in _SET_TYPES
+            or node_type in _GET_TYPES
+        ):
+            return None
+        scope = self._scope(qualified)
+        inputs: dict[str, Any] = {}
+
+        widget_values = node.get("widgets_values_named")
+        if not isinstance(widget_values, dict):
+            widget_values = node.get("widgets_values")
+        if self._subgraph_of(qualified) is not None:
+            widget_values = self._packed_widget_values(qualified)
+
+        widget_inputs: dict[str, Any] = {}
+        entries = self._widget_entries(node)
+        if widget_values is not None:
+            if entries:
+                widget_inputs, w_issues = self._widgets_from_entries(
+                    qualified, entries, widget_values
+                )
+                self.issues.extend(w_issues)
+            elif isinstance(widget_values, dict):
+                widget_inputs = {
+                    k: v for k, v in widget_values.items() if k not in _BUTTON_WIDGETS
+                }
+            elif isinstance(widget_values, list):
+                widget_inputs, w_issues = self._widgets_from_registry(node, widget_values)
+                self.issues.extend(w_issues)
+
+        for entry in self._inputs_of(node):
+            name = str(entry.get("name") or "")
+            if not name or name in inputs:
+                continue
+            if entry.get("link") is None:
+                continue  # unconnected optional input; widget values applied below
+            # Widget entries fed from the subgraph boundary (-10): when the
+            # packed instance left that boundary slot unlinked, the value is
+            # the packed node's own exposed widget value, not the inner one.
+            boundary = self._boundary_source(scope, entry.get("link"))
+            if boundary is not None:
+                packed_q, boundary_slot = boundary
+                packed_node = self._node(packed_q)
+                packed_entries = self._inputs_of(packed_node) if packed_node else []
+                if boundary_slot < len(packed_entries) and packed_entries[
+                    boundary_slot
+                ].get("link") is None:
+                    values = self._packed_widget_values(packed_q)
+                    boundary_name = str(packed_entries[boundary_slot].get("name") or "")
+                    if isinstance(values, dict) and boundary_name in values:
+                        inputs[name] = values[boundary_name]
+                        continue
+                # linked boundary falls through to normal resolution
+            link = self._link(scope, entry.get("link"))
+            if link is None:
+                self.issues.append(
+                    ConvertIssue(qualified, "dangling_link", f"输入「{name}」的连线不存在")
+                )
+                continue
+            resolved = self._resolve_link(scope, link)
+            if resolved is not None:
+                inputs[name] = [resolved[0], resolved[1]]
+            elif entry.get("widget"):
+                pass  # muted upstream: the widget value below takes over
+            else:
+                self.issues.append(
+                    ConvertIssue(
+                        qualified,
+                        "muted_input_dropped",
+                        f"输入「{name}」上游被静音，已按未连接处理",
+                    )
+                )
+
+        for name, value in widget_inputs.items():
+            inputs.setdefault(name, value)
+
+        api_node: dict[str, Any] = {"class_type": node_type, "inputs": inputs}
+        title = str(node.get("title") or "").strip()
+        if title:
+            api_node["_meta"] = {"title": title}
+        return api_node
+
+    # ------------------------------------------------------------------- main
+    def run(self) -> ConvertResult:
+        nodes = self.ui.get("nodes")
+        if not isinstance(nodes, list) or not nodes:
+            return ConvertResult(
+                None,
+                "fail",
+                [ConvertIssue("", "no_nodes", "文件不含 nodes 数组，不是 UI 格式工作流", "error")],
+            )
+        try:
+            self._index_scope("", self.ui.get("links") or [], None)
+            for node in nodes:
+                if isinstance(node, dict):
+                    self._flatten(node, "", "")
+        except RecursionError:
+            return ConvertResult(
+                None, "fail", [ConvertIssue("", "subgraph_recursion", "子图嵌套过深", "error")]
+            )
+
+        # Closure from known output nodes (ComfyUI's own graphToPrompt roots).
+        roots = [
+            q
+            for q, entry in self.nodes.items()
+            if str(entry["node"].get("type") or "") in _OUTPUT_CLASSES
+            and (entry["node"].get("mode") or 0) == MODE_ACTIVE
+        ]
+        keep: dict[str, None] = {}
+        stack = list(roots)
+        while stack:
+            qualified = stack.pop()
+            if qualified in keep:
+                continue
+            entry = self.nodes.get(qualified)
+            if entry is None:
+                continue
+            keep[qualified] = None
+            node = entry["node"]
+            scope = entry["scope"]
+            for e in self._inputs_of(node):
+                if e.get("link") is None:
+                    continue
+                link = self._link(scope, e.get("link"))
+                resolved = self._resolve_link(scope, link)
+                if resolved is not None:
+                    stack.append(resolved[0])
+
+        if not keep:
+            # No known output node: keep every active computed node and warn —
+            # the import lint will report the missing output separately.
+            for qualified, entry in self.nodes.items():
+                node = entry["node"]
+                node_type = str(node.get("type") or "")
+                if (
+                    node_type in _UI_ONLY_TYPES
+                    or node_type in _REROUTE_TYPES
+                    or (node.get("mode") or 0) != MODE_ACTIVE
+                    or self._subgraph_of(qualified) is not None
+                ):
+                    continue
+                keep[qualified] = None
+            self.issues.append(
+                ConvertIssue(
+                    "",
+                    "no_output_node",
+                    "图中没有已知输出节点（SaveImage / 视频合成等），"
+                    "全部活跃节点已保留，需人工确认",
+                )
+            )
+
+        workflow: dict[str, Any] = {}
+        for qualified in keep:
+            api_node = self._serialize_node(qualified)
+            if api_node is not None and api_node["class_type"]:
+                workflow[qualified] = api_node
+
+        if not workflow:
+            return ConvertResult(
+                None,
+                "fail",
+                self.issues or [ConvertIssue("", "empty", "转换后没有任何节点", "error")],
+            )
+        status = (
+            "fail"
+            if any(i.level == "error" for i in self.issues)
+            else ("ok" if not self.issues else "warn")
+        )
+        return ConvertResult(workflow, status, self.issues)
+
+
+def convert_ui_workflow(ui: dict[str, Any]) -> ConvertResult:
+    """Convert one ComfyUI UI-format workflow dict into API format."""
+    if not isinstance(ui, dict) or not isinstance(ui.get("nodes"), list):
+        return ConvertResult(
+            None,
+            "fail",
+            [ConvertIssue("", "not_ui_format", "不是 UI 格式（缺少 nodes 数组）", "error")],
+        )
+    return _Converter(ui).run()
@@ -0,0 +1,146 @@
+"""Check and coerce studio form values against a workflow's input schema."""
+
+from __future__ import annotations
+
+import math
+from pathlib import Path
+from typing import Any
+
+
+def _fmt(n: Any) -> str:
+    return f"{n:g}" if isinstance(n, float) else str(n)
+
+
+def validate_input_values(
+    schema: list[dict[str, Any]], values: dict[str, Any]
+) -> tuple[dict[str, Any], list[str]]:
+    """Return ``(clean_values, errors)``.
+
+    Numbers are coerced to int/float per the schema entry (``integer``,
+    ``min``/``max``); select values must be one of ``options``. Blank values
+    are dropped so the workflow keeps its own value. Keys not in the schema
+    pass through untouched (other callers patch extra keys, e.g. uploads).
+    Auto-detected required entries (positive prompt, wired image slots,
+    reference-image lists) must be present — tagged workflows mark every
+    input required, and blank ones fall back to the workflow's value.
+    """
+    by_key = {str(e.get("nodeId")): e for e in schema if isinstance(e, dict)}
+    clean: dict[str, Any] = {}
+    errors: list[str] = []
+    for key, raw in (values or {}).items():
+        entry = by_key.get(str(key))
+        if entry is None:
+            clean[key] = raw
+            continue
+        if raw is None or (isinstance(raw, str) and not raw.strip()):
+            continue
+        label = str(entry.get("label") or key)
+        kind = entry.get("kind")
+        if kind == "number":
+            if isinstance(raw, bool):
+                errors.append(f"「{label}」必须是数字")
+                continue
+            try:
+                num = float(raw)
+            except (TypeError, ValueError):
+                errors.append(f"「{label}」必须是数字")
+                continue
+            if not math.isfinite(num):
+                errors.append(f"「{label}」必须是有限数字")
+                continue
+            if entry.get("integer"):
+                if num != int(num):
+                    errors.append(f"「{label}」必须是整数")
+                    continue
+                value: int | float = int(num)
+            else:
+                value = int(num) if isinstance(raw, int) else num
+            lo, hi = entry.get("min"), entry.get("max")
+            if lo is not None and value < lo:
+                errors.append(f"「{label}」不能小于 {_fmt(lo)}")
+                continue
+            if hi is not None and value > hi:
+                errors.append(f"「{label}」不能大于 {_fmt(hi)}")
+                continue
+            clean[key] = value
+        elif kind in ("image_list", "video_list", "audio_list"):
+            paths = [raw] if isinstance(raw, str) else raw
+            if not isinstance(paths, list) or not all(isinstance(p, str) for p in paths):
+                errors.append(f"「{label}」的取值格式不对，请重新上传")
+                continue
+            paths = [p for p in paths if p.strip()]
+            unit = _LIST_UNITS[kind]
+            noun = _LIST_NOUNS[kind]
+            hi = entry.get("max")
+            if hi is not None and len(paths) > hi:
+                errors.append(
+                    f"{label}最多 {hi} {unit}（当前 {len(paths)} {unit}），请删除多余的{noun}"
+                )
+                continue
+            bad = [
+                f"{label} {i}：{msg}"
+                for i, p in enumerate(paths, 1)
+                if (msg := _media_file_problem(p, kind))
+            ]
+            if bad:
+                errors.extend(bad)
+                continue
+            if paths:
+                clean[key] = paths
+        elif kind == "select":
+            options = entry.get("options") or []
+            if options and raw not in options:
+                errors.append(f"「{label}」的取值「{raw}」不在工作流支持的选项中")
+                continue
+            clean[key] = raw
+        else:
+            clean[key] = raw
+    for key, entry in by_key.items():
+        required = entry.get("auto") and entry.get("required")
+        label = entry.get("label") or key
+        if required and entry.get("role") == "prompt":
+            has_fallback = str(entry.get("defaultValue") or "").strip() != ""
+            if key not in clean and not has_fallback:
+                errors.append(f"请填写「{label}」")
+        elif required and entry.get("kind") in ("image_list", "video_list", "audio_list"):
+            lo = entry.get("min") or 1
+            unit = _LIST_UNITS[entry.get("kind")]
+            if len(clean.get(key) or []) < lo and not any(label in e for e in errors):
+                errors.append(f"需要至少 {lo} {unit}{label}")
+        elif required and entry.get("kind") == "image" and entry.get("role") != "mask":
+            if key not in clean:
+                errors.append(f"请上传{label}")
+    return clean, errors
+
+
+_IMAGE_EXTS = frozenset({".png", ".jpg", ".jpeg", ".webp"})
+_VIDEO_EXTS = frozenset({".mp4", ".webm", ".mov"})
+_AUDIO_EXTS = frozenset({".mp3", ".wav", ".m4a"})
+_LIST_UNITS = {"image_list": "张", "video_list": "段", "audio_list": "段"}
+_LIST_NOUNS = {"image_list": "图片", "video_list": "视频", "audio_list": "音频"}
+_LIST_EXTS = {"image_list": _IMAGE_EXTS, "video_list": _VIDEO_EXTS, "audio_list": _AUDIO_EXTS}
+_LIST_FORMAT_HINT = {
+    "image_list": "格式不支持，请使用 PNG / JPG / WebP",
+    "video_list": "格式不支持，请使用 MP4 / WebM / MOV",
+    "audio_list": "格式不支持，请使用 MP3 / WAV / M4A",
+}
+
+
+def _media_file_problem(path: str, kind: str) -> str | None:
+    """Why ``path`` cannot fill a media-list slot of this kind (None = fine)."""
+    from calliope import config
+
+    target = Path(path)
+    if target.suffix.lower() not in _LIST_EXTS[kind]:
+        return _LIST_FORMAT_HINT[kind]
+    try:
+        target.resolve().relative_to(config.settings.assets_dir.resolve())
+    except (ValueError, OSError):
+        return f"只能使用在本页上传或从生成结果选入的{_LIST_NOUNS[kind]}"
+    if not target.is_file():
+        return "文件已不存在，请重新上传"
+    return None
+
+
+def _image_file_problem(path: str) -> str | None:
+    return _media_file_problem(path, "image_list")
@@ -59,7 +59,15 @@ DEFAULT_AGENT_HARDENING_PROMPT = """You are operating under additional operator-
 # Agent roles that can be pinned to a specific LLM profile. Values live in
 # Settings.agent_llm_assignments (role -> profile id or None). A missing or
 # None entry means "use the Active LLM".
-AGENT_LLM_ROLES: tuple[str, ...] = ("main", "planner", "story", "script", "assets", "video")
+AGENT_LLM_ROLES: tuple[str, ...] = (
+    "main",
+    "planner",
+    "story",
+    "style",
+    "script",
+    "assets",
+    "video",
+)


 def is_ephemeral_path(path: Path | str | None) -> bool:
@@ -124,6 +132,13 @@ class Settings(BaseSettings):

    comfyui_base_url: str = "http://127.0.0.1:8188"
    # Comfy is HTTP-only (upload / prompt / history / view). No local input/output dirs.
+    # Named ComfyUI endpoints (multi-connection, HEL-611). `comfyui_base_url`
+    # above keeps mirroring the ACTIVE endpoint so legacy readers (worker
+    # fallback, tests) keep working — same pattern as llm_* vs llm_profiles.
+    # Each endpoint: {id, name, base_url, auth_type: none|bearer|header,
+    # auth_token, header_name, notes}. auth_token stays server-side only.
+    comfyui_endpoints: list[dict[str, Any]] = Field(default_factory=list)
+    comfyui_active_id: str | None = None

    queue_concurrency: int = 1
    queue_poll_interval_sec: float = 2.0
@@ -309,6 +324,167 @@ class Settings(BaseSettings):
                break
        self.apply_active_llm()

+    # ------------------------------------------------------------------
+    # ComfyUI multi-connection endpoints (HEL-611). Mirrors the LLM profile
+    # pattern: list + active id + secret-preserving replace + masked public
+    # view. `comfyui_base_url` always mirrors the active endpoint so legacy
+    # single-address readers keep working.
+    # ------------------------------------------------------------------
+    @staticmethod
+    def _normalize_comfy_endpoint(raw: dict[str, Any]) -> dict[str, Any] | None:
+        if not isinstance(raw, dict):
+            return None
+        base_url = str(raw.get("base_url") or "").strip().rstrip("/")
+        if not base_url:
+            return None
+        auth_type = str(raw.get("auth_type") or "none")
+        if auth_type not in ("none", "bearer", "header"):
+            auth_type = "none"
+        token = raw.get("auth_token")
+        if not isinstance(token, str) or not token.strip():
+            token = None
+        header_name = str(raw.get("header_name") or "").strip() or None
+        return {
+            "id": str(raw.get("id") or uuid.uuid4()),
+            "name": str(raw.get("name") or "").strip() or base_url,
+            "base_url": base_url,
+            "auth_type": auth_type,
+            "auth_token": token,
+            "header_name": header_name,
+            "notes": str(raw.get("notes") or "").strip() or None,
+        }
+
+    def ensure_comfyui_endpoints(self) -> bool:
+        """Guarantee at least one endpoint and base_url mirroring the active.
+
+        Returns True when the list was created or repaired (caller persists).
+        Existing configs with only comfyui_base_url migrate into one endpoint.
+        """
+        migrated = False
+        raw_list = self.comfyui_endpoints if isinstance(self.comfyui_endpoints, list) else []
+        normalized: list[dict[str, Any]] = []
+        for item in raw_list:
+            ep = self._normalize_comfy_endpoint(item)
+            if ep is not None:
+                normalized.append(ep)
+        if not normalized:
+            legacy = (self.comfyui_base_url or "http://127.0.0.1:8188").strip().rstrip("/")
+            pid = str(uuid.uuid4())
+            self.comfyui_endpoints = [
+                {
+                    "id": pid,
+                    "name": "本机 ComfyUI" if self._is_local_url(legacy) else legacy,
+                    "base_url": legacy,
+                    "auth_type": "none",
+                    "auth_token": None,
+                    "header_name": None,
+                    "notes": None,
+                }
+            ]
+            self.comfyui_active_id = pid
+            migrated = True
+        else:
+            self.comfyui_endpoints = normalized
+            ids = {ep["id"] for ep in normalized}
+            if self.comfyui_active_id not in ids:
+                self.comfyui_active_id = normalized[0]["id"]
+                migrated = True
+        self.apply_active_comfyui()
+        return migrated
+
+    @staticmethod
+    def _is_local_url(url: str) -> bool:
+        host = url.split("://", 1)[-1].split("/", 1)[0].split(":", 1)[0].lower()
+        return host in ("localhost", "127.0.0.1", "::1")
+
+    def apply_active_comfyui(self) -> None:
+        """Mirror the active endpoint onto comfyui_base_url (legacy field)."""
+        endpoints = self.comfyui_endpoints if isinstance(self.comfyui_endpoints, list) else []
+        endpoint = next(
+            (ep for ep in endpoints if ep.get("id") == self.comfyui_active_id), None
+        )
+        if endpoint is None and endpoints:
+            endpoint = endpoints[0]
+            self.comfyui_active_id = str(endpoint.get("id") or "")
+        if endpoint is None:
+            return
+        if endpoint.get("base_url"):
+            self.comfyui_base_url = str(endpoint["base_url"])
+
+    def replace_comfyui_endpoints(self, incoming: list[dict[str, Any]]) -> None:
+        """Replace the endpoint list, preserving tokens unless a new one is sent."""
+        existing = {
+            str(ep["id"]): ep
+            for ep in (self.comfyui_endpoints or [])
+            if isinstance(ep, dict) and ep.get("id")
+        }
+        new_list: list[dict[str, Any]] = []
+        for raw in incoming:
+            if not isinstance(raw, dict):
+                continue
+            pid = str(raw["id"]) if raw.get("id") else str(uuid.uuid4())
+            old = existing.get(pid, {})
+            merged = {**old, **raw, "id": pid}
+            # Blank token on edit = keep the stored one (never echoed back).
+            incoming_token = raw.get("auth_token")
+            if not (isinstance(incoming_token, str) and incoming_token.strip()):
+                merged["auth_token"] = old.get("auth_token")
+            ep = self._normalize_comfy_endpoint(merged)
+            if ep is not None:
+                new_list.append(ep)
+        if not new_list:
+            raise ValueError("至少需要一个 ComfyUI 连接")
+        self.comfyui_endpoints = new_list
+        ids = {ep["id"] for ep in new_list}
+        if self.comfyui_active_id not in ids:
+            self.comfyui_active_id = new_list[0]["id"]
+        self.apply_active_comfyui()
+
+    def sync_legacy_comfyui_into_active(self) -> None:
+        """Write a legacy comfyui_base_url PATCH onto the active endpoint."""
+        base_url = (self.comfyui_base_url or "").strip().rstrip("/")
+        self.ensure_comfyui_endpoints()
+        for ep in self.comfyui_endpoints:
+            if ep.get("id") == self.comfyui_active_id:
+                if base_url:
+                    ep["base_url"] = base_url
+                    if not str(ep.get("name") or "").strip():
+                        ep["name"] = base_url
+                break
+        self.apply_active_comfyui()
+
+    def resolve_comfyui_endpoint(self, endpoint_id: str | None = None) -> dict[str, Any] | None:
+        """Full endpoint dict (token included) for an id; None id or a dangling
+        id falls back to the active endpoint. Server-side use only."""
+        self.ensure_comfyui_endpoints()
+        endpoints = self.comfyui_endpoints
+        if endpoint_id:
+            for ep in endpoints:
+                if ep.get("id") == endpoint_id:
+                    return ep
+        return next((ep for ep in endpoints if ep.get("id") == self.comfyui_active_id), None) or (
+            endpoints[0] if endpoints else None
+        )
+
+    def _public_comfyui_endpoints(self) -> list[dict[str, Any]]:
+        self.ensure_comfyui_endpoints()
+        out: list[dict[str, Any]] = []
+        for ep in self.comfyui_endpoints:
+            token = ep.get("auth_token") if isinstance(ep.get("auth_token"), str) else None
+            out.append(
+                {
+                    "id": ep["id"],
+                    "name": ep["name"],
+                    "base_url": ep["base_url"],
+                    "auth_type": ep.get("auth_type") or "none",
+                    "header_name": ep.get("header_name"),
+                    "notes": ep.get("notes"),
+                    "has_token": bool(token),
+                    "token_tail": (token or "")[-4:] or None,
+                }
+            )
+        return out
+
    def _public_llm_profiles(self) -> list[dict[str, Any]]:
        self.ensure_llm_profiles()
        return [
@@ -318,6 +494,9 @@ class Settings(BaseSettings):
                "base_url": p["base_url"],
                "model": p["model"],
                "api_key": bool(p.get("api_key")),
+                # Last 4 characters only — enough to recognise a saved key in
+                # the UI without ever exposing it (GitHub/Stripe convention).
+                "api_key_tail": (p.get("api_key") or "")[-4:] or None,
            }
            for p in self.llm_profiles
        ]
@@ -339,6 +518,8 @@ class Settings(BaseSettings):
            "llm_active_id": self.llm_active_id,
            "agent_llm_assignments": dict(self.agent_llm_assignments or {}),
            "comfyui_base_url": self.comfyui_base_url,
+            "comfyui_endpoints": self._public_comfyui_endpoints(),
+            "comfyui_active_id": self.comfyui_active_id,
            "queue_concurrency": self.queue_concurrency,
            "queue_poll_interval_sec": self.queue_poll_interval_sec,
            "queue_poll_timeout_sec": self.queue_poll_timeout_sec,
@@ -397,6 +578,10 @@ class Settings(BaseSettings):
        self.dry_run = bool(data.get("dry_run", False))
        self.ensure_storage_dirs()
        profiles_migrated = self.ensure_llm_profiles()
+        comfy_migrated = self.ensure_comfyui_endpoints()
+        if comfy_migrated:
+            # Legacy single-address config: persist the migrated endpoint list.
+            self.save_config_file()

        # Auto-heal poisoned config (temp paths / quoted dirs / legacy comfy dirs) back to disk
        needs_rewrite = is_ephemeral_path(normalize_path(data.get("data_dir"))) or any(
@@ -434,6 +619,8 @@ class Settings(BaseSettings):
            "llm_active_id": self.llm_active_id,
            "agent_llm_assignments": dict(self.agent_llm_assignments or {}),
            "comfyui_base_url": self.comfyui_base_url,
+            "comfyui_endpoints": self.comfyui_endpoints,
+            "comfyui_active_id": self.comfyui_active_id,
            "queue_concurrency": self.queue_concurrency,
            "queue_poll_interval_sec": self.queue_poll_interval_sec,
            "queue_poll_timeout_sec": self.queue_poll_timeout_sec,
@@ -1,6 +1,7 @@
 from __future__ import annotations

 import json
+import re
 import sqlite3
 from pathlib import Path
 from typing import Any
@@ -121,7 +122,11 @@ CREATE TABLE IF NOT EXISTS workflows (
    description TEXT,
    prompt_profile TEXT NOT NULL DEFAULT 'prose',
    is_enabled INTEGER NOT NULL DEFAULT 1,
-    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    usage TEXT,
+    usage_source TEXT,
+    output_map TEXT,
+    output_map_source TEXT
 );

 CREATE TABLE IF NOT EXISTS jobs (
@@ -138,7 +143,9 @@ CREATE TABLE IF NOT EXISTS jobs (
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    started_at TIMESTAMP,
    completed_at TIMESTAMP,
-    retry_count INTEGER NOT NULL DEFAULT 0
+    retry_count INTEGER NOT NULL DEFAULT 0,
+    comfy_prompt_id TEXT,
+    phase TEXT
 );

 CREATE TABLE IF NOT EXISTS agent_sessions (
@@ -147,11 +154,33 @@ CREATE TABLE IF NOT EXISTS agent_sessions (
    title TEXT NOT NULL DEFAULT 'New chat',
    status TEXT NOT NULL DEFAULT 'idle' CHECK(status IN ('idle', 'running', 'error')),
    origin TEXT NOT NULL DEFAULT 'chat' CHECK(origin IN ('chat', 'scene')),
+    agent_key TEXT,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
 );
 CREATE INDEX IF NOT EXISTS idx_agent_sessions_project ON agent_sessions(project_id);

+-- Named-agent skill state (HEL-613): file content stays the truth in
+-- <data_dir>/skills/<name>/SKILL.md; these tables only carry enable flags,
+-- per-agent assignment, and edit snapshots for version/rollback.
+CREATE TABLE IF NOT EXISTS skill_overrides (
+    skill_name TEXT PRIMARY KEY,
+    is_enabled INTEGER NOT NULL DEFAULT 1
+);
+CREATE TABLE IF NOT EXISTS skill_bindings (
+    agent_key TEXT NOT NULL,
+    skill_name TEXT NOT NULL,
+    is_enabled INTEGER NOT NULL DEFAULT 1,
+    PRIMARY KEY(agent_key, skill_name)
+);
+CREATE TABLE IF NOT EXISTS skill_versions (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    skill_name TEXT NOT NULL,
+    content TEXT NOT NULL,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+);
+CREATE INDEX IF NOT EXISTS idx_skill_versions_name ON skill_versions(skill_name);
+
 CREATE TABLE IF NOT EXISTS agent_messages (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    session_id INTEGER NOT NULL REFERENCES agent_sessions(id) ON DELETE CASCADE,
@@ -261,6 +290,41 @@ CREATE TABLE IF NOT EXISTS shot_capture (
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
 );
 CREATE INDEX IF NOT EXISTS idx_shot_capture_composition ON shot_capture(composition_id);
+
+-- Five-stage creation workbench (HEL-614): one row per project per stage.
+-- content_json is the working draft the user can edit; confirmed_content_json
+-- is the last confirmed snapshot — the only version handed to the next agent
+-- (unconfirmed drafts are never treated as final).
+CREATE TABLE IF NOT EXISTS project_stages (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    project_id INTEGER NOT NULL REFERENCES projects(id) ON DELETE CASCADE,
+    stage_key TEXT NOT NULL CHECK(stage_key IN ('script','style','storyboard','assets','shot')),
+    status TEXT NOT NULL DEFAULT 'todo' CHECK(status IN ('todo','running','awaiting_confirm','confirmed')),
+    content_json TEXT,
+    confirmed_content_json TEXT,
+    chosen_style_id TEXT,
+    draft_edited INTEGER NOT NULL DEFAULT 0,
+    error TEXT,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    UNIQUE(project_id, stage_key)
+);
+CREATE INDEX IF NOT EXISTS idx_project_stages_project ON project_stages(project_id);
+
+-- Audit trail of agent runs inside the flow (HEL-614): instruction in,
+-- normalized JSON artifact out, or a Chinese-readable failure reason.
+CREATE TABLE IF NOT EXISTS stage_runs (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    project_id INTEGER NOT NULL REFERENCES projects(id) ON DELETE CASCADE,
+    stage_key TEXT NOT NULL CHECK(stage_key IN ('script','style','storyboard','assets','shot')),
+    instruction TEXT,
+    output_json TEXT,
+    status TEXT NOT NULL DEFAULT 'running' CHECK(status IN ('running','done','failed')),
+    error TEXT,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    completed_at TIMESTAMP
+);
+CREATE INDEX IF NOT EXISTS idx_stage_runs_project ON stage_runs(project_id, stage_key);
 """


@@ -279,6 +343,111 @@ def _sqlite_connect(path: Path) -> sqlite3.Connection:
    return sqlite3.connect(path)


+def _backfill_workflow_usage(conn: sqlite3.Connection) -> None:
+    """HEL-636: settle `workflows.usage` for rows that still have none.
+
+    Determinate graphs get ``usage='auto'``; indeterminate ones keep NULL
+    and are disabled (they must be confirmed on the connections page before
+    they can generate). Rows the user already confirmed (usage_source='user')
+    never pass through here again — their usage is set, so the WHERE clause
+    skips them. Old jobs / history / `kind` semantics are untouched.
+    """
+    from calliope.comfyui.parser import classify_usage
+
+    rows = conn.execute(
+        "SELECT id, workflow_json FROM workflows WHERE usage IS NULL OR usage = ''"
+    ).fetchall()
+    for row in rows:  # plain connect — positional access
+        try:
+            workflow = json.loads(row[1])
+        except (json.JSONDecodeError, TypeError):
+            workflow = None
+        judgment = classify_usage(workflow) if isinstance(workflow, dict) else {}
+        if judgment.get("usage"):
+            conn.execute(
+                "UPDATE workflows SET usage = ?, usage_source = 'auto' WHERE id = ?",
+                (judgment["usage"], row[0]),
+            )
+        else:
+            conn.execute(
+                "UPDATE workflows SET is_enabled = 0 WHERE id = ? AND usage IS NULL",
+                (row[0],),
+            )
+
+
+def _backfill_workflow_output_map(conn: sqlite3.Connection) -> None:
+    """HEL-638: settle the output-node mapping for existing rows.
+
+    Rows the user already mapped (output_map_source='user') are never
+    touched. Determinate graphs get the trusted ``auto`` map. Rows whose
+    graph now contains unknown custom output candidates get no auto map and
+    are parked disabled — the usage decision survives, but until the user
+    designates the output nodes the workflow must not generate.
+    """
+    from calliope.comfyui.output_map import auto_output_map, needs_user_output_map
+
+    rows = conn.execute(
+        "SELECT id, workflow_json FROM workflows"
+        " WHERE output_map_source IS NULL OR output_map_source != 'user'"
+    ).fetchall()
+    for row in rows:
+        try:
+            workflow = json.loads(row[1])
+        except (json.JSONDecodeError, TypeError):
+            workflow = None
+        if not isinstance(workflow, dict):
+            continue
+        if needs_user_output_map(workflow):
+            conn.execute(
+                "UPDATE workflows SET output_map = NULL, output_map_source = NULL,"
+                " is_enabled = 0 WHERE id = ?",
+                (row[0],),
+            )
+        else:
+            conn.execute(
+                "UPDATE workflows SET output_map = ?, output_map_source = 'auto'"
+                " WHERE id = ?",
+                (json.dumps(auto_output_map(workflow)), row[0]),
+            )
+
+
+# HEL-671: the user's H3 import went in under a first-frame-only name
+# (“H3图生视频·首帧…”) although its graph is the FL2VA node that also takes
+# a last frame. A row is renamed only when BOTH hold: its graph carries a
+# wired MiniMaxH3ImageToVideo node, and its name still reads like a
+# first-frame-only workflow — a row the user renamed, or any other graph,
+# is left alone. Idempotent: the new name no longer matches.
+_FIRST_FRAME_NAME_RE = re.compile(r"图生视频\s*[·\-—~]?\s*首帧")
+_FL2VA_DESCRIPTION = "首帧必填，尾帧可选：只传首帧为图生视频，同时传尾帧为首尾帧生视频"
+
+
+def _rename_workflows(conn: sqlite3.Connection) -> None:
+    for wid, name, wf_json in conn.execute(
+        "SELECT id, name, workflow_json FROM workflows"
+    ).fetchall():
+        if not name or "尾帧" in name or not _FIRST_FRAME_NAME_RE.search(name):
+            continue
+        try:
+            workflow = json.loads(wf_json) if wf_json else None
+        except (json.JSONDecodeError, TypeError):
+            continue
+        if not isinstance(workflow, dict):
+            continue
+        fl2va = any(
+            isinstance(node, dict)
+            and str(node.get("class_type") or "") == "MiniMaxH3ImageToVideo"
+            and isinstance((node.get("inputs") or {}).get("first_frame"), list)
+            for node in workflow.values()
+        )
+        if not fl2va:
+            continue
+        conn.execute(
+            "UPDATE workflows SET name = ?,"
+            " description = COALESCE(NULLIF(description, ''), ?) WHERE id = ?",
+            (_FIRST_FRAME_NAME_RE.sub("首尾帧生视频", name), _FL2VA_DESCRIPTION, wid),
+        )
+
+
 async def migrate_db(db_path: Path) -> None:
    db_path.parent.mkdir(parents=True, exist_ok=True)
    conn = sqlite3.connect(db_path)
@@ -319,6 +488,50 @@ async def migrate_db(db_path: Path) -> None:
        conn.execute(
            "ALTER TABLE workflows ADD COLUMN prompt_profile TEXT NOT NULL DEFAULT 'prose'"
        )
+    if "endpoint_id" not in cols:
+        # HEL-611: optional binding to a ComfyUI connection (settings'
+        # comfyui_endpoints id). Dangling ids are tolerated — enqueue falls
+        # back to the active connection.
+        conn.execute("ALTER TABLE workflows ADD COLUMN endpoint_id TEXT")
+    # HEL-636: five-way usage (text2image…ref2video). NULL = pending human
+    # confirmation; `kind` keeps meaning output media for history/paths.
+    if "usage" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN usage TEXT")
+    if "usage_source" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN usage_source TEXT")
+    # HEL-638: explicit output-node designation for unknown custom output
+    # nodes ({nodeId, kind} JSON + 'user'|'auto'). Idempotent backfill
+    # below parks unmapped unknown-output rows (disabled) like usage does.
+    if "output_map" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN output_map TEXT")
+    if "output_map_source" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN output_map_source TEXT")
+    # HEL-681 (S2): library metadata for 150+ scale workflow browsing. Purely
+    # additive columns — old rows stay NULL/0 and every legacy path ignores
+    # them; the lightweight list view (?view=meta) is their only reader.
+    if "category" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN category TEXT")
+    if "model_family" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN model_family TEXT")
+    if "media_io" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN media_io TEXT")
+    if "tags" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN tags TEXT")
+    if "favorite" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN favorite INTEGER NOT NULL DEFAULT 0")
+    if "last_used_at" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN last_used_at TIMESTAMP")
+    if "source" not in cols:
+        # where the row came from: 'ui_convert' (HEL-681 batch import) vs
+        # NULL = manual/API import as before.
+        conn.execute("ALTER TABLE workflows ADD COLUMN source TEXT")
+    if "source_path" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN source_path TEXT")
+    # Idempotent backfill: pending rows are re-judged on every boot (parser
+    # upgrades can settle them); confirmed rows are never touched.
+    _backfill_workflow_usage(conn)
+    _backfill_workflow_output_map(conn)
+    _rename_workflows(conn)
    scene_cols = {r[1] for r in conn.execute("PRAGMA table_info(scenes)").fetchall()}
    if "location_id" not in scene_cols:
        conn.execute("ALTER TABLE scenes ADD COLUMN location_id INTEGER")
@@ -358,6 +571,18 @@ async def migrate_db(db_path: Path) -> None:
            WHERE kind = 'video' AND scene_id IS NOT NULL AND clip_id IS NULL
            """
        )
+    # HEL-627: the ComfyUI prompt id a job was accepted under, and where the
+    # job really is (connecting / comfy_queued / comfy_running / saving;
+    # finished = real results saved; dry_run = placeholder, ComfyUI never called).
+    if "comfy_prompt_id" not in job_cols:
+        conn.execute("ALTER TABLE jobs ADD COLUMN comfy_prompt_id TEXT")
+    if "phase" not in job_cols:
+        conn.execute("ALTER TABLE jobs ADD COLUMN phase TEXT")
+    # HEL-643: where a job came from — 'user' (every normal generation) or
+    # 'workflow_test' (L3 试运行). Existing rows default to 'user', semantics
+    # unchanged; test jobs get isolated artifacts and no entity write-back.
+    if "origin" not in job_cols:
+        conn.execute("ALTER TABLE jobs ADD COLUMN origin TEXT NOT NULL DEFAULT 'user'")
    # Build Scene's per-scene sessions: origin stamps WHERE a blind session was
    # born ('chat' = user-created in AI Canvas, 'scene' = auto-created by the
    # Build Scene rail). The session list excludes origin='scene' so scene
@@ -367,6 +592,27 @@ async def migrate_db(db_path: Path) -> None:
        conn.execute("ALTER TABLE agent_sessions ADD COLUMN origin TEXT NOT NULL DEFAULT 'chat'")
        # Backfill: existing Scene · N sessions were born in Build Scene.
        conn.execute("UPDATE agent_sessions SET origin = 'scene' WHERE title LIKE 'Scene · %'")
+    if "agent_key" not in session_cols:
+        # HEL-613: named-agent sessions (five AIGC roles). NULL = a plain
+        # chat/scene session (every session created before this column).
+        conn.execute("ALTER TABLE agent_sessions ADD COLUMN agent_key TEXT")
+    # Seed per-agent bindings once, when the skill_bindings table is fresh:
+    # every skill that exists at upgrade time (the builtins) becomes visible
+    # to all five agents, so agent chats keep the current out-of-the-box
+    # behavior; new user skills opt in via the editor's 分配给 row.
+    binding_count = conn.execute("SELECT COUNT(*) FROM skill_bindings").fetchone()[0]
+    if binding_count == 0:
+        from calliope.agent.agents_registry import AGENT_KEYS
+        from calliope.agent.skills_store import ensure_builtin_skills, skills_root
+
+        ensure_builtin_skills()
+        for skill_dir in sorted(skills_root().glob("*/SKILL.md")):
+            name = skill_dir.parent.name
+            conn.executemany(
+                "INSERT OR IGNORE INTO skill_bindings(agent_key, skill_name, is_enabled) "
+                "VALUES (?, ?, 1)",
+                [(key, name) for key in AGENT_KEYS],
+            )
    project_cols = {r[1] for r in conn.execute("PRAGMA table_info(projects)").fetchall()}
    if "cover_path" not in project_cols:
        conn.execute("ALTER TABLE projects ADD COLUMN cover_path TEXT")
@@ -20,6 +20,7 @@ from calliope.routers import (
    agent,
    assets,
    canvas,
+    comfyui as comfy,
    events,
    jobs,
    library,
@@ -29,6 +30,7 @@ from calliope.routers import (
    settings as settings_router,
    shots,
    story,
+    workbench,
    workflows,
 )

@@ -135,10 +137,12 @@ def create_app(static_dir: Path | None = None) -> FastAPI:
    app.include_router(workflows.router, prefix="/api/workflows", tags=["workflows"])
    app.include_router(jobs.router, prefix="/api/jobs", tags=["jobs"])
    app.include_router(playground.router, prefix="/api/playground", tags=["playground"])
+    app.include_router(comfy.router, prefix="/api/comfyui", tags=["comfyui"])
    app.include_router(library.router, prefix="/api/library", tags=["library"])
    app.include_router(canvas.router, prefix="/api/canvas", tags=["canvas"])
    app.include_router(shots.router, prefix="/api/shots", tags=["shots"])
    app.include_router(agent.router, prefix="/api/agent", tags=["agent"])
+    app.include_router(workbench.router, prefix="/api/workbench", tags=["workbench"])
    app.include_router(events.router, prefix="/api/events", tags=["events"])

    @app.get("/api/health")
@@ -39,6 +39,10 @@ class ProjectStats(BaseModel):
    character_count: int
    asset_ready_count: int
    asset_total_count: int
+    # Five-stage workbench progress (HEL-614) — real stage rows + live jobs.
+    stage_confirmed: int = 0
+    stage_status: dict[str, str] = Field(default_factory=dict)
+    active_jobs: int = 0


 class Project(BaseModel):
@@ -194,12 +198,35 @@ class ExpandClipsRequest(BaseModel):
    clip_cap: int | None = None


+WorkflowUsageKind = Literal[
+    "text2image",
+    "image2image",
+    "text2video",
+    "image2video",
+    "ref2video",
+]
+
+
 class WorkflowCreate(BaseModel):
    name: str = Field(..., min_length=1)
-    kind: Literal["image", "video"] = "image"
+    kind: Literal["image", "video"] | None = None
    workflow_json: dict[str, Any]
    description: str | None = None
    prompt_profile: Literal["prose", "minimax_h3_ref"] | None = None
+    # Optional binding to a ComfyUI connection id (settings.comfyui_endpoints).
+    endpoint_id: str | None = None
+    # HEL-636: five-way usage. Given by the import confirm page (possibly a
+    # user correction of the auto judgment); when absent it is classified
+    # from the graph, and indeterminate workflows stay pending (disabled).
+    usage: WorkflowUsageKind | None = None
+    usage_source: Literal["auto", "user"] | None = None
+    # Schema corrected on the confirm page (manual role overrides included).
+    input_schema: list[dict[str, Any]] | None = None
+    # HEL-638: explicit output-node designation for unknown custom output
+    # nodes — [{nodeId, kind: image|video}]. Required before a workflow
+    # with unknown outputs can be enabled or generated.
+    output_map: list[dict[str, Any]] | None = None
+    output_map_source: Literal["auto", "user"] | None = None


 class WorkflowUpdate(BaseModel):
@@ -208,10 +235,84 @@ class WorkflowUpdate(BaseModel):
    description: str | None = None
    prompt_profile: Literal["prose", "minimax_h3_ref"] | None = None
    is_enabled: bool | None = None
+    endpoint_id: str | None = None
+    usage: WorkflowUsageKind | None = None
+    usage_source: Literal["auto", "user"] | None = None
+    input_schema: list[dict[str, Any]] | None = None
+    # HEL-638: set/replace the user output mapping; an explicit empty list
+    # resets the workflow to pending confirmation.
+    output_map: list[dict[str, Any]] | None = None
+    output_map_source: Literal["auto", "user"] | None = None
+    # HEL-681 (S2): library metadata fields.
+    favorite: bool | None = None
+    tags: list[str] | None = None
+    category: str | None = None
+    model_family: str | None = None
+
+
+class WorkflowUIFileItem(BaseModel):
+    """One UI-format file for the HEL-681 convert/import pipeline."""
+
+    name: str | None = None
+    # repo-relative path (category/model-family evidence); display name
+    # defaults to the file stem.
+    source_path: str | None = None
+    workflow_json: dict[str, Any]
+    # optional human confirmations from the import wizard (S3): a settled
+    # usage and a corrected schema let warn files import enabled.
+    usage: WorkflowUsageKind | None = None
+    input_schema: list[dict[str, Any]] | None = None
+    output_map: list[dict[str, Any]] | None = None
+    description: str | None = None
+    tags: list[str] | None = None
+
+
+class WorkflowConvertRequest(BaseModel):
+    """Dry-run: per-file ok/warn/fail + suggested metadata, nothing stored."""
+
+    files: list[WorkflowUIFileItem]
+    # Include the converted API JSON per file (default on for small batches;
+    # the 146-file report leaves it off to keep the payload sane).
+    include_workflows: bool = False
+    # L2 preflight against a real ComfyUI (opt-in; needs a connection).
+    endpoint_id: str | None = None
+    refresh: bool = False
+
+
+class WorkflowImportBatchRequest(BaseModel):
+    """Commit: convert UI files and insert, skipping conflicts. Idempotent."""
+
+    files: list[WorkflowUIFileItem]
+
+
+class WorkflowImportScanRequest(BaseModel):
+    """Scan a server-side directory of UI JSONs (repo example library)."""
+
+    root: str = "example_ComfyUI_workflows"
+    # Set to preview what would import (same shape as /convert) — the safe
+    # default for a first run against the 146-file library.
+    dry_run: bool = True


 class WorkflowAnalyze(BaseModel):
    workflow_json: dict[str, Any]
+    # HEL-643: optional target connection — given, the analyze response also
+    # carries an L2 connection check (node/model availability via /object_info).
+    endpoint_id: str | None = None
+    # Bypass the /object_info cache (user re-checks after installing nodes).
+    refresh: bool = False
+
+
+class WorkflowCheckRequest(BaseModel):
+    """L2 re-check of a saved workflow against a live ComfyUI (HEL-643)."""
+    endpoint_id: str | None = None
+    refresh: bool = False
+
+
+class WorkflowTestRequest(BaseModel):
+    """Launch one real test run of a workflow (HEL-643 L3)."""
+    endpoint_id: str | None = None
+    input_values: dict[str, Any] = Field(default_factory=dict)


 class JobCreate(BaseModel):
@@ -19,7 +19,8 @@ class QueueManager:
        conn = get_db(config.settings.db_path)
        try:
            cur = conn.execute(
-                "UPDATE jobs SET status = 'pending', started_at = NULL WHERE status = 'running'"
+                "UPDATE jobs SET status = 'pending', started_at = NULL, phase = NULL, "
+                "comfy_prompt_id = NULL WHERE status = 'running'"
            )
            conn.commit()
            return cur.rowcount
@@ -35,22 +36,60 @@ class QueueManager:
        scene_id: int | None = None,
        clip_id: int | None = None,
        payload: dict[str, Any] | None = None,
+        origin: str = "user",
    ) -> dict[str, Any]:
        conn = get_db(config.settings.db_path)
        try:
+            payload = self._stamp_endpoint(conn, workflow_id, dict(payload or {}))
            cur = conn.execute(
                """
-                INSERT INTO jobs (project_id, scene_id, clip_id, kind, workflow_id, status, payload_json)
-                VALUES (?, ?, ?, ?, ?, 'pending', ?)
+                INSERT INTO jobs (project_id, scene_id, clip_id, kind, workflow_id,
+                                  status, payload_json, origin)
+                VALUES (?, ?, ?, ?, ?, 'pending', ?, ?)
                """,
-                (project_id, scene_id, clip_id, kind, workflow_id, json.dumps(payload or {})),
+                (project_id, scene_id, clip_id, kind, workflow_id, json.dumps(payload), origin),
            )
+            # HEL-681: every enqueued job counts as a use (最近使用).
+            if workflow_id is not None:
+                conn.execute(
+                    "UPDATE workflows SET last_used_at = CURRENT_TIMESTAMP WHERE id = ?",
+                    (workflow_id,),
+                )
            conn.commit()
            row = conn.execute("SELECT * FROM jobs WHERE id = ?", (cur.lastrowid,)).fetchone()
            return row_to_dict(row)
        finally:
            conn.close()

+    @staticmethod
+    def _stamp_endpoint(
+        conn, workflow_id: int | None, payload: dict[str, Any]
+    ) -> dict[str, Any]:
+        """Snapshot the target ComfyUI connection into the job payload (HEL-611).
+
+        Every generation path (flow video/assets, playground, agent tools)
+        funnels through here, so they all share one execution route.
+        Priority: an explicit payload ``endpoint_id`` → the workflow's
+        bound connection → the active connection. The snapshot carries
+        id/name/base_url only — the token is resolved server-side by
+        the worker at run time.
+        """
+        from calliope.comfyui.endpoints import endpoint_snapshot
+
+        if payload.get("endpoint"):
+            return payload
+        endpoint_id = payload.get("endpoint_id")
+        if not endpoint_id and workflow_id:
+            try:
+                row = conn.execute(
+                    "SELECT endpoint_id FROM workflows WHERE id = ?", (workflow_id,)
+                ).fetchone()
+                endpoint_id = row["endpoint_id"] if row else None
+            except Exception:
+                endpoint_id = None  # pre-migration DB: column may be missing
+        payload["endpoint"] = endpoint_snapshot(endpoint_id)
+        return payload
+
    def claim_next(self) -> dict[str, Any] | None:
        if self.paused:
            return None
@@ -75,6 +114,20 @@ class QueueManager:
        finally:
            conn.close()

+    def set_phase(self, job_id: int, phase: str, comfy_prompt_id: str | None = None) -> None:
+        conn = get_db(config.settings.db_path)
+        try:
+            if comfy_prompt_id:
+                conn.execute(
+                    "UPDATE jobs SET phase = ?, comfy_prompt_id = ? WHERE id = ?",
+                    (phase, comfy_prompt_id, job_id),
+                )
+            else:
+                conn.execute("UPDATE jobs SET phase = ? WHERE id = ?", (phase, job_id))
+            conn.commit()
+        finally:
+            conn.close()
+
    def mark_done(self, job_id: int, output_paths: list[str]) -> None:
        conn = get_db(config.settings.db_path)
        try:
@@ -112,7 +165,7 @@ class QueueManager:
            conn.execute(
                """
                UPDATE jobs SET status = 'pending', error = NULL, started_at = NULL,
-                completed_at = NULL WHERE id = ?
+                completed_at = NULL, phase = NULL, comfy_prompt_id = NULL WHERE id = ?
                """,
                (job_id,),
            )
@@ -8,9 +8,12 @@ from typing import Any

 from pathlib import Path as _fs_path

+import httpx
+
 from calliope import config
 from calliope.comfyui.client import ComfyUIClient
 from calliope.comfyui.dry_run import write_placeholder_mp4, write_placeholder_png
+from calliope.comfyui.lint import blocking_problem
 from calliope.comfyui.parser import parse_dynamic_inputs
 from calliope.comfyui.patcher import patch_workflow
 from calliope.comfyui.roles import input_has_role
@@ -18,10 +21,37 @@ from calliope.db import get_db
 from calliope.events.bus import event_bus
 from calliope.export.runner import run_export
 from calliope.queue.manager import queue_manager
+from calliope.queue.workflow_test import (
+    TEST_ORIGIN,
+    prune_workflow_tests,
+    workflow_test_dir,
+)

 logger = logging.getLogger("calliope.worker")


+def _comfy_messages(messages: list[Any]) -> str:
+    """Pull the readable part out of ComfyUI's history status messages."""
+    parts: list[str] = []
+    for msg in messages:
+        if not (isinstance(msg, (list, tuple)) and len(msg) == 2):
+            continue
+        body = msg[1] if isinstance(msg[1], dict) else {}
+        node = body.get("node_type") or body.get("node_id") or "?"
+        if msg[0] == "execution_error":
+            reason = body.get("exception_message") or body.get("exception_type") or "未知错误"
+            parts.append(f"节点 {node}：{str(reason).strip()}")
+        elif msg[0] == "execution_interrupted":
+            parts.append(f"任务在节点 {node} 处被中断（在 ComfyUI 端被取消，或 ComfyUI 已重启）")
+    return "；".join(parts) or "ComfyUI 未给出原因"
+
+
+# /queue lookups that must agree before a prompt counts as lost, and /history
+# or /queue request failures in a row before the job gives up.
+_MISSING_POLLS_LIMIT = 3
+_POLL_ERRORS_LIMIT = 5
+
+
 class _CancelledByUser(RuntimeError):
    """The job row was flipped to 'cancelled' out-of-band (Stop button).
    The row already carries the terminal state; the loop must not overwrite
@@ -79,6 +109,7 @@ class QueueWorker:
                        job_payload = json.loads(job["payload_json"] or "{}")
                    except (json.JSONDecodeError, TypeError):
                        job_payload = {}
+                    row = queue_manager.get_job(job["id"]) or {}
                    await event_bus.publish(
                        "job.completed",
                        {
@@ -90,6 +121,9 @@ class QueueWorker:
                            # Source stamp lets the UI attribute sandbox jobs
                            # to their enqueuer without racing the jobs poll.
                            "source": job_payload.get("source"),
+                            "comfy_prompt_id": row.get("comfy_prompt_id"),
+                            # Placeholder output — ComfyUI was never called.
+                            "dry_run": row.get("phase") == "dry_run",
                            "message": f"{self._job_label(job)} · {len(outputs)} file(s)",
                        },
                    )
@@ -135,6 +169,16 @@ class QueueWorker:
                            "message": f"{self._job_label(job)} failed",
                        },
                    )
+                if str(job.get("origin") or "") == TEST_ORIGIN and job.get("workflow_id"):
+                    # Retention: keep only the newest records (and their
+                    # artifacts) per workflow (HEL-643).
+                    try:
+                        prune_workflow_tests(int(job["workflow_id"]))
+                    except Exception:
+                        logger.exception(
+                            "Pruning workflow-test records for workflow %s failed",
+                            job["workflow_id"],
+                        )
            except Exception:
                logger.exception("Worker loop error")
                await asyncio.sleep(config.settings.queue_poll_interval_sec)
@@ -144,6 +188,7 @@ class QueueWorker:
        payload = json.loads(job["payload_json"] or "{}")
        project_id = job["project_id"]
        kind = job["kind"]
+        is_test = str(job.get("origin") or "") == TEST_ORIGIN
        use_dry = bool(config.settings.dry_run)

        if kind == "export":
@@ -151,22 +196,47 @@ class QueueWorker:
            # and dry-run writes an mp4 placeholder (not the default PNG).
            return await run_export(job, payload, event_bus, dry_run=use_dry)

-        client = ComfyUIClient(config.settings.comfyui_base_url)
+        base_url, headers, endpoint_label = self._resolve_endpoint(payload)
+        client = ComfyUIClient(base_url, headers=headers)
        try:
+            # A workflow test must be a REAL run — a dry-run placeholder that
+            # passes as "测试通过" is exactly the false positive HEL-643 bans.
+            if use_dry and is_test:
+                raise RuntimeError(
+                    "测试工作流必须真实运行：当前设置开启了 Dry-run（占位模式），"
+                    "请到「设置」关闭 Dry-run 后重新测试"
+                )
            if use_dry:
+                queue_manager.set_phase(job["id"], "dry_run")
                return await self._dry_run(job, payload)

+            queue_manager.set_phase(job["id"], "connecting")
            healthy = await client.health()
            if not healthy:
                raise RuntimeError(
-                    f"ComfyUI unreachable at {config.settings.comfyui_base_url}. "
-                    "Start ComfyUI, or enable Dry-run in Settings only for placeholder testing."
+                    f"ComfyUI 不可达（{endpoint_label}）。请在「ComfyUI 连接」页测试并修正该连接，"
+                    "或在设置中开启 Dry-run 做占位测试。"
                )

            workflow_id = job.get("workflow_id") or payload.get("workflow_id")
-            workflow = self._load_workflow(workflow_id)
-            if not workflow:
-                raise RuntimeError("No workflow found for job")
+            workflow_row = self._load_workflow_row(workflow_id)
+            if not workflow_row:
+                raise RuntimeError(
+                    "找不到该任务使用的工作流（可能已被删除），请重新选择工作流后再生成"
+                )
+            workflow = workflow_row["workflow_json"]
+            broken = blocking_problem(workflow)
+            if broken:
+                raise RuntimeError(broken)
+
+            # HEL-638: harvest only the confirmed output nodes. A workflow
+            # with unknown custom outputs and no user mapping must not run.
+            node_kinds = self._output_node_kinds(workflow_row)
+            if node_kinds is None:
+                raise RuntimeError(
+                    "该工作流含无法识别的自定义输出节点，尚未指定输出节点及媒体类型，"
+                    "请到「ComfyUI 连接」页确认后再生成"
+                )

            input_values = payload.get("input_values") or {}
            if payload.get("continue_source") and kind == "video":
@@ -176,20 +246,66 @@ class QueueWorker:
            patched = patch_workflow(workflow, input_values)
            patched = await client.prepare_media_inputs(patched)
            prompt_id = await client.queue_prompt(patched)
+            queue_manager.set_phase(job["id"], "comfy_queued", prompt_id)
+            await event_bus.publish(
+                "job.progress",
+                {
+                    "job_id": job["id"],
+                    "prompt_id": prompt_id,
+                    "phase": "comfy_queued",
+                    "message": f"ComfyUI 已接收任务（ID {prompt_id}）",
+                },
+            )

            history = await self._poll_history(client, prompt_id, job["id"])
            if not history:
                if queue_manager.is_cancelled(job["id"]):
                    raise _CancelledByUser()
-                raise RuntimeError("Timed out waiting for ComfyUI history")
+                raise RuntimeError(
+                    f"等待 ComfyUI 出结果超时（任务 ID {prompt_id}）：可在「设置 → 队列」调大超时，"
+                    "或到 ComfyUI 检查该任务"
+                )

            status = history.get("status") or {}
            if status.get("status_str") == "error" or status.get("completed") is False:
                messages = status.get("messages") or []
-                raise RuntimeError(f"ComfyUI error: {messages}")
+                raise RuntimeError(
+                    f"ComfyUI 执行出错（任务 ID {prompt_id}）：{_comfy_messages(messages)}"
+                )

-            outputs_meta = client.extract_outputs(history)
-            dest_dir = config.settings.assets_dir / str(project_id) / kind
+            outputs_meta = client.extract_outputs(history, node_kinds=node_kinds)
+            saved = [m for m in outputs_meta if m.get("type") == "output"]
+            outputs_meta = saved or outputs_meta
+            if not outputs_meta:
+                checked = "、".join(sorted(node_kinds))
+                raise RuntimeError(
+                    f"ComfyUI 显示任务已结束（任务 ID {prompt_id}），但没有返回任何图片或视频，"
+                    "不算生成完成。已按输出映射检查节点：" f"{checked}；"
+                    "请到 ComfyUI 历史中核对该任务，并确认所指定的输出节点正确。"
+                )
+            mismatch = next(
+                (
+                    m
+                    for m in outputs_meta
+                    if m.get("media_kind") and m["media_kind"] != node_kinds.get(m["node_id"])
+                ),
+                None,
+            )
+            if mismatch:
+                want = node_kinds.get(mismatch["node_id"])
+                raise RuntimeError(
+                    f"输出节点 {mismatch['node_id']} 的媒体类型与映射不符"
+                    f"（映射为{'视频' if want == 'video' else '图片'}，"
+                    f"实际返回 {mismatch['filename']}），任务不算生成完成。"
+                    "请到「ComfyUI 连接」页修正该节点的媒体类型。"
+                )
+            queue_manager.set_phase(job["id"], "saving")
+            if is_test:
+                # Test artifacts live in a scratch dir, isolated from project
+                # media and never written back to entities (HEL-643).
+                dest_dir = workflow_test_dir(int(workflow_id))
+            else:
+                dest_dir = config.settings.assets_dir / str(project_id) / kind
            dest_dir.mkdir(parents=True, exist_ok=True)
            paths: list[str] = []
            for meta in outputs_meta:
@@ -203,11 +319,44 @@ class QueueWorker:
                )
                paths.append(str(dest))

-            self._apply_outputs_to_entities(job, payload, paths)
+            if not is_test:
+                self._apply_outputs_to_entities(job, payload, paths)
+            queue_manager.set_phase(job["id"], "finished")
            return paths
        finally:
            await client.close()

+    @staticmethod
+    def _resolve_endpoint(payload: dict[str, Any]) -> tuple[str, dict[str, str], str]:
+        """Pick the ComfyUI address for THIS job (HEL-611).
+
+        Priority: the payload's endpoint snapshot id, still present in
+        config (fresh URL + token win) → the snapshot's URL when the id was
+        deleted (token lost — history still explains the address) → the
+        active connection (snapshots from before multi-connection, or jobs
+        enqueued without one).
+        """
+        from calliope.comfyui.endpoints import build_auth_headers
+
+        snapshot = payload.get("endpoint") or {}
+        if isinstance(snapshot, dict) and snapshot.get("id"):
+            endpoint = config.settings.resolve_comfyui_endpoint(str(snapshot["id"]))
+            if endpoint is not None and endpoint.get("id") == snapshot.get("id"):
+                base_url = str(endpoint.get("base_url") or "")
+                label = f"{endpoint.get('name') or '连接'} · {base_url}"
+                return base_url, build_auth_headers(endpoint), label
+        if isinstance(snapshot, dict) and snapshot.get("base_url"):
+            # Dangling id: run against the snapshotted address, no token.
+            base_url = str(snapshot["base_url"])
+            label = f"{snapshot.get('name') or '已删除连接'} · {base_url}"
+            return base_url, {}, label
+        endpoint = config.settings.resolve_comfyui_endpoint(None)
+        if endpoint is None:
+            raise RuntimeError("没有可用的 ComfyUI 连接：请到「ComfyUI 连接」页添加。")
+        base_url = str(endpoint.get("base_url") or "")
+        label = f"{endpoint.get('name') or '默认连接'} · {base_url}"
+        return base_url, build_auth_headers(endpoint), label
+
    async def _resolve_continue_source(
        self,
        job: dict[str, Any],
@@ -312,6 +461,9 @@ class QueueWorker:
        # configurable (default 30 min) instead of a hardcoded 600 seconds.
        attempts = None if timeout <= 0 else int(timeout / interval)
        n = 0
+        phase = "comfy_queued"
+        missing = 0
+        errors = 0
        while attempts is None or n < attempts:
            n += 1
            if self._stop.is_set():
@@ -322,17 +474,51 @@ class QueueWorker:
            if queue_manager.is_cancelled(job_id):
                await client.interrupt()
                return None
-            history = await client.get_history(prompt_id)
-            if history:
-                return history
-            await asyncio.sleep(interval)
+            try:
+                history = await client.get_history(prompt_id)
+                if history:
+                    return history
+                where, ahead = await client.locate_prompt(prompt_id)
+            except httpx.HTTPError as exc:
+                errors += 1
+                if errors >= _POLL_ERRORS_LIMIT:
+                    raise RuntimeError(
+                        f"连续 {errors} 次无法从 ComfyUI 查询任务状态（任务 ID {prompt_id}）："
+                        f"{exc or type(exc).__name__}"
+                    ) from exc
+                await asyncio.sleep(interval)
+                continue
+            errors = 0
+            if where == "missing":
+                missing += 1
+                if missing >= _MISSING_POLLS_LIMIT:
+                    raise RuntimeError(
+                        f"ComfyUI 的队列和历史里都找不到该任务（任务 ID {prompt_id}），"
+                        "可能 ComfyUI 已重启或任务被清除，没有产出结果"
+                    )
+            else:
+                missing = 0
+            if where == "running":
+                phase = "comfy_running"
+                message = f"ComfyUI 正在执行（任务 ID {prompt_id}）"
+            elif where == "pending":
+                phase = "comfy_queued"
+                message = f"ComfyUI 排队中，前面还有 {ahead} 个任务（任务 ID {prompt_id}）"
+            else:
+                message = f"等待 ComfyUI 返回结果（任务 ID {prompt_id}）"
+            if job_id is not None:
+                queue_manager.set_phase(job_id, phase)
            await event_bus.publish(
                "job.progress",
                {
+                    "job_id": job_id,
                    "prompt_id": prompt_id,
-                    "message": f"Waiting on ComfyUI ({prompt_id[:8]}…)",
+                    "phase": phase,
+                    "queue_ahead": ahead if where == "pending" else None,
+                    "message": message,
                },
            )
+            await asyncio.sleep(interval)
        return None

    def _mark_project_completed(self, project_id: int) -> None:
@@ -347,20 +533,45 @@ class QueueWorker:
        finally:
            conn.close()

-    def _load_workflow(self, workflow_id: int | None) -> dict[str, Any] | None:
+    def _load_workflow_row(self, workflow_id: int | None) -> dict[str, Any] | None:
        if not workflow_id:
            return None
        conn = get_db(config.settings.db_path)
        try:
            row = conn.execute(
-                "SELECT workflow_json FROM workflows WHERE id = ?", (workflow_id,)
+                "SELECT workflow_json, output_map, output_map_source FROM workflows"
+                " WHERE id = ?",
+                (workflow_id,),
            ).fetchone()
            if not row:
                return None
-            return json.loads(row["workflow_json"])
+            return {
+                "workflow_json": json.loads(row["workflow_json"]),
+                "output_map": row["output_map"],
+                "output_map_source": row["output_map_source"],
+            }
        finally:
            conn.close()

+    @staticmethod
+    def _output_node_kinds(workflow_row: dict[str, Any]) -> dict[str, str] | None:
+        """Confirmed {nodeId: image|video} for this workflow, or None when
+        the outputs are not confirmed (unknown nodes, no user mapping)."""
+        from calliope.comfyui.output_map import mapping_problem, resolve_output_map
+
+        workflow = workflow_row["workflow_json"]
+        problem = mapping_problem(
+            workflow, workflow_row.get("output_map"), workflow_row.get("output_map_source")
+        )
+        if problem:
+            return None
+        entries, _source = resolve_output_map(
+            workflow_row.get("output_map"),
+            workflow_row.get("output_map_source"),
+            workflow,
+        )
+        return {str(e["nodeId"]): str(e["kind"]) for e in entries} or None
+
    def _job_label(self, job: dict[str, Any]) -> str:
        payload = json.loads(job.get("payload_json") or "{}")
        kind = job.get("kind") or "job"
@@ -0,0 +1,180 @@
+"""Workflow-test job helpers (HEL-643).
+
+A test job (jobs.origin = 'workflow_test') runs the FULL real pipeline —
+queue → ComfyUI → outputs — but its artifacts are isolated from project
+entities: files land under ``assets/_workflow_test/{workflow_id}/`` and are
+never written back to characters/locations/scenes/clips.
+
+This module owns the artifact directory, the retention policy (keep the
+newest N records per workflow) and the purge paths used by "清除测试记录"
+and workflow deletion.
+"""
+from __future__ import annotations
+
+import json
+import logging
+import shutil
+from pathlib import Path
+from typing import Any
+
+from calliope import config
+from calliope.db import get_db
+
+logger = logging.getLogger("calliope.queue")
+
+TEST_ORIGIN = "workflow_test"
+TEST_SOURCE = "workflow_test"
+# Records (and artifacts) kept per workflow before older ones are pruned.
+TEST_KEEP = 5
+
+
+def workflow_test_dir(workflow_id: int) -> Path:
+    return config.settings.assets_dir / "_workflow_test" / str(workflow_id)
+
+
+def _safe_unlink(path_str: str) -> bool:
+    """Delete a file if it resolves under assets_dir (missing = already gone)."""
+    try:
+        target = Path(path_str).resolve()
+        target.relative_to(config.settings.assets_dir.resolve())
+    except (ValueError, OSError):
+        return False
+    if not target.is_file():
+        return False
+    try:
+        target.unlink()
+        return True
+    except OSError:
+        return False
+
+
+def _unlink_job_outputs(job: dict[str, Any]) -> None:
+    try:
+        paths = json.loads(job.get("output_paths_json") or "[]")
+    except (json.JSONDecodeError, TypeError):
+        return
+    if not isinstance(paths, list):
+        return
+    for p in paths:
+        if isinstance(p, str) and p.strip():
+            _safe_unlink(p)
+
+
+def _remove_test_dir_if_empty(workflow_id: int) -> None:
+    d = workflow_test_dir(workflow_id)
+    try:
+        if d.is_dir() and not any(d.iterdir()):
+            d.rmdir()
+    except OSError:
+        pass
+
+
+def _test_job_public(job: dict[str, Any]) -> dict[str, Any]:
+    out = dict(job)
+    out["payload"] = json.loads(job.get("payload_json") or "{}")
+    out["output_paths"] = json.loads(job.get("output_paths_json") or "[]")
+    out.pop("payload_json", None)
+    out.pop("output_paths_json", None)
+    return out
+
+
+def list_test_jobs(workflow_id: int, limit: int = 20) -> list[dict[str, Any]]:
+    conn = get_db(config.settings.db_path)
+    try:
+        rows = conn.execute(
+            "SELECT * FROM jobs WHERE workflow_id = ? AND origin = ?"
+            " ORDER BY id DESC LIMIT ?",
+            (workflow_id, TEST_ORIGIN, limit),
+        ).fetchall()
+        return [_test_job_public(dict(r)) for r in rows]
+    finally:
+        conn.close()
+
+
+def find_active_test_job(workflow_id: int, endpoint_id: str | None) -> dict[str, Any] | None:
+    """The unfinished test job for (workflow, endpoint), if one exists.
+
+    Idempotency guard for the "测试工作流" button: a second click re-uses the
+    in-flight job instead of enqueuing a duplicate.
+    """
+    conn = get_db(config.settings.db_path)
+    try:
+        rows = conn.execute(
+            "SELECT * FROM jobs WHERE workflow_id = ? AND origin = ?"
+            " AND status IN ('pending', 'running') ORDER BY id DESC",
+            (workflow_id, TEST_ORIGIN),
+        ).fetchall()
+    finally:
+        conn.close()
+    for r in rows:
+        job = dict(r)
+        try:
+            payload = json.loads(job.get("payload_json") or "{}")
+        except (json.JSONDecodeError, TypeError):
+            payload = {}
+        snap = payload.get("endpoint") or {}
+        if not isinstance(snap, dict):
+            snap = {}
+        if (snap.get("id") or None) == (endpoint_id or None):
+            return _test_job_public(job)
+    return None
+
+
+def prune_workflow_tests(workflow_id: int, keep: int = TEST_KEEP) -> int:
+    """Keep only the newest ``keep`` test records (older rows + files go)."""
+    conn = get_db(config.settings.db_path)
+    try:
+        rows = conn.execute(
+            "SELECT * FROM jobs WHERE workflow_id = ? AND origin = ?"
+            " ORDER BY id DESC LIMIT -1 OFFSET ?",
+            (workflow_id, TEST_ORIGIN, max(keep, 0)),
+        ).fetchall()
+        removed = 0
+        for r in rows:
+            job = dict(r)
+            if job.get("status") in ("pending", "running"):
+                continue
+            _unlink_job_outputs(job)
+            conn.execute("DELETE FROM jobs WHERE id = ?", (job["id"],))
+            removed += 1
+        conn.commit()
+    finally:
+        conn.close()
+    _remove_test_dir_if_empty(workflow_id)
+    if removed:
+        logger.info("Pruned %s old workflow-test records for workflow %s", removed, workflow_id)
+    return removed
+
+
+def purge_workflow_tests(workflow_id: int, *, allow_active: bool = False) -> int:
+    """Delete EVERY test record and artifact for a workflow.
+
+    Returns the removed row count; raises RuntimeError when an unfinished
+    test job is still in flight (unless ``allow_active``).
+    """
+    conn = get_db(config.settings.db_path)
+    try:
+        if not allow_active:
+            active = conn.execute(
+                "SELECT COUNT(*) AS n FROM jobs WHERE workflow_id = ? AND origin = ?"
+                " AND status IN ('pending', 'running')",
+                (workflow_id, TEST_ORIGIN),
+            ).fetchone()["n"]
+            if active:
+                raise RuntimeError(
+                    f"该工作流还有 {active} 个进行中的测试任务，请先等待完成或取消，再清除测试记录"
+                )
+        rows = conn.execute(
+            "SELECT * FROM jobs WHERE workflow_id = ? AND origin = ?",
+            (workflow_id, TEST_ORIGIN),
+        ).fetchall()
+        removed = 0
+        for r in rows:
+            _unlink_job_outputs(dict(r))
+            conn.execute("DELETE FROM jobs WHERE id = ?", (r["id"],))
+            removed += 1
+        conn.commit()
+    finally:
+        conn.close()
+    shutil.rmtree(workflow_test_dir(workflow_id), ignore_errors=True)
+    return removed
@@ -21,6 +21,9 @@ class SessionCreate(BaseModel):
    # (Build Scene's per-scene sessions). Scene-origin sessions are excluded
    # from the generic session list so they never appear in the AI Canvas rail.
    origin: str = "chat"
+    # WHICH named agent (剧本创作 etc., HEL-613) owns the session; None = a
+    # plain harness chat. Locked at creation; drives persona + LLM role.
+    agent_key: str | None = None

    @field_validator("title")
    @classmethod
@@ -36,6 +39,17 @@ class SessionCreate(BaseModel):
            raise ValueError("origin must be 'chat' or 'scene'")
        return v

+    @field_validator("agent_key")
+    @classmethod
+    def _bounded_agent_key(cls, v: str | None) -> str | None:
+        if v is None or v == "":
+            return None
+        from calliope.agent.agents_registry import AGENT_KEYS
+
+        if v not in AGENT_KEYS:
+            raise ValueError(f"agent_key must be one of {list(AGENT_KEYS)}")
+        return v
+

 class SessionPatch(BaseModel):
    title: str | None = None
@@ -171,14 +185,22 @@ async def list_sessions(
    project_id: int | None = None,
    origin: str | None = None,
    include_scene: bool = False,
+    agent_key: str | None = None,
 ) -> list[dict[str, Any]]:
    """Sessions for the sidebars. Scene-origin sessions (Build Scene's
    per-scene chats) are excluded unless asked for by origin or flag — they
-    are Build Scene's rail entries, not AI Canvas chats."""
+    are Build Scene's rail entries, not AI Canvas chats. Named-agent
+    sessions (HEL-613) follow the same rule: hidden from the generic list
+    unless the caller filters by agent_key (the 智能体 page does)."""
    conn = get_db(settings.db_path)
    try:
        where: list[str] = []
        params: list[Any] = []
+        if agent_key is not None and agent_key != "":
+            where.append("agent_key = ?")
+            params.append(agent_key)
+        else:
+            where.append("agent_key IS NULL")
        if project_id is not None:
            where.append("project_id = ?")
            params.append(project_id)
@@ -214,9 +236,10 @@ async def create_session(payload: SessionCreate) -> dict[str, Any]:
                "SELECT id FROM projects WHERE id = ?", (payload.project_id,)
            ).fetchone():
                raise HTTPException(status_code=404, detail="Project not found")
+        origin = "chat" if payload.agent_key else payload.origin
        cur = conn.execute(
-            "INSERT INTO agent_sessions (title, project_id, origin) VALUES (?, ?, ?)",
-            (payload.title, payload.project_id, payload.origin),
+            "INSERT INTO agent_sessions (title, project_id, origin, agent_key) VALUES (?, ?, ?, ?)",
+            (payload.title, payload.project_id, origin, payload.agent_key),
        )
        conn.commit()
        row = conn.execute("SELECT * FROM agent_sessions WHERE id = ?", (cur.lastrowid,)).fetchone()
@@ -259,7 +282,19 @@ async def get_session(session_id: int) -> dict[str, Any]:

    session_log.backfill_from_messages(session_id)
    events = session_log.read_events(session_id)
-    session["messages"] = _rows_to_messages(session_log.derive_chat_rows(events))
+    rows = _rows_to_messages(session_log.derive_chat_rows(events))
+    if session.get("agent_key"):
+        # Named-agent session (HEL-613): the loop logs main replies without
+        # agent_name — stamp the owning agent so bubbles/labels match. (The
+        # live SSE mirror in the runner applies the same stamp.)
+        from calliope.agent.agents_registry import AGENTS
+
+        owner = AGENTS.get(session["agent_key"], {}).get("name")
+        if owner:
+            for row in rows:
+                if row.get("role") == "assistant" and not row.get("agent_name"):
+                    row["agent_name"] = owner
+    session["messages"] = rows
    session["plan"] = session_log.derive_plan(events)
    return session

@@ -505,13 +540,166 @@ async def delete_memory(memory_id: int) -> dict[str, Any]:
    return {"ok": True}


-@router.get("/skills")
-async def list_skills() -> list[dict[str, Any]]:
-    """Frontmatter-only skill list for the composer's `/` typeahead (same
-    view the agent's list_skills tool sees; no file bodies)."""
-    from calliope.agent.skills_store import list_skills as store_list_skills
+@router.get("/agents")
+async def list_named_agents() -> list[dict[str, Any]]:
+    """The five named agents (HEL-613) with their enabled-skill counts —
+    powers the 智能体 page's left column. Names/personas are server-side."""
+    from calliope.agent.agents_registry import AGENTS, public_list
+    from calliope.agent.skills_store import (
+        skill_binding_map,
+        skill_enable_states,
+    )

-    return store_list_skills()
+    bindings = skill_binding_map()
+    enabled = skill_enable_states()
+    out: list[dict[str, Any]] = []
+    for info in public_list():
+        count = sum(
+            1
+            for skill, per_agent in bindings.items()
+            if per_agent.get(info["key"]) is True and enabled.get(skill, True)
+        )
+        info = {**info, "skill_count": count}
+        info["model_profile_id"] = (settings.agent_llm_assignments or {}).get(
+            AGENTS[info["key"]]["llm_role"]
+        )
+        out.append(info)
+    return out
+
+
+@router.get("/skills")
+async def list_skills(all: bool = False) -> list[dict[str, Any]]:
+    """Frontmatter-only skill list for the composer's `/` typeahead (same
+    view the agent's list_skills tool sees; no file bodies). `all=true` is
+    the management view (HEL-613): every skill, unlimited, with enable
+    flags and per-agent assignment."""
+    from calliope.agent.skills_store import (
+        list_skills as store_list_skills,
+    )
+    from calliope.agent.skills_store import (
+        skill_binding_map,
+        skill_enable_states,
+    )
+
+    skills = store_list_skills(cap=None) if all else store_list_skills()
+    if not all:
+        return skills
+    enabled = skill_enable_states()
+    bindings = skill_binding_map()
+    for s in skills:
+        s["is_enabled"] = enabled.get(s["dir"], True)
+        s["bindings"] = bindings.get(s["dir"], {})
+        s["assigned_count"] = sum(1 for v in s["bindings"].values() if v)
+    return skills
+
+
+class SkillUpsert(BaseModel):
+    description: str = Field(default="", max_length=500)
+    version: str = Field(default="", max_length=40)
+    tags: list[str] = Field(default_factory=list, max_length=12)
+    skill_type: str = ""
+    content: str = Field(default="", max_length=200_000)
+    bindings: dict[str, bool] | None = None
+
+
+class SkillEnablePatch(BaseModel):
+    is_enabled: bool
+
+
+class SkillBindingsPut(BaseModel):
+    bindings: dict[str, bool]
+
+
+@router.put("/skills/{name}")
+async def upsert_skill(name: str, payload: SkillUpsert) -> dict[str, Any]:
+    """Create or edit a user skill: snapshot old → write SKILL.md → apply
+    the assignment matrix in one shot (HEL-613)."""
+    from calliope.agent.agents_registry import AGENT_KEYS
+    from calliope.agent.skills_store import (
+        set_skill_bindings,
+        write_skill,
+    )
+
+    if payload.skill_type and payload.skill_type not in ("template", "knowledge", "rules"):
+        raise HTTPException(status_code=422, detail="skill_type must be template|knowledge|rules")
+    if payload.bindings is not None:
+        unknown = [k for k in payload.bindings if k not in AGENT_KEYS]
+        if unknown:
+            raise HTTPException(
+                status_code=422, detail=f"unknown agent_key(s): {unknown}"
+            )
+    try:
+        summary = write_skill(
+            name,
+            description=payload.description,
+            version=payload.version,
+            tags=payload.tags,
+            skill_type=payload.skill_type,
+            body=payload.content,
+        )
+    except ValueError as exc:
+        raise HTTPException(status_code=422, detail=str(exc)) from exc
+    if payload.bindings is not None:
+        set_skill_bindings(name, payload.bindings)
+    return {"ok": True, "skill": summary}
+
+
+@router.patch("/skills/{name}")
+async def patch_skill(name: str, payload: SkillEnablePatch) -> dict[str, Any]:
+    """Global enable/disable — an disabled skill disappears from every
+    session's discovery list immediately."""
+    from calliope.agent.skills_store import set_skill_enabled
+
+    set_skill_enabled(name, payload.is_enabled)
+    return {"ok": True, "skill": name, "is_enabled": payload.is_enabled}
+
+
+@router.put("/skills/{name}/bindings")
+async def put_skill_bindings(name: str, payload: SkillBindingsPut) -> dict[str, Any]:
+    """Replace the skill's assignment matrix ({agent_key: enabled})."""
+    from calliope.agent.agents_registry import AGENT_KEYS
+    from calliope.agent.skills_store import set_skill_bindings
+
+    unknown = [k for k in payload.bindings if k not in AGENT_KEYS]
+    if unknown:
+        raise HTTPException(status_code=422, detail=f"unknown agent_key(s): {unknown}")
+    set_skill_bindings(name, payload.bindings)
+    return {"ok": True, "skill": name, "bindings": payload.bindings}
+
+
+@router.delete("/skills/{name}")
+async def delete_skill(name: str) -> dict[str, Any]:
+    """Delete a skill: dir + bindings + overrides + version history."""
+    from calliope.agent.skills_store import delete_skill as store_delete
+
+    try:
+        store_delete(name)
+    except ValueError as exc:
+        raise HTTPException(status_code=422, detail=str(exc)) from exc
+    return {"ok": True, "skill": name}
+
+
+@router.get("/skills/{name}/versions")
+async def get_skill_versions(name: str) -> list[dict[str, Any]]:
+    from calliope.agent.skills_store import list_versions
+
+    return list_versions(name)
+
+
+@router.post("/skills/{name}/versions/{version_id}/restore")
+async def restore_skill_version(name: str, version_id: int) -> dict[str, Any]:
+    """Restore a snapshot: the current file is snapshotted first, then the
+    old content is written back verbatim (its frontmatter comes with it)."""
+    from calliope.agent.skills_store import restore_skill_file, version_content
+
+    content = version_content(name, version_id)
+    if content is None:
+        raise HTTPException(status_code=404, detail="Version not found")
+    try:
+        summary = restore_skill_file(name, content)
+    except ValueError as exc:
+        raise HTTPException(status_code=422, detail=str(exc)) from exc
+    return {"ok": True, "skill": summary}


@router.get("/skills/path")
@@ -0,0 +1,369 @@
+"""ComfyUI multi-connection endpoints: CRUD + server-side connectivity test.
+
+HEL-611 / HEL-601 §3. All probes run from the machine hosting this
+workbench (the user's rule: connectivity is judged by the SERVER, not the
+browser). Tokens are stored server-side only and never echoed back.
+"""
+from __future__ import annotations
+
+import ipaddress
+import socket
+import time
+from typing import Any
+from urllib.parse import urlparse
+
+import httpx
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel, Field
+
+from calliope.config import settings
+
+router = APIRouter()
+
+_TEST_TIMEOUT_SEC = 5.0
+_TEST_TIMEOUT_RANGE = (2.0, 15.0)
+
+_AUTH_TYPES = ("none", "bearer", "header")
+
+# SSRF guard (HEL-601 §3.4): http/https only; link-local (incl. cloud
+# metadata 169.254.169.254) and unspecified/multicast/reserved targets are
+# rejected. Loopback is EXPLICITLY allowed — a local ComfyUI is a
+# legitimate target for this desktop tool.
+_BLOCKED_NETWORKS = [
+    ipaddress.ip_network("169.254.0.0/16"),
+    ipaddress.ip_network("0.0.0.0/8"),
+    ipaddress.ip_network("224.0.0.0/4"),
+    ipaddress.ip_network("240.0.0.0/4"),
+    ipaddress.ip_network("255.255.255.255/32"),
+    ipaddress.ip_network("fe80::/10"),
+    ipaddress.ip_network("ff00::/8"),
+]
+
+
+class EndpointIn(BaseModel):
+    id: str | None = None
+    name: str | None = None
+    base_url: str
+    auth_type: str = "none"
+    # Blank/None on edit keeps the stored token (it is never echoed back).
+    auth_token: str | None = None
+    header_name: str | None = None
+    notes: str | None = None
+
+
+class EndpointPatch(BaseModel):
+    name: str | None = None
+    base_url: str | None = None
+    auth_type: str | None = None
+    auth_token: str | None = None
+    header_name: str | None = None
+    notes: str | None = None
+
+
+class EndpointTestIn(BaseModel):
+    endpoint_id: str | None = None
+    # Raw candidate values (unsaved form). Stored values fill the blanks
+    # when endpoint_id is given — the token never needs a round trip.
+    base_url: str | None = None
+    auth_type: str | None = None
+    auth_token: str | None = None
+    header_name: str | None = None
+    timeout_sec: float | None = Field(
+        None, ge=_TEST_TIMEOUT_RANGE[0], le=_TEST_TIMEOUT_RANGE[1]
+    )
+
+
+def _parsed_url(base_url: str) -> tuple[str, str]:
+    url = (base_url or "").strip()
+    if not url:
+        raise HTTPException(status_code=400, detail="API 地址不能为空")
+    # HEL-619: the server validates format as strictly as the UI already
+    # does. A schemeless garbled string used to be silently prefixed with
+    # http:// and then reported as a DNS failure; it is a 400 format error.
+    if "://" not in url or any(ch.isspace() for ch in url):
+        raise HTTPException(status_code=400, detail="地址必须是 http:// 或 https:// 开头的有效 URL")
+    parsed = urlparse(url)
+    if parsed.scheme not in ("http", "https") or not parsed.hostname:
+        raise HTTPException(status_code=400, detail="地址必须是 http:// 或 https:// 开头的有效 URL")
+    return url.rstrip("/"), parsed.hostname
+
+
+def _assert_not_ssrf(hostname: str) -> None:
+    """Reject link-local / metadata / reserved targets (loopback allowed)."""
+    try:
+        addr = ipaddress.ip_address(hostname)
+    except ValueError:
+        addr = None
+    candidates: list[str] = [str(addr)] if addr else _resolve_host(hostname)
+    for cand in candidates:
+        try:
+            ip = ipaddress.ip_address(cand)
+        except ValueError:
+            continue
+        if ip.is_loopback:
+            continue
+        for net in _BLOCKED_NETWORKS:
+            if ip in net:
+                raise HTTPException(
+                    status_code=400,
+                    detail="该地址位于被禁止的网段（链路本地/元数据/保留地址），不允许探测",
+                )
+
+
+def _resolve_host(hostname: str) -> list[str]:
+    try:
+        infos = socket.getaddrinfo(hostname, None, proto=socket.IPPROTO_TCP)
+    except OSError:
+        return []
+    return sorted({info[4][0] for info in infos})
+
+
+def _public_payload() -> dict[str, Any]:
+    data = settings.to_public_dict()
+    return {"endpoints": data["comfyui_endpoints"], "active_id": data["comfyui_active_id"]}
+
+
+def _stored_endpoint(endpoint_id: str) -> dict[str, Any]:
+    settings.ensure_comfyui_endpoints()
+    for ep in settings.comfyui_endpoints:
+        if ep.get("id") == endpoint_id:
+            return ep
+    raise HTTPException(status_code=404, detail="连接不存在")
+
+
+@router.get("/endpoints")
+async def list_endpoints() -> dict[str, Any]:
+    return _public_payload()
+
+
+@router.post("/endpoints")
+async def create_endpoint(payload: EndpointIn) -> dict[str, Any]:
+    base_url, host = _parsed_url(payload.base_url)
+    # HEL-619: the same SSRF guard as the connectivity test applies on
+    # save — otherwise a blocked address can be stored and later probed by
+    # the worker path. Unresolvable hosts still pass (resolution happens
+    # again at probe time).
+    _assert_not_ssrf(host)
+    incoming = [ep for ep in settings.comfyui_endpoints or []]
+    incoming.append(payload.model_dump() | {"base_url": base_url})
+    try:
+        settings.replace_comfyui_endpoints(incoming)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    settings.save_config_file()
+    return _public_payload()
+
+
+@router.patch("/endpoints/{endpoint_id}")
+async def update_endpoint(endpoint_id: str, payload: EndpointPatch) -> dict[str, Any]:
+    _stored_endpoint(endpoint_id)
+    base_url = payload.base_url
+    if base_url is not None:
+        base_url, host = _parsed_url(base_url)
+        _assert_not_ssrf(host)  # same save-time guard as create (HEL-619)
+    patch = payload.model_dump(exclude_unset=True)
+    if base_url is not None:
+        patch["base_url"] = base_url
+    incoming = [
+        {**ep, **patch} if ep.get("id") == endpoint_id else ep
+        for ep in settings.comfyui_endpoints
+    ]
+    try:
+        settings.replace_comfyui_endpoints(incoming)
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+    settings.save_config_file()
+    return _public_payload()
+
+
+@router.delete("/endpoints/{endpoint_id}")
+async def delete_endpoint(endpoint_id: str) -> dict[str, Any]:
+    _stored_endpoint(endpoint_id)
+    remaining = [ep for ep in settings.comfyui_endpoints if ep.get("id") != endpoint_id]
+    if not remaining:
+        raise HTTPException(status_code=400, detail="至少保留一个连接；如需更换请先编辑现有连接")
+    settings.replace_comfyui_endpoints(remaining)
+    settings.save_config_file()
+    return _public_payload()
+
+
+@router.post("/endpoints/{endpoint_id}/activate")
+async def activate_endpoint(endpoint_id: str) -> dict[str, Any]:
+    _stored_endpoint(endpoint_id)
+    settings.comfyui_active_id = endpoint_id
+    settings.apply_active_comfyui()
+    settings.save_config_file()
+    return _public_payload()
+
+
+def _classify_connect_error(exc: httpx.ConnectError) -> tuple[str, str]:
+    """Map a connect failure onto (code, Chinese message).
+
+    httpx collapses socket errors to "All connection attempts failed" on
+    the outer exception — the distinguishing errno lives in the __cause__
+    chain, so classify over the whole chain.
+    """
+    parts: list[str] = [f"{exc.__class__.__name__}: {exc}"]
+    node = exc.__cause__ or exc.__context__
+    seen = {id(exc)}
+    while node is not None and id(node) not in seen:
+        seen.add(id(node))
+        parts.append(f"{node.__class__.__name__}: {node}")
+        node = node.__cause__ or node.__context__
+    text = " | ".join(parts)
+    lowered = text.lower()
+    if (
+        "name or service not known" in lowered
+        or "getaddrinfo" in lowered
+        or "temporary failure in resolution" in lowered
+        or "nodename nor servname" in lowered
+    ):
+        return "dns", "域名解析失败：请检查地址拼写或 DNS"
+    if (
+        "connection refused" in lowered
+        or "errno 111" in lowered
+        or "errno 10061" in lowered
+        or "winerror 10061" in lowered
+    ):
+        return "refused", "连接被拒绝：目标端口没有服务在监听"
+    if "ssl" in lowered or "certificate" in lowered:
+        return "tls", "TLS/证书错误：检查 https 配置或改用 http"
+    if "unreachable" in lowered or "no route to host" in lowered:
+        return "refused", "网络不可达：本机无法路由到该地址"
+    return "connect", f"无法建立连接：{str(exc)[:300]}"
+
+
+@router.post("/endpoints/test")
+async def test_endpoint(payload: EndpointTestIn) -> dict[str, Any]:
+    """Server-side ComfyUI probe: GET /system_stats with error classification."""
+    from calliope.comfyui.endpoints import build_auth_headers
+
+    base_url = (payload.base_url or "").strip()
+    auth_type = (payload.auth_type or "").strip() or None
+    auth_token = (payload.auth_token or "").strip() or None
+    header_name = (payload.header_name or "").strip() or None
+    if payload.endpoint_id:
+        stored = _stored_endpoint(payload.endpoint_id)
+        if not base_url:
+            base_url = str(stored.get("base_url") or "")
+        if auth_type is None:
+            auth_type = str(stored.get("auth_type") or "none")
+        if auth_token is None:
+            token = stored.get("auth_token")
+            auth_token = token if isinstance(token, str) and token.strip() else None
+        if header_name is None:
+            header_name = stored.get("header_name")
+    if not base_url:
+        raise HTTPException(status_code=400, detail="base_url 和 endpoint_id 至少提供一项")
+
+    url, hostname = _parsed_url(base_url)
+    _assert_not_ssrf(hostname)
+
+    headers = build_auth_headers(
+        {
+            "auth_type": auth_type or "none",
+            "auth_token": auth_token,
+            "header_name": header_name,
+        }
+    )
+    timeout_sec = (
+        payload.timeout_sec if payload.timeout_sec is not None else _TEST_TIMEOUT_SEC
+    )
+    timeout_sec = min(max(timeout_sec, _TEST_TIMEOUT_RANGE[0]), _TEST_TIMEOUT_RANGE[1])
+
+    started = time.perf_counter()
+    try:
+        async with httpx.AsyncClient(timeout=timeout_sec, follow_redirects=True) as client:
+            resp = await client.get(f"{url}/system_stats", headers=headers)
+    except httpx.TimeoutException:
+        return {
+            "ok": False,
+            "error": "timeout",
+            "message": f"超时：{timeout_sec:.0f} 秒内没有响应",
+            "timeout_sec": timeout_sec,
+        }
+    except httpx.ConnectError as exc:
+        code, message = _classify_connect_error(exc)
+        return {"ok": False, "error": code, "message": message, "detail": str(exc)[:300]}
+    except httpx.HTTPError as exc:
+        return {
+            "ok": False,
+            "error": "connect",
+            "message": "连接失败",
+            "detail": (str(exc) or exc.__class__.__name__)[:300],
+        }
+    elapsed_ms = int((time.perf_counter() - started) * 1000)
+
+    if resp.status_code in (401, 403):
+        return {
+            "ok": False,
+            "error": "auth",
+            "message": f"鉴权失败（HTTP {resp.status_code}）：请检查访问令牌或鉴权方式",
+        }
+    if resp.status_code == 404:
+        # Reverse proxies sometimes strip /system_stats — probe "/" so the
+        # user learns "reachable, but not confirmed ComfyUI" (HEL-601 risk ①).
+        reachable = False
+        try:
+            async with httpx.AsyncClient(timeout=timeout_sec, follow_redirects=True) as client:
+                root = await client.get(f"{url}/", headers=headers)
+            reachable = root.status_code < 500
+        except httpx.HTTPError:
+            reachable = False
+        if reachable:
+            return {
+                "ok": False,
+                "error": "not_comfyui",
+                "message": "HTTP 可达但未确认是 ComfyUI（/system_stats 不存在）",
+                "elapsed_ms": elapsed_ms,
+            }
+        return {
+            "ok": False,
+            "error": "not_comfyui",
+            "message": "未找到 /system_stats，且根路径不可用",
+        }
+    if resp.status_code >= 500:
+        return {
+            "ok": False,
+            "error": "server",
+            "message": f"目标服务返回错误（HTTP {resp.status_code}）",
+            "elapsed_ms": elapsed_ms,
+        }
+    if resp.status_code >= 400:
+        return {
+            "ok": False,
+            "error": "http",
+            "message": f"请求被拒绝（HTTP {resp.status_code}）",
+            "detail": resp.text[:200].strip(),
+        }
+
+    try:
+        data = resp.json()
+    except ValueError:
+        return {
+            "ok": False,
+            "error": "not_comfyui",
+            "message": "地址连通，但响应不是 ComfyUI（/system_stats 返回非 JSON）",
+            "elapsed_ms": elapsed_ms,
+        }
+    system = data.get("system") if isinstance(data, dict) else None
+    version = None
+    if isinstance(system, dict):
+        version = system.get("comfyui_version")
+    if not version:
+        return {
+            "ok": False,
+            "error": "not_comfyui",
+            "message": "地址连通，但响应不像 ComfyUI（/system_stats 缺少版本字段）",
+            "elapsed_ms": elapsed_ms,
+        }
+    device_name = None
+    devices = data.get("devices") if isinstance(data, dict) else None
+    if isinstance(devices, list) and devices and isinstance(devices[0], dict):
+        device_name = devices[0].get("name") or devices[0].get("type")
+    return {
+        "ok": True,
+        "elapsed_ms": elapsed_ms,
+        "comfyui_version": str(version),
+        **({"device_name": str(device_name)} if device_name else {}),
+    }
@@ -6,7 +6,6 @@ from typing import Any
 from fastapi import APIRouter, HTTPException, Query

 from calliope.agent.video_agent import enqueue_video_jobs, preview_clip_prompt
-from calliope.comfyui.client import ComfyUIClient
 from calliope.config import settings
 from calliope.db import get_db
 from calliope.events.bus import event_bus
@@ -191,7 +190,18 @@ async def cancel_job(job_id: int) -> dict[str, Any]:
        # Export runs local ffmpeg, not Comfy — kill the process instead.
        kill_running(job_id)
    else:
-        client = ComfyUIClient()
+        # Interrupt on the endpoint this job actually runs against (payload
+        # snapshot; falls back to the active connection).
+        from calliope.comfyui.endpoints import client_for
+
+        try:
+            snapshot = (json.loads(job.get("payload_json") or "{}") or {}).get("endpoint")
+        except json.JSONDecodeError:
+            snapshot = None
+        endpoint = None
+        if isinstance(snapshot, dict) and snapshot.get("id"):
+            endpoint = settings.resolve_comfyui_endpoint(str(snapshot["id"]))
+        client = client_for(endpoint)
        try:
            await client.interrupt()
        finally:
@@ -13,6 +13,10 @@ from pydantic import BaseModel, Field

 from calliope import config
 from calliope.agent.prompts import item_reference_prompt
+from calliope.comfyui.lint import blocking_problem
+from calliope.comfyui.output_map import mapping_problem
+from calliope.comfyui.parser import effective_input_schema
+from calliope.comfyui.validate import validate_input_values
 from calliope.db import get_db, row_to_dict
 from calliope.events.bus import event_bus
 from calliope.queue.manager import queue_manager
@@ -23,9 +27,18 @@ PLAYGROUND_STATUS = "system"
 PLAYGROUND_TITLE = "Playground Scratch"


+# Where the request came from — recorded on the job payload so the tasks
+# page can label origins ("独立生图" vs canvas Playground) without guessing.
+PlaygroundSource = Literal["playground", "studio-image", "studio-video"]
+
+
 class PlaygroundGenerate(BaseModel):
    workflow_id: int
    input_values: dict[str, Any] = Field(default_factory=dict)
+    # Optional target connection; omitted → the workflow's bound connection,
+    # then the active one (resolved in queue_manager.enqueue).
+    endpoint_id: str | None = None
+    source: PlaygroundSource = "playground"


 class PlaygroundAttach(BaseModel):
@@ -184,7 +197,14 @@ async def list_playground_jobs(limit: int = 50) -> list[dict[str, Any]]:
        pid = ensure_playground_project(conn)
    finally:
        conn.close()
-    return [_job_public(j) for j in queue_manager.list_jobs(pid, None, limit)]
+    # Workflow-test jobs (HEL-643) ride the same scratch project but must not
+    # surface in the studio windows' history — they carry their own dialog.
+    jobs = [
+        j
+        for j in queue_manager.list_jobs(pid, None, limit)
+        if str(j.get("origin") or "user") != "workflow_test"
+    ]
+    return [_job_public(j) for j in jobs]


@router.delete("/jobs/{job_id}")
@@ -323,27 +343,53 @@ async def generate(payload: PlaygroundGenerate) -> dict[str, Any]:
    try:
        pid = ensure_playground_project(conn)
        wf = conn.execute(
-            "SELECT id, kind, is_enabled FROM workflows WHERE id = ?",
+            "SELECT id, kind, is_enabled, workflow_json, input_schema, output_map,"
+            " output_map_source FROM workflows WHERE id = ?",
            (payload.workflow_id,),
        ).fetchone()
        if not wf:
-            raise HTTPException(status_code=404, detail="Workflow not found")
+            raise HTTPException(
+                status_code=404, detail="工作流不存在（可能已被删除），请刷新页面后重新选择"
+            )
        if not wf["is_enabled"]:
-            raise HTTPException(status_code=400, detail="Workflow is disabled")
+            raise HTTPException(
+                status_code=400, detail="该工作流已停用，请到「ComfyUI 连接」页启用后再生成"
+            )
        kind = wf["kind"]
+        workflow_json = json.loads(wf["workflow_json"])
+        # HEL-638: a workflow with unknown custom output nodes must have a
+        # confirmed output mapping before anything is queued.
+        map_problem = mapping_problem(workflow_json, wf["output_map"], wf["output_map_source"])
+        if map_problem:
+            raise HTTPException(status_code=400, detail=map_problem)
+        schema = effective_input_schema(
+            json.loads(wf["input_schema"]) if wf["input_schema"] else [], workflow_json
+        )
    finally:
        conn.close()

+    broken = blocking_problem(workflow_json)
+    if broken:
+        raise HTTPException(status_code=400, detail=broken)
+
+    input_values, problems = validate_input_values(schema, payload.input_values)
+    if problems:
+        raise HTTPException(status_code=400, detail="参数有误：" + "；".join(problems))
+
    job = queue_manager.enqueue(
        project_id=pid,
        kind=kind,
        workflow_id=payload.workflow_id,
        scene_id=None,
-        payload={"input_values": payload.input_values, "source": "playground"},
+        payload={
+            "input_values": input_values,
+            "source": payload.source,
+            **({"endpoint_id": payload.endpoint_id} if payload.endpoint_id else {}),
+        },
    )
    await event_bus.publish(
        "job.created",
-        {"job_id": job["id"], "kind": kind, "source": "playground", "project_id": pid},
+        {"job_id": job["id"], "kind": kind, "source": payload.source, "project_id": pid},
    )
    return {"ok": True, "job": _job_public(job)}

@@ -9,7 +9,7 @@ from calliope.models.schemas import Project, ProjectCreate, ProjectUpdate
 router = APIRouter()


-def _project_stats(project_id: int, conn) -> dict[str, int]:
+def _project_stats(project_id: int, conn) -> dict:
    cur = conn.execute(
        """
        SELECT
@@ -18,11 +18,26 @@ def _project_stats(project_id: int, conn) -> dict[str, int]:
            (SELECT COUNT(*) FROM characters WHERE project_id = :pid AND sheet_path IS NOT NULL)
                + (SELECT COUNT(*) FROM locations WHERE project_id = :pid AND reference_image_path IS NOT NULL) AS asset_ready_count,
            (SELECT COUNT(*) FROM characters WHERE project_id = :pid)
-                + (SELECT COUNT(*) FROM locations WHERE project_id = :pid) AS asset_total_count
+                + (SELECT COUNT(*) FROM locations WHERE project_id = :pid) AS asset_total_count,
+            (SELECT COUNT(*) FROM jobs WHERE project_id = :pid
+                AND status IN ('pending','running')) AS active_jobs
        """,
        {"pid": project_id},
    )
-    return dict(cur.fetchone())
+    stats = dict(cur.fetchone())
+    # Five-stage creation flow (HEL-614) — real per-stage states. Fresh
+    # projects have no rows yet, which reads as "not started" honestly.
+    try:
+        rows = conn.execute(
+            "SELECT stage_key, status FROM project_stages WHERE project_id = ?",
+            (project_id,),
+        ).fetchall()
+    except Exception:  # pragma: no cover — pre-migration DB
+        rows = []
+    stage_status = {r["stage_key"]: r["status"] for r in rows}
+    stats["stage_status"] = stage_status
+    stats["stage_confirmed"] = sum(1 for s in stage_status.values() if s == "confirmed")
+    return stats


@router.post("", response_model=Project)
@@ -1,7 +1,9 @@
 from __future__ import annotations

+import time
 from typing import Any

+import httpx
 from fastapi import APIRouter, HTTPException
 from pydantic import BaseModel, Field

@@ -11,6 +13,9 @@ router = APIRouter()

 _LEGACY_LLM_KEYS = {"llm_base_url", "llm_model", "llm_api_key"}

+_LLM_TEST_TIMEOUT_SEC = 15.0
+_LLM_TEST_TIMEOUT_RANGE = (5, 60)
+

 class LlmProfileIn(BaseModel):
    id: str | None = None
@@ -20,6 +25,18 @@ class LlmProfileIn(BaseModel):
    api_key: str | None = None


+class LlmTestIn(BaseModel):
+    profile_id: str | None = None
+    base_url: str | None = None
+    model: str | None = None
+    api_key: str | None = None
+    # Probe timeout requested by the caller (models settings page dropdown).
+    # Clamped server-side regardless of what the client sends.
+    timeout_sec: float | None = Field(
+        None, ge=_LLM_TEST_TIMEOUT_RANGE[0], le=_LLM_TEST_TIMEOUT_RANGE[1]
+    )
+
+
 class SettingsUpdate(BaseModel):
    llm_base_url: str | None = None
    llm_model: str | None = None
@@ -28,6 +45,7 @@ class SettingsUpdate(BaseModel):
    llm_active_id: str | None = None
    agent_llm_assignments: dict[str, str | None] | None = None
    comfyui_base_url: str | None = None
+    comfyui_active_id: str | None = None
    data_dir: str | None = None
    assets_dir: str | None = None
    agent_workspace_dir: str | None = None
@@ -55,6 +73,8 @@ async def update_settings(payload: SettingsUpdate) -> dict[str, Any]:
    active_in = data.pop("llm_active_id", None)
    assignments_in = data.pop("agent_llm_assignments", None)
    legacy_llm = {k: data.pop(k) for k in list(data) if k in _LEGACY_LLM_KEYS}
+    active_comfy_in = data.pop("comfyui_active_id", None)
+    legacy_comfy_url = data.pop("comfyui_base_url", None)

    for key, value in data.items():
        if key in {"data_dir", "assets_dir", "agent_workspace_dir"}:
@@ -87,7 +107,11 @@ async def update_settings(payload: SettingsUpdate) -> dict[str, Any]:
    if assignments_in is not None:
        settings.ensure_llm_profiles()
        ids = {p["id"] for p in settings.llm_profiles}
-        cleaned: dict[str, str | None] = {}
+        # HEL-619: per-role INCREMENTAL update. Rapid dropdown switches used
+        # to send whole cached snapshots that fully overwrote the map, so a
+        # stale snapshot could wipe a newer choice. Roles absent from the
+        # payload keep their stored value; a role sent as null is cleared.
+        cleaned: dict[str, str | None] = dict(settings.agent_llm_assignments or {})
        for role, pid in assignments_in.items():
            if role not in AGENT_LLM_ROLES:
                continue
@@ -104,5 +128,92 @@ async def update_settings(payload: SettingsUpdate) -> dict[str, Any]:
            setattr(settings, key, value)
        settings.sync_legacy_llm_into_active()

+    if active_comfy_in is not None:
+        settings.ensure_comfyui_endpoints()
+        ids = {ep["id"] for ep in settings.comfyui_endpoints}
+        if active_comfy_in not in ids:
+            raise HTTPException(status_code=400, detail="Unknown ComfyUI endpoint")
+        settings.comfyui_active_id = active_comfy_in
+        settings.apply_active_comfyui()
+
+    if legacy_comfy_url is not None:
+        # Legacy single-address PATCH (old Settings page): write it onto the
+        # active endpoint so the two views never diverge (HEL-611).
+        setattr(settings, "comfyui_base_url", legacy_comfy_url)
+        settings.sync_legacy_comfyui_into_active()
+
    settings.save_config_file()
    return settings.to_public_dict()
+
+
+@router.post("/llm-test")
+async def test_llm_connection(payload: LlmTestIn) -> dict[str, Any]:
+    settings.ensure_llm_profiles()
+    base_url = (payload.base_url or "").strip()
+    model = (payload.model or "").strip()
+    api_key = (payload.api_key or "").strip() or None
+    if payload.profile_id:
+        profile = next(
+            (p for p in settings.llm_profiles if p.get("id") == payload.profile_id), None
+        )
+        if profile is None:
+            raise HTTPException(status_code=404, detail="Unknown LLM profile")
+        if not base_url:
+            base_url = str(profile.get("base_url") or "").strip()
+        if not model:
+            model = str(profile.get("model") or "").strip()
+        if api_key is None:
+            key = profile.get("api_key")
+            if isinstance(key, str) and key.strip():
+                api_key = key
+    if not base_url or not model:
+        raise HTTPException(status_code=400, detail="base_url and model are required")
+
+    url = f"{base_url.rstrip('/')}/chat/completions"
+    headers = {"Content-Type": "application/json"}
+    if api_key:
+        headers["Authorization"] = f"Bearer {api_key}"
+    body = {
+        "model": model,
+        "messages": [{"role": "user", "content": "ping"}],
+        "max_tokens": 1,
+        "stream": False,
+        "temperature": 0,
+    }
+    timeout_sec = payload.timeout_sec if payload.timeout_sec is not None else _LLM_TEST_TIMEOUT_SEC
+    timeout_sec = min(
+        max(timeout_sec, _LLM_TEST_TIMEOUT_RANGE[0]),
+        _LLM_TEST_TIMEOUT_RANGE[1],
+    )
+    started = time.perf_counter()
+    try:
+        async with httpx.AsyncClient(timeout=timeout_sec) as client:
+            resp = await client.post(url, headers=headers, json=body)
+    except httpx.TimeoutException:
+        return {
+            "ok": False,
+            "error": "timeout",
+            "detail": f"no response within {timeout_sec:.0f}s",
+            "timeout_sec": timeout_sec,
+        }
+    except httpx.HTTPError as exc:
+        return {"ok": False, "error": "connect", "detail": str(exc) or exc.__class__.__name__}
+    elapsed_ms = int((time.perf_counter() - started) * 1000)
+    if resp.status_code in (401, 403):
+        return {"ok": False, "error": "auth", "detail": f"HTTP {resp.status_code}"}
+    if resp.status_code == 404:
+        return {
+            "ok": False,
+            "error": "not_found",
+            "detail": "HTTP 404 — check base URL (OpenAI-compatible servers usually end with /v1)",
+        }
+    if resp.status_code >= 400:
+        text = resp.text[:200].strip().replace("\n", " ")
+        return {"ok": False, "error": "http", "detail": f"HTTP {resp.status_code}: {text}"}
+    try:
+        data = resp.json()
+    except ValueError:
+        return {"ok": False, "error": "http", "detail": "response is not JSON"}
+    if not (isinstance(data, dict) and data.get("choices")):
+        return {"ok": False, "error": "http", "detail": "response has no choices"}
+    return {"ok": True, "elapsed_ms": elapsed_ms}
@@ -0,0 +1,916 @@
+"""Five-stage creation workbench (HEL-614).
+
+剧本创作 → 视觉设计 → 分镜设计 → 素材资产 → 镜头脚本 — one project, five
+named agents in sequence. Each stage holds a working draft the user can edit
+(``content_json``) and the last confirmed snapshot
+(``confirmed_content_json``); only confirmed snapshots flow into the next
+agent's context, so an unconfirmed draft is never treated as final.
+
+Stage runs reuse the HEL-613 registry (persona + llm_role + skill bindings)
+with a workbench-specific mode prompt and a per-stage JSON artifact schema.
+In-flow generation reuses the HEL-612 shared queue: jobs are project-linked
+with ``payload.source = "workbench"`` so tasks and results come back to the
+project (and the tasks page) like every other job.
+"""
+from __future__ import annotations
+
+import asyncio
+import json
+import re
+from typing import Any, Literal
+
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel, Field
+
+from calliope import config
+from calliope.agent.agents_registry import AGENTS, AGENT_KEYS
+from calliope.agent.llm import LLMClient, extract_json
+from calliope.agent.skills_store import effective_skill_dirs, list_skills
+from calliope.comfyui.parser import parse_dynamic_inputs
+from calliope.comfyui.smart_fill import smart_fill_inputs
+from calliope.db import get_db, row_to_dict
+from calliope.events.bus import event_bus
+from calliope.queue.manager import queue_manager
+
+router = APIRouter()
+
+STAGE_KEYS: tuple[str, ...] = AGENT_KEYS  # script, style, storyboard, assets, shot
+
+StageKey = Literal["script", "style", "storyboard", "assets", "shot"]
+WORKBENCH_SOURCE = "workbench"
+
+
+class StagePatch(BaseModel):
+    content: dict[str, Any]
+    chosen_style_id: str | None = None
+
+
+class StageRunRequest(BaseModel):
+    instruction: str | None = Field(default=None, max_length=8000)
+
+
+class StageConfirmRequest(BaseModel):
+    chosen_style_id: str | None = None
+
+
+class ScriptImportRequest(BaseModel):
+    text: str = Field(min_length=1, max_length=200_000)
+
+
+class WorkbenchGenerateRequest(BaseModel):
+    kind: Literal["image", "video"]
+    stage_key: StageKey
+    target_id: str | None = Field(default=None, max_length=64)
+    prompt: str = Field(min_length=1, max_length=8000)
+    negative_prompt: str | None = Field(default=None, max_length=2000)
+    duration_sec: float | None = None
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Content normalization — one defensive normalizer per stage. Accepts mild
+# LLM shape drift, fills defaults, rejects unusable output with a Chinese
+# reason that surfaces on the run row.
+# ─────────────────────────────────────────────────────────────────────────
+
+
+class StageContentError(ValueError):
+    """Unusable artifact content; str(err) is user-facing Chinese."""
+
+
+def _text(value: Any) -> str:
+    return str(value if value is not None else "").strip()
+
+
+def _num(value: Any, default: float) -> float:
+    try:
+        out = float(value)
+    except (TypeError, ValueError):
+        return default
+    return out if out > 0 else default
+
+
+def _slug_id(prefix: str, index: int) -> str:
+    return f"{prefix}{index + 1}"
+
+
+def _norm_script(data: dict[str, Any]) -> dict[str, Any]:
+    text = _text(data.get("text") or data.get("script") or data.get("content"))
+    if len(text) < 30:
+        raise StageContentError("剧本内容太短（不足 30 字），请重试或在下方手动补充。")
+    return {"text": text}
+
+
+def _norm_style(data: dict[str, Any]) -> dict[str, Any]:
+    raw = data.get("directions") or data.get("styles") or []
+    if not isinstance(raw, list):
+        raise StageContentError("风格数据格式不正确，缺少风格方向列表。")
+    directions = []
+    used_ids: set[str] = set()
+    for i, item in enumerate(raw):
+        if not isinstance(item, dict):
+            continue
+        name = _text(item.get("name") or item.get("title"))
+        prompt = _text(item.get("prompt") or item.get("keywords"))
+        if not name or not prompt:
+            continue
+        sid = _text(item.get("id"))
+        if not sid or sid in used_ids:
+            sid = _slug_id("style", i)
+            n = 2
+            while sid in used_ids:
+                sid = f"style{i + 1}-{n}"
+                n += 1
+        used_ids.add(sid)
+        directions.append(
+            {
+                "id": sid,
+                "name": name,
+                "description": _text(item.get("description")),
+                "prompt": prompt,
+                "negative_prompt": _text(item.get("negative_prompt")),
+            }
+        )
+    if len(directions) < 2:
+        raise StageContentError("风格方向不足 2 套。请让智能体重试，或手动补充更多方向。")
+    return {"directions": directions}
+
+
+def _norm_storyboard(data: dict[str, Any]) -> dict[str, Any]:
+    raw = data.get("shots") or data.get("storyboard") or []
+    if not isinstance(raw, list):
+        raise StageContentError("分镜数据格式不正确，缺少逐镜列表。")
+    shots = []
+    for i, item in enumerate(raw):
+        if not isinstance(item, dict):
+            continue
+        description = _text(item.get("description") or item.get("action") or item.get("content"))
+        if not description:
+            continue
+        shots.append(
+            {
+                "id": _text(item.get("id")) or _slug_id("shot", i),
+                "scene": _text(item.get("scene")) or f"{i + 1}",
+                "shot_size": _text(item.get("shot_size") or item.get("size")) or "中景",
+                "camera": _text(item.get("camera") or item.get("movement")) or "固定",
+                "description": description,
+                "dialog": _text(item.get("dialog") or item.get("dialogue")),
+                "duration_sec": _num(item.get("duration_sec") or item.get("duration"), 3.0),
+            }
+        )
+    if not shots:
+        raise StageContentError("分镜表为空。请让智能体重试，或手动添加镜头。")
+    return {"shots": shots}
+
+
+def _norm_assets(data: dict[str, Any]) -> dict[str, Any]:
+    raw = data.get("assets") or data.get("items") or []
+    if not isinstance(raw, list):
+        raise StageContentError("素材数据格式不正确，缺少资产列表。")
+    assets = []
+    for i, item in enumerate(raw):
+        if not isinstance(item, dict):
+            continue
+        name = _text(item.get("name") or item.get("title"))
+        prompt = _text(item.get("prompt"))
+        if not name or not prompt:
+            continue
+        kind = _text(item.get("kind") or item.get("type"))
+        if kind not in ("character", "location", "prop"):
+            kind = "prop"
+        assets.append(
+            {
+                "id": _text(item.get("id")) or _slug_id("asset", i),
+                "kind": kind,
+                "name": name,
+                "description": _text(item.get("description")),
+                "prompt": prompt,
+                "negative_prompt": _text(item.get("negative_prompt")),
+            }
+        )
+    if not assets:
+        raise StageContentError("素材清单为空。请让智能体重试，或手动添加素材。")
+    return {"assets": assets}
+
+
+def _norm_shot(data: dict[str, Any]) -> dict[str, Any]:
+    raw = data.get("shots") or []
+    if not isinstance(raw, list):
+        raise StageContentError("镜头脚本数据格式不正确，缺少逐镜列表。")
+    shots = []
+    for i, item in enumerate(raw):
+        if not isinstance(item, dict):
+            continue
+        prompt = _text(item.get("prompt") or item.get("video_prompt"))
+        if not prompt:
+            continue
+        shots.append(
+            {
+                "id": _text(item.get("id")) or _slug_id("vshot", i),
+                "shot_no": _text(item.get("shot_no") or item.get("shot")) or _slug_id("S", i),
+                "description": _text(item.get("description")),
+                "prompt": prompt,
+                "duration_sec": _num(item.get("duration_sec") or item.get("duration"), 5.0),
+            }
+        )
+    if not shots:
+        raise StageContentError("镜头脚本为空。请让智能体重试，或手动添加镜头。")
+    return {"shots": shots}
+
+
+NORMALIZERS = {
+    "script": _norm_script,
+    "style": _norm_style,
+    "storyboard": _norm_storyboard,
+    "assets": _norm_assets,
+    "shot": _norm_shot,
+}
+
+# Short artifact brief embedded in each run prompt (Chinese; keeps the five
+# agents' deliverables aligned with what the workbench UI renders).
+STAGE_BRIEFS = {
+    "script": (
+        "产出完整可拍摄的短视频剧本：故事大纲、按场次展开的分场（场景/时间/地点/人物）、"
+        "人物小传要点、逐场台词与动作描述。直接输出剧本正文，不要写「好的」之类的客套话。"
+    ),
+    "style": (
+        "给出至少 2 套（建议 3 套）差异化视觉风格方向，每套包含：风格名称、中文风格说明"
+        "（色调/光影/材质/线条）、可直接用于生图模型的英文正向提示词词组（逗号分隔）、"
+        "可选的英文负面提示词。提示词词组必须完整可复制。"
+    ),
+    "storyboard": (
+        "把剧本拆成逐镜分镜表，每镜包含：场次、景别（远/全/中/近/特写）、运镜"
+        "（推/拉/摇/移/跟/固定）、画面内容描述、台词或音效起点、建议时长（秒）。"
+        "重要情绪点给特写，节奏有起伏。"
+    ),
+    "assets": (
+        "结合剧本、已确认的视觉风格与分镜表，整理需要生图的资产清单（角色/场景/道具），"
+        "每项资产给出：类型、名称、中文说明、完整可直接复制的英文生图提示词"
+        "（主体外观细节+风格关键词+构图视角+画质词）、可选负面提示词。"
+        "同一角色要保持跨视角一致性。"
+    ),
+    "shot": (
+        "把分镜表转化为视频生成模型（如 MiniMax H3）可用的逐镜脚本，每镜包含：镜号、"
+        "中文画面说明、完整可直接复制的英文视频提示词（主体与动作+运镜指令+镜头语言+"
+        "光影氛围）、建议时长（秒）。同一项目运镜与风格保持一致。"
+    ),
+}
+
+
+def _stage_name(stage_key: str) -> str:
+    return AGENTS[stage_key]["name"] if stage_key in AGENTS else stage_key
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# DB helpers
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def _get_project(conn, project_id: int) -> dict[str, Any]:
+    row = conn.execute("SELECT * FROM projects WHERE id = ?", (project_id,)).fetchone()
+    if not row or row["status"] == "system":
+        raise HTTPException(status_code=404, detail="项目不存在")
+    return row_to_dict(row)
+
+
+def _ensure_stage_rows(conn, project_id: int) -> None:
+    for key in STAGE_KEYS:
+        conn.execute(
+            "INSERT OR IGNORE INTO project_stages (project_id, stage_key) VALUES (?, ?)",
+            (project_id, key),
+        )
+    conn.commit()
+
+
+def _load_stage(conn, project_id: int, stage_key: str) -> dict[str, Any]:
+    row = conn.execute(
+        "SELECT * FROM project_stages WHERE project_id = ? AND stage_key = ?",
+        (project_id, stage_key),
+    ).fetchone()
+    if not row:
+        raise HTTPException(status_code=404, detail="阶段不存在")
+    return row_to_dict(row)
+
+
+def _stage_public(row: dict[str, Any]) -> dict[str, Any]:
+    return {
+        "stage_key": row["stage_key"],
+        "status": row["status"],
+        "content": json.loads(row["content_json"]) if row["content_json"] else None,
+        "confirmed_content": (
+            json.loads(row["confirmed_content_json"]) if row["confirmed_content_json"] else None
+        ),
+        "chosen_style_id": row["chosen_style_id"],
+        "draft_edited": bool(row["draft_edited"]),
+        "error": row["error"],
+        "updated_at": row["updated_at"],
+    }
+
+
+def _last_run(conn, project_id: int, stage_key: str) -> dict[str, Any] | None:
+    row = conn.execute(
+        "SELECT * FROM stage_runs WHERE project_id = ? AND stage_key = ? "
+        "ORDER BY id DESC LIMIT 1",
+        (project_id, stage_key),
+    ).fetchone()
+    if not row:
+        return None
+    return {
+        "id": row["id"],
+        "status": row["status"],
+        "error": row["error"],
+        "instruction": row["instruction"],
+        "created_at": row["created_at"],
+        "completed_at": row["completed_at"],
+    }
+
+
+def _job_public(job: dict[str, Any]) -> dict[str, Any]:
+    out = dict(job)
+    out["payload"] = json.loads(job.get("payload_json") or "{}")
+    out["output_paths"] = json.loads(job.get("output_paths_json") or "[]")
+    out.pop("payload_json", None)
+    out.pop("output_paths_json", None)
+    return out
+
+
+def _workbench_job_outputs(conn, project_id: int) -> dict[str, dict[str, Any]]:
+    """target_id → latest workbench job (any status) for asset/shot panels."""
+    rows = conn.execute(
+        "SELECT * FROM jobs WHERE project_id = ? ORDER BY id ASC",
+        (project_id,),
+    ).fetchall()
+    out: dict[str, dict[str, Any]] = {}
+    for row in rows:
+        job = _job_public(row_to_dict(row))
+        payload = job.get("payload") or {}
+        if payload.get("source") != WORKBENCH_SOURCE:
+            continue
+        target = payload.get("target_id")
+        if not target:
+            continue
+        prev = out.get(target)
+        # later rows win; keep the newest per target
+        if prev is None or int(job["id"]) > int(prev["id"]):
+            out[target] = job
+    return out
+
+
+def _enrich_stage(
+    stage: dict[str, Any], outputs: dict[str, dict[str, Any]]
+) -> dict[str, Any]:
+    content = stage.get("content") or {}
+    if stage["stage_key"] == "assets" and isinstance(content.get("assets"), list):
+        for asset in content["assets"]:
+            job = outputs.get(asset.get("id"))
+            if job:
+                asset["job"] = _job_brief(job)
+    elif stage["stage_key"] == "shot" and isinstance(content.get("shots"), list):
+        for shot in content["shots"]:
+            job = outputs.get(shot.get("id"))
+            if job:
+                shot["job"] = _job_brief(job)
+    return stage
+
+
+def _job_brief(job: dict[str, Any]) -> dict[str, Any]:
+    return {
+        "id": job["id"],
+        "status": job["status"],
+        "kind": job["kind"],
+        "output": (job.get("output_paths") or [None])[0],
+        "error": job.get("error"),
+    }
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Stage-run prompt assembly + background execution
+# ─────────────────────────────────────────────────────────────────────────
+
+_SKILL_BODY_MAX_CHARS = 1600
+_SKILL_BODY_MAX_COUNT = 3
+
+
+def _skills_context(agent_key: str) -> str:
+    try:
+        effective = effective_skill_dirs(agent_key)
+        skills = [s for s in list_skills(cap=None) if s["dir"] in effective]
+    except Exception:
+        return ""
+    if not skills:
+        return ""
+    lines = ["以下 Skill 已分配给该智能体（用户配置），生成时请吸收其要点："]
+    shown = 0
+    for skill in skills:
+        lines.append(f"- {skill['name']}: {skill['description']}")
+        if shown >= _SKILL_BODY_MAX_COUNT:
+            continue
+        body = _skill_body(skill["dir"])
+        if body:
+            lines.append(f"  {skill['name']} 内容摘要：\n{body}")
+            shown += 1
+    return "\n".join(lines)
+
+
+def _skill_body(skill_dir: str) -> str:
+    from calliope.agent.skills_store import skills_root
+
+    path = skills_root() / skill_dir / "SKILL.md"
+    try:
+        text = path.read_text(encoding="utf-8")
+    except OSError:
+        return ""
+    text = re.sub(r"^---.*?---\s*", "", text, flags=re.S)
+    text = text.strip()
+    if len(text) > _SKILL_BODY_MAX_CHARS:
+        text = text[:_SKILL_BODY_MAX_CHARS] + "…"
+    return text
+
+
+def _system_prompt(stage_key: str) -> str:
+    agent = AGENTS[stage_key]
+    idx = STAGE_KEYS.index(stage_key) + 1
+    parts = [
+        agent["persona"],
+        (
+            f"WORKBENCH MODE: 你正在「创作工作台」五段流程中负责第 {idx} 段「{agent['name']}」。"
+            "本次输出会被程序解析入库并在工作台展示给用户编辑、确认，因此：\n"
+            "- 只输出一个 JSON 对象，不要加 Markdown 代码围栏，不要输出 JSON 以外的任何文字。\n"
+            "- 严格遵守用户消息末尾给出的 JSON 结构与字段要求，中文内容用中文写，"
+            "提示词词组按各段惯例（英文逗号分隔）。\n"
+            "- 这是正式交付物：内容要完整、具体、可直接使用，不要输出占位符或「待补充」。"
+        ),
+        f"本段任务：{STAGE_BRIEFS[stage_key]}",
+    ]
+    skills_ctx = _skills_context(stage_key)
+    if skills_ctx:
+        parts.append(skills_ctx)
+    return "\n\n".join(parts)
+
+
+def _stage_context(conn, project_id: int, stage_key: str) -> str:
+    """Confirmed upstream artifacts only — drafts never leak downstream."""
+    project = _get_project(conn, project_id)
+    blocks: list[str] = [f"项目名称：{project['title']}"]
+    if project.get("idea") and stage_key != "script":
+        idea = _text(project["idea"])
+        if len(idea) <= 600:
+            blocks.append(f"用户创意：{idea}")
+
+    rows = conn.execute(
+        "SELECT * FROM project_stages WHERE project_id = ?",
+        (project_id,),
+    ).fetchall()
+    stages = {r["stage_key"]: row_to_dict(r) for r in rows}
+
+    def confirmed(key: str) -> dict[str, Any] | None:
+        row = stages.get(key)
+        if not row or row["status"] != "confirmed" or not row["confirmed_content_json"]:
+            return None
+        return json.loads(row["confirmed_content_json"])
+
+    script = confirmed("script")
+    if script and stage_key in ("style", "storyboard", "assets", "shot"):
+        blocks.append(f"【已确认的剧本】\n{_text(script.get('text'))}")
+
+    style = confirmed("style")
+    if style and stage_key in ("storyboard", "assets", "shot"):
+        chosen_id = stages.get("style", {}).get("chosen_style_id")
+        directions = style.get("directions") or []
+        chosen = next(
+            (d for d in directions if d.get("id") == chosen_id), directions[0] if directions else None
+        )
+        if chosen:
+            blocks.append(
+                "【已确认的视觉风格】\n"
+                f"{chosen.get('name')}：{chosen.get('description') or ''}\n"
+                f"风格关键词：{chosen.get('prompt')}"
+            )
+        else:
+            names = "、".join(d.get("name", "") for d in directions)
+            blocks.append(f"【已确认的视觉风格】候选方向：{names}")
+
+    board = confirmed("storyboard")
+    if board and stage_key in ("assets", "shot"):
+        lines = []
+        for i, shot in enumerate(board.get("shots") or [], 1):
+            lines.append(
+                f"{i}. 场次{shot.get('scene')}｜{shot.get('shot_size')}｜{shot.get('camera')}｜"
+                f"{shot.get('description')}"
+                + (f"｜台词：{shot.get('dialog')}" if shot.get("dialog") else "")
+            )
+        blocks.append("【已确认的分镜表】\n" + "\n".join(lines))
+
+    assets = confirmed("assets")
+    if assets and stage_key == "shot":
+        lines = [
+            f"- {a.get('kind')}｜{a.get('name')}：{a.get('description') or a.get('prompt')}"
+            for a in assets.get("assets") or []
+        ]
+        blocks.append("【已确认的素材清单】\n" + "\n".join(lines))
+    return "\n\n".join(blocks)
+
+
+_JSON_SCHEMAS = {
+    "script": '{"text": "完整剧本正文（简体中文，含大纲/分场/台词）"}',
+    "style": (
+        '{"directions": [{"id": "style1", "name": "风格名称", '
+        '"description": "中文风格说明", "prompt": "english, style, keywords", '
+        '"negative_prompt": "optional english negative keywords"}]}（至少 2 套）'
+    ),
+    "storyboard": (
+        '{"shots": [{"id": "shot1", "scene": "场次", "shot_size": "景别", '
+        '"camera": "运镜", "description": "画面内容", "dialog": "台词（可空）", '
+        '"duration_sec": 3}]}'
+    ),
+    "assets": (
+        '{"assets": [{"id": "asset1", "kind": "character|location|prop", '
+        '"name": "名称", "description": "中文说明", '
+        '"prompt": "complete english image prompt", '
+        '"negative_prompt": "可空"}]}'
+    ),
+    "shot": (
+        '{"shots": [{"id": "vshot1", "shot_no": "S1", '
+        '"description": "中文画面说明", "prompt": "complete english video prompt", '
+        '"duration_sec": 5}]}'
+    ),
+}
+
+
+# Strong refs so in-flight runs are never garbage-collected mid-turn
+# (same pattern as the harness runner).
+_ACTIVE_RUNS: dict[int, asyncio.Task] = {}
+
+
+async def _execute_run(project_id: int, stage_key: str, run_id: int, instruction: str | None) -> None:
+    db = config.settings.db_path
+    try:
+        conn = get_db(db)
+        try:
+            context = _stage_context(conn, project_id, stage_key)
+        finally:
+            conn.close()
+
+        user_parts = [context]
+        if instruction and instruction.strip():
+            user_parts.append(f"用户补充要求：{instruction.strip()}")
+        user_parts.append(
+            f"请产出本段（{ _stage_name(stage_key)}）的 JSON：{_JSON_SCHEMAS[stage_key]}"
+        )
+        messages = [
+            {"role": "system", "content": _system_prompt(stage_key)},
+            {"role": "user", "content": "\n\n".join(user_parts)},
+        ]
+
+        role = AGENTS[stage_key]["llm_role"]
+        client = LLMClient.for_role(role, timeout=240.0)
+        try:
+            text = await client.chat(messages, temperature=0.7)
+        finally:
+            await client.close()
+        content = NORMALIZERS[stage_key](extract_json(text))
+
+        conn = get_db(db)
+        try:
+            conn.execute(
+                "UPDATE stage_runs SET status='done', output_json=?, completed_at=CURRENT_TIMESTAMP "
+                "WHERE id = ?",
+                (json.dumps(content, ensure_ascii=False), run_id),
+            )
+            conn.execute(
+                "UPDATE project_stages SET content_json=?, status='awaiting_confirm', "
+                "draft_edited=0, error=NULL, updated_at=CURRENT_TIMESTAMP "
+                "WHERE project_id = ? AND stage_key = ?",
+                (json.dumps(content, ensure_ascii=False), project_id, stage_key),
+            )
+            conn.execute(
+                "UPDATE projects SET updated_at=CURRENT_TIMESTAMP WHERE id = ?",
+                (project_id,),
+            )
+            conn.commit()
+        finally:
+            conn.close()
+    except Exception as exc:  # noqa: BLE001 — any failure becomes a readable run row
+        reason = _friendly_error(exc)
+        try:
+            conn = get_db(db)
+            try:
+                conn.execute(
+                    "UPDATE stage_runs SET status='failed', error=?, completed_at=CURRENT_TIMESTAMP "
+                    "WHERE id = ?",
+                    (reason, run_id),
+                )
+                conn.execute(
+                    "UPDATE project_stages SET status=CASE "
+                    "WHEN confirmed_content_json IS NOT NULL THEN 'confirmed' ELSE 'todo' END, "
+                    "error=?, updated_at=CURRENT_TIMESTAMP "
+                    "WHERE project_id = ? AND stage_key = ? AND status = 'running'",
+                    (reason, project_id, stage_key),
+                )
+                conn.commit()
+            finally:
+                conn.close()
+        except Exception:  # pragma: no cover — bookkeeping failure only
+            pass
+
+
+def _friendly_error(exc: Exception) -> str:
+    text = str(exc)
+    lowered = text.lower()
+    if "connect" in lowered or "timeout" in lowered or "timed out" in lowered:
+        return (
+            "连接大模型服务失败：请到「模型设置」检查地址与密钥，或点「重新生成」再试一次。"
+        )
+    if "no json" in lowered or isinstance(exc, ValueError):
+        return "智能体没有返回可解析的结果，请点「重新生成」重试；多次失败可换一个模型。"
+    return f"生成失败：{text[:300]}"
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Endpoints
+# ─────────────────────────────────────────────────────────────────────────
+
+
+@router.get("/projects/{project_id}")
+async def workbench_overview(project_id: int) -> dict[str, Any]:
+    conn = get_db(config.settings.db_path)
+    try:
+        project = _get_project(conn, project_id)
+        _ensure_stage_rows(conn, project_id)
+        rows = conn.execute(
+            "SELECT * FROM project_stages WHERE project_id = ? ORDER BY id ASC",
+            (project_id,),
+        ).fetchall()
+        outputs = _workbench_job_outputs(conn, project_id)
+        stages = []
+        for row in rows:
+            stage = _stage_public(row_to_dict(row))
+            stages.append(_enrich_stage(stage, outputs))
+        runs = {key: _last_run(conn, project_id, key) for key in STAGE_KEYS}
+        for stage in stages:
+            stage["last_run"] = runs.get(stage["stage_key"])
+        return {
+            "project": {
+                "id": project["id"],
+                "title": project["title"],
+                "idea": project.get("idea"),
+                "status": project["status"],
+                "updated_at": project["updated_at"],
+            },
+            "stages": stages,
+        }
+    finally:
+        conn.close()
+
+
+def _stage_or_404(conn, project_id: int, stage_key: str) -> dict[str, Any]:
+    if stage_key not in STAGE_KEYS:
+        raise HTTPException(status_code=404, detail="阶段不存在")
+    _ensure_stage_rows(conn, project_id)
+    return _load_stage(conn, project_id, stage_key)
+
+
+@router.patch("/projects/{project_id}/stages/{stage_key}")
+async def patch_stage(project_id: int, stage_key: str, payload: StagePatch) -> dict[str, Any]:
+    conn = get_db(config.settings.db_path)
+    try:
+        _get_project(conn, project_id)
+        stage = _stage_or_404(conn, project_id, stage_key)
+        if stage["status"] == "running":
+            raise HTTPException(status_code=409, detail="本阶段正在生成中，请稍候再编辑。")
+        try:
+            content = NORMALIZERS[stage_key](payload.content)
+        except StageContentError as exc:
+            raise HTTPException(status_code=400, detail=str(exc)) from exc
+        if content == (json.loads(stage["content_json"]) if stage["content_json"] else None):
+            return {"ok": True, "stage": _stage_public({**stage, "content_json": json.dumps(content, ensure_ascii=False)})}
+        # Editing a confirmed stage produces a new draft awaiting re-confirm;
+        # the confirmed snapshot stays intact for 恢复.
+        next_status = "awaiting_confirm" if stage["status"] == "confirmed" else stage["status"]
+        if stage["status"] == "todo":
+            next_status = "awaiting_confirm"
+        chosen = payload.chosen_style_id
+        if stage_key == "style" and chosen:
+            ids = [d.get("id") for d in content.get("directions", [])]
+            if chosen not in ids:
+                raise HTTPException(status_code=400, detail="所选风格方向不存在，请刷新后重试。")
+        conn.execute(
+            "UPDATE project_stages SET content_json=?, status=?, draft_edited=1, "
+            "chosen_style_id=COALESCE(?, chosen_style_id), updated_at=CURRENT_TIMESTAMP "
+            "WHERE project_id = ? AND stage_key = ?",
+            (
+                json.dumps(content, ensure_ascii=False),
+                next_status,
+                chosen,
+                project_id,
+                stage_key,
+            ),
+        )
+        conn.execute(
+            "UPDATE projects SET updated_at=CURRENT_TIMESTAMP WHERE id = ?", (project_id,)
+        )
+        conn.commit()
+        row = _load_stage(conn, project_id, stage_key)
+        return {"ok": True, "stage": _stage_public(row)}
+    finally:
+        conn.close()
+
+
+@router.post("/projects/{project_id}/stages/{stage_key}/run")
+async def run_stage(project_id: int, stage_key: str, payload: StageRunRequest | None = None) -> dict[str, Any]:
+    instruction = (payload.instruction if payload else None) or None
+    conn = get_db(config.settings.db_path)
+    try:
+        _get_project(conn, project_id)
+        stage = _stage_or_404(conn, project_id, stage_key)
+        if stage["status"] == "running":
+            raise HTTPException(status_code=409, detail="本阶段正在生成中，请稍候。")
+        # Prerequisite: the previous stage must be confirmed (drafts never
+        # unlock the next agent).
+        idx = STAGE_KEYS.index(stage_key)
+        if idx > 0:
+            prev = _load_stage(conn, project_id, STAGE_KEYS[idx - 1])
+            if prev["status"] != "confirmed":
+                raise HTTPException(
+                    status_code=409,
+                    detail=f"请先完成并确认上一阶段「{_stage_name(STAGE_KEYS[idx - 1])}」。",
+                )
+        # LLM must be resolvable — fail fast with a fix-it message.
+        try:
+            profile = config.settings.resolve_llm_for_role(AGENTS[stage_key]["llm_role"])
+        except Exception:  # pragma: no cover — defensive
+            profile = None
+        if not profile or not (profile.get("base_url") or "").strip():
+            raise HTTPException(
+                status_code=400,
+                detail="尚未配置可用的大模型：请到「模型设置」添加并测试通过后再生成。",
+            )
+
+        cur = conn.execute(
+            "INSERT INTO stage_runs (project_id, stage_key, instruction) VALUES (?, ?, ?)",
+            (project_id, stage_key, instruction),
+        )
+        run_id = int(cur.lastrowid)
+        conn.execute(
+            "UPDATE project_stages SET status='running', error=NULL, updated_at=CURRENT_TIMESTAMP "
+            "WHERE project_id = ? AND stage_key = ?",
+            (project_id, stage_key),
+        )
+        conn.commit()
+    finally:
+        conn.close()
+
+    task = asyncio.create_task(_execute_run(project_id, stage_key, run_id, instruction))
+    _ACTIVE_RUNS[run_id] = task
+    task.add_done_callback(lambda t: _ACTIVE_RUNS.pop(run_id, None))
+    return {"ok": True, "run_id": run_id}
+
+
+@router.post("/projects/{project_id}/stages/{stage_key}/confirm")
+async def confirm_stage(
+    project_id: int, stage_key: str, payload: StageConfirmRequest | None = None
+) -> dict[str, Any]:
+    conn = get_db(config.settings.db_path)
+    try:
+        _get_project(conn, project_id)
+        stage = _stage_or_404(conn, project_id, stage_key)
+        if stage["status"] == "running":
+            raise HTTPException(status_code=409, detail="本阶段正在生成中，请等待完成。")
+        if not stage["content_json"]:
+            raise HTTPException(status_code=400, detail="本阶段还没有内容，请先生成或手动填写。")
+        content = json.loads(stage["content_json"])
+        chosen = payload.chosen_style_id if payload else None
+        if stage_key == "style":
+            directions = content.get("directions") or []
+            ids = [d.get("id") for d in directions]
+            if chosen and chosen not in ids:
+                raise HTTPException(status_code=400, detail="所选风格方向不存在，请刷新后重试。")
+            if not chosen:
+                chosen = stage["chosen_style_id"] or (ids[0] if ids else None)
+        conn.execute(
+            "UPDATE project_stages SET status='confirmed', confirmed_content_json=?, "
+            "chosen_style_id=?, draft_edited=0, error=NULL, updated_at=CURRENT_TIMESTAMP "
+            "WHERE project_id = ? AND stage_key = ?",
+            (
+                json.dumps(content, ensure_ascii=False),
+                chosen if stage_key == "style" else stage["chosen_style_id"],
+                project_id,
+                stage_key,
+            ),
+        )
+        conn.execute(
+            "UPDATE projects SET updated_at=CURRENT_TIMESTAMP WHERE id = ?", (project_id,)
+        )
+        conn.commit()
+        row = _load_stage(conn, project_id, stage_key)
+        return {"ok": True, "stage": _stage_public(row)}
+    finally:
+        conn.close()
+
+
+@router.post("/projects/{project_id}/stages/{stage_key}/restore")
+async def restore_stage(project_id: int, stage_key: str) -> dict[str, Any]:
+    conn = get_db(config.settings.db_path)
+    try:
+        _get_project(conn, project_id)
+        stage = _stage_or_404(conn, project_id, stage_key)
+        if not stage["confirmed_content_json"]:
+            raise HTTPException(status_code=400, detail="本阶段还没有已确认版本，无需恢复。")
+        conn.execute(
+            "UPDATE project_stages SET content_json=confirmed_content_json, "
+            "status='confirmed', draft_edited=0, updated_at=CURRENT_TIMESTAMP "
+            "WHERE project_id = ? AND stage_key = ?",
+            (project_id, stage_key),
+        )
+        conn.commit()
+        row = _load_stage(conn, project_id, stage_key)
+        return {"ok": True, "stage": _stage_public(row)}
+    finally:
+        conn.close()
+
+
+@router.post("/projects/{project_id}/stages/script/import")
+async def import_script(project_id: int, payload: ScriptImportRequest) -> dict[str, Any]:
+    """导入现成剧本：直接确认为剧本阶段基线，从视觉设计继续。"""
+    text = payload.text.strip()
+    if len(text) < 30:
+        raise HTTPException(status_code=400, detail="剧本内容太短，请检查粘贴是否完整。")
+    content = {"text": text}
+    conn = get_db(config.settings.db_path)
+    try:
+        _get_project(conn, project_id)
+        _stage_or_404(conn, project_id, "script")
+        conn.execute(
+            "UPDATE project_stages SET content_json=?, confirmed_content_json=?, "
+            "status='confirmed', draft_edited=0, error=NULL, updated_at=CURRENT_TIMESTAMP "
+            "WHERE project_id = ? AND stage_key = 'script'",
+            (
+                json.dumps(content, ensure_ascii=False),
+                json.dumps(content, ensure_ascii=False),
+                project_id,
+            ),
+        )
+        conn.execute(
+            "UPDATE projects SET updated_at=CURRENT_TIMESTAMP WHERE id = ?", (project_id,)
+        )
+        conn.commit()
+        row = _load_stage(conn, project_id, "script")
+        return {"ok": True, "stage": _stage_public(row)}
+    finally:
+        conn.close()
+
+
+@router.post("/projects/{project_id}/generate")
+async def workbench_generate(project_id: int, payload: WorkbenchGenerateRequest) -> dict[str, Any]:
+    """In-flow generation (HEL-612 shared queue): one image or video job,
+    project-linked, tagged workbench so results come back to the project."""
+    conn = get_db(config.settings.db_path)
+    try:
+        _get_project(conn, project_id)
+        _stage_or_404(conn, project_id, payload.stage_key)
+        wf = conn.execute(
+            "SELECT * FROM workflows WHERE kind = ? AND is_enabled = 1 ORDER BY id ASC LIMIT 1",
+            (payload.kind,),
+        ).fetchone()
+        if not wf:
+            label = "生图" if payload.kind == "image" else "生视频"
+            raise HTTPException(
+                status_code=400,
+                detail=f"没有可用的{label}工作流：请先到「ComfyUI 连接」确认连接可用，"
+                "再到工作流管理导入并启用一个"
+                f"{label}工作流。",
+            )
+        workflow = row_to_dict(wf)
+    finally:
+        conn.close()
+
+    inputs = parse_dynamic_inputs(json.loads(workflow["workflow_json"] or "{}"))
+    duration = payload.duration_sec if payload.kind == "video" else None
+    input_values = smart_fill_inputs(
+        inputs,
+        prompt=payload.prompt,
+        negative_prompt=payload.negative_prompt or None,
+        duration=duration,
+    )
+
+    job = queue_manager.enqueue(
+        project_id=project_id,
+        kind=payload.kind,
+        workflow_id=int(workflow["id"]),
+        payload={
+            "input_values": input_values,
+            "prompt": payload.prompt,
+            "source": WORKBENCH_SOURCE,
+            "stage_key": payload.stage_key,
+            "target_id": payload.target_id,
+        },
+    )
+    await event_bus.publish(
+        "job.created",
+        {
+            "job_id": job["id"],
+            "kind": payload.kind,
+            "source": WORKBENCH_SOURCE,
+            "project_id": project_id,
+        },
+    )
+    return {"ok": True, "job": _job_public(job)}
@@ -5,41 +5,173 @@ from typing import Any

 from fastapi import APIRouter, HTTPException

-from calliope.comfyui.parser import parse_dynamic_inputs, parse_dynamic_outputs
+from calliope.comfyui.endpoints import client_for, endpoint_snapshot
+from calliope.comfyui.lint import blocking_problem, workflow_warnings
+from calliope.comfyui.metadata import suggested_metadata
+from calliope.comfyui.output_map import (
+    auto_output_map,
+    load_output_map,
+    mapping_problem,
+    needs_user_output_map,
+    validate_output_map,
+)
+from calliope.comfyui.parser import (
+    classify_usage,
+    effective_input_schema,
+    parse_dynamic_inputs,
+    parse_dynamic_outputs,
+)
+from calliope.comfyui.preflight import check_workflow_against
 from calliope.comfyui.profiles import detect_prompt_profile
+from calliope.comfyui.roles import usage_to_kind
+from calliope.comfyui.ui_convert import convert_ui_workflow
+from calliope.comfyui.validate import validate_input_values
 from calliope.config import settings
 from calliope.db import get_db, row_to_dict
-from calliope.models.schemas import WorkflowAnalyze, WorkflowCreate, WorkflowUpdate
+from calliope.events.bus import event_bus
+from calliope.models.schemas import (
+    WorkflowAnalyze,
+    WorkflowCheckRequest,
+    WorkflowConvertRequest,
+    WorkflowCreate,
+    WorkflowImportBatchRequest,
+    WorkflowImportScanRequest,
+    WorkflowTestRequest,
+    WorkflowUIFileItem,
+    WorkflowUpdate,
+)
+from calliope.queue.manager import queue_manager
+from calliope.queue.workflow_test import (
+    TEST_SOURCE,
+    find_active_test_job,
+    list_test_jobs,
+    purge_workflow_tests,
+)

 router = APIRouter()

+# HEL-681: metadata columns the lightweight list view exposes (everything
+# except the heavy workflow_json / input_schema / output_map payloads).
+_META_COLUMNS = (
+    "id, name, kind, usage, is_enabled, category, model_family, media_io, tags,"
+    " favorite, last_used_at, description, source, source_path, prompt_profile,"
+    " created_at, endpoint_id, usage_source, output_map_source"
+)
+

 def _serialize_workflow(row: Any) -> dict[str, Any]:
    data = row_to_dict(row)
    data["workflow_json"] = json.loads(data["workflow_json"])
-    data["input_schema"] = json.loads(data["input_schema"]) if data.get("input_schema") else []
-    data["output_schema"] = json.loads(data["output_schema"]) if data.get("output_schema") else []
+    stored = json.loads(data["input_schema"]) if data.get("input_schema") else []
+    data["input_schema"] = effective_input_schema(stored, data["workflow_json"])
+    # Outputs are pure graph derivation (no manual overrides) — always fresh,
+    # so parser upgrades reach old rows without a re-import.
+    data["output_schema"] = parse_dynamic_outputs(data["workflow_json"])
    data["is_enabled"] = bool(data.get("is_enabled"))
+    data["warnings"] = workflow_warnings(data["workflow_json"])
+    raw_map = data.get("output_map")
+    data["output_map"] = load_output_map(raw_map)
+    # Pending flag: unknown output candidates the user has not mapped yet.
+    data["needs_mapping"] = (
+        mapping_problem(data["workflow_json"], raw_map, data.get("output_map_source")) is not None
+    )
+    # HEL-681: structured library metadata (raw JSON columns → values).
+    data["media_io"] = _load_json_col(data.get("media_io"), {"in": [], "out": []})
+    data["tags"] = _load_json_col(data.get("tags"), [])
+    data["favorite"] = bool(data.get("favorite"))
    return data


+def _load_json_col(raw: Any, default: Any) -> Any:
+    try:
+        value = json.loads(raw) if raw else None
+    except (json.JSONDecodeError, TypeError):
+        value = None
+    return value if value is not None else default
+
+
+async def _connection_check(
+    endpoint_id: str | None, workflow_json: dict[str, Any], refresh: bool = False
+) -> dict[str, Any]:
+    """L2 preflight (HEL-643): workflow vs the target ComfyUI's /object_info.
+
+    An unreachable connection degrades to ``reachable: False`` with an honest
+    「无法核查」 message — it never blocks and never pretends to pass.
+    """
+    endpoint = settings.resolve_comfyui_endpoint(endpoint_id)
+    if endpoint is None:
+        return {
+            "ok": False,
+            "reachable": False,
+            "endpoint_id": endpoint_id,
+            "endpoint_name": None,
+            "findings": [],
+            "message": "没有可用的 ComfyUI 连接，无法核查节点与模型",
+        }
+    base = {
+        "endpoint_id": endpoint.get("id"),
+        "endpoint_name": endpoint.get("name"),
+        "base_url": endpoint.get("base_url"),
+    }
+    client = client_for(endpoint)
+    try:
+        object_info = await client.object_info(force_refresh=refresh)
+    except Exception as exc:
+        return {
+            **base,
+            "ok": False,
+            "reachable": False,
+            "findings": [],
+            "message": f"无法核查（连不上该 ComfyUI）：{type(exc).__name__}",
+        }
+    finally:
+        await client.close()
+    findings = check_workflow_against(object_info, workflow_json)
+    ok = not any(f.get("level") == "error" for f in findings)
+    return {**base, "ok": ok, "reachable": True, "findings": findings}
+
+
@router.post("/analyze")
 async def analyze_workflow(payload: WorkflowAnalyze) -> dict[str, Any]:
    inputs = parse_dynamic_inputs(payload.workflow_json)
    outputs = parse_dynamic_outputs(payload.workflow_json)
-    return {
+    judgment = classify_usage(payload.workflow_json)
+    result: dict[str, Any] = {
        "inputs": inputs,
        "outputs": outputs,
        "suggested_profile": detect_prompt_profile(payload.workflow_json),
+        "warnings": workflow_warnings(payload.workflow_json),
+        "usage": judgment["usage"],
+        "usage_ambiguous": judgment["ambiguous"],
+        "needs_mapping": judgment["needs_mapping"],
+        "usage_problem": judgment["problem"],
+        "usage_evidence": judgment["evidence"],
+        "usable_usage": judgment["usable_usage"],
    }
+    # L2 (optional): with a target connection the analyze response also
+    # reports which nodes/models that ComfyUI actually has (HEL-643).
+    if payload.endpoint_id:
+        result["connection_check"] = await _connection_check(
+            payload.endpoint_id, payload.workflow_json, payload.refresh
+        )
+    return result
+
+
+def _stored_schema(payload_schema: list[dict[str, Any]] | None, workflow: dict[str, Any]) -> str:
+    """Schema to persist: the confirm page's corrected copy, else the auto one."""
+    if payload_schema and all(isinstance(e, dict) for e in payload_schema):
+        return json.dumps(payload_schema)
+    return json.dumps(parse_dynamic_inputs(workflow))


@router.post("/{workflow_id}/reanalyze")
 async def reanalyze_workflow(workflow_id: int) -> dict[str, Any]:
-    """Recompute input/output schemas from the stored workflow JSON.
+    """Recompute usage and input/output schemas from the stored workflow JSON.

    Workflows imported before a parser upgrade keep stale (often empty)
-    schemas — this refreshes them without re-importing.
+    schemas — this refreshes them without re-importing. A usage or output
+    mapping the user set by hand is never overwritten; only ``auto`` (and
+    pending NULL) rows get the new judgment.
    """
    conn = get_db(settings.db_path)
    try:
@@ -48,11 +180,40 @@ async def reanalyze_workflow(workflow_id: int) -> dict[str, Any]:
            raise HTTPException(status_code=404, detail="Workflow not found")
        data = row_to_dict(row)
        workflow = json.loads(data["workflow_json"])
-        inputs = parse_dynamic_inputs(workflow)
+        judgment = classify_usage(workflow)
+        usage = data["usage"]
+        usage_source = data["usage_source"]
+        if data["usage_source"] != "user" and judgment["usage"]:
+            usage = judgment["usage"]
+            usage_source = "auto"
+        stored = json.loads(data["input_schema"]) if data["input_schema"] else []
+        schema = effective_input_schema(stored, workflow)
        outputs = parse_dynamic_outputs(workflow)
+        if data["output_map_source"] == "user":
+            output_map, output_map_source = data["output_map"], "user"
+        elif needs_user_output_map(workflow):
+            # Unknown output candidates: no auto map, and the row must not
+            # generate until the user designates the output nodes.
+            output_map, output_map_source = None, None
+        else:
+            output_map, output_map_source = json.dumps(auto_output_map(workflow)), "auto"
+        is_enabled = data["is_enabled"]
+        if output_map_source is None or usage is None:
+            is_enabled = 0
        conn.execute(
-            "UPDATE workflows SET input_schema = ?, output_schema = ? WHERE id = ?",
-            (json.dumps(inputs), json.dumps(outputs), workflow_id),
+            "UPDATE workflows SET input_schema = ?, output_schema = ?,"
+            " usage = ?, usage_source = ?, output_map = ?, output_map_source = ?,"
+            " is_enabled = ? WHERE id = ?",
+            (
+                json.dumps(schema),
+                json.dumps(outputs),
+                usage,
+                usage_source,
+                output_map,
+                output_map_source,
+                is_enabled,
+                workflow_id,
+            ),
        )
        conn.commit()
        fresh = conn.execute(
@@ -63,16 +224,86 @@ async def reanalyze_workflow(workflow_id: int) -> dict[str, Any]:
        conn.close()


+def _last_test_summary(job: dict[str, Any]) -> dict[str, Any]:
+    """Slim "上次测试" record for a workflow row (queried live, never stored)."""
+    try:
+        outputs = json.loads(job.get("output_paths_json") or "[]")
+    except (json.JSONDecodeError, TypeError):
+        outputs = []
+    return {
+        "id": job["id"],
+        "status": job.get("status"),
+        "phase": job.get("phase"),
+        "error": job.get("error"),
+        "created_at": job.get("created_at"),
+        "completed_at": job.get("completed_at"),
+        "output_count": len(outputs) if isinstance(outputs, list) else 0,
+    }
+
+
@router.get("")
-async def list_workflows() -> list[dict[str, Any]]:
+async def list_workflows(view: str | None = None) -> list[dict[str, Any]]:
    conn = get_db(settings.db_path)
    try:
+        if view == "meta":
+            # HEL-681: metadata-only list for 150+ scale browsing — no
+            # workflow_json, no per-row re-parse. `needs_mapping` here is the
+            # cheap pending check (usage/output_map not yet settled); rows
+            # that never generated keep showing as pending exactly like the
+            # full view reports them.
+            rows = conn.execute(
+                f"SELECT {_META_COLUMNS} FROM workflows ORDER BY favorite DESC,"
+                " last_used_at DESC, id DESC"
+            ).fetchall()
+            out = []
+            for row in rows:
+                data = row_to_dict(row)
+                data["is_enabled"] = bool(data.get("is_enabled"))
+                data["favorite"] = bool(data.get("favorite"))
+                data["media_io"] = _load_json_col(data.get("media_io"), {"in": [], "out": []})
+                data["tags"] = _load_json_col(data.get("tags"), [])
+                data["needs_mapping"] = data.get("usage") is None or data.get(
+                    "output_map_source"
+                ) is None
+                out.append(data)
+            return out
        rows = conn.execute("SELECT * FROM workflows ORDER BY id DESC").fetchall()
-        return [_serialize_workflow(r) for r in rows]
+        out = [_serialize_workflow(r) for r in rows]
+        # 上次测试 state is read live from the newest test job per workflow —
+        # no cached column that could go stale (HEL-643).
+        latest: dict[int, dict[str, Any]] = {}
+        for jr in conn.execute(
+            "SELECT * FROM jobs WHERE origin = 'workflow_test' AND id IN"
+            " (SELECT MAX(id) FROM jobs WHERE origin = 'workflow_test' GROUP BY workflow_id)"
+        ).fetchall():
+            latest[int(jr["workflow_id"])] = _last_test_summary(dict(jr))
+        for data in out:
+            data["last_test"] = latest.get(int(data["id"]))
+        return out
    finally:
        conn.close()


+@router.post("/{workflow_id}/check")
+async def check_workflow(workflow_id: int, payload: WorkflowCheckRequest) -> dict[str, Any]:
+    """L2 re-check of a saved workflow against its (or a chosen) connection.
+
+    The user installs missing nodes/models in ComfyUI, comes back here and
+    re-checks — no re-import needed.
+    """
+    conn = get_db(settings.db_path)
+    try:
+        row = conn.execute(
+            "SELECT workflow_json, endpoint_id FROM workflows WHERE id = ?", (workflow_id,)
+        ).fetchone()
+    finally:
+        conn.close()
+    if not row:
+        raise HTTPException(status_code=404, detail="Workflow not found")
+    endpoint_id = payload.endpoint_id or row["endpoint_id"]
+    return await _connection_check(endpoint_id, json.loads(row["workflow_json"]), payload.refresh)
+
+
@router.post("/dedupe")
 async def dedupe_workflows() -> dict[str, Any]:
    """Delete byte-identical duplicate workflows, keeping the lowest id.
@@ -110,36 +341,77 @@ async def dedupe_workflows() -> dict[str, Any]:

@router.post("")
 async def create_workflow(payload: WorkflowCreate) -> dict[str, Any]:
-    inputs = parse_dynamic_inputs(payload.workflow_json)
-    outputs = parse_dynamic_outputs(payload.workflow_json)
+    judgment = classify_usage(payload.workflow_json)
+    usage = payload.usage or judgment["usage"]
+    usage_source = "user" if payload.usage else "auto"
+    kind = payload.kind or usage_to_kind(usage)
+    if kind is None:
+        # Indeterminate and nothing chosen: classify_output hint keeps old
+        # callers working while the workflow stays pending confirmation.
+        out_kinds = {
+            o.get("kind")
+            for o in parse_dynamic_outputs(payload.workflow_json)
+            if o.get("kind") in ("image", "video")
+        }
+        kind = "video" if out_kinds == {"video"} else "image"
    profile = payload.prompt_profile or detect_prompt_profile(payload.workflow_json)
+    # HEL-638: an explicit user output map wins; otherwise the trusted auto
+    # map. Either way a graph with unknown output candidates is unusable
+    # until the user designates the output nodes.
+    if payload.output_map:
+        problems = validate_output_map(payload.workflow_json, payload.output_map)
+        if problems:
+            raise HTTPException(status_code=422, detail="；".join(problems))
+        output_map = json.dumps(payload.output_map)
+        output_map_source = payload.output_map_source or "user"
+    else:
+        auto_map = auto_output_map(payload.workflow_json)
+        output_map = json.dumps(auto_map) if auto_map else None
+        output_map_source = "auto" if auto_map else None
+    mapping_ok = not needs_user_output_map(payload.workflow_json) or bool(payload.output_map)
    conn = get_db(settings.db_path)
    try:
        # Byte-identical re-imports are the main way the library fills up with
        # same-named clones (the "@" typeahead then shows 20 identical rows).
        existing = conn.execute(
            "SELECT id, name FROM workflows WHERE name = ? AND kind = ? AND workflow_json = ?",
-            (payload.name, payload.kind, json.dumps(payload.workflow_json)),
+            (payload.name, kind, json.dumps(payload.workflow_json)),
        ).fetchone()
        if existing:
            raise HTTPException(
                status_code=409,
-                detail=f"An identical workflow already exists (id {existing['id']}, “{existing['name']}”).",
+                detail=(
+                    f"An identical workflow already exists (id {existing['id']},"
+                    f" “{existing['name']}”)."
+                ),
            )
+        # Unconfirmed workflows (ambiguous usage / unknown outputs without a
+        # user mapping) are stored but disabled: they must not reach the
+        # generate pages until the user confirms usage AND, for unknown
+        # output nodes, designates the outputs on the connections page.
+        is_enabled = 1 if (usage and mapping_ok) else 0
        cur = conn.execute(
            """
            INSERT INTO workflows (name, kind, workflow_json, input_schema,
-                                   output_schema, description, prompt_profile, is_enabled)
-            VALUES (?, ?, ?, ?, ?, ?, ?, 1)
+                                   output_schema, description, prompt_profile,
+                                   endpoint_id, is_enabled, usage, usage_source,
+                                   output_map, output_map_source)
+            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
            """,
            (
                payload.name,
-                payload.kind,
+                kind,
                json.dumps(payload.workflow_json),
-                json.dumps(inputs),
-                json.dumps(outputs),
+                _stored_schema(payload.input_schema, payload.workflow_json),
+                json.dumps(parse_dynamic_outputs(payload.workflow_json)),
                payload.description,
                profile,
+                payload.endpoint_id,
+                is_enabled,
+                usage,
+                usage_source,
+                output_map,
+                output_map_source,
            ),
        )
        conn.commit()
@@ -171,7 +443,60 @@ async def update_workflow(workflow_id: int, payload: WorkflowUpdate) -> dict[str
        data = payload.model_dump(exclude_unset=True)
        if "is_enabled" in data and data["is_enabled"] is not None:
            data["is_enabled"] = 1 if data["is_enabled"] else 0
-        data = {k: v for k, v in data.items() if v is not None}
+        # HEL-681: library metadata patch fields (favorite/tags/category/
+        # model_family) — booleans to ints, lists to JSON text.
+        if "favorite" in data and data["favorite"] is not None:
+            data["favorite"] = 1 if data["favorite"] else 0
+        if data.get("tags") is not None:
+            data["tags"] = json.dumps(data["tags"])
+        workflow_json = json.loads(existing["workflow_json"])
+        # HEL-638: output_map payload. A non-empty list validates against the
+        # stored JSON and becomes the user decision; an explicit empty list
+        # resets the row to pending (disabled).
+        if "output_map" in data:
+            if data["output_map"]:
+                problems = validate_output_map(workflow_json, data["output_map"])
+                if problems:
+                    raise HTTPException(status_code=422, detail="；".join(problems))
+                data["output_map"] = json.dumps(data["output_map"])
+                data.setdefault("output_map_source", "user")
+            else:
+                data["output_map"] = None
+                data["output_map_source"] = None
+                data["is_enabled"] = 0
+        if data.get("usage"):
+            # Confirming / correcting the usage is an explicit user decision:
+            # kind (output media) follows the usage. Whether it re-enables is
+            # decided by the gate below — with unknown output nodes the user
+            # must also designate the output nodes (HEL-638).
+            data.setdefault("usage_source", "user")
+            data["kind"] = usage_to_kind(data["usage"]) or existing["kind"]
+        if "input_schema" in data and data["input_schema"] is not None:
+            if not all(isinstance(e, dict) for e in data["input_schema"]):
+                raise HTTPException(status_code=422, detail="input_schema 必须是参数对象数组")
+            data["input_schema"] = json.dumps(data["input_schema"])
+        # endpoint_id: explicit null clears the binding; other Nones are skips
+        # (an output_map reset keeps its explicit NULLs).
+        explicit_null = {"endpoint_id", "output_map", "output_map_source"} & {
+            k for k, v in data.items() if v is None
+        }
+        data = {k: v for k, v in data.items() if v is not None or k in explicit_null}
+
+        # Enable gate: usage must be settled and, when the graph carries
+        # unknown custom output nodes, a user output mapping must exist.
+        usage_ok = bool(data.get("usage") or existing["usage"])
+        map_raw = data.get("output_map", existing["output_map"])
+        map_source = data.get("output_map_source", existing["output_map_source"])
+        map_problem = mapping_problem(workflow_json, map_raw, map_source)
+        if data.get("is_enabled"):
+            if not usage_ok:
+                raise HTTPException(status_code=400, detail="请先选择工作流用途，再启用该工作流")
+            if map_problem:
+                raise HTTPException(status_code=400, detail=map_problem)
+        elif (data.get("usage") or data.get("output_map")) and "is_enabled" not in data:
+            # A usage-confirm or output-map-confirm path: enabled only when
+            # both decisions are settled.
+            data["is_enabled"] = 1 if (usage_ok and not map_problem) else 0
        if data:
            fields = ", ".join(f"{k} = :{k}" for k in data)
            data["id"] = workflow_id
@@ -183,14 +508,426 @@ async def update_workflow(workflow_id: int, payload: WorkflowUpdate) -> dict[str
        conn.close()


+def _job_public(job: dict[str, Any]) -> dict[str, Any]:
+    out = dict(job)
+    out["payload"] = json.loads(job.get("payload_json") or "{}")
+    out["output_paths"] = json.loads(job.get("output_paths_json") or "[]")
+    out.pop("payload_json", None)
+    out.pop("output_paths_json", None)
+    return out
+
+
+@router.post("/{workflow_id}/test")
+async def test_workflow(workflow_id: int, payload: WorkflowTestRequest) -> dict[str, Any]:
+    """Launch (or re-attach to) one REAL test run of a workflow (HEL-643 L3).
+
+    The job goes through the ordinary queue → ComfyUI → outputs pipeline;
+    only its artifacts and bookkeeping are isolated (origin='workflow_test').
+    A dry-run setting is refused outright — placeholder output must never
+    count as a test pass. Repeat clicks reuse the in-flight job.
+    """
+    from calliope import config
+
+    if config.settings.dry_run:
+        raise HTTPException(
+            status_code=400,
+            detail=(
+                "测试工作流必须真实运行：当前设置开启了 Dry-run（占位模式），"
+                "请到「设置」关闭 Dry-run 后再测试"
+            ),
+        )
+    conn = get_db(settings.db_path)
+    try:
+        wf = conn.execute(
+            "SELECT id, kind, workflow_json, input_schema, output_map, output_map_source,"
+            " endpoint_id FROM workflows WHERE id = ?",
+            (workflow_id,),
+        ).fetchone()
+        if not wf:
+            raise HTTPException(status_code=404, detail="Workflow not found")
+        workflow_json = json.loads(wf["workflow_json"])
+        broken = blocking_problem(workflow_json)
+        if broken:
+            raise HTTPException(status_code=400, detail=broken)
+        map_problem = mapping_problem(workflow_json, wf["output_map"], wf["output_map_source"])
+        if map_problem:
+            raise HTTPException(status_code=400, detail=map_problem)
+        schema = effective_input_schema(
+            json.loads(wf["input_schema"]) if wf["input_schema"] else [], workflow_json
+        )
+        input_values, problems = validate_input_values(schema, payload.input_values)
+        if problems:
+            raise HTTPException(status_code=400, detail="参数有误：" + "；".join(problems))
+
+        endpoint_id = payload.endpoint_id or wf["endpoint_id"] or None
+        snapshot = endpoint_snapshot(endpoint_id)
+        active = find_active_test_job(workflow_id, (snapshot or {}).get("id"))
+        if active is not None:
+            return {"ok": True, "job": _job_public(active), "reused": True}
+
+        from calliope.routers.playground import ensure_playground_project
+
+        pid = ensure_playground_project(conn)
+    finally:
+        conn.close()
+
+    job = queue_manager.enqueue(
+        project_id=pid,
+        kind=wf["kind"],
+        workflow_id=workflow_id,
+        scene_id=None,
+        payload={
+            "input_values": input_values,
+            "source": TEST_SOURCE,
+            **({"endpoint_id": payload.endpoint_id} if payload.endpoint_id else {}),
+        },
+        origin="workflow_test",
+    )
+    await event_bus.publish(
+        "job.created",
+        {"job_id": job["id"], "kind": job["kind"], "source": TEST_SOURCE,
+         "project_id": job["project_id"], "workflow_test": True},
+    )
+    return {"ok": True, "job": _job_public(job), "reused": False}
+
+
+@router.get("/{workflow_id}/tests")
+async def list_workflow_tests(workflow_id: int) -> list[dict[str, Any]]:
+    conn = get_db(settings.db_path)
+    try:
+        row = conn.execute("SELECT id FROM workflows WHERE id = ?", (workflow_id,)).fetchone()
+    finally:
+        conn.close()
+    if not row:
+        raise HTTPException(status_code=404, detail="Workflow not found")
+    return list_test_jobs(workflow_id)
+
+
+@router.post("/{workflow_id}/clear-tests")
+async def clear_workflow_tests(workflow_id: int) -> dict[str, Any]:
+    """Delete every test record and artifact for this workflow."""
+    conn = get_db(settings.db_path)
+    try:
+        row = conn.execute("SELECT id FROM workflows WHERE id = ?", (workflow_id,)).fetchone()
+    finally:
+        conn.close()
+    if not row:
+        raise HTTPException(status_code=404, detail="Workflow not found")
+    try:
+        removed = purge_workflow_tests(workflow_id)
+    except RuntimeError as exc:
+        raise HTTPException(status_code=409, detail=str(exc)) from exc
+    await event_bus.publish("job.deleted", {"workflow_id": workflow_id, "source": TEST_SOURCE})
+    return {"ok": True, "removed": removed}
+
+
@router.delete("/{workflow_id}")
 async def delete_workflow(workflow_id: int) -> dict[str, bool]:
    conn = get_db(settings.db_path)
    try:
-        cur = conn.execute("DELETE FROM workflows WHERE id = ?", (workflow_id,))
-        conn.commit()
-        if cur.rowcount == 0:
+        # HEL-619: refuse to delete while queued/running jobs still use the
+        # workflow — deleting sets their workflow_id NULL and the job dies
+        # with "工作流已被删除" only after the user waits for it.
+        row = conn.execute(
+            "SELECT id FROM workflows WHERE id = ?", (workflow_id,)
+        ).fetchone()
+        if not row:
            raise HTTPException(status_code=404, detail="Workflow not found")
+        pending = conn.execute(
+            "SELECT COUNT(*) AS n FROM jobs"
+            " WHERE workflow_id = ? AND status IN ('pending', 'running')",
+            (workflow_id,),
+        ).fetchone()["n"]
+        if pending:
+            raise HTTPException(
+                status_code=409,
+                detail=(
+                    f"该工作流还有 {pending} 个排队或执行中的任务，"
+                    "请先等任务完成或取消任务，再删除该工作流"
+                ),
+            )
+        # Test records/artifacts belong to the workflow — cascade (HEL-643).
+        # The 409 above guarantees none are in flight here.
+        purge_workflow_tests(workflow_id, allow_active=True)
+        conn.execute("DELETE FROM workflows WHERE id = ?", (workflow_id,))
+        conn.commit()
+        return {"ok": True}
+    finally:
+        conn.close()
+
+
+# ---------------------------------------------------------------------------
+# HEL-681 (S2): UI→API conversion dry-run + batch import + repo scan.
+# The convert endpoint never writes; import-batch converts again server-side
+# and skips anything uncertain (needs_confirmation / lint-blocked / conflict)
+# — repeated runs import nothing new, so the batch is idempotent by design.
+# ---------------------------------------------------------------------------
+
+
+def _convert_one(item: WorkflowUIFileItem) -> tuple[dict[str, Any], dict[str, Any] | None]:
+    """(report, converted workflow) for one UI file — shared by every
+    convert/import path so the analysis can never drift between them."""
+    result = convert_ui_workflow(item.workflow_json)
+    stem = (
+        item.source_path.replace("\\", "/").rsplit("/", 1)[-1].removesuffix(".json")
+        if item.source_path
+        else None
+    )
+    name = item.name or stem or "未命名工作流"
+    report: dict[str, Any] = {
+        "name": name,
+        "source_path": item.source_path,
+        "status": result.status,
+        "needs_confirmation": result.needs_confirmation,
+        "issues": [
+            {"node_id": i.node_id, "code": i.code, "level": i.level, "message": i.message}
+            for i in result.issues
+        ],
+    }
+    if result.workflow is None:
+        report["importable"] = False
+        report["skip_reason"] = "转换失败：" + (
+            result.issues[0].message if result.issues else "未知错误"
+        )
+        return report, None
+    suggested = suggested_metadata(result.workflow, item.source_path, item.workflow_json)
+    report["suggested"] = suggested
+    # The import gate re-runs the product's own checks — a converted graph
+    # that the lint would block (missing model link etc.) is reported, not
+    # silently imported.
+    broken = blocking_problem(result.workflow)
+    if broken:
+        report["importable"] = False
+        report["skip_reason"] = broken
+        report["status"] = "warn"
+        return report, result.workflow
+    if result.needs_confirmation:
+        report["importable"] = False
+        report["skip_reason"] = "存在无法可靠映射的控件，需人工确认后重导"
+        return report, result.workflow
+    report["importable"] = True
+    return report, result.workflow
+
+
+@router.post("/convert")
+async def convert_workflows(payload: WorkflowConvertRequest) -> dict[str, Any]:
+    """Dry-run UI→API conversion for a batch of files: per-file ok/warn/fail,
+    issues, suggested metadata and importability. Nothing is stored."""
+    files = []
+    object_info: dict[str, Any] | None = None
+    client = None
+    if payload.endpoint_id:
+        endpoint = settings.resolve_comfyui_endpoint(payload.endpoint_id)
+        if endpoint is not None:
+            client = client_for(endpoint)
+            try:
+                object_info = await client.object_info(force_refresh=payload.refresh)
+            except Exception:
+                object_info = None
+    try:
+        for item in payload.files:
+            report, converted = _convert_one(item)
+            if object_info is not None and report.get("importable") and converted:
+                findings = check_workflow_against(object_info, converted)
+                errors = [f for f in findings if f.get("level") == "error"]
+                report["preflight"] = {
+                    "endpoint_id": payload.endpoint_id,
+                    "ok": not errors,
+                    "findings": findings,
+                }
+                if errors:
+                    report["importable"] = False
+                    report["skip_reason"] = errors[0].get("message") or "preflight 未通过"
+            if payload.include_workflows:
+                report["workflow_json"] = converted
+            files.append(report)
+    finally:
+        if client is not None:
+            await client.close()
+    counts = {key: sum(1 for f in files if f["status"] == key) for key in ("ok", "warn", "fail")}
+    return {
+        "total": len(files),
+        **counts,
+        "needs_confirmation": sum(1 for f in files if f["needs_confirmation"]),
+        "importable": sum(1 for f in files if f.get("importable")),
+        "files": files,
+    }
+
+
+def _insert_converted(
+    conn: Any, item: WorkflowUIFileItem, report: dict[str, Any], converted: dict[str, Any]
+) -> dict[str, Any]:
+    """Insert one converted workflow row (import-batch's write path).
+
+    Mirrors create_workflow's enable gate: usage must be settled (auto or the
+    wizard's confirmation) and unknown outputs need a mapping; anything less
+    lands disabled exactly like a manual import would.
+    """
+    suggested = report["suggested"]
+    judgment = classify_usage(converted)
+    usage = item.usage or judgment["usage"]
+    usage_source = "user" if item.usage else "auto"
+    kind = usage_to_kind(usage) or suggested["kind"]
+    profile = detect_prompt_profile(converted)
+    if item.output_map:
+        problems = validate_output_map(converted, item.output_map)
+        if problems:
+            raise HTTPException(status_code=422, detail="；".join(problems))
+        output_map = json.dumps(item.output_map)
+        output_map_source = "user"
+    else:
+        auto_map = auto_output_map(converted)
+        output_map = json.dumps(auto_map) if auto_map else None
+        output_map_source = "auto" if auto_map else None
+    mapping_ok = not needs_user_output_map(converted) or bool(item.output_map)
+    workflow_text = json.dumps(converted)
+    existing = conn.execute(
+        "SELECT id FROM workflows WHERE name = ? AND kind = ? AND workflow_json = ?",
+        (report["name"], kind, workflow_text),
+    ).fetchone()
+    if existing:
+        return {
+            "result": "skipped",
+            "skip_reason": "conflict",
+            "existing_id": existing["id"],
+        }
+    is_enabled = 1 if (usage and mapping_ok) else 0
+    cur = conn.execute(
+        """
+        INSERT INTO workflows (name, kind, workflow_json, input_schema, output_schema,
+                               description, prompt_profile, endpoint_id, is_enabled,
+                               usage, usage_source, output_map, output_map_source,
+                               category, model_family, media_io, tags, favorite,
+                               source, source_path)
+        VALUES (?, ?, ?, ?, ?, ?, ?, NULL, ?, ?, ?, ?, ?, ?, ?, ?, ?, 0, 'ui_convert', ?)
+        """,
+        (
+            report["name"],
+            kind,
+            workflow_text,
+            json.dumps(
+                item.input_schema if item.input_schema else parse_dynamic_inputs(converted)
+            ),
+            json.dumps(parse_dynamic_outputs(converted)),
+            item.description if item.description is not None else suggested["description"],
+            profile,
+            is_enabled,
+            usage,
+            usage_source,
+            output_map,
+            output_map_source,
+            suggested["category"],
+            suggested["model_family"],
+            json.dumps({"in": suggested["media_in"], "out": suggested["media_out"]}),
+            json.dumps(item.tags or []),
+            item.source_path,
+        ),
+    )
+    return {"result": "imported", "id": cur.lastrowid}
+
+
+async def _run_import(items: list[WorkflowUIFileItem]) -> dict[str, Any]:
+    reports: list[dict[str, Any]] = []
+    conn = get_db(settings.db_path)
+    try:
+        for item in items:
+            report, converted = _convert_one(item)
+            if not report.get("importable"):
+                report["result"] = "skipped"
+                reports.append(report)
+                continue
+            try:
+                outcome = _insert_converted(conn, item, report, converted)
+            except HTTPException as exc:
+                report["result"] = "failed"
+                report["skip_reason"] = str(exc.detail)
+                reports.append(report)
+                continue
+            conn.commit()
+            report.update(outcome)
+            reports.append(report)
+    finally:
+        conn.close()
+    imported = [r for r in reports if r.get("result") == "imported"]
+    skipped = [
+        {"name": r["name"], "source_path": r["source_path"], "reason": r.get("skip_reason")}
+        for r in reports
+        if r.get("result") != "imported"
+    ]
+    return {
+        "total": len(reports),
+        "imported": len(imported),
+        "skipped": len(skipped),
+        "imported_ids": [r["id"] for r in imported],
+        "skipped_files": skipped,
+        "files": reports,
+    }
+
+
+@router.post("/import-batch")
+async def import_workflows_batch(payload: WorkflowImportBatchRequest) -> dict[str, Any]:
+    """Batch-import UI-format workflows: convert server-side, insert what is
+    cleanly convertible, skip conflicts and anything uncertain. Re-running
+    with the same files creates zero new rows."""
+    return await _run_import(payload.files)
+
+
+@router.post("/import-scan")
+async def import_workflows_scan(payload: WorkflowImportScanRequest) -> dict[str, Any]:
+    """Scan a server-side directory for UI-format workflow JSONs and run the
+    convert (dry_run, default) or import pipeline over every file found."""
+    from pathlib import Path
+
+    root = Path(payload.root)
+    if not root.is_absolute():
+        candidates = [
+            Path.cwd() / root,
+            Path(__file__).resolve().parents[4] / root,
+        ]
+        root = next((c for c in candidates if c.is_dir()), root)
+    if not root.is_dir():
+        raise HTTPException(status_code=404, detail=f"目录不存在：{payload.root}")
+    items: list[WorkflowUIFileItem] = []
+    for path in sorted(root.rglob("*.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except (json.JSONDecodeError, OSError):
+            continue
+        if not (isinstance(data, dict) and isinstance(data.get("nodes"), list)):
+            continue  # API-format or non-workflow files: not this pipeline's job
+        items.append(
+            WorkflowUIFileItem(
+                source_path=str(path.relative_to(root)), workflow_json=data
+            )
+        )
+    if payload.dry_run:
+        files = [_convert_one(item)[0] for item in items]
+        counts = {
+            key: sum(1 for f in files if f["status"] == key) for key in ("ok", "warn", "fail")
+        }
+        return {
+            "total": len(files),
+            **counts,
+            "needs_confirmation": sum(1 for f in files if f["needs_confirmation"]),
+            "importable": sum(1 for f in files if f.get("importable")),
+            "files": files,
+        }
+    return await _run_import(items)
+
+
+@router.post("/{workflow_id}/touch")
+async def touch_workflow(workflow_id: int) -> dict[str, bool]:
+    """Record a use (最近使用) — called by the generate pipeline on enqueue."""
+    conn = get_db(settings.db_path)
+    try:
+        row = conn.execute("SELECT id FROM workflows WHERE id = ?", (workflow_id,)).fetchone()
+        if not row:
+            raise HTTPException(status_code=404, detail="Workflow not found")
+        conn.execute(
+            "UPDATE workflows SET last_used_at = CURRENT_TIMESTAMP WHERE id = ?",
+            (workflow_id,),
+        )
+        conn.commit()
        return {"ok": True}
    finally:
        conn.close()
@@ -10,6 +10,10 @@ from fastapi.testclient import TestClient
 from calliope.db import migrate_db
 from calliope.main import create_app

+# Shared fake-ComfyUI HTTP server (defined in test_studio_generation,
+# reused by the generation / status / unknown-output-mapping suites).
+from tests.test_studio_generation import fake_comfy  # noqa: F401,E402
+

@pytest.fixture
 def client(monkeypatch):
@@ -0,0 +1,322 @@
+{
+  "1": {
+    "inputs": {
+      "value": "PASTE YOUR PROMPT HERE. For image-to-video describe the motion from the first frame; the frame fixes the look. Use the MiniMax-H3 prompt contract (integrated_multimodal_description / overall_soundscape / non_diegetic_music)."
+    },
+    "class_type": "PrimitiveStringMultiline",
+    "_meta": {
+      "title": "PROMPT (feeds every stage)"
+    }
+  },
+  "92": {
+    "inputs": {
+      "filename_prefix": "video/04_i2v_fl2v_4step_sla",
+      "format": "auto",
+      "format.codec": "auto",
+      "codec": "auto",
+      "video": [
+        "130",
+        0
+      ]
+    },
+    "class_type": "SaveVideo",
+    "_meta": {
+      "title": "REFERENCE 2026-08-29: fused ref-delta bake + SLA 0.9/64, res_multistep/simple/4, shift 12/3, 1152x640, 243 f, seed 42 -> subway_bake_sla_00001_.mp4"
+    }
+  },
+  "115": {
+    "inputs": {
+      "aspect_ratio": "16:9 (Widescreen)",
+      "megapixels": 0.7,
+      "multiple": 32
+    },
+    "class_type": "ResolutionSelector",
+    "_meta": {
+      "title": "ResolutionSelector"
+    }
+  },
+  "116": {
+    "inputs": {
+      "expression": "a"
+    },
+    "class_type": "ComfyMathExpression",
+    "_meta": {
+      "title": "ComfyMathExpression"
+    }
+  },
+  "119": {
+    "inputs": {
+      "vae_name": "minimax_h3_video_vae_int8_convrot.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "VAELoader"
+    }
+  },
+  "120": {
+    "inputs": {
+      "vae_name": "minimax_h3_audio_vae_fp32.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "VAELoader"
+    }
+  },
+  "121": {
+    "inputs": {
+      "samples": [
+        "125",
+        0
+      ],
+      "vae": [
+        "120",
+        0
+      ]
+    },
+    "class_type": "VAEDecodeAudio",
+    "_meta": {
+      "title": "VAEDecodeAudio"
+    }
+  },
+  "122": {
+    "inputs": {
+      "samples": [
+        "125",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAEDecode"
+    }
+  },
+  "124": {
+    "inputs": {
+      "scheduler": "simple",
+      "steps": 4,
+      "denoise": 1,
+      "model": [
+        "142",
+        0
+      ]
+    },
+    "class_type": "BasicScheduler",
+    "_meta": {
+      "title": "BasicScheduler"
+    }
+  },
+  "125": {
+    "inputs": {
+      "noise": [
+        "129",
+        0
+      ],
+      "guider": [
+        "126",
+        0
+      ],
+      "sampler": [
+        "135",
+        0
+      ],
+      "sigmas": [
+        "124",
+        0
+      ],
+      "latent_image": [
+        "131",
+        1
+      ]
+    },
+    "class_type": "SamplerCustomAdvanced",
+    "_meta": {
+      "title": "SamplerCustomAdvanced"
+    }
+  },
+  "126": {
+    "inputs": {
+      "model": [
+        "142",
+        0
+      ],
+      "conditioning": [
+        "131",
+        0
+      ]
+    },
+    "class_type": "BasicGuider",
+    "_meta": {
+      "title": "BasicGuider"
+    }
+  },
+  "127": {
+    "inputs": {
+      "unet_name": "minimax_h3_fused_refdelta_r1024_turbo8_mystic07_int8_convrot.safetensors",
+      "weight_dtype": "default"
+    },
+    "class_type": "UNETLoader",
+    "_meta": {
+      "title": "UNETLoader"
+    }
+  },
+  "128": {
+    "inputs": {
+      "clip_name": "qwen3vl_32b_heretic_minimax_h3_nvfp4.safetensors",
+      "type": "minimax",
+      "device": "default"
+    },
+    "class_type": "CLIPLoader",
+    "_meta": {
+      "title": "CLIPLoader"
+    }
+  },
+  "129": {
+    "inputs": {
+      "noise_seed": 42
+    },
+    "class_type": "RandomNoise",
+    "_meta": {
+      "title": "RandomNoise"
+    }
+  },
+  "130": {
+    "inputs": {
+      "fps": 24,
+      "bit_depth": 8,
+      "color_space": "sRGB",
+      "codec": "none",
+      "images": [
+        "122",
+        0
+      ],
+      "audio": [
+        "121",
+        0
+      ]
+    },
+    "class_type": "CreateVideo",
+    "_meta": {
+      "title": "CreateVideo"
+    }
+  },
+  "131": {
+    "inputs": {
+      "prompt": [
+        "1",
+        0
+      ],
+      "width": [
+        "115",
+        0
+      ],
+      "height": [
+        "115",
+        1
+      ],
+      "length": [
+        "132",
+        1
+      ],
+      "clip": [
+        "128",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ],
+      "first_frame": [
+        "901",
+        0
+      ]
+    },
+    "class_type": "MiniMaxH3ImageToVideo",
+    "_meta": {
+      "title": "MiniMaxH3ImageToVideo"
+    }
+  },
+  "132": {
+    "inputs": {
+      "expression": "max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17",
+      "values.a": [
+        "133",
+        0
+      ]
+    },
+    "class_type": "ComfyMathExpression",
+    "_meta": {
+      "title": "ComfyMathExpression"
+    }
+  },
+  "133": {
+    "inputs": {
+      "value": 10
+    },
+    "class_type": "PrimitiveFloat",
+    "_meta": {
+      "title": "PrimitiveFloat"
+    }
+  },
+  "135": {
+    "inputs": {
+      "sampler_name": "res_multistep"
+    },
+    "class_type": "KSamplerSelect",
+    "_meta": {
+      "title": "KSamplerSelect"
+    }
+  },
+  "142": {
+    "inputs": {
+      "shift_video": 12,
+      "shift_audio": 3,
+      "model": [
+        "900",
+        0
+      ]
+    },
+    "class_type": "MiniMaxH3SigmaShift",
+    "_meta": {
+      "title": "MiniMaxH3SigmaShift"
+    }
+  },
+  "900": {
+    "inputs": {
+      "sparsity_ratio": 0.9,
+      "block_size": "64",
+      "min_seq_len": 8192,
+      "dense_last_steps": 0,
+      "protect_audio": true,
+      "enabled": true,
+      "dense_steps": "1",
+      "dense_backend": "comfy_kitchen",
+      "disable_fp16_accum": true,
+      "stabilize_motion": false,
+      "reference_protection": "Off",
+      "tail_correction": false,
+      "use_int8_qk": true,
+      "engine": "comfy_kitchen",
+      "model": [
+        "127",
+        0
+      ]
+    },
+    "class_type": "H3SLAAttention",
+    "_meta": {
+      "title": "H3 SLA Attention 0.9/64 (their graph)"
+    }
+  },
+  "901": {
+    "inputs": {
+      "image": "first_frame.png"
+    },
+    "class_type": "LoadImage",
+    "_meta": {
+      "title": "FIRST FRAME (add a second LoadImage into last_frame for FL2V)"
+    }
+  }
+}
@@ -0,0 +1,327 @@
+{
+  "1": {
+    "inputs": {
+      "value": "PASTE YOUR PROMPT HERE, in the reference contract:\nsubject_definitions:\n<Subject 1> is the person in <Picture 1>; their face, hair and clothing follow <Picture 1>.\n\nsummary:\n[reference generation] one continuous shot of <Subject 1> doing X, appearance taken from <Picture 1>.\n\nretention_analysis:\n<Subject 1> is fully preserved from <Picture 1>.\n\ndetailed_description:\n[Shot 1] ... camera, action, timing ...\n\noverall_soundscape: ...\n\nnon_diegetic_music: N/A"
+    },
+    "class_type": "PrimitiveStringMultiline",
+    "_meta": {
+      "title": "PROMPT (feeds every stage)"
+    }
+  },
+  "92": {
+    "inputs": {
+      "filename_prefix": "video/05_ref2va_4step_sla",
+      "format": "auto",
+      "format.codec": "auto",
+      "codec": "auto",
+      "video": [
+        "130",
+        0
+      ]
+    },
+    "class_type": "SaveVideo",
+    "_meta": {
+      "title": "REFERENCE 2026-08-29: fused ref-delta bake + SLA 0.9/64, res_multistep/simple/4, shift 12/3, 1152x640, 243 f, seed 42 -> subway_bake_sla_00001_.mp4"
+    }
+  },
+  "115": {
+    "inputs": {
+      "aspect_ratio": "16:9 (Widescreen)",
+      "megapixels": 0.7,
+      "multiple": 32
+    },
+    "class_type": "ResolutionSelector",
+    "_meta": {
+      "title": "ResolutionSelector"
+    }
+  },
+  "116": {
+    "inputs": {
+      "expression": "a"
+    },
+    "class_type": "ComfyMathExpression",
+    "_meta": {
+      "title": "ComfyMathExpression"
+    }
+  },
+  "119": {
+    "inputs": {
+      "vae_name": "minimax_h3_video_vae_int8_convrot.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "VAELoader"
+    }
+  },
+  "120": {
+    "inputs": {
+      "vae_name": "minimax_h3_audio_vae_fp32.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "VAELoader"
+    }
+  },
+  "121": {
+    "inputs": {
+      "samples": [
+        "125",
+        0
+      ],
+      "vae": [
+        "120",
+        0
+      ]
+    },
+    "class_type": "VAEDecodeAudio",
+    "_meta": {
+      "title": "VAEDecodeAudio"
+    }
+  },
+  "122": {
+    "inputs": {
+      "samples": [
+        "125",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAEDecode"
+    }
+  },
+  "124": {
+    "inputs": {
+      "scheduler": "simple",
+      "steps": 4,
+      "denoise": 1,
+      "model": [
+        "142",
+        0
+      ]
+    },
+    "class_type": "BasicScheduler",
+    "_meta": {
+      "title": "BasicScheduler"
+    }
+  },
+  "125": {
+    "inputs": {
+      "noise": [
+        "129",
+        0
+      ],
+      "guider": [
+        "126",
+        0
+      ],
+      "sampler": [
+        "135",
+        0
+      ],
+      "sigmas": [
+        "124",
+        0
+      ],
+      "latent_image": [
+        "131",
+        1
+      ]
+    },
+    "class_type": "SamplerCustomAdvanced",
+    "_meta": {
+      "title": "SamplerCustomAdvanced"
+    }
+  },
+  "126": {
+    "inputs": {
+      "model": [
+        "142",
+        0
+      ],
+      "conditioning": [
+        "131",
+        0
+      ]
+    },
+    "class_type": "BasicGuider",
+    "_meta": {
+      "title": "BasicGuider"
+    }
+  },
+  "127": {
+    "inputs": {
+      "unet_name": "minimax_h3_fused_refdelta_r1024_turbo8_mystic07_int8_convrot.safetensors",
+      "weight_dtype": "default"
+    },
+    "class_type": "UNETLoader",
+    "_meta": {
+      "title": "UNETLoader"
+    }
+  },
+  "128": {
+    "inputs": {
+      "clip_name": "qwen3vl_32b_heretic_minimax_h3_nvfp4.safetensors",
+      "type": "minimax",
+      "device": "default"
+    },
+    "class_type": "CLIPLoader",
+    "_meta": {
+      "title": "CLIPLoader"
+    }
+  },
+  "129": {
+    "inputs": {
+      "noise_seed": 42
+    },
+    "class_type": "RandomNoise",
+    "_meta": {
+      "title": "RandomNoise"
+    }
+  },
+  "130": {
+    "inputs": {
+      "fps": 24,
+      "bit_depth": 8,
+      "color_space": "sRGB",
+      "codec": "none",
+      "images": [
+        "122",
+        0
+      ],
+      "audio": [
+        "121",
+        0
+      ]
+    },
+    "class_type": "CreateVideo",
+    "_meta": {
+      "title": "CreateVideo"
+    }
+  },
+  "131": {
+    "inputs": {
+      "prompt": [
+        "1",
+        0
+      ],
+      "width": [
+        "115",
+        0
+      ],
+      "height": [
+        "115",
+        1
+      ],
+      "length": [
+        "132",
+        1
+      ],
+      "ref_image_size": "match",
+      "clip": [
+        "128",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ],
+      "audio_vae": [
+        "120",
+        0
+      ],
+      "ref_images.ref_image_0": [
+        "901",
+        0
+      ]
+    },
+    "class_type": "MiniMaxH3ReferenceToVideo",
+    "_meta": {
+      "title": "MiniMaxH3ReferenceToVideo"
+    }
+  },
+  "132": {
+    "inputs": {
+      "expression": "max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17",
+      "values.a": [
+        "133",
+        0
+      ]
+    },
+    "class_type": "ComfyMathExpression",
+    "_meta": {
+      "title": "ComfyMathExpression"
+    }
+  },
+  "133": {
+    "inputs": {
+      "value": 10
+    },
+    "class_type": "PrimitiveFloat",
+    "_meta": {
+      "title": "PrimitiveFloat"
+    }
+  },
+  "135": {
+    "inputs": {
+      "sampler_name": "res_multistep"
+    },
+    "class_type": "KSamplerSelect",
+    "_meta": {
+      "title": "KSamplerSelect"
+    }
+  },
+  "142": {
+    "inputs": {
+      "shift_video": 12,
+      "shift_audio": 3,
+      "model": [
+        "900",
+        0
+      ]
+    },
+    "class_type": "MiniMaxH3SigmaShift",
+    "_meta": {
+      "title": "MiniMaxH3SigmaShift"
+    }
+  },
+  "900": {
+    "inputs": {
+      "sparsity_ratio": 0.9,
+      "block_size": "64",
+      "min_seq_len": 8192,
+      "dense_last_steps": 0,
+      "protect_audio": true,
+      "enabled": true,
+      "dense_steps": "1",
+      "dense_backend": "comfy_kitchen",
+      "disable_fp16_accum": true,
+      "stabilize_motion": false,
+      "reference_protection": "Off",
+      "tail_correction": false,
+      "use_int8_qk": true,
+      "engine": "comfy_kitchen",
+      "model": [
+        "127",
+        0
+      ]
+    },
+    "class_type": "H3SLAAttention",
+    "_meta": {
+      "title": "H3 SLA Attention 0.9/64 (their graph)"
+    }
+  },
+  "901": {
+    "inputs": {
+      "image": "reference_1.png"
+    },
+    "class_type": "LoadImage",
+    "_meta": {
+      "title": "REFERENCE IMAGE 1 (<Picture 1>); the node grows more image / video / audio slots"
+    }
+  }
+}
@@ -0,0 +1,808 @@
+{
+ "115": {
+  "inputs": {
+   "aspect_ratio": "9:16 (Portrait Widescreen)",
+   "megapixels": 0.6,
+   "multiple": 32
+  },
+  "class_type": "ResolutionSelector",
+  "_meta": {
+   "title": "Resolution Selector"
+  }
+ },
+ "207": {
+  "inputs": {
+   "vae_name": "minimax-h3\\minimax_h3_video_vae_fp16.safetensors"
+  },
+  "class_type": "VAELoader",
+  "_meta": {
+   "title": "Load VAE"
+  }
+ },
+ "208": {
+  "inputs": {
+   "vae_name": "minimax-h3\\minimax_h3_audio_vae_fp32.safetensors"
+  },
+  "class_type": "VAELoader",
+  "_meta": {
+   "title": "Load VAE"
+  }
+ },
+ "209": {
+  "inputs": {
+   "samples": [
+    "213",
+    0
+   ],
+   "vae": [
+    "208",
+    0
+   ]
+  },
+  "class_type": "VAEDecodeAudio",
+  "_meta": {
+   "title": "VAE Decode Audio"
+  }
+ },
+ "210": {
+  "inputs": {
+   "samples": [
+    "213",
+    0
+   ],
+   "vae": [
+    "207",
+    0
+   ]
+  },
+  "class_type": "VAEDecode",
+  "_meta": {
+   "title": "VAE Decode"
+  }
+ },
+ "211": {
+  "inputs": {
+   "sampler_name": "euler"
+  },
+  "class_type": "KSamplerSelect",
+  "_meta": {
+   "title": "KSamplerSelect"
+  }
+ },
+ "212": {
+  "inputs": {
+   "scheduler": "beta",
+   "steps": 6,
+   "denoise": 1,
+   "model": [
+    "6007",
+    0
+   ]
+  },
+  "class_type": "BasicScheduler",
+  "_meta": {
+   "title": "BasicScheduler"
+  }
+ },
+ "213": {
+  "inputs": {
+   "noise": [
+    "217",
+    0
+   ],
+   "guider": [
+    "214",
+    0
+   ],
+   "sampler": [
+    "211",
+    0
+   ],
+   "sigmas": [
+    "212",
+    0
+   ],
+   "latent_image": [
+    "219",
+    1
+   ]
+  },
+  "class_type": "SamplerCustomAdvanced",
+  "_meta": {
+   "title": "SamplerCustomAdvanced"
+  }
+ },
+ "214": {
+  "inputs": {
+   "model": [
+    "6007",
+    0
+   ],
+   "conditioning": [
+    "219",
+    0
+   ]
+  },
+  "class_type": "BasicGuider",
+  "_meta": {
+   "title": "Basic Guider"
+  }
+ },
+ "215": {
+  "inputs": {
+   "unet_name": "minimax-h3\\minimax_h3_fl2va_int8_convrot.safetensors",
+   "weight_dtype": "default"
+  },
+  "class_type": "UNETLoader",
+  "_meta": {
+   "title": "Load Diffusion Model"
+  }
+ },
+ "216": {
+  "inputs": {
+   "clip_name": "minimax-h3\\qwen3vl_32b_minimax_h3_int8_convrot.comfy.safetensors",
+   "type": "minimax",
+   "device": "default"
+  },
+  "class_type": "CLIPLoader",
+  "_meta": {
+   "title": "Load CLIP"
+  }
+ },
+ "217": {
+  "inputs": {
+   "noise_seed": 42
+  },
+  "class_type": "RandomNoise",
+  "_meta": {
+   "title": "RandomNoise"
+  }
+ },
+ "219": {
+  "inputs": {
+   "prompt": [
+    "6005",
+    0
+   ],
+   "width": [
+    "115",
+    0
+   ],
+   "height": [
+    "115",
+    1
+   ],
+   "length": [
+    "220",
+    1
+   ],
+   "clip": [
+    "6010",
+    1
+   ],
+   "vae": [
+    "207",
+    0
+   ]
+  },
+  "class_type": "MiniMaxH3ImageToVideo",
+  "_meta": {
+   "title": "MiniMax H3 Image to Video"
+  }
+ },
+ "220": {
+  "inputs": {
+   "expression": "max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17",
+   "values.a": [
+    "221",
+    0
+   ]
+  },
+  "class_type": "ComfyMathExpression",
+  "_meta": {
+   "title": "Math Expression"
+  }
+ },
+ "221": {
+  "inputs": {
+   "value": 10
+  },
+  "class_type": "PrimitiveFloat",
+  "_meta": {
+   "title": "Seconds"
+  }
+ },
+ "223": {
+  "inputs": {
+   "sage_attention": "auto",
+   "allow_compile": false,
+   "model": [
+    "6020",
+    0
+   ]
+  },
+  "class_type": "PathchSageAttentionKJ",
+  "_meta": {
+   "title": "Patch Sage Attention KJ"
+  }
+ },
+ "5970": {
+  "inputs": {
+   "model_name": "film_net_fp16.safetensors"
+  },
+  "class_type": "FrameInterpolationModelLoader",
+  "_meta": {
+   "title": "Load Frame Interpolation Model"
+  }
+ },
+ "5971": {
+  "inputs": {
+   "multiplier": 2,
+   "interp_model": [
+    "5970",
+    0
+   ],
+   "images": [
+    "5976",
+    0
+   ]
+  },
+  "class_type": "FrameInterpolate",
+  "_meta": {
+   "title": "Run Frame Interpolation Model"
+  }
+ },
+ "5974": {
+  "inputs": {
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+    "inputs": {
+      "seed": 1125488487853216,
+      "steps": 20,
+      "cfg": 2.5,
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "denoise": 1,
+      "model": ["66", 0],
+      "positive": ["6", 0],
+      "negative": ["7", 0],
+      "latent_image": ["58", 0]
+    },
+    "class_type": "KSampler",
+    "_meta": { "title": "KSampler" }
+  },
+  "6": {
+    "inputs": {
+      "text": "一只橘猫坐在窗台上，午后阳光，电影感",
+      "clip": ["38", 0]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": { "title": "CLIP Text Encode (Positive Prompt)" }
+  },
+  "7": {
+    "inputs": {
+      "text": "",
+      "clip": ["38", 0]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": { "title": "CLIP Text Encode (Negative Prompt)" }
+  },
+  "8": {
+    "inputs": {
+      "samples": ["3", 0],
+      "vae": ["39", 0]
+    },
+    "class_type": "VAEDecode",
+    "_meta": { "title": "VAE Decode" }
+  },
+  "37": {
+    "inputs": {
+      "unet_name": "qwen_image_fp8_e4m3fn.safetensors",
+      "weight_dtype": "default"
+    },
+    "class_type": "UNETLoader",
+    "_meta": { "title": "Load Diffusion Model" }
+  },
+  "38": {
+    "inputs": {
+      "clip_name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
+      "type": "qwen_image",
+      "device": "default"
+    },
+    "class_type": "CLIPLoader",
+    "_meta": { "title": "Load CLIP" }
+  },
+  "39": {
+    "inputs": {
+      "vae_name": "qwen_image_vae.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": { "title": "Load VAE" }
+  },
+  "58": {
+    "inputs": {
+      "width": 1328,
+      "height": 1328,
+      "batch_size": 1
+    },
+    "class_type": "EmptySD3LatentImage",
+    "_meta": { "title": "EmptySD3LatentImage" }
+  },
+  "60": {
+    "inputs": {
+      "filename_prefix": "ComfyUI",
+      "images": ["8", 0]
+    },
+    "class_type": "SaveImage",
+    "_meta": { "title": "Save Image" }
+  },
+  "66": {
+    "inputs": {
+      "shift": 3.1,
+      "model": ["37", 0]
+    },
+    "class_type": "ModelSamplingAuraFlow",
+    "_meta": { "title": "ModelSamplingAuraFlow" }
+  }
+}
@@ -0,0 +1,301 @@
+{
+  "1": {
+    "inputs": {
+      "value": "PASTE YOUR PROMPT HERE. Use the MiniMax-H3 prompt contract (integrated_multimodal_description / overall_soundscape / non_diegetic_music). The previews in this repo were made with a ten-shot subway prompt posted by a community member; it is not redistributed here."
+    },
+    "class_type": "PrimitiveStringMultiline",
+    "_meta": {
+      "title": "PROMPT (feeds every stage)"
+    }
+  },
+  "92": {
+    "inputs": {
+      "filename_prefix": "video/01_reference_4step_sla",
+      "format": "auto",
+      "format.codec": "auto",
+      "codec": "auto",
+      "video": [
+        "130",
+        0
+      ]
+    },
+    "class_type": "SaveVideo",
+    "_meta": {
+      "title": "REFERENCE 2026-08-29: fused ref-delta bake + SLA 0.9/64, res_multistep/simple/4, shift 12/3, 1152x640, 243 f, seed 42 -> subway_bake_sla_00001_.mp4"
+    }
+  },
+  "115": {
+    "inputs": {
+      "aspect_ratio": "16:9 (Widescreen)",
+      "megapixels": 0.7,
+      "multiple": 32
+    },
+    "class_type": "ResolutionSelector",
+    "_meta": {
+      "title": "ResolutionSelector"
+    }
+  },
+  "116": {
+    "inputs": {
+      "expression": "a"
+    },
+    "class_type": "ComfyMathExpression",
+    "_meta": {
+      "title": "ComfyMathExpression"
+    }
+  },
+  "119": {
+    "inputs": {
+      "vae_name": "minimax_h3_video_vae_int8_convrot.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "VAELoader"
+    }
+  },
+  "120": {
+    "inputs": {
+      "vae_name": "minimax_h3_audio_vae_fp32.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "VAELoader"
+    }
+  },
+  "121": {
+    "inputs": {
+      "samples": [
+        "125",
+        0
+      ],
+      "vae": [
+        "120",
+        0
+      ]
+    },
+    "class_type": "VAEDecodeAudio",
+    "_meta": {
+      "title": "VAEDecodeAudio"
+    }
+  },
+  "122": {
+    "inputs": {
+      "samples": [
+        "125",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAEDecode"
+    }
+  },
+  "124": {
+    "inputs": {
+      "scheduler": "simple",
+      "steps": 4,
+      "denoise": 1,
+      "model": [
+        "142",
+        0
+      ]
+    },
+    "class_type": "BasicScheduler",
+    "_meta": {
+      "title": "BasicScheduler"
+    }
+  },
+  "125": {
+    "inputs": {
+      "noise": [
+        "129",
+        0
+      ],
+      "guider": [
+        "126",
+        0
+      ],
+      "sampler": [
+        "135",
+        0
+      ],
+      "sigmas": [
+        "124",
+        0
+      ],
+      "latent_image": [
+        "131",
+        1
+      ]
+    },
+    "class_type": "SamplerCustomAdvanced",
+    "_meta": {
+      "title": "SamplerCustomAdvanced"
+    }
+  },
+  "126": {
+    "inputs": {
+      "model": [
+        "142",
+        0
+      ],
+      "conditioning": [
+        "131",
+        0
+      ]
+    },
+    "class_type": "BasicGuider",
+    "_meta": {
+      "title": "BasicGuider"
+    }
+  },
+  "127": {
+    "inputs": {
+      "unet_name": "minimax_h3_fused_refdelta_r1024_turbo8_mystic07_int8_convrot.safetensors",
+      "weight_dtype": "default"
+    },
+    "class_type": "UNETLoader",
+    "_meta": {
+      "title": "UNETLoader"
+    }
+  },
+  "128": {
+    "inputs": {
+      "clip_name": "qwen3vl_32b_heretic_minimax_h3_nvfp4.safetensors",
+      "type": "minimax",
+      "device": "default"
+    },
+    "class_type": "CLIPLoader",
+    "_meta": {
+      "title": "CLIPLoader"
+    }
+  },
+  "129": {
+    "inputs": {
+      "noise_seed": 42
+    },
+    "class_type": "RandomNoise",
+    "_meta": {
+      "title": "RandomNoise"
+    }
+  },
+  "130": {
+    "inputs": {
+      "fps": 24,
+      "bit_depth": 8,
+      "color_space": "sRGB",
+      "codec": "none",
+      "images": [
+        "122",
+        0
+      ],
+      "audio": [
+        "121",
+        0
+      ]
+    },
+    "class_type": "CreateVideo",
+    "_meta": {
+      "title": "CreateVideo"
+    }
+  },
+  "131": {
+    "inputs": {
+      "prompt": [
+        "1",
+        0
+      ],
+      "width": [
+        "115",
+        0
+      ],
+      "height": [
+        "115",
+        1
+      ],
+      "length": [
+        "132",
+        1
+      ],
+      "clip": [
+        "128",
+        0
+      ],
+      "vae": [
+        "119",
+        0
+      ]
+    },
+    "class_type": "MiniMaxH3ImageToVideo",
+    "_meta": {
+      "title": "MiniMaxH3ImageToVideo"
+    }
+  },
+  "132": {
+    "inputs": {
+      "expression": "max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17",
+      "values.a": [
+        "133",
+        0
+      ]
+    },
+    "class_type": "ComfyMathExpression",
+    "_meta": {
+      "title": "ComfyMathExpression"
+    }
+  },
+  "133": {
+    "inputs": {
+      "value": 10
+    },
+    "class_type": "PrimitiveFloat",
+    "_meta": {
+      "title": "PrimitiveFloat"
+    }
+  },
+  "135": {
+    "inputs": {
+      "sampler_name": "res_multistep"
+    },
+    "class_type": "KSamplerSelect",
+    "_meta": {
+      "title": "KSamplerSelect"
+    }
+  },
+  "142": {
+    "inputs": {
+      "shift_video": 12,
+      "shift_audio": 3,
+      "model": [
+        "900",
+        0
+      ]
+    },
+    "class_type": "MiniMaxH3SigmaShift",
+    "_meta": {
+      "title": "MiniMaxH3SigmaShift"
+    }
+  },
+  "900": {
+    "inputs": {
+      "sparsity_ratio": 0.9,
+      "block_size": "64",
+      "min_seq_len": 8192,
+      "dense_last_steps": 0,
+      "protect_audio": true,
+      "enabled": true,
+      "model": [
+        "127",
+        0
+      ]
+    },
+    "class_type": "H3SLAAttention",
+    "_meta": {
+      "title": "H3 SLA Attention 0.9/64 (their graph)"
+    }
+  }
+}
@@ -0,0 +1,137 @@
+{
+  "13": {
+    "inputs": {
+      "aspect_ratio": "1:1 (Square)",
+      "megapixels": 1,
+      "multiple": 8
+    },
+    "class_type": "ResolutionSelector",
+    "_meta": {
+      "title": "分辨率选择器"
+    }
+  },
+  "461": {
+    "inputs": {
+      "filename_prefix": "Qwen_image_2.1",
+      "format": "png",
+      "format.bit_depth": "8-bit",
+      "format.input_color_space": "sRGB",
+      "images": [
+        "459:457",
+        0
+      ]
+    },
+    "class_type": "SaveImageAdvanced",
+    "_meta": {
+      "title": "保存图像（高级）"
+    }
+  },
+  "459:451": {
+    "inputs": {
+      "unet_name": "qwen_image_2.1_int8_convrot.safetensors",
+      "weight_dtype": "default"
+    },
+    "class_type": "UNETLoader",
+    "_meta": {
+      "title": "UNet加载器"
+    }
+  },
+  "459:452": {
+    "inputs": {
+      "prompt": "Greyscale fashion editorial portrait of an avant-garde woman tilted upwards in profile, captured with striking high-contrast chiaroscuro lighting. She wears oversized, thick-rimmed circular black sunglasses with matte dark lenses, concealing her upward gaze. Her attire merges high couture with tactical abstraction: a high-necked structural dress tailored from heavyweight fabric featuring a disrupted optical camouflage pattern—interlocking oversized polka dots, pixelated stippling, and organic contour blotches in stark monochrome that mimic military disruptive patterns in a refined runway style. Around her shoulders, asymmetric pleated webbing and tailored cargo straps are integrated seamlessly into the garment’s architecture. In her gloved hand, she clutches a structured matte-leather geometric handbag accented with subtle tactical buckles, utility stitching, and dark brushed-metal hardware. Her skin texture is rendered with hyper-detailed clarity, sculpted by intense, razor-sharp studio key light and deep graphite shadows. The striking background is a vivid mixed-media graphic collage, composed of flat vibrant lime green planes, stark black and white overlapping circles, segmented semi-circles with bold zebra striping, dense micro-halftone dot matrices, and vector topographic contour lines. The clash between monochromatic disruptive camo elements on her clothing and the saturated, retro-futuristic pop-art backdrop creates an intense visual dissonance, emphasizing sharp silhouettes, paper cut-out edges, dynamic compositional balance, and clean graphic novel textures. Absolutely no text, no typography, no letters, no words, no numbers, no logos, no watermark, no captions, pure imagery only.",
+      "negative_prompt": "",
+      "resolution": 1024,
+      "clip": [
+        "459:453",
+        0
+      ]
+    },
+    "class_type": "TextEncodeQwenImage21",
+    "_meta": {
+      "title": "Text Encode Qwen Image 2.1"
+    }
+  },
+  "459:453": {
+    "inputs": {
+      "clip_name": "qwen3vl_8b_int8_convrot.safetensors",
+      "type": "qwen_image",
+      "device": "default"
+    },
+    "class_type": "CLIPLoader",
+    "_meta": {
+      "title": "加载CLIP"
+    }
+  },
+  "459:454": {
+    "inputs": {
+      "vae_name": "qwen_image_2.1_vae_bf16.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "加载VAE"
+    }
+  },
+  "459:456": {
+    "inputs": {
+      "width": [
+        "13",
+        0
+      ],
+      "height": [
+        "13",
+        1
+      ],
+      "batch_size": 1
+    },
+    "class_type": "EmptyLatentImage",
+    "_meta": {
+      "title": "空Latent图像"
+    }
+  },
+  "459:457": {
+    "inputs": {
+      "samples": [
+        "459:458",
+        0
+      ],
+      "vae": [
+        "459:454",
+        0
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAE解码"
+    }
+  },
+  "459:458": {
+    "inputs": {
+      "seed": 593103825222985,
+      "steps": 25,
+      "cfg": 1,
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "denoise": 1,
+      "model": [
+        "459:451",
+        0
+      ],
+      "positive": [
+        "459:452",
+        0
+      ],
+      "negative": [
+        "459:452",
+        1
+      ],
+      "latent_image": [
+        "459:456",
+        0
+      ]
+    },
+    "class_type": "KSampler",
+    "_meta": {
+      "title": "K采样器"
+    }
+  }
+}
@@ -0,0 +1,202 @@
+"""Named-agent sessions (HEL-613): the five AIGC roles. agent_key is stamped
+at creation, filters the session list, injects a per-agent persona + agent-chat
+mode section into the assembled system prompt, and routes the main loop's LLM
+through the agent's bound role (models page 智能体默认模型 panel)."""
+from __future__ import annotations
+
+import asyncio
+
+from calliope.agent.harness.registry import ToolContext
+
+# ─────────────────────────────────────────────────────────────────────────
+# Registry
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def test_agents_endpoint_lists_five_roles(client):
+    agents = client.get("/api/agent/agents").json()
+    assert [a["key"] for a in agents] == [
+        "script",
+        "style",
+        "storyboard",
+        "assets",
+        "shot",
+    ]
+    names = {a["name"] for a in agents}
+    assert names == {"剧本创作", "视觉设计", "分镜设计", "素材资产", "镜头脚本"}
+    # LLM roles reuse the models-page five-role binding surface.
+    assert {a["llm_role"] for a in agents} == {"story", "style", "script", "assets", "video"}
+    # Personas are server-side — never shipped to the browser.
+    assert all("persona" not in a for a in agents)
+    assert all(isinstance(a.get("skill_count"), int) for a in agents)
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Session create / list semantics
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def test_create_session_with_agent_key(client):
+    s = client.post("/api/agent/sessions", json={"agent_key": "style"}).json()
+    assert s["agent_key"] == "style"
+    assert s["origin"] == "chat"
+
+
+def test_agent_key_rejects_unknown_value(client):
+    r = client.post("/api/agent/sessions", json={"agent_key": "director"})
+    assert r.status_code == 422
+
+
+def test_agent_sessions_hidden_from_generic_list(client):
+    plain = client.post("/api/agent/sessions", json={"title": "canvas chat"}).json()
+    named = client.post("/api/agent/sessions", json={"agent_key": "script"}).json()
+    listed = client.get("/api/agent/sessions").json()
+    ids = {s["id"] for s in listed}
+    assert plain["id"] in ids
+    assert named["id"] not in ids
+
+
+def test_agent_key_filter_returns_only_that_agent(client):
+    a = client.post("/api/agent/sessions", json={"agent_key": "script"}).json()
+    client.post("/api/agent/sessions", json={"agent_key": "style"})
+    client.post("/api/agent/sessions", json={"title": "plain"})
+    listed = client.get("/api/agent/sessions?agent_key=script").json()
+    assert {s["id"] for s in listed} == {a["id"]}
+    assert all(s["agent_key"] == "script" for s in listed)
+
+
+def test_plain_session_has_no_agent_key(client):
+    s = client.post("/api/agent/sessions", json={}).json()
+    assert s["agent_key"] is None
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Prompt assembly: persona + mode per agent_key
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def _assemble(agent_key: str | None) -> str:
+    from calliope.agent.harness import get_prompts
+
+    ctx = ToolContext(session_id=1, project_id=None, origin="chat", agent_key=agent_key)
+    return asyncio.run(get_prompts().assemble(ctx))
+
+
+def test_persona_section_injected_per_agent(client):
+    prompt = _assemble("script")
+    assert "「剧本创作」" in prompt
+    assert "编剧" in prompt
+    assert "SESSION MODE: AGENT CHAT" in prompt
+    # The generic sandbox mode text must be replaced for named agents.
+    assert "GENERATING IN SANDBOX" not in prompt
+
+
+def test_each_agent_gets_its_own_persona(client):
+    for key, marker in (
+        ("style", "视觉"),
+        ("storyboard", "分镜"),
+        ("assets", "资产"),
+        ("shot", "镜头脚本"),
+    ):
+        assert marker in _assemble(key), key
+
+
+def test_plain_prompt_unchanged(client):
+    prompt = _assemble(None)
+    assert "Calliope's production agent" in prompt
+    assert "SESSION MODE: SANDBOX" in prompt
+    assert "AGENT CHAT" not in prompt
+
+
+def test_agent_chat_mentions_section_suppressed(client):
+    assert "Tagged workflows" not in _assemble("assets")
+    assert "Tagged workflows" in _assemble(None)
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# LLM routing: the main loop uses the agent's bound role
+# ─────────────────────────────────────────────────────────────────────────
+
+
+class _RoleSpyClient:
+    instances: list["_RoleSpyClient"] = []
+
+    def __init__(self, role: str | None = None) -> None:
+        self.role = role
+        self.requests: list[list[dict]] = []
+        _RoleSpyClient.instances.append(self)
+
+    @classmethod
+    def for_role(cls, role: str, *, timeout: float = 120.0) -> "_RoleSpyClient":
+        return cls(role=role)
+
+    def chat_stream(self, messages, temperature=0.4, tools=None):
+        self.requests.append(list(messages))
+        return self
+
+    def __aiter__(self):
+        return self
+
+    async def __anext__(self):
+        raise StopAsyncIteration
+
+    async def close(self):
+        pass
+
+
+def test_run_turn_uses_agent_llm_role_and_prompt(client):
+    """End-to-end through run_turn with a scripted LLM: the client must be
+    built for the agent's role (story ← 剧本创作) and receive the per-agent
+    persona in the system message."""
+    import calliope.agent.harness.loop as loop_mod
+
+    session = client.post(
+        "/api/agent/sessions", json={"agent_key": "script", "title": "剧本会话"}
+    ).json()
+
+    from calliope.agent.harness import log as session_log
+
+    session_log.append_event(
+        session["id"], session_log.USER_MESSAGE, {"content": "写个三幕式大纲"}
+    )
+
+    orig = loop_mod.LLMClient
+    _RoleSpyClient.instances = []
+    loop_mod.LLMClient = _RoleSpyClient
+    try:
+        ctx = ToolContext(
+            session_id=session["id"], project_id=None, origin="chat", agent_key="script"
+        )
+        asyncio.run(loop_mod.run_turn(ctx, []))
+    finally:
+        loop_mod.LLMClient = orig
+
+    assert _RoleSpyClient.instances, "no LLM client was built"
+    spy = _RoleSpyClient.instances[0]
+    assert spy.role == "story"
+    system = next(
+        (m for m in spy.requests[0] if m.get("role") == "system"), None
+    )
+    assert system is not None
+    assert "「剧本创作」" in system["content"]
+    assert "SESSION MODE: AGENT CHAT" in system["content"]
+
+
+def test_plain_run_turn_keeps_main_role(client):
+    import calliope.agent.harness.loop as loop_mod
+
+    session = client.post("/api/agent/sessions", json={}).json()
+    from calliope.agent.harness import log as session_log
+
+    session_log.append_event(session["id"], session_log.USER_MESSAGE, {"content": "hi"})
+
+    orig = loop_mod.LLMClient
+    _RoleSpyClient.instances = []
+    loop_mod.LLMClient = _RoleSpyClient
+    try:
+        ctx = ToolContext(session_id=session["id"], project_id=None, origin="chat")
+        asyncio.run(loop_mod.run_turn(ctx, []))
+    finally:
+        loop_mod.LLMClient = orig
+
+    assert _RoleSpyClient.instances[0].role == "main"
@@ -0,0 +1,659 @@
+"""ComfyUI multi-connection endpoints (HEL-611): CRUD, masking, migration,
+server-side connectivity test classification, workflow binding and job
+endpoint snapshots."""
+
+from __future__ import annotations
+
+import json
+import socket
+import threading
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+
+import pytest
+
+from calliope.config import settings
+
+
+class _FakeComfyHandler(BaseHTTPRequestHandler):
+    server_version = "FakeComfy/1.0"
+
+    def do_GET(self):
+        self.server.requests.append({"path": self.path, "headers": dict(self.headers)})
+        if self.path == "/system_stats":
+            if self.server.require_auth and not self._auth_ok():
+                self._send(401, {"error": "unauthorized"})
+                return
+            if self.server.mode == "not_comfyui_json":
+                self._send(200, {"hello": "world"})
+                return
+            if self.server.mode == "html":
+                self._send_html(200, "<html><body>hi</body></html>")
+                return
+            self._send(
+                200,
+                {
+                    "system": {"comfyui_version": "0.3.55-test", "os": "linux"},
+                    "devices": [{"name": "FakeGPU RTX 5090", "type": "cuda"}],
+                },
+            )
+            return
+        if self.path == "/":
+            self._send_html(200, "<html></html>")
+            return
+        if self.server.mode == "system_stats_404":
+            # reverse-proxy style: /system_stats stripped
+            self._send_html(404, "<html>404</html>")
+            return
+        self._send(404, {"error": "not found"})
+
+    def _auth_ok(self) -> bool:
+        auth = self.headers.get("Authorization") or ""
+        if auth == f"Bearer {self.server.token}":
+            return True
+        if self.headers.get(self.server.header_name or "X-Api-Key") == self.server.token:
+            return True
+        return False
+
+    def _send(self, status: int, payload: dict) -> None:
+        data = json.dumps(payload).encode("utf-8")
+        self.send_response(status)
+        self.send_header("Content-Type", "application/json")
+        self.send_header("Content-Length", str(len(data)))
+        self.end_headers()
+        self.wfile.write(data)
+
+    def _send_html(self, status: int, text: str) -> None:
+        data = text.encode("utf-8")
+        self.send_response(status)
+        self.send_header("Content-Type", "text/html")
+        self.send_header("Content-Length", str(len(data)))
+        self.end_headers()
+        self.wfile.write(data)
+
+    def log_message(self, format, *args):
+        pass
+
+
+@pytest.fixture
+def fake_comfy():
+    server = ThreadingHTTPServer(("127.0.0.1", 0), _FakeComfyHandler)
+    server.requests = []
+    server.require_auth = False
+    server.token = "tok-1234"
+    server.header_name = "X-Api-Key"
+    server.mode = "ok"
+    thread = threading.Thread(target=server.serve_forever, daemon=True)
+    thread.start()
+    try:
+        yield server
+    finally:
+        server.shutdown()
+        server.server_close()
+
+
+def _url(server) -> str:
+    return f"http://127.0.0.1:{server.server_address[1]}"
+
+
+def _snapshot_settings():
+    return {
+        "comfyui_endpoints": [dict(ep) for ep in (settings.comfyui_endpoints or [])],
+        "comfyui_active_id": settings.comfyui_active_id,
+        "comfyui_base_url": settings.comfyui_base_url,
+    }
+
+
+def _clear_endpoints() -> None:
+    """Start from an empty endpoint list (settings is a process singleton)."""
+    settings.comfyui_endpoints = []
+    settings.comfyui_active_id = None
+
+
+def _reset_endpoints(**kw) -> dict:
+    """Point settings at one fresh endpoint and return it."""
+    base = {
+        "id": "ep-11111111-1111-1111-1111-111111111111",
+        "name": "测试连接",
+        "base_url": "http://127.0.0.1:8188",
+        "auth_type": "none",
+        "auth_token": None,
+        "header_name": None,
+        "notes": None,
+    }
+    base.update(kw)
+    settings.comfyui_endpoints = [base]
+    settings.comfyui_active_id = base["id"]
+    settings.apply_active_comfyui()
+    return base
+
+
+# ----------------------------------------------------------------------
+# CRUD + masking
+# ----------------------------------------------------------------------
+
+
+def test_endpoints_crud_and_masking(client):
+    prev = _snapshot_settings()
+    try:
+        _clear_endpoints()
+        r = client.post(
+            "/api/comfyui/endpoints",
+            json={
+                "name": "本机",
+                "base_url": "http://127.0.0.1:8188",
+                "auth_type": "bearer",
+                "auth_token": "secret-tok-9999",
+            },
+        )
+        assert r.status_code == 200
+        body = r.json()
+        assert len(body["endpoints"]) == 1
+        ep = body["endpoints"][0]
+        assert ep["has_token"] is True
+        assert ep["token_tail"] == "9999"
+        assert "secret" not in r.text  # token never echoed
+        eid = ep["id"]
+
+        # edit: blank token keeps the stored one
+        r = client.patch(
+            f"/api/comfyui/endpoints/{eid}",
+            json={"name": "本机改名", "base_url": "http://127.0.0.1:8189"},
+        )
+        assert r.status_code == 200
+        ep = r.json()["endpoints"][0]
+        assert ep["name"] == "本机改名"
+        assert ep["base_url"].endswith("8189")
+        assert ep["has_token"] is True
+
+        # comfyui_base_url mirrors the ACTIVE endpoint
+        assert settings.comfyui_base_url.endswith("8189")
+
+        # delete last endpoint is refused
+        r = client.delete(f"/api/comfyui/endpoints/{eid}")
+        assert r.status_code == 400
+
+        # add a second, delete the first: allowed, active falls back
+        r = client.post(
+            "/api/comfyui/endpoints",
+            json={"name": "局域网", "base_url": "http://192.168.200.15:8188"},
+        )
+        assert r.status_code == 200
+        second_id = r.json()["endpoints"][-1]["id"]
+        r = client.delete(f"/api/comfyui/endpoints/{eid}")
+        assert r.status_code == 200
+        assert r.json()["active_id"] == second_id
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+def test_activate_endpoint(client):
+    prev = _snapshot_settings()
+    try:
+        _clear_endpoints()
+        r = client.post("/api/comfyui/endpoints", json={"name": "A", "base_url": "http://a.test:8188"})
+        assert r.status_code == 200
+        r = client.post("/api/comfyui/endpoints", json={"name": "B", "base_url": "http://b.test:8188"})
+        assert r.status_code == 200
+        id_b = r.json()["endpoints"][-1]["id"]
+
+        r = client.post(f"/api/comfyui/endpoints/{id_b}/activate")
+        assert r.status_code == 200
+        assert r.json()["active_id"] == id_b
+        assert settings.comfyui_base_url == "http://b.test:8188"
+
+        # legacy single-address PATCH writes onto the ACTIVE endpoint
+        r = client.post("/api/settings", json={"comfyui_base_url": "http://b2.test:8188"})
+        assert r.status_code == 200
+        assert settings.comfyui_base_url == "http://b2.test:8188"
+        stored_b = next(ep for ep in settings.comfyui_endpoints if ep["id"] == id_b)
+        assert stored_b["base_url"] == "http://b2.test:8188"
+
+        r = client.post("/api/comfyui/endpoints/does-not-exist/activate")
+        assert r.status_code == 404
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+def test_legacy_base_url_migrates_into_endpoint():
+    prev = _snapshot_settings()
+    try:
+        settings.comfyui_endpoints = []
+        settings.comfyui_active_id = None
+        settings.comfyui_base_url = "http://192.168.200.15:8188"
+        migrated = settings.ensure_comfyui_endpoints()
+        assert migrated is True
+        assert len(settings.comfyui_endpoints) == 1
+        ep = settings.comfyui_endpoints[0]
+        assert ep["base_url"] == "http://192.168.200.15:8188"
+        assert settings.comfyui_active_id == ep["id"]
+        # idempotent
+        assert settings.ensure_comfyui_endpoints() is False
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+# ----------------------------------------------------------------------
+# server-side connectivity test
+# ----------------------------------------------------------------------
+
+
+def test_comfy_test_success_with_version_and_latency(client, fake_comfy):
+    r = client.post("/api/comfyui/endpoints/test", json={"base_url": _url(fake_comfy)})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["ok"] is True
+    assert body["comfyui_version"] == "0.3.55-test"
+    assert "FakeGPU" in body["device_name"]
+    assert isinstance(body["elapsed_ms"], int)
+    assert fake_comfy.requests[0]["path"] == "/system_stats"
+
+
+def test_comfy_test_bearer_auth_from_stored_endpoint(client, fake_comfy):
+    prev = _snapshot_settings()
+    fake_comfy.require_auth = True
+    try:
+        r = client.post(
+            "/api/comfyui/endpoints",
+            json={
+                "name": "带鉴权",
+                "base_url": _url(fake_comfy),
+                "auth_type": "bearer",
+                "auth_token": "tok-1234",
+            },
+        )
+        eid = r.json()["endpoints"][-1]["id"]
+        # test by id: stored token used server-side, never needs echo
+        r = client.post("/api/comfyui/endpoints/test", json={"endpoint_id": eid})
+        assert r.json()["ok"] is True
+        assert fake_comfy.requests[-1]["headers"].get("Authorization") == "Bearer tok-1234"
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+def test_comfy_test_header_auth(client, fake_comfy):
+    fake_comfy.require_auth = True
+    r = client.post(
+        "/api/comfyui/endpoints/test",
+        json={
+            "base_url": _url(fake_comfy),
+            "auth_type": "header",
+            "header_name": "X-Api-Key",
+            "auth_token": "tok-1234",
+        },
+    )
+    assert r.json()["ok"] is True
+    assert fake_comfy.requests[-1]["headers"].get("X-Api-Key") == "tok-1234"
+
+
+def test_comfy_test_auth_rejected(client, fake_comfy):
+    fake_comfy.require_auth = True
+    r = client.post("/api/comfyui/endpoints/test", json={"base_url": _url(fake_comfy)})
+    body = r.json()
+    assert body["ok"] is False
+    assert body["error"] == "auth"
+    assert "鉴权" in body["message"]
+
+
+def test_comfy_test_connection_refused(client):
+    sock = socket.socket()
+    sock.bind(("127.0.0.1", 0))
+    port = sock.getsockname()[1]
+    sock.close()
+    r = client.post("/api/comfyui/endpoints/test", json={"base_url": f"http://127.0.0.1:{port}"})
+    body = r.json()
+    assert body["ok"] is False
+    assert body["error"] == "refused"
+    assert "拒绝" in body["message"]
+
+
+def test_comfy_test_timeout(client):
+    # 10.255.255.1 is unroutable on this LAN → connect timeout (2s floor)
+    r = client.post(
+        "/api/comfyui/endpoints/test",
+        json={"base_url": "http://10.255.255.1:8188", "timeout_sec": 2},
+    )
+    body = r.json()
+    assert body["ok"] is False
+    assert body["error"] == "timeout"
+    assert "超时" in body["message"]
+
+
+def test_comfy_test_dns_failure(client):
+    r = client.post(
+        "/api/comfyui/endpoints/test",
+        json={"base_url": "http://nonexistent-host-xyz.invalid:8188"},
+    )
+    body = r.json()
+    assert body["ok"] is False
+    assert body["error"] == "dns"
+    assert "解析" in body["message"]
+
+
+def test_comfy_test_reachable_but_not_comfyui(client, fake_comfy):
+    fake_comfy.mode = "not_comfyui_json"
+    r = client.post("/api/comfyui/endpoints/test", json={"base_url": _url(fake_comfy)})
+    body = r.json()
+    assert body["ok"] is False
+    assert body["error"] == "not_comfyui"
+    assert "不是 ComfyUI" in body["message"] or "不像 ComfyUI" in body["message"]
+
+
+def test_comfy_test_html_response_is_not_comfyui(client, fake_comfy):
+    fake_comfy.mode = "html"
+    r = client.post("/api/comfyui/endpoints/test", json={"base_url": _url(fake_comfy)})
+    body = r.json()
+    assert body["ok"] is False
+    assert body["error"] == "not_comfyui"
+
+
+def test_comfy_test_ssrf_guard(client):
+    r = client.post(
+        "/api/comfyui/endpoints/test",
+        json={"base_url": "http://169.254.169.254/latest/meta-data"},
+    )
+    assert r.status_code == 400
+    assert "禁止" in r.json()["detail"]
+    # loopback IS allowed (local ComfyUI is a legitimate target)
+    r = client.post(
+        "/api/comfyui/endpoints/test",
+        json={"base_url": "http://127.0.0.1:1", "timeout_sec": 2},
+    )
+    assert r.status_code == 200  # runs the probe (refused), not blocked
+
+
+def test_comfy_test_requires_url(client):
+    r = client.post("/api/comfyui/endpoints/test", json={})
+    assert r.status_code == 400
+    r = client.post(
+        "/api/comfyui/endpoints/test", json={"base_url": "ftp://x/", "timeout_sec": 2}
+    )
+    assert r.status_code == 400
+
+
+def test_schemeless_url_is_format_error_everywhere(client):
+    """HEL-619: a schemeless/garbled address is a 400 format error on every
+    entry point (probe + save), not a silent http:// prefix that later
+    surfaces as a DNS-classified probe failure."""
+    prev = _snapshot_settings()
+    try:
+        for url in ("192.168.0.1:8188", "http:192.168.0.1", "ht!tp://x", "http://a b.test/"):
+            r = client.post(
+                "/api/comfyui/endpoints/test", json={"base_url": url, "timeout_sec": 2}
+            )
+            assert r.status_code == 400, url
+            assert "http://" in r.json()["detail"] or "https://" in r.json()["detail"]
+            r = client.post(
+                "/api/comfyui/endpoints", json={"name": "无协议", "base_url": url}
+            )
+            assert r.status_code == 400, url
+            assert "无协议" not in [ep.get("name") for ep in settings.comfyui_endpoints or []]
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+def test_save_endpoint_runs_ssrf_guard(client):
+    """HEL-619: the SSRF guard applies on save (create + edit), not only on
+    the connectivity probe; loopback stays allowed."""
+    prev = _snapshot_settings()
+    try:
+        _clear_endpoints()
+        r = client.post(
+            "/api/comfyui/endpoints",
+            json={"name": "元数据", "base_url": "http://169.254.169.254/latest"},
+        )
+        assert r.status_code == 400
+        assert "禁止" in r.json()["detail"]
+
+        r = client.post(
+            "/api/comfyui/endpoints",
+            json={"name": "本机", "base_url": "http://127.0.0.1:8188"},
+        )
+        assert r.status_code == 200
+        eid = r.json()["endpoints"][-1]["id"]
+
+        r = client.patch(
+            f"/api/comfyui/endpoints/{eid}",
+            json={"base_url": "http://169.254.169.254/latest"},
+        )
+        assert r.status_code == 400
+        # the stored endpoint is untouched
+        stored = next(ep for ep in settings.comfyui_endpoints if ep["id"] == eid)
+        assert stored["base_url"] == "http://127.0.0.1:8188"
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+# ----------------------------------------------------------------------
+# workflow binding + job snapshots
+# ----------------------------------------------------------------------
+
+
+def _import_workflow(client, name="H3 视频", kind="video", endpoint_id=None):
+    wf_json = {
+        "4": {
+            "class_type": "CheckpointLoaderSimple",
+            "inputs": {"ckpt_name": "model.safetensors"},
+        },
+        "6": {
+            "class_type": "CLIPTextEncode",
+            "inputs": {"text": "placeholder prompt", "clip": ["4", 1]},
+        },
+        # HEL-636: a workflow needs a recognizable output node to classify a
+        # usage and stay enabled; without it generation is refused.
+        "9": {
+            "class_type": "VHS_VideoCombine",
+            "inputs": {"images": ["6", 0]},
+            "_meta": {"title": "Video Output (Output:video)"},
+        },
+    }
+    payload = {"name": name, "kind": kind, "workflow_json": wf_json}
+    if endpoint_id is not None:
+        payload["endpoint_id"] = endpoint_id
+    return client.post("/api/workflows", json=payload)
+
+
+def test_workflow_endpoint_binding_roundtrip(client):
+    prev = _snapshot_settings()
+    try:
+        r = client.post(
+            "/api/comfyui/endpoints", json={"name": "局域网机", "base_url": "http://192.168.200.15:8188"}
+        )
+        eid = r.json()["endpoints"][-1]["id"]
+
+        r = _import_workflow(client, endpoint_id=eid)
+        assert r.status_code == 200
+        wf = r.json()
+        assert wf["endpoint_id"] == eid
+
+        # clear binding with explicit null
+        r = client.patch(f"/api/workflows/{wf['id']}", json={"endpoint_id": None})
+        assert r.json()["endpoint_id"] is None
+
+        # rebind
+        r = client.patch(f"/api/workflows/{wf['id']}", json={"endpoint_id": eid})
+        assert r.json()["endpoint_id"] == eid
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+def test_playground_generate_stamps_endpoint_snapshot(client):
+    prev = _snapshot_settings()
+    try:
+        r = client.post(
+            "/api/comfyui/endpoints",
+            json={"name": "目标A", "base_url": "http://192.168.200.15:8188"},
+        )
+        target = r.json()["endpoints"][-1]
+        r = client.post(
+            "/api/comfyui/endpoints",
+            json={"name": "默认B", "base_url": "http://192.168.200.16:8188"},
+        )
+        default_ep = r.json()["endpoints"][-1]
+        client.post(f"/api/comfyui/endpoints/{default_ep['id']}/activate")
+
+        wf = _import_workflow(client).json()
+
+        # explicit endpoint_id wins
+        r = client.post(
+            "/api/playground/generate",
+            json={"workflow_id": wf["id"], "endpoint_id": target["id"]},
+        )
+        assert r.status_code == 200
+        snap = r.json()["job"]["payload"]["endpoint"]
+        assert snap["id"] == target["id"]
+        assert snap["name"] == "目标A"
+        assert snap["base_url"] == "http://192.168.200.15:8188"
+        assert "auth_token" not in snap  # token never snapshots into payloads
+
+        # no explicit id + no binding → active endpoint
+        r = client.post("/api/playground/generate", json={"workflow_id": wf["id"]})
+        snap = r.json()["job"]["payload"]["endpoint"]
+        assert snap["id"] == default_ep["id"]
+
+        # workflow binding wins when no explicit id
+        r = client.patch(f"/api/workflows/{wf['id']}", json={"endpoint_id": target["id"]})
+        r = client.post("/api/playground/generate", json={"workflow_id": wf["id"]})
+        snap = r.json()["job"]["payload"]["endpoint"]
+        assert snap["id"] == target["id"]
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+def test_worker_resolves_endpoint_from_snapshot():
+    from calliope.queue.worker import QueueWorker
+
+    prev = _snapshot_settings()
+    try:
+        ep = _reset_endpoints(
+            id="ep-22222222-2222-2222-2222-222222222222",
+            name="快照机",
+            base_url="http://192.168.200.15:8188",
+        )
+        # snapshot id still configured → current values (fresh URL/token)
+        url, headers, label = QueueWorker._resolve_endpoint(
+            {"endpoint": {"id": ep["id"], "name": "旧名", "base_url": "http://old:1"}}
+        )
+        assert url == "http://192.168.200.15:8188"
+        assert "快照机" in label
+
+        # dangling id → snapshot URL without token
+        url, headers, label = QueueWorker._resolve_endpoint(
+            {"endpoint": {"id": "gone-id", "name": "已删", "base_url": "http://kept:8188"}}
+        )
+        assert url == "http://kept:8188"
+        assert headers == {}
+        assert "已删" in label
+
+        # no snapshot → active endpoint
+        url, _h, label = QueueWorker._resolve_endpoint({})
+        assert url == "http://192.168.200.15:8188"
+
+        # bearer headers built for the active endpoint
+        _reset_endpoints(
+            id="ep-33333333-3333-3333-3333-333333333333",
+            base_url="http://auth.test:8188",
+            auth_type="bearer",
+            auth_token="tok-xyz",
+        )
+        _url2, headers, _label = QueueWorker._resolve_endpoint({})
+        assert headers == {"Authorization": "Bearer tok-xyz"}
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+def test_queue_enqueue_stamps_all_paths(client):
+    """Flow-internal video enqueue also carries the snapshot (same path)."""
+    prev = _snapshot_settings()
+    try:
+        r = client.post(
+            "/api/comfyui/endpoints", json={"name": "流程机", "base_url": "http://192.168.200.15:8188"}
+        )
+        eid = r.json()["endpoints"][-1]["id"]
+        wf = _import_workflow(client, endpoint_id=eid).json()
+
+        # enqueue via queue_manager directly (what enqueue_video_jobs calls)
+        from calliope.queue.manager import queue_manager
+
+        project = client.post(
+            "/api/projects", json={"title": "连接快照测试", "idea": "x"}
+        ).json()
+        job = queue_manager.enqueue(
+            project_id=project["id"], kind="video", workflow_id=wf["id"], payload={}
+        )
+        payload = json.loads(job["payload_json"])
+        assert payload["endpoint"]["id"] == eid
+        assert payload["endpoint"]["base_url"] == "http://192.168.200.15:8188"
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
+
+
+def test_workflow_delete_blocked_while_jobs_pending(client):
+    """HEL-619: deleting a workflow with pending/running jobs is refused
+    with 409 instead of silently nulling the jobs' workflow_id."""
+    from calliope.db import get_db
+    from calliope.queue.manager import queue_manager
+
+    wf = _import_workflow(client).json()
+    project = client.post(
+        "/api/projects", json={"title": "删除保护测试", "idea": "x"}
+    ).json()
+    # Pause the lifespan-started worker so the pending job STAYS pending.
+    queue_manager.paused = True
+    try:
+        queue_manager.enqueue(
+            project_id=project["id"], kind="video", workflow_id=wf["id"], payload={}
+        )
+
+        r = client.delete(f"/api/workflows/{wf['id']}")
+        assert r.status_code == 409
+        assert "排队" in r.json()["detail"]
+    finally:
+        queue_manager.paused = False
+
+    # job finished → deletion allowed again
+    conn = get_db(settings.db_path)
+    try:
+        conn.execute("UPDATE jobs SET status = 'done' WHERE project_id = ?", (project["id"],))
+        conn.commit()
+    finally:
+        conn.close()
+    r = client.delete(f"/api/workflows/{wf['id']}")
+    assert r.status_code == 200
+    assert r.json() == {"ok": True}
+
+
+def test_settings_public_dict_masks_endpoint_tokens(client):
+    prev = _snapshot_settings()
+    try:
+        r = client.post(
+            "/api/comfyui/endpoints",
+            json={
+                "name": "云端",
+                "base_url": "https://comfy.example.com",
+                "auth_type": "header",
+                "header_name": "X-Key",
+                "auth_token": "cloud-secret-7777",
+            },
+        )
+        assert r.status_code == 200
+        r = client.get("/api/settings")
+        text = r.text
+        assert "cloud-secret" not in text
+        ep = next(
+            ep for ep in r.json()["comfyui_endpoints"] if ep["name"] == "云端"
+        )
+        assert ep["has_token"] is True
+        assert ep["token_tail"] == "7777"
+    finally:
+        for key, value in prev.items():
+            setattr(settings, key, value)
@@ -0,0 +1,594 @@
+"""HEL-633: the three image-input workflows the user supplied — Qwen Image 2.1
+图片编辑, MiniMax H3 首帧图生视频 (04) and H3 参考图生视频 (05, 1–9 refs).
+
+Slots come from real wiring, every picked image is uploaded to ComfyUI and
+lands in the node input it belongs to (in order, nothing stale), and a
+broken export is refused before anything is queued."""
+
+from __future__ import annotations
+
+import json
+import re
+import threading
+from http.server import ThreadingHTTPServer
+from pathlib import Path
+
+import pytest
+
+from calliope.comfyui.lint import blocking_problem, workflow_warnings
+from calliope.comfyui.parser import detect_untagged_inputs, parse_dynamic_inputs
+from calliope.comfyui.patcher import patch_workflow
+from calliope.comfyui.smart_fill import smart_fill_inputs
+from calliope.comfyui.validate import validate_input_values
+from calliope.config import settings
+from tests.test_studio_generation import (
+    PNG_1PX,
+    _FakeComfyHandler,
+    _import_workflow,
+    _real_run,
+    _wait_done,
+)
+
+FIXTURES = Path(__file__).parent / "fixtures" / "comfy_native"
+I2V = "h3_i2v_04_API.json"  # 04_i2v_fl2v_4step_sla (1).json
+REF = "h3_ref2va_05_API.json"  # 05_ref2va_4step_sla (1).json
+QWEN_EDIT = "qwen21_edit_sage_API.json"  # qwen-image-2.1-图片编辑-sage加速.json
+EXAMPLES = Path(__file__).resolve().parents[2] / "example_ComfyUI_workflows"
+
+REF_KEY = "131@ref_images"
+LAST_KEY = "131@last_frame"
+
+
+def _load(name: str) -> dict:
+    return json.loads((FIXTURES / name).read_text(encoding="utf-8"))
+
+
+def _by_node(inputs: list[dict]) -> dict[str, dict]:
+    return {i["nodeId"]: i for i in inputs}
+
+
+def _ref_links(wf: dict, node_id: str = "131") -> list[tuple[str, str]]:
+    """[(input name, LoadImage image value), …] in slot order."""
+    inputs = wf[node_id]["inputs"]
+    names = sorted(
+        (k for k in inputs if k.startswith("ref_images.ref_image_")),
+        key=lambda k: int(k.rsplit("_", 1)[1]),
+    )
+    return [(k, wf[inputs[k][0]]["inputs"]["image"]) for k in names]
+
+
+# ---------------------------------------------------------------------------
+# Slot detection
+# ---------------------------------------------------------------------------
+
+
+def test_i2v_exposes_required_first_frame_and_optional_last_frame():
+    """HEL-671: the 04 export is H3 FL2VA — `last_frame` is unwired but real."""
+    inputs = parse_dynamic_inputs(_load(I2V))
+    media = [i for i in inputs if i["kind"] in ("image", "image_list", "video", "audio")]
+    assert media == [
+        {
+            "nodeId": "901",
+            "label": "首帧",
+            "role": "first_frame",
+            "kind": "image",
+            "defaultValue": None,
+            "required": True,
+            "auto": True,
+        },
+        {
+            "nodeId": LAST_KEY,
+            "label": "尾帧",
+            "role": "last_frame",
+            "kind": "image",
+            "defaultValue": None,
+            "required": False,
+            "auto": True,
+        },
+    ]
+
+
+def test_wired_last_frame_is_its_own_slot_not_a_second_virtual_one():
+    wf = _load(I2V)
+    wf["950"] = {"class_type": "LoadImage", "inputs": {"image": "last.png"}}
+    wf["131"]["inputs"]["last_frame"] = ["950", 0]
+    media = [i for i in parse_dynamic_inputs(wf) if i["kind"] == "image"]
+    assert [(i["nodeId"], i["role"], i["required"]) for i in media] == [
+        ("901", "first_frame", True),
+        ("950", "last_frame", True),
+    ]
+
+
+def test_first_frame_through_a_custom_loader_gets_no_last_frame_slot():
+    # Repo example: VHS_LoadImagePath → resize → first_frame; no slot pair to mirror.
+    wf = json.loads(
+        (EXAMPLES / "minimax_h3-Turbo_Image2Video_20260813_API.json").read_text(encoding="utf-8")
+    )
+    assert not any(i.get("role") == "last_frame" for i in parse_dynamic_inputs(wf))
+
+
+def test_ref2v_exposes_one_group_of_one_to_nine_reference_images():
+    inputs = parse_dynamic_inputs(_load(REF))
+    media = [i for i in inputs if i["kind"] in ("image", "image_list", "video", "audio")]
+    assert len(media) == 1
+    group = media[0]
+    assert group["nodeId"] == REF_KEY
+    assert group["kind"] == "image_list"
+    assert group["role"] == "reference_image"
+    assert group["label"] == "参考图"
+    assert (group["min"], group["max"], group["required"]) == (1, 9, True)
+    # the parameters HEL-627 wired stay exposed
+    by_node = _by_node(inputs)
+    for key in ("1", "115@aspect_ratio", "115@megapixels", "124@steps", "124@denoise",
+                "129@noise_seed", "133"):
+        assert key in by_node, key
+    assert not any(i["kind"] == "video" for i in inputs)
+
+
+def test_example_five_ref_workflow_folds_into_the_same_group():
+    # The repo example is (Input:…)-tagged and keeps its tagged slots; stripped
+    # of tags (as a plain ComfyUI export) its five loaders become one group.
+    wf = json.loads((EXAMPLES / "video_minimax_h3_r2v_5ref_API.json").read_text(encoding="utf-8"))
+    inputs = detect_untagged_inputs(wf)
+    groups = [i for i in inputs if i["kind"] == "image_list"]
+    assert [g["nodeId"] for g in groups] == ["178@ref_images"]
+    # its five LoadImages are the group, not five separate slots
+    assert not any(i["kind"] == "image" for i in inputs if i.get("role") != "mask")
+
+
+def test_qwen_edit_exposes_input_image_real_resolution_and_hides_orphan_latent():
+    inputs = parse_dynamic_inputs(_load(QWEN_EDIT))
+    by_node = _by_node(inputs)
+    img = by_node["10"]
+    assert (img["kind"], img["role"], img["label"]) == ("image", "image", "输入图")
+    assert img["required"] is True
+    res = by_node["4@resolution"]
+    assert (res["role"], res["defaultValue"], res["min"], res["max"], res["step"]) == (
+        "resolution", 1024, 0, 4096, 32,
+    )
+    assert by_node["4@prompt"]["role"] == "prompt"
+    assert by_node["4@negative_prompt"]["role"] == "negative"
+    for key in ("6@seed", "6@steps", "6@cfg", "6@denoise"):
+        assert key in by_node
+    # EmptyLatentImage #5 feeds nothing — its width/height would do nothing
+    assert not any(i["nodeId"].startswith("5@") for i in inputs)
+
+
+def test_unwired_load_image_gets_no_slot():
+    wf = _load(I2V)
+    wf["950"] = {
+        "class_type": "LoadImage",
+        "inputs": {"image": "last.png"},
+        "_meta": {"title": "LAST"},
+    }
+    assert "950" not in _by_node(parse_dynamic_inputs(wf))
+
+
+# ---------------------------------------------------------------------------
+# Broken exports
+# ---------------------------------------------------------------------------
+
+
+def test_broken_qwen_export_is_flagged_and_blocked():
+    warnings = workflow_warnings(_load(QWEN_EDIT))
+    errors = {(w["code"], w["node_id"]) for w in warnings if w["level"] == "error"}
+    assert errors == {
+        ("missing_class_type", "1"),
+        ("missing_class_type", "9"),
+        ("missing_model_link", "6"),
+    }
+    assert ("orphan_latent", "5") in {(w["code"], w["node_id"]) for w in warnings}
+    msg = blocking_problem(_load(QWEN_EDIT))
+    assert msg and "Unet Loader (GGUF)" in msg and "重新导出" in msg
+
+
+def test_h3_workflows_are_clean():
+    assert workflow_warnings(_load(I2V)) == []
+    assert workflow_warnings(_load(REF)) == []
+
+
+# ---------------------------------------------------------------------------
+# Patching 1 / 4 / 9 reference images
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize("count", [1, 4, 9])
+def test_patch_wires_each_reference_image_in_order(count):
+    base = _load(REF)
+    paths = [f"/assets/uploads/ref-{i}.png" for i in range(1, count + 1)]
+    wf = patch_workflow(base, {REF_KEY: paths})
+    links = _ref_links(wf)
+    assert links == [(f"ref_images.ref_image_{i}", p) for i, p in enumerate(paths)]
+    # every loader is a real, distinct LoadImage feeding node 131
+    loader_ids = [wf["131"]["inputs"][name][0] for name, _ in links]
+    assert len(set(loader_ids)) == count
+    assert all(wf[n]["class_type"] == "LoadImage" for n in loader_ids)
+    assert loader_ids[0] == "901"
+    # the base workflow is untouched
+    assert _ref_links(base) == [("ref_images.ref_image_0", "reference_1.png")]
+
+
+def test_patch_shrinking_removes_stale_slots_and_loaders():
+    nine = patch_workflow(_load(REF), {REF_KEY: [f"/u/{i}.png" for i in range(9)]})
+    two = patch_workflow(nine, {REF_KEY: ["/u/b.png", "/u/a.png"]})
+    assert _ref_links(two) == [
+        ("ref_images.ref_image_0", "/u/b.png"),
+        ("ref_images.ref_image_1", "/u/a.png"),
+    ]
+    load_images = [n for n, v in two.items() if v.get("class_type") == "LoadImage"]
+    assert len(load_images) == 2
+    assert not any("/u/8.png" in json.dumps(v) for v in two.values())
+
+
+def test_single_slot_values_patch_first_frame_and_qwen_input():
+    i2v = patch_workflow(_load(I2V), {"901": "/assets/uploads/first.png"})
+    assert i2v["901"]["inputs"]["image"] == "/assets/uploads/first.png"
+    assert i2v["131"]["inputs"]["first_frame"] == ["901", 0]
+    qwen = patch_workflow(_load(QWEN_EDIT), {"10": "/assets/uploads/in.png", "4@resolution": 1536})
+    assert qwen["10"]["inputs"]["image"] == "/assets/uploads/in.png"
+    assert qwen["4"]["inputs"]["resolution"] == 1536
+
+
+def test_patch_last_frame_adds_its_own_load_image():
+    base = _load(I2V)
+    wf = patch_workflow(base, {"901": "/u/first.png", LAST_KEY: "/u/last.png"})
+    node = wf["131"]["inputs"]
+    assert node["first_frame"] == ["901", 0]
+    last_id = node["last_frame"][0]
+    assert last_id not in base and node["last_frame"] == [last_id, 0]
+    assert wf[last_id]["class_type"] == "LoadImage"
+    assert wf[last_id]["inputs"] == {"image": "/u/last.png"}
+    assert wf["901"]["inputs"]["image"] == "/u/first.png"
+    # base untouched; patching the result again rewires nothing
+    assert "last_frame" not in base["131"]["inputs"]
+    again = patch_workflow(wf, {LAST_KEY: "/u/other.png"})
+    assert again["131"]["inputs"]["last_frame"] == [last_id, 0]
+
+
+def test_patch_without_last_frame_leaves_first_frame_only_graph():
+    for values in ({"901": "/u/first.png"}, {"901": "/u/first.png", LAST_KEY: ""}):
+        wf = patch_workflow(_load(I2V), values)
+        assert "last_frame" not in wf["131"]["inputs"]
+        assert sorted(wf) == sorted(_load(I2V))
+
+
+def test_legacy_job_values_keyed_by_load_image_still_patch():
+    """Jobs queued before HEL-633 carry the LoadImage id, not the group key."""
+    wf = patch_workflow(_load(REF), {"901": "/assets/uploads/old.png"})
+    assert _ref_links(wf) == [("ref_images.ref_image_0", "/assets/uploads/old.png")]
+
+
+def test_smart_fill_hands_reference_list_to_the_group():
+    inputs = parse_dynamic_inputs(_load(REF))
+    refs = [f"/r/{i}.png" for i in range(12)]
+    values = smart_fill_inputs(inputs, prompt="p", ref_images=refs)
+    assert values[REF_KEY] == refs[:9]
+
+
+# ---------------------------------------------------------------------------
+# Validation
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture
+def uploads_dir(client):
+    d = settings.assets_dir / "uploads"
+    d.mkdir(parents=True, exist_ok=True)
+    return d
+
+
+def _pngs(d: Path, n: int) -> list[str]:
+    out = []
+    for i in range(n):
+        p = d / f"ref{i + 1}.png"
+        p.write_bytes(PNG_1PX)
+        out.append(str(p))
+    return out
+
+
+def test_validate_reference_count_limits(uploads_dir):
+    schema = parse_dynamic_inputs(_load(REF))
+    base = {"1": "prompt"}
+    for n in (1, 4, 9):
+        clean, errs = validate_input_values(schema, {**base, REF_KEY: _pngs(uploads_dir, n)})
+        assert errs == [] and len(clean[REF_KEY]) == n
+    _, errs = validate_input_values(schema, {**base, REF_KEY: _pngs(uploads_dir, 10)})
+    assert errs == ["参考图最多 9 张（当前 10 张），请删除多余的图片"]
+    _, errs = validate_input_values(schema, base)
+    assert errs == ["需要至少 1 张参考图"]
+    _, errs = validate_input_values(schema, {**base, REF_KEY: []})
+    assert errs == ["需要至少 1 张参考图"]
+
+
+def test_validate_rejects_bad_reference_files(uploads_dir):
+    schema = parse_dynamic_inputs(_load(REF))
+    gif = uploads_dir / "anim.gif"
+    gif.write_bytes(b"GIF89a")
+    ok = _pngs(uploads_dir, 1)[0]
+    _, errs = validate_input_values(schema, {"1": "p", REF_KEY: [ok, str(gif)]})
+    assert errs == ["参考图 2：格式不支持，请使用 PNG / JPG / WebP"]
+    _, errs = validate_input_values(schema, {"1": "p", REF_KEY: ["/etc/passwd.png"]})
+    assert errs == ["参考图 1：只能使用在本页上传或从生成结果选入的图片"]
+    _, errs = validate_input_values(schema, {"1": "p", REF_KEY: [str(uploads_dir / "gone.png")]})
+    assert errs == ["参考图 1：文件已不存在，请重新上传"]
+
+
+def test_validate_requires_first_frame_and_input_image():
+    _, errs = validate_input_values(parse_dynamic_inputs(_load(I2V)), {"1": "p"})
+    assert errs == ["请上传首帧"]
+    _, errs = validate_input_values(
+        parse_dynamic_inputs(_load(I2V)), {"1": "p", LAST_KEY: "/u/l.png"}
+    )
+    assert errs == ["请上传首帧"]
+    clean, errs = validate_input_values(
+        parse_dynamic_inputs(_load(I2V)), {"1": "p", "901": "/u/f.png"}
+    )
+    assert errs == [] and LAST_KEY not in clean
+    _, errs = validate_input_values(parse_dynamic_inputs(_load(QWEN_EDIT)), {"4@prompt": "p"})
+    assert errs == ["请上传输入图"]
+
+
+# ---------------------------------------------------------------------------
+# Full chain against a fake ComfyUI
+# ---------------------------------------------------------------------------
+
+
+class _NamedUploadHandler(_FakeComfyHandler):
+    """/upload/image answers with the uploaded file's own name, like ComfyUI."""
+
+    def do_POST(self):  # noqa: N802 — BaseHTTPRequestHandler hook name
+        if self.path != "/upload/image":
+            super().do_POST()
+            return
+        length = int(self.headers.get("Content-Length") or 0)
+        body = self.rfile.read(length) if length else b""
+        self.server.requests.append(self.path)
+        self.server.uploads.append(body)
+        m = re.search(rb'filename="([^"]+)"', body)
+        name = m.group(1).decode() if m else "x.png"
+        self.server.upload_names.append(name)
+        self._json(200, {"name": name, "subfolder": "calliope", "type": "input"})
+
+
+@pytest.fixture
+def named_comfy():
+    server = ThreadingHTTPServer(("127.0.0.1", 0), _NamedUploadHandler)
+    server.requests = []
+    server.prompts = []
+    server.uploads = []
+    server.upload_names = []
+    server.history = {}
+    server.fail_prompt = False
+    server.out_name = "ref2v_00001_.mp4"
+    server.outputs_key = "images"
+    thread = threading.Thread(target=server.serve_forever, daemon=True)
+    thread.start()
+    try:
+        yield server
+    finally:
+        server.shutdown()
+        server.server_close()
+
+
+def _upload(client, name: str) -> str:
+    r = client.post("/api/playground/uploads", files={"file": (name, PNG_1PX, "image/png")})
+    assert r.status_code == 200, r.text
+    return r.json()["path"]
+
+
+def _generate(client, wf_id: int, values: dict, source: str = "studio-video"):
+    return client.post(
+        "/api/playground/generate",
+        json={
+            "workflow_id": wf_id,
+            "input_values": values,
+            "source": source,
+            "endpoint_id": settings.comfyui_active_id,
+        },
+    )
+
+
+@pytest.mark.parametrize("count", [1, 4, 9])
+def test_ref2v_chain_uploads_every_image_and_wires_it_in_order(client, named_comfy, count):
+    with _real_run(client, named_comfy):
+        wf_id = _import_workflow(client, "H3 参考生视频", "video", _load(REF))
+        paths = [_upload(client, f"角色{i}.png") for i in range(1, count + 1)]
+        r = _generate(
+            client,
+            wf_id,
+            {"1": "<Subject 1> 走进雨夜码头", REF_KEY: paths, "124@steps": 4, "133": 2},
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "done", job.get("error")
+        assert job["payload"]["input_values"][REF_KEY] == paths
+
+    assert len(named_comfy.prompts) == 1
+    prompt = named_comfy.prompts[0]["prompt"]
+    expected = [f"calliope/{Path(p).name}" for p in paths]
+    assert [img for _k, img in _ref_links(prompt)] == expected
+    assert named_comfy.upload_names == [Path(p).name for p in paths]
+    assert prompt["1"]["inputs"]["value"] == "<Subject 1> 走进雨夜码头"
+    assert prompt["124"]["inputs"]["steps"] == 4
+    assert prompt["133"]["inputs"]["value"] == 2
+    # no leftover default reference and no unconsumed LoadImage
+    assert "reference_1.png" not in json.dumps(prompt)
+    loaders = {n for n, v in prompt.items() if v["class_type"] == "LoadImage"}
+    wired = {v[0] for k, v in prompt["131"]["inputs"].items() if k.startswith("ref_images.")}
+    assert loaders == wired
+
+
+def test_ref2v_replace_and_delete_leave_no_stale_image(client, named_comfy):
+    with _real_run(client, named_comfy):
+        wf_id = _import_workflow(client, "H3 参考生视频", "video", _load(REF))
+        a, b, c = (_upload(client, n) for n in ("a.png", "b.png", "c.png"))
+        r = _generate(client, wf_id, {"1": "x", REF_KEY: [a, b, c]})
+        assert _wait_done(client, r.json()["job"]["id"])["status"] == "done"
+        # user replaced #2 with d and deleted #3
+        d = _upload(client, "d.png")
+        r = _generate(client, wf_id, {"1": "x", REF_KEY: [a, d]})
+        assert _wait_done(client, r.json()["job"]["id"])["status"] == "done"
+    second = named_comfy.prompts[1]["prompt"]
+    assert [img for _k, img in _ref_links(second)] == [
+        f"calliope/{Path(a).name}",
+        f"calliope/{Path(d).name}",
+    ]
+    dumped = json.dumps(second)
+    assert Path(b).name not in dumped and Path(c).name not in dumped
+
+
+def test_ref2v_ten_images_rejected_before_queue(client, named_comfy):
+    with _real_run(client, named_comfy):
+        wf_id = _import_workflow(client, "H3 参考生视频", "video", _load(REF))
+        paths = [_upload(client, f"r{i}.png") for i in range(10)]
+        r = _generate(client, wf_id, {"1": "x", REF_KEY: paths})
+        assert r.status_code == 400
+        assert "参考图最多 9 张" in r.json()["detail"]
+        r = _generate(client, wf_id, {"1": "x"})
+        assert r.status_code == 400
+        assert "需要至少 1 张参考图" in r.json()["detail"]
+    assert named_comfy.prompts == [] and named_comfy.upload_names == []
+
+
+def test_i2v_chain_uploads_first_frame(client, named_comfy):
+    with _real_run(client, named_comfy):
+        wf_id = _import_workflow(client, "H3 图生视频", "video", _load(I2V))
+        r = _generate(client, wf_id, {"1": "镜头缓慢推近"})
+        assert r.status_code == 400 and "请上传首帧" in r.json()["detail"]
+        first = _upload(client, "首帧.png")
+        r = _generate(client, wf_id, {"1": "镜头缓慢推近", "901": first, "124@denoise": 0.8})
+        assert r.status_code == 200, r.text
+        assert _wait_done(client, r.json()["job"]["id"])["status"] == "done"
+    prompt = named_comfy.prompts[0]["prompt"]
+    assert prompt["901"]["inputs"]["image"] == f"calliope/{Path(first).name}"
+    assert prompt["131"]["inputs"]["first_frame"] == ["901", 0]
+    assert "last_frame" not in prompt["131"]["inputs"]
+    assert prompt["124"]["inputs"]["denoise"] == 0.8
+
+
+def test_fl2v_chain_uploads_first_and_last_frame_into_their_own_inputs(client, named_comfy):
+    with _real_run(client, named_comfy):
+        wf_id = _import_workflow(client, "H3 首尾帧生视频", "video", _load(I2V))
+        listed = next(w for w in client.get("/api/workflows").json() if w["id"] == wf_id)
+        assert listed["usage"] == "image2video"
+        slots = {i["nodeId"]: i for i in listed["input_schema"] if i["kind"] == "image"}
+        assert slots["901"]["role"] == "first_frame" and slots[LAST_KEY]["role"] == "last_frame"
+        last = _upload(client, "尾帧.png")
+        r = _generate(client, wf_id, {"1": "从白天过渡到夜晚", LAST_KEY: last})
+        assert r.status_code == 400 and "请上传首帧" in r.json()["detail"]
+        first = _upload(client, "首帧.png")
+        r = _generate(client, wf_id, {"1": "从白天过渡到夜晚", "901": first, LAST_KEY: last})
+        assert r.status_code == 200, r.text
+        assert _wait_done(client, r.json()["job"]["id"])["status"] == "done"
+    prompt = named_comfy.prompts[0]["prompt"]
+    node = prompt["131"]["inputs"]
+    assert prompt[node["first_frame"][0]]["inputs"]["image"] == f"calliope/{Path(first).name}"
+    assert prompt[node["last_frame"][0]]["inputs"]["image"] == f"calliope/{Path(last).name}"
+    assert node["first_frame"][0] != node["last_frame"][0]
+    assert sorted(named_comfy.upload_names) == sorted([Path(first).name, Path(last).name])
+
+
+def test_migration_renames_the_imported_first_frame_workflow(tmp_path):
+    import asyncio
+    import sqlite3
+
+    from calliope.db import migrate_db
+
+    db = tmp_path / "c.db"
+    asyncio.run(migrate_db(db))
+    conn = sqlite3.connect(db)
+    i2v, ref = json.dumps(_load(I2V)), json.dumps(_load(REF))
+    conn.executemany(
+        "INSERT INTO workflows (name, kind, workflow_json, description) VALUES (?, 'video', ?, ?)",
+        [
+            ("H3 图生视频·首帧（04 用户提供）", i2v, None),
+            ("H3图生视频·首帧", i2v, "我自己写的说明"),
+            ("图生视频·首帧模板", ref, None),  # not the FL2VA graph — left alone
+            ("我的视频工作流", i2v, None),  # user already renamed — left alone
+        ],
+    )
+    conn.commit()
+    conn.close()
+    asyncio.run(migrate_db(db))
+    asyncio.run(migrate_db(db))  # idempotent
+    conn = sqlite3.connect(db)
+    rows = conn.execute("SELECT name, description FROM workflows ORDER BY id").fetchall()
+    conn.close()
+    assert rows[0] == (
+        "H3 首尾帧生视频（04 用户提供）",
+        "首帧必填，尾帧可选：只传首帧为图生视频，同时传尾帧为首尾帧生视频",
+    )
+    assert rows[1] == ("H3首尾帧生视频", "我自己写的说明")  # suffix kept, description kept
+    assert rows[2] == ("图生视频·首帧模板", None)
+    assert rows[3] == ("我的视频工作流", None)
+
+
+def test_broken_qwen_import_warns_and_generation_is_refused(client, named_comfy):
+    with _real_run(client, named_comfy):
+        analyzed = client.post("/api/workflows/analyze", json={"workflow_json": _load(QWEN_EDIT)})
+        assert analyzed.status_code == 200
+        codes = {w["code"] for w in analyzed.json()["warnings"]}
+        assert {"missing_class_type", "missing_model_link", "orphan_latent"} <= codes
+        # importing is allowed (the user may fix it later) …
+        wf_id = _import_workflow(client, "Qwen 图片编辑", "image", _load(QWEN_EDIT))
+        listed = next(w for w in client.get("/api/workflows").json() if w["id"] == wf_id)
+        assert any(w["level"] == "error" for w in listed["warnings"])
+        # … but it never reaches ComfyUI and never shows as done
+        img = _upload(client, "门面.png")
+        r = _generate(client, wf_id, {"4@prompt": "换招牌", "10": img}, source="studio-image")
+        assert r.status_code == 400
+        assert "重新导出" in r.json()["detail"]
+        assert client.get("/api/playground/jobs").json() == []
+    assert named_comfy.prompts == [] and named_comfy.upload_names == []
+
+
+def test_repaired_qwen_export_runs_with_its_input_image(client, named_comfy):
+    wf = _load(QWEN_EDIT)
+    wf["1"] = {
+        "class_type": "UNETLoader",
+        "inputs": {
+            "unet_name": "qwen_image_2.1_int8_convrot.safetensors",
+            "weight_dtype": "default",
+        },
+    }
+    del wf["9"]
+    wf["6"]["inputs"]["model"] = ["1", 0]
+    with _real_run(client, named_comfy):
+        named_comfy.out_name = "qwen_image_00001_.png"
+        wf_id = _import_workflow(client, "Qwen 图片编辑（修复版）", "image", wf)
+        img = _upload(client, "门面.png")
+        r = _generate(
+            client, wf_id, {"4@prompt": "换招牌", "10": img, "4@resolution": 1536, "6@steps": 20},
+            source="studio-image",
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "done" and job["output_paths"]
+    prompt = named_comfy.prompts[0]["prompt"]
+    assert prompt["10"]["inputs"]["image"] == f"calliope/{Path(img).name}"
+    assert prompt["4"]["inputs"]["images.image_1"] == ["10", 0]
+    assert prompt["4"]["inputs"]["resolution"] == 1536
+    assert prompt["6"]["inputs"]["steps"] == 20
+
+
+def test_worker_refuses_broken_workflow_from_other_callers(client, named_comfy):
+    """Workbench/agent jobs skip the playground check — the worker still stops them."""
+    from calliope.db import get_db
+    from calliope.queue.manager import queue_manager
+    from calliope.routers.playground import ensure_playground_project
+
+    with _real_run(client, named_comfy):
+        wf_id = _import_workflow(client, "Qwen 图片编辑", "image", _load(QWEN_EDIT))
+        conn = get_db(settings.db_path)
+        try:
+            pid = ensure_playground_project(conn)
+        finally:
+            conn.close()
+        job = queue_manager.enqueue(
+            project_id=pid, kind="image", workflow_id=wf_id, scene_id=None,
+            payload={"input_values": {"4@prompt": "x"}, "source": "playground"},
+        )
+        done = _wait_done(client, job["id"])
+    assert done["status"] == "failed"
+    assert "重新导出" in (done["error"] or "")
+    assert named_comfy.prompts == []
@@ -0,0 +1,260 @@
+"""LLM connection test endpoint: probe an OpenAI-compatible endpoint without paid keys."""
+
+from __future__ import annotations
+
+import json
+import socket
+import threading
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+
+import pytest
+
+from calliope.config import settings
+
+
+class _FakeOpenAIHandler(BaseHTTPRequestHandler):
+    server_version = "FakeOpenAI/1.0"
+
+    def do_POST(self):
+        length = int(self.headers.get("Content-Length") or 0)
+        body = json.loads(self.rfile.read(length) or b"{}")
+        auth = self.headers.get("Authorization") or ""
+        seen = {"path": self.path, "auth": auth, "body": body}
+        self.server.requests.append(seen)
+        if self.path != "/v1/chat/completions":
+            self._send(404, {"error": "not found"})
+            return
+        if self.server.require_auth and auth != f"Bearer {self.server.api_key}":
+            self._send(401, {"error": {"message": "Incorrect API key"}})
+            return
+        self._send(
+            200,
+            {
+                "id": "chatcmpl-test",
+                "object": "chat.completion",
+                "model": body.get("model", "fake"),
+                "choices": [
+                    {"index": 0, "message": {"role": "assistant", "content": "pong"}, "finish_reason": "stop"}
+                ],
+            },
+        )
+
+    def _send(self, status: int, payload: dict) -> None:
+        data = json.dumps(payload).encode("utf-8")
+        self.send_response(status)
+        self.send_header("Content-Type", "application/json")
+        self.send_header("Content-Length", str(len(data)))
+        self.end_headers()
+        self.wfile.write(data)
+
+    def log_message(self, format, *args):
+        pass
+
+
+@pytest.fixture
+def fake_openai():
+    server = ThreadingHTTPServer(("127.0.0.1", 0), _FakeOpenAIHandler)
+    server.requests = []
+    server.require_auth = False
+    server.api_key = ""
+    thread = threading.Thread(target=server.serve_forever, daemon=True)
+    thread.start()
+    try:
+        yield server
+    finally:
+        server.shutdown()
+        server.server_close()
+
+
+def _url(server) -> str:
+    return f"http://127.0.0.1:{server.server_address[1]}/v1"
+
+
+def _snapshot() -> dict:
+    return {
+        "llm_profiles": [dict(p) for p in (settings.llm_profiles or [])],
+        "llm_active_id": settings.llm_active_id,
+        "llm_base_url": settings.llm_base_url,
+        "llm_model": settings.llm_model,
+        "llm_api_key": settings.llm_api_key,
+    }
+
+
+def _restore(prev: dict) -> None:
+    for key, value in prev.items():
+        setattr(settings, key, value)
+
+
+def test_llm_test_success(client, fake_openai):
+    r = client.post(
+        "/api/settings/llm-test",
+        json={"base_url": _url(fake_openai), "model": "fake-model", "api_key": "sk-test"},
+    )
+    assert r.status_code == 200
+    body = r.json()
+    assert body["ok"] is True
+    assert isinstance(body["elapsed_ms"], int)
+    assert fake_openai.requests[0]["path"] == "/v1/chat/completions"
+    assert fake_openai.requests[0]["auth"] == "Bearer sk-test"
+    assert fake_openai.requests[0]["body"]["model"] == "fake-model"
+
+
+def test_llm_test_uses_saved_profile_secret(client, fake_openai):
+    prev = _snapshot()
+    fake_openai.require_auth = True
+    fake_openai.api_key = "sk-saved-secret"
+    try:
+        pid = "cccccccc-cccc-cccc-cccc-cccccccccccc"
+        r = client.post(
+            "/api/settings",
+            json={
+                "llm_profiles": [
+                    {
+                        "id": pid,
+                        "name": "Fake",
+                        "base_url": _url(fake_openai),
+                        "model": "fake-model",
+                        "api_key": "sk-saved-secret",
+                    }
+                ],
+                "llm_active_id": pid,
+            },
+        )
+        assert r.status_code == 200
+        assert r.json()["llm_profiles"][0]["api_key"] is True
+
+        r = client.post("/api/settings/llm-test", json={"profile_id": pid})
+        assert r.status_code == 200
+        assert r.json()["ok"] is True
+        assert fake_openai.requests[-1]["auth"] == "Bearer sk-saved-secret"
+    finally:
+        _restore(prev)
+
+
+def test_llm_test_auth_rejected(client, fake_openai):
+    fake_openai.require_auth = True
+    fake_openai.api_key = "sk-right-one"
+    r = client.post(
+        "/api/settings/llm-test",
+        json={"base_url": _url(fake_openai), "model": "fake-model", "api_key": "sk-wrong-one"},
+    )
+    assert r.status_code == 200
+    body = r.json()
+    assert body["ok"] is False
+    assert body["error"] == "auth"
+    assert "401" in body["detail"]
+
+
+def test_llm_test_connection_refused(client):
+    sock = socket.socket()
+    sock.bind(("127.0.0.1", 0))
+    port = sock.getsockname()[1]
+    sock.close()
+    r = client.post(
+        "/api/settings/llm-test",
+        json={"base_url": f"http://127.0.0.1:{port}/v1", "model": "fake-model"},
+    )
+    assert r.status_code == 200
+    body = r.json()
+    assert body["ok"] is False
+    assert body["error"] == "connect"
+    assert body["detail"]
+
+
+def test_llm_test_validation(client):
+    r = client.post("/api/settings/llm-test", json={"model": "only-model"})
+    assert r.status_code == 400
+    r = client.post("/api/settings/llm-test", json={"profile_id": "does-not-exist"})
+    assert r.status_code == 404
+
+
+def test_llm_test_accepts_timeout_sec(client, fake_openai):
+    r = client.post(
+        "/api/settings/llm-test",
+        json={
+            "base_url": _url(fake_openai),
+            "model": "fake-model",
+            "api_key": "sk-test",
+            "timeout_sec": 10,
+        },
+    )
+    assert r.status_code == 200
+    assert r.json()["ok"] is True
+
+
+def test_llm_test_timeout_sec_bounds(client):
+    for bad in (0, 4, 61):
+        r = client.post(
+            "/api/settings/llm-test",
+            json={"base_url": "http://127.0.0.1:1/v1", "model": "m", "timeout_sec": bad},
+        )
+        assert r.status_code == 422, bad
+
+
+def test_settings_hide_key_but_expose_tail(client, fake_openai):
+    prev = _snapshot()
+    try:
+        pid = "dddddddd-dddd-dddd-dddd-dddddddddddd"
+        r = client.post(
+            "/api/settings",
+            json={
+                "llm_profiles": [
+                    {
+                        "id": pid,
+                        "name": "Tail",
+                        "base_url": _url(fake_openai),
+                        "model": "fake-model",
+                        "api_key": "sk-tail-3f2a",
+                    }
+                ],
+                "llm_active_id": pid,
+            },
+        )
+        assert r.status_code == 200
+        profile = r.json()["llm_profiles"][0]
+        assert profile["api_key"] is True
+        assert profile["api_key_tail"] == "3f2a"
+        assert "sk-tail" not in r.text
+    finally:
+        _restore(prev)
+
+
+def test_style_role_assignment_round_trip(client, fake_openai):
+    """视觉设计 (style) is one of the five AIGC agents on the models page."""
+    prev = _snapshot()
+    prev_assign = dict(settings.agent_llm_assignments or {})
+    try:
+        pid = "eeeeeeee-eeee-eeee-eeee-eeeeeeeeeeee"
+        r = client.post(
+            "/api/settings",
+            json={
+                "llm_profiles": [
+                    {
+                        "id": pid,
+                        "name": "StyleLLM",
+                        "base_url": _url(fake_openai),
+                        "model": "fake-model",
+                    }
+                ],
+                "llm_active_id": pid,
+                "agent_llm_assignments": {
+                    "main": None,
+                    "planner": None,
+                    "story": pid,
+                    "style": pid,
+                    "script": None,
+                    "assets": None,
+                    "video": None,
+                },
+            },
+        )
+        assert r.status_code == 200
+        body = r.json()
+        assert body["agent_llm_assignments"]["style"] == pid
+        assert body["agent_llm_assignments"]["story"] == pid
+
+        resolved = settings.resolve_llm_for_role("style")
+        assert resolved["id"] == pid
+    finally:
+        _restore(prev)
+        settings.agent_llm_assignments = prev_assign
@@ -216,6 +216,18 @@ def test_settings_accepts_agent_llm_assignments(client):
        # Unknown role keys are dropped, known roles stored (incl. explicit None)
        assert body["agent_llm_assignments"] == {"video": a_id, "story": None}

+        # HEL-619: updates are per-role incremental — a partial payload must
+        # not wipe roles it does not mention (rapid-switch race).
+        r = client.post(
+            "/api/settings",
+            json={"agent_llm_assignments": {"main": a_id}},
+        )
+        assert r.status_code == 200
+        body = r.json()
+        assert body["agent_llm_assignments"]["main"] == a_id
+        assert body["agent_llm_assignments"]["video"] == a_id
+        assert body["agent_llm_assignments"]["story"] is None
+
        r = client.post(
            "/api/settings",
            json={"agent_llm_assignments": {"video": "no-such-profile"}},
@@ -0,0 +1,266 @@
+"""媒体组泛化（HEL-643 批次 3）：参考视频/参考音频按 JSON 实际连线进入
+input_schema 与提交流程；无连线则无入口；05_ref2va 只保留参考图。
+
+视频/音频参考的真实 H3 JSON 暂无可执行样本（.15 无 ComfyUI），本套用
+自造 fixture + fake ComfyUI 验证解析/表单/回填/上传全链路（模拟链路）。
+"""
+
+from __future__ import annotations
+
+import json
+import time
+from pathlib import Path
+
+import pytest
+
+from calliope.comfyui.parser import parse_dynamic_inputs
+from calliope.comfyui.patcher import patch_workflow
+from calliope.comfyui.validate import validate_input_values
+from calliope.config import settings
+from tests.test_studio_generation import PNG_1PX, _real_run
+
+FIXTURES = Path(__file__).parent / "fixtures" / "comfy_native"
+
+
+@pytest.fixture
+def uploads_dir(client):
+    d = settings.assets_dir / "uploads"
+    d.mkdir(parents=True, exist_ok=True)
+    return d
+
+
+def _load_05() -> dict:
+    return json.loads((FIXTURES / "h3_ref2va_05_API.json").read_text(encoding="utf-8"))
+
+
+def _ref2va_workflow(*, images=1, videos=1, audios=1) -> dict:
+    """H3 Ref2VA 形状的自造 JSON：图/视频/音频各一组 Autogrow 连线。"""
+    wf: dict = {
+        "1": {
+            "class_type": "PrimitiveStringMultiline",
+            "inputs": {"value": "提示词"},
+        },
+        "92": {
+            "class_type": "SaveVideo",
+            "inputs": {"video": ["131", 0]},
+        },
+        "131": {
+            "class_type": "MiniMaxH3ReferenceToVideo",
+            "inputs": {"prompt": ["1", 0]},
+        },
+        "901": {"class_type": "LoadImage", "inputs": {"image": "ref.png"}},
+        "902": {"class_type": "LoadVideo", "inputs": {"file": "ref.mp4", "force_rate": 0}},
+        "903": {"class_type": "LoadAudio", "inputs": {"audio": "ref.wav"}},
+    }
+    ins = wf["131"]["inputs"]
+    for i in range(images):
+        ins[f"ref_images.ref_image_{i}"] = ["901", 0]
+    for i in range(videos):
+        ins[f"ref_videos.ref_video_{i}"] = ["902", 0]
+    for i in range(audios):
+        ins[f"ref_audios.ref_audio_{i}"] = ["903", 0]
+    return wf
+
+
+def _entry(schema: list[dict], key_suffix: str) -> dict | None:
+    for e in schema:
+        if e["nodeId"].endswith("@" + key_suffix):
+            return e
+    return None
+
+
+# ---------------------------------------------------------------------------
+# Schema: 入口只由实际连线决定
+# ---------------------------------------------------------------------------
+
+
+def test_ref2va_schema_exposes_three_media_groups():
+    schema = parse_dynamic_inputs(_ref2va_workflow())
+    img = _entry(schema, "ref_images")
+    vid = _entry(schema, "ref_videos")
+    aud = _entry(schema, "ref_audios")
+    assert img and img["kind"] == "image_list" and img["role"] == "reference_image"
+    assert img["max"] == 9 and img["label"] == "参考图"
+    assert vid and vid["kind"] == "video_list" and vid["role"] == "reference_video"
+    assert vid["max"] == 3 and vid["label"] == "参考视频"
+    assert aud and aud["kind"] == "audio_list" and aud["role"] == "reference_audio"
+    assert aud["max"] == 3 and aud["label"] == "参考音频"
+    # 官方限额提示按节点类名驱动（通用检测不携带 hint）
+    assert img["media_hint"] == vid["media_hint"] == aud["media_hint"] == "minimax_h3_ref2va"
+    # 被组吸收的 loader 不再单独出现
+    assert not any(e["nodeId"] == "902" for e in schema)
+    assert not any(e["nodeId"] == "903" for e in schema)
+
+
+def test_unwired_media_kinds_produce_no_entry():
+    schema = parse_dynamic_inputs(_ref2va_workflow(videos=0, audios=0))
+    assert _entry(schema, "ref_images") is not None
+    assert _entry(schema, "ref_videos") is None
+    assert _entry(schema, "ref_audios") is None
+
+
+def test_generic_class_gets_group_without_hint():
+    wf = _ref2va_workflow(videos=0, audios=0)
+    wf["20"] = {"class_type": "GenericRefNode", "inputs": {}}
+    wf["701"] = {"class_type": "VHS_LoadVideo", "inputs": {"video": "a.mp4"}}
+    wf["702"] = {"class_type": "VHS_LoadVideo", "inputs": {"video": "b.mp4"}}
+    wf["20"]["inputs"]["media.clip_0"] = ["701", 0]
+    wf["20"]["inputs"]["media.clip_1"] = ["702", 0]
+    schema = parse_dynamic_inputs(wf)
+    g = _entry(schema, "media")
+    assert g and g["kind"] == "video_list" and g["max"] == 9
+    assert "media_hint" not in g
+
+
+def test_05_ref2va_fixture_stays_image_only():
+    schema = parse_dynamic_inputs(_load_05())
+    lists = [e for e in schema if e["kind"].endswith("_list")]
+    assert len(lists) == 1
+    assert lists[0]["kind"] == "image_list" and lists[0]["max"] == 9
+    assert lists[0]["nodeId"] == "131@ref_images"
+
+
+# ---------------------------------------------------------------------------
+# Validation
+# ---------------------------------------------------------------------------
+
+
+def _media_file(path: str, data: bytes) -> str:
+    p = Path(path)
+    p.parent.mkdir(parents=True, exist_ok=True)
+    p.write_bytes(data)
+    return str(p)
+
+
+def test_validate_video_and_audio_lists(uploads_dir):
+    schema = parse_dynamic_inputs(_ref2va_workflow())
+    img_key = _entry(schema, "ref_images")["nodeId"]
+    vid_key = _entry(schema, "ref_videos")["nodeId"]
+    aud_key = _entry(schema, "ref_audios")["nodeId"]
+    png = _media_file(str(uploads_dir / "ok.png"), PNG_1PX)
+    mp4 = _media_file(str(uploads_dir / "ok.mp4"), b"00")
+    mp3 = _media_file(str(uploads_dir / "ok.mp3"), b"00")
+
+    clean, errs = validate_input_values(
+        schema, {"1": "p", img_key: [png], vid_key: [mp4], aud_key: [mp3]}
+    )
+    assert errs == [] and clean[vid_key] == [mp4] and clean[aud_key] == [mp3]
+
+    # 错误格式（图片文件填视频槽 / 视频文件填音频槽）
+    _, errs = validate_input_values(
+        schema, {"1": "p", img_key: [png], vid_key: [png], aud_key: [mp3]}
+    )
+    assert errs == ["参考视频 1：格式不支持，请使用 MP4 / WebM / MOV"]
+    _, errs = validate_input_values(
+        schema, {"1": "p", img_key: [png], vid_key: [mp4], aud_key: [mp4]}
+    )
+    assert errs == ["参考音频 1：格式不支持，请使用 MP3 / WAV / M4A"]
+
+    # 上限（H3 官方 3 段）与最少 1 段
+    four = [_media_file(str(uploads_dir / f"v{i}.mp4"), b"00") for i in range(4)]
+    _, errs = validate_input_values(
+        schema, {"1": "p", img_key: [png], vid_key: four, aud_key: [mp3]}
+    )
+    assert errs == ["参考视频最多 3 段（当前 4 段），请删除多余的视频"]
+    _, errs = validate_input_values(
+        schema, {"1": "p", img_key: [png], aud_key: [mp3]}
+    )
+    assert errs == ["需要至少 1 段参考视频"]
+
+
+# ---------------------------------------------------------------------------
+# Patcher + full chain against fake ComfyUI
+# ---------------------------------------------------------------------------
+
+
+def test_patcher_clones_and_backfills_each_media_kind(uploads_dir):
+    wf = _ref2va_workflow()
+    schema = parse_dynamic_inputs(wf)
+    pngs = [_media_file(str(uploads_dir / "r1.png"), PNG_1PX),
+            _media_file(str(uploads_dir / "r2.png"), PNG_1PX)]
+    mp4 = _media_file(str(uploads_dir / "v1.mp4"), b"00")
+    mp3 = _media_file(str(uploads_dir / "a1.mp3"), b"00")
+    patched = patch_workflow(
+        wf,
+        {
+            _entry(schema, "ref_images")["nodeId"]: pngs,
+            _entry(schema, "ref_videos")["nodeId"]: [mp4],
+            _entry(schema, "ref_audios")["nodeId"]: [mp3],
+        },
+    )
+    ins = patched["131"]["inputs"]
+    image_links = [v for k, v in ins.items() if k.startswith("ref_images.")]
+    video_links = [v for k, v in ins.items() if k.startswith("ref_videos.")]
+    audio_links = [v for k, v in ins.items() if k.startswith("ref_audios.")]
+    assert len(image_links) == 2 and len(video_links) == 1 and len(audio_links) == 1
+    loaders = {nid: n for nid, n in patched.items()
+               if n.get("class_type") in ("LoadImage", "LoadVideo", "LoadAudio")}
+    imgs = [n for n in loaders.values() if n["class_type"] == "LoadImage"]
+    vids = [n for n in loaders.values() if n["class_type"] == "LoadVideo"]
+    auds = [n for n in loaders.values() if n["class_type"] == "LoadAudio"]
+    assert len(imgs) == 2 and all(n["inputs"]["image"] in pngs for n in imgs)
+    assert vids and vids[0]["inputs"]["file"] == mp4
+    assert auds and auds[0]["inputs"]["audio"] == mp3
+    # 克隆出的节点带中文槽位标题
+    assert {n["_meta"]["title"] for n in imgs} == {"参考图 1", "参考图 2"}
+    assert vids[0]["_meta"]["title"] == "参考视频 1"
+    assert auds[0]["_meta"]["title"] == "参考音频 1"
+
+
+def test_full_chain_uploads_and_backfills_media_groups(client, fake_comfy, uploads_dir):
+    """提交 → 上传 → 回填：fake ComfyUI 收到的 prompt 里每类 loader 都
+    指向已上传文件（模拟链路：fake 端点，非真机 H3）。"""
+    wf = _ref2va_workflow()
+    png = _media_file(str(uploads_dir / "ref.png"), PNG_1PX)
+    mp4 = _media_file(str(uploads_dir / "ref.mp4"), b"00")
+    mp3 = _media_file(str(uploads_dir / "ref.mp3"), b"00")
+    r = client.post(
+        "/api/workflows",
+        json={"name": "媒体组链路", "workflow_json": wf, "usage": "ref2video"},
+    )
+    assert r.status_code == 200, r.text
+    wf_id = r.json()["id"]
+    schema = r.json()["input_schema"]
+
+    with _real_run(client, fake_comfy):
+        fake_comfy.out_name = "media_out.mp4"
+        r = client.post(
+            f"/api/workflows/{wf_id}/test",
+            json={
+                "input_values": {
+                    _entry(schema, "ref_images")["nodeId"]: [png],
+                    _entry(schema, "ref_videos")["nodeId"]: [mp4],
+                    _entry(schema, "ref_audios")["nodeId"]: [mp3],
+                }
+            },
+        )
+        assert r.status_code == 200, r.text
+        job_id = r.json()["job"]["id"]
+
+        deadline = time.time() + 25
+        job = {}
+        while time.time() < deadline:
+            job = client.get(f"/api/jobs/{job_id}").json()
+            if job["status"] not in ("pending", "running"):
+                break
+            time.sleep(0.4)
+        assert job["status"] == "done", job.get("error")
+
+    assert len(fake_comfy.uploads) >= 3  # 图、视频、音频各一次
+    queued = fake_comfy.prompts[-1]["prompt"]
+    loaders = [n for n in queued.values()
+               if n.get("class_type") in ("LoadImage", "LoadVideo", "LoadAudio")]
+    by_field = {
+        (n["class_type"], k): v
+        for n in loaders
+        for k, v in n["inputs"].items()
+        if isinstance(v, str) and "uploaded-input" in v
+    }
+    assert ("LoadImage", "image") in by_field
+    assert ("LoadVideo", "file") in by_field
+    assert ("LoadAudio", "audio") in by_field
+    # 组连线数与提交数一致
+    ins = queued["131"]["inputs"]
+    assert len([k for k in ins if k.startswith("ref_images.")]) == 1
+    assert len([k for k in ins if k.startswith("ref_videos.")]) == 1
+    assert len([k for k in ins if k.startswith("ref_audios.")]) == 1
@@ -114,7 +114,8 @@ def test_queue_prompt_surfaces_comfy_error_body(monkeypatch):

    msg = asyncio.run(run())
    assert "prompt_outputs_failed_validation" in msg
-    assert "node 12" in msg
+    assert "节点 12" in msg
+    assert "HTTP 400" in msg
    assert "Invalid audio file" in msg


@@ -89,6 +89,10 @@ def test_list_projects_includes_stats(client):
        "character_count": 0,
        "asset_ready_count": 0,
        "asset_total_count": 0,
+        # Five-stage workbench progress (HEL-614): fresh project = not started.
+        "stage_confirmed": 0,
+        "stage_status": {},
+        "active_jobs": 0,
    }


@@ -0,0 +1,411 @@
+"""HEL-627: the two workflows the user runs (Qwen Image 2.1 文生图 and
+MiniMax H3 reference 文生视频) expose every widget they really have, the
+values land in the /prompt payload, and a job is only "done" once ComfyUI
+returned real files — empty, failed, lost and placeholder runs never are."""
+
+from __future__ import annotations
+
+import json
+import threading
+import time
+from http.server import ThreadingHTTPServer
+from pathlib import Path
+
+import pytest
+
+from calliope.comfyui.parser import (
+    RESOLUTION_ASPECT_RATIOS,
+    effective_input_schema,
+    parse_dynamic_inputs,
+    resolution_selector_size,
+)
+from calliope.comfyui.validate import validate_input_values
+from calliope.config import settings
+from calliope.db import get_db
+from tests.test_studio_generation import (
+    _FakeComfyHandler,
+    _import_workflow,
+    _real_run,
+)
+
+FIXTURES = Path(__file__).parent / "fixtures" / "comfy_native"
+T2I = "wen_sheng_tu_API.json"  # image_qwen_image_2_1_t2i (2).json
+T2V = "wen_sheng_shipin_API.json"  # 01_reference_4step_sla (1).json
+
+
+def _load(name: str) -> dict:
+    return json.loads((FIXTURES / name).read_text(encoding="utf-8"))
+
+
+def _by_role(inputs: list[dict]) -> dict[str, dict]:
+    return {i["role"]: i for i in inputs if i.get("role")}
+
+
+class _StatusHandler(_FakeComfyHandler):
+    """Fake ComfyUI with /queue and scriptable history outcomes."""
+
+    def do_GET(self):
+        srv = self.server
+        if self.path == "/queue":
+            if srv.queue_mode is None:
+                self._json(404, {"error": "not found"})
+                return
+            self.server.requests.append(self.path)
+            items = [[i, pid, {}, {}, []] for i, pid in enumerate(srv.history)]
+            if srv.queue_mode == "running":
+                self._json(200, {"queue_running": items, "queue_pending": []})
+            elif srv.queue_mode == "pending":
+                blocker = [[-1, "someone-else", {}, {}, []]]
+                self._json(200, {"queue_running": blocker, "queue_pending": items})
+            else:
+                self._json(200, {"queue_running": [], "queue_pending": []})
+            return
+        if self.path.startswith("/history/"):
+            if srv.lose_history or srv.hidden_history_polls > 0:
+                srv.hidden_history_polls = max(0, srv.hidden_history_polls - 1)
+                self.server.requests.append(self.path)
+                self._json(200, {})
+                return
+        super().do_GET()
+
+    def do_POST(self):
+        super().do_POST()
+        if self.path == "/prompt" and self.server.history_patch:
+            for entry in self.server.history.values():
+                entry.update(self.server.history_patch)
+
+
+@pytest.fixture
+def status_comfy():
+    server = ThreadingHTTPServer(("127.0.0.1", 0), _StatusHandler)
+    server.requests = []
+    server.prompts = []
+    server.uploads = []
+    server.history = {}
+    server.fail_prompt = False
+    server.out_name = "out-1.png"
+    server.outputs_key = "images"
+    server.queue_mode = None
+    server.lose_history = False
+    server.hidden_history_polls = 0
+    server.history_patch = None
+    thread = threading.Thread(target=server.serve_forever, daemon=True)
+    thread.start()
+    try:
+        yield server
+    finally:
+        server.shutdown()
+        server.server_close()
+
+
+def _wait_final(client, job_id: int, timeout: float = 25.0) -> dict:
+    deadline = time.time() + timeout
+    while time.time() < deadline:
+        for j in client.get("/api/playground/jobs").json():
+            if j["id"] == job_id and j["status"] in ("done", "failed"):
+                return j
+        time.sleep(0.2)
+    raise AssertionError(f"job {job_id} did not finish")
+
+
+def _generate(client, wf_id: int, values: dict, source: str = "studio-image"):
+    return client.post(
+        "/api/playground/generate",
+        json={
+            "workflow_id": wf_id,
+            "input_values": values,
+            "source": source,
+            "endpoint_id": settings.comfyui_active_id,
+        },
+    )
+
+
+# ---------------------------------------------------------------------------
+# Parameter detection on the two real workflows
+# ---------------------------------------------------------------------------
+
+
+def test_real_t2i_exposes_ratio_megapixels_steps_denoise():
+    roles = _by_role(parse_dynamic_inputs(_load(T2I)))
+    assert set(roles) == {
+        "prompt", "negative", "aspect_ratio", "megapixels", "batch",
+        "seed", "steps", "cfg", "denoise",
+    }
+    ratio = roles["aspect_ratio"]
+    assert ratio["nodeId"] == "13@aspect_ratio"
+    assert ratio["kind"] == "select"
+    assert ratio["defaultValue"] == "1:1 (Square)"
+    assert ratio["options"] == list(RESOLUTION_ASPECT_RATIOS)
+    assert ratio["resolution"] == {"megapixels": "13@megapixels", "multiple": 8}
+    assert roles["megapixels"]["defaultValue"] == 1
+    assert roles["steps"]["nodeId"] == "459:458@steps"
+    assert roles["steps"]["defaultValue"] == 25 and roles["steps"]["integer"] is True
+    assert roles["denoise"]["nodeId"] == "459:458@denoise"
+    assert (roles["denoise"]["min"], roles["denoise"]["max"]) == (0.0, 1.0)
+    # Width/height are wired from ResolutionSelector; they are not faked as
+    # free inputs, and the encoder's reference-image `resolution` is not exposed.
+    assert "width" not in roles and "height" not in roles
+    assert all("resolution" not in i["nodeId"] for i in parse_dynamic_inputs(_load(T2I)))
+
+
+def test_real_t2v_exposes_ratio_steps_denoise_seed_duration():
+    inputs = parse_dynamic_inputs(_load(T2V))
+    roles = _by_role(inputs)
+    assert set(roles) == {
+        "prompt", "aspect_ratio", "megapixels", "steps", "denoise", "seed", "duration",
+    }
+    assert roles["aspect_ratio"]["defaultValue"] == "16:9 (Widescreen)"
+    assert roles["aspect_ratio"]["resolution"]["multiple"] == 32
+    assert roles["megapixels"]["defaultValue"] == 0.7
+    assert roles["steps"]["nodeId"] == "124@steps" and roles["steps"]["defaultValue"] == 4
+    assert roles["seed"]["nodeId"] == "129@noise_seed"
+    assert roles["duration"]["nodeId"] == "133" and roles["duration"]["defaultValue"] == 10
+    # BasicGuider has no CFG; the frame expression hard-codes 24 fps, so no fps field.
+    assert "cfg" not in roles and "fps" not in roles
+
+
+def test_resolution_matches_comfyui_resolution_selector():
+    # The H3 workflow's own title documents 1152x640 for 16:9 · 0.7 MP · ×32.
+    assert resolution_selector_size("16:9 (Widescreen)", 0.7, 32) == (1152, 640)
+    assert resolution_selector_size("1:1 (Square)", 1, 8) == (1024, 1024)
+    assert resolution_selector_size("9:16 (Portrait Widescreen)", 1, 8) == (768, 1368)
+
+
+def test_validation_rejects_bad_values_in_chinese():
+    schema = parse_dynamic_inputs(_load(T2I))
+    clean, errors = validate_input_values(
+        schema,
+        {
+            "459:452@prompt": "猫",
+            "13@aspect_ratio": "5:4",
+            "459:458@steps": 12.5,
+            "459:458@denoise": 1.5,
+            "13@megapixels": "abc",
+        },
+    )
+    assert any("画面比例" in e and "5:4" in e for e in errors)
+    assert any("采样步数" in e and "整数" in e for e in errors)
+    assert any("降噪强度" in e and "不能大于 1" in e for e in errors)
+    assert any("总像素" in e and "数字" in e for e in errors)
+    clean, errors = validate_input_values(schema, {"459:458@steps": "30", "13@megapixels": 2})
+    assert errors == []  # an omitted prompt falls back to the workflow's own text
+    assert clean["459:458@steps"] == 30 and isinstance(clean["459:458@steps"], int)
+
+    blank = [dict(e, defaultValue="") if e.get("role") == "prompt" else e for e in schema]
+    _, errors = validate_input_values(blank, {"459:452@prompt": "  "})
+    assert errors == ["请填写「正向提示词」"]
+
+
+def test_stale_auto_schema_is_refreshed_without_reimport(client):
+    wf = _load(T2I)
+    stale = [
+        {"nodeId": "459:452@prompt", "label": "正向提示词", "role": "prompt",
+         "kind": "textarea", "defaultValue": "x", "required": True, "auto": True},
+    ]
+    conn = get_db(settings.db_path)
+    try:
+        cur = conn.execute(
+            "INSERT INTO workflows"
+            " (name, kind, workflow_json, input_schema, output_schema, is_enabled)"
+            " VALUES (?, 'image', ?, ?, '[]', 1)",
+            ("旧导入·Qwen2.1", json.dumps(wf), json.dumps(stale)),
+        )
+        conn.commit()
+        wf_id = cur.lastrowid
+    finally:
+        conn.close()
+    roles = _by_role(client.get(f"/api/workflows/{wf_id}").json()["input_schema"])
+    assert {"aspect_ratio", "megapixels", "steps", "denoise"} <= set(roles)
+
+
+def test_tagged_schema_is_kept_as_stored():
+    stored = [{"nodeId": "6", "label": "P", "role": "prompt", "kind": "textarea",
+               "required": True}]
+    assert effective_input_schema(stored, _load(T2I)) == stored
+
+
+# ---------------------------------------------------------------------------
+# Submit payload + job status against a fake ComfyUI
+# ---------------------------------------------------------------------------
+
+
+def test_t2i_values_reach_the_prompt_payload(client, status_comfy):
+    with _real_run(client, status_comfy):
+        wf_id = _import_workflow(client, "真实·Qwen2.1(参数)", "image", _load(T2I))
+        r = _generate(
+            client,
+            wf_id,
+            {
+                "459:452@prompt": "雨夜霓虹街道",
+                "459:452@negative_prompt": "模糊",
+                "13@aspect_ratio": "16:9 (Widescreen)",
+                "13@megapixels": 2,
+                "459:458@steps": "30",
+                "459:458@cfg": 2.5,
+                "459:458@denoise": 0.8,
+                "459:458@seed": 7,
+            },
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_final(client, r.json()["job"]["id"])
+        assert job["status"] == "done", job.get("error")
+        queued = status_comfy.prompts[-1]["prompt"]
+        assert queued["13"]["inputs"]["aspect_ratio"] == "16:9 (Widescreen)"
+        assert queued["13"]["inputs"]["megapixels"] == 2
+        assert queued["459:458"]["inputs"]["steps"] == 30
+        assert queued["459:458"]["inputs"]["cfg"] == 2.5
+        assert queued["459:458"]["inputs"]["denoise"] == 0.8
+        assert queued["459:458"]["inputs"]["seed"] == 7
+        assert queued["459:452"]["inputs"]["prompt"] == "雨夜霓虹街道"
+        # Wiring intact: the latent still takes its size from the selector.
+        assert queued["459:456"]["inputs"]["width"] == ["13", 0]
+        assert queued["459:456"]["inputs"]["height"] == ["13", 1]
+        assert job["comfy_prompt_id"] in status_comfy.history
+        assert job["phase"] == "finished"
+        assert job["output_paths"] and Path(job["output_paths"][0]).stat().st_size > 0
+
+
+def test_t2v_values_reach_the_prompt_payload(client, status_comfy):
+    status_comfy.outputs_key = "images"  # SaveVideo reports under "images" + animated
+    status_comfy.out_name = "clip.mp4"
+    with _real_run(client, status_comfy):
+        wf_id = _import_workflow(client, "真实·H3 参考生视频", "video", _load(T2V))
+        r = _generate(
+            client,
+            wf_id,
+            {
+                "1": "地铁车厢里的长镜头",
+                "115@aspect_ratio": "9:16 (Portrait Widescreen)",
+                "115@megapixels": 0.5,
+                "124@steps": 6,
+                "124@denoise": 1,
+                "129@noise_seed": 1234,
+                "133": 5,
+            },
+            source="studio-video",
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_final(client, r.json()["job"]["id"])
+        assert job["status"] == "done", job.get("error")
+        queued = status_comfy.prompts[-1]["prompt"]
+        assert queued["1"]["inputs"]["value"] == "地铁车厢里的长镜头"
+        assert queued["115"]["inputs"]["aspect_ratio"] == "9:16 (Portrait Widescreen)"
+        assert queued["115"]["inputs"]["megapixels"] == 0.5
+        assert queued["124"]["inputs"]["steps"] == 6
+        assert queued["129"]["inputs"]["noise_seed"] == 1234
+        assert queued["133"]["inputs"]["value"] == 5
+        assert queued["132"]["inputs"]["values.a"] == ["133", 0]
+
+
+def test_invalid_values_are_rejected_before_queueing(client, status_comfy):
+    with _real_run(client, status_comfy):
+        wf_id = _import_workflow(client, "真实·Qwen2.1(校验)", "image", _load(T2I))
+        r = _generate(client, wf_id, {"459:452@prompt": "猫", "459:458@steps": 0})
+        assert r.status_code == 400
+        assert "采样步数" in r.json()["detail"] and "不能小于 1" in r.json()["detail"]
+        r = _generate(client, wf_id, {"459:452@prompt": "猫", "13@megapixels": 99})
+        assert r.status_code == 400 and "总像素" in r.json()["detail"]
+        assert "/prompt" not in status_comfy.requests
+
+
+def test_empty_outputs_never_count_as_done(client, status_comfy):
+    status_comfy.history_patch = {"outputs": {}}
+    with _real_run(client, status_comfy):
+        wf_id = _import_workflow(client, "真实·Qwen2.1(空结果)", "image", _load(T2I))
+        job = _wait_final(client, _generate(client, wf_id, {"459:452@prompt": "猫"}).json()["job"]["id"])
+        assert job["status"] == "failed"
+        assert "没有返回任何图片或视频" in job["error"]
+        assert job["comfy_prompt_id"] and job["comfy_prompt_id"] in job["error"]
+        assert job["output_paths"] == []
+
+
+def test_comfy_execution_error_is_failed_with_reason(client, status_comfy):
+    status_comfy.history_patch = {
+        "status": {
+            "status_str": "error",
+            "completed": False,
+            "messages": [
+                ["execution_start", {}],
+                ["execution_error", {"node_type": "UNETLoader",
+                                     "exception_message": "模型文件不存在"}],
+            ],
+        },
+        "outputs": {},
+    }
+    with _real_run(client, status_comfy):
+        wf_id = _import_workflow(client, "真实·Qwen2.1(执行错)", "image", _load(T2I))
+        job = _wait_final(client, _generate(client, wf_id, {"459:452@prompt": "猫"}).json()["job"]["id"])
+        assert job["status"] == "failed"
+        assert "ComfyUI 执行出错" in job["error"] and "UNETLoader" in job["error"]
+        assert "模型文件不存在" in job["error"]
+
+
+def test_prompt_lost_from_queue_and_history_fails(client, status_comfy):
+    status_comfy.lose_history = True
+    status_comfy.queue_mode = "missing"
+    with _real_run(client, status_comfy):
+        wf_id = _import_workflow(client, "真实·Qwen2.1(丢失)", "image", _load(T2I))
+        job = _wait_final(client, _generate(client, wf_id, {"459:452@prompt": "猫"}).json()["job"]["id"])
+        assert job["status"] == "failed"
+        assert "队列和历史里都找不到该任务" in job["error"]
+
+
+def test_running_then_finished_reports_real_phase(client, status_comfy):
+    status_comfy.queue_mode = "running"
+    status_comfy.hidden_history_polls = 3
+    with _real_run(client, status_comfy):
+        wf_id = _import_workflow(client, "真实·Qwen2.1(执行中)", "image", _load(T2I))
+        job_id = _generate(client, wf_id, {"459:452@prompt": "猫"}).json()["job"]["id"]
+        seen: set[str] = set()
+        deadline = time.time() + 20
+        while time.time() < deadline:
+            row = next(j for j in client.get("/api/playground/jobs").json() if j["id"] == job_id)
+            if row.get("phase"):
+                seen.add(row["phase"])
+            if row["status"] in ("done", "failed"):
+                break
+            time.sleep(0.1)
+        assert row["status"] == "done", row.get("error")
+        assert "comfy_running" in seen
+        assert "/queue" in status_comfy.requests
+
+
+def test_missing_model_rejection_names_the_file():
+    """Body captured from the user's ComfyUI 0.37.4 when Qwen 2.1 models are absent."""
+    import httpx
+
+    from calliope.comfyui.client import _surface_error
+
+    body = {
+        "error": {"type": "prompt_outputs_failed_validation"},
+        "node_errors": {
+            "459:451": {
+                "errors": [{
+                    "type": "value_not_in_list",
+                    "message": "Value not in list",
+                    "details": "unet_name: 'qwen_image_2.1_int8_convrot.safetensors' not in [...]",
+                    "extra_info": {
+                        "input_name": "unet_name",
+                        "received_value": "qwen_image_2.1_int8_convrot.safetensors",
+                    },
+                }],
+                "class_type": "UNETLoader",
+            }
+        },
+    }
+    msg = str(_surface_error("ComfyUI 拒绝执行该工作流", httpx.Response(400, json=body)))
+    assert "节点 459:451（UNETLoader）" in msg
+    assert "qwen_image_2.1_int8_convrot.safetensors" in msg and "模型文件未安装" in msg
+
+
+def test_dry_run_result_is_marked_placeholder(client):
+    wf_id = _import_workflow(client, "真实·Qwen2.1(dry)", "image", _load(T2I))
+    prev = settings.dry_run
+    settings.dry_run = True
+    try:
+        job = _wait_final(client, _generate(client, wf_id, {"459:452@prompt": "猫"}).json()["job"]["id"])
+    finally:
+        settings.dry_run = prev
+    assert job["status"] == "done"
+    assert job["phase"] == "dry_run"
+    assert job["comfy_prompt_id"] is None
@@ -13,6 +13,7 @@ The shell is default-OFF; every guard branch here is a security contract:
 from __future__ import annotations

 import asyncio
+import os
 import sys
 from pathlib import Path

@@ -25,6 +26,23 @@ from calliope.agent.harness.registry import ToolContext
 PYTHON = Path(sys.executable).stem  # bare name ("python") — the tool refuses paths


+@pytest.fixture(autouse=True, scope="module")
+def _interpreter_on_path():
+    """Make the bare interpreter name resolvable via PATH (HEL-619).
+
+    The guard resolves the command with ``shutil.which`` against PATH —
+    running pytest as ``path/to/.venv/bin/python -m pytest`` (or on a box
+    with no ``python`` alias) leaves the stem unresolvable and every
+    exec-path test fails for environmental reasons only. Prepending the
+    interpreter's own bin dir (restored afterwards) pins the lookup to the
+    interpreter actually running the suite, on every OS.
+    """
+    prev = os.environ.get("PATH", "")
+    os.environ["PATH"] = f"{Path(sys.executable).parent}{os.pathsep}{prev}"
+    yield
+    os.environ["PATH"] = prev
+
+
@pytest.fixture(autouse=True, scope="module")
 def _never_touch_real_db():
    """Redirect data_dir before ANY write in this module (repo test rule)."""
@@ -210,12 +228,19 @@ def test_structured_shell_approval_allows(enabled):


 def test_cwd_outside_workspace_denied(enabled):
+    """Guard denial tests use PYTHON + a structured approval card (not
+    ffprobe): the interpreter resolves on every machine, and the card
+    clears the approval gate so the LATER containment check is what fires
+    (HEL-619 — ffprobe-absent boxes used to fail these for environmental
+    reasons)."""
    registry, _ = build_harness()
+    sid = _session()
+    _answer_card(sid, "Yes, run it")
    out = asyncio.run(
        registry.execute(
-            _ctx(),
+            ToolContext(session_id=sid, project_id=None),
            "run_command",
-            {"command": "ffprobe", "cwd": str(Path(settings_data_dir_home()))},
+            {"command": PYTHON, "cwd": str(settings_data_dir_home())},
        )
    )
    assert out["reason_code"] == "guard_shell_outside_workspace"
@@ -230,11 +255,13 @@ def test_sensitive_arg_denied(enabled, tmp_path):
    registry, _ = build_harness()
    secret = tmp_path / "calliope_config.json"
    secret.write_text("{}", encoding="utf-8")
+    sid = _session()
+    _answer_card(sid, "Yes, run it")
    out = asyncio.run(
        registry.execute(
-            _ctx(),
+            ToolContext(session_id=sid, project_id=None),
            "run_command",
-            {"command": "ffprobe", "args": [str(secret)]},
+            {"command": PYTHON, "args": ["-c", "print('x')", str(secret)]},
        )
    )
    assert out["reason_code"] == "guard_shell_denied_path"
@@ -244,11 +271,13 @@ def test_db_arg_denied(enabled, tmp_path):
    registry, _ = build_harness()
    db = tmp_path / "calliope.db"
    db.write_bytes(b"")
+    sid = _session()
+    _answer_card(sid, "Yes, run it")
    out = asyncio.run(
        registry.execute(
-            _ctx(),
+            ToolContext(session_id=sid, project_id=None),
            "run_command",
-            {"command": "ffprobe", "args": [str(db)]},
+            {"command": PYTHON, "args": ["-c", "print('x')", str(db)]},
        )
    )
    assert out["reason_code"] == "guard_shell_denied_path"
@@ -256,11 +285,13 @@ def test_db_arg_denied(enabled, tmp_path):

 def test_env_file_arg_denied(enabled):
    registry, _ = build_harness()
+    sid = _session()
+    _answer_card(sid, "Yes, run it")
    out = asyncio.run(
        registry.execute(
-            _ctx(),
+            ToolContext(session_id=sid, project_id=None),
            "run_command",
-            {"command": "ffprobe", "args": ["--", ".env"]},
+            {"command": PYTHON, "args": ["-c", "print('x')", "--", ".env"]},
        )
    )
    assert out["reason_code"] == "guard_shell_denied_path"
@@ -270,11 +301,13 @@ def test_outside_absolute_arg_denied(enabled, tmp_path):
    registry, _ = build_harness()
    outside = tmp_path / "movie.mp4"
    outside.write_bytes(b"00")
+    sid = _session()
+    _answer_card(sid, "Yes, run it")
    out = asyncio.run(
        registry.execute(
-            _ctx(),
+            ToolContext(session_id=sid, project_id=None),
            "run_command",
-            {"command": "ffprobe", "args": [str(outside)]},
+            {"command": PYTHON, "args": ["-c", "print('x')", str(outside)]},
        )
    )
    assert out["reason_code"] == "guard_shell_outside_workspace"
@@ -287,16 +320,22 @@ def test_inside_asset_arg_allowed(enabled):
    registry, _ = build_harness()
    ref = settings.assets_dir / "ref.mp4"
    ref.write_bytes(b"00")
+    sid = _session()
+    _answer_card(sid, "Yes, run it")
    out = asyncio.run(
        registry.execute(
-            _ctx(),
+            ToolContext(session_id=sid, project_id=None),
            "run_command",
-            {"command": "ffprobe", "args": ["-v", "error", str(ref)]},
+            {
+                # The asset path is a real argv entry the guard must allow
+                # (and the interpreter actually reads it).
+                "command": PYTHON,
+                "args": ["-c", "import sys; print(open(sys.argv[1]).read())", str(ref)],
+            },
        )
    )
-    # Not a real mp4 — ffprobe fails, but the GUARD must not have denied it.
-    assert out.get("reason_code") is None
-    assert out.get("exit_code") != 0 or out.get("ok") is False or out["ok"] is True
+    assert out["ok"] is True, out
+    assert "00" in out["stdout"]


 def test_workspace_relative_cwd_allowed(enabled, tmp_path):
@@ -0,0 +1,220 @@
+"""Skill management surface (HEL-613): create/edit/enable/assign/delete user
+skills, version snapshots with restore, and the effective-skill rule —
+a named-agent session sees exactly: globally enabled ∩ enabled binding for
+its agent_key. Plain sessions keep the legacy behavior (global enable only)."""
+from __future__ import annotations
+
+from calliope.agent.skills_store import (
+    effective_skill_dirs,
+    skills_prompt_lines,
+)
+
+
+def _mk(client, name: str, bindings: dict | None = None, body: str = "正文 v1") -> dict:
+    payload = {
+        "description": f"{name} 描述",
+        "skill_type": "template",
+        "content": body,
+        "tags": ["a", "b"],
+    }
+    if bindings is not None:
+        payload["bindings"] = bindings
+    r = client.put(f"/api/agent/skills/{name}", json=payload)
+    assert r.status_code == 200, r.text
+    return r.json()
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Create / list
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def test_create_skill_and_admin_list(client):
+    _mk(client, "my-style-kit", bindings={"style": True, "script": False})
+    skills = client.get("/api/agent/skills?all=true").json()
+    mine = next(s for s in skills if s["dir"] == "my-style-kit")
+    assert mine["name"] == "my-style-kit"
+    assert mine["is_enabled"] is True
+    assert mine["bindings"] == {"style": True, "script": False}
+    assert mine["assigned_count"] == 1
+    assert mine["type"] == "template"
+    assert mine["version"] == "1.0.0"
+    # Non-admin list stays capped + without admin fields (composer contract).
+    plain = client.get("/api/agent/skills").json()
+    mine_plain = next(s for s in plain if s["dir"] == "my-style-kit")
+    assert "bindings" not in mine_plain
+
+
+def test_migration_seeded_builtin_bindings_for_all_agents(client):
+    """At upgrade, every pre-existing skill (the builtins) is bound to all
+    five agents so agent chats keep the out-of-the-box experience."""
+    skills = client.get("/api/agent/skills?all=true").json()
+    builtin = next(s for s in skills if s["dir"] == "h3-video-prompt-enhancer")
+    assert set(builtin["bindings"].keys()) == {
+        "script",
+        "style",
+        "storyboard",
+        "assets",
+        "shot",
+    }
+    assert builtin["assigned_count"] == 5
+
+
+def test_invalid_names_rejected(client):
+    for bad in ("../escape", "a/b", "", " ", ".hidden", "x" * 65):
+        r = client.put(f"/api/agent/skills/{bad}", json={"content": "x"})
+        assert r.status_code in (404, 422), bad
+
+
+def test_invalid_type_rejected(client):
+    r = client.put("/api/agent/skills/ok-name", json={"content": "x", "skill_type": "wild"})
+    assert r.status_code == 422
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Effective rule: global enable ∩ per-agent binding
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def test_effective_rule_for_agent_sessions(client):
+    _mk(client, "gated-skill", bindings={"style": True, "script": True})
+    assert "gated-skill" in effective_skill_dirs("style")
+    assert "gated-skill" in effective_skill_dirs("script")
+    assert "gated-skill" not in effective_skill_dirs("assets")
+    lines = skills_prompt_lines(agent_key="assets")
+    assert not any("gated-skill" in ln for ln in lines)
+    lines = skills_prompt_lines(agent_key="style")
+    assert any("gated-skill" in ln for ln in lines)
+
+
+def test_unassigned_skill_invisible_everywhere(client):
+    _mk(client, "orphan-skill", bindings={})
+    for key in ("script", "style", "storyboard", "assets", "shot"):
+        assert "orphan-skill" not in effective_skill_dirs(key)
+    # Plain sessions still see it (legacy behavior).
+    assert "orphan-skill" in effective_skill_dirs(None)
+
+
+def test_global_disable_hides_from_all_sessions(client):
+    _mk(client, "kill-switch", bindings={"style": True})
+    r = client.patch("/api/agent/skills/kill-switch", json={"is_enabled": False})
+    assert r.status_code == 200
+    assert "kill-switch" not in effective_skill_dirs("style")
+    assert "kill-switch" not in effective_skill_dirs(None)
+    r = client.patch("/api/agent/skills/kill-switch", json={"is_enabled": True})
+    assert "kill-switch" in effective_skill_dirs("style")
+
+
+def test_binding_matrix_replace(client):
+    _mk(client, "matrix-skill", bindings={"style": True})
+    r = client.put(
+        "/api/agent/skills/matrix-skill/bindings",
+        json={"bindings": {"shot": True, "style": False}},
+    )
+    assert r.status_code == 200
+    assert "matrix-skill" in effective_skill_dirs("shot")
+    assert "matrix-skill" not in effective_skill_dirs("style")
+
+
+def test_unknown_agent_key_in_bindings_rejected(client):
+    r = client.put(
+        "/api/agent/skills/some-skill/bindings",
+        json={"bindings": {"director": True}},
+    )
+    assert r.status_code == 422
+
+
+def test_read_skill_tool_gates_by_assignment(client):
+    """The read_skill tool denies skills not effective for the agent."""
+    from calliope.agent.harness.plugins.skills import t_read_skill
+    from calliope.agent.harness.registry import ToolContext
+
+    _mk(client, "gated-read", bindings={"style": True})
+    style_ctx = ToolContext(session_id=1, agent_key="style")
+    shot_ctx = ToolContext(session_id=2, agent_key="shot")
+    ok = asyncio_run(t_read_skill(style_ctx, {"name": "gated-read"}))
+    assert ok["ok"] is True
+    denied = asyncio_run(t_read_skill(shot_ctx, {"name": "gated-read"}))
+    assert denied["ok"] is False
+    assert "not assigned" in denied["error"]
+
+
+def asyncio_run(coro):
+    import asyncio
+
+    return asyncio.run(coro)
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Versions: snapshot on save, list, restore
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def test_edit_creates_snapshot_and_version_bumps(client):
+    first = _mk(client, "versioned", bindings={"script": True}, body="# v1 正文")
+    v1 = first["skill"]["version"]
+    second = _mk(client, "versioned", bindings={"script": True}, body="# v2 正文改了")
+    v2 = second["skill"]["version"]
+    assert v2 != v1  # auto-bumped when the editor leaves version empty
+    versions = client.get("/api/agent/skills/versioned/versions").json()
+    assert len(versions) == 1  # the pre-edit snapshot
+    assert "# v1 正文" in versions[0]["preview"]
+    # File now holds v2 content.
+    body = client.get(
+        "/api/agent/skills/versioned/file?path=SKILL.md"
+    ).json()["content"]
+    assert "# v2 正文改了" in body
+
+
+def test_restore_writes_snapshot_back(client):
+    _mk(client, "rollback", bindings={"script": True}, body="第一版")
+    _mk(client, "rollback", bindings={"script": True}, body="第二版")
+    versions = client.get("/api/agent/skills/rollback/versions").json()
+    old_id = versions[0]["id"]  # newest first: snapshot of 第一版
+    r = client.post(f"/api/agent/skills/rollback/versions/{old_id}/restore")
+    assert r.status_code == 200
+    body = client.get("/api/agent/skills/rollback/file?path=SKILL.md").json()["content"]
+    assert "第一版" in body
+    # The restore itself snapshotted 第二版 — undoable.
+    versions = client.get("/api/agent/skills/rollback/versions").json()
+    assert any("第二版" in v["preview"] for v in versions)
+
+
+def test_restore_unknown_version_404(client):
+    _mk(client, "nope-skill", bindings={"script": True})
+    r = client.post("/api/agent/skills/nope-skill/versions/99999/restore")
+    assert r.status_code == 404
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Delete
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def test_delete_removes_everything(client):
+    _mk(client, "doomed", bindings={"script": True}, body="拜拜")
+    r = client.delete("/api/agent/skills/doomed")
+    assert r.status_code == 200
+    skills = client.get("/api/agent/skills?all=true").json()
+    assert all(s["dir"] != "doomed" for s in skills)
+    assert client.get("/api/agent/skills/doomed/versions").json() == []
+    assert "doomed" not in effective_skill_dirs("script")
+
+
+# ─────────────────────────────────────────────────────────────────────────
+# Agents endpoint skill counts
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def test_agents_endpoint_counts_effective_skills(client):
+    _mk(client, "count-me", bindings={"style": True, "shot": True})
+    _mk(client, "count-me-disabled", bindings={"style": True})
+    client.patch("/api/agent/skills/count-me-disabled", json={"is_enabled": False})
+    agents = {a["key"]: a for a in client.get("/api/agent/agents").json()}
+    style_count = agents["style"]["skill_count"]
+    shot_count = agents["shot"]["skill_count"]
+    assert style_count >= 1 and shot_count >= 1
+    # A globally disabled skill never counts.
+    skills = client.get("/api/agent/skills?all=true").json()
+    disabled_dirs = {s["dir"] for s in skills if not s["is_enabled"]}
+    assert "count-me-disabled" in disabled_dirs
@@ -0,0 +1,398 @@
+"""独立生图/生视频 full-chain tests (HEL-612): studio window jobs run
+through the real playground → queue → ComfyUI HTTP → downloaded-output
+path against a fake ComfyUI server (real HTTP round trip), plus the
+source label, upload slot flow, retry and delete behaviours."""
+
+from __future__ import annotations
+
+import io
+import json
+import threading
+import time
+import uuid
+from contextlib import contextmanager
+from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
+from pathlib import Path
+
+import pytest
+
+from calliope.config import settings
+
+PNG_1PX = bytes.fromhex(
+    "89504e470d0a1a0a0000000d49484452000000010000000108060000001f15c489"
+    "0000000d4944415478da63f8cfc0f01f0005000105ab5e30760000000049454e44ae426082"
+)
+
+
+class _FakeComfyHandler(BaseHTTPRequestHandler):
+    """Minimal ComfyUI: /system_stats, /prompt, /history/{id}, /view, /upload/image.
+
+    History outputs are keyed by the prompt's real output node id (what
+    ComfyUI does); a known output class that is absent falls back to
+    ``server.forced_output_node`` (default "9"). Scripted tests can pin
+    ``server.forced_output_node`` or drop entries via ``server.drop_outputs``.
+    """
+
+    server_version = "FakeComfy/1.0"
+    KNOWN_OUTPUT_CLASSES = {
+        "SaveImage", "PreviewImage", "SaveImageAdvanced", "SaveImageWebsocket",
+        "SaveVideo", "VideoOutput", "VHS_VideoCombine", "AnimateDiffCombine",
+    }
+
+    def do_GET(self):
+        self.server.requests.append(self.path)
+        if self.path == "/system_stats":
+            self._json(
+                200,
+                {
+                    "system": {"comfyui_version": "0.3.72-fake", "os": "linux"},
+                    "devices": [{"name": "FakeGPU", "type": "cuda"}],
+                },
+            )
+            return
+        if self.path == "/object_info":
+            self._json(200, dict(getattr(self.server, "object_info", None) or {}))
+            return
+        if self.path.startswith("/history/"):
+            pid = self.path[len("/history/") :]
+            entry = self.server.history.get(pid)
+            if entry is None:
+                self._json(200, {})
+                return
+            self._json(200, {pid: entry})
+            return
+        if self.path.startswith("/view"):
+            self._raw(200, PNG_1PX, "image/png")
+            return
+        self._json(404, {"error": "not found"})
+
+    def do_POST(self):
+        length = int(self.headers.get("Content-Length") or 0)
+        body = self.rfile.read(length) if length else b""
+        self.server.requests.append(self.path)
+        if self.path == "/prompt":
+            if self.server.fail_prompt:
+                self._json(500, {"error": "boom", "node_errors": []})
+                return
+            prompt_id = uuid.uuid4().hex
+            outputs_key = self.server.outputs_key
+            out_entry = {
+                outputs_key: [
+                    {"filename": self.server.out_name, "subfolder": "", "type": "output"}
+                ]
+            }
+            outputs = (
+                {} if getattr(self.server, "drop_outputs", False) else
+                {self._output_node(body): out_entry}
+            )
+            self.server.history[prompt_id] = {
+                "status": {"status_str": "success", "completed": True},
+                "outputs": outputs,
+                "prompt": [],
+            }
+            self.server.prompts.append(json.loads(body.decode("utf-8") or "{}"))
+            self._json(200, {"prompt_id": prompt_id})
+            return
+        if self.path == "/upload/image":
+            self.server.uploads.append(body)
+            self._json(200, {"name": "uploaded-input.png", "subfolder": "calliope"})
+            return
+        self._json(404, {"error": "not found"})
+
+    def _output_node(self, body: bytes) -> str:
+        forced = getattr(self.server, "forced_output_node", None)
+        if forced:
+            return forced
+        try:
+            prompt = json.loads(body.decode("utf-8") or "{}").get("prompt") or {}
+        except json.JSONDecodeError:
+            prompt = {}
+        for nid, node in prompt.items():
+            if isinstance(node, dict) and node.get("class_type") in self.KNOWN_OUTPUT_CLASSES:
+                return str(nid)
+        return "9"
+
+    def _json(self, status: int, payload: dict) -> None:
+        data = json.dumps(payload).encode("utf-8")
+        self.send_response(status)
+        self.send_header("Content-Type", "application/json")
+        self.send_header("Content-Length", str(len(data)))
+        self.end_headers()
+        self.wfile.write(data)
+
+    def _raw(self, status: int, data: bytes, ctype: str) -> None:
+        self.send_response(status)
+        self.send_header("Content-Type", ctype)
+        self.send_header("Content-Length", str(len(data)))
+        self.end_headers()
+        self.wfile.write(data)
+
+    def log_message(self, format, *args):
+        pass
+
+
+@pytest.fixture
+def fake_comfy():
+    server = ThreadingHTTPServer(("127.0.0.1", 0), _FakeComfyHandler)
+    server.requests = []
+    server.prompts = []
+    server.uploads = []
+    server.history = {}
+    server.fail_prompt = False
+    server.out_name = "out-1.png"
+    server.outputs_key = "images"
+    server.forced_output_node = None
+    server.object_info = {}
+    server.drop_outputs = False
+    thread = threading.Thread(target=server.serve_forever, daemon=True)
+    thread.start()
+    try:
+        yield server
+    finally:
+        server.shutdown()
+        server.server_close()
+
+
+def _url(server) -> str:
+    return f"http://127.0.0.1:{server.server_address[1]}"
+
+
+@contextmanager
+def _real_run(client, server, endpoint_name="测试桩连接"):
+    """One registered connection pointing at the fake server; dry_run off."""
+    prev_dry = settings.dry_run
+    prev_eps = [dict(ep) for ep in (settings.comfyui_endpoints or [])]
+    prev_active = settings.comfyui_active_id
+    settings.dry_run = False
+    r = client.post(
+        "/api/comfyui/endpoints",
+        json={"name": endpoint_name, "base_url": _url(server), "auth_type": "none"},
+    )
+    assert r.status_code == 200, r.text
+    endpoints = r.json()["endpoints"]
+    # keep only the new endpoint for deterministic snapshot resolution
+    settings.comfyui_endpoints = [dict(ep) for ep in endpoints if ep["base_url"] == _url(server)]
+    settings.comfyui_active_id = settings.comfyui_endpoints[0]["id"]
+    settings.apply_active_comfyui()
+    try:
+        yield settings.comfyui_endpoints[0]
+    finally:
+        settings.dry_run = prev_dry
+        settings.comfyui_endpoints = prev_eps
+        settings.comfyui_active_id = prev_active
+        settings.apply_active_comfyui()
+
+
+IMAGE_WORKFLOW = {
+    "1": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {"text": "默认提示词"},
+        "_meta": {"title": "(Input:prompt) 正向提示词"},
+    },
+    "2": {
+        "class_type": "PrimitiveInt",
+        "inputs": {"value": 42},
+        "_meta": {"title": "(Input:seed) 种子"},
+    },
+    "9": {
+        "class_type": "SaveImage",
+        "inputs": {"images": "x"},
+        "_meta": {"title": "(Output:image) 图片输出"},
+    },
+}
+
+
+def _video_workflow(first_last: bool) -> dict:
+    wf = {
+        "1": {
+            "class_type": "CLIPTextEncode",
+            "inputs": {"text": "镜头缓慢推近"},
+            "_meta": {"title": "(Input:prompt) 正向提示词"},
+        },
+        "2": {
+            "class_type": "PrimitiveFloat",
+            "inputs": {"value": 6},
+            "_meta": {"title": "(Input:duration) 时长"},
+        },
+    }
+    if first_last:
+        wf["3"] = {
+            "class_type": "LoadImage",
+            "inputs": {"image": ""},
+            "_meta": {"title": "(Input:image) 首帧"},
+        }
+        wf["4"] = {
+            "class_type": "LoadImage",
+            "inputs": {"image": ""},
+            "_meta": {"title": "(Input:image) 尾帧"},
+        }
+    wf["9"] = {
+        "class_type": "VHS_VideoCombine",
+        "inputs": {},
+        "_meta": {"title": "(Output:video) 视频输出"},
+    }
+    return wf
+
+
+def _import_workflow(client, name: str, kind: str, workflow: dict) -> int:
+    r = client.post(
+        "/api/workflows",
+        json={"name": name, "kind": kind, "workflow_json": workflow},
+    )
+    assert r.status_code == 200, r.text
+    return r.json()["id"]
+
+
+def _wait_done(client, job_id: int, timeout: float = 25.0) -> dict:
+    deadline = time.time() + timeout
+    while time.time() < deadline:
+        jobs = client.get("/api/playground/jobs").json()
+        for job in jobs:
+            if job["id"] == job_id:
+                if job["status"] in ("done", "failed"):
+                    return job
+        time.sleep(0.4)
+    pytest.fail(f"job {job_id} did not finish in {timeout}s")
+
+
+def test_studio_image_full_chain(client, fake_comfy):
+    """独立生图: upload → generate(source=studio-image) → worker → output file."""
+    with _real_run(client, fake_comfy):
+        wf_id = _import_workflow(client, "假·文生图", "image", IMAGE_WORKFLOW)
+        r = client.post(
+            "/api/playground/generate",
+            json={
+                "workflow_id": wf_id,
+                "input_values": {"1": "霓虹灯下的雨夜街道", "2": 7},
+                "source": "studio-image",
+                "endpoint_id": settings.comfyui_active_id,
+            },
+        )
+        assert r.status_code == 200, r.text
+        job_id = r.json()["job"]["id"]
+
+        job = _wait_done(client, job_id)
+        assert job["status"] == "done", job.get("error")
+        assert job["kind"] == "image"
+        assert job["payload"]["source"] == "studio-image"
+
+        # endpoint snapshot: id/name/url only, never a token
+        snap = job["payload"]["endpoint"]
+        assert snap["id"] == settings.comfyui_active_id
+        assert snap["base_url"] == _url(fake_comfy)
+        assert "token" not in json.dumps(snap)
+
+        # output downloaded into assets and served via /api/file
+        assert len(job["output_paths"]) == 1
+        out = Path(job["output_paths"][0])
+        assert out.exists() and out.read_bytes() == PNG_1PX
+        r = client.get("/api/file", params={"path": str(out)})
+        assert r.status_code == 200
+
+        # the workflow actually reached the fake ComfyUI /prompt
+        assert any(p.startswith("/prompt") for p in map(str, fake_comfy.requests))
+        queued = fake_comfy.prompts[-1]["prompt"]
+        assert queued["1"]["inputs"]["text"] == "霓虹灯下的雨夜街道"
+        assert queued["2"]["inputs"]["value"] == 7
+
+
+def test_studio_video_full_chain_with_frame_uploads(client, fake_comfy):
+    """独立生视频: first/last frame slots upload to ComfyUI before /prompt."""
+    fake_comfy.outputs_key = "videos"
+    fake_comfy.out_name = "out-clip.mp4"
+    with _real_run(client, fake_comfy):
+        wf_id = _import_workflow(client, "假·首尾帧生视频", "video", _video_workflow(True))
+
+        # two upload-slot files via the playground upload API
+        paths = []
+        for _ in range(2):
+            r = client.post(
+                "/api/playground/uploads",
+                files={"file": ("frame.png", io.BytesIO(PNG_1PX), "image/png")},
+            )
+            assert r.status_code == 200, r.text
+            paths.append(r.json()["path"])
+
+        r = client.post(
+            "/api/playground/generate",
+            json={
+                "workflow_id": wf_id,
+                "input_values": {"1": "海上日出延时", "2": 6, "3": paths[0], "4": paths[1]},
+                "source": "studio-video",
+                "endpoint_id": settings.comfyui_active_id,
+            },
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "done", job.get("error")
+        assert job["payload"]["source"] == "studio-video"
+        assert job["output_paths"][0].endswith(".mp4")
+
+        # both frames were uploaded to ComfyUI's /upload/image (media slots)
+        assert len(fake_comfy.uploads) == 2
+        queued = fake_comfy.prompts[-1]["prompt"]
+        assert queued["3"]["inputs"]["image"] == "calliope/uploaded-input.png"
+        assert queued["4"]["inputs"]["image"] == "calliope/uploaded-input.png"
+
+
+def test_studio_retry_after_failure(client, fake_comfy):
+    """失败原因进历史 → retry re-queues → success."""
+    fake_comfy.fail_prompt = True
+    with _real_run(client, fake_comfy):
+        wf_id = _import_workflow(client, "假·文生图(重试)", "image", IMAGE_WORKFLOW)
+        r = client.post(
+            "/api/playground/generate",
+            json={"workflow_id": wf_id, "input_values": {"1": "x"}, "source": "studio-image"},
+        )
+        job_id = r.json()["job"]["id"]
+        job = _wait_done(client, job_id)
+        assert job["status"] == "failed"
+        assert job["error"]
+
+        fake_comfy.fail_prompt = False
+        r = client.post(f"/api/jobs/{job_id}/retry")
+        assert r.status_code == 200, r.text
+        job = _wait_done(client, job_id)
+        assert job["status"] == "done"
+        assert job["retry_count"] >= 1
+
+
+def test_studio_delete_removes_outputs(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_id = _import_workflow(client, "假·文生图(删除)", "image", IMAGE_WORKFLOW)
+        r = client.post(
+            "/api/playground/generate",
+            json={"workflow_id": wf_id, "input_values": {"1": "y"}, "source": "studio-image"},
+        )
+        job_id = r.json()["job"]["id"]
+        job = _wait_done(client, job_id)
+        assert job["status"] == "done"
+        out = Path(job["output_paths"][0])
+        assert out.exists()
+
+        r = client.delete(f"/api/playground/jobs/{job_id}")
+        assert r.status_code == 200, r.text
+        assert not out.exists()
+        jobs = client.get("/api/playground/jobs").json()
+        assert all(j["id"] != job_id for j in jobs)
+
+
+def test_studio_jobs_listed_on_tasks_api(client, fake_comfy):
+    """/api/jobs (生成任务页) carries both studio kinds with payload.source."""
+    with _real_run(client, fake_comfy):
+        img_wf = _import_workflow(client, "假·文生图A", "image", IMAGE_WORKFLOW)
+        fake_comfy.outputs_key = "videos"
+        fake_comfy.out_name = "v.mp4"
+        vid_wf = _import_workflow(client, "假·生视频A", "video", _video_workflow(False))
+        for wf_id, source in ((img_wf, "studio-image"), (vid_wf, "studio-video")):
+            r = client.post(
+                "/api/playground/generate",
+                json={"workflow_id": wf_id, "input_values": {"1": "z"}, "source": source},
+            )
+            assert r.status_code == 200, r.text
+            _wait_done(client, r.json()["job"]["id"])
+
+        jobs = client.get("/api/jobs").json()
+        sources = {j["payload"].get("source"): j["kind"] for j in jobs}
+        assert sources.get("studio-image") == "image"
+        assert sources.get("studio-video") == "video"
@@ -0,0 +1,449 @@
+"""HEL-681: UI→API converter unit tests + ground-truth cross-checks.
+
+The synthetic graphs pin the structural semantics (reroute / bypass / mute /
+subgraph expansion / Set-Get variables / control_after_generate pairing);
+the corpus section runs the real 146-file library and the repo's API exports.
+"""
+
+from __future__ import annotations
+
+import copy
+import json
+from pathlib import Path
+
+import pytest
+
+from calliope.comfyui.lint import workflow_warnings
+from calliope.comfyui.ui_convert import convert_ui_workflow
+
+EXAMPLES = Path(__file__).resolve().parents[2] / "example_ComfyUI_workflows"
+
+
+def _node(nid, ntype, *, mode=0, inputs=None, outputs=None, wv=None, wvn=None, title=None):
+    node = {"id": nid, "type": ntype, "mode": mode, "inputs": inputs or [], "order": 0}
+    if outputs is not None:
+        node["outputs"] = outputs
+    if wv is not None:
+        node["widgets_values"] = wv
+    if wvn is not None:
+        node["widgets_values_named"] = wvn
+    if title:
+        node["title"] = title
+    return node
+
+
+def _in_slot(name, type_, link=None, widget=None):
+    entry = {"name": name, "type": type_, "link": link}
+    if widget:
+        entry["widget"] = {"name": widget}
+    return entry
+
+
+def _out(name, type_, links=None):
+    return {"name": name, "type": type_, "links": links or [], "slot_index": 0}
+
+
+def _base_graph():
+    """text2image: loader → prompts/latent → KSampler → VAE → SaveImage."""
+    nodes = [
+        _node(
+            1,
+            "CheckpointLoaderSimple",
+            outputs=[_out("MODEL", "MODEL"), _out("CLIP", "CLIP"), _out("VAE", "VAE")],
+            wv=["model.safetensors"],
+            inputs=[_in_slot("ckpt_name", "COMBO", widget="ckpt_name")],
+        ),
+        _node(
+            2,
+            "CLIPTextEncode",
+            inputs=[
+                _in_slot("clip", "CLIP", link=1),
+                _in_slot("text", "STRING", widget="text"),
+            ],
+            outputs=[_out("CONDITIONING", "CONDITIONING")],
+            wv=["a cat"],
+        ),
+        _node(
+            3,
+            "CLIPTextEncode",
+            inputs=[
+                _in_slot("clip", "CLIP", link=2),
+                _in_slot("text", "STRING", widget="text"),
+            ],
+            outputs=[_out("CONDITIONING", "CONDITIONING")],
+            wv=["bad quality"],
+        ),
+        _node(
+            4,
+            "EmptyLatentImage",
+            inputs=[
+                _in_slot("width", "INT", widget="width"),
+                _in_slot("height", "INT", widget="height"),
+                _in_slot("batch_size", "INT", widget="batch_size"),
+            ],
+            outputs=[_out("LATENT", "LATENT")],
+            wv=[512, 512, 1],
+        ),
+        _node(
+            5,
+            "KSampler",
+            inputs=[
+                _in_slot("model", "MODEL", link=3),
+                _in_slot("positive", "CONDITIONING", link=4),
+                _in_slot("negative", "CONDITIONING", link=5),
+                _in_slot("latent_image", "LATENT", link=6),
+                _in_slot("seed", "INT", widget="seed"),
+                _in_slot("steps", "INT", widget="steps"),
+                _in_slot("cfg", "FLOAT", widget="cfg"),
+                _in_slot("sampler_name", "COMBO", widget="sampler_name"),
+                _in_slot("scheduler", "COMBO", widget="scheduler"),
+                _in_slot("denoise", "FLOAT", widget="denoise"),
+            ],
+            outputs=[_out("LATENT", "LATENT")],
+            # seed 42 + control "fixed" rides together, then five widgets
+            wv=[42, "fixed", 20, 7, "euler", "normal", 1.0],
+        ),
+        _node(
+            6,
+            "VAEDecode",
+            inputs=[
+                _in_slot("samples", "LATENT", link=7),
+                _in_slot("vae", "VAE", link=8),
+            ],
+            outputs=[_out("IMAGE", "IMAGE")],
+        ),
+        _node(
+            7,
+            "SaveImage",
+            inputs=[
+                _in_slot("images", "IMAGE", link=9),
+                _in_slot("filename_prefix", "STRING", widget="filename_prefix"),
+            ],
+            wv=["test"],
+        ),
+    ]
+    links = [
+        [1, 1, 1, 2, 0, "CLIP"],
+        [2, 1, 1, 3, 0, "CLIP"],
+        [3, 1, 0, 5, 0, "MODEL"],
+        [4, 2, 0, 5, 1, "CONDITIONING"],
+        [5, 3, 0, 5, 2, "CONDITIONING"],
+        [6, 4, 0, 5, 3, "LATENT"],
+        [7, 5, 0, 6, 0, "LATENT"],
+        [8, 1, 2, 6, 1, "VAE"],
+        [9, 6, 0, 7, 0, "IMAGE"],
+    ]
+    return {"nodes": nodes, "links": links, "last_node_id": 7, "last_link_id": 9}
+
+
+def _convert(graph):
+    return convert_ui_workflow(graph)
+
+
+def test_clean_conversion_maps_everything():
+    result = _convert(_base_graph())
+    assert result.status == "ok"
+    assert result.needs_confirmation is False
+    wf = result.workflow
+    assert set(wf) == {"1", "2", "3", "4", "5", "6", "7"}
+    ks = wf["5"]
+    assert ks["class_type"] == "KSampler"
+    assert ks["inputs"]["seed"] == 42  # control_after_generate consumed silently
+    assert ks["inputs"]["steps"] == 20
+    assert ks["inputs"]["denoise"] == 1.0
+    assert ks["inputs"]["model"] == ["1", 0]
+    assert ks["inputs"]["latent_image"] == ["4", 0]
+    # lint on the converted graph must be error-free
+    assert not [w for w in workflow_warnings(wf) if w["level"] == "error"]
+
+
+def test_upload_button_widgets_are_consumed_but_never_emitted():
+    graph = _base_graph()
+    load = _node(
+        8,
+        "LoadImage",
+        inputs=[
+            _in_slot("image", "COMBO", widget="image"),
+            _in_slot("upload", "IMAGEUPLOAD", widget="upload"),
+        ],
+        outputs=[_out("IMAGE", "IMAGE")],
+        wv=["sample.png", "image"],
+    )
+    save = _node(
+        9,
+        "PreviewImage",
+        inputs=[
+            _in_slot("images", "IMAGE", link=20),
+            _in_slot("filename_prefix", "STRING", widget="filename_prefix"),
+        ],
+        wv=["preview"],
+    )
+    graph["nodes"] += [load, save]
+    graph["links"].append([20, 8, 0, 9, 0, "IMAGE"])
+    result = _convert(graph)
+    assert result.workflow["8"]["inputs"] == {"image": "sample.png"}
+
+
+def test_reroute_pass_through():
+    graph = _base_graph()
+    reroute = _node(8, "Reroute", inputs=[_in_slot("(in)", "*", link=9)])
+    graph["nodes"].append(reroute)
+    # SaveImage now fed by the reroute instead of VAEDecode directly
+    graph["nodes"][6]["inputs"][0]["link"] = 10
+    graph["links"].append([10, 8, 0, 7, 0, "IMAGE"])
+    result = _convert(graph)
+    assert result.workflow["7"]["inputs"]["images"] == ["6", 0]
+    assert "8" not in result.workflow
+
+
+def test_bypass_pass_through_and_mute_drop():
+    graph = _base_graph()
+    # bypass the KSampler: VAEDecode.samples must fall back to the latent
+    graph["nodes"][4]["mode"] = 4
+    result = _convert(graph)
+    assert result.workflow["6"]["inputs"]["samples"] == ["4", 0]
+    # mute the negative prompt: the link input is dropped with a warning
+    graph = _base_graph()
+    graph["nodes"][2]["mode"] = 2
+    result = _convert(graph)
+    assert "negative" not in result.workflow["5"]["inputs"]
+    assert any(i.code == "muted_input_dropped" for i in result.issues)
+
+
+def test_widget_entry_with_muted_upstream_falls_back_to_value():
+    graph = _base_graph()
+    # feed seed from a muted PrimitiveInt via a converted widget input
+    prim = _node(
+        9,
+        "PrimitiveInt",
+        mode=2,
+        inputs=[_in_slot("value", "INT", widget="value"), _in_slot("control", "COMBO", widget="control")],
+        wv=[7],
+    )
+    graph["nodes"].append(prim)
+    graph["nodes"][4]["inputs"][4]["link"] = 11  # seed ← primitive
+    graph["links"].append([11, 9, 0, 5, 4, "INT"])
+    result = _convert(graph)
+    assert result.workflow["5"]["inputs"]["seed"] == 42
+
+
+def test_subgraph_expansion_and_boundary_wiring():
+    graph = _base_graph()
+    # pack the EmptyLatentImage into a subgraph exposing width/height widgets
+    del graph["nodes"][3]
+    graph["nodes"] = [n for n in graph["nodes"] if n["id"] != 4]
+    sub_id = "aaaa-bbbb-cccc-dddd-eeee"
+    packed = _node(
+        20,
+        sub_id,
+        inputs=[
+            _in_slot("width", "INT", widget="width"),
+            _in_slot("height", "INT", widget="height"),
+        ],
+        outputs=[_out("LATENT", "LATENT")],
+        wv=[640, 384],
+    )
+    graph["nodes"].append(packed)
+    # KSampler latent_image ← packed output
+    graph["links"] = [l for l in graph["links"] if l[0] != 6]
+    graph["links"].append([6, 20, 0, 5, 3, "LATENT"])
+    graph["definitions"] = {
+        "subgraphs": [
+            {
+                "id": sub_id,
+                "name": "Latent",
+                "inputs": [
+                    {"name": "width", "type": "INT"},
+                    {"name": "height", "type": "INT"},
+                ],
+                "outputs": [{"name": "LATENT", "type": "LATENT"}],
+                "inputNode": {"id": -10},
+                "outputNode": {"id": -20},
+                "nodes": [
+                    _node(
+                        5,
+                        "EmptyLatentImage",
+                        inputs=[
+                            _in_slot("width", "INT", widget="width", link=101),
+                            _in_slot("height", "INT", widget="height", link=102),
+                            _in_slot("batch_size", "INT", widget="batch_size"),
+                        ],
+                        outputs=[_out("LATENT", "LATENT")],
+                        wv=[512, 512, 1],
+                    ),
+                ],
+                "links": [
+                    {"id": 101, "origin_id": -10, "origin_slot": 0, "target_id": 5, "target_slot": 0, "type": "INT"},
+                    {"id": 102, "origin_id": -10, "origin_slot": 1, "target_id": 5, "target_slot": 1, "type": "INT"},
+                    {"id": 103, "origin_id": 5, "origin_slot": 0, "target_id": -20, "target_slot": 0, "type": "LATENT"},
+                ],
+            }
+        ]
+    }
+    result = _convert(graph)
+    wf = result.workflow
+    assert "20:5" in wf  # qualified packed:inner id, ComfyUI's own scheme
+    inner = wf["20:5"]
+    assert inner["class_type"] == "EmptyLatentImage"
+    # exposed widget values from the packed instance, not the inner defaults
+    assert inner["inputs"]["width"] == 640
+    assert inner["inputs"]["height"] == 384
+    assert inner["inputs"]["batch_size"] == 1
+    assert wf["5"]["inputs"]["latent_image"] == ["20:5", 0]
+    # now wire the packed width slot from outside: boundary becomes a link
+    res_node = _node(
+        21,
+        "ResolutionSelector",
+        inputs=[_in_slot("aspect_ratio", "COMBO", widget="aspect_ratio")],
+        outputs=[_out("width", "INT"), _out("height", "INT")],
+        wv=["1:1"],
+    )
+    graph["nodes"].append(res_node)
+    graph["nodes"][-2]["inputs"][0]["link"] = 12  # packed width ← selector
+    graph["links"].append([12, 21, 0, 20, 0, "INT"])
+    wf2 = _convert(graph).workflow
+    assert wf2["20:5"]["inputs"]["width"] == ["21", 0]
+    assert wf2["20:5"]["inputs"]["height"] == 384
+
+
+def test_set_get_variables_resolve_to_captured_source():
+    graph = _base_graph()
+    setter = _node(8, "SetNode", inputs=[_in_slot("*", "*", link=8)], wv=["the_vae"])
+    getter = _node(9, "GetNode", wv=["the_vae"], outputs=[_out("VAE", "VAE")])
+    graph["nodes"] += [setter, getter]
+    # VAEDecode.vae now fed via the variable
+    graph["nodes"][5]["inputs"][1]["link"] = 13
+    graph["links"] = [l for l in graph["links"] if l[0] != 8]
+    graph["links"] += [
+        [8, 1, 2, 8, 0, "VAE"],
+        [13, 9, 0, 6, 1, "VAE"],
+    ]
+    result = _convert(graph)
+    assert "8" not in result.workflow and "9" not in result.workflow
+    assert result.workflow["6"]["inputs"]["vae"] == ["1", 2]
+
+
+def test_unknown_widget_order_lands_in_needs_confirmation():
+    graph = _base_graph()
+    # an old-frontend node: positional widgets, no widget markers, no registry
+    graph["nodes"].append(
+        _node(10, "MysteryCustomNode", inputs=[], outputs=[_out("IMAGE", "IMAGE")], wv=[1, 2, 3])
+    )
+    save = _node(
+        11,
+        "PreviewImage",
+        inputs=[_in_slot("images", "IMAGE", link=30)],
+        wv=["preview"],
+    )
+    graph["nodes"].append(save)
+    graph["links"].append([30, 10, 0, 11, 0, "IMAGE"])
+    result = _convert(graph)
+    assert result.needs_confirmation is True
+    assert any(i.code == "widget_unmapped" for i in result.issues)
+    # the node is still converted structurally — the report carries the doubt
+    assert "10" in result.workflow
+
+
+def test_not_ui_format_fails_fast():
+    result = convert_ui_workflow({"3": {"class_type": "SaveImage", "inputs": {}}})
+    assert result.status == "fail"
+    assert result.workflow is None
+
+
+# ---------------------------------------------------------------------------
+# Real corpus: the 146 UI files + ground-truth API cross-checks (对拍).
+# ---------------------------------------------------------------------------
+
+pytestmark_convert = pytest.mark.skipif(
+    not EXAMPLES.is_dir(), reason="example_ComfyUI_workflows not checked out"
+)
+
+
+@pytest.mark.skipif(not EXAMPLES.is_dir(), reason="example library missing")
+def test_corpus_146_files_all_convert():
+    ui_files = [
+        p
+        for p in sorted(EXAMPLES.rglob("*.json"))
+        if isinstance(json.loads(p.read_text(encoding="utf-8")), dict)
+        and isinstance(json.loads(p.read_text(encoding="utf-8")).get("nodes"), list)
+    ]
+    assert len(ui_files) == 146
+    statuses = {"ok": 0, "warn": 0, "fail": 0}
+    needs_confirmation = 0
+    for path in ui_files:
+        data = json.loads(path.read_text(encoding="utf-8"))
+        result = convert_ui_workflow(data)
+        statuses[result.status] += 1
+        needs_confirmation += result.needs_confirmation
+        assert result.workflow, f"{path.name} produced no workflow"
+        # structural sanity: no dangling links in any conversion
+        nodes = result.workflow
+        for nid, node in nodes.items():
+            for name, val in node.get("inputs", {}).items():
+                if isinstance(val, list):
+                    assert str(val[0]) in nodes, f"{path.name}: {nid}.{name} dangles"
+    assert statuses["fail"] == 0
+    assert statuses["ok"] + statuses["warn"] == 146
+    # files whose widget order cannot be trusted are flagged, never hidden
+    assert 0 < needs_confirmation < 10
+
+
+@pytest.mark.skipif(not EXAMPLES.is_dir(), reason="example library missing")
+def test_cross_check_against_ground_truth_exports():
+    """The H3 t2v UI export converts to the same node classes the author's
+    own API export carries; shared classes agree on scalar input names."""
+    ui = json.loads(
+        (EXAMPLES / "4-视频生成/Minimax-h3/minimax_h3_t2v_文生视频.json").read_text(encoding="utf-8")
+    )
+    api = json.loads(
+        (EXAMPLES / "minimax_h3-Turbo_Text2Video_20260813_API.json").read_text(encoding="utf-8")
+    )
+    result = convert_ui_workflow(ui)
+    assert result.status in ("ok", "warn")
+    converted = result.workflow
+    api_classes = {n["class_type"] for n in api.values()}
+    # Every scalar name the conversion emits for a shared class must be an
+    # input name the author's own export knows — wiring may differ between
+    # versions (a muted branch falls back to its widget value), but the NAME
+    # mapping must never invent or swap inputs.
+    for cls in api_classes & {n["class_type"] for n in converted.values()}:
+        api_names = {
+            key
+            for n in api.values()
+            if n["class_type"] == cls
+            for key in n.get("inputs", {})
+        }
+        conv_names = {
+            key
+            for n in converted.values()
+            if n["class_type"] == cls
+            for key, v in n.get("inputs", {}).items()
+            if not isinstance(v, list)
+        }
+        assert conv_names <= api_names, f"class {cls} invents inputs: {conv_names - api_names}"
+
+
+@pytest.mark.skipif(not EXAMPLES.is_dir(), reason="example library missing")
+def test_packed_krea2_conversion_shape_matches_export_scheme():
+    """The krea2 turbo file (packed subgraph) converts ok, expands inner nodes
+    under `<packed>:<inner>` ids and maps the sampler widgets exactly — the
+    same scheme the author's own Krea2 API export uses (ids like "171:153")."""
+    ui = json.loads(
+        (EXAMPLES / "3-图像生成/krea2/krea2_turbo_文生图.json").read_text(encoding="utf-8")
+    )
+    api = json.loads(
+        (EXAMPLES / "Krea2_t2i_20260818_API.json").read_text(encoding="utf-8")
+    )
+    result = convert_ui_workflow(ui)
+    assert result.status == "ok"
+    assert any(":" in nid for nid in result.workflow)  # expanded subgraph nodes
+    assert any("171:" in nid for nid in api)  # ground truth uses the same scheme
+    ks = [
+        n
+        for n in result.workflow.values()
+        if n["class_type"] == "KSampler" and not isinstance(n["inputs"].get("seed"), list)
+    ]
+    assert ks, "inner KSampler with widget-mapped seed expected"
+    assert {"seed", "steps", "cfg", "sampler_name", "scheduler", "denoise"} <= set(
+        ks[0]["inputs"]
+    )
@@ -0,0 +1,371 @@
+"""HEL-638: unknown custom output nodes close the loop — no name-based
+auto-typing, feature-less sinks become mappable candidates, a usage choice
+alone never bypasses the output designation, and generation harvests (and
+checks) exactly the nodes the user mapped.
+
+Two brand-new class names drive the cases:
+
+* ``NebulaGlaxVideoVault`` — screams "video" in its name and carries a
+  filename_prefix; before HEL-638 the fuzzy name match auto-typed it video
+  and enabled the workflow.
+* ``QuarkMuffinDisplay`` — no save widget, no media link name; before
+  HEL-638 such a graph only reported ``no_output`` with no way to map.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from calliope.config import settings
+from calliope.db import get_db, migrate_db
+from tests.test_studio_generation import _real_run, _wait_done
+
+FIXTURES = Path(__file__).parent / "fixtures" / "comfy_native"
+
+
+def _vault_workflow() -> dict:
+    return {
+        "1": {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "p"}},
+        "7": {
+            "class_type": "GlaxSamplerNode",
+            "inputs": {"prompt": ["1", 0], "length": 121},
+        },
+        "12": {
+            "class_type": "NebulaGlaxVideoVault",
+            "inputs": {"filename_prefix": "anim", "frames": ["7", 0]},
+        },
+    }
+
+
+def _muffin_workflow() -> dict:
+    return {
+        "1": {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "p"}},
+        "7": {
+            "class_type": "GlaxSamplerNode",
+            "inputs": {"prompt": ["1", 0], "length": 121},
+        },
+        "15": {"class_type": "QuarkMuffinDisplay", "inputs": {"payload": ["7", 0]}},
+    }
+
+
+def _analyze(client, wf: dict) -> dict:
+    r = client.post("/api/workflows/analyze", json={"workflow_json": wf})
+    assert r.status_code == 200, r.text
+    return r.json()
+
+
+# ---------------------------------------------------------------------------
+# 1. Unknown outputs stay pending — names never decide (gap 1)
+# ---------------------------------------------------------------------------
+
+
+def test_video_semantic_unknown_node_is_never_auto_typed(client):
+    body = _analyze(client, _vault_workflow())
+    entry = next(o for o in body["usage_evidence"]["outputs"] if o["nodeId"] == "12")
+    assert entry["evidence"] == "unknown_node"
+    assert entry["kind"] is None  # the user picks the media type
+    assert entry["suggested_kind"] == "video"  # only a form default
+    assert body["needs_mapping"] is True
+    assert body["usage"] is None and body["usage_ambiguous"] is True
+    assert "指定实际输出节点" in body["usage_problem"]
+    codes = {(w["level"], w["code"]) for w in body["warnings"]}
+    assert ("warning", "unknown_output_node") in codes
+    assert ("error", "no_output") not in codes
+
+
+def test_choosing_a_usage_alone_does_not_bypass_output_mapping(client):
+    """create/PATCH with a usage but no output map keeps the row disabled."""
+    r = client.post(
+        "/api/workflows",
+        json={"name": "未知·视频语义", "workflow_json": _vault_workflow(),
+              "usage": "text2video", "usage_source": "user"},
+    )
+    assert r.status_code == 200, r.text
+    wf = r.json()
+    assert wf["usage"] == "text2video" and wf["usage_source"] == "user"
+    assert wf["is_enabled"] is False  # usage set, outputs still unconfirmed
+    assert wf["needs_mapping"] is True and not wf["output_map"]
+
+    gen = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf["id"], "input_values": {"1": "x"}},
+    )
+    assert gen.status_code == 400
+
+    # forcing the switch on is refused with the mapping reason
+    r = client.patch(f"/api/workflows/{wf['id']}", json={"is_enabled": True})
+    assert r.status_code == 400
+    assert "指定" in r.json()["detail"] and "输出节点" in r.json()["detail"]
+
+
+# ---------------------------------------------------------------------------
+# 2. Feature-less unknown sinks become mappable candidates (gap 2)
+# ---------------------------------------------------------------------------
+
+
+def test_featureless_unknown_node_is_a_candidate_not_a_hard_error(client):
+    body = _analyze(client, _muffin_workflow())
+    entry = next(o for o in body["usage_evidence"]["outputs"] if o["nodeId"] == "15")
+    assert entry["evidence"] == "unknown_node" and entry["kind"] is None
+    assert body["needs_mapping"] is True
+    codes = {(w["level"], w["code"]) for w in body["warnings"]}
+    assert ("warning", "unknown_output_node") in codes
+    assert ("error", "no_output") not in codes
+
+
+def test_truly_outputless_graph_still_reports_the_chinese_error(client):
+    wf = {
+        "1": {"class_type": "CLIPTextEncode", "inputs": {"text": "p"}},
+        "2": {"class_type": "VAEDecode", "inputs": {"samples": ["1", 0]}},
+    }
+    body = _analyze(client, wf)
+    assert body["usage"] is None and body["needs_mapping"] is False
+    assert "未在图中找到输出节点" in body["usage_problem"]
+
+
+# ---------------------------------------------------------------------------
+# 3. Manual mapping → enable → scoped generation (fake ComfyUI round trip)
+# ---------------------------------------------------------------------------
+
+
+def test_manual_mapping_enables_and_extracts_from_the_mapped_node(client, fake_comfy):
+    fake_comfy.outputs_key = "gifs"
+    fake_comfy.out_name = "clip.mp4"
+    fake_comfy.forced_output_node = "12"  # the mapped node reports results
+    with _real_run(client, fake_comfy):
+        r = client.post(
+            "/api/workflows",
+            json={
+                "name": "映射·视频库",
+                "workflow_json": _vault_workflow(),
+                "usage": "text2video",
+                "usage_source": "user",
+                "output_map": [{"nodeId": "12", "kind": "video"}],
+                "output_map_source": "user",
+            },
+        )
+        assert r.status_code == 200, r.text
+        wf = r.json()
+        assert wf["is_enabled"] is True
+        assert wf["output_map"] == [{"nodeId": "12", "kind": "video"}]
+        assert wf["output_map_source"] == "user"
+
+        r = client.post(
+            "/api/playground/generate",
+            json={"workflow_id": wf["id"], "input_values": {"1": "星空延时"},
+                  "source": "studio-video"},
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "done", job.get("error")
+        assert job["output_paths"][0].endswith(".mp4")
+
+
+def test_mapped_node_returning_nothing_fails_for_real(client, fake_comfy):
+    """Results that only land on an unmapped node are NOT a completion."""
+    fake_comfy.forced_output_node = "7"  # something else reports results
+    with _real_run(client, fake_comfy):
+        r = client.post(
+            "/api/workflows",
+            json={
+                "name": "映射·空手而归",
+                "workflow_json": _muffin_workflow(),
+                "usage": "text2image",
+                "usage_source": "user",
+                "output_map": [{"nodeId": "15", "kind": "image"}],
+            },
+        )
+        assert r.status_code == 200 and r.json()["is_enabled"] is True
+        r = client.post(
+            "/api/playground/generate",
+            json={"workflow_id": r.json()["id"], "input_values": {"1": "x"}},
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "failed"
+        assert "没有返回任何图片或视频" in job["error"]
+        assert "15" in job["error"]  # names the node it waited on
+        assert job["output_paths"] == []
+
+
+def test_media_type_mismatch_fails_for_real(client, fake_comfy):
+    """A video mapping that only yields a png is a real failure."""
+    fake_comfy.outputs_key = "images"
+    fake_comfy.out_name = "still.png"
+    fake_comfy.forced_output_node = "12"
+    with _real_run(client, fake_comfy):
+        r = client.post(
+            "/api/workflows",
+            json={
+                "name": "映射·类型不符",
+                "workflow_json": _vault_workflow(),
+                "usage": "text2video",
+                "usage_source": "user",
+                "output_map": [{"nodeId": "12", "kind": "video"}],
+            },
+        )
+        wid = r.json()["id"]
+        r = client.post(
+            "/api/playground/generate",
+            json={"workflow_id": wid, "input_values": {"1": "x"}},
+        )
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "failed"
+        assert "媒体类型与映射不符" in job["error"]
+        assert job["output_paths"] == []
+
+
+# ---------------------------------------------------------------------------
+# 4. Bad / cancelled mappings
+# ---------------------------------------------------------------------------
+
+
+def test_invalid_mappings_are_rejected_in_chinese(client):
+    r = client.post(
+        "/api/workflows",
+        json={"name": "坏映射", "workflow_json": _vault_workflow(),
+              "usage": "text2video",
+              "output_map": [{"nodeId": "999", "kind": "video"}]},
+    )
+    assert r.status_code == 422 and "不存在" in r.json()["detail"]
+
+    r = client.post(
+        "/api/workflows",
+        json={"name": "坏映射2", "workflow_json": _vault_workflow(),
+              "usage": "text2video",
+              "output_map": [{"nodeId": "12", "kind": "audio"}]},
+    )
+    assert r.status_code == 422 and "媒体类型" in r.json()["detail"]
+
+    # a prompt/parameter node can never be an output
+    r = client.post(
+        "/api/workflows",
+        json={"name": "坏映射3", "workflow_json": _vault_workflow(),
+              "usage": "text2video",
+              "output_map": [{"nodeId": "1", "kind": "video"}]},
+    )
+    assert r.status_code == 422 and "不能作为输出节点" in r.json()["detail"]
+
+    wid = client.post(
+        "/api/workflows",
+        json={"name": "先好后坏", "workflow_json": _vault_workflow(),
+              "usage": "text2video",
+              "output_map": [{"nodeId": "12", "kind": "video"}]},
+    ).json()["id"]
+    r = client.patch(
+        f"/api/workflows/{wid}", json={"output_map": [{"nodeId": "42", "kind": "image"}]}
+    )
+    assert r.status_code == 422 and "不存在" in r.json()["detail"]
+
+
+def test_clearing_the_mapping_resets_to_pending(client):
+    wid = client.post(
+        "/api/workflows",
+        json={"name": "映射后清空", "workflow_json": _vault_workflow(),
+              "usage": "text2video",
+              "output_map": [{"nodeId": "12", "kind": "video"}]},
+    ).json()["id"]
+    wf = client.get(f"/api/workflows/{wid}").json()
+    assert wf["is_enabled"] is True
+
+    r = client.patch(f"/api/workflows/{wid}", json={"output_map": []})
+    assert r.status_code == 200
+    wf = r.json()
+    assert wf["is_enabled"] is False and not wf["output_map"]
+    assert wf["usage"] == "text2video"  # the usage decision survives
+    gen = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wid, "input_values": {"1": "x"}},
+    )
+    assert gen.status_code == 400
+
+
+# ---------------------------------------------------------------------------
+# 5. Saved mappings survive reanalyze / field edits / migration
+# ---------------------------------------------------------------------------
+
+
+def test_saved_mapping_survives_reanalyze_and_field_edits(client):
+    r = client.post(
+        "/api/workflows",
+        json={"name": "重分析·保映射", "workflow_json": _vault_workflow(),
+              "usage": "text2video",
+              "output_map": [{"nodeId": "12", "kind": "video"}]},
+    )
+    wid = r.json()["id"]
+
+    r = client.patch(f"/api/workflows/{wid}", json={"name": "改名不影响映射",
+                                                    "description": "编辑其他字段"})
+    wf = r.json()
+    assert wf["output_map"] == [{"nodeId": "12", "kind": "video"}]
+    assert wf["output_map_source"] == "user" and wf["is_enabled"] is True
+
+    r = client.post(f"/api/workflows/{wid}/reanalyze")
+    assert r.status_code == 200
+    wf = r.json()
+    assert wf["output_map"] == [{"nodeId": "12", "kind": "video"}]
+    assert wf["output_map_source"] == "user"
+    assert wf["usage"] == "text2video" and wf["usage_source"] == "user"
+    assert wf["is_enabled"] is True
+
+
+def test_sql_forced_enabled_row_without_mapping_is_blocked(client):
+    """Backend-direct generation on an unconfirmed row is refused."""
+    wid = client.post(
+        "/api/workflows",
+        json={"name": "强开", "workflow_json": _vault_workflow(),
+              "usage": "text2video"},
+    ).json()["id"]
+    conn = get_db(settings.db_path)
+    try:
+        conn.execute("UPDATE workflows SET is_enabled = 1 WHERE id = ?", (wid,))
+        conn.commit()
+    finally:
+        conn.close()
+    gen = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wid, "input_values": {"1": "x"}},
+    )
+    assert gen.status_code == 400
+    assert "输出节点" in gen.json()["detail"]
+
+
+def test_migration_parks_unknown_output_rows_and_keeps_trusted_ones(client):
+    import asyncio
+
+    conn = get_db(settings.db_path)
+    try:
+        # Pre-HEL-638 shape: user confirmed a usage on an unknown-output
+        # graph and the old PATCH re-enabled it.
+        conn.execute(
+            "INSERT INTO workflows (name, kind, workflow_json, input_schema,"
+            " output_schema, is_enabled, usage, usage_source)"
+            " VALUES (?, 'video', ?, '[]', '[]', 1, 'text2video', 'user')",
+            ("存量·未知输出", json.dumps(_vault_workflow())),
+        )
+        conn.commit()
+    finally:
+        conn.close()
+
+    asyncio.run(migrate_db(settings.db_path))  # idempotent re-run
+
+    wfs = {w["name"]: w for w in client.get("/api/workflows").json()}
+    parked = wfs["存量·未知输出"]
+    assert parked["is_enabled"] is False
+    assert parked["usage"] == "text2video"  # decision preserved
+    assert not parked["output_map"] and parked["needs_mapping"] is True
+
+    # A trusted five-type import keeps working untouched.
+    r = client.post(
+        "/api/workflows",
+        json={"name": "存量·可信", "kind": "image",
+              "workflow_json": json.loads(
+                  (FIXTURES / "qwen_image_t2i_API.json").read_text(encoding="utf-8")
+              )},
+    )
+    assert r.status_code == 200
+    trusted = next(w for w in client.get("/api/workflows").json() if w["id"] == r.json()["id"])
+    assert trusted["is_enabled"] is True
+    assert trusted["output_map_source"] == "auto"
+    assert any(e["nodeId"] == "60" and e["kind"] == "image" for e in trusted["output_map"])
@@ -0,0 +1,289 @@
+"""HEL-623: workflows exported straight from ComfyUI (no (Input:…) title tags)
+still expose a prompt and their fillable widgets, patch back onto the right
+widget, and run the full 导入→填参→生成→历史 chain against a fake ComfyUI."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from calliope.comfyui.parser import parse_dynamic_inputs
+from calliope.comfyui.patcher import patch_workflow
+from calliope.comfyui.smart_fill import ref_image_slots
+from calliope.config import settings
+from calliope.db import get_db
+from tests.test_studio_generation import (  # noqa: F401 — fixture re-export
+    _import_workflow,
+    _real_run,
+    _wait_done,
+    fake_comfy,
+)
+
+FIXTURES = Path(__file__).parent / "fixtures" / "comfy_native"
+EXAMPLES = Path(__file__).resolve().parents[2] / "example_ComfyUI_workflows"
+
+
+def _load(name: str) -> dict:
+    return json.loads((FIXTURES / name).read_text(encoding="utf-8"))
+
+
+def _by_role(inputs: list[dict]) -> dict[str, dict]:
+    return {i["role"]: i for i in inputs if i.get("role")}
+
+
+def test_native_qwen_t2i_exposes_prompt_and_sampler_widgets():
+    inputs = parse_dynamic_inputs(_load("qwen_image_t2i_API.json"))
+    roles = _by_role(inputs)
+    assert roles["prompt"]["nodeId"] == "6"
+    assert roles["prompt"]["required"] is True
+    assert roles["prompt"]["defaultValue"].startswith("一只橘猫")
+    assert roles["negative"]["nodeId"] == "7"
+    assert roles["seed"]["nodeId"] == "3@seed"
+    assert roles["steps"]["nodeId"] == "3@steps"
+    assert roles["cfg"]["nodeId"] == "3@cfg"
+    assert roles["width"]["nodeId"] == "58@width"
+    assert roles["height"]["nodeId"] == "58@height"
+    assert roles["batch"]["nodeId"] == "58@batch_size"
+    assert all(i["auto"] for i in inputs)
+    assert [i for i in inputs if i["required"]] == [roles["prompt"]]
+
+
+def test_native_qwen_edit_detects_image_and_mask_slots():
+    inputs = parse_dynamic_inputs(_load("qwen_image_edit_mask_API.json"))
+    roles = _by_role(inputs)
+    # TextEncodeQwenImageEditPlus writes `prompt`, not the class-derived field
+    assert roles["prompt"]["nodeId"] == "76@prompt"
+    assert roles["negative"]["nodeId"] == "77@prompt"
+    media = {i["nodeId"]: i for i in inputs if i["kind"] == "image"}
+    assert set(media) == {"78", "95"}
+    assert media["95"]["role"] == "mask"
+    assert "mask" in media["95"]["label"].lower() or "遮罩" in media["95"]["label"]
+    # HEL-633: a wired input image must be uploaded (the export's own file name
+    # rarely exists on the target ComfyUI); the mask stays optional
+    assert media["78"]["required"] and not media["95"]["required"]
+
+
+def test_untagged_h3_video_detects_prompt_duration_seed():
+    inputs = parse_dynamic_inputs(_load("minimax_h3_t2v_untagged_API.json"))
+    roles = _by_role(inputs)
+    assert roles["prompt"]["nodeId"] == "6005"
+    assert roles["duration"]["nodeId"] == "221"
+    assert roles["seed"]["nodeId"] == "217@noise_seed"
+
+
+def test_real_qwen21_t2i_splits_single_encoder_into_both_prompts():
+    """白栖知的 wen-sheng-tu.json：一个 TextEncodeQwenImage21 同时喂 positive/negative."""
+    wf = _load("wen_sheng_tu_API.json")
+    inputs = parse_dynamic_inputs(wf)
+    roles = _by_role(inputs)
+    assert roles["prompt"]["nodeId"] == "459:452@prompt"
+    assert roles["prompt"]["label"] == "正向提示词"
+    assert roles["prompt"]["required"] is True
+    assert roles["prompt"]["defaultValue"].startswith("Greyscale fashion editorial")
+    assert roles["negative"]["nodeId"] == "459:452@negative_prompt"
+    assert roles["negative"]["label"] == "反向提示词"
+    assert roles["negative"]["required"] is False
+    assert roles["seed"]["nodeId"] == "459:458@seed"
+    assert roles["steps"]["nodeId"] == "459:458@steps"
+    assert roles["cfg"]["nodeId"] == "459:458@cfg"
+    assert roles["batch"]["nodeId"] == "459:456@batch_size"
+    # width/height are wired from the resolution selector — not exposed
+    assert "width" not in roles and "height" not in roles
+    assert [i for i in inputs if i["required"]] == [roles["prompt"]]
+
+    patched = patch_workflow(
+        wf, {roles["prompt"]["nodeId"]: "新正向", roles["negative"]["nodeId"]: "模糊"}
+    )
+    enc = patched["459:452"]["inputs"]
+    assert enc["prompt"] == "新正向"
+    assert enc["negative_prompt"] == "模糊"
+    assert enc["clip"] == ["459:453", 0]
+
+
+def test_real_h3_t2v_duration_from_expression_primitive():
+    """wen-sheng-shipin.json：无标题 PrimitiveFloat 经表达式换算帧数 → 时长（秒）."""
+    inputs = parse_dynamic_inputs(_load("wen_sheng_shipin_API.json"))
+    roles = _by_role(inputs)
+    assert roles["prompt"]["nodeId"] == "1"
+    assert roles["prompt"]["required"] is True
+    assert roles["duration"]["nodeId"] == "133"
+    assert roles["duration"]["label"] == "时长（秒）"
+    assert roles["duration"]["defaultValue"] == 10
+    assert roles["seed"]["nodeId"] == "129@noise_seed"
+    assert roles["steps"]["nodeId"] == "124@steps"
+    assert "negative" not in roles
+
+
+def _encoder_graph(encoder: dict, positive_slot: list, negative_slot: list) -> dict:
+    return {
+        "1": encoder,
+        "2": {
+            "class_type": "KSampler",
+            "inputs": {"seed": 1, "steps": 20, "cfg": 4, "positive": positive_slot,
+                       "negative": negative_slot},
+        },
+    }
+
+
+def test_custom_encoder_with_text_and_negative_prompt_is_split():
+    wf = _encoder_graph(
+        {"class_type": "MyTextEncodeDual", "inputs": {"text": "猫", "negative_prompt": "糊"},
+         "_meta": {"title": "MyTextEncodeDual"}},
+        ["1", 0],
+        ["1", 1],
+    )
+    roles = _by_role(parse_dynamic_inputs(wf))
+    assert roles["prompt"]["nodeId"] == "1"
+    assert roles["prompt"]["defaultValue"] == "猫"
+    assert roles["negative"]["nodeId"] == "1@negative_prompt"
+
+
+def test_clip_encoder_wired_to_both_positive_and_negative_stays_positive():
+    wf = _encoder_graph(
+        {"class_type": "CLIPTextEncode", "inputs": {"text": "猫"},
+         "_meta": {"title": "CLIP Text Encode"}},
+        ["1", 0],
+        ["1", 0],
+    )
+    roles = _by_role(parse_dynamic_inputs(wf))
+    assert roles["prompt"]["nodeId"] == "1"
+    assert "negative" not in roles
+
+
+def test_tagged_workflows_are_unchanged():
+    for path in sorted(EXAMPLES.glob("*.json")):
+        inputs = parse_dynamic_inputs(json.loads(path.read_text(encoding="utf-8")))
+        assert inputs, path.name
+        assert not any(i.get("auto") for i in inputs), path.name
+        assert all("@" not in i["nodeId"] for i in inputs), path.name
+
+
+def test_patch_field_keys_write_named_widget_and_keep_links():
+    wf = _load("qwen_image_t2i_API.json")
+    patched = patch_workflow(
+        wf,
+        {"6": "新的提示词", "3@seed": 7, "3@steps": 12, "58@width": 1024, "3@model": "x"},
+    )
+    assert patched["6"]["inputs"]["text"] == "新的提示词"
+    assert patched["3"]["inputs"]["seed"] == 7
+    assert patched["3"]["inputs"]["steps"] == 12
+    assert patched["58"]["inputs"]["width"] == 1024
+    # linked input stays wired; the base workflow is untouched
+    assert patched["3"]["inputs"]["model"] == ["66", 0]
+    assert wf["3"]["inputs"]["seed"] == 1125488487853216
+
+
+def test_smart_fill_sort_accepts_subgraph_and_field_ids():
+    slots = ref_image_slots(
+        [
+            {"nodeId": "171:12", "role": "image", "kind": "image"},
+            {"nodeId": "9", "role": "image", "kind": "image"},
+            {"nodeId": "3@image", "role": "image", "kind": "image"},
+        ]
+    )
+    assert [s["nodeId"] for s in slots] == ["3@image", "9", "171:12"]
+
+
+def test_list_backfills_schema_for_workflows_imported_before_detection(client):
+    conn = get_db(settings.db_path)
+    try:
+        cur = conn.execute(
+            "INSERT INTO workflows"
+            " (name, kind, workflow_json, input_schema, output_schema, is_enabled)"
+            " VALUES (?, 'image', ?, '[]', '[]', 1)",
+            ("旧导入·Qwen", json.dumps(_load("qwen_image_t2i_API.json"))),
+        )
+        conn.commit()
+        wf_id = cur.lastrowid
+    finally:
+        conn.close()
+    wf = client.get(f"/api/workflows/{wf_id}").json()
+    assert _by_role(wf["input_schema"])["prompt"]["nodeId"] == "6"
+    listed = next(w for w in client.get("/api/workflows").json() if w["id"] == wf_id)
+    assert len(listed["input_schema"]) == len(wf["input_schema"])
+
+
+def test_native_workflow_full_chain(client, fake_comfy):  # noqa: F811
+    """导入原生 Qwen 工作流 → 填参 → 生成 → ComfyUI 收到改写后的节点 → 历史可见."""
+    with _real_run(client, fake_comfy):
+        wf_id = _import_workflow(
+            client, "原生·Qwen 文生图", "image", _load("qwen_image_t2i_API.json")
+        )
+        wf = client.get(f"/api/workflows/{wf_id}").json()
+        roles = _by_role(wf["input_schema"])
+        r = client.post(
+            "/api/playground/generate",
+            json={
+                "workflow_id": wf_id,
+                "input_values": {
+                    roles["prompt"]["nodeId"]: "雨夜霓虹街道",
+                    roles["seed"]["nodeId"]: 99,
+                    roles["width"]["nodeId"]: 1024,
+                    roles["height"]["nodeId"]: 768,
+                },
+                "source": "studio-image",
+                "endpoint_id": settings.comfyui_active_id,
+            },
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "done", job.get("error")
+        queued = fake_comfy.prompts[-1]["prompt"]
+        assert queued["6"]["inputs"]["text"] == "雨夜霓虹街道"
+        assert queued["3"]["inputs"]["seed"] == 99
+        assert queued["58"]["inputs"]["width"] == 1024
+        assert queued["58"]["inputs"]["height"] == 768
+        assert queued["3"]["inputs"]["positive"] == ["6", 0]
+        history = client.get("/api/playground/jobs").json()
+        assert any(j["id"] == job["id"] and j["status"] == "done" for j in history)
+
+
+def test_real_qwen21_t2i_full_chain(client, fake_comfy):  # noqa: F811
+    with _real_run(client, fake_comfy):
+        wf_id = _import_workflow(
+            client, "真实·Qwen2.1 文生图", "image", _load("wen_sheng_tu_API.json")
+        )
+        roles = _by_role(client.get(f"/api/workflows/{wf_id}").json()["input_schema"])
+        r = client.post(
+            "/api/playground/generate",
+            json={
+                "workflow_id": wf_id,
+                "input_values": {
+                    roles["prompt"]["nodeId"]: "雨夜霓虹街道",
+                    roles["negative"]["nodeId"]: "低清晰度",
+                    roles["seed"]["nodeId"]: 7,
+                },
+                "source": "studio-image",
+                "endpoint_id": settings.comfyui_active_id,
+            },
+        )
+        assert r.status_code == 200, r.text
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "done", job.get("error")
+        queued = fake_comfy.prompts[-1]["prompt"]
+        assert queued["459:452"]["inputs"]["prompt"] == "雨夜霓虹街道"
+        assert queued["459:452"]["inputs"]["negative_prompt"] == "低清晰度"
+        assert queued["459:458"]["inputs"]["seed"] == 7
+        assert queued["459:458"]["inputs"]["negative"] == ["459:452", 1]
+
+
+def test_comfy_rejection_is_reported_in_chinese(client, fake_comfy):  # noqa: F811
+    fake_comfy.fail_prompt = True
+    with _real_run(client, fake_comfy):
+        wf_id = _import_workflow(
+            client, "原生·Qwen(拒绝)", "image", _load("qwen_image_t2i_API.json")
+        )
+        r = client.post(
+            "/api/playground/generate",
+            json={"workflow_id": wf_id, "input_values": {"6": "x"}, "source": "studio-image"},
+        )
+        job = _wait_done(client, r.json()["job"]["id"])
+        assert job["status"] == "failed"
+        assert "ComfyUI 拒绝执行该工作流" in job["error"]
+        assert "HTTP 500" in job["error"]
+
+
+def test_generate_unknown_workflow_has_chinese_detail(client):
+    r = client.post("/api/playground/generate", json={"workflow_id": 987654, "input_values": {}})
+    assert r.status_code == 404
+    assert "工作流不存在" in r.json()["detail"]
@@ -0,0 +1,311 @@
+"""HEL-636 A1–A6: the five-usage classifier judges from graph evidence only.
+
+Every case feeds real (or minimally mutated) ComfyUI API exports — never a
+file name, model name or fixed node id — and asserts the usage, the media
+slots it implies, and the failure paths for ambiguous / unknown graphs.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from calliope.comfyui.lint import blocking_problem, workflow_warnings
+from calliope.comfyui.parser import (
+    classify_usage,
+    detect_untagged_inputs,
+    parse_dynamic_inputs,
+    parse_dynamic_outputs,
+)
+from calliope.comfyui.patcher import patch_workflow
+
+FIXTURES = Path(__file__).parent / "fixtures" / "comfy_native"
+EXAMPLES = Path(__file__).resolve().parents[2] / "example_ComfyUI_workflows"
+
+
+def _load(path: Path) -> dict:
+    return json.loads(path.read_text(encoding="utf-8"))
+
+
+def _rename_everything(wf: dict, id_shift: int = 7) -> dict:
+    """Change every node id, title and widget value the classifier must not
+    depend on (model file names / prompt texts)."""
+    def new_id(nid: str) -> str:
+        return f"x{int(nid) * id_shift + 3}" if nid.isdigit() else "x" + nid.replace(":", "_")
+
+    out: dict = {}
+    for nid, node in wf.items():
+        out[new_id(nid)] = json.loads(json.dumps(node))
+    for node in out.values():
+        for val in (node.get("inputs") or {}).values():
+            if isinstance(val, list) and len(val) == 2 and str(val[0]).isdigit():
+                val[0] = new_id(str(val[0]))
+        if node.get("_meta", {}).get("title"):
+            node["_meta"]["title"] = f"改·{node['_meta']['title']}"
+        for key, val in list((node.get("inputs") or {}).items()):
+            if isinstance(val, str) and val.endswith((".safetensors", ".gguf")):
+                node["inputs"][key] = "另一个模型_" + val
+    return out
+
+
+def _media(inputs: list[dict]) -> list[dict]:
+    return [
+        i
+        for i in inputs
+        if i["kind"] in ("image", "image_list", "video", "audio")
+    ]
+
+
+# ---------------------------------------------------------------------------
+# A1 / A2 / A3: the three real shapes, plus id/title/model renames
+# ---------------------------------------------------------------------------
+
+
+def test_a1_native_t2i_is_text2image_and_form_has_no_image_slot():
+    wf = _load(FIXTURES / "qwen_image_t2i_API.json")
+    c = classify_usage(wf)
+    assert c["usage"] == "text2image"
+    assert c["ambiguous"] is False and c["needs_mapping"] is False
+    assert _media(parse_dynamic_inputs(wf)) == []
+    outs = parse_dynamic_outputs(wf)
+    assert [(o["nodeId"], o["kind"]) for o in outs] == [("60", "image")]
+
+
+def test_a2_qwen_edit_variant_with_new_ids_titles_and_model_stays_image2image():
+    wf = _rename_everything(_load(FIXTURES / "qwen_image_edit_mask_API.json"))
+    c = classify_usage(wf)
+    assert c["usage"] == "image2image"
+    inputs = parse_dynamic_inputs(wf)
+    img = [i for i in _media(inputs) if i.get("role") == "image"]
+    assert len(img) == 1 and img[0]["required"] is True
+    mask = [i for i in _media(inputs) if i.get("role") == "mask"]
+    assert len(mask) == 1  # mask never counts as an input image
+
+
+def test_a3_i2v_variant_renamed_still_image2video_with_optional_last_frame():
+    wf = _rename_everything(_load(FIXTURES / "h3_i2v_04_API.json"))
+    c = classify_usage(wf)
+    assert c["usage"] == "image2video"
+    media = _media(parse_dynamic_inputs(wf))
+    # HEL-671: the FL2VA node's unwired last_frame is offered, but optional
+    assert [(i.get("role"), i["required"]) for i in media] == [
+        ("first_frame", True),
+        ("last_frame", False),
+    ]
+    assert blocking_problem(wf) is None
+
+
+def test_a4_ref2va_variant_with_renamed_class_and_prefix_still_groups():
+    wf = _rename_everything(_load(FIXTURES / "h3_ref2va_05_API.json"))
+    for node in wf.values():
+        if node.get("class_type") == "MiniMaxH3ReferenceToVideo":
+            node["class_type"] = "MyFancyRefToVideo"
+            inputs = node["inputs"]
+            for k in list(inputs):
+                if k.startswith("ref_images.ref_image_"):
+                    inputs[k.replace("ref_images.ref_image_", "refs.pic_")] = inputs.pop(k)
+    c = classify_usage(wf)
+    assert c["usage"] == "ref2video"
+    groups = [i for i in detect_untagged_inputs(wf) if i["kind"] == "image_list"]
+    assert len(groups) == 1
+    g = groups[0]
+    assert g["role"] == "reference_image" and (g["min"], g["max"]) == (1, 9)
+    # patch rewires the renamed group in order and refuses a 10th image
+    key = g["nodeId"]
+    node_id = key.split("@")[0]
+    patched = patch_workflow(wf, {key: [f"/u/{i}.png" for i in range(4)]})
+    names = sorted(
+        (k for k in patched[node_id]["inputs"] if k.startswith("refs.pic_")),
+        key=lambda k: int(k.rsplit("_", 1)[-1]) if k.rsplit("_", 1)[-1].isdigit() else int(k[-1]),
+    )
+    assert names == [f"refs.pic_{i}" for i in range(4)]
+    from calliope.comfyui.validate import validate_input_values
+
+    _c, errs = validate_input_values(
+        detect_untagged_inputs(wf), {key: [f"/u/{i}.png" for i in range(10)]}
+    )
+    assert any("最多 9 张" in e for e in errs)
+
+
+def test_qwen_single_numbered_encoder_input_is_not_mistaken_for_a_group():
+    """TextEncodeQwenImage21's ``images.image_1`` stays an ordinary input slot."""
+    inputs = parse_dynamic_inputs(_load(FIXTURES / "qwen21_edit_sage_API.json"))
+    assert not any(i["kind"] == "image_list" for i in inputs)
+    assert any(i.get("role") == "image" for i in inputs)
+
+
+# ---------------------------------------------------------------------------
+# Judgment table rows from the real example library
+# ---------------------------------------------------------------------------
+
+
+def test_all_real_exports_classify():
+    expect = {
+        "qwen_image_t2i_API.json": "text2image",
+        "qwen_image_edit_mask_API.json": "image2image",
+        "qwen21_edit_sage_API.json": "image2image",
+        "h3_i2v_04_API.json": "image2video",
+        "h3_ref2va_05_API.json": "ref2video",
+        "minimax_h3_t2v_untagged_API.json": "text2video",
+        "wen_sheng_tu_API.json": "text2image",
+        "wen_sheng_shipin_API.json": "text2video",
+    }
+    for name, usage in expect.items():
+        assert classify_usage(_load(FIXTURES / name))["usage"] == usage, name
+    examples = {
+        "Krea2_t2i_20260818_API.json": "text2image",
+        "krea2_T2I_CharSheetV1_API.json": "text2image",
+        "minimax_h3-Turbo_Text2Video_20260813_API.json": "text2video",
+        "minimax_h3-Turbo_Image2Video_20260813_API.json": "text2video",
+        "MiniMax-H3-Turbo-R2V-Extend-2Refs1Vid_API.json": "ref2video",
+        "video_minimax_h3_r2v_2ref_API.json": "ref2video",
+        "video_minimax_h3_r2v_3ref_API.json": "ref2video",
+        "video_minimax_h3_r2v_4ref_API.json": "ref2video",
+        "video_minimax_h3_r2v_5ref_API.json": "ref2video",
+    }
+    for name, usage in examples.items():
+        assert classify_usage(_load(EXAMPLES / name))["usage"] == usage, name
+
+
+def test_r2v_extend_reports_its_video_input_slot():
+    wf = _load(EXAMPLES / "MiniMax-H3-Turbo-R2V-Extend-2Refs1Vid_API.json")
+    c = classify_usage(wf)
+    assert c["usage"] == "ref2video"
+    assert c["evidence"]["video_slots"], "the reference-video slot must be reported"
+    assert any("视频输入槽" in line for line in c["evidence"]["summary"])
+
+
+# ---------------------------------------------------------------------------
+# A5: ambiguity — single loose image into a video graph; multi-output graph
+# ---------------------------------------------------------------------------
+
+
+def _load_image(nid: str) -> dict:
+    return {
+        "class_type": "LoadImage",
+        "inputs": {"image": "x.png"},
+        "_meta": {"title": f"图 {nid}"},
+    }
+
+
+def test_single_loose_image_with_video_output_is_ambiguous():
+    wf = {
+        "1": {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "p"}},
+        "5": {"class_type": "LoadImage", "inputs": {"image": "x.png"}},
+        "7": {
+            "class_type": "SomeVideoSampler",
+            "inputs": {"prompt": ["1", 0], "image": ["5", 0]},
+        },
+        "9": {"class_type": "SaveVideo", "inputs": {"images": ["7", 0]}},
+    }
+    c = classify_usage(wf)
+    assert c["usage"] is None and c["ambiguous"] is True
+    assert "首帧还是参考图" in c["problem"]
+
+
+def test_first_frame_role_decides_image2video_without_ambiguity():
+    wf = {
+        "1": {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "p"}},
+        "5": {"class_type": "LoadImage", "inputs": {"image": "x.png"}},
+        "7": {
+            "class_type": "SomeVideoSampler",
+            "inputs": {"prompt": ["1", 0], "first_frame": ["5", 0]},
+        },
+        "9": {"class_type": "SaveVideo", "inputs": {"images": ["7", 0]}},
+    }
+    assert classify_usage(wf)["usage"] == "image2video"
+
+
+def test_same_graph_both_image_and_video_outputs_is_ambiguous():
+    wf = {
+        "1": {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "p"}},
+        "5": {"class_type": "LoadImage", "inputs": {"image": "x.png"}},
+        "7": {
+            "class_type": "SomeVideoSampler",
+            "inputs": {"prompt": ["1", 0], "image": ["5", 0]},
+        },
+        "9": {"class_type": "SaveVideo", "inputs": {"images": ["7", 0]}},
+        "10": {"class_type": "SaveImage", "inputs": {"images": ["7", 1]}},
+    }
+    c = classify_usage(wf)
+    assert c["usage"] is None and c["ambiguous"] is True
+    assert "同时输出图片和视频" in c["problem"]
+
+
+def test_two_reference_images_into_a_custom_node_become_a_group_ref2video():
+    wf = {
+        "1": {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "p"}},
+        "5": {"class_type": "LoadImage", "inputs": {"image": "a.png"}},
+        "6": {"class_type": "LoadImage", "inputs": {"image": "b.png"}},
+        "7": {
+            "class_type": "GenericRefToVideo",
+            "inputs": {
+                "prompt": ["1", 0],
+                "refs.pic_1": ["5", 0],
+                "refs.pic_2": ["6", 0],
+            },
+        },
+        "9": {"class_type": "SaveVideo", "inputs": {"images": ["7", 0]}},
+    }
+    c = classify_usage(wf)
+    assert c["usage"] == "ref2video"
+    groups = [i for i in detect_untagged_inputs(wf) if i["kind"] == "image_list"]
+    assert [g["nodeId"] for g in groups] == ["7@refs"]
+
+
+# ---------------------------------------------------------------------------
+# A6: failure paths — no output, unknown custom output nodes
+# ---------------------------------------------------------------------------
+
+
+def test_no_output_graph_reports_chinese_error_and_blocks():
+    wf = {
+        "1": {"class_type": "CLIPTextEncode", "inputs": {"text": "p"}},
+        "2": {"class_type": "VAEDecode", "inputs": {"samples": ["1", 0]}},
+    }
+    c = classify_usage(wf)
+    assert c["usage"] is None and c["ambiguous"] is False
+    assert "未在图中找到输出节点" in c["problem"]
+    assert blocking_problem(wf) and "未在图中找到输出节点" in blocking_problem(wf)
+
+
+def test_unknown_custom_save_node_needs_mapping_and_keeps_a_runnable_path():
+    wf = {
+        "1": {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "p"}},
+        "7": {
+            "class_type": "MyCloudExporter",
+            "inputs": {"filename_prefix": "out", "render": ["8", 0]},
+        },
+        "8": {"class_type": "VAEDecode", "inputs": {"samples": ["1", 0]}},
+    }
+    c = classify_usage(wf)
+    assert c["needs_mapping"] is True
+    assert c["usage"] is None and "无法识别" in (c["problem"] or "")
+    # unknown savers are a warning (user maps them at import), not a block —
+    # once the user confirms the usage the job can still run and results are
+    # pulled from ComfyUI history's images/gifs/videos keys.
+    codes = {(w["level"], w["code"]) for w in workflow_warnings(wf)}
+    assert ("warning", "unknown_output_node") in codes
+    assert ("error", "no_output") not in codes
+
+
+def test_utility_sink_tail_is_not_an_output_and_does_not_break_detection():
+    """VideoCombine feeding a cache-cleanup tail still counts as the output."""
+    wf = _load(FIXTURES / "minimax_h3_t2v_untagged_API.json")
+    wf["9999"] = {
+        "class_type": "easy cleanGpuUsed",
+        "inputs": {"anything": ["5978", 0]},
+    }
+    c = classify_usage(wf)
+    assert c["usage"] == "text2video"
+    assert c["needs_mapping"] is False
+    assert workflow_warnings(wf) == []
+
+
+def test_evidence_lists_output_nodes_and_slots():
+    wf = _load(FIXTURES / "h3_ref2va_05_API.json")
+    c = classify_usage(wf)
+    ev = c["evidence"]
+    assert any(o["nodeId"] == "92" and o["kind"] == "video" for o in ev["outputs"])
+    assert any(s["kind"] == "image_list" for s in ev["image_slots"])
+    assert any("输出" in line for line in ev["summary"])
@@ -26,6 +26,15 @@ VIDEO_WORKFLOW = {
        "inputs": {"file": ""},
        "_meta": {"title": "Previous Clip (Input:video)"},
    },
+    "30": {
+        "class_type": "VHS_VideoCombine",
+        "inputs": {"images": ["40", 0]},
+        "_meta": {"title": "Video Output (Output:video)"},
+    },
+    "40": {
+        "class_type": "VAEDecode",
+        "inputs": {"samples": ["10", 0]},
+    },
 }

 # Same but the video slot is missing entirely — must be rejected at enqueue.
@@ -35,6 +44,15 @@ NO_VIDEO_WORKFLOW = {
        "inputs": {"text": ""},
        "_meta": {"title": "Main Prompt (Input:prompt)"},
    },
+    "30": {
+        "class_type": "VHS_VideoCombine",
+        "inputs": {"images": ["40", 0]},
+        "_meta": {"title": "Video Output (Output:video)"},
+    },
+    "40": {
+        "class_type": "VAEDecode",
+        "inputs": {"samples": ["10", 0]},
+    },
 }


@@ -250,12 +268,14 @@ def _scene_ids(pid: int) -> list[int]:


 async def _fake_history(_client, _prompt_id, *_args):
-    """A successful ComfyUI history with one video output named out.mp4.
-    Extra positional args (job_id) are accepted for the cancel-check wiring."""
+    """A successful ComfyUI history with one video output named out.mp4,
+    reported under the workflow's real output node (30 = the tagged
+    VHS_VideoCombine). Extra positional args (job_id) are accepted for the
+    cancel-check wiring."""
    return {
        "status": {"status_str": "success", "completed": True},
        "outputs": {
-            "99": {"videos": [{"filename": "out.mp4", "subfolder": "", "type": "output"}]}
+            "30": {"videos": [{"filename": "out.mp4", "subfolder": "", "type": "output"}]}
        },
    }

@@ -269,7 +289,11 @@ def _stub_comfy(monkeypatch, captured: dict) -> list[str]:
    prepare_media_inputs handed it; download_image writes out.mp4. Returns
    the list that collects uploaded local paths.
    """
-    queue_manager.paused = True
+    # monkeypatch (not bare assignment): queue_manager is a process-level
+    # singleton — a bare `paused = True` leaks into every later test and
+    # stalls e.g. test_workbench's worker (HEL-619). monkeypatch restores
+    # the previous value at teardown.
+    monkeypatch.setattr(queue_manager, "paused", True)
    uploads: list[str] = []

    async def fake_upload_video(self, path, subfolder="calliope"):
@@ -0,0 +1,421 @@
+"""五段创作工作台 (HEL-614) — stage lifecycle, context handoff (confirmed
+drafts only), edit/confirm/restore, script import, in-flow generation via
+the shared queue, and honest failure states. LLM is faked by monkeypatching
+the workbench router's LLMClient; ComfyUI runs in dry_run placeholder mode."""
+
+from __future__ import annotations
+
+import json
+import time
+
+import httpx
+import pytest
+
+from calliope.config import settings
+from calliope.routers import workbench as wb
+
+IMAGE_WORKFLOW = {
+    "1": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {"text": "默认提示词"},
+        "_meta": {"title": "(Input:prompt) 正向提示词"},
+    },
+    "9": {
+        "class_type": "SaveImage",
+        "inputs": {"images": "x"},
+        "_meta": {"title": "(Output:image) 图片输出"},
+    },
+}
+
+SCRIPT_TEXT = (
+    "《夜行便利店》\n第一场·内景·便利店·凌晨两点：店员小夏整理货架，风铃轻响，"
+    "一位穿米色风衣的女孩推门而入，径直走到关东煮前。\n小夏：还是老样子？\n女孩点头。"
+)
+
+STYLE_REPLY = json.dumps(
+    {
+        "directions": [
+            {
+                "id": "style1",
+                "name": "霓虹赛博",
+                "description": "青紫霓虹、湿润反光、浅景深",
+                "prompt": "cyberpunk convenience store, neon rim light, wet floor reflections",
+                "negative_prompt": "blurry, lowres",
+            },
+            {
+                "id": "style2",
+                "name": "暖调生活流",
+                "description": "暖黄顶光、柔焦、生活质感",
+                "prompt": "warm cozy interior, soft rim light, film grain",
+                "negative_prompt": "",
+            },
+        ]
+    },
+    ensure_ascii=False,
+)
+
+STORYBOARD_REPLY = json.dumps(
+    {
+        "shots": [
+            {
+                "id": "shot1",
+                "scene": "1",
+                "shot_size": "全景",
+                "camera": "固定",
+                "description": "凌晨便利店全貌，货架整齐，灯光惨白",
+                "dialog": "",
+                "duration_sec": 3,
+            },
+            {
+                "id": "shot2",
+                "scene": "1",
+                "shot_size": "特写",
+                "camera": "推",
+                "description": "风铃轻响，女孩的手推开玻璃门",
+                "dialog": "小夏：还是老样子？",
+                "duration_sec": 2,
+            },
+        ]
+    },
+    ensure_ascii=False,
+)
+
+ASSETS_REPLY = json.dumps(
+    {
+        "assets": [
+            {
+                "id": "asset1",
+                "kind": "character",
+                "name": "小夏",
+                "description": "夜班店员，白色制服",
+                "prompt": "convenience store clerk, white uniform, name tag, half body",
+            },
+            {
+                "id": "asset2",
+                "kind": "location",
+                "name": "便利店",
+                "description": "深夜便利店内部",
+                "prompt": "japanese convenience store interior at night, bright shelves",
+            },
+        ]
+    },
+    ensure_ascii=False,
+)
+
+SHOT_REPLY = json.dumps(
+    {
+        "shots": [
+            {
+                "id": "vshot1",
+                "shot_no": "S1",
+                "description": "开场全景",
+                "prompt": "slow push in on convenience store shelves at night, cinematic",
+                "duration_sec": 4,
+            },
+            {
+                "id": "vshot2",
+                "shot_no": "S2",
+                "description": "风铃特写",
+                "prompt": "close up wind chime, door opens, warm light spill",
+                "duration_sec": 3,
+            },
+        ]
+    },
+    ensure_ascii=False,
+)
+
+
+class FakeLLM:
+    """Scripted replies; records every chat() call for context assertions."""
+
+    replies: list[str] = []
+    calls: list[list[dict]] = []
+
+    @classmethod
+    def reset(cls, replies: list[str]) -> None:
+        cls.replies = list(replies)
+        cls.calls = []
+
+    @classmethod
+    def for_role(cls, role: str, *, timeout: float = 120.0) -> "FakeLLM":
+        return cls()
+
+    async def chat(self, messages, temperature=0.7, **kwargs) -> str:
+        type(self).calls.append(messages)
+        if type(self).replies:
+            return type(self).replies.pop(0)
+        return json.dumps({"text": SCRIPT_TEXT}, ensure_ascii=False)
+
+    async def close(self) -> None:
+        return None
+
+
+class RefusingLLM(FakeLLM):
+    @classmethod
+    def for_role(cls, role: str, *, timeout: float = 120.0) -> "RefusingLLM":
+        return cls()
+
+    async def chat(self, messages, temperature=0.7, **kwargs) -> str:
+        type(self).calls.append(messages)
+        raise httpx.ConnectError("connection refused")
+
+
+def _make_project(client, **fields) -> int:
+    payload = {"title": fields.get("title", "夜行便利店"), "idea": "凌晨便利店的温暖相遇"}
+    r = client.post("/api/projects", json=payload)
+    assert r.status_code == 200, r.text
+    return r.json()["id"]
+
+
+def _overview(client, pid: int) -> dict:
+    r = client.get(f"/api/workbench/projects/{pid}")
+    assert r.status_code == 200, r.text
+    return r.json()
+
+
+def _stage(overview: dict, key: str) -> dict:
+    return next(s for s in overview["stages"] if s["stage_key"] == key)
+
+
+def _wait_stage_status(client, pid: int, key: str, statuses: set[str], timeout: float = 10.0) -> dict:
+    deadline = time.time() + timeout
+    stage = None
+    while time.time() < deadline:
+        stage = _stage(_overview(client, pid), key)
+        if stage["status"] in statuses:
+            return stage
+        time.sleep(0.2)
+    pytest.fail(f"stage {key} stuck in {stage and stage['status']!r}, want {statuses}")
+
+
+def _run(client, pid: int, key: str, instruction: str | None = None):
+    body = {"instruction": instruction} if instruction else {}
+    return client.post(f"/api/workbench/projects/{pid}/stages/{key}/run", json=body)
+
+
+def _confirm(client, pid: int, key: str, **extra):
+    return client.post(f"/api/workbench/projects/{pid}/stages/{key}/confirm", json=extra or None)
+
+
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def test_overview_ensures_five_todo_stages(client):
+    pid = _make_project(client)
+    overview = _overview(client, pid)
+    assert [s["stage_key"] for s in overview["stages"]] == [
+        "script",
+        "style",
+        "storyboard",
+        "assets",
+        "shot",
+    ]
+    assert all(s["status"] == "todo" for s in overview["stages"])
+    assert overview["project"]["title"] == "夜行便利店"
+
+
+def test_run_requires_previous_stage_confirmed(client, monkeypatch):
+    monkeypatch.setattr(wb, "LLMClient", FakeLLM)
+    FakeLLM.reset([])
+    pid = _make_project(client)
+    r = _run(client, pid, "style")
+    assert r.status_code == 409
+    assert "剧本创作" in r.json()["detail"]
+
+
+def test_five_stage_flow_confirmed_context_handoff(client, monkeypatch):
+    """从创意起步端到端：每段生成→确认；只有已确认内容进入下一段上下文。"""
+    monkeypatch.setattr(wb, "LLMClient", FakeLLM)
+    FakeLLM.reset(
+        [
+            json.dumps({"text": SCRIPT_TEXT}, ensure_ascii=False),
+            STYLE_REPLY,
+            STORYBOARD_REPLY,
+            ASSETS_REPLY,
+            SHOT_REPLY,
+        ]
+    )
+    pid = _make_project(client)
+
+    # 1. 剧本创作
+    assert _run(client, pid, "script").status_code == 200
+    stage = _wait_stage_status(client, pid, "script", {"awaiting_confirm"})
+    assert stage["content"]["text"] == SCRIPT_TEXT
+    assert _confirm(client, pid, "script").status_code == 200
+
+    # 2. 视觉设计 — 上下文带剧本
+    assert _run(client, pid, "style").status_code == 200
+    stage = _wait_stage_status(client, pid, "style", {"awaiting_confirm"})
+    assert len(stage["content"]["directions"]) == 2
+    assert SCRIPT_TEXT[:10] in FakeLLM.calls[-1][1]["content"]
+    r = _confirm(client, pid, "style", chosen_style_id="style2")
+    assert r.status_code == 200
+    assert r.json()["stage"]["chosen_style_id"] == "style2"
+
+    # 3. 分镜设计 — 上下文带剧本 + 已选风格（暖调生活流，非默认第一套）
+    assert _run(client, pid, "storyboard").status_code == 200
+    _wait_stage_status(client, pid, "storyboard", {"awaiting_confirm"})
+    ctx = FakeLLM.calls[-1][1]["content"]
+    assert "暖调生活流" in ctx
+    assert SCRIPT_TEXT[:10] in ctx
+    assert _confirm(client, pid, "storyboard").status_code == 200
+
+    # 4. 素材资产 — 上下文带分镜
+    assert _run(client, pid, "assets").status_code == 200
+    _wait_stage_status(client, pid, "assets", {"awaiting_confirm"})
+    ctx = FakeLLM.calls[-1][1]["content"]
+    assert "风铃轻响" in ctx
+    assert _confirm(client, pid, "assets").status_code == 200
+
+    # 5. 镜头脚本 — 上下文带素材清单
+    assert _run(client, pid, "shot").status_code == 200
+    stage = _wait_stage_status(client, pid, "shot", {"awaiting_confirm"})
+    ctx = FakeLLM.calls[-1][1]["content"]
+    assert "小夏" in ctx
+    assert stage["content"]["shots"][0]["prompt"].startswith("slow push")
+
+    # 进度反映到项目列表（真实阶段数据）
+    r = client.get("/api/projects")
+    stats = next(p for p in r.json() if p["id"] == pid)["stats"]
+    assert stats["stage_confirmed"] == 4
+    assert stats["stage_status"]["shot"] == "awaiting_confirm"
+
+
+def test_run_failure_keeps_confirmed_snapshot_and_reads_chinese(client, monkeypatch):
+    monkeypatch.setattr(wb, "LLMClient", RefusingLLM)
+    pid = _make_project(client)
+    # 先用正常 LLM 确认剧本
+    monkeypatch.setattr(wb, "LLMClient", FakeLLM)
+    FakeLLM.reset([json.dumps({"text": SCRIPT_TEXT}, ensure_ascii=False)])
+    _run(client, pid, "script")
+    _wait_stage_status(client, pid, "script", {"awaiting_confirm"})
+    _confirm(client, pid, "script")
+    # 视觉设计生成失败（连接拒绝）
+    monkeypatch.setattr(wb, "LLMClient", RefusingLLM)
+    assert _run(client, pid, "style").status_code == 200
+    stage = _wait_stage_status(client, pid, "style", {"todo"})
+    assert "连接大模型服务失败" in (stage["last_run"]["error"] or "")
+    # 剧本阶段不受影响
+    assert _stage(_overview(client, pid), "script")["status"] == "confirmed"
+
+
+def test_edit_after_confirm_and_restore(client, monkeypatch):
+    monkeypatch.setattr(wb, "LLMClient", FakeLLM)
+    FakeLLM.reset([json.dumps({"text": SCRIPT_TEXT}, ensure_ascii=False)])
+    pid = _make_project(client)
+    _run(client, pid, "script")
+    _wait_stage_status(client, pid, "script", {"awaiting_confirm"})
+    _confirm(client, pid, "script")
+
+    # 编辑已确认阶段 → 变回待确认草稿，已确认快照保留
+    edited = {"text": SCRIPT_TEXT + "\n（结尾新增：女孩微笑离开。）"}
+    r = client.patch(f"/api/workbench/projects/{pid}/stages/script", json={"content": edited})
+    assert r.status_code == 200
+    stage = r.json()["stage"]
+    assert stage["status"] == "awaiting_confirm"
+    assert stage["draft_edited"] is True
+    assert stage["confirmed_content"]["text"] == SCRIPT_TEXT
+
+    # 恢复已确认版本
+    r = client.post(f"/api/workbench/projects/{pid}/stages/script/restore")
+    assert r.status_code == 200
+    stage = r.json()["stage"]
+    assert stage["status"] == "confirmed"
+    assert stage["content"]["text"] == SCRIPT_TEXT
+
+
+def test_import_script_confirms_and_unlocks_style(client, monkeypatch):
+    monkeypatch.setattr(wb, "LLMClient", FakeLLM)
+    FakeLLM.reset([STYLE_REPLY])
+    pid = _make_project(client)
+    r = client.post(f"/api/workbench/projects/{pid}/stages/script/import", json={"text": SCRIPT_TEXT})
+    assert r.status_code == 200
+    assert r.json()["stage"]["status"] == "confirmed"
+    # 跳过剧本创作，直接从视觉设计继续
+    assert _run(client, pid, "style").status_code == 200
+    _wait_stage_status(client, pid, "style", {"awaiting_confirm"})
+    # 太短的导入被拒绝
+    r = client.post(
+        f"/api/workbench/projects/{pid}/stages/script/import", json={"text": "太短"}
+    )
+    assert r.status_code == 400
+    assert "太短" in r.json()["detail"]
+
+
+def test_generate_without_workflow_is_chinese_400(client):
+    pid = _make_project(client)
+    r = client.post(
+        f"/api/workbench/projects/{pid}/generate",
+        json={"kind": "image", "stage_key": "assets", "target_id": "asset1", "prompt": "a cat"},
+    )
+    assert r.status_code == 400
+    assert "没有可用的生图工作流" in r.json()["detail"]
+
+
+def test_generate_image_job_returns_to_project(client):
+    pid = _make_project(client)
+    # 手动放入素材阶段草稿（带 asset1）
+    r = client.patch(
+        f"/api/workbench/projects/{pid}/stages/assets",
+        json={"content": json.loads(ASSETS_REPLY)},
+    )
+    assert r.status_code == 200
+    wf = client.post(
+        "/api/workflows",
+        json={"name": "假·文生图", "kind": "image", "workflow_json": IMAGE_WORKFLOW},
+    )
+    assert wf.status_code == 200, wf.text
+
+    r = client.post(
+        f"/api/workbench/projects/{pid}/generate",
+        json={
+            "kind": "image",
+            "stage_key": "assets",
+            "target_id": "asset1",
+            "prompt": "convenience store clerk portrait",
+        },
+    )
+    assert r.status_code == 200, r.text
+    job = r.json()["job"]
+    assert job["payload"]["source"] == "workbench"
+    assert job["payload"]["target_id"] == "asset1"
+    assert job["payload"]["input_values"]["1"] == "convenience store clerk portrait"
+
+    # dry_run worker completes with a placeholder; overview enriches the asset
+    deadline = time.time() + 40
+    job_done = False
+    mine = None
+    while time.time() < deadline:
+        jobs = client.get(f"/api/jobs?project_id={pid}").json()
+        mine = next((j for j in jobs if j["id"] == job["id"]), None)
+        if mine and mine["status"] in ("done", "failed"):
+            job_done = mine["status"] == "done"
+            break
+        time.sleep(0.4)
+    assert job_done, f"workbench job did not finish: {mine}"
+    stage = _stage(_overview(client, pid), "assets")
+    asset = next(a for a in stage["content"]["assets"] if a["id"] == "asset1")
+    assert asset["job"]["status"] == "done"
+    assert asset["job"]["output"] and asset["job"]["output"].endswith(".png")
+
+
+def test_project_list_stats_include_active_jobs(client):
+    pid = _make_project(client)
+    wf = client.post(
+        "/api/workflows",
+        json={"name": "假·文生图2", "kind": "image", "workflow_json": IMAGE_WORKFLOW},
+    )
+    wf_id = wf.json()["id"]
+    r = client.post(
+        f"/api/workbench/projects/{pid}/generate",
+        json={"kind": "image", "stage_key": "assets", "prompt": "x"},
+    )
+    assert r.status_code == 200
+    r = client.get("/api/projects")
+    stats = next(p for p in r.json() if p["id"] == pid)["stats"]
+    assert stats["active_jobs"] >= 1
+    assert stats["stage_confirmed"] == 0
+    # a project that never opened the workbench reports no stage rows at all
+    pid2 = _make_project(client, title="未开工")
+    stats2 = next(p for p in client.get("/api/projects").json() if p["id"] == pid2)["stats"]
+    assert stats2["stage_status"] == {} and stats2["stage_confirmed"] == 0
@@ -0,0 +1,421 @@
+"""HEL-681 (S2): batch import endpoints, meta list view, migration safety.
+
+Everything runs on a temp DB via the shared client fixture — the real
+146-file library is never touched, matching the card's「不导入生产数据」boundary.
+"""
+
+from __future__ import annotations
+
+import json
+import sqlite3
+from pathlib import Path
+
+from calliope.db import migrate_db
+
+import pytest
+
+
+EXAMPLES = Path(__file__).resolve().parents[2] / "example_ComfyUI_workflows"
+
+
+def _ui_graph():
+    """Minimal clean t2i UI graph (same shape as test_ui_convert's)."""
+    return {
+        "nodes": [
+            {
+                "id": 1,
+                "type": "CheckpointLoaderSimple",
+                "mode": 0,
+                "inputs": [{"name": "ckpt_name", "type": "COMBO", "widget": {"name": "ckpt_name"}, "link": None}],
+                "outputs": [
+                    {"name": "MODEL", "type": "MODEL", "links": [3], "slot_index": 0},
+                    {"name": "CLIP", "type": "CLIP", "links": [1, 2], "slot_index": 1},
+                    {"name": "VAE", "type": "VAE", "links": [8], "slot_index": 2},
+                ],
+                "widgets_values": ["qwen_image_2.safetensors"],
+            },
+            {
+                "id": 2,
+                "type": "CLIPTextEncode",
+                "mode": 0,
+                "inputs": [
+                    {"name": "clip", "type": "CLIP", "link": 1},
+                    {"name": "text", "type": "STRING", "widget": {"name": "text"}, "link": None},
+                ],
+                "outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [4], "slot_index": 0}],
+                "widgets_values": ["a cat"],
+            },
+            {
+                "id": 3,
+                "type": "CLIPTextEncode",
+                "mode": 0,
+                "inputs": [
+                    {"name": "clip", "type": "CLIP", "link": 2},
+                    {"name": "text", "type": "STRING", "widget": {"name": "text"}, "link": None},
+                ],
+                "outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [5], "slot_index": 0}],
+                "widgets_values": ["bad"],
+            },
+            {
+                "id": 4,
+                "type": "EmptyLatentImage",
+                "mode": 0,
+                "inputs": [
+                    {"name": "width", "type": "INT", "widget": {"name": "width"}, "link": None},
+                    {"name": "height", "type": "INT", "widget": {"name": "height"}, "link": None},
+                    {"name": "batch_size", "type": "INT", "widget": {"name": "batch_size"}, "link": None},
+                ],
+                "outputs": [{"name": "LATENT", "type": "LATENT", "links": [6], "slot_index": 0}],
+                "widgets_values": [512, 512, 1],
+            },
+            {
+                "id": 5,
+                "type": "KSampler",
+                "mode": 0,
+                "inputs": [
+                    {"name": "model", "type": "MODEL", "link": 3},
+                    {"name": "positive", "type": "CONDITIONING", "link": 4},
+                    {"name": "negative", "type": "CONDITIONING", "link": 5},
+                    {"name": "latent_image", "type": "LATENT", "link": 6},
+                    {"name": "seed", "type": "INT", "widget": {"name": "seed"}, "link": None},
+                    {"name": "steps", "type": "INT", "widget": {"name": "steps"}, "link": None},
+                    {"name": "cfg", "type": "FLOAT", "widget": {"name": "cfg"}, "link": None},
+                    {"name": "sampler_name", "type": "COMBO", "widget": {"name": "sampler_name"}, "link": None},
+                    {"name": "scheduler", "type": "COMBO", "widget": {"name": "scheduler"}, "link": None},
+                    {"name": "denoise", "type": "FLOAT", "widget": {"name": "denoise"}, "link": None},
+                ],
+                "outputs": [{"name": "LATENT", "type": "LATENT", "links": [7], "slot_index": 0}],
+                "widgets_values": [42, "fixed", 20, 7, "euler", "normal", 1.0],
+            },
+            {
+                "id": 6,
+                "type": "VAEDecode",
+                "mode": 0,
+                "inputs": [
+                    {"name": "samples", "type": "LATENT", "link": 7},
+                    {"name": "vae", "type": "VAE", "link": 8},
+                ],
+                "outputs": [{"name": "IMAGE", "type": "IMAGE", "links": [9], "slot_index": 0}],
+            },
+            {
+                "id": 7,
+                "type": "SaveImage",
+                "mode": 0,
+                "inputs": [
+                    {"name": "images", "type": "IMAGE", "link": 9},
+                    {"name": "filename_prefix", "type": "STRING", "widget": {"name": "filename_prefix"}, "link": None},
+                ],
+                "widgets_values": ["test"],
+            },
+        ],
+        "links": [
+            [1, 1, 1, 2, 0, "CLIP"],
+            [2, 1, 1, 3, 0, "CLIP"],
+            [3, 1, 0, 5, 0, "MODEL"],
+            [4, 2, 0, 5, 1, "CONDITIONING"],
+            [5, 3, 0, 5, 2, "CONDITIONING"],
+            [6, 4, 0, 5, 3, "LATENT"],
+            [7, 5, 0, 6, 0, "LATENT"],
+            [8, 1, 2, 6, 1, "VAE"],
+            [9, 6, 0, 7, 0, "IMAGE"],
+        ],
+    }
+
+
+def _api_workflow():
+    return json.loads(
+        (EXAMPLES / "video_minimax_h3_r2v_2ref_API.json").read_text(encoding="utf-8")
+    )
+
+
+def test_convert_dry_run_reports_and_stores_nothing(client):
+    payload = {
+        "files": [
+            {
+                "source_path": "3-图像生成/Qwen-Image-2.1/test_t2i.json",
+                "workflow_json": _ui_graph(),
+            }
+        ],
+        "include_workflows": True,
+    }
+    resp = client.post("/api/workflows/convert", json=payload)
+    assert resp.status_code == 200
+    body = resp.json()
+    assert body["total"] == 1 and body["ok"] == 1 and body["importable"] == 1
+    entry = body["files"][0]
+    assert entry["name"] == "test_t2i"
+    assert entry["workflow_json"]["5"]["inputs"]["seed"] == 42
+    assert entry["suggested"]["usage"] == "text2image"
+    assert entry["suggested"]["category"] == "image"
+    assert entry["suggested"]["model_family"] == "Qwen"
+    assert entry["suggested"]["media_out"] == ["image"]
+    # dry-run must not write anything
+    assert client.get("/api/workflows").json() == []
+
+
+def test_convert_needs_confirmation_is_flagged_not_runnable(client):
+    graph = _ui_graph()
+    graph["nodes"].append(
+        {
+            "id": 10,
+            "type": "MysteryCustomNode",
+            "mode": 0,
+            "inputs": [],
+            "outputs": [{"name": "IMAGE", "type": "IMAGE", "links": [30], "slot_index": 0}],
+            "widgets_values": [1, 2, 3],
+        }
+    )
+    graph["nodes"].append(
+        {
+            "id": 11,
+            "type": "PreviewImage",
+            "mode": 0,
+            "inputs": [{"name": "images", "type": "IMAGE", "link": 30}],
+            "widgets_values": ["p"],
+        }
+    )
+    graph["links"].append([30, 10, 0, 11, 0, "IMAGE"])
+    resp = client.post(
+        "/api/workflows/convert",
+        json={"files": [{"source_path": "x/mystery.json", "workflow_json": graph}]},
+    )
+    body = resp.json()
+    assert body["needs_confirmation"] == 1
+    assert body["importable"] == 0
+    assert "需人工确认" in body["files"][0]["skip_reason"]
+
+
+def test_import_batch_then_rerun_is_idempotent(client):
+    files = [
+        {
+            "source_path": "3-图像生成/Qwen-Image-2.1/test_t2i.json",
+            "workflow_json": _ui_graph(),
+        }
+    ]
+    first = client.post("/api/workflows/import-batch", json={"files": files})
+    assert first.status_code == 200
+    body = first.json()
+    assert body["imported"] == 1 and body["skipped"] == 0
+    row_id = body["imported_ids"][0]
+
+    # second run with identical file: conflict skip, no duplicates
+    second = client.post("/api/workflows/import-batch", json={"files": files})
+    body2 = second.json()
+    assert body2["imported"] == 0 and body2["skipped"] == 1
+    assert body2["skipped_files"][0]["reason"] == "conflict"
+    listing = client.get("/api/workflows").json()
+    assert len(listing) == 1
+
+    detail = client.get(f"/api/workflows/{row_id}").json()
+    assert detail["usage"] == "text2image"
+    assert detail["is_enabled"] is True
+    assert detail["category"] == "image"
+    assert detail["model_family"] == "Qwen"
+    assert detail["media_io"] == {"in": [], "out": ["image"]}
+    assert detail["source"] == "ui_convert"
+    assert detail["source_path"] == "3-图像生成/Qwen-Image-2.1/test_t2i.json"
+
+
+def test_import_batch_skips_needs_confirmation_files(client):
+    graph = _ui_graph()
+    graph["nodes"].append(
+        {
+            "id": 10,
+            "type": "MysteryCustomNode",
+            "mode": 0,
+            "inputs": [],
+            "outputs": [{"name": "IMAGE", "type": "IMAGE", "links": [30], "slot_index": 0}],
+            "widgets_values": [1, 2, 3],
+        }
+    )
+    graph["nodes"].append(
+        {
+            "id": 11,
+            "type": "PreviewImage",
+            "mode": 0,
+            "inputs": [{"name": "images", "type": "IMAGE", "link": 30}],
+            "widgets_values": ["p"],
+        }
+    )
+    graph["links"].append([30, 10, 0, 11, 0, "IMAGE"])
+    resp = client.post(
+        "/api/workflows/import-batch",
+        json={"files": [{"name": "mystery", "workflow_json": graph}]},
+    )
+    body = resp.json()
+    assert body["imported"] == 0
+    assert "需人工确认" in body["skipped_files"][0]["reason"]
+    assert client.get("/api/workflows").json() == []
+
+
+def test_warn_sample_imports_with_human_confirmation(client):
+    """A warn file (muted branch → input dropped) still imports when the
+    wizard supplies the settled usage — the manual-correction path."""
+    graph = _ui_graph()
+    graph["nodes"][2]["mode"] = 2  # mute the negative prompt branch
+    dry = client.post(
+        "/api/workflows/convert",
+        json={"files": [{"name": "warned", "workflow_json": graph}]},
+    ).json()
+    assert dry["warn"] == 1 and dry["importable"] == 1
+    resp = client.post(
+        "/api/workflows/import-batch",
+        json={"files": [{"name": "warned", "workflow_json": graph, "usage": "text2image"}]},
+    )
+    body = resp.json()
+    assert body["imported"] == 1
+    detail = client.get(f"/api/workflows/{body['imported_ids'][0]}").json()
+    assert detail["is_enabled"] is True
+    assert "negative" not in detail["workflow_json"]["5"]["inputs"]
+
+
+@pytest.mark.skipif(not EXAMPLES.is_dir(), reason="example library missing")
+def test_import_scan_dry_run_over_repo_library(client):
+    resp = client.post(
+        "/api/workflows/import-scan",
+        json={"root": str(EXAMPLES), "dry_run": True},
+    )
+    assert resp.status_code == 200
+    body = resp.json()
+    assert body["total"] == 146
+    assert body["fail"] == 0
+    assert body["ok"] + body["warn"] == 146
+    assert body["needs_confirmation"] > 0  # the 3 uncensored files stay honest
+    assert body["importable"] < body["total"]
+    # a dry scan must leave the DB untouched
+    assert client.get("/api/workflows").json() == []
+
+
+def test_import_scan_commit_from_tmp_directory(client, tmp_path):
+    (tmp_path / "sub").mkdir()
+    (tmp_path / "sub" / "demo.json").write_text(json.dumps(_ui_graph()), encoding="utf-8")
+    (tmp_path / "plain_api.json").write_text(json.dumps(_api_workflow()), encoding="utf-8")
+    (tmp_path / "not_a_workflow.json").write_text(json.dumps({"hello": 1}), encoding="utf-8")
+    resp = client.post(
+        "/api/workflows/import-scan",
+        json={"root": str(tmp_path), "dry_run": False},
+    )
+    body = resp.json()
+    # only the one UI file went through this pipeline; API-format and junk skipped
+    assert body["imported"] == 1
+    listing = client.get("/api/workflows").json()
+    assert len(listing) == 1
+    assert listing[0]["source_path"] == "sub/demo.json"
+    # rerun: idempotent
+    again = client.post(
+        "/api/workflows/import-scan",
+        json={"root": str(tmp_path), "dry_run": False},
+    ).json()
+    assert again["imported"] == 0
+    assert len(client.get("/api/workflows").json()) == 1
+
+
+def test_meta_view_has_metadata_but_no_full_json(client):
+    client.post(
+        "/api/workflows/import-batch",
+        json={
+            "files": [
+                {
+                    "source_path": "3-图像生成/Qwen-Image-2.1/test_t2i.json",
+                    "workflow_json": _ui_graph(),
+                    "tags": ["极速"],
+                }
+            ]
+        },
+    )
+    meta = client.get("/api/workflows", params={"view": "meta"}).json()
+    assert len(meta) == 1
+    row = meta[0]
+    assert "workflow_json" not in row
+    assert "input_schema" not in row
+    assert "output_schema" not in row
+    assert row["category"] == "image"
+    assert row["model_family"] == "Qwen"
+    assert row["media_io"] == {"in": [], "out": ["image"]}
+    assert row["tags"] == ["极速"]
+    assert row["favorite"] is False
+    assert row["needs_mapping"] is False
+
+
+def test_legacy_list_shape_and_old_records_unchanged(client):
+    """Old imports (API format via POST /api/workflows) keep working; the
+    legacy list still carries workflow_json and the new columns default."""
+    created = client.post(
+        "/api/workflows",
+        json={"name": "旧导入", "workflow_json": _api_workflow()},
+    )
+    assert created.status_code == 200
+    legacy = client.get("/api/workflows").json()
+    assert len(legacy) == 1
+    row = legacy[0]
+    assert isinstance(row["workflow_json"], dict)
+    assert "usage" in row and "output_map" in row
+    assert row["favorite"] is False
+    assert row["tags"] == []
+    assert row["media_io"] == {"in": [], "out": []}
+    meta = client.get("/api/workflows", params={"view": "meta"}).json()
+    assert meta[0]["needs_mapping"] is False or meta[0]["needs_mapping"] is True
+    assert meta[0]["source"] is None
+
+
+def test_favorite_tags_patch_and_touch(client):
+    wid = client.post(
+        "/api/workflows/import-batch",
+        json={"files": [{"name": "fav", "workflow_json": _ui_graph()}]},
+    ).json()["imported_ids"][0]
+    resp = client.patch(f"/api/workflows/{wid}", json={"favorite": True, "tags": ["高质量"]})
+    assert resp.status_code == 200
+    assert resp.json()["favorite"] is True
+    assert resp.json()["tags"] == ["高质量"]
+    touch = client.post(f"/api/workflows/{wid}/touch")
+    assert touch.status_code == 200
+    meta = client.get("/api/workflows", params={"view": "meta"}).json()
+    assert meta[0]["last_used_at"] is not None
+    assert meta[0]["favorite"] is True
+
+
+def test_migration_adds_columns_on_old_database(tmp_path):
+    """A pre-S2 database (workflows table without the metadata columns)
+    migrates in place; existing rows survive with defaults."""
+    db_path = tmp_path / "old.db"
+    conn = sqlite3.connect(db_path)
+    conn.executescript(
+        """
+        CREATE TABLE workflows (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            name TEXT NOT NULL,
+            kind TEXT NOT NULL CHECK(kind IN ('image', 'video')),
+            workflow_json TEXT NOT NULL,
+            description TEXT,
+            prompt_profile TEXT NOT NULL DEFAULT 'prose',
+            is_enabled INTEGER NOT NULL DEFAULT 1,
+            usage TEXT,
+            usage_source TEXT,
+            output_map TEXT,
+            output_map_source TEXT
+        );
+        INSERT INTO workflows (name, kind, workflow_json)
+            VALUES ('legacy', 'video', '{"1": {"class_type": "SaveImage", "inputs": {}}}');
+        """
+    )
+    conn.commit()
+    conn.close()
+
+    import asyncio
+
+    asyncio.run(migrate_db(db_path))
+    conn = sqlite3.connect(db_path)
+    cols = {r[1] for r in conn.execute("PRAGMA table_info(workflows)").fetchall()}
+    assert {
+        "category",
+        "model_family",
+        "media_io",
+        "tags",
+        "favorite",
+        "last_used_at",
+        "source",
+        "source_path",
+    } <= cols
+    row = conn.execute("SELECT name, favorite, tags, category FROM workflows").fetchone()
+    assert row == ("legacy", 0, None, None)
+    conn.close()
@@ -0,0 +1,235 @@
+"""HEL-636: the two-step import closes the loop — analyze → confirm → save,
+user corrections stick (reanalyze never overwrites them), pending workflows
+cannot generate, and legacy rows migrate losslessly."""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from calliope.config import settings
+from calliope.db import get_db, migrate_db
+
+FIXTURES = Path(__file__).parent / "fixtures" / "comfy_native"
+
+
+def _load(name: str) -> dict:
+    return json.loads((FIXTURES / name).read_text(encoding="utf-8"))
+
+
+AMBIGUOUS = {
+    "1": {"class_type": "PrimitiveStringMultiline", "inputs": {"value": "p"}},
+    "5": {"class_type": "LoadImage", "inputs": {"image": "x.png"}},
+    "7": {
+        "class_type": "SomeVideoSampler",
+        "inputs": {"prompt": ["1", 0], "image": ["5", 0]},
+    },
+    "9": {"class_type": "SaveVideo", "inputs": {"images": ["7", 0]}},
+}
+
+
+def test_analyze_returns_usage_evidence_and_problem(client):
+    wf = _load("qwen_image_t2i_API.json")
+    r = client.post("/api/workflows/analyze", json={"workflow_json": wf})
+    assert r.status_code == 200
+    body = r.json()
+    assert body["usage"] == "text2image"
+    assert body["usage_ambiguous"] is False and body["needs_mapping"] is False
+    assert any(o["kind"] == "image" for o in body["usage_evidence"]["outputs"])
+    assert body["usable_usage"] == [
+        "text2image", "image2image", "text2video", "image2video", "ref2video",
+    ]
+
+    r = client.post("/api/workflows/analyze", json={"workflow_json": AMBIGUOUS})
+    body = r.json()
+    assert body["usage"] is None and body["usage_ambiguous"] is True
+    assert "首帧还是参考图" in body["usage_problem"]
+    assert body["usage_evidence"]["image_slots"][0]["nodeId"] == "5"
+
+    bare = {"1": {"class_type": "Note", "inputs": {}}}
+    r = client.post("/api/workflows/analyze", json={"workflow_json": bare})
+    body = r.json()
+    assert "未在图中找到输出节点" in body["usage_problem"]
+
+
+def test_create_stores_auto_usage_and_kind(client):
+    r = client.post(
+        "/api/workflows",
+        json={"name": "自动·文生图", "workflow_json": _load("qwen_image_t2i_API.json")},
+    )
+    assert r.status_code == 200, r.text
+    wf = r.json()
+    assert wf["usage"] == "text2image" and wf["usage_source"] == "auto"
+    assert wf["kind"] == "image" and wf["is_enabled"] is True
+
+    r = client.post(
+        "/api/workflows",
+        json={"name": "自动·参考生视频", "workflow_json": _load("h3_ref2va_05_API.json")},
+    )
+    wf = r.json()
+    assert wf["usage"] == "ref2video" and wf["kind"] == "video"
+
+
+def test_ambiguous_import_stays_pending_and_cannot_generate(client):
+    r = client.post("/api/workflows", json={"name": "歧义", "workflow_json": AMBIGUOUS})
+    assert r.status_code == 200
+    wf = r.json()
+    assert wf["usage"] is None and wf["is_enabled"] is False
+
+    gen = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf["id"], "input_values": {"1": "x"}},
+    )
+    assert gen.status_code == 400
+    assert "已停用" in gen.json()["detail"]
+    assert client.get("/api/playground/jobs").json() == []
+
+
+def test_confirm_page_correction_roundtrip(client):
+    """analyze → user picks usage + fixes the slot role → create carries both."""
+    analyzed = client.post("/api/workflows/analyze", json={"workflow_json": AMBIGUOUS}).json()
+    assert analyzed["usage"] is None
+
+    slot = analyzed["usage_evidence"]["image_slots"][0]
+    schema = [
+        {**i, "role": "first_frame", "manual": True} if i["nodeId"] == slot["nodeId"] else i
+        for i in analyzed["inputs"]
+    ]
+    r = client.post(
+        "/api/workflows",
+        json={
+            "name": "确认·图生视频",
+            "workflow_json": AMBIGUOUS,
+            "usage": "image2video",
+            "usage_source": "user",
+            "input_schema": schema,
+        },
+    )
+    assert r.status_code == 200, r.text
+    wf = r.json()
+    assert wf["usage"] == "image2video" and wf["usage_source"] == "user"
+    assert wf["kind"] == "video" and wf["is_enabled"] is True
+    # the manual role sticks on read (and through re-derivation)
+    entry = next(i for i in wf["input_schema"] if i["nodeId"] == slot["nodeId"])
+    assert entry["role"] == "first_frame"
+
+    # reanalyze refreshes the auto schema but never the user's usage
+    r = client.post(f"/api/workflows/{wf['id']}/reanalyze")
+    assert r.status_code == 200
+    fresh = r.json()
+    assert fresh["usage"] == "image2video" and fresh["usage_source"] == "user"
+    entry = next(i for i in fresh["input_schema"] if i["nodeId"] == slot["nodeId"])
+    assert entry["role"] == "first_frame" and entry.get("manual") is True
+
+
+def test_patch_usage_confirms_pending_workflow(client):
+    r = client.post("/api/workflows", json={"name": "待确认", "workflow_json": AMBIGUOUS})
+    wid = r.json()["id"]
+    assert r.json()["is_enabled"] is False
+
+    r = client.patch(f"/api/workflows/{wid}", json={"usage": "ref2video"})
+    assert r.status_code == 200
+    wf = r.json()
+    assert wf["usage"] == "ref2video" and wf["usage_source"] == "user"
+    assert wf["kind"] == "video" and wf["is_enabled"] is True
+
+    listed = next(w for w in client.get("/api/workflows").json() if w["id"] == wid)
+    assert listed["usage"] == "ref2video"
+
+
+def test_reanalyze_upgrades_auto_usage_only(client):
+    r = client.post(
+        "/api/workflows",
+        json={"name": "重分析", "workflow_json": _load("qwen_image_t2i_API.json")},
+    )
+    wid = r.json()["id"]
+    r = client.patch(f"/api/workflows/{wid}", json={"usage": "image2image", "usage_source": "user"})
+    assert r.json()["usage"] == "image2image"
+
+    r = client.post(f"/api/workflows/{wid}/reanalyze")
+    assert r.json()["usage"] == "image2image"  # user decision survives
+    assert r.json()["usage_source"] == "user"
+
+
+def test_legacy_kind_only_callers_still_work(client):
+    """Old clients post kind without usage — determinate graphs classify, the
+    row is enabled and generation proceeds as before."""
+    r = client.post(
+        "/api/workflows",
+        json={"name": "旧调用", "kind": "image", "workflow_json": _load("qwen_image_t2i_API.json")},
+    )
+    assert r.status_code == 200
+    wf = r.json()
+    assert wf["usage"] == "text2image" and wf["is_enabled"] is True
+
+
+def test_migration_backfills_usage_and_keeps_history(client):
+    """A8: pre-HEL-636 rows (direct SQL, no usage) settle on re-migration;
+    determinate ones gain usage, ambiguous ones are parked disabled, and
+    existing jobs/history stay readable with their original kind."""
+    pid = client.post("/api/projects", json={"title": "存量项目", "idea": "x"}).json()["id"]
+    conn = get_db(settings.db_path)
+    try:
+        conn.execute(
+            "INSERT INTO workflows (name, kind, workflow_json, input_schema,"
+            " output_schema, is_enabled) VALUES (?, 'image', ?, '[]', '[]', 1)",
+            ("存量·文生图", json.dumps(_load("qwen_image_t2i_API.json"))),
+        )
+        conn.execute(
+            "INSERT INTO workflows (name, kind, workflow_json, input_schema,"
+            " output_schema, is_enabled) VALUES (?, 'video', ?, '[]', '[]', 1)",
+            ("存量·歧义", json.dumps(AMBIGUOUS)),
+        )
+        conn.execute(
+            "INSERT INTO jobs (project_id, kind, workflow_id, status, payload_json,"
+            " output_paths_json) VALUES (?, 'image', NULL, 'done', '{}', ?)",
+            (pid, json.dumps(["/old/result.png"])),
+        )
+        conn.commit()
+    finally:
+        conn.close()
+
+    import asyncio
+
+    asyncio.run(migrate_db(settings.db_path))  # idempotent re-run
+
+    wfs = {w["name"]: w for w in client.get("/api/workflows").json()}
+    assert wfs["存量·文生图"]["usage"] == "text2image"
+    assert wfs["存量·文生图"]["is_enabled"] is True
+    assert wfs["存量·歧义"]["usage"] is None
+    assert wfs["存量·歧义"]["is_enabled"] is False
+    assert wfs["存量·歧义"]["kind"] == "video"  # old kind semantics untouched
+
+    jobs = client.get(f"/api/jobs?project_id={pid}").json()
+    assert any(
+        j["status"] == "done" and j["kind"] == "image" and j["output_paths"] == ["/old/result.png"]
+        for j in jobs
+    )
+
+    # a third run changes nothing (idempotent)
+    asyncio.run(migrate_db(settings.db_path))
+    wfs2 = {w["name"]: w for w in client.get("/api/workflows").json()}
+    assert wfs2["存量·文生图"]["usage"] == "text2image"
+    assert wfs2["存量·歧义"]["usage"] is None
+
+
+def test_broken_qwen_import_stays_blocked_but_recorded(client):
+    """The damaged Qwen export classifies fine (image2image); its structural
+    lint errors still refuse generation — a broken file case, not a usage case."""
+    wf_json = _load("qwen21_edit_sage_API.json")
+    r = client.post(
+        "/api/workflows/analyze", json={"workflow_json": wf_json}
+    )
+    assert r.json()["usage"] == "image2image"
+    r = client.post(
+        "/api/workflows", json={"name": "损坏·Qwen", "kind": "image", "workflow_json": wf_json}
+    )
+    assert r.status_code == 200
+    wf = r.json()
+    assert wf["usage"] == "image2image" and wf["is_enabled"] is True
+    assert any(w["level"] == "error" for w in wf["warnings"])
+    gen = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf["id"], "input_values": {"4@prompt": "x"}},
+    )
+    assert gen.status_code == 400 and "重新导出" in gen.json()["detail"]
@@ -0,0 +1,272 @@
+"""L2 连接核查（HEL-643 批次 1）：导入/复查时用目标 ComfyUI 的 /object_info
+预检节点与模型可用性。全部基于 fake ComfyUI 的脚本化 /object_info，
+不针对任何固定 JSON 或模型名写死判定。"""
+
+from __future__ import annotations
+
+import json
+import socket
+from pathlib import Path
+
+import pytest
+
+from calliope.comfyui.client import clear_object_info_cache
+from calliope.comfyui.preflight import check_workflow_against
+from calliope.config import settings
+from tests.test_studio_generation import _url
+
+FIXTURES = Path(__file__).parent / "fixtures" / "comfy_native"
+
+
+def _load_05() -> dict:
+    return json.loads((FIXTURES / "h3_ref2va_05_API.json").read_text(encoding="utf-8"))
+
+
+def build_object_info(workflow: dict) -> dict:
+    """A catalogue where every widget value the JSON carries is legal.
+
+    String widgets become combos whose candidates include the workflow's own
+    value (merged across nodes of the same class); numbers/booleans are typed
+    inputs; wired inputs are link types — none of those can mismatch.
+    """
+    info: dict = {}
+    for node in workflow.values():
+        if not isinstance(node, dict):
+            continue
+        ct = str(node.get("class_type") or "")
+        if not ct:
+            continue
+        spec = info.setdefault(ct, {"input": {"required": {}}, "output": ["*"]})
+        required = spec["input"]["required"]
+        for name, val in (node.get("inputs") or {}).items():
+            if isinstance(val, str):
+                # Merge: two nodes of one class with different values → both legal.
+                if name in required and isinstance(required[name][0], list):
+                    if val not in required[name][0]:
+                        required[name][0] = [*required[name][0], val]
+                    continue
+                required[name] = [[val], {}]
+            elif name in required:
+                continue
+            elif isinstance(val, list):
+                required[name] = ["*", {}]
+            elif isinstance(val, bool):
+                required[name] = ["BOOLEAN", {}]
+            elif isinstance(val, (int, float)):
+                required[name] = ["NUMBER", {}]
+    return info
+
+
+@pytest.fixture(autouse=True)
+def _fresh_cache():
+    clear_object_info_cache()
+    yield
+    clear_object_info_cache()
+
+
+@pytest.fixture
+def endpoint_at(client, fake_comfy):  # noqa: F811
+    """Register a connection pointing at the fake server; yields its id."""
+    prev_eps = [dict(ep) for ep in (settings.comfyui_endpoints or [])]
+    prev_active = settings.comfyui_active_id
+    r = client.post(
+        "/api/comfyui/endpoints",
+        json={"name": "预检桩", "base_url": _url(fake_comfy), "auth_type": "none"},
+    )
+    assert r.status_code == 200, r.text
+    endpoints = r.json()["endpoints"]
+    ep = next(e for e in endpoints if e["base_url"] == _url(fake_comfy))
+    settings.comfyui_endpoints = [dict(e) for e in endpoints if e["base_url"] == _url(fake_comfy)]
+    settings.comfyui_active_id = ep["id"]
+    settings.apply_active_comfyui()
+    try:
+        yield ep["id"]
+    finally:
+        settings.comfyui_endpoints = prev_eps
+        settings.comfyui_active_id = prev_active
+        settings.apply_active_comfyui()
+
+
+# ---------------------------------------------------------------------------
+# Unit rules
+# ---------------------------------------------------------------------------
+
+
+def test_unit_missing_node_reported_with_node_context():
+    wf = {"900": {"class_type": "H3SLAAttention", "inputs": {"enabled": True},
+                  "_meta": {"title": "H3 SLA Attention"}}}
+    findings = check_workflow_against({"OtherNode": {}}, wf)
+    assert len(findings) == 1
+    f = findings[0]
+    assert f["code"] == "missing_node" and f["level"] == "error"
+    msg = f["message"]
+    assert "H3SLAAttention" in msg and "900" in msg and "H3 SLA Attention" in msg
+    assert "重新检查" in f["hint"]
+
+
+def test_unit_combo_value_not_in_list():
+    wf = {"127": {"class_type": "UNETLoader",
+                  "inputs": {"unet_name": "missing_model.safetensors", "weight_dtype": "default"}}}
+    info = {"UNETLoader": {"input": {"required": {
+        "unet_name": [["installed_model.safetensors"], {}],
+        "weight_dtype": [["default", "fp8"], {"upload": False}],
+    }}, "output": ["MODEL"]}}
+    findings = check_workflow_against(info, wf)
+    assert len(findings) == 1
+    f = findings[0]
+    assert f["code"] == "value_not_in_list" and f["node_id"] == "127"
+    assert "missing_model.safetensors" in f["message"] and "unet_name" in f["message"]
+    assert "模型文件" in f["message"]
+    assert "installed_model.safetensors" in f["hint"]
+
+
+def test_unit_upload_backed_and_wired_inputs_skipped():
+    wf = {
+        "1": {"class_type": "LoadImage", "inputs": {"image": "placeholder.png"}},
+        "2": {"class_type": "LoadVideo", "inputs": {"file": "clip.mp4"}},
+        "3": {"class_type": "LoadAudio", "inputs": {"audio": "voice.wav"}},
+        "4": {"class_type": "KSampler", "inputs": {"seed": 7, "model": ["9", 0]}},
+    }
+    info = {
+        "LoadImage": {"input": {"required": {"image": [["other.png"], {"image_upload": True}]}},
+                      "output": ["IMAGE"]},
+        "LoadVideo": {"input": {"required": {"file": [[], {}]}}, "output": ["IMAGE"]},
+        "LoadAudio": {"input": {"required": {"audio": [[], {}]}}, "output": ["AUDIO"]},
+        "KSampler": {"input": {"required": {"seed": ["INT", {}], "model": ["MODEL", {}]}},
+                     "output": ["IMAGE"]},
+    }
+    assert check_workflow_against(info, wf) == []
+
+
+# ---------------------------------------------------------------------------
+# Analyze with a target connection
+# ---------------------------------------------------------------------------
+
+
+def test_analyze_all_green_against_fake_object_info(client, endpoint_at, fake_comfy):
+    fake_comfy.object_info = build_object_info(_load_05())
+    r = client.post(
+        "/api/workflows/analyze",
+        json={"workflow_json": _load_05(), "endpoint_id": endpoint_at},
+    )
+    assert r.status_code == 200, r.text
+    check = r.json()["connection_check"]
+    assert check["reachable"] is True and check["ok"] is True
+    assert check["findings"] == []
+
+
+def test_analyze_reports_missing_custom_node(client, endpoint_at, fake_comfy):
+    info = build_object_info(_load_05())
+    info.pop("H3SLAAttention")
+    fake_comfy.object_info = info
+    r = client.post(
+        "/api/workflows/analyze",
+        json={"workflow_json": _load_05(), "endpoint_id": endpoint_at},
+    )
+    check = r.json()["connection_check"]
+    assert check["ok"] is False
+    missing = [f for f in check["findings"] if f["code"] == "missing_node"]
+    assert missing and "H3SLAAttention" in missing[0]["message"]
+    assert "900" in missing[0]["message"]
+
+
+def test_analyze_reports_missing_model_value(client, endpoint_at, fake_comfy):
+    info = build_object_info(_load_05())
+    # The server has a DIFFERENT unet installed than the one the JSON names.
+    info["UNETLoader"]["input"]["required"]["unet_name"] = [["another_unet.safetensors"], {}]
+    fake_comfy.object_info = info
+    r = client.post(
+        "/api/workflows/analyze",
+        json={"workflow_json": _load_05(), "endpoint_id": endpoint_at},
+    )
+    check = r.json()["connection_check"]
+    assert check["ok"] is False
+    bad = [f for f in check["findings"] if f["code"] == "value_not_in_list"]
+    assert bad and bad[0]["node_id"] == "127"
+    assert "minimax_h3_fused_refdelta" in bad[0]["message"]
+
+
+def test_unreachable_connection_degrades_to_unchecked(client):
+    # A port that nothing listens on: the endpoint resolves, the server doesn't.
+    s = socket.socket()
+    s.bind(("127.0.0.1", 0))
+    port = s.getsockname()[1]
+    s.close()
+    prev_eps = [dict(ep) for ep in (settings.comfyui_endpoints or [])]
+    prev_active = settings.comfyui_active_id
+    r = client.post(
+        "/api/comfyui/endpoints",
+        json={"name": "断连桩", "base_url": f"http://127.0.0.1:{port}", "auth_type": "none"},
+    )
+    endpoints = r.json()["endpoints"]
+    ep = next(e for e in endpoints if e["base_url"] == f"http://127.0.0.1:{port}")
+    settings.comfyui_endpoints = [dict(e) for e in endpoints if e["id"] == ep["id"]]
+    settings.comfyui_active_id = ep["id"]
+    settings.apply_active_comfyui()
+    try:
+        r = client.post(
+            "/api/workflows/analyze",
+            json={"workflow_json": _load_05(), "endpoint_id": ep["id"]},
+        )
+        check = r.json()["connection_check"]
+        assert check["reachable"] is False and check["ok"] is False
+        assert "无法核查" in check["message"]
+        assert check["findings"] == []
+    finally:
+        settings.comfyui_endpoints = prev_eps
+        settings.comfyui_active_id = prev_active
+        settings.apply_active_comfyui()
+
+
+# ---------------------------------------------------------------------------
+# Saved-workflow re-check + cache
+# ---------------------------------------------------------------------------
+
+
+def _create_workflow(client, workflow: dict, endpoint_id: str | None = None) -> int:
+    r = client.post(
+        "/api/workflows",
+        json={
+            "name": "预检工作流",
+            "workflow_json": workflow,
+            "usage": "ref2video",
+            **({"endpoint_id": endpoint_id} if endpoint_id else {}),
+        },
+    )
+    assert r.status_code == 200, r.text
+    return r.json()["id"]
+
+
+def test_saved_workflow_recheck_and_refresh(client, endpoint_at, fake_comfy):
+    wf_id = _create_workflow(client, _load_05(), endpoint_at)
+    info = build_object_info(_load_05())
+    info.pop("UNETLoader")
+    fake_comfy.object_info = info
+    r = client.post(f"/api/workflows/{wf_id}/check", json={})
+    assert r.status_code == 200, r.text
+    body = r.json()
+    assert body["ok"] is False and body["endpoint_id"] == endpoint_at
+    assert any(f["code"] == "missing_node" for f in body["findings"])
+
+    # User installs the node package, comes back and re-checks with refresh.
+    fake_comfy.object_info = build_object_info(_load_05())
+    r = client.post(f"/api/workflows/{wf_id}/check", json={"refresh": True})
+    body = r.json()
+    assert body["ok"] is True and body["findings"] == []
+
+
+def test_object_info_cached_within_ttl(client, endpoint_at, fake_comfy):
+    fake_comfy.object_info = build_object_info(_load_05())
+    for _ in range(2):
+        r = client.post(
+            "/api/workflows/analyze",
+            json={"workflow_json": _load_05(), "endpoint_id": endpoint_at},
+        )
+        assert r.json()["connection_check"]["ok"] is True
+    hits = [p for p in fake_comfy.requests if p == "/object_info"]
+    assert len(hits) == 1  # second call served from the 5-minute cache
+
+    wf_id = _create_workflow(client, _load_05())
+    client.post(f"/api/workflows/{wf_id}/check", json={"refresh": True})
+    hits = [p for p in fake_comfy.requests if p == "/object_info"]
+    assert len(hits) == 2  # manual refresh bypasses the TTL
@@ -0,0 +1,197 @@
+"""「测试工作流」（HEL-643 批次 2）端到端：真实队列 → fake ComfyUI → 产物隔离。
+
+测试任务与普通任务区分（jobs.origin）、dry-run 拒绝、幂等复用、
+保留策略与级联清理，全部对着 fake ComfyUI 跑真实链路。
+"""
+
+from __future__ import annotations
+
+import time
+from pathlib import Path
+
+from calliope.config import settings
+from calliope.queue.workflow_test import workflow_test_dir
+from tests.test_studio_generation import (
+    IMAGE_WORKFLOW,
+    PNG_1PX,
+    _real_run,
+)
+
+
+def _wait_terminal(client, job_id: int, timeout: float = 25.0) -> dict:
+    deadline = time.time() + timeout
+    while time.time() < deadline:
+        r = client.get(f"/api/jobs/{job_id}")
+        assert r.status_code == 200, r.text
+        job = r.json()
+        if job["status"] not in ("pending", "running"):
+            return job
+        time.sleep(0.4)
+    raise AssertionError(f"test job {job_id} did not finish in {timeout}s")
+
+
+def _create_workflow(client, workflow: dict, name: str = "可测工作流") -> int:
+    r = client.post(
+        "/api/workflows",
+        json={"name": name, "workflow_json": workflow, "usage": "text2image"},
+    )
+    assert r.status_code == 200, r.text
+    return r.json()["id"]
+
+
+def test_passing_test_downloads_real_output_to_scratch_dir(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_id = _create_workflow(client, IMAGE_WORKFLOW, name="通过用例")
+        r = client.post(
+            f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "测试提示词"}}
+        )
+        assert r.status_code == 200, r.text
+        body = r.json()
+        assert body["reused"] is False
+        job = _wait_terminal(client, body["job"]["id"])
+        assert job["status"] == "done", job.get("error")
+        assert job["origin"] == "workflow_test"
+        assert job["payload"]["source"] == "workflow_test"
+        assert job["phase"] == "finished"
+        # 真实拿到可下载输出才算通过：产物落在独立 scratch 目录
+        assert len(job["output_paths"]) >= 1
+        out = Path(job["output_paths"][0])
+        assert out.is_file() and out.read_bytes() == PNG_1PX
+        assert workflow_test_dir(wf_id) in out.parents
+        # 提交给 fake ComfyUI 的是补丁后的真实提示词
+        queued = fake_comfy.prompts[-1]["prompt"]
+        assert queued["1"]["inputs"]["text"] == "测试提示词"
+
+
+def test_tasks_list_shows_origin_but_playground_history_hides_it(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_id = _create_workflow(client, IMAGE_WORKFLOW, name="可见性用例")
+        r = client.post(f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "p"}})
+        job_id = r.json()["job"]["id"]
+        _wait_terminal(client, job_id)
+
+        listed = client.get("/api/jobs?limit=50").json()
+        mine = [j for j in listed if j["id"] == job_id]
+        assert mine and mine[0]["origin"] == "workflow_test"
+
+        pg = client.get("/api/playground/jobs").json()
+        assert all(j["id"] != job_id for j in pg), "test jobs must stay out of studio history"
+
+
+def test_failed_prompt_reports_chinese_reason(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_id = _create_workflow(client, IMAGE_WORKFLOW, name="排队被拒用例")
+        fake_comfy.fail_prompt = True
+        r = client.post(f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "p"}})
+        job = _wait_terminal(client, r.json()["job"]["id"])
+        assert job["status"] == "failed"
+        assert "拒绝执行" in (job["error"] or "")
+
+
+def test_no_output_does_not_pass(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_id = _create_workflow(client, IMAGE_WORKFLOW, name="无输出用例")
+        fake_comfy.drop_outputs = True
+        r = client.post(f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "p"}})
+        job = _wait_terminal(client, r.json()["job"]["id"])
+        assert job["status"] == "failed"
+        assert "没有返回任何图片或视频" in (job["error"] or "")
+
+
+def test_dry_run_setting_refuses_real_test(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        settings.dry_run = True  # conftest default; _real_run clears it — set again
+        try:
+            wf_id = _create_workflow(client, IMAGE_WORKFLOW, name="dry 拒绝用例")
+            r = client.post(f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "p"}})
+            assert r.status_code == 400
+            assert "Dry-run" in r.json()["detail"]
+        finally:
+            settings.dry_run = False
+
+
+def test_repeat_click_reuses_inflight_job(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_id = _create_workflow(client, IMAGE_WORKFLOW, name="幂等用例")
+        assert client.post("/api/jobs/pause").status_code == 200
+        try:
+            r1 = client.post(
+                f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "一次就好"}}
+            )
+            assert r1.status_code == 200 and r1.json()["reused"] is False
+            r2 = client.post(
+                f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "重复点击"}}
+            )
+            assert r2.status_code == 200
+            assert r2.json()["reused"] is True
+            assert r2.json()["job"]["id"] == r1.json()["job"]["id"]
+        finally:
+            client.post("/api/jobs/resume")
+        client.post(f"/api/jobs/{r1.json()['job']['id']}/cancel")
+        _wait_terminal(client, r1.json()["job"]["id"])
+
+
+def test_retention_keeps_newest_records_and_prunes_artifacts(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_id = _create_workflow(client, IMAGE_WORKFLOW, name="保留策略用例")
+        for i in range(7):
+            fake_comfy.out_name = f"t{i}.png"
+            r = client.post(
+                f"/api/workflows/{wf_id}/test",
+                json={"input_values": {"1": f"第{i}次"}},
+            )
+            _wait_terminal(client, r.json()["job"]["id"])
+        rows = client.get(f"/api/workflows/{wf_id}/tests").json()
+        assert len(rows) <= 5
+        kept_ids = {row["id"] for row in rows}
+        # 被清掉的旧记录其产物文件也一并删除
+        leftovers = [p for p in workflow_test_dir(wf_id).iterdir() if p.suffix == ".png"]
+        assert all(p.stem.lstrip("t").isdigit() and int(p.stem[1:]) >= 2 for p in leftovers)
+        assert len(kept_ids) == 5
+
+
+def test_clear_tests_and_workflow_delete_cascade(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_id = _create_workflow(client, IMAGE_WORKFLOW, name="清理用例")
+        r = client.post(f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "p"}})
+        _wait_terminal(client, r.json()["job"]["id"])
+        assert workflow_test_dir(wf_id).is_dir()
+
+        r = client.post(f"/api/workflows/{wf_id}/clear-tests")
+        assert r.status_code == 200 and r.json()["removed"] >= 1
+        assert not workflow_test_dir(wf_id).exists()
+        assert client.get(f"/api/workflows/{wf_id}/tests").json() == []
+
+        # 进行中的测试：先拒绝清除，取消后删除工作流级联清理
+        assert client.post("/api/jobs/pause").status_code == 200
+        try:
+            job_id = client.post(
+                f"/api/workflows/{wf_id}/test", json={"input_values": {"1": "p"}}
+            ).json()["job"]["id"]
+            r = client.post(f"/api/workflows/{wf_id}/clear-tests")
+            assert r.status_code == 409
+        finally:
+            client.post("/api/jobs/resume")
+        client.post(f"/api/jobs/{job_id}/cancel")
+        _wait_terminal(client, job_id)
+
+        # 工作流列表带出「上次测试」实时状态
+        listed = client.get("/api/workflows").json()
+        mine = [w for w in listed if w["id"] == wf_id][0]
+        assert mine["last_test"]["id"] == job_id
+
+        assert client.delete(f"/api/workflows/{wf_id}").status_code == 200
+        assert not workflow_test_dir(wf_id).exists()
+        assert client.get(f"/api/workflows/{wf_id}/tests").status_code == 404
+
+
+def test_last_test_summary_live_on_list(client, fake_comfy):
+    with _real_run(client, fake_comfy):
+        wf_a = _create_workflow(client, IMAGE_WORKFLOW, name="A")
+        wf_b = _create_workflow(client, IMAGE_WORKFLOW, name="B")
+        r = client.post(f"/api/workflows/{wf_a}/test", json={"input_values": {"1": "p"}})
+        done = _wait_terminal(client, r.json()["job"]["id"])
+        listed = {w["id"]: w for w in client.get("/api/workflows").json()}
+        assert listed[wf_a]["last_test"]["status"] == "done"
+        assert listed[wf_a]["last_test"]["output_count"] == len(done["output_paths"])
+        assert listed[wf_b]["last_test"] is None
@@ -7,7 +7,7 @@
 		"build": "vite build",
 		"preview": "vite preview",
 		"check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
-		"test": "node scripts/check-storage-ssr.mjs",
+		"test": "node scripts/check-storage-ssr.mjs && node scripts/check-random-uuid.mjs && node scripts/check-skill-frontmatter.mjs && node scripts/check-export-frame.mjs",
 		"lint": "prettier --check . && eslint .",
 		"format": "prettier --write ."
 	},
@@ -0,0 +1,156 @@
+#!/usr/bin/env node
+/**
+ * Pure-logic checks for 导出尾帧 (lib/media/exportFrame.ts): which media
+ * times get tried near the end, how the PNG is named, and when a sampled
+ * frame counts as black / empty. The decode + download path itself runs in
+ * a real browser (e2e/lastframe.mjs).
+ *
+ * Run with `npm test` (or `node scripts/check-export-frame.mjs`).
+ */
+import { dirname, join } from "node:path";
+import { fileURLToPath, pathToFileURL } from "node:url";
+
+const HERE = dirname(fileURLToPath(import.meta.url));
+const MODULE = join(HERE, "..", "src", "lib", "media", "exportFrame.ts");
+
+const {
+  tailSeekTimes,
+  videoBaseName,
+  frameFileName,
+  blankKind,
+  statusErrorCode,
+  TAIL_OFFSETS,
+} = await import(pathToFileURL(MODULE).href);
+
+let failures = 0;
+function check(name, cond, extra = "") {
+  if (cond) console.log(`ok    ${name}`);
+  else {
+    failures += 1;
+    console.error(`FAIL  ${name}${extra ? `  — ${extra}` : ""}`);
+  }
+}
+
+// ---- seek targets -------------------------------------------------------
+
+const t6 = tailSeekTimes(6.04);
+check(
+  "first try is ~1 frame before the end, never the end itself",
+  t6[0] < 6.04 && 6.04 - t6[0] <= 0.05 + 1e-9,
+  JSON.stringify(t6),
+);
+check(
+  "later tries step strictly further back",
+  t6.every((t, i) => i === 0 || t < t6[i - 1]),
+  JSON.stringify(t6),
+);
+check(
+  "tries stay within ~1s of the end",
+  t6.length === TAIL_OFFSETS.length && 6.04 - t6[t6.length - 1] <= 1 + 1e-9,
+);
+check(
+  "short clip clamps to 0 without duplicates",
+  JSON.stringify(tailSeekTimes(0.1)) === "[0.05,0]",
+);
+check(
+  "unknown / zero duration falls back to t=0",
+  JSON.stringify(tailSeekTimes(NaN)) === "[0]" &&
+    JSON.stringify(tailSeekTimes(0)) === "[0]",
+);
+
+// ---- file names ---------------------------------------------------------
+
+const api =
+  "/api/file?path=" +
+  encodeURIComponent(
+    "/opt/aigc-home/data/assets/1/video/05_ref2va_4step_sla_00035_.mp4",
+  );
+check(
+  "base name from /api/file?path=…",
+  videoBaseName(api) === "05_ref2va_4step_sla_00035_",
+);
+check(
+  "base name from a Windows path",
+  videoBaseName(
+    "/api/file?path=" +
+      encodeURIComponent("D:\\calliope\\assets\\镜头 01.webm"),
+  ) === "镜头 01",
+);
+check(
+  "base name from a plain URL",
+  videoBaseName("http://x.test/media/clip-9.mov?x=1") === "clip-9",
+);
+check(
+  "unsafe characters are replaced",
+  !/[:*?"<>|]/.test(
+    videoBaseName("/api/file?path=" + encodeURIComponent('a:b*c?"d<e>f|g.mp4')),
+  ),
+);
+check(
+  "blob URL without a name falls back to 'video'",
+  videoBaseName("blob:http://x.test/") === "video",
+);
+const fname = frameFileName(api, 5.958, "尾帧");
+check(
+  "PNG name names the video, the tag and the frame time",
+  fname === "05_ref2va_4step_sla_00035__尾帧_5.958s.png",
+  fname,
+);
+check(
+  "spaces in the tag become dashes",
+  frameFileName(api, 1, "last frame").includes("_last-frame_1.000s.png"),
+);
+
+// ---- black / empty detection -------------------------------------------
+
+function frame(n, rgba) {
+  const out = new Uint8ClampedArray(n * 4);
+  for (let i = 0; i < n; i++) out.set(rgba(i), i * 4);
+  return out;
+}
+const N = 64 * 64;
+check(
+  "fully transparent sample → empty",
+  blankKind(frame(N, () => [0, 0, 0, 0])) === "empty",
+);
+check(
+  "pure black → black",
+  blankKind(frame(N, () => [0, 0, 0, 255])) === "black",
+);
+check(
+  "near-black encoder noise (16..18) → black",
+  blankKind(frame(N, (i) => [16 + (i % 3), 16, 16, 255])) === "black",
+);
+check(
+  "mid-grey picture → not blank",
+  blankKind(frame(N, () => [128, 128, 128, 255])) === null,
+);
+check(
+  "dim but visible picture (≈50) → not blank",
+  blankKind(frame(N, () => [50, 48, 52, 255])) === null,
+);
+check(
+  "dark night scene with a bright highlight → not blank",
+  blankKind(
+    frame(N, (i) => (i === 100 ? [250, 240, 200, 255] : [4, 4, 6, 255])),
+  ) === null,
+);
+
+// ---- HTTP status classification ----------------------------------------
+
+check("404 → not-found", statusErrorCode(404) === "not-found");
+check(
+  "403 → forbidden",
+  statusErrorCode(403) === "forbidden" && statusErrorCode(401) === "forbidden",
+);
+check("500 → network", statusErrorCode(500) === "network");
+check(
+  "206 / 200 are not errors",
+  statusErrorCode(206) === null && statusErrorCode(200) === null,
+);
+
+if (failures) {
+  console.error(`\n${failures} export-frame check(s) failed.`);
+  process.exit(1);
+}
+console.log("export-frame checks passed.");
@@ -0,0 +1,172 @@
+#!/usr/bin/env node
+/**
+ * Regression guard for the "crypto.randomUUID is not a function" crash.
+ *
+ * `crypto.randomUUID()` only exists in secure contexts (HTTPS, localhost,
+ * 127.0.0.1). On a LAN HTTP page — e.g. http://192.168.200.15:8080 — the
+ * browser exposes `crypto` WITHOUT `randomUUID`, so any direct call throws
+ * and model saving dies. `crypto.getRandomValues()` has no secure-context
+ * requirement, so the shared helper can always mint a proper v4 UUID.
+ *
+ * Two layers of protection, mirroring check-storage-ssr.mjs:
+ *   1. behavioural — lib/ids.ts must produce unique, well-formed v4 UUIDs
+ *      under every crypto shape a browser can present, including the exact
+ *      insecure-context shape that produced the original crash.
+ *   2. static — direct `crypto.randomUUID(` calls are banned outside
+ *      lib/ids.ts, so the crash cannot be reintroduced by copying the old
+ *      pattern into a new page.
+ *
+ * Run with `npm test` (or `node scripts/check-random-uuid.mjs`).
+ */
+import { readFileSync, readdirSync } from "node:fs";
+import { dirname, join, relative } from "node:path";
+import { fileURLToPath, pathToFileURL } from "node:url";
+
+const HERE = dirname(fileURLToPath(import.meta.url));
+const ROOT = join(HERE, "..");
+const SRC = join(ROOT, "src");
+const HELPER = join(SRC, "lib", "ids.ts");
+
+let failures = 0;
+
+function fail(message) {
+  failures += 1;
+  console.error(`FAIL  ${message}`);
+}
+
+function ok(message) {
+  console.log(`ok    ${message}`);
+}
+
+const UUID_V4 =
+  /^[0-9a-f]{8}-[0-9a-f]{4}-4[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/;
+
+/** Capture the platform crypto before any test replaces it. */
+const REAL_CRYPTO = globalThis.crypto;
+
+/** Replace the global under test. Node's own binding may be getter-only. */
+function setGlobalCrypto(value) {
+  Object.defineProperty(globalThis, "crypto", {
+    value,
+    configurable: true,
+    writable: true,
+  });
+}
+
+const { randomId } = await import(pathToFileURL(HELPER).href);
+
+// ---- 1. behavioural ----------------------------------------------------
+
+// The exact shape a LAN HTTP browser presents: crypto WITHOUT randomUUID.
+// This is the configuration that produced the original crash.
+const insecureContextCrypto = {
+  getRandomValues: REAL_CRYPTO.getRandomValues.bind(REAL_CRYPTO),
+};
+setGlobalCrypto(insecureContextCrypto);
+try {
+  const ids = new Set(Array.from({ length: 1000 }, randomId));
+  if (ids.size !== 1000)
+    fail(`insecure context: duplicate ids (${1000 - ids.size} collisions)`);
+  else if (![...ids].every((id) => UUID_V4.test(id))) {
+    fail("insecure context: ids are not all well-formed v4 UUIDs");
+  } else {
+    ok("insecure-context crypto (getRandomValues only) yields unique v4 UUIDs");
+  }
+} catch (err) {
+  fail(`insecure-context crypto threw: ${err.message}`);
+}
+
+// crypto present but BOTH sources missing (exotic embed / ancient runtime).
+setGlobalCrypto({});
+try {
+  const ids = new Set(Array.from({ length: 1000 }, randomId));
+  if (ids.size !== 1000)
+    fail(`method-less crypto: duplicate ids (${1000 - ids.size} collisions)`);
+  else if (![...ids].every((id) => id.length >= 16)) {
+    fail("method-less crypto: ids too short to be collision-resistant");
+  } else {
+    ok(
+      "method-less crypto degrades to unique best-effort ids without throwing",
+    );
+  }
+} catch (err) {
+  fail(`method-less crypto threw: ${err.message}`);
+}
+
+// crypto entirely absent.
+setGlobalCrypto(undefined);
+try {
+  const ids = new Set(Array.from({ length: 1000 }, randomId));
+  if (ids.size !== 1000)
+    fail(`absent crypto: duplicate ids (${1000 - ids.size} collisions)`);
+  else ok("absent crypto degrades to unique best-effort ids without throwing");
+} catch (err) {
+  fail(`absent crypto threw: ${err.message}`);
+}
+
+// A fully-featured crypto (secure context / Node default) must still be used
+// directly — guards against a helper that ignores randomUUID.
+setGlobalCrypto(REAL_CRYPTO);
+try {
+  const probe = { used: false };
+  setGlobalCrypto({
+    randomUUID: () => {
+      probe.used = true;
+      return REAL_CRYPTO.randomUUID();
+    },
+    getRandomValues: REAL_CRYPTO.getRandomValues.bind(REAL_CRYPTO),
+  });
+  const id = randomId();
+  if (!probe.used) fail("native randomUUID available but not preferred");
+  else if (!UUID_V4.test(id)) fail(`secure-context id malformed: ${id}`);
+  else ok("native randomUUID preferred when available");
+} catch (err) {
+  fail(`secure-context crypto threw: ${err.message}`);
+} finally {
+  setGlobalCrypto(REAL_CRYPTO);
+}
+
+// ---- 2. static ---------------------------------------------------------
+
+const UNSAFE = /crypto\.randomUUID\s*\(/;
+const EXTENSIONS = [".ts", ".js", ".svelte"];
+
+function walk(dir) {
+  const found = [];
+  for (const entry of readdirSync(dir, { withFileTypes: true })) {
+    const full = join(dir, entry.name);
+    if (entry.isDirectory()) {
+      if (entry.name === "node_modules") continue;
+      found.push(...walk(full));
+    } else if (EXTENSIONS.some((ext) => entry.name.endsWith(ext))) {
+      found.push(full);
+    }
+  }
+  return found;
+}
+
+const offenders = [];
+for (const file of walk(SRC)) {
+  if (file === HELPER) continue; // the one place allowed to call the native API
+  const lines = readFileSync(file, "utf8").split("\n");
+  lines.forEach((line, i) => {
+    if (UNSAFE.test(line))
+      offenders.push(`${relative(ROOT, file)}:${i + 1}: ${line.trim()}`);
+  });
+}
+
+if (offenders.length) {
+  fail(
+    `direct \`crypto.randomUUID()\` call outside lib/ids.ts — use randomId() instead (insecure contexts crash on it):\n  ${offenders.join("\n  ")}`,
+  );
+} else {
+  ok("no direct `crypto.randomUUID()` calls in src/");
+}
+
+// ---- result ------------------------------------------------------------
+
+if (failures) {
+  console.error(`\n${failures} randomId/insecure-context check(s) failed.`);
+  process.exit(1);
+}
+console.log("\nrandomId insecure-context checks passed.");
@@ -0,0 +1,121 @@
+#!/usr/bin/env node
+/**
+ * Regression guard for the HEL-613 rework: the skill editor must load the
+ * SKILL.md BODY only — never the YAML frontmatter — so saving cannot wrap
+ * the file in a second frontmatter layer (each edit used to nest one more
+ * `---\nname: …` block into the content: the old strip regex anchored on
+ * `\A`, a Python-ism JS treats as a literal, so it never matched).
+ *
+ * Layers:
+ *   1. behavioural — stripSkillFrontmatter() must strip the exact block
+ *      shape the backend's render_skill_md writes, split at the right
+ *      boundary, be idempotent (the no-doubling invariant), and pass
+ *      plain bodies through unchanged.
+ *   2. round-trip — strip → re-render (frontmatter + body) → strip again
+ *      yields the identical body: editing twice adds zero layers.
+ *   3. static — the editor page must use the shared helper; the inline
+ *      `\A`-anchored regex cannot creep back in.
+ *
+ * Run with `npm test` (or `node scripts/check-skill-frontmatter.mjs`).
+ */
+import { readFileSync } from "node:fs";
+import { dirname, join } from "node:path";
+import { fileURLToPath, pathToFileURL } from "node:url";
+
+const HERE = dirname(fileURLToPath(import.meta.url));
+const ROOT = join(HERE, "..");
+
+let failed = false;
+function check(name, cond, detail = "") {
+  console.log(
+    `${cond ? "ok   " : "FAIL "} ${name}${cond ? "" : ` :: ${detail}`}`,
+  );
+  if (!cond) failed = true;
+}
+
+// Mirror of the backend's render_skill_md output shape
+// (calliope-backend/src/calliope/agent/skills_store.py).
+const rendered = [
+  "---",
+  "name: cyberpunk-style-kit",
+  'description: "赛博朋克风格词库"',
+  "version: 1.0.1",
+  "metadata:",
+  "  author: user",
+  "  tags: [neon, rain]",
+  "  type: template",
+  "---",
+  "",
+  "# 赛博朋克风格词库",
+  "neon, rain, hologram",
+].join("\n");
+
+const { stripSkillFrontmatter } = await import(
+  pathToFileURL(join(ROOT, "src/lib/skillFrontmatter.ts"))
+);
+
+// 1. Editor load: body only, no frontmatter.
+const body = stripSkillFrontmatter(rendered);
+check(
+  "edit load strips the frontmatter block",
+  !body.includes("name: cyberpunk-style-kit") &&
+    !body.trimStart().startsWith("---"),
+  JSON.stringify(body.slice(0, 40)),
+);
+check(
+  "edit load keeps the body",
+  body.includes("# 赛博朋克风格词库") && body.includes("neon, rain, hologram"),
+  JSON.stringify(body),
+);
+
+// 2. Strip splits at the exact boundary: frontmatter + body reassembles
+//    the file byte-identically (proves no body text was eaten).
+const fm = rendered.slice(0, rendered.length - body.length);
+check(
+  "strip boundary is exact",
+  fm + body === rendered && fm.trimEnd().endsWith("---"),
+  "frontmatter/body split drifted",
+);
+
+// 3. No-doubling invariant: idempotent strip + round-trip stability.
+check(
+  "strip is idempotent",
+  stripSkillFrontmatter(body) === body,
+  "second strip changed the body",
+);
+const savedAgain = fm + body; // render_skill_md re-wraps the same frontmatter
+check(
+  "second edit-save-reload adds no layer",
+  stripSkillFrontmatter(savedAgain) === body,
+  "round-trip grew the content",
+);
+
+// 4. Body without frontmatter passes through unchanged.
+const plain = "# Just a body\nwith text\n";
+check(
+  "plain body unchanged",
+  stripSkillFrontmatter(plain) === plain,
+  JSON.stringify(stripSkillFrontmatter(plain)),
+);
+
+// 5. Static: the page uses the shared helper; no `\A` regex remains.
+const page = readFileSync(
+  join(ROOT, "src/routes/agents/+page.svelte"),
+  "utf-8",
+);
+check(
+  "page imports the shared strip helper",
+  page.includes("stripSkillFrontmatter"),
+  "helper import missing",
+);
+check(
+  "no \\A-anchored strip regex left behind",
+  !/\\A---/.test(page),
+  "inline \\A regex present",
+);
+
+if (failed) {
+  console.error("skill frontmatter checks FAILED");
+  process.exit(1);
+}
+console.log("skill frontmatter checks passed.");
@@ -4,11 +4,11 @@
 		<meta charset="utf-8" />
 		<link rel="icon" href="%sveltekit.assets%/favicon.png" />
 		<meta name="viewport" content="width=device-width, initial-scale=1" />
-		<title>Calliope Lab</title>
+		<title>影工坊</title>
 		<link rel="preconnect" href="https://fonts.googleapis.com" />
 		<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
 		<link
-			href="https://fonts.googleapis.com/css2?family=Outfit:wght@400;500;600;700&family=IBM+Plex+Sans:wght@400;500;600&family=JetBrains+Mono:wght@400;500&display=swap"
+			href="https://fonts.googleapis.com/css2?family=Outfit:wght@400;500;600;700&family=IBM+Plex+Sans:wght@400;500;600&family=JetBrains+Mono:wght@400;500&family=Noto+Sans+SC:wght@400;500;600&display=swap"
 			rel="stylesheet"
 		/>
 		%sveltekit.head%
@@ -0,0 +1,72 @@
+import { t } from "$lib/i18n.svelte";
+
+/** Studio image slots (ref-upload-spec §3): PNG / JPG / WebP, ≤ 20MB each. */
+export const IMAGE_SLOT_ACCEPT =
+  ".png,.jpg,.jpeg,.webp,image/png,image/jpeg,image/webp";
+export const IMAGE_SLOT_MAX_BYTES = 20 * 1024 * 1024;
+const IMAGE_EXTS = [".png", ".jpg", ".jpeg", ".webp"];
+
+/** Reference video slots (HEL-643): MP4 / WebM / MOV, ≤ 500MB (upload cap). */
+export const VIDEO_SLOT_ACCEPT =
+  "video/mp4,video/webm,video/quicktime,.mp4,.webm,.mov";
+export const VIDEO_SLOT_MAX_BYTES = 500 * 1024 * 1024;
+const VIDEO_EXTS = [".mp4", ".webm", ".mov"];
+
+/** Reference audio slots (HEL-643): MP3 / WAV / M4A, ≤ 100MB. */
+export const AUDIO_SLOT_ACCEPT =
+  "audio/mpeg,audio/wav,audio/mp4,.mp3,.wav,.m4a";
+export const AUDIO_SLOT_MAX_BYTES = 100 * 1024 * 1024;
+const AUDIO_EXTS = [".mp3", ".wav", ".m4a"];
+
+export type MediaSlotKind = "image" | "video" | "audio";
+
+export function mediaSlotAccept(kind: MediaSlotKind): string {
+  if (kind === "video") return VIDEO_SLOT_ACCEPT;
+  if (kind === "audio") return AUDIO_SLOT_ACCEPT;
+  return IMAGE_SLOT_ACCEPT;
+}
+
+/** Why this file cannot fill a media slot of this kind (null = fine). */
+export function mediaFileProblem(
+  kind: MediaSlotKind,
+  file: { name: string; size: number },
+): string | null {
+  const dot = file.name.lastIndexOf(".");
+  const ext = dot >= 0 ? file.name.slice(dot).toLowerCase() : "";
+  const max =
+    kind === "video"
+      ? VIDEO_SLOT_MAX_BYTES
+      : kind === "audio"
+        ? AUDIO_SLOT_MAX_BYTES
+        : IMAGE_SLOT_MAX_BYTES;
+  if (kind === "video" && !VIDEO_EXTS.includes(ext))
+    return t("studio.errVideoFormat", { name: file.name });
+  if (kind === "audio" && !AUDIO_EXTS.includes(ext))
+    return t("studio.errAudioFormat", { name: file.name });
+  if (kind === "image" && !IMAGE_EXTS.includes(ext))
+    return t("studio.errImageFormat", { name: file.name });
+  if (file.size > max)
+    return kind === "image"
+      ? t("studio.errImageSize", { name: file.name })
+      : t("studio.errMediaSize", { name: file.name });
+  return null;
+}
+
+/** Why this file cannot fill an image slot (null = fine). */
+export function imageFileProblem(file: {
+  name: string;
+  size: number;
+}): string | null {
+  return mediaFileProblem("image", file);
+}
+
+export function formatBytes(bytes: number): string {
+  if (bytes >= 1024 * 1024) return `${(bytes / 1024 / 1024).toFixed(1)} MB`;
+  return `${Math.max(1, Math.round(bytes / 1024))} KB`;
+}
+
+/** Display name of an uploaded path (strips the uuid8- prefix the upload endpoint writes). */
+export function uploadBaseName(p: string): string {
+  const raw = p.split(/[/\\]/).pop() ?? p;
+  return /^[0-9a-f]{8}-/.test(raw) ? raw.slice(9) : raw;
+}
@@ -9,7 +9,7 @@ const TEXT_AREA = new Set([
 	'PrimitiveString',
 ]);
 const NUMBER = new Set(['INT', 'FLOAT', 'PrimitiveInt', 'PrimitiveFloat', 'KSampler', 'KSamplerAdvanced']);
-const IMAGE = new Set(['LoadImage', 'ImageLoader', 'ETN_LoadImageBase64']);
+const IMAGE = new Set(['LoadImage', 'LoadImageMask', 'ImageLoader', 'ETN_LoadImageBase64']);
 const IMAGE_URL = new Set(['Load Image From Url (mtb)']);
 const AUDIO = new Set(['LoadAudio', 'VHS_LoadAudio']);
 const VIDEO = new Set(['LoadVideo', 'VHS_LoadVideo', 'VHS_LoadVideoPath']);
@@ -44,6 +44,7 @@ export function compactInputValues(
 	for (const [k, v] of Object.entries(values)) {
 		if (v === null || v === undefined) continue;
 		if (typeof v === 'string' && !v.trim()) continue;
+		if (Array.isArray(v) && !v.length) continue;
 		out[k] = v;
 	}
 	return out;
@@ -0,0 +1,41 @@
+/**
+ * ComfyUI ResolutionSelector (comfy_extras/nodes_resolution.py) — same
+ * ratios and rounding, so the size shown is the size ComfyUI renders.
+ */
+const RATIOS: Record<string, [number, number]> = {
+	'1:1 (Square)': [1, 1],
+	'2:3 (Portrait Photo)': [2, 3],
+	'3:2 (Photo)': [3, 2],
+	'3:4 (Portrait Standard)': [3, 4],
+	'4:3 (Standard)': [4, 3],
+	'9:16 (Portrait Widescreen)': [9, 16],
+	'16:9 (Widescreen)': [16, 9],
+	'21:9 (Ultrawide)': [21, 9],
+};
+
+/** Python's round(): halves go to the even neighbour. */
+function roundHalfEven(x: number): number {
+	const f = Math.floor(x);
+	const diff = x - f;
+	if (diff > 0.5) return f + 1;
+	if (diff < 0.5) return f;
+	return f % 2 === 0 ? f : f + 1;
+}
+
+export function resolutionSelectorSize(
+	aspectRatio: string,
+	megapixels: number,
+	multiple: number,
+): { width: number; height: number } | null {
+	const ratio = RATIOS[aspectRatio];
+	if (!ratio || !Number.isFinite(megapixels) || megapixels <= 0) return null;
+	const [w, h] = ratio;
+	const m = Math.max(1, Math.floor(multiple) || 8);
+	const scale = Math.sqrt((megapixels * 1024 * 1024) / (w * h));
+	return { width: roundHalfEven((w * scale) / m) * m, height: roundHalfEven((h * scale) / m) * m };
+}
+
+/** "16:9 (Widescreen)" → "16:9". */
+export function ratioShort(option: string): string {
+	return option.split(' ')[0] ?? option;
+}
@@ -1,6 +1,27 @@
-export type ComfyInputKind = 'text' | 'textarea' | 'number' | 'image' | 'image_url' | 'audio' | 'video';
+export type ComfyInputKind =
+	| 'text'
+	| 'textarea'
+	| 'number'
+	| 'select'
+	| 'image'
+	| 'image_url'
+	| 'audio'
+	| 'video'
+	/** Ordered list of images for one Autogrow input (e.g. H3 ref_images, min…max). */
+	| 'image_list'
+	/** Ordered lists of videos / audios for Autogrow inputs (HEL-643). */
+	| 'video_list'
+	| 'audio_list';
 export type ComfyOutputKind = 'image' | 'video' | 'other';

+/** Structural finding on an imported workflow; `error` blocks generation. */
+export interface WorkflowWarning {
+	level: 'error' | 'warning';
+	code: string;
+	node_id: string;
+	message: string;
+}
+
 export interface ComfyDynamicInput {
 	nodeId: string;
 	label: string;
@@ -9,14 +30,118 @@ export interface ComfyDynamicInput {
 	kind: ComfyInputKind;
 	defaultValue?: string | number;
 	required: boolean;
+	/** Inferred from node classes/wiring — the workflow carries no (Input) tags. */
+	auto?: boolean;
+	/** ComfyUI widget limits (number kind). */
+	min?: number;
+	max?: number;
+	step?: number;
+	integer?: boolean;
+	/** Allowed values (select kind). */
+	options?: string[];
+	/** On a ResolutionSelector aspect_ratio entry: its megapixels key and rounding multiple. */
+	resolution?: { megapixels: string; multiple: number };
+	/** Official usage-limits hint key for known media groups (HEL-643, e.g. 'minimax_h3_ref2va'). */
+	media_hint?: string;
 }

 export interface ComfyDynamicOutput {
 	nodeId: string;
 	label: string;
-	/** Role from title tag, e.g. (Output:image) → "image". */
+	/** Role from title tag, e.g. (Output:image). */
 	role?: string | null;
-	kind: ComfyOutputKind;
+	/** Null while an unknown custom node awaits the user's media-type pick. */
+	kind: ComfyOutputKind | null;
+	/** Untagged detection: node class + which rule typed it. */
+	class_type?: string;
+	evidence?: 'registry' | 'class_name_match' | 'unknown_node';
+	/** Form default for unknown candidates — never auto-applied. */
+	suggested_kind?: 'image' | 'video' | null;
+}
+
+/** One entry of a workflow's confirmed output mapping (HEL-638). */
+export interface WorkflowOutputMapEntry {
+	nodeId: string;
+	kind: 'image' | 'video';
+	label?: string;
+	class_type?: string;
+}
+
+/** The five workflow usages the studio distinguishes (HEL-636). */
+export type WorkflowUsage =
+	| 'text2image'
+	| 'image2image'
+	| 'text2video'
+	| 'image2video'
+	| 'ref2video';
+
+export const WORKFLOW_USAGES: WorkflowUsage[] = [
+	'text2image',
+	'image2image',
+	'text2video',
+	'image2video',
+	'ref2video',
+];
+
+/** Which usages each generate page serves. */
+export const USAGE_BY_KIND: Record<'image' | 'video', WorkflowUsage[]> = {
+	image: ['text2image', 'image2image'],
+	video: ['text2video', 'image2video', 'ref2video'],
+};
+
+/** One L2 connection-check finding against a live ComfyUI (HEL-643). */
+export interface PreflightFinding {
+	level: 'error' | 'warn' | 'info' | 'ok';
+	code: string;
+	node_id?: string;
+	node_title?: string | null;
+	message: string;
+	hint?: string | null;
+}
+
+/** Result of checking a workflow against a target connection's /object_info. */
+export interface WorkflowConnectionCheck {
+	endpoint_id: string | null;
+	endpoint_name: string | null;
+	base_url?: string | null;
+	/** False when any error-level finding exists (or the server was unreachable). */
+	ok: boolean;
+	/** False → 无法核查 (server down): honest, non-blocking. */
+	reachable: boolean;
+	findings: PreflightFinding[];
+	message?: string | null;
+}
+
+/** Slim live record of a workflow's latest test run (HEL-643). */
+export interface WorkflowLastTest {
+	id: number;
+	status: string;
+	phase: string | null;
+	error: string | null;
+	created_at: string;
+	completed_at: string | null;
+	output_count: number;
+}
+
+/** Result of POST /api/workflows/analyze (import confirm step 1). */
+export interface WorkflowAnalyzeResult {
+	inputs: ComfyDynamicInput[];
+	outputs: ComfyDynamicOutput[];
+	suggested_profile?: string;
+	warnings?: WorkflowWarning[];
+	usage: WorkflowUsage | null;
+	usage_ambiguous: boolean;
+	needs_mapping: boolean;
+	usage_problem: string | null;
+	usage_evidence: {
+		outputs: ComfyDynamicOutput[];
+		image_slots: Array<{ nodeId: string; label: string; kind: string; role: string | null }>;
+		video_slots: Array<{ nodeId: string; label: string; kind: string; role: string | null }>;
+		summary: string[];
+	};
+	usable_usage: WorkflowUsage[];
+	/** Present when analyze was called with a target endpoint (HEL-643 L2). */
+	connection_check?: WorkflowConnectionCheck;
 }

 export interface WorkflowNode {
@@ -29,12 +154,139 @@ export interface Workflow {
 	id: number;
 	name: string;
 	kind: 'image' | 'video';
+	/** Five-way usage (HEL-636); null = pending human confirmation. */
+	usage?: WorkflowUsage | null;
+	usage_source?: 'auto' | 'user' | null;
 	workflow_json: Record<string, WorkflowNode>;
 	input_schema: ComfyDynamicInput[];
 	output_schema: ComfyDynamicOutput[];
 	description: string | null;
 	prompt_profile: string;
 	is_enabled: boolean;
+	/** Bound ComfyUI connection id (settings.comfyui_endpoints); null = active. */
+	endpoint_id?: string | null;
+	warnings?: WorkflowWarning[];
+	/** HEL-638: confirmed output mapping ({nodeId, kind}); null/empty = pending. */
+	output_map?: WorkflowOutputMapEntry[] | null;
+	output_map_source?: 'auto' | 'user' | null;
+	/** True when the graph has unknown output nodes needing designation. */
+	needs_mapping?: boolean;
+	/** Latest test-run record, queried live (HEL-643); null = never tested. */
+	last_test?: WorkflowLastTest | null;
+}
+
+/**
+ * HEL-682: metadata-only row (GET /api/workflows?view=meta) — the whole
+ * point is browsing 150+ workflows without downloading workflow_json.
+ */
+export interface WorkflowMediaIO {
+	in: string[];
+	out: string[];
+}
+
+export interface WorkflowMeta {
+	id: number;
+	name: string;
+	kind: 'image' | 'video';
+	usage: WorkflowUsage | null;
+	usage_source: 'auto' | 'user' | null;
+	is_enabled: boolean;
+	category: string | null;
+	model_family: string | null;
+	media_io: WorkflowMediaIO;
+	tags: string[];
+	favorite: boolean;
+	last_used_at: string | null;
+	description: string | null;
+	source: string | null;
+	source_path: string | null;
+	prompt_profile: string;
+	created_at: string;
+	endpoint_id: string | null;
+	output_map_source: 'auto' | 'user' | null;
+	/** Cheap pending check: usage or output mapping not settled yet. */
+	needs_mapping: boolean;
+}
+
+/** One UI-format file submitted to the batch convert/import pipeline. */
+export interface WorkflowUIFileInput {
+	name?: string;
+	source_path?: string;
+	workflow_json: Record<string, unknown>;
+	usage?: WorkflowUsage;
+	description?: string;
+	tags?: string[];
+}
+
+export interface WorkflowConvertIssue {
+	node_id: string;
+	code: string;
+	level: 'error' | 'warning';
+	message: string;
+}
+
+export interface WorkflowConvertSuggested {
+	kind: 'image' | 'video';
+	usage: WorkflowUsage | null;
+	usage_ambiguous: boolean;
+	category: string | null;
+	category_label: string | null;
+	model_family: string | null;
+	media_in: string[];
+	media_out: string[];
+	description: string | null;
+}
+
+export interface WorkflowPreflightFinding {
+	level: string;
+	code: string;
+	node_id?: string;
+	node_title?: string;
+	message: string;
+	hint?: string;
+}
+
+export interface WorkflowConvertFileReport {
+	name: string;
+	source_path: string | null;
+	status: 'ok' | 'warn' | 'fail';
+	needs_confirmation: boolean;
+	issues: WorkflowConvertIssue[];
+	importable: boolean;
+	skip_reason?: string | null;
+	suggested?: WorkflowConvertSuggested;
+	preflight?: {
+		endpoint_id: string | null;
+		ok: boolean;
+		findings: WorkflowPreflightFinding[];
+	};
+}
+
+/** Dry-run report (POST /convert, POST /import-scan with dry_run). */
+export interface WorkflowConvertReport {
+	total: number;
+	ok: number;
+	warn: number;
+	fail: number;
+	needs_confirmation: number;
+	importable: number;
+	files: WorkflowConvertFileReport[];
+}
+
+export interface WorkflowImportFileReport extends WorkflowConvertFileReport {
+	result?: 'imported' | 'skipped' | 'failed';
+	id?: number;
+	existing_id?: number;
+}
+
+/** Commit result (POST /import-batch, POST /import-scan without dry_run). */
+export interface WorkflowImportResult {
+	total: number;
+	imported: number;
+	skipped: number;
+	imported_ids: number[];
+	skipped_files: { name: string; source_path: string | null; reason: string | null }[];
+	files: WorkflowImportFileReport[];
 }

 export interface Job {
@@ -53,6 +305,12 @@ export interface Job {
 	started_at: string | null;
 	completed_at: string | null;
 	retry_count: number;
+	/** Prompt id ComfyUI accepted this job under (null until /prompt succeeds). */
+	comfy_prompt_id?: string | null;
+	/** connecting · comfy_queued · comfy_running · saving · finished · dry_run */
+	phase?: string | null;
+	/** 'user' (normal generation) or 'workflow_test' (HEL-643 test run). */
+	origin?: string;
 }

 export interface SceneVideoSettings {
@@ -1,614 +0,0 @@
-<script lang="ts">
-	import { createQuery } from '@tanstack/svelte-query';
-	import { toStore } from 'svelte/store';
-	import { jobsApi, type Job } from '$lib/api';
-	import type { CalliopeEvent, EventConnectionState } from '$lib/events';
-	import { t } from '$lib/i18n.svelte';
-	import JobRow from './JobRow.svelte';
-	import Button from './ui/Button.svelte';
-	import Icon from './ui/Icon.svelte';
-
-	interface Props {
-		logs: CalliopeEvent[];
-		projectId: number;
-		/** Real SSE connection state from events.ts — drives the live pip. */
-		connState: EventConnectionState;
-		collapsed?: boolean;
-		onToggle?: () => void;
-	}
-
-	let { logs, projectId, connState, collapsed = false, onToggle }: Props = $props();
-
-	type Tone = 'info' | 'ok' | 'warn' | 'err' | 'work';
-
-	type LogEntry = {
-		key: string;
-		ts: string;
-		title: string;
-		detail: string;
-		tone: Tone;
-		type: string;
-	};
-
-	function str(v: unknown): string {
-		if (v == null) return '';
-		if (typeof v === 'string') return v;
-		if (typeof v === 'number' || typeof v === 'boolean') return String(v);
-		return '';
-	}
-
-	function formatEvent(ev: CalliopeEvent, index: number): LogEntry | null {
-		// Poll spam — progress lives in the jobProgress store, not the log
-		if (ev.type === 'job.progress') return null;
-
-		const d = ev.data ?? {};
-		const msg = str(d.message).trim();
-		const kind = str(d.kind);
-		const jobId = d.job_id != null ? `#${d.job_id}` : '';
-		const err = str(d.error).trim();
-		const paths = Array.isArray(d.paths) ? d.paths.length : 0;
-		const outputs = Array.isArray(d.outputs) ? d.outputs.length : 0;
-		const time = ev.ts?.includes('T') ? ev.ts.slice(11, 19) : ev.ts?.slice(0, 8) || '';
-
-		let title = ev.type;
-		let detail = msg;
-		let tone: Tone = 'info';
-
-		switch (ev.type) {
-			case 'agent.thinking':
-				title = t('activity.agentWorking');
-				detail = msg || t('activity.working');
-				tone = 'work';
-				break;
-			case 'story.ready':
-				title = t('activity.storyReady');
-				detail = msg || t('activity.storylineDrafted');
-				tone = 'ok';
-				break;
-			case 'job.created':
-				title = t('activity.queued');
-				detail = msg || [kind, jobId].filter(Boolean).join(' ');
-				tone = 'info';
-				break;
-			case 'job.started':
-				title = t('activity.running');
-				detail = msg || [kind, jobId].filter(Boolean).join(' ');
-				tone = 'work';
-				break;
-			case 'job.completed':
-				title = t('activity.finished');
-				detail =
-					msg ||
-					[kind, jobId, outputs ? t('activity.files', { count: outputs }) : '']
-						.filter(Boolean)
-						.join(' · ');
-				tone = 'ok';
-				break;
-			case 'job.failed':
-				title = t('activity.failed');
-				detail = err || msg || [kind, jobId].filter(Boolean).join(' ');
-				tone = 'err';
-				break;
-			case 'asset.ready':
-				title = t('activity.assetReady');
-				detail = msg || (paths ? t('activity.filesSaved', { count: paths }) : t('activity.outputSaved'));
-				tone = 'ok';
-				break;
-			case 'job.deleted':
-				title = t('activity.removed');
-				detail = msg || jobId || t('activity.jobDeleted');
-				tone = 'warn';
-				break;
-			default:
-				title = ev.type.replace(/\./g, ' · ');
-				detail = msg || err || kind;
-				tone = 'info';
-		}
-
-		return {
-			key: `${ev.ts}-${ev.type}-${index}`,
-			ts: time,
-			title,
-			detail,
-			tone,
-			type: ev.type,
-		};
-	}
-
-	const entries = $derived.by(() => {
-		const raw = logs
-			.slice(-120)
-			.map((ev, i) => formatEvent(ev, i))
-			.filter((e): e is LogEntry => e != null);
-
-		// Collapse consecutive identical agent lines
-		const collapsed: LogEntry[] = [];
-		for (const e of raw) {
-			const prev = collapsed[collapsed.length - 1];
-			if (prev && prev.type === e.type && prev.detail === e.detail) {
-				continue;
-			}
-			collapsed.push(e);
-		}
-		return collapsed.slice(-60).reverse();
-	});
-
-	// Same query key as QueueStage — refreshed by SSE invalidation from the
-	// project page (job.* events), not by polling.
-	const jobsQuery = createQuery(
-		toStore(() => ({
-			queryKey: ['jobs', projectId],
-			queryFn: () => jobsApi.list(projectId),
-		})),
-	);
-
-	const allJobs = $derived(($jobsQuery.data ?? []) as Job[]);
-
-	function activeWeight(job: Job): number {
-		if (job.status === 'running') return 0;
-		if (job.status === 'pending') return 1;
-		return 2;
-	}
-
-	// Active jobs first, then most recent — capped so the log keeps room.
-	const queueRows = $derived(
-		[...allJobs].sort((a, b) => activeWeight(a) - activeWeight(b) || b.id - a.id).slice(0, 6),
-	);
-
-	const stats = $derived({
-		running: allJobs.filter((j) => j.status === 'running').length,
-		queued: allJobs.filter((j) => j.status === 'pending').length,
-		done: allJobs.filter((j) => j.status === 'done').length,
-		failed: allJobs.filter((j) => j.status === 'failed').length,
-	});
-	const busyCount = $derived(stats.running + stats.queued);
-
-	const connected = $derived(connState === 'open');
-</script>
-
-<aside class="activity" class:collapsed aria-label={t('activity.title')}>
-	{#if collapsed}
-		<button
-			type="button"
-			class="rail-toggle"
-			onclick={onToggle}
-			aria-expanded="false"
-			title={t('activity.show')}
-		>
-			<span class="pip rail-pip" class:live={connected} class:reconnecting={connState === 'reconnecting'} aria-hidden="true"></span>
-			{#if busyCount > 0}
-				<span class="rail-count" title={t('activity.busyCount', { count: busyCount })}>{busyCount}</span>
-			{/if}
-			<span class="rail-label">{t('activity.title')}</span>
-			<span class="rail-chevron" aria-hidden="true">‹</span>
-		</button>
-	{:else}
-		<header class="head">
-			<div class="head-title">
-				<span class="pip" class:live={connected} class:reconnecting={connState === 'reconnecting'} aria-hidden="true"></span>
-				<strong>{t('activity.title')}</strong>
-				{#if connState === 'reconnecting'}
-					<span class="conn-state warn">{t('activity.reconnecting')}</span>
-				{:else if connState === 'connecting'}
-					<span class="conn-state">{t('activity.connecting')}</span>
-				{/if}
-			</div>
-			<Button variant="ghost" size="sm" onclick={onToggle} title={t('activity.hide')}>
-				{t('activity.hide')} <Icon name="chevron-right" size={13} />
-			</Button>
-		</header>
-
-		<div class="body">
-			<section class="queue" aria-label={t('activity.queue')}>
-				<div class="section-head">
-					<p class="eyebrow">{t('activity.queue')}</p>
-				</div>
-				{#if queueRows.length === 0}
-					<p class="queue-empty">{t('activity.queueIdle')}</p>
-				{:else}
-					<div class="job-list">
-						{#each queueRows as job (job.id)}
-							<JobRow {job} />
-						{/each}
-					</div>
-				{/if}
-				<div class="stats-strip" aria-label={t('activity.queueStats')}>
-					<span><span class="sd sd-running" aria-hidden="true"></span>{stats.running} {t('activity.running').toLowerCase()}</span>
-					<span><span class="sd sd-queued" aria-hidden="true"></span>{stats.queued} {t('activity.queued').toLowerCase()}</span>
-					<span><span class="sd sd-done" aria-hidden="true"></span>{stats.done} {t('activity.done')}</span>
-					<span><span class="sd sd-failed" aria-hidden="true"></span>{stats.failed} {t('activity.failed').toLowerCase()}</span>
-				</div>
-			</section>
-
-			<section class="log-section" aria-label={t('activity.agentLog')}>
-				<p class="eyebrow">{t('activity.agentLog')}</p>
-				{#if entries.length === 0}
-					<div class="empty">
-						<p>{t('activity.quiet')}</p>
-						<p class="hint">{t('activity.quietHint')}</p>
-					</div>
-				{:else}
-					<ul class="log">
-						{#each entries as ev (ev.key)}
-							<li class="entry tone-{ev.tone}">
-								<span class="dot" aria-hidden="true"></span>
-								<div class="meta">
-									<div class="row">
-										<span class="title">{ev.title}</span>
-										<time class="ts" datetime={ev.ts}>{ev.ts}</time>
-									</div>
-									{#if ev.detail}
-										<p class="detail">{ev.detail}</p>
-									{/if}
-								</div>
-							</li>
-						{/each}
-					</ul>
-				{/if}
-			</section>
-		</div>
-	{/if}
-</aside>
-
-<style>
-	.activity {
-		--panel-w: 320px;
-		--rail-w: 44px;
-		width: var(--panel-w);
-		flex-shrink: 0;
-		display: flex;
-		flex-direction: column;
-		min-height: 0;
-		height: 100%;
-		border-left: 1px solid var(--border);
-		background:
-			linear-gradient(180deg, rgba(139, 92, 246, 0.06) 0%, transparent 120px),
-			var(--bg-surface);
-		overflow: hidden;
-		transition: width 0.2s ease;
-	}
-
-	.activity.collapsed {
-		width: var(--rail-w);
-		background: var(--bg-surface);
-	}
-
-	.rail-toggle {
-		display: flex;
-		flex-direction: column;
-		align-items: center;
-		justify-content: flex-start;
-		gap: 12px;
-		width: 100%;
-		height: 100%;
-		margin: 0;
-		padding: 16px 0;
-		border: none;
-		background: transparent;
-		color: var(--text-secondary);
-		cursor: pointer;
-		overflow: hidden;
-	}
-
-	.rail-toggle:hover {
-		background: rgba(139, 92, 246, 0.08);
-		color: var(--text-primary);
-	}
-
-	.rail-toggle:focus-visible {
-		outline: 2px solid var(--accent);
-		outline-offset: -2px;
-	}
-
-	.rail-label {
-		writing-mode: vertical-rl;
-		transform: rotate(180deg);
-		font-family: var(--font-display);
-		font-size: 12px;
-		font-weight: 600;
-		letter-spacing: 0.12em;
-		text-transform: uppercase;
-	}
-
-	.rail-chevron {
-		font-size: 18px;
-		line-height: 1;
-		color: var(--text-muted);
-	}
-
-	.rail-count {
-		display: flex;
-		align-items: center;
-		justify-content: center;
-		min-width: 20px;
-		height: 20px;
-		padding: 0 5px;
-		border-radius: 999px;
-		background: var(--accent);
-		color: #fff;
-		font-family: var(--font-mono);
-		font-size: 11px;
-		font-weight: 700;
-	}
-
-	.pip {
-		width: 8px;
-		height: 8px;
-		border-radius: 50%;
-		background: var(--text-muted);
-		flex-shrink: 0;
-	}
-
-	.pip.live {
-		background: var(--accent);
-		box-shadow: 0 0 0 4px var(--accent-glow);
-		animation: live-pulse 1.6s ease-in-out infinite;
-	}
-
-	.pip.reconnecting {
-		background: var(--warning);
-		box-shadow: 0 0 0 4px rgba(245, 158, 11, 0.18);
-	}
-
-	@keyframes live-pulse {
-		0%,
-		100% {
-			opacity: 1;
-			transform: scale(1);
-		}
-		50% {
-			opacity: 0.65;
-			transform: scale(0.92);
-		}
-	}
-
-	@media (prefers-reduced-motion: reduce) {
-		.activity {
-			transition: none;
-		}
-		.pip.live {
-			animation: none;
-		}
-	}
-
-	.head {
-		display: flex;
-		align-items: center;
-		justify-content: space-between;
-		gap: 8px;
-		padding: 14px 14px 10px;
-		border-bottom: 1px solid var(--border);
-		flex-shrink: 0;
-	}
-
-	.head-title {
-		display: flex;
-		align-items: center;
-		gap: 10px;
-		min-width: 0;
-	}
-
-	.head-title strong {
-		font-family: var(--font-display);
-		font-size: 15px;
-		font-weight: 650;
-		letter-spacing: -0.02em;
-	}
-
-	.conn-state {
-		font-size: 11px;
-		color: var(--text-muted);
-		white-space: nowrap;
-	}
-
-	.conn-state.warn {
-		color: var(--warning);
-	}
-
-	.body {
-		flex: 1;
-		min-height: 0;
-		display: flex;
-		flex-direction: column;
-		padding: 12px 10px 16px;
-		overflow: hidden;
-	}
-
-	.queue {
-		flex-shrink: 0;
-		display: flex;
-		flex-direction: column;
-		min-height: 0;
-		margin-bottom: 14px;
-	}
-
-	.section-head {
-		display: flex;
-		align-items: baseline;
-		justify-content: space-between;
-		flex-shrink: 0;
-	}
-
-	.job-list {
-		display: flex;
-		flex-direction: column;
-		gap: 6px;
-		max-height: 216px;
-		overflow-y: auto;
-		padding-right: 4px;
-	}
-
-	.queue-empty {
-		margin: 0 6px 4px;
-		padding: 12px 14px;
-		border: 1px dashed var(--border);
-		border-radius: var(--radius-md);
-		background: rgba(0, 0, 0, 0.2);
-		font-size: 12px;
-		line-height: 1.45;
-		color: var(--text-muted);
-	}
-
-	.stats-strip {
-		display: flex;
-		flex-wrap: wrap;
-		gap: 4px 12px;
-		margin: 10px 6px 0;
-		padding-top: 10px;
-		border-top: 1px solid var(--border);
-		font-family: var(--font-mono);
-		font-size: 10px;
-		color: var(--text-secondary);
-		flex-shrink: 0;
-	}
-
-	.stats-strip > span {
-		display: inline-flex;
-		align-items: center;
-		gap: 5px;
-		white-space: nowrap;
-	}
-
-	.sd {
-		width: 6px;
-		height: 6px;
-		border-radius: 50%;
-	}
-
-	.sd-running {
-		background: var(--info);
-	}
-	.sd-queued {
-		background: var(--text-muted);
-	}
-	.sd-done {
-		background: var(--success);
-	}
-	.sd-failed {
-		background: var(--error);
-	}
-
-	.log-section {
-		flex: 1;
-		min-height: 0;
-		display: flex;
-		flex-direction: column;
-	}
-
-	.eyebrow {
-		margin: 0 6px 10px;
-		font-size: 11px;
-		font-weight: 600;
-		letter-spacing: 0.08em;
-		text-transform: uppercase;
-		color: var(--text-muted);
-		flex-shrink: 0;
-	}
-
-	.empty {
-		margin: 8px 6px;
-		padding: 16px;
-		border: 1px dashed var(--border);
-		border-radius: var(--radius-md);
-		background: rgba(0, 0, 0, 0.2);
-	}
-
-	.empty p {
-		margin: 0;
-		font-size: 13px;
-		color: var(--text-secondary);
-	}
-
-	.empty .hint {
-		margin-top: 8px;
-		font-size: 12px;
-		color: var(--text-muted);
-		line-height: 1.45;
-	}
-
-	.log {
-		list-style: none;
-		margin: 0;
-		padding: 0 4px 8px 0;
-		overflow-y: auto;
-		overflow-x: hidden;
-		flex: 1;
-		min-height: 0;
-		display: flex;
-		flex-direction: column;
-		gap: 2px;
-	}
-
-	.entry {
-		display: grid;
-		grid-template-columns: 14px 1fr;
-		gap: 8px;
-		padding: 8px 8px 8px 4px;
-		border-radius: var(--radius-sm);
-	}
-
-	.entry:hover {
-		background: rgba(255, 255, 255, 0.03);
-	}
-
-	.dot {
-		width: 8px;
-		height: 8px;
-		margin-top: 5px;
-		border-radius: 50%;
-		background: var(--text-muted);
-		justify-self: center;
-	}
-
-	.tone-ok .dot {
-		background: var(--success);
-	}
-	.tone-err .dot {
-		background: var(--error);
-	}
-	.tone-warn .dot {
-		background: var(--warning);
-	}
-	.tone-work .dot {
-		background: var(--accent);
-	}
-	.tone-info .dot {
-		background: var(--info);
-	}
-
-	.meta {
-		min-width: 0;
-	}
-
-	.row {
-		display: flex;
-		align-items: baseline;
-		justify-content: space-between;
-		gap: 8px;
-	}
-
-	.title {
-		font-size: 12px;
-		font-weight: 650;
-		color: var(--text-primary);
-	}
-
-	.ts {
-		font-family: var(--font-mono);
-		font-size: 10px;
-		color: var(--text-muted);
-		flex-shrink: 0;
-	}
-
-	.detail {
-		margin: 3px 0 0;
-		font-size: 12px;
-		line-height: 1.4;
-		color: var(--text-secondary);
-		word-break: break-word;
-	}
-
-	.tone-err .detail {
-		color: #fca5a5;
-	}
-</style>
@@ -3,7 +3,7 @@
 	import { t } from '$lib/i18n.svelte';

 interface Props {
-	active?: 'projects' | 'canvas' | 'build-scene' | 'library' | 'settings';
+	active?: 'projects' | 'canvas' | 'build-scene' | 'library' | 'agents' | 'models' | 'settings';
 	crumb?: string;
 	/** Optional status content rendered between the crumb and the nav. */
 	status?: import('svelte').Snippet;
@@ -15,8 +15,8 @@ interface Props {

 <header class="header">
 	<div class="header-left">
-		<a class="logo" href="/canvas" title="Calliope Lab">
-			Calliope <span>Lab</span>
+		<a class="logo" href="/" title={t('shell.brand')}>
+			{t('shell.brand')}
 		</a>
 		{#if crumb}
 			<span class="crumb">{crumb}</span>
@@ -28,9 +28,11 @@ interface Props {
 		{/if}
 		<nav class="top-nav" aria-label={t('nav.primary')}>
 			<a class="nav-link" class:active={active === 'canvas'} href="/canvas">{t('nav.canvas')}</a>
-			<a class="nav-link" class:active={active === 'projects'} href="/projects">{t('nav.projects')}</a>
+			<a class="nav-link" class:active={active === 'projects'} href="/">{t('nav.projects')}</a>
 			<a class="nav-link" class:active={active === 'build-scene'} href="/build-scene">{t('nav.buildScene')}</a>
 			<a class="nav-link" class:active={active === 'library'} href="/library">{t('nav.library')}</a>
+			<a class="nav-link" class:active={active === 'agents'} href="/agents">{t('nav.agents')}</a>
+			<a class="nav-link" class:active={active === 'models'} href="/models">{t('nav.models')}</a>
 			<a class="nav-link" class:active={active === 'settings'} href="/settings">{t('nav.settings')}</a>
 		</nav>
 	</div>
@@ -67,18 +69,14 @@ interface Props {
 		flex-shrink: 0;
 	}
 	.logo {
-		font-family: var(--font-display);
-		font-size: 18px;
+		font-family: var(--font);
+		font-size: 15px;
 		font-weight: 700;
-		color: var(--text-primary);
+		color: var(--text);
 		text-decoration: none;
-		letter-spacing: -0.02em;
+		letter-spacing: -0.01em;
 		white-space: nowrap;
 	}
-	.logo span {
-		color: var(--accent);
-		font-weight: 500;
-	}
 	.crumb {
 		color: var(--text-muted);
 		font-size: 13px;
@@ -120,7 +118,7 @@ interface Props {
 		outline: 2px solid var(--accent);
 		outline-offset: 2px;
 	}
-	@media (max-width: 640px) {
+	@media (max-width: 760px) {
 		.header {
 			padding: 12px 16px;
 			flex-direction: column;
@@ -1,133 +0,0 @@
-<script lang="ts">
-	import { t } from '$lib/i18n.svelte';
-	import SafeMedia from '$lib/components/SafeMedia.svelte';
-	import StatusChip from '$lib/components/ui/StatusChip.svelte';
-
-	interface Props {
-		src: string | null;
-		alt: string;
-		placeholder: string;
-		wide?: boolean;
-		/** Taller 4:3 media-first crop (asset card grids). */
-		tall?: boolean;
-		/** Latest generation-job state for this asset, if the parent tracks jobs. */
-		jobState?: 'generating' | 'failed' | null;
-		onPreview?: (src: string) => void;
-	}
-
-	let {
-		src,
-		alt,
-		placeholder,
-		wide = false,
-		tall = false,
-		jobState = null,
-		onPreview,
-	}: Props = $props();
-
-	let available = $state(false);
-
-	$effect(() => {
-		void src;
-		available = false;
-	});
-
-	// Job state (live from the queue) wins over the media-derived state.
-	const chip = $derived.by((): { status: string; label: string } => {
-		if (jobState === 'generating') return { status: 'generating', label: t('common.generating') };
-		if (jobState === 'failed') return { status: 'failed', label: t('common.failed') };
-		if (available) return { status: 'ready', label: t('common.ready') };
-		if (src) return { status: 'missing', label: t('common.missing') };
-		return { status: 'pending', label: t('common.pending') };
-	});
-
-	function open() {
-		if (available && src && onPreview) onPreview(src);
-	}
-
-	function onKey(e: KeyboardEvent) {
-		if (e.key === 'Enter' || e.key === ' ') {
-			e.preventDefault();
-			open();
-		}
-	}
-</script>
-
-<!-- svelte-ignore a11y_no_noninteractive_tabindex a11y_no_noninteractive_element_interactions -->
-<div
-	class="thumb"
-	class:wide
-	class:tall
-	class:clickable={available && !!onPreview}
-	role={available && onPreview ? 'button' : undefined}
-	tabindex={available && onPreview ? 0 : undefined}
-	onclick={open}
-	onkeydown={available && onPreview ? onKey : undefined}
->
-	<SafeMedia
-		class="fill"
-		{src}
-		{alt}
-		label={placeholder}
-		onAvailable={() => (available = true)}
-		onUnavailable={() => (available = false)}
-	/>
-	<span class="thumb-chip">
-		<StatusChip status={chip.status} label={chip.label} />
-	</span>
-</div>
-
-<style>
-	.thumb {
-		aspect-ratio: 1;
-		background: var(--bg-elevated);
-		border: 1px solid var(--border);
-		border-radius: var(--radius-sm);
-		display: flex;
-		align-items: center;
-		justify-content: center;
-		position: relative;
-		overflow: hidden;
-		padding: 0;
-		margin: 0;
-		width: 100%;
-		color: inherit;
-		font: inherit;
-		box-sizing: border-box;
-	}
-	.thumb.wide {
-		aspect-ratio: 16 / 10;
-	}
-	.thumb.tall {
-		aspect-ratio: 4 / 3;
-	}
-	.thumb.clickable {
-		cursor: zoom-in;
-	}
-	.thumb.clickable:hover {
-		border-color: var(--accent, #a78bfa);
-	}
-	.thumb.clickable:focus-visible {
-		outline: 2px solid var(--accent, #a78bfa);
-		outline-offset: 2px;
-	}
-	.thumb :global(.fill) {
-		width: 100%;
-		height: 100%;
-		object-fit: cover;
-		border: none;
-		border-radius: 0;
-		min-height: 0;
-	}
-	.thumb :global(.safe-media-ph.fill) {
-		position: absolute;
-		inset: 0;
-	}
-	.thumb-chip {
-		position: absolute;
-		top: 8px;
-		left: 8px;
-		z-index: 1;
-		filter: drop-shadow(0 1px 3px rgba(0, 0, 0, 0.6));
-	}
-</style>
@@ -136,9 +136,9 @@

 	const projectList = $derived(($projectsQuery.data ?? []) as Project[]);

-	// Stage-URL contract: images land on Assets, clips on Video.
+	// Five-stage workbench URL contract: images land on 素材资产, clips on 镜头脚本.
 	const stageLink = $derived(
-		attached ? `/project/${attached.projectId}?stage=${isVideo ? 'video' : 'assets'}` : '',
+		attached ? `/workbench/${attached.projectId}?stage=${isVideo ? 'shot' : 'assets'}` : '',
 	);
 </script>

@@ -267,13 +267,13 @@
 	.attached {
 		display: flex;
 		align-items: center;
-		gap: 8px;
-		padding: 8px 10px;
-		background: rgba(34, 197, 94, 0.08);
-		border: 1px solid rgba(34, 197, 94, 0.3);
-		border-radius: var(--radius-md);
-		font-size: 12px;
-		color: var(--text-secondary);
+		gap: var(--sp-3);
+		padding: var(--sp-3) var(--sp-4);
+		background: var(--ok-soft);
+		border: 1px solid color-mix(in srgb, var(--ok) 30%, transparent);
+		border-radius: var(--r-md);
+		font-size: var(--fs-aux);
+		color: var(--text-2);
 	}
 	.attached-check {
 		display: flex;
@@ -282,8 +282,8 @@
 		width: 20px;
 		height: 20px;
 		border-radius: 50%;
-		background: var(--success);
-		color: #052e12;
+		background: var(--ok);
+		color: var(--bg);
 		flex-shrink: 0;
 	}
 	.attached-text {
@@ -293,23 +293,26 @@
 		white-space: nowrap;
 	}
 	.attached-text strong {
-		color: var(--text-primary);
+		color: var(--text);
 		font-weight: 600;
 	}
+	/* 普通链接走 ghost（§1.2）：默认 --text-2，悬停 --text，不用金色文字链接。 */
 	.attached-link {
-		color: var(--accent);
-		font-weight: 600;
+		color: var(--text-2);
+		font-weight: 500;
 		text-decoration: none;
 		white-space: nowrap;
 		flex-shrink: 0;
 	}
 	.attached-link:hover {
+		color: var(--text);
 		text-decoration: underline;
+		text-underline-offset: 3px;
 	}
 	.attached-link:focus-visible {
 		outline: 2px solid var(--accent);
 		outline-offset: 2px;
-		border-radius: var(--radius-sm);
+		border-radius: var(--r-sm);
 	}
 	.attached-dismiss {
 		display: flex;
@@ -319,15 +322,15 @@
 		height: 22px;
 		margin-left: auto;
 		border: none;
-		border-radius: var(--radius-sm);
+		border-radius: var(--r-sm);
 		background: transparent;
-		color: var(--text-muted);
+		color: var(--text-3);
 		cursor: pointer;
 		flex-shrink: 0;
 	}
 	.attached-dismiss:hover {
-		color: var(--text-primary);
-		background: rgba(255, 255, 255, 0.06);
+		color: var(--text);
+		background: var(--bg-4);
 	}
 	.attached-dismiss:focus-visible {
 		outline: 2px solid var(--accent);
@@ -336,20 +339,20 @@
 	.panel {
 		display: flex;
 		flex-direction: column;
-		gap: 4px;
-		padding: 12px;
-		background: var(--bg-elevated);
-		border: 1px solid var(--border);
-		border-radius: var(--radius-md);
+		gap: var(--sp-1);
+		padding: var(--sp-5);
+		background: var(--bg-3);
+		border: 1px solid var(--line);
+		border-radius: var(--r-md);
 	}
 	.actions {
 		display: flex;
-		gap: 8px;
-		margin-top: 4px;
+		gap: var(--sp-3);
+		margin-top: var(--sp-1);
 	}
 	.err {
-		margin: 4px 0 0;
-		font-size: 12px;
-		color: var(--error);
+		margin: var(--sp-1) 0 0;
+		font-size: var(--fs-aux);
+		color: var(--err);
 	}
 </style>
@@ -17,6 +17,10 @@
 		allowUpload?: boolean;
 		/** Force required-field error rings visible (e.g. after a blocked Generate). */
 		showErrors?: boolean;
+		/** Show each field's workflow value (原值) and mark fields that differ from it. */
+		showOrig?: boolean;
+		/** Extra per-field messages keyed by nodeId (e.g. range checks); shown with showErrors. */
+		errors?: Record<string, string>;
 		/** Emits labels of required-but-empty inputs whenever the set changes. */
 		onValidityChange?: (missing: string[]) => void;
 		onChange?: (values: Record<string, string | number>) => void;
@@ -30,10 +34,23 @@
 		assetOptions = [],
 		allowUpload = false,
 		showErrors = false,
+		showOrig = false,
+		errors = {},
 		onValidityChange,
 		onChange,
 	}: Props = $props();

+	function hasOrig(inp: ComfyDynamicInput): boolean {
+		return inp.defaultValue !== undefined && inp.defaultValue !== '';
+	}
+
+	function isChanged(inp: ComfyDynamicInput): boolean {
+		if (!showOrig) return false;
+		const v = values[inp.nodeId];
+		if (isBlank(v)) return hasOrig(inp);
+		return !hasOrig(inp) || String(v) !== String(inp.defaultValue);
+	}
+
 	// Unique per mounted form so label/id pairs never collide across instances.
 	const uid = Math.random().toString(36).slice(2, 8);
 	let touched = $state<Record<string, boolean>>({});
@@ -80,6 +97,11 @@
 		return isMissing(inp) && (showErrors || !!touched[inp.nodeId]);
 	}

+	function extraError(inp: ComfyDynamicInput): string | null {
+		const msg = errors[inp.nodeId]?.trim();
+		return msg && !isMissing(inp) && (showErrors || !!touched[inp.nodeId]) ? msg : null;
+	}
+
 	function thumbFor(current: string): string | null {
 		if (!current) return null;
 		const opt = assetOptions.find((o) => o.path === current);
@@ -224,7 +246,9 @@
 		{#each inputs as inp (inp.nodeId)}
 			{@const current = String(values[inp.nodeId] ?? '')}
 			{@const id = inputId(inp.nodeId)}
-			{@const errored = showError(inp)}
+			{@const extra = extraError(inp)}
+			{@const errored = showError(inp) || !!extra}
+			{@const changed = isChanged(inp)}
 			<div class="field">
 				<label class="label" for={id}>
 					{inp.label}
@@ -235,6 +259,9 @@
 						{#if inp.role}<span class="role">{inp.role}</span>{/if}
 						<span class="kind">{inp.kind}</span>
 					{/if}
+					{#if showOrig && hasOrig(inp)}
+						<span class="orig">{t('cdf.orig', { v: String(inp.defaultValue) })}</span>
+					{/if}
 				</label>
 				{#if readonly}
 					<div class="readonly">{values[inp.nodeId] ?? inp.defaultValue ?? '—'}</div>
@@ -243,6 +270,7 @@
 						{id}
 						rows="3"
 						class:invalid={errored}
+						class:changed
 						aria-required={inp.required || undefined}
 						aria-invalid={errored || undefined}
 						value={current}
@@ -254,12 +282,26 @@
 						{id}
 						type="number"
 						class:invalid={errored}
+						class:changed
 						aria-required={inp.required || undefined}
 						aria-invalid={errored || undefined}
 						value={values[inp.nodeId] ?? ''}
 						oninput={(e) => setNumberValue(inp.nodeId, e.currentTarget.value)}
 						onblur={() => markTouched(inp.nodeId)}
 					/>
+				{:else if inp.kind === 'select'}
+					<select
+						{id}
+						class:invalid={errored}
+						class:changed
+						value={current || String(inp.defaultValue ?? '')}
+						onchange={(e) => setValue(inp.nodeId, e.currentTarget.value)}
+						onblur={() => markTouched(inp.nodeId)}
+					>
+						{#each inp.options ?? [] as opt (opt)}
+							<option value={opt}>{opt}</option>
+						{/each}
+					</select>
 				{:else if allowUpload && isUploadKind(inp.kind)}
 					{@const uploadingName = uploading[inp.nodeId]}
 					{@const isUpload = !!current && !assetOptions.some((o) => o.path === current)}
@@ -433,6 +475,7 @@
 						{id}
 						type="text"
 						class:invalid={errored}
+						class:changed
 						aria-required={inp.required || undefined}
 						aria-invalid={errored || undefined}
 						value={current}
@@ -441,7 +484,7 @@
 					/>
 				{/if}
 				{#if errored}
-					<span class="error-msg" role="alert">{t('cdf.requiredMsg', { label: inp.label })}</span>
+					<span class="error-msg" role="alert">{extra ?? t('cdf.requiredMsg', { label: inp.label })}</span>
 				{/if}
 			</div>
 		{/each}
@@ -504,11 +547,23 @@
 		border-color: var(--accent);
 		box-shadow: 0 0 0 3px var(--accent-glow);
 	}
+	input.changed,
+	textarea.changed,
+	select.changed {
+		border-color: var(--accent-line);
+	}
 	input.invalid,
 	textarea.invalid,
 	select.invalid {
 		border-color: var(--error);
 	}
+	.orig {
+		float: right;
+		font-weight: 400;
+		font-size: var(--fs-mini);
+		font-family: var(--mono);
+		color: var(--text-muted);
+	}
 	input.invalid:focus-visible,
 	textarea.invalid:focus-visible,
 	select.invalid:focus-visible {
@@ -1,7 +1,9 @@
 <script lang="ts">
 	import SafeMedia from '$lib/components/SafeMedia.svelte';
 	import Icon from '$lib/components/ui/Icon.svelte';
+	import Spinner from '$lib/components/ui/Spinner.svelte';
 	import { t } from '$lib/i18n.svelte';
+	import { exportLastFrame } from '$lib/media/lastFrame';

 	interface Props {
 		src: string | null;
@@ -61,6 +63,17 @@
 		}
 		return alt ? `${alt.trim().replace(/\s+/g, '-').toLowerCase()}.png` : 'media';
 	});
+
+	let frameBusy = $state(false);
+	async function exportTail() {
+		if (!src || frameBusy) return;
+		frameBusy = true;
+		try {
+			await exportLastFrame(src);
+		} finally {
+			frameBusy = false;
+		}
+	}
 </script>

 <svelte:window onkeydown={src ? onKeydown : undefined} />
@@ -90,6 +103,26 @@ aria-label={zoomed ? t('lightbox.fitToScreen') : t('lightbox.zoom100')}
 					<Icon name="zoom-in" size={17} />
 				</button>
 			{/if}
+			{#if isVideo}
+				<button
+					class="tool"
+					type="button"
+					aria-label={frameBusy ? t('lastFrame.exporting') : t('lastFrame.export')}
+					title={frameBusy ? t('lastFrame.exporting') : `${t('lastFrame.export')} · ${t('lastFrame.hint')}`}
+					disabled={frameBusy}
+					aria-busy={frameBusy}
+					onclick={(e) => {
+						e.stopPropagation();
+						exportTail();
+					}}
+				>
+					{#if frameBusy}
+						<Spinner size="sm" />
+					{:else}
+						<Icon name="image" size={17} />
+					{/if}
+				</button>
+			{/if}
 			<a
 				class="tool"
 				href={src}
@@ -1,164 +0,0 @@
-<script lang="ts">
-	import { useQueryClient } from '@tanstack/svelte-query';
-	import { jobsApi, type Job } from '$lib/api';
-	import { t } from '$lib/i18n.svelte';
-	import { progressFor } from '$lib/jobProgress';
-	import { toast } from '$lib/toast';
-	import Button from './ui/Button.svelte';
-	import Icon from './ui/Icon.svelte';
-	import type { IconName } from './ui/icons';
-	import ProgressBar from './ui/ProgressBar.svelte';
-	import StatusChip from './ui/StatusChip.svelte';
-
-	interface Props {
-		job: Job;
-		/** Optional override for the leading label (defaults to "Kind #id"). */
-		label?: string;
-	}
-
-	let { job, label }: Props = $props();
-
-	const client = useQueryClient();
-	let busy = $state(false);
-
-	const kindIcon: IconName = $derived(
-		job.kind === 'video'
-			? 'video'
-			: job.kind === 'image'
-				? 'image'
-				: job.kind === 'export'
-					? 'film'
-					: 'queue',
-	);
-	const kindLabel = $derived(
-		job.kind === 'export'
-			? t('job.exportFilm')
-			: job.kind.charAt(0).toUpperCase() + job.kind.slice(1),
-	);
-	const title = $derived(label ?? t('job.title', { kind: kindLabel, id: String(job.id) }));
-	const active = $derived(job.status === 'pending' || job.status === 'running');
-	const entry = $derived(progressFor(job.id));
-
-	async function refresh() {
-		await client.invalidateQueries({ queryKey: ['jobs'] });
-		await client.invalidateQueries({ queryKey: ['playground-jobs'] });
-	}
-
-	async function cancel() {
-		busy = true;
-		try {
-			await jobsApi.cancel(job.id);
-			await refresh();
-			toast.info(t('job.cancelled', { id: String(job.id) }));
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('job.cancelFailed'));
-		} finally {
-			busy = false;
-		}
-	}
-
-	async function retry() {
-		busy = true;
-		try {
-			await jobsApi.retry(job.id);
-			await refresh();
-			toast.success(t('job.requeued', { id: String(job.id) }));
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('job.retryFailed'));
-		} finally {
-			busy = false;
-		}
-	}
-</script>
-
-<div class="job-row">
-	<span class="kind" aria-hidden="true"><Icon name={kindIcon} size={14} /></span>
-	<div class="main">
-		<div class="top">
-			<span class="label" {title}>{title}</span>
-			<StatusChip status={job.status} />
-		</div>
-		{#if active}
-			<div class="bar">
-				<ProgressBar
-					size="sm"
-					value={entry?.progress ?? 0}
-					indeterminate={job.status === 'running' && entry == null}
-					label={entry?.message}
-				/>
-			</div>
-		{:else if job.status === 'failed' && job.error}
-			<p class="err" title={job.error}>{job.error}</p>
-		{/if}
-	</div>
-	<div class="actions">
-		{#if active}
-			<Button size="sm" variant="ghost" loading={busy} title={t('job.cancelJob')} onclick={cancel}>
-				<Icon name="close" size={13} />
-			</Button>
-		{:else if job.status === 'failed'}
-			<Button size="sm" variant="ghost" loading={busy} title={t('job.retryJob')} onclick={retry}>
-				<Icon name="retry" size={13} />
-			</Button>
-		{/if}
-	</div>
-</div>
-
-<style>
-	.job-row {
-		display: grid;
-		grid-template-columns: 20px 1fr auto;
-		gap: 8px;
-		align-items: start;
-		padding: 8px;
-		border: 1px solid var(--border);
-		border-radius: var(--radius-sm);
-		background: var(--bg-elevated);
-	}
-	.kind {
-		display: flex;
-		align-items: center;
-		justify-content: center;
-		height: 20px;
-		color: var(--text-muted);
-	}
-	.main {
-		min-width: 0;
-		display: flex;
-		flex-direction: column;
-		gap: 6px;
-	}
-	.top {
-		display: flex;
-		align-items: center;
-		justify-content: space-between;
-		gap: 8px;
-		min-height: 20px;
-	}
-	.label {
-		font-size: 12px;
-		font-weight: 600;
-		color: var(--text-primary);
-		white-space: nowrap;
-		overflow: hidden;
-		text-overflow: ellipsis;
-	}
-	.bar {
-		padding-bottom: 2px;
-	}
-	.err {
-		margin: 0;
-		font-size: 11px;
-		line-height: 1.4;
-		color: var(--error);
-		display: -webkit-box;
-		-webkit-line-clamp: 2;
-		line-clamp: 2;
-		-webkit-box-orient: vertical;
-		overflow: hidden;
-	}
-	.actions {
-		display: flex;
-		align-items: center;
-	}
-</style>
@@ -1,137 +0,0 @@
-<script lang="ts">
-	import { goto } from '$app/navigation';
-	import { t } from '$lib/i18n.svelte';
-	import Icon from '$lib/components/ui/Icon.svelte';
-	import type { IconName } from '$lib/components/ui/icons';
-
-	const items = $derived(
-		[
-			{ id: 'story', key: 'nav.story', icon: 'story' },
-			{ id: 'assets', key: 'nav.assets', icon: 'assets' },
-			{ id: 'script', key: 'nav.script', icon: 'script' },
-			{ id: 'video', key: 'nav.video', icon: 'video' },
-		] as { id: string; key: string; icon: IconName }[],
-	);
-
-	interface Props {
-		active?: string;
-		onSelect?: (id: string) => void;
-		/** Optional per-stage counts — a nonzero value shows a small pill on the icon. */
-		badges?: Record<string, number>;
-	}
-
-	let { active = 'story', onSelect, badges = {} }: Props = $props();
-</script>
-
-<nav class="nav" aria-label={t('nav.projectStages')}>
-	<button
-		class="nav-item home"
-		title={t('nav.projects')}
-		aria-label={t('nav.backProjects')}
-		onclick={() => goto('/projects')}
-	>
-		<span class="icon"><Icon name="home" size={20} /></span>
-		<span class="label">{t('nav.home')}</span>
-	</button>
-	<div class="divider" aria-hidden="true"></div>
-	{#each items as item (item.id)}
-		{@const count = badges[item.id] ?? 0}
-		<button
-			class="nav-item"
-			class:active={active === item.id}
-			title={t(item.key)}
-			aria-current={active === item.id ? 'page' : undefined}
-			onclick={() => onSelect?.(item.id)}
-		>
-			<span class="icon">
-				<Icon name={item.icon} size={20} />
-				{#if count > 0}
-					<span class="badge" aria-label={t('nav.countActive', { count })}>
-						{count > 9 ? '9+' : count}
-					</span>
-				{/if}
-			</span>
-			<span class="label">{t(item.key)}</span>
-		</button>
-	{/each}
-</nav>
-
-<style>
-	.nav {
-		width: 64px;
-		background: var(--bg-surface);
-		border-right: 1px solid var(--border);
-		display: flex;
-		flex-direction: column;
-		align-items: center;
-		padding: var(--space-md) 0;
-		gap: var(--space-sm);
-		flex-shrink: 0;
-	}
-	.divider {
-		width: 32px;
-		height: 1px;
-		background: var(--border);
-		margin: 2px 0 4px;
-	}
-	.nav-item {
-		width: 56px;
-		border: none;
-		background: transparent;
-		border-radius: var(--radius-md);
-		display: flex;
-		flex-direction: column;
-		align-items: center;
-		justify-content: center;
-		gap: 4px;
-		padding: 8px 0;
-		cursor: pointer;
-		color: var(--text-muted);
-		font-size: 11px;
-		font-family: inherit;
-		transition: all 0.15s;
-	}
-	.nav-item:hover {
-		background: var(--bg-elevated);
-		color: var(--text-primary);
-	}
-	.nav-item.active {
-		background: var(--accent);
-		color: white;
-		box-shadow: 0 0 16px var(--accent-glow);
-	}
-	.nav-item.home:hover {
-		color: var(--accent);
-	}
-	.nav-item:focus-visible {
-		outline: 2px solid var(--accent);
-		outline-offset: 2px;
-	}
-	.icon {
-		position: relative;
-		display: inline-flex;
-		line-height: 1;
-	}
-	.badge {
-		position: absolute;
-		top: -6px;
-		right: -12px;
-		min-width: 15px;
-		height: 15px;
-		padding: 0 4px;
-		box-sizing: border-box;
-		border-radius: 999px;
-		background: var(--accent);
-		color: #fff;
-		font-size: 9px;
-		font-weight: 700;
-		line-height: 15px;
-		text-align: center;
-		box-shadow: 0 0 0 2px var(--bg-surface);
-	}
-	.nav-item.active .badge {
-		background: #fff;
-		color: var(--accent);
-		box-shadow: 0 0 0 2px var(--accent);
-	}
-</style>
@@ -346,6 +346,16 @@
 								value={values[nodeId] ?? ctrl.input.defaultValue ?? ''}
 								oninput={(e) => setValue(nodeId, Number(e.currentTarget.value) || 0)}
 							/>
+						{:else if ctrl.input.kind === 'select'}
+							<select
+								class="adv-input"
+								value={String(values[nodeId] ?? ctrl.input.defaultValue ?? '')}
+								onchange={(e) => setValue(nodeId, e.currentTarget.value)}
+							>
+								{#each ctrl.input.options ?? [] as opt (opt)}
+									<option value={opt}>{opt}</option>
+								{/each}
+							</select>
 						{:else}
 							<input
 								class="adv-input"
@@ -1,478 +0,0 @@
-<script lang="ts">
-	import { goto } from '$app/navigation';
-	import { createMutation, createQuery, useQueryClient } from '@tanstack/svelte-query';
-	import { assetUrl, projects, type Project } from '$lib/api';
-	import { toast } from '$lib/toast';
-	import Button from '$lib/components/ui/Button.svelte';
-	import ConfirmDialog from '$lib/components/ui/ConfirmDialog.svelte';
-	import Icon from '$lib/components/ui/Icon.svelte';
-	import Modal from '$lib/components/ui/Modal.svelte';
-	import StatusChip from '$lib/components/ui/StatusChip.svelte';
-	import { t } from '$lib/i18n.svelte';
-
-	interface Props {
-		project: Project;
-	}
-
-	const { project }: Props = $props();
-
-	const client = useQueryClient();
-
-	const stats = $derived(
-		project.stats ?? {
-			scene_count: 0,
-			character_count: 0,
-			asset_ready_count: 0,
-			asset_total_count: 0,
-		},
-	);
-
-	// Explicit project cover wins; otherwise fall back to the first asset image.
-	// The project prop is stable for the lifetime of a card, so the eager
-	// queryKey capture below is intentional.
-	// svelte-ignore state_referenced_locally
-	const assetsQuery = createQuery({
-		queryKey: ['assets', project.id],
-		queryFn: () => projects.getAssets(project.id),
-		staleTime: 60_000,
-	});
-
-	const thumbUrl = $derived.by(() => {
-		if (project.cover_path) return assetUrl(project.cover_path);
-		const data = $assetsQuery.data;
-		if (!data) return null;
-		const char = data.characters.find((c) => c.portrait_path || c.sheet_path);
-		const path =
-			char?.portrait_path ??
-			char?.sheet_path ??
-			data.locations.find((l) => l.reference_image_path)?.reference_image_path ??
-			null;
-		return assetUrl(path);
-	});
-
-	// A broken cover (deleted file, 404) falls back to the gradient tile.
-	let thumbFailedFor = $state<string | null>(null);
-
-	function relativeTime(iso: string): string {
-		const then = new Date(iso).getTime();
-		if (Number.isNaN(then)) return '';
-		const mins = Math.max(0, Math.round((Date.now() - then) / 60000));
-		if (mins < 1) return t('projectCard.timeJustNow');
-		if (mins < 60) return t('projectCard.timeM', { count: mins });
-		const hours = Math.round(mins / 60);
-		if (hours < 24) return t('projectCard.timeH', { count: hours });
-		const days = Math.round(hours / 24);
-		if (days < 30) return t('projectCard.timeD', { count: days });
-		const months = Math.round(days / 30);
-		if (months < 12) return t('projectCard.timeMo', { count: months });
-		return t('projectCard.timeY', { count: Math.round(months / 12) });
-	}
-
-	const updatedLabel = $derived(relativeTime(project.updated_at));
-	const updatedTitle = $derived(new Date(project.updated_at).toLocaleString());
-
-	// Overflow menu (⋯) — closes on outside click, focus leaving, or Esc.
-	let menuOpen = $state(false);
-	let menuEl = $state<HTMLDivElement | null>(null);
-
-	$effect(() => {
-		if (!menuOpen) return;
-		const onDocClick = (e: MouseEvent) => {
-			if (menuEl && !menuEl.contains(e.target as Node)) menuOpen = false;
-		};
-		const onKey = (e: KeyboardEvent) => {
-			if (e.key === 'Escape') menuOpen = false;
-		};
-		const onFocusIn = (e: FocusEvent) => {
-			if (menuEl && !menuEl.contains(e.target as Node)) menuOpen = false;
-		};
-		window.addEventListener('click', onDocClick);
-		window.addEventListener('keydown', onKey);
-		document.addEventListener('focusin', onFocusIn);
-		return () => {
-			window.removeEventListener('click', onDocClick);
-			window.removeEventListener('keydown', onKey);
-			document.removeEventListener('focusin', onFocusIn);
-		};
-	});
-
-	let renameOpen = $state(false);
-	let renameValue = $state('');
-
-	const renameMutation = createMutation({
-		mutationFn: (title: string) => projects.update(project.id, { title }),
-		onSuccess: (updated) => {
-			client.invalidateQueries({ queryKey: ['projects'] });
-			toast.success(t('projectCard.renamedTo', { title: updated.title }));
-		},
-		onError: (err) => {
-			toast.error(err instanceof Error ? err.message : t('projectCard.renameFailed'));
-		},
-	});
-
-	function openRename() {
-		menuOpen = false;
-		renameValue = project.title;
-		renameOpen = true;
-	}
-
-	function submitRename() {
-		const title = renameValue.trim();
-		renameOpen = false;
-		if (!title || title === project.title) return;
-		$renameMutation.mutate(title);
-	}
-
-	let deleteOpen = $state(false);
-
-	const deleteMutation = createMutation({
-		mutationFn: () => projects.delete(project.id),
-		onSuccess: () => {
-			client.invalidateQueries({ queryKey: ['projects'] });
-			toast.success(t('projectCard.deleted', { title: project.title }));
-		},
-		onError: (err) => {
-			toast.error(err instanceof Error ? err.message : t('projectCard.deleteFailed'));
-		},
-	});
-</script>
-
-<article class="project-card">
-	<button
-		type="button"
-		class="card-main"
-		aria-label={t('projectCard.open', { title: project.title })}
-		onclick={() => goto(`/project/${project.id}`)}
-	>
-		<div class="card-thumb">
-			{#if thumbUrl && thumbFailedFor !== thumbUrl}
-				<img
-					class="thumb-img"
-					src={thumbUrl}
-					alt=""
-					loading="lazy"
-					onerror={() => (thumbFailedFor = thumbUrl)}
-				/>
-			{:else}
-				<div class="card-thumb-icon"><Icon name="video" size={26} /></div>
-			{/if}
-			<div class="card-status">
-				<StatusChip status={project.status} label={t(`projectCard.status.${project.status}`)} />
-			</div>
-		</div>
-		<div class="card-body">
-			<div class="card-title">
-				{project.title}
-				<span class="open-arrow">→</span>
-			</div>
-			<p class="card-desc">{project.idea || t('projectCard.noIdea')}</p>
-			<div class="card-meta">
-				<div class="card-stats">
-					<span class="card-stat">
-						<Icon name="script" size={13} />
-						{t('projectCard.scenes', { count: stats.scene_count })}
-					</span>
-					<span class="card-stat">
-						<Icon name="assets" size={13} />
-						{t('projectCard.characters', { count: stats.character_count })}
-					</span>
-					<span class="card-stat">
-						<Icon name="image" size={13} />
-						{t('projectCard.assets', {
-							ready: stats.asset_ready_count,
-							total: stats.asset_total_count,
-						})}
-					</span>
-				</div>
-				<span title={updatedTitle}>{updatedLabel}</span>
-			</div>
-		</div>
-	</button>
-
-	<div class="menu-wrap" bind:this={menuEl}>
-		<button
-			type="button"
-			class="menu-btn"
-			aria-label={t('projectCard.actions', { title: project.title })}
-			aria-haspopup="menu"
-			aria-expanded={menuOpen}
-			onclick={() => (menuOpen = !menuOpen)}
-		>
-			⋯
-		</button>
-		{#if menuOpen}
-			<div class="menu" role="menu" aria-label={t('projectCard.menuLabel')}>
-				<button type="button" role="menuitem" class="menu-item" onclick={openRename}>
-					<Icon name="edit" size={14} />
-					{t('common.rename')}
-				</button>
-				<button
-					type="button"
-					role="menuitem"
-					class="menu-item"
-					onclick={() => {
-						menuOpen = false;
-						goto(`/project/${project.id}?stage=assets`);
-					}}
-				>
-					<Icon name="image" size={14} />
-					{t('projectCard.changeCover')}
-				</button>
-				<button
-					type="button"
-					role="menuitem"
-					class="menu-item danger"
-					onclick={() => {
-						menuOpen = false;
-						deleteOpen = true;
-					}}
-				>
-					<Icon name="trash" size={14} />
-					{t('common.delete')}
-				</button>
-			</div>
-		{/if}
-	</div>
-</article>
-
-<Modal bind:open={renameOpen} title={t('projectCard.renameTitle')}>
-	<form
-		onsubmit={(e) => {
-			e.preventDefault();
-			submitRename();
-		}}
-	>
-		<label class="field">
-			<span class="field-label">{t('common.title')}</span>
-			<input class="field-input" bind:value={renameValue} required />
-		</label>
-	</form>
-	{#snippet footer()}
-		<Button variant="ghost" onclick={() => (renameOpen = false)}>{t('common.cancel')}</Button>
-		<Button
-			variant="primary"
-			disabled={!renameValue.trim() || $renameMutation.isPending}
-			onclick={submitRename}
-		>
-			{t('common.rename')}
-		</Button>
-	{/snippet}
-</Modal>
-
-<ConfirmDialog
-	bind:open={deleteOpen}
-	title={t('projectCard.deleteTitle')}
-	message={t('projectCard.deleteMessage', { title: project.title })}
-	confirmLabel={t('common.delete')}
-	danger
-	onconfirm={() => $deleteMutation.mutate()}
-/>
-
-<style>
-	.project-card {
-		position: relative;
-		background: var(--bg-surface);
-		border: 1px solid var(--border);
-		border-radius: var(--radius-lg);
-		overflow: hidden;
-		transition: all 0.2s;
-	}
-	.project-card:hover {
-		border-color: var(--accent);
-		transform: translateY(-2px);
-		box-shadow: 0 8px 32px rgba(0, 0, 0, 0.35);
-	}
-	.project-card:hover .open-arrow {
-		opacity: 1;
-		transform: translateX(0);
-	}
-	.card-main {
-		display: block;
-		width: 100%;
-		padding: 0;
-		border: none;
-		background: transparent;
-		color: inherit;
-		font: inherit;
-		text-align: left;
-		cursor: pointer;
-	}
-	.card-main:focus-visible {
-		outline: 2px solid var(--accent);
-		outline-offset: -2px;
-	}
-	.card-thumb {
-		height: 170px;
-		background: linear-gradient(135deg, var(--bg-elevated) 0%, #1a1625 100%);
-		position: relative;
-		display: flex;
-		align-items: center;
-		justify-content: center;
-		overflow: hidden;
-	}
-	.card-thumb::before {
-		content: '';
-		position: absolute;
-		inset: 0;
-		background:
-			radial-gradient(circle at 20% 30%, rgba(139, 92, 246, 0.12) 0%, transparent 40%),
-			radial-gradient(circle at 80% 70%, rgba(59, 130, 246, 0.08) 0%, transparent 40%);
-	}
-	.thumb-img {
-		position: absolute;
-		inset: 0;
-		width: 100%;
-		height: 100%;
-		object-fit: cover;
-	}
-	.card-thumb-icon {
-		width: 64px;
-		height: 64px;
-		border-radius: var(--radius-md);
-		background: rgba(139, 92, 246, 0.12);
-		border: 1px solid rgba(139, 92, 246, 0.2);
-		color: var(--accent);
-		display: flex;
-		align-items: center;
-		justify-content: center;
-		position: relative;
-		z-index: 1;
-	}
-	.card-status {
-		position: absolute;
-		top: 8px;
-		right: 8px;
-		z-index: 2;
-		filter: drop-shadow(0 1px 3px rgba(0, 0, 0, 0.6));
-	}
-	.card-body {
-		padding: var(--space-md);
-	}
-	.card-title {
-		font-size: 16px;
-		font-weight: 600;
-		margin: 0 0 var(--space-xs);
-		display: flex;
-		justify-content: space-between;
-		align-items: center;
-		gap: var(--space-sm);
-	}
-	.open-arrow {
-		color: var(--accent);
-		opacity: 0;
-		transform: translateX(-8px);
-		transition: all 0.2s;
-		font-size: 14px;
-	}
-	.card-desc {
-		color: var(--text-secondary);
-		font-size: 13px;
-		line-height: 1.5;
-		margin: 0 0 var(--space-md);
-		display: -webkit-box;
-		-webkit-line-clamp: 2;
-		line-clamp: 2;
-		-webkit-box-orient: vertical;
-		overflow: hidden;
-	}
-	.card-meta {
-		display: flex;
-		justify-content: space-between;
-		align-items: center;
-		gap: var(--space-sm);
-		font-size: 12px;
-		color: var(--text-muted);
-	}
-	.card-stats {
-		display: flex;
-		gap: var(--space-md);
-		flex-wrap: wrap;
-	}
-	.card-stat {
-		display: flex;
-		align-items: center;
-		gap: 4px;
-	}
-	.menu-wrap {
-		position: absolute;
-		top: 8px;
-		left: 8px;
-		z-index: 3;
-	}
-	.menu-btn {
-		width: 30px;
-		height: 30px;
-		border: 1px solid transparent;
-		border-radius: var(--radius-sm);
-		background: rgba(10, 10, 12, 0.55);
-		color: var(--text-secondary);
-		font-size: 16px;
-		line-height: 1;
-		cursor: pointer;
-		display: flex;
-		align-items: center;
-		justify-content: center;
-		opacity: 0;
-		transition: all 0.15s;
-	}
-	.project-card:hover .menu-btn,
-	.menu-btn:focus-visible,
-	.menu-btn[aria-expanded='true'] {
-		opacity: 1;
-	}
-	.menu-btn:hover {
-		background: var(--bg-elevated);
-		color: var(--text-primary);
-		border-color: var(--border);
-	}
-	.menu-btn:focus-visible {
-		outline: 2px solid var(--accent);
-		outline-offset: 2px;
-	}
-	.menu {
-		position: absolute;
-		top: 34px;
-		left: 0;
-		min-width: 140px;
-		background: var(--bg-elevated);
-		border: 1px solid var(--border);
-		border-radius: var(--radius-md);
-		box-shadow: 0 12px 32px rgba(0, 0, 0, 0.45);
-		padding: 4px;
-		display: flex;
-		flex-direction: column;
-	}
-	.menu-item {
-		display: flex;
-		align-items: center;
-		gap: 8px;
-		width: 100%;
-		padding: 8px 10px;
-		border: none;
-		border-radius: var(--radius-sm);
-		background: transparent;
-		color: var(--text-primary);
-		font-size: 13px;
-		font-family: inherit;
-		cursor: pointer;
-		text-align: left;
-	}
-	.menu-item:hover {
-		background: rgba(255, 255, 255, 0.06);
-	}
-	.menu-item.danger {
-		color: var(--error);
-	}
-	.menu-item.danger:hover {
-		background: rgba(239, 68, 68, 0.12);
-	}
-	.menu-item:focus-visible {
-		outline: 2px solid var(--accent);
-		outline-offset: -2px;
-	}
-	@media (prefers-reduced-motion: reduce) {
-		.project-card:hover {
-			transform: none;
-		}
-	}
-</style>
@@ -1,867 +0,0 @@
-<script lang="ts">
-	import { tick } from 'svelte';
-	import { goto } from '$app/navigation';
-	import { toStore } from 'svelte/store';
-	import { createMutation, createQuery, useQueryClient } from '@tanstack/svelte-query';
-	import { assetUrl, jobsApi, projects, type Job, type Scene, type Clip } from '$lib/api';
-	import { estimateTargetSeconds } from '$lib/durationBudget';
-	import { agentDeepLink } from '$lib/agentTasks';
-	import { toast } from '$lib/toast';
-	import { t } from '$lib/i18n.svelte';
-	import Button from '$lib/components/ui/Button.svelte';
-	import StatusChip from '$lib/components/ui/StatusChip.svelte';
-	import Modal from '$lib/components/ui/Modal.svelte';
-	import ConfirmDialog from '$lib/components/ui/ConfirmDialog.svelte';
-	import EmptyState from '$lib/components/ui/EmptyState.svelte';
-	import Icon from '$lib/components/ui/Icon.svelte';
-
-	interface Props {
-		projectId: number;
-	}
-
-	let { projectId }: Props = $props();
-	const client = useQueryClient();
-	let editing = $state<Scene | null>(null);
-	let editOpen = $state(false);
-	let highlightId = $state<number | null>(null);
-	let adding = $state(false);
-	let deletingId = $state<number | null>(null);
-	let sceneToDelete = $state<Scene | null>(null);
-	let deleteOpen = $state(false);
-
-	const scenesQuery = createQuery(
-		toStore(() => ({
-			queryKey: ['scenes', projectId],
-			queryFn: () => projects.getScenes(projectId),
-		})),
-	);
-
-	// Shared cache key with QueueStage — clip job state shows up on scene cards
-	// too. Refreshed via SSE invalidation from the project page, not polling.
-	const jobsQuery = createQuery(
-		toStore(() => ({
-			queryKey: ['jobs', projectId],
-			queryFn: () => jobsApi.list(projectId),
-		})),
-	);
-
-	// Cache-shared with the parent's story query — only used for the target-length hint.
-	const storyQuery = createQuery(
-		toStore(() => ({
-			queryKey: ['story', projectId],
-			queryFn: () => projects.getStory(projectId),
-		})),
-	);
-
-	// Cache-shared with AssetsStage — resolves scene location chips.
-	const assetsQuery = createQuery(
-		toStore(() => ({
-			queryKey: ['assets', projectId],
-			queryFn: () => projects.getAssets(projectId),
-		})),
-	);
-
-	const scenes = $derived($scenesQuery.data?.scenes ?? []);
-	const sceneCount = $derived(scenes.length);
-	const totalClips = $derived(scenes.reduce((n, s) => n + (s.clips?.length ?? 0), 0));
-	const totalSec = $derived($scenesQuery.data?.estimated_duration_sec ?? 0);
-	const targetSec = $derived.by(() => {
-		const target = $storyQuery.data?.project?.target_duration;
-		return target ? estimateTargetSeconds(target) : 0;
-	});
-
-	const busy = $derived(adding || deletingId != null);
-
-	// ── Break into shots (coverage expansion) ────────────────────────────
-	let expandingIds = $state<number[]>([]);
-	let expandingAll = $state(false);
-	let expandedIds = $state<number[]>([]);
-
-	function isExpanded(scene: Scene): boolean {
-		return (scene.clips?.length ?? 0) > 1 || expandedIds.includes(scene.id);
-	}
-
-	async function breakIntoShots(scene: Scene) {
-		if (expandingIds.length > 0 || expandingAll) return;
-		expandingIds = [...expandingIds, scene.id];
-		try {
-			const res = await projects.expandClips(projectId, { scene_ids: [scene.id] });
-			expandedIds = [...new Set([...expandedIds, scene.id])];
-			await client.invalidateQueries({ queryKey: ['scenes'] });
-			toast.success(
-				t('script.toast.breakIntoShots', {
-					num: scene.order_index,
-					clips: res.scenes?.[0]?.clip_count ?? '?',
-				}),
-			);
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('script.toast.breakFail'));
-		} finally {
-			expandingIds = expandingIds.filter((id) => id !== scene.id);
-		}
-	}
-
-	async function breakAllIntoShots() {
-		if (expandingIds.length > 0 || expandingAll) return;
-		if (
-			!window.confirm(t('script.toast.breakAllConfirm', { count: sceneCount }))
-		)
-			return;
-		expandingAll = true;
-		try {
-			const res = await projects.expandClips(projectId, { all: true });
-			expandedIds = scenes.map((s) => s.id);
-			await client.invalidateQueries({ queryKey: ['scenes'] });
-			toast.success(t('script.toast.boardExpanded', { count: res.total_clips }));
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('script.toast.breakAllFail'));
-		} finally {
-			expandingAll = false;
-		}
-	}
-
-	async function deleteClip(clip: Clip, scene: Scene) {
-		try {
-			await projects.deleteClip(projectId, clip.id);
-			await client.invalidateQueries({ queryKey: ['scenes'] });
-			toast.success(t('script.toast.deletedShot', { num: `${scene.order_index}.${clip.order_index}` }));
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('script.toast.deleteClipFail'));
-		}
-	}
-
-	const saveMutation = createMutation({
-		mutationFn: () =>
-			projects.updateScene(projectId, editing!.id, {
-				heading: editing!.heading,
-				action: editing!.action,
-				dialog: editing!.dialog,
-				duration_sec: editing!.duration_sec,
-			}),
-		onSuccess: () => {
-			editing = null;
-			editOpen = false;
-			client.invalidateQueries({ queryKey: ['scenes'] });
-			toast.success(t('script.toast.sceneSaved'));
-		},
-		onError: (err) => {
-			toast.error(err instanceof Error ? err.message : t('script.toast.saveSceneFail'));
-		},
-	});
-
-	// Chain-from-previous toggle — persists on the scene; consumed at render time.
-	let chainPendingId = $state<number | null>(null);
-	async function toggleChain(scene: Scene) {
-		if (chainPendingId != null) return;
-		chainPendingId = scene.id;
-		try {
-			await projects.updateScene(projectId, scene.id, {
-				chain_from_prev: !scene.chain_from_prev,
-			});
-			await client.invalidateQueries({ queryKey: ['scenes'] });
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('script.toast.updateSceneFail'));
-		} finally {
-			chainPendingId = null;
-		}
-	}
-
-	function jobForScene(sceneId: number): Job | undefined {
-		const jobs = ($jobsQuery.data ?? []).filter(
-			(j) => j.scene_id === sceneId && j.kind === 'video',
-		);
-		if (jobs.length === 0) return undefined;
-		return [...jobs].sort((a, b) => b.id - a.id)[0];
-	}
-
-	function jobForClip(clipId: number): Job | undefined {
-		const jobs = ($jobsQuery.data ?? []).filter(
-			(j) => (j as Job & { clip_id?: number | null }).clip_id === clipId && j.kind === 'video',
-		);
-		if (jobs.length === 0) return undefined;
-		return [...jobs].sort((a, b) => b.id - a.id)[0];
-	}
-
-	/** Per-scene production status — only uses fields the API actually exposes. */
-	function sceneStatus(scene: Scene): { status: string; label: string } {
-		const job = jobForScene(scene.id);
-		if (job && (job.status === 'pending' || job.status === 'running')) {
-			return { status: 'generating', label: t('script.status.rendering') };
-		}
-		if (job?.status === 'failed') return { status: 'failed', label: t('script.status.renderFailed') };
-		if (scene.video_path || job?.status === 'done') {
-			return { status: 'ready', label: t('script.status.clipReady') };
-		}
-		return { status: 'idle', label: t('script.status.noClip') };
-	}
-
-	function locationName(scene: Scene): string | null {
-		if (scene.location_id == null) return null;
-		const locs = $assetsQuery.data?.locations ?? [];
-		return locs.find((l) => l.id === scene.location_id)?.name ?? null;
-	}
-
-	function avatarFor(char: { portrait_path: string | null; sheet_path: string | null }) {
-		return assetUrl(char.portrait_path ?? char.sheet_path);
-	}
-
-	function initialsOf(name: string): string {
-		const parts = name.trim().split(/\s+/).filter(Boolean);
-		if (parts.length === 0) return '?';
-		return parts
-			.slice(0, 2)
-			.map((p) => p[0].toUpperCase())
-			.join('');
-	}
-
-	/** Hide a broken avatar image (portrait moved/deleted on disk), revealing initials. */
-	function hideBrokenAvatar(e: Event) {
-		const img = e.currentTarget as HTMLImageElement | null;
-		if (img) img.style.display = 'none';
-	}
-
-	function formatClock(sec: number): string {
-		const s = Math.max(0, Math.round(sec));
-		const m = Math.floor(s / 60);
-		const r = s % 60;
-		return `${m}:${r.toString().padStart(2, '0')}`;
-	}
-
-	async function move(sceneId: number, dir: -1 | 1) {
-		if (busy) return;
-		const list = $scenesQuery.data?.scenes ?? [];
-		const idx = list.findIndex((s) => s.id === sceneId);
-		const swap = idx + dir;
-		if (idx < 0 || swap < 0 || swap >= list.length) return;
-		const ids = list.map((s) => s.id);
-		[ids[idx], ids[swap]] = [ids[swap], ids[idx]];
-		await projects.reorderScenes(projectId, ids);
-		client.invalidateQueries({ queryKey: ['scenes'] });
-	}
-
-	/** Hand off script regeneration to a fresh, project-linked agent chat. */
-	function requestRegenerate() {
-		if (busy) return;
-		goto(agentDeepLink(projectId, 'script'));
-	}
-
-	function openEdit(scene: Scene) {
-		editing = { ...scene };
-		editOpen = true;
-	}
-
-	async function addScene() {
-		if (busy) return;
-		adding = true;
-		try {
-			const existing = $scenesQuery.data?.scenes ?? [];
-			const nextIndex = existing.length + 1;
-			const created = await projects.createScene(projectId, {
-				order_index: nextIndex,
-				heading: `NEW SCENE ${nextIndex}`,
-				action: '',
-				dialog: '',
-				duration_sec: 5,
-			});
-			// Keep order_index contiguous 1..n so Regenerate sees the real board size
-			const ids = [...existing.map((s) => s.id), created.id];
-			await projects.reorderScenes(projectId, ids);
-			await client.invalidateQueries({ queryKey: ['scenes'] });
-			await client.refetchQueries({ queryKey: ['scenes', projectId] });
-			editing = { ...created, order_index: nextIndex, heading: `NEW SCENE ${nextIndex}` };
-			editOpen = true;
-			highlightId = created.id;
-			await tick();
-			document
-				.getElementById(`scene-${created.id}`)
-				?.scrollIntoView({ behavior: 'smooth', block: 'center' });
-			toast.success(t('script.toast.sceneAdded', { num: nextIndex }));
-			window.setTimeout(() => {
-				if (highlightId === created.id) highlightId = null;
-			}, 2800);
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('script.toast.addSceneFail'));
-		} finally {
-			adding = false;
-		}
-	}
-
-	function requestDelete(scene: Scene) {
-		if (busy) return;
-		sceneToDelete = scene;
-		deleteOpen = true;
-	}
-
-	async function confirmDeleteScene() {
-		const scene = sceneToDelete;
-		sceneToDelete = null;
-		if (!scene || busy) return;
-		const label = scene.heading?.trim() || `Scene #${scene.order_index}`;
-		deletingId = scene.id;
-		try {
-			await projects.deleteScene(projectId, scene.id);
-			if (editing?.id === scene.id) {
-				editing = null;
-				editOpen = false;
-			}
-			const remaining = ($scenesQuery.data?.scenes ?? [])
-				.filter((s) => s.id !== scene.id)
-				.map((s) => s.id);
-			if (remaining.length > 0) {
-				await projects.reorderScenes(projectId, remaining);
-			}
-			await client.invalidateQueries({ queryKey: ['scenes'] });
-			toast.success(t('script.toast.deleted', { name: label }));
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('script.toast.deleteFailed'));
-		} finally {
-			deletingId = null;
-		}
-	}
-</script>
-
-<header class="stage-header">
-	<div>
-		<h2>3. Script</h2>
-		<p class="muted">
-			Estimated duration: {formatClock(totalSec)}
-			{#if targetSec > 0}
-				/ target ~{formatClock(targetSec)}
-			{/if}
-			{#if sceneCount > 0}
-				· {sceneCount} scenes
-				{#if totalClips > 0}
-					/ {totalClips} shot clips
-				{/if}
-			{/if}
-		</p>
-	</div>
-	<div class="stage-actions">
-		<Button variant="secondary" disabled={busy} loading={adding} onclick={addScene}>
-			<Icon name="plus" size={14} /> {t('script.addScene')}
-		</Button>
-		<Button
-			variant="secondary"
-			disabled={busy || expandingAll || expandingIds.length > 0 || sceneCount === 0}
-			loading={expandingAll}
-			onclick={breakAllIntoShots}
-			title={t('script.breakAllTitle')}
-		>
-			<Icon name="film" size={14} /> {t('script.breakAllIntoShots')}
-		</Button>
-		<Button variant="primary" disabled={busy} onclick={requestRegenerate}>
-			<Icon name="sparkle" size={15} /> {t('script.regenerate')}
-		</Button>
-	</div>
-</header>
-
-<div class="script-panel">
-	{#if $scenesQuery.isLoading}
-		<div class="card">{t('script.loadingScenes')}</div>
-	{:else if sceneCount === 0}
-		<EmptyState
-			title={t('script.noScenesTitle')}
-			body={t('script.noScenesBody')}
-		>
-			{#snippet icon()}
-				<Icon name="script" size={28} />
-			{/snippet}
-			{#snippet action()}
-				<Button variant="secondary" disabled={busy} loading={adding} onclick={addScene}>
-					<Icon name="plus" size={14} /> {t('script.addScene')}
-				</Button>
-			{/snippet}
-		</EmptyState>
-	{:else}
-		{#each scenes as scene, i (scene.id)}
-			{@const st = sceneStatus(scene)}
-			{@const locName = locationName(scene)}
-			<article
-				id="scene-{scene.id}"
-				class="card scene"
-				class:fresh={highlightId === scene.id}
-				class:deleting={deletingId === scene.id}
-			>
-				<div class="scene-head">
-					<div class="scene-title">
-						<span class="grip" aria-hidden="true"><Icon name="drag" size={14} /></span>
-						<span class="num">#{scene.order_index}</span>
-						<strong>{scene.heading || t('script.untitledScene')}</strong>
-						{#if highlightId === scene.id}
-							<span class="fresh-tag">{t('script.justAdded')}</span>
-						{/if}
-						<StatusChip status={st.status} label={st.label} />
-					</div>
-					<div class="actions">
-						<button
-							type="button"
-							class="icon-btn"
-							aria-label={t('script.moveSceneUp')}
-							title={t('script.moveSceneUp')}
-							disabled={busy || i === 0}
-							onclick={() => move(scene.id, -1)}
-						>
-							<Icon name="chevron-up" size={15} />
-						</button>
-						<button
-							type="button"
-							class="icon-btn"
-							aria-label={t('script.moveSceneDown')}
-							title={t('script.moveSceneDown')}
-							disabled={busy || i === sceneCount - 1}
-							onclick={() => move(scene.id, 1)}
-						>
-							<Icon name="chevron-down" size={15} />
-						</button>
-						<Button variant="secondary" size="sm" disabled={busy} onclick={() => openEdit(scene)}>
-							{t('script.edit')}
-						</Button>
-						<Button
-							variant="danger"
-							size="sm"
-							disabled={busy}
-							loading={deletingId === scene.id}
-							onclick={() => requestDelete(scene)}
-						>
-							{t('script.delete')}
-						</Button>
-					</div>
-				</div>
-				{#if scene.action}
-					<p class="muted">{scene.action}</p>
-				{:else}
-					<p class="muted empty-line">{t('script.noActionYet')}</p>
-				{/if}
-				{#if scene.dialog}
-					<pre class="dialog">{scene.dialog}</pre>
-				{/if}
-				<div class="clip-block">
-					<div class="clip-head">
-						<span class="clip-title">
-							<Icon name="film" size={12} />
-							{(scene.clips ?? []).length}
-							{((scene.clips ?? []).length === 1 ? t('script.shotClipSingular') : t('script.shotClipPlural', { n: (scene.clips ?? []).length }))}
-							{#if (scene.clips ?? []).some((c) => c.clip_path)}
-								· {t('script.renderedCount', { count: (scene.clips ?? []).filter((c) => c.clip_path).length })}
-							{/if}
-						</span>
-						<Button
-							variant="secondary"
-							size="sm"
-							disabled={busy || expandingIds.length > 0 || expandingAll}
-							loading={expandingIds.includes(scene.id)}
-							onclick={() => breakIntoShots(scene)}
-							title={isExpanded(scene) ? t('script.rebreakTitle') : t('script.breakTitle')}
-						>
-							{isExpanded(scene) ? t('script.rebreak') : t('script.break')}
-						</Button>
-					</div>
-					{#if isExpanded(scene) && (scene.clips ?? []).length > 1}
-						<ul class="clip-list">
-							{#each scene.clips ?? [] as clip (clip.id)}
-								{@const clipJob = jobForClip(clip.id)}
-								<li class="clip-row">
-									<span class="clip-num" class:ready={Boolean(clip.clip_path)}>
-										#{scene.order_index}.{clip.order_index}
-									</span>
-									<span class="clip-desc">{clip.description || t('script.untitledShot')}</span>
-									{#if clip.shot_size}
-										<span class="chip">{clip.shot_size}</span>
-									{/if}
-									{#if clipJob && (clipJob.status === 'pending' || clipJob.status === 'running')}
-										<span class="chip chip-render">{t('script.rendering')}</span>
-									{:else if clip.clip_path}
-										<span class="chip chip-ok">✓ {t('script.clipDone')}</span>
-									{/if}
-									{#if clip.duration_sec}
-										<span class="clip-dur">{clip.duration_sec}s</span>
-									{/if}
-									<button
-										type="button"
-										class="icon-btn"
-										aria-label={t('script.deleteShotAria', { id: `${scene.order_index}.${clip.order_index}` })}
-										title={t('script.deleteShotTitle')}
-										onclick={() => deleteClip(clip, scene)}
-									>
-										<Icon name="trash" size={13} />
-									</button>
-								</li>
-							{/each}
-						</ul>
-					{/if}
-				</div>
-				<div class="chips">
-					{#each scene.characters ?? [] as c (c.id)}
-						{@const avatar = avatarFor(c)}
-						<span class="chip">
-							<span class="avatar">
-								<span class="initials" aria-hidden="true">{initialsOf(c.name)}</span>
-								{#if avatar}
-									<img src={avatar} alt="" loading="lazy" onerror={hideBrokenAvatar} />
-								{/if}
-							</span>
-							{c.name}
-						</span>
-					{/each}
-					{#if locName}
-						<span class="chip"><Icon name="folder" size={12} /> {locName}</span>
-					{/if}
-					{#if scene.duration_sec}
-						<span class="chip"><Icon name="clock" size={12} /> {formatClock(scene.duration_sec)}</span>
-					{/if}
-					{#if i > 0}
-						<button
-							type="button"
-							class="chip chip-toggle"
-							class:chip-on={Boolean(scene.chain_from_prev)}
-							disabled={chainPendingId === scene.id}
-						title={t('script.chainTitle')}
-						onclick={() => toggleChain(scene)}
-					>
-						<Icon name="film" size={12} />
-						{Boolean(scene.chain_from_prev) ? t('script.chainOn') : t('script.chainOff')}
-						</button>
-					{/if}
-				</div>
-			</article>
-		{/each}
-	{/if}
-</div>
-
-<Modal
-	bind:open={editOpen}
-	title={editing ? t('script.editSceneNumbered', { n: editing.order_index }) : t('script.editScene')}
-	onclose={() => (editing = null)}
->
-	{#if editing}
-		<label class="field">
-			<span class="field-label">{t('script.headingField')}</span>
-			<input class="field-input" bind:value={editing.heading} placeholder={t('script.headingPlaceholder')} />
-		</label>
-		<label class="field">
-			<span class="field-label">{t('script.actionField')}</span>
-			<textarea
-				class="field-textarea"
-				bind:value={editing.action}
-				rows="4"
-				placeholder={t('script.actionPlaceholder')}
-			></textarea>
-		</label>
-		<label class="field">
-			<span class="field-label">{t('script.dialogField')}</span>
-			<textarea
-				class="field-textarea"
-				bind:value={editing.dialog}
-				rows="4"
-				placeholder={t('script.dialogPlaceholder')}
-			></textarea>
-		</label>
-		<label class="field">
-			<span class="field-label">{t('script.durationField')}</span>
-			<input class="field-input" type="number" bind:value={editing.duration_sec} min="1" />
-		</label>
-	{/if}
-	{#snippet footer()}
-		<Button variant="ghost" onclick={() => (editOpen = false)}>{t('common.cancel')}</Button>
-		<Button
-			variant="primary"
-			loading={$saveMutation.isPending}
-			onclick={() => $saveMutation.mutate()}
-		>
-			{t('script.save')}
-		</Button>
-	{/snippet}
-</Modal>
-
-<ConfirmDialog
-	bind:open={deleteOpen}
-	title={t('script.deleteSceneTitle')}
-	message={sceneToDelete
-		? t('script.deleteSceneMessage', {
-				heading: sceneToDelete.heading?.trim() || t('script.sceneNumber', { n: sceneToDelete.order_index }),
-			})
-		: ''}
-	confirmLabel={t('script.delete')}
-	danger
-	onconfirm={() => void confirmDeleteScene()}
-	oncancel={() => (sceneToDelete = null)}
-/>
-
-<style>
-	.stage-header {
-		/* Pins inside the stage scroll container so Add Scene / Regenerate
-		   stay reachable while scrolling long scripts. */
-		position: sticky;
-		top: 0;
-		z-index: 5;
-		display: flex;
-		justify-content: space-between;
-		align-items: flex-start;
-		margin-bottom: var(--space-lg);
-		gap: var(--space-md);
-		padding: 8px 0 12px;
-		background: var(--bg-primary);
-		border-bottom: 1px solid var(--border);
-	}
-	.stage-header h2 {
-		margin: 0 0 4px;
-		font-size: 22px;
-		font-weight: 700;
-	}
-	.stage-actions {
-		display: flex;
-		gap: 8px;
-	}
-	.muted {
-		color: var(--text-secondary);
-		margin: 0;
-	}
-	.script-panel {
-		position: relative;
-		min-height: 220px;
-	}
-	.card {
-		background: var(--bg-surface);
-		border: 1px solid var(--border);
-		border-radius: var(--radius-md);
-		padding: var(--space-lg);
-		margin-bottom: var(--space-md);
-		scroll-margin-top: 84px;
-		scroll-margin-bottom: 24px;
-	}
-	.scene {
-		transition:
-			border-color 0.25s ease,
-			box-shadow 0.25s ease,
-			opacity 0.2s ease;
-	}
-	.scene.fresh {
-		border-color: var(--accent);
-		box-shadow:
-			0 0 0 1px var(--accent),
-			0 0 24px var(--accent-glow);
-		animation: scene-in 0.45s ease-out;
-	}
-	.scene.deleting {
-		opacity: 0.45;
-	}
-	@keyframes scene-in {
-		from {
-			opacity: 0.35;
-			transform: translateY(10px);
-		}
-		to {
-			opacity: 1;
-			transform: none;
-		}
-	}
-	@media (prefers-reduced-motion: reduce) {
-		.scene.fresh {
-			animation: none;
-		}
-	}
-	.scene-head {
-		display: flex;
-		justify-content: space-between;
-		align-items: flex-start;
-		gap: 12px;
-		margin-bottom: 8px;
-	}
-	.scene-title {
-		display: flex;
-		flex-wrap: wrap;
-		align-items: center;
-		gap: 8px;
-		min-width: 0;
-	}
-	.grip {
-		display: inline-flex;
-		color: var(--text-muted);
-		cursor: grab;
-		opacity: 0.6;
-	}
-	.num {
-		color: var(--accent);
-		font-weight: 700;
-	}
-	.fresh-tag {
-		font-size: 10px;
-		font-weight: 700;
-		letter-spacing: 0.06em;
-		text-transform: uppercase;
-		color: var(--accent);
-		background: var(--accent-glow);
-		border-radius: 999px;
-		padding: 2px 8px;
-	}
-	.actions {
-		display: flex;
-		flex-wrap: wrap;
-		align-items: center;
-		gap: 6px;
-		flex-shrink: 0;
-	}
-	.icon-btn {
-		display: inline-flex;
-		align-items: center;
-		justify-content: center;
-		width: 28px;
-		height: 28px;
-		border: 1px solid transparent;
-		border-radius: var(--radius-sm);
-		background: transparent;
-		color: var(--text-secondary);
-		cursor: pointer;
-	}
-	.icon-btn:hover:not(:disabled) {
-		background: rgba(255, 255, 255, 0.05);
-		color: var(--text-primary);
-		border-color: var(--border);
-	}
-	.icon-btn:disabled {
-		opacity: 0.35;
-		cursor: not-allowed;
-	}
-	.icon-btn:focus-visible {
-		outline: 2px solid var(--accent);
-		outline-offset: 2px;
-	}
-	.empty-line {
-		font-style: italic;
-		color: var(--text-muted);
-	}
-	.dialog {
-		background: var(--bg-elevated);
-		padding: 12px;
-		border-radius: var(--radius-sm);
-		white-space: pre-wrap;
-		font-family: var(--font-mono);
-		font-size: 13px;
-	}
-	.chips {
-		display: flex;
-		flex-wrap: wrap;
-		gap: 6px;
-		margin-top: 10px;
-	}
-	.chip {
-		display: inline-flex;
-		align-items: center;
-		gap: 6px;
-		background: var(--bg-elevated);
-		border: 1px solid var(--border);
-		border-radius: 999px;
-		padding: 2px 10px;
-		font-size: 12px;
-		color: var(--text-secondary);
-	}
-	.chip-toggle {
-		cursor: pointer;
-		font-family: inherit;
-	}
-	.chip-toggle:hover {
-		color: var(--text-primary);
-		border-color: #52525b;
-	}
-	.chip-toggle:disabled {
-		opacity: 0.6;
-		cursor: wait;
-	}
-	.chip-on {
-		color: var(--accent);
-		border-color: var(--accent);
-		background: color-mix(in srgb, var(--accent) 12%, var(--bg-elevated));
-	}
-	.clip-block {
-		margin-top: 10px;
-		border-top: 1px dashed var(--border);
-		padding-top: 8px;
-	}
-	.clip-head {
-		display: flex;
-		justify-content: space-between;
-		align-items: center;
-		gap: 8px;
-	}
-	.clip-title {
-		display: inline-flex;
-		align-items: center;
-		gap: 6px;
-		font-size: 12px;
-		font-weight: 600;
-		color: var(--text-secondary);
-	}
-	.clip-list {
-		list-style: none;
-		margin: 8px 0 0;
-		padding: 0;
-		display: flex;
-		flex-direction: column;
-		gap: 4px;
-	}
-	.clip-row {
-		display: flex;
-		align-items: center;
-		gap: 8px;
-		background: var(--bg-elevated);
-		border: 1px solid var(--border);
-		border-radius: var(--radius-sm);
-		padding: 4px 8px;
-		font-size: 12px;
-	}
-	.clip-num {
-		font-family: var(--font-mono);
-		font-weight: 700;
-		color: var(--text-secondary);
-		flex-shrink: 0;
-	}
-	.clip-num.ready {
-		color: var(--accent);
-	}
-	.clip-desc {
-		flex: 1;
-		min-width: 0;
-		overflow: hidden;
-		text-overflow: ellipsis;
-		white-space: nowrap;
-		color: var(--text-primary);
-	}
-	.clip-dur {
-		color: var(--text-muted);
-		flex-shrink: 0;
-	}
-	.chip-ok {
-		color: var(--accent);
-		border-color: var(--accent);
-	}
-	.chip-render {
-		color: var(--warning, #eab308);
-		border-color: var(--warning, #eab308);
-	}
-	.avatar {
-		position: relative;
-		width: 20px;
-		height: 20px;
-		border-radius: 50%;
-		overflow: hidden;
-		background: var(--bg-surface);
-		border: 1px solid var(--border);
-		flex-shrink: 0;
-		display: inline-flex;
-		align-items: center;
-		justify-content: center;
-	}
-	.avatar img {
-		position: absolute;
-		inset: 0;
-		width: 100%;
-		height: 100%;
-		object-fit: cover;
-	}
-	.initials {
-		font-size: 9px;
-		font-weight: 700;
-		color: var(--accent);
-		letter-spacing: 0.02em;
-	}
-</style>
@@ -1,947 +0,0 @@
-<script lang="ts">
-	import { goto } from '$app/navigation';
-	import { createMutation, useQueryClient } from '@tanstack/svelte-query';
-	import {
-		projects,
-		type Beat,
-		type Character,
-		type Item,
-		type Location,
-		type StoryData,
-	} from '$lib/api';
-	import {
-		buildStoryDraftPromptPreview,
-		estimateTargetSeconds,
-		recommendBeatCount,
-		recommendSceneCount,
-	} from '$lib/durationBudget';
-	import { toast } from '$lib/toast';
-	import { t } from '$lib/i18n.svelte';
-	import { agentDeepLink } from '$lib/agentTasks';
-	import Button from '$lib/components/ui/Button.svelte';
-	import Card from '$lib/components/ui/Card.svelte';
-	import StatusChip from '$lib/components/ui/StatusChip.svelte';
-	import Modal from '$lib/components/ui/Modal.svelte';
-	import ConfirmDialog from '$lib/components/ui/ConfirmDialog.svelte';
-	import EmptyState from '$lib/components/ui/EmptyState.svelte';
-	import Spinner from '$lib/components/ui/Spinner.svelte';
-	import Icon from '$lib/components/ui/Icon.svelte';
-
-	interface Props {
-		projectId: number;
-		story: StoryData;
-		configured: boolean;
-		onGoAssets?: () => void;
-	}
-
-	let { projectId, story, configured, onGoAssets }: Props = $props();
-	const client = useQueryClient();
-
-	const GENRES = [
-		'Adventure / Mystery',
-		'Drama',
-		'Sci-Fi',
-		'Fantasy',
-		'Horror',
-		'Romance',
-		'Thriller',
-	];
-	const LENGTHS_HINT = $derived(t('story.lengthsHint'));
-	const TONES = [
-		'Cinematic, atmospheric',
-		'Dark, tense',
-		'Whimsical, warm',
-		'Gritty, realistic',
-		'Epic, sweeping',
-	];
-
-	const GENRE_KEYS: Record<string, string> = {
-		'Adventure / Mystery': 'genres.adventure',
-		Drama: 'genres.drama',
-		'Sci-Fi': 'genres.scifi',
-		Fantasy: 'genres.fantasy',
-		Horror: 'genres.horror',
-		Romance: 'genres.romance',
-		Thriller: 'genres.thriller',
-	};
-	const TONE_KEYS: Record<string, string> = {
-		'Cinematic, atmospheric': 'tones.cinematic',
-		'Dark, tense': 'tones.dark',
-		'Whimsical, warm': 'tones.whimsical',
-		'Gritty, realistic': 'tones.gritty',
-		'Epic, sweeping': 'tones.epic',
-	};
-	function genreLabel(v: string): string {
-		return t(GENRE_KEYS[v] ?? v);
-	}
-	function toneLabel(v: string): string {
-		return t(TONE_KEYS[v] ?? v);
-	}
-
-	const EXAMPLE = {
-		idea: 'A lone cartographer discovers a map that rewrites itself every midnight, leading her into a forgotten city beneath the desert.',
-		genre: 'Adventure / Mystery',
-		tone: 'Cinematic, atmospheric',
-		target_duration: '2 minutes',
-	};
-
-	let editingBeat = $state<Beat | null>(null);
-	let editingChar = $state<Character | null>(null);
-	let editingLoc = $state<Location | null>(null);
-	let editingItem = $state<Item | null>(null);
-	let beatModalOpen = $state(false);
-	let charModalOpen = $state(false);
-	let locModalOpen = $state(false);
-	let itemModalOpen = $state(false);
-	let confirmExampleOpen = $state(false);
-	let deletingBeat = $state<Beat | null>(null);
-	let beatDeleteOpen = $state(false);
-	let addingBeat = $state(false);
-	// Static defaults — the $effect below syncs all drafts from the story prop.
-	let ideaDraft = $state('');
-	let genreDraft = $state(GENRES[0]);
-	let toneDraft = $state(TONES[0]);
-	let lengthDraft = $state('2 minutes');
-	let showDraftPrompt = $state(false);
-
-	type SaveState = 'idle' | 'saving' | 'saved' | 'error';
-	let saveState = $state<SaveState>('idle');
-	let savedTimer: ReturnType<typeof setTimeout> | null = null;
-
-	const beatBudget = $derived(recommendBeatCount(lengthDraft));
-	const sceneBudget = $derived(recommendSceneCount(lengthDraft));
-	const secsBudget = $derived(estimateTargetSeconds(lengthDraft));
-	const draftPromptPreview = $derived(
-		buildStoryDraftPromptPreview({
-			title: story.project.title,
-			idea: ideaDraft,
-			genre: genreDraft,
-			tone: toneDraft,
-			targetDuration: lengthDraft,
-		}),
-	);
-
-	$effect(() => {
-		ideaDraft = story.project.idea ?? '';
-		genreDraft = story.project.genre || GENRES[0];
-		toneDraft = story.project.tone || TONES[0];
-		lengthDraft = story.project.target_duration || '2 minutes';
-	});
-
-	$effect(() => {
-		return () => {
-			if (savedTimer) clearTimeout(savedTimer);
-		};
-	});
-
-	function armSavedTimer() {
-		if (savedTimer) clearTimeout(savedTimer);
-		savedTimer = setTimeout(() => {
-			if (saveState === 'saved') saveState = 'idle';
-		}, 2000);
-	}
-
-	const saveProject = createMutation({
-		mutationFn: (payload: {
-			idea?: string;
-			genre?: string;
-			tone?: string;
-			target_duration?: string;
-		}) => projects.update(projectId, payload),
-		onMutate: () => {
-			saveState = 'saving';
-		},
-		onSuccess: () => {
-			client.invalidateQueries({ queryKey: ['story'] });
-			saveState = 'saved';
-			armSavedTimer();
-		},
-		onError: (err) => {
-			saveState = 'error';
-			toast.error(err instanceof Error ? err.message : t('story.saveSettingsFailed'));
-		},
-	});
-
-	/** Autosave path — returns false on failure (mutation onError already toasted). */
-	async function persistSettings(): Promise<boolean> {
-		try {
-			await $saveProject.mutateAsync({
-				idea: ideaDraft,
-				genre: genreDraft || undefined,
-				tone: toneDraft || undefined,
-				target_duration: lengthDraft || undefined,
-			});
-			return true;
-		} catch {
-			return false;
-		}
-	}
-
-	async function loadExample() {
-		ideaDraft = EXAMPLE.idea;
-		genreDraft = EXAMPLE.genre;
-		toneDraft = EXAMPLE.tone;
-		lengthDraft = EXAMPLE.target_duration;
-		const saved = await persistSettings();
-		if (saved) toast.success(t('story.exampleLoaded'));
-	}
-
-	function requestLoadExample() {
-		if (ideaDraft.trim()) confirmExampleOpen = true;
-		else void loadExample();
-	}
-
-	/** Hand off to a fresh, project-linked agent chat with the composer pre-filled. */
-	async function draftStoryline() {
-		if (!configured) return;
-		const saved = await persistSettings();
-		if (!saved) return; // persistSettings already toasted the failure
-		goto(agentDeepLink(projectId, 'story'));
-	}
-
-	function openBeat(beat: Beat) {
-		editingBeat = { ...beat };
-		beatModalOpen = true;
-	}
-
-	async function addBeat() {
-		if (addingBeat) return;
-		addingBeat = true;
-		try {
-			const nextIndex =
-				story.beats.reduce((max, b) => Math.max(max, b.order_index), 0) + 1;
-			// No api.ts binding exists yet for POST /beats — call the endpoint directly.
-			const res = await fetch(`/api/projects/${projectId}/beats`, {
-				method: 'POST',
-				headers: { 'Content-Type': 'application/json' },
-				body: JSON.stringify({
-					order_index: nextIndex,
-					title: t('story.newBeat', { n: nextIndex }),
-					description: '',
-				}),
-			});
-			if (!res.ok) {
-				const body = await res.text().catch(() => 'unknown error');
-				throw new Error(`${res.status}: ${body}`);
-			}
-			const created = (await res.json()) as Beat;
-			await client.invalidateQueries({ queryKey: ['story'] });
-			toast.success(t('story.beatAdded', { index: nextIndex }));
-			openBeat(created);
-		} catch (err) {
-			toast.error(err instanceof Error ? err.message : t('story.addBeatFailed'));
-		} finally {
-			addingBeat = false;
-		}
-	}
-
-	function requestDeleteBeat(beat: Beat) {
-		deletingBeat = beat;
-		beatDeleteOpen = true;
-	}
-
-	const deleteBeatMutation = createMutation({
-		mutationFn: (beatId: number) => projects.deleteBeat(projectId, beatId),
-		onSuccess: () => {
-			client.invalidateQueries({ queryKey: ['story'] });
-			toast.success(t('story.beatDeleted'));
-		},
-		onError: (err) => {
-			toast.error(err instanceof Error ? err.message : t('story.deleteBeatFailed'));
-		},
-	});
-
-	const saveBeat = createMutation({
-		mutationFn: () =>
-			projects.updateBeat(projectId, editingBeat!.id, {
-				title: editingBeat!.title,
-				description: editingBeat!.description,
-				order_index: editingBeat!.order_index,
-			}),
-		onSuccess: () => {
-			editingBeat = null;
-			beatModalOpen = false;
-			client.invalidateQueries({ queryKey: ['story'] });
-			toast.success(t('story.beatSaved'));
-		},
-		onError: (err) => {
-			toast.error(err instanceof Error ? err.message : t('story.saveBeatFailed'));
-		},
-	});
-
-	const saveChar = createMutation({
-		mutationFn: () =>
-			projects.updateCharacter(projectId, editingChar!.id, {
-				name: editingChar!.name,
-				role: editingChar!.role,
-				age: editingChar!.age,
-				appearance: editingChar!.appearance,
-				personality: editingChar!.personality,
-				consistency_prompt: editingChar!.consistency_prompt,
-			}),
-		onSuccess: () => {
-			editingChar = null;
-			charModalOpen = false;
-			client.invalidateQueries({ queryKey: ['story'] });
-			toast.success(t('story.characterSaved'));
-		},
-		onError: (err) => {
-			toast.error(err instanceof Error ? err.message : t('story.saveCharacterFailed'));
-		},
-	});
-
-	const saveLoc = createMutation({
-		mutationFn: () =>
-			projects.updateLocation(projectId, editingLoc!.id, {
-				name: editingLoc!.name,
-				description: editingLoc!.description,
-				consistency_prompt: editingLoc!.consistency_prompt,
-			}),
-		onSuccess: () => {
-			editingLoc = null;
-			locModalOpen = false;
-			client.invalidateQueries({ queryKey: ['story'] });
-			toast.success(t('story.locationSaved'));
-		},
-		onError: (err) => {
-			toast.error(err instanceof Error ? err.message : t('story.saveLocationFailed'));
-		},
-	});
-
-	const saveItem = createMutation({
-		mutationFn: () =>
-			projects.updateItem(projectId, editingItem!.id, {
-				name: editingItem!.name,
-				description: editingItem!.description,
-				consistency_prompt: editingItem!.consistency_prompt,
-			}),
-		onSuccess: () => {
-			editingItem = null;
-			itemModalOpen = false;
-			client.invalidateQueries({ queryKey: ['story'] });
-			toast.success(t('story.itemSaved'));
-		},
-		onError: (err) => {
-			toast.error(err instanceof Error ? err.message : t('story.saveItemFailed'));
-		},
-	});
-
-	function goToAssets() {
-		goto('?stage=assets', { keepFocus: true, noScroll: true });
-	}
-
-	function beatCountLabel(n: number): string {
-		return t('story.beats', { n });
-	}
-</script>
-
-{#snippet saveIndicator()}
-	{#if saveState === 'saving'}
-		<span class="save-ind"><Spinner size="sm" /> {t('common.saving')}</span>
-	{:else if saveState === 'saved'}
-		<span class="save-ind saved"><Icon name="check" size={13} /> {t('common.saved')}</span>
-	{:else if saveState === 'error'}
-		<span class="save-ind err">
-			<Icon name="alert" size={13} /> {t('common.saveFailed')}
-			<Button variant="ghost" size="sm" onclick={() => void persistSettings()}>{t('common.retry')}</Button>
-		</span>
-	{/if}
-{/snippet}
-
-<header class="stage-header">
-	<h2>{t('story.stageTitle')}</h2>
-	<div class="stage-actions">
-		<Button
-			variant="secondary"
-			disabled={$saveProject.isPending}
-			onclick={requestLoadExample}
-		>
-			{t('story.loadExample')}
-		</Button>
-		<Button variant="primary" disabled={!configured} onclick={() => void draftStoryline()}>
-			<Icon name="sparkle" size={15} /> {t('story.draftStoryline')}
-		</Button>
-	</div>
-</header>
-
-{#if !configured}
-	<div class="banner">{t('story.llmBanner')}</div>
-{/if}
-
-<div class="stack-col">
-	<Card>
-	{#snippet header()}
-		<h3 class="card-h">{t('story.ideaTitle')}</h3>
-		{@render saveIndicator()}
-	{/snippet}
-	<textarea
-		class="field-textarea"
-		bind:value={ideaDraft}
-		rows="5"
-		placeholder={t('story.ideaPlaceholder')}
-		onblur={() => void persistSettings()}
-	></textarea>
-</Card>
-
-<Card>
-	{#snippet header()}
-		<h3 class="card-h">{t('story.settingsTitle')}</h3>
-		{@render saveIndicator()}
-	{/snippet}
-	<div class="grid-3">
-		<label class="field">
-			<span class="field-label">{t('projects.genre')}</span>
-			<select
-				class="field-select"
-				bind:value={genreDraft}
-				onchange={() => void persistSettings()}
-			>
-{#each GENRES as g}
-					<option value={g}>{genreLabel(g)}</option>
-				{/each}
-				{#if genreDraft && !GENRES.includes(genreDraft)}
-					<option value={genreDraft}>{genreLabel(genreDraft)}</option>
-				{/if}
-			</select>
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.targetLength')}</span>
-			<input
-				class="field-input"
-				type="text"
-				bind:value={lengthDraft}
-				placeholder={LENGTHS_HINT}
-				onblur={() => void persistSettings()}
-			/>
-			<span class="field-hint beat-hint">
-				{t('story.lengthHint', { secs: secsBudget, beats: beatBudget, scenes: sceneBudget })}
-			</span>
-		</label>
-		<label class="field">
-			<span class="field-label">{t('projects.tone')}</span>
-			<select
-				class="field-select"
-				bind:value={toneDraft}
-				onchange={() => void persistSettings()}
-			>
-				{#each TONES as tone}
-					<option value={tone}>{toneLabel(tone)}</option>
-				{/each}
-				{#if toneDraft && !TONES.includes(toneDraft)}
-					<option value={toneDraft}>{toneLabel(toneDraft)}</option>
-				{/if}
-			</select>
-		</label>
-	</div>
-</Card>
-
-<Card>
-	{#snippet header()}
-		<h3 class="card-h">{t('story.draftPromptTitle')}</h3>
-		<Button variant="ghost" size="sm" onclick={() => (showDraftPrompt = !showDraftPrompt)}>
-			{showDraftPrompt ? t('story.hidePrompt') : t('story.showPrompt')}
-		</Button>
-	{/snippet}
-	{#if showDraftPrompt}
-		<pre class="prompt-preview">{draftPromptPreview}</pre>
-		<p class="field-hint">
-			{t('story.promptExplain')}
-		</p>
-	{:else}
-		<p class="field-hint prompt-collapsed">
-			{t('story.promptCollapsedHint')}
-		</p>
-	{/if}
-</Card>
-
-<Card>
-	{#snippet header()}
-		<h3 class="card-h">{t('story.beatsTitle')}</h3>
-		<div class="head-actions">
-			{#if story.beats.length}
-				<StatusChip status="ready" label={beatCountLabel(story.beats.length)} />
-			{/if}
-			<Button variant="secondary" size="sm" loading={addingBeat} onclick={addBeat}>
-				<Icon name="plus" size={14} /> {t('story.addBeat')}
-			</Button>
-		</div>
-	{/snippet}
-	{#if story.beats.length === 0}
-		<EmptyState
-			title={t('story.noBeats')}
-			body={t('story.noBeatsBody')}
-		>
-			{#snippet icon()}
-				<Icon name="story" size={28} />
-			{/snippet}
-			{#snippet action()}
-				<Button variant="secondary" size="sm" loading={addingBeat} onclick={addBeat}>
-					<Icon name="plus" size={14} /> {t('story.addBeatManual')}
-				</Button>
-			{/snippet}
-		</EmptyState>
-	{:else}
-		<div class="beat-list">
-			{#each story.beats as beat (beat.id)}
-				<div class="beat-row">
-					<button type="button" class="beat" onclick={() => openBeat(beat)}>
-						<div class="beat-number">{beat.order_index}</div>
-						<div class="beat-body">
-							<h4>{beat.title}</h4>
-							<p>{beat.description}</p>
-						</div>
-					</button>
-					<div class="beat-actions">
-						<Button
-							variant="ghost"
-							size="sm"
-							title={t('story.deleteBeat', { index: beat.order_index })}
-							onclick={() => requestDeleteBeat(beat)}
-						>
-							<Icon name="trash" size={14} /><span class="sr-only">{t('story.deleteBeat', { index: beat.order_index })}</span>
-						</Button>
-					</div>
-				</div>
-			{/each}
-		</div>
-		<div class="beats-footer">
-			<Button variant="primary" onclick={goToAssets}>
-				{t('story.continueAssets')} <Icon name="chevron-right" size={15} />
-			</Button>
-		</div>
-	{/if}
-</Card>
-
-{#if story.characters.length || story.locations.length || story.items.length}
-	<Card>
-		{#snippet header()}
-			<h3 class="card-h">{t('story.extracted')}</h3>
-			<Button variant="ghost" size="sm" onclick={goToAssets}>
-				{t('story.openAssets')} <Icon name="chevron-right" size={14} />
-			</Button>
-		{/snippet}
-		<div class="chips">
-			{#each story.characters as char (char.id)}
-				<button
-					type="button"
-					class="chip"
-					onclick={() => {
-						editingChar = { ...char };
-						charModalOpen = true;
-					}}
-					title={char.appearance ?? ''}
-				>
-					<span class="chip-tag">{t('story.charTag')}</span>
-					{char.name}
-				</button>
-			{/each}
-			{#each story.locations as loc (loc.id)}
-				<button
-					type="button"
-					class="chip"
-					onclick={() => {
-						editingLoc = { ...loc };
-						locModalOpen = true;
-					}}
-					title={loc.description ?? ''}
-				>
-					<span class="chip-tag">{t('story.envTag')}</span>
-					{loc.name}
-				</button>
-			{/each}
-			{#each story.items as item (item.id)}
-				<button
-					type="button"
-					class="chip"
-					onclick={() => {
-						editingItem = { ...item };
-						itemModalOpen = true;
-					}}
-					title={item.description ?? ''}
-				>
-					<span class="chip-tag">{t('story.itemTag')}</span>
-					{item.name}
-				</button>
-			{/each}
-		</div>
-	</Card>
-{/if}
-</div>
-
-<Modal bind:open={beatModalOpen} title={t('story.editBeatTitle')} onclose={() => (editingBeat = null)}>
-	{#if editingBeat}
-		<label class="field">
-			<span class="field-label">{t('story.fieldTitle')}</span>
-			<input class="field-input" bind:value={editingBeat.title} />
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldDescription')}</span>
-			<textarea class="field-textarea" rows="4" bind:value={editingBeat.description}></textarea>
-		</label>
-	{/if}
-	{#snippet footer()}
-		<Button variant="ghost" onclick={() => (beatModalOpen = false)}>{t('common.cancel')}</Button>
-		<Button variant="primary" loading={$saveBeat.isPending} onclick={() => $saveBeat.mutate()}>
-			{t('common.save')}
-		</Button>
-	{/snippet}
-</Modal>
-
-<Modal bind:open={charModalOpen} title={t('story.editCharTitle')} onclose={() => (editingChar = null)}>
-	{#if editingChar}
-		<label class="field">
-			<span class="field-label">{t('story.fieldName')}</span>
-			<input class="field-input" bind:value={editingChar.name} placeholder={t('story.fieldName')} />
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldRole')}</span>
-			<input class="field-input" bind:value={editingChar.role} placeholder={t('story.fieldRole')} />
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldAge')}</span>
-			<input class="field-input" bind:value={editingChar.age} placeholder={t('story.fieldAge')} />
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldAppearance')}</span>
-			<textarea
-				class="field-textarea"
-				rows="3"
-				bind:value={editingChar.appearance}
-				placeholder={t('story.fieldAppearance')}
-			></textarea>
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldPersonality')}</span>
-			<textarea
-				class="field-textarea"
-				rows="2"
-				bind:value={editingChar.personality}
-				placeholder={t('story.fieldPersonality')}
-			></textarea>
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldConsistency')}</span>
-			<textarea
-				class="field-textarea"
-				rows="2"
-				bind:value={editingChar.consistency_prompt}
-				placeholder={t('story.fieldConsistency')}
-			></textarea>
-		</label>
-	{/if}
-	{#snippet footer()}
-		<Button variant="ghost" onclick={() => (charModalOpen = false)}>{t('common.cancel')}</Button>
-		<Button variant="primary" loading={$saveChar.isPending} onclick={() => $saveChar.mutate()}>
-			{t('common.save')}
-		</Button>
-	{/snippet}
-</Modal>
-
-<Modal bind:open={locModalOpen} title={t('story.editLocTitle')} onclose={() => (editingLoc = null)}>
-	{#if editingLoc}
-		<label class="field">
-			<span class="field-label">{t('story.fieldName')}</span>
-			<input class="field-input" bind:value={editingLoc.name} placeholder={t('story.fieldName')} />
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldDescription')}</span>
-			<textarea
-				class="field-textarea"
-				rows="3"
-				bind:value={editingLoc.description}
-				placeholder={t('story.fieldDescription')}
-			></textarea>
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldConsistency')}</span>
-			<textarea
-				class="field-textarea"
-				rows="2"
-				bind:value={editingLoc.consistency_prompt}
-				placeholder={t('story.fieldConsistency')}
-			></textarea>
-		</label>
-	{/if}
-	{#snippet footer()}
-		<Button variant="ghost" onclick={() => (locModalOpen = false)}>{t('common.cancel')}</Button>
-		<Button variant="primary" loading={$saveLoc.isPending} onclick={() => $saveLoc.mutate()}>
-			{t('common.save')}
-		</Button>
-	{/snippet}
-</Modal>
-
-<Modal bind:open={itemModalOpen} title={t('story.editItemTitle')} onclose={() => (editingItem = null)}>
-	{#if editingItem}
-		<label class="field">
-			<span class="field-label">{t('story.fieldName')}</span>
-			<input class="field-input" bind:value={editingItem.name} placeholder={t('story.fieldName')} />
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldDescription')}</span>
-			<textarea
-				class="field-textarea"
-				rows="3"
-				bind:value={editingItem.description}
-				placeholder={t('story.fieldDescription')}
-			></textarea>
-		</label>
-		<label class="field">
-			<span class="field-label">{t('story.fieldConsistency')}</span>
-			<textarea
-				class="field-textarea"
-				rows="2"
-				bind:value={editingItem.consistency_prompt}
-				placeholder={t('story.fieldConsistency')}
-			></textarea>
-		</label>
-	{/if}
-	{#snippet footer()}
-		<Button variant="ghost" onclick={() => (itemModalOpen = false)}>{t('common.cancel')}</Button>
-		<Button variant="primary" loading={$saveItem.isPending} onclick={() => $saveItem.mutate()}>
-			{t('common.save')}
-		</Button>
-	{/snippet}
-</Modal>
-
-<ConfirmDialog
-	bind:open={confirmExampleOpen}
-	title={t('story.confirmExampleTitle')}
-	message={t('story.confirmExampleMsg')}
-	confirmLabel={t('story.loadExample')}
-	onconfirm={() => void loadExample()}
-/>
-
-<ConfirmDialog
-	bind:open={beatDeleteOpen}
-	title={t('story.confirmDeleteBeatTitle')}
-	message={deletingBeat
-		? t('story.confirmDeleteBeatMsg', { index: deletingBeat.order_index, title: deletingBeat.title })
-		: ''}
-	confirmLabel={t('common.delete')}
-	danger
-	onconfirm={() => {
-		const id = deletingBeat?.id;
-		deletingBeat = null;
-		if (id != null) $deleteBeatMutation.mutate(id);
-	}}
-	oncancel={() => (deletingBeat = null)}
-/>
-
-<style>
-	.stage-header {
-		display: flex;
-		justify-content: space-between;
-		align-items: center;
-		margin-bottom: var(--space-lg);
-		gap: var(--space-md);
-	}
-	.stage-header h2 {
-		margin: 0;
-		font-size: 22px;
-		font-weight: 700;
-	}
-	.stage-actions {
-		display: flex;
-		gap: var(--space-sm);
-	}
-	.banner {
-		background: rgba(245, 158, 11, 0.1);
-		border: 1px solid rgba(245, 158, 11, 0.3);
-		color: var(--warning);
-		padding: var(--space-md);
-		border-radius: var(--radius-md);
-		margin-bottom: var(--space-lg);
-		font-size: 13px;
-	}
-	.stack-col {
-		position: relative;
-		display: flex;
-		flex-direction: column;
-		gap: var(--space-md);
-	}
-	.card-h {
-		margin: 0;
-		font-size: 16px;
-		color: var(--text-secondary);
-		font-weight: 600;
-	}
-	.head-actions {
-		display: flex;
-		align-items: center;
-		gap: var(--space-sm);
-	}
-	.save-ind {
-		display: inline-flex;
-		align-items: center;
-		gap: 6px;
-		font-size: 12px;
-		color: var(--text-muted);
-	}
-	.save-ind.saved {
-		color: var(--success);
-		animation: saved-fade 2s ease forwards;
-	}
-	.save-ind.err {
-		color: var(--error);
-	}
-	@keyframes saved-fade {
-		0% {
-			opacity: 0;
-		}
-		12% {
-			opacity: 1;
-		}
-		78% {
-			opacity: 1;
-		}
-		100% {
-			opacity: 0;
-		}
-	}
-	.grid-3 {
-		display: grid;
-		grid-template-columns: repeat(3, 1fr);
-		gap: var(--space-md);
-	}
-	@media (max-width: 900px) {
-		.grid-3 {
-			grid-template-columns: 1fr;
-		}
-	}
-	.grid-3 .field {
-		margin-bottom: 0;
-	}
-	.beat-hint {
-		display: block;
-	}
-	.beat-hint strong {
-		color: var(--accent);
-		font-weight: 600;
-	}
-	.prompt-preview {
-		margin: 0 0 var(--space-sm);
-		padding: 12px;
-		background: var(--bg-elevated);
-		border: 1px solid var(--border);
-		border-radius: var(--radius-sm);
-		font-family: var(--font-mono);
-		font-size: 11px;
-		line-height: 1.45;
-		white-space: pre-wrap;
-		color: var(--text-secondary);
-		max-height: 280px;
-		overflow: auto;
-	}
-	.prompt-collapsed {
-		margin: 0;
-	}
-	.beat-list {
-		display: flex;
-		flex-direction: column;
-		gap: 10px;
-	}
-	.beat-row {
-		display: flex;
-		align-items: flex-start;
-		gap: var(--space-xs);
-	}
-	.beat {
-		display: flex;
-		flex: 1;
-		min-width: 0;
-		gap: var(--space-md);
-		align-items: flex-start;
-		background: transparent;
-		border: 1px solid transparent;
-		border-radius: var(--radius-md);
-		padding: 8px;
-		cursor: pointer;
-		text-align: left;
-		color: inherit;
-		font: inherit;
-	}
-	.beat:hover {
-		border-color: var(--border);
-		background: var(--bg-elevated);
-	}
-	.beat:focus-visible {
-		outline: 2px solid var(--accent);
-		outline-offset: 2px;
-	}
-	.beat-actions {
-		flex-shrink: 0;
-		padding-top: 8px;
-	}
-	.beat-number {
-		width: 36px;
-		height: 36px;
-		border-radius: var(--radius-md);
-		background: var(--bg-elevated);
-		display: flex;
-		align-items: center;
-		justify-content: center;
-		font-weight: 700;
-		color: var(--text-secondary);
-		flex-shrink: 0;
-	}
-	.beat-body h4 {
-		margin: 0 0 4px;
-		font-size: 15px;
-		font-weight: 600;
-	}
-	.beat-body p {
-		margin: 0;
-		color: var(--text-secondary);
-		font-size: 14px;
-		line-height: 1.45;
-	}
-	.beats-footer {
-		display: flex;
-		justify-content: flex-end;
-		margin-top: var(--space-md);
-		padding-top: var(--space-md);
-		border-top: 1px solid var(--border);
-	}
-	.chips {
-		display: flex;
-		flex-wrap: wrap;
-		gap: 8px;
-	}
-	.chip {
-		display: inline-flex;
-		align-items: center;
-		gap: 6px;
-		background: var(--bg-elevated);
-		border: 1px solid var(--border);
-		border-radius: var(--radius-sm);
-		padding: 6px 10px;
-		color: var(--text-primary);
-		font-size: 13px;
-		cursor: pointer;
-	}
-	.chip:hover {
-		border-color: var(--accent);
-	}
-	.chip:focus-visible {
-		outline: 2px solid var(--accent);
-		outline-offset: 2px;
-	}
-	.chip-tag {
-		font-size: 10px;
-		text-transform: uppercase;
-		letter-spacing: 0.04em;
-		color: var(--accent);
-		font-weight: 700;
-	}
-	.sr-only {
-		position: absolute;
-		width: 1px;
-		height: 1px;
-		padding: 0;
-		margin: -1px;
-		overflow: hidden;
-		clip: rect(0, 0, 0, 0);
-		white-space: nowrap;
-		border: 0;
-	}
-</style>
@@ -37,8 +37,13 @@
 					<span class="dot"></span>
 					<Icon name={kindIcon[toast.kind]} size={15} />
 				</span>
-				<span class="msg">{toast.message}</span>
-				<button
+			<span class="msg">{toast.message}</span>
+			{#if toast.action}
+				<button type="button" class="action" onclick={() => (toast.action?.run(), dismissToast(toast.id))}>
+					{toast.action.label}
+				</button>
+			{/if}
+			<button
 					type="button"
 					class="dismiss"
 					aria-label={t('toast.dismiss')}
@@ -52,15 +57,17 @@
 {/if}

 <style>
+	/* §四.5 Toast：右下角堆叠，220ms 上移入场；成功绿点 / 失败红点。 */
 	.toast-host {
 		position: fixed;
-		top: 72px;
-		right: 20px;
-		z-index: 1000;
+		right: 24px;
+		bottom: 24px;
+		/* Above every overlay, incl. the 10000 lightbox, so feedback stays visible. */
+		z-index: 10001;
 		display: flex;
 		flex-direction: column;
 		gap: 8px;
-		max-width: min(360px, calc(100vw - 32px));
+		max-width: min(400px, calc(100vw - 32px));
 		pointer-events: none;
 	}
 	.toast {
@@ -69,23 +76,10 @@
 		align-items: flex-start;
 		gap: 10px;
 		padding: 12px 14px;
-		border-radius: var(--radius-md);
-		border: 1px solid var(--border);
-		background: var(--bg-surface);
-		box-shadow: 0 12px 32px rgba(0, 0, 0, 0.45);
-		animation: toast-in 0.22s ease-out;
-	}
-	.toast.success {
-		border-color: rgba(34, 197, 94, 0.45);
-		box-shadow:
-			0 12px 32px rgba(0, 0, 0, 0.45),
-			0 0 0 1px rgba(34, 197, 94, 0.12);
-	}
-	.toast.error {
-		border-color: rgba(239, 68, 68, 0.5);
-	}
-	.toast.info {
-		border-color: rgba(59, 130, 246, 0.45);
+		border-radius: var(--r-lg);
+		background: var(--float-bg);
+		box-shadow: var(--shadow-float);
+		animation: toast-in var(--d-enter) var(--ease-out);
 	}
 	.badge {
 		display: inline-flex;
@@ -101,21 +95,44 @@
 		background: currentColor;
 	}
 	.toast.success .badge {
-		color: var(--success);
+		color: var(--ok);
 	}
 	.toast.error .badge {
-		color: var(--error);
+		color: var(--err);
 	}
 	.toast.info .badge {
-		color: var(--info);
+		color: var(--text-2);
 	}
 	.msg {
 		flex: 1;
-		font-size: 13px;
+		font-size: var(--fs-body);
 		line-height: 1.4;
 		color: var(--text-primary);
 		font-weight: 500;
 	}
+	/* §四.5: Toast 动作（如撤销）为金色文字 */
+	.action {
+		flex-shrink: 0;
+		align-self: center;
+		padding: var(--sp-1) var(--sp-2);
+		border: 0;
+		border-radius: var(--r-sm);
+		background: transparent;
+		color: var(--accent);
+		font: inherit;
+		font-size: var(--fs-aux);
+		font-weight: 600;
+		cursor: pointer;
+	}
+	@media (hover: hover) and (pointer: fine) {
+		.action:hover {
+			background: var(--accent-soft);
+		}
+	}
+	.action:focus-visible {
+		outline: 2px solid var(--accent);
+		outline-offset: 2px;
+	}
 	.dismiss {
 		display: inline-flex;
 		align-items: center;
@@ -127,10 +144,12 @@
 		padding: 0 2px;
 		min-width: 28px;
 		min-height: 28px;
-		border-radius: 4px;
+		border-radius: var(--r-sm);
 	}
-	.dismiss:hover {
-		color: var(--text-primary);
+	@media (hover: hover) and (pointer: fine) {
+		.dismiss:hover {
+			color: var(--text-primary);
+		}
 	}
 	.dismiss:focus-visible {
 		outline: 2px solid var(--accent);
@@ -139,7 +158,7 @@
 	@keyframes toast-in {
 		from {
 			opacity: 0;
-			transform: translateY(-8px);
+			transform: translateY(8px);
 		}
 		to {
 			opacity: 1;
@@ -151,10 +170,12 @@
 			animation: none;
 		}
 	}
-	@media (max-width: 640px) {
+	:global(:root[data-reduce='1']) .toast {
+		animation: none;
+	}
+	@media (max-width: 760px) {
 		.toast-host {
-			top: auto;
-			bottom: 20px;
+			bottom: calc(var(--tabbar-h) + var(--sp-5) + env(safe-area-inset-bottom));
 			right: 16px;
 			left: 16px;
 			max-width: none;
@@ -0,0 +1,827 @@
+<script lang="ts">
+  import { createQuery, useQueryClient } from '@tanstack/svelte-query';
+  import { toStore } from 'svelte/store';
+  import {
+    apiErrorMessage,
+    assetUrl,
+    playgroundApi,
+    jobsApi,
+    workflows,
+    type ComfyEndpoint,
+    type Job,
+    type Workflow,
+  } from '$lib/api';
+  import ComfyDynamicForm from '$lib/components/ComfyDynamicForm.svelte';
+  import RefImageGrid from '$lib/components/studio/RefImageGrid.svelte';
+  import Button from '$lib/components/ui/Button.svelte';
+  import ConfirmDialog from '$lib/components/ui/ConfirmDialog.svelte';
+  import Drawer from '$lib/components/ui/Drawer.svelte';
+  import Icon from '$lib/components/ui/Icon.svelte';
+  import ProgressBar from '$lib/components/ui/ProgressBar.svelte';
+  import SafeMedia from '$lib/components/SafeMedia.svelte';
+  import { mediaFileProblem, type MediaSlotKind } from '$lib/comfy/imageFile';
+  import { jobStatusInfo } from '$lib/jobStatus';
+  import { progressFor } from '$lib/jobProgress';
+  import { toast } from '$lib/toast';
+  import { t } from '$lib/i18n.svelte';
+
+  /**
+   * 测试工作流 (HEL-643 L3, E 批抽屉化): fill the workflow's REAL input
+   * slots, submit one REAL run to the chosen ComfyUI through the ordinary
+   * job queue, and call it a pass only when at least one downloadable
+   * output of the right media kind came back. Test artifacts are isolated
+   * from projects. Presentation follows HEL-649 §3.8: right-side drawer,
+   * cyan progress + mono stage log while running, result thumbnails in a
+   * horizontal row.
+   */
+  interface Props {
+    open?: boolean;
+    workflow: Workflow | null;
+    endpoints: ComfyEndpoint[];
+    onchanged?: () => void;
+  }
+
+  let {
+    open = $bindable(false),
+    workflow,
+    endpoints,
+    onchanged,
+  }: Props = $props();
+
+  const client = useQueryClient();
+
+  let endpointId = $state('');
+  let values = $state<Record<string, string | number>>({});
+  let listValues = $state<Record<string, string[]>>({});
+  let sizes = $state<Record<string, number>>({});
+  let uploadingName = $state<Record<string, string>>({});
+  let rejects = $state<Record<string, { name: string; message: string }[]>>({});
+  let submitError = $state('');
+  let confirmOpen = $state(false);
+  let submitting = $state(false);
+  let testJobId = $state<number | null>(null);
+  let errorExpanded = $state(false);
+  let logBox = $state<HTMLDivElement | null>(null);
+
+  const wf = $derived(workflow);
+  const schema = $derived(wf?.input_schema ?? []);
+  const listEntries = $derived(
+    schema.filter(
+      (i) =>
+        i.kind === 'image_list' ||
+        i.kind === 'video_list' ||
+        i.kind === 'audio_list',
+    ),
+  );
+  const formEntries = $derived(
+    schema.filter(
+      (i) =>
+        i.kind !== 'image_list' &&
+        i.kind !== 'video_list' &&
+        i.kind !== 'audio_list',
+    ),
+  );
+  const hasH3Hint = $derived(
+    listEntries.some((e) => e.media_hint === 'minimax_h3_ref2va'),
+  );
+  const outputKind = $derived<'image' | 'video'>(
+    wf?.kind === 'video' ? 'video' : 'image',
+  );
+
+  const testsQuery = createQuery(
+    toStore(() => ({
+      queryKey: ['workflow-tests', wf?.id ?? 0],
+      queryFn: () => workflows.tests(wf!.id),
+      enabled: !!wf && open,
+      refetchInterval: 2000,
+    })),
+  );
+  const jobsQuery = createQuery(
+    toStore(() => ({
+      queryKey: ['jobs'],
+      queryFn: () => jobsApi.list(),
+      enabled: !!wf && open,
+      refetchInterval: 5000,
+    })),
+  );
+  const queuedCount = $derived(
+    ($jobsQuery.data ?? []).filter(
+      (j) => j.status === 'pending' || j.status === 'running',
+    ).length,
+  );
+
+  const history = $derived(($testsQuery.data ?? []) as Job[]);
+  const activeJob = $derived.by(() => {
+    if (testJobId != null) {
+      const mine = history.find((j) => j.id === testJobId);
+      if (mine && (mine.status === 'pending' || mine.status === 'running'))
+        return mine;
+    }
+    return (
+      history.find((j) => j.status === 'pending' || j.status === 'running') ??
+      null
+    );
+  });
+  const finishedJob = $derived.by(() => {
+    if (testJobId != null)
+      return history.find((j) => j.id === testJobId) ?? null;
+    return null;
+  });
+
+  const queueBusy = $derived(!!activeJob || submitting);
+  const liveProgress = $derived(
+    activeJob ? progressFor(activeJob.id) : undefined,
+  );
+  const activeInfo = $derived(activeJob ? jobStatusInfo(activeJob) : null);
+
+  // Rolling mono stage log (§3.8): one line per distinct worker message.
+  let stageLog = $state<string[]>([]);
+  $effect(() => {
+    if (!activeJob || !activeInfo) {
+      stageLog = [];
+      return;
+    }
+    const line = liveProgress?.message || activeInfo.detail;
+    if (!line) return;
+    if (stageLog[stageLog.length - 1] !== line) stageLog = [...stageLog, line];
+  });
+  $effect(() => {
+    stageLog.length;
+    if (logBox) logBox.scrollTop = logBox.scrollHeight;
+  });
+
+  $effect(() => {
+    if (!open || !wf) return;
+    endpointId = wf.endpoint_id ?? '';
+    values = Object.fromEntries(
+      schema
+        .filter((i) => i.defaultValue !== undefined && i.defaultValue !== null)
+        .map((i) => [i.nodeId, i.defaultValue as string | number]),
+    );
+    listValues = {};
+    sizes = {};
+    rejects = {};
+    uploadingName = {};
+    submitError = '';
+    errorExpanded = false;
+    stageLog = [];
+    testJobId =
+      wf.last_test &&
+      (wf.last_test.status === 'pending' || wf.last_test.status === 'running')
+        ? wf.last_test.id
+        : null;
+  });
+
+  function kindOf(entry: { kind: string }): MediaSlotKind {
+    if (entry.kind === 'video_list') return 'video';
+    if (entry.kind === 'audio_list') return 'audio';
+    return 'image';
+  }
+
+  function unitOf(kind: MediaSlotKind): string {
+    return kind === 'image' ? '张' : '段';
+  }
+
+  function setRejects(key: string, next: { name: string; message: string }[]) {
+    rejects = { ...rejects, [key]: next };
+  }
+
+  async function uploadOne(file: File): Promise<string | null> {
+    const res = await playgroundApi.upload(file);
+    sizes = { ...sizes, [res.path]: file.size };
+    return res.path;
+  }
+
+  async function mediaAdd(entry: (typeof listEntries)[number], files: File[]) {
+    const kind = kindOf(entry);
+    const key = entry.nodeId;
+    const max = entry.max ?? 9;
+    const current = listValues[key] ?? [];
+    const ok: string[] = [];
+    const bad: { name: string; message: string }[] = [];
+    for (const f of files) {
+      const problem = mediaFileProblem(kind, f);
+      if (problem) bad.push({ name: f.name, message: problem });
+      else ok.push(f.name);
+    }
+    if (current.length + ok.length > max) {
+      toast.error(
+        t('studio.errRefMax', { max, n: current.length, k: ok.length }),
+      );
+      if (bad.length) setRejects(key, [...(rejects[key] ?? []), ...bad]);
+      return;
+    }
+    setRejects(key, [...(rejects[key] ?? []), ...bad]);
+    for (const f of files) {
+      if (!ok.includes(f.name)) continue;
+      uploadingName = { ...uploadingName, [key]: f.name };
+      try {
+        const path = await uploadOne(f);
+        if (path)
+          listValues = {
+            ...listValues,
+            [key]: [...(listValues[key] ?? []), path],
+          };
+      } catch (err) {
+        toast.error(apiErrorMessage(err));
+      } finally {
+        uploadingName = { ...uploadingName, [key]: '' };
+      }
+    }
+  }
+
+  async function mediaReplace(
+    entry: (typeof listEntries)[number],
+    index: number,
+    file: File,
+  ) {
+    const kind = kindOf(entry);
+    const key = entry.nodeId;
+    const problem = mediaFileProblem(kind, file);
+    if (problem) {
+      setRejects(key, [
+        ...(rejects[key] ?? []),
+        { name: file.name, message: problem },
+      ]);
+      return;
+    }
+    uploadingName = { ...uploadingName, [key]: file.name };
+    try {
+      const path = await uploadOne(file);
+      if (path) {
+        const next = [...(listValues[key] ?? [])];
+        next[index] = path;
+        listValues = { ...listValues, [key]: next };
+      }
+    } catch (err) {
+      toast.error(apiErrorMessage(err));
+    } finally {
+      uploadingName = { ...uploadingName, [key]: '' };
+    }
+  }
+
+  function mediaRemove(entry: (typeof listEntries)[number], index: number) {
+    const key = entry.nodeId;
+    listValues = {
+      ...listValues,
+      [key]: (listValues[key] ?? []).filter((_, i) => i !== index),
+    };
+  }
+
+  /** Mirrors the backend's validate_input_values for immediate feedback. */
+  function validate(): string[] {
+    const errs: string[] = [];
+    for (const e of schema) {
+      const label = e.label;
+      if (
+        e.kind === 'image_list' ||
+        e.kind === 'video_list' ||
+        e.kind === 'audio_list'
+      ) {
+        const n = (listValues[e.nodeId] ?? []).length;
+        const unit = unitOf(kindOf(e));
+        if (e.required && n < (e.min ?? 1))
+          errs.push(t('wft.errListMin', { n: e.min ?? 1, unit, label }));
+      } else if (e.auto && e.required && e.role === 'prompt') {
+        const v = values[e.nodeId];
+        if (
+          !(typeof v === 'string' && v.trim()) &&
+          !String(e.defaultValue ?? '').trim()
+        ) {
+          errs.push(t('wft.errRequired', { label }));
+        }
+      } else if (
+        e.required &&
+        (e.kind === 'image' || e.kind === 'video' || e.kind === 'audio') &&
+        e.role !== 'mask'
+      ) {
+        if (!values[e.nodeId]) errs.push(t('wft.errRequired', { label }));
+      }
+    }
+    return errs;
+  }
+
+  async function submitTest() {
+    if (!wf) return;
+    const errs = validate();
+    if (errs.length) {
+      submitError = errs.join('；');
+      return;
+    }
+    submitError = '';
+    confirmOpen = true;
+  }
+
+  async function reallyRunTest() {
+    if (!wf) return;
+    submitting = true;
+    try {
+      const inputValues: Record<string, unknown> = { ...values };
+      for (const [k, v] of Object.entries(listValues)) {
+        if (v.length) inputValues[k] = v;
+      }
+      const res = await workflows.test(wf.id, {
+        ...(endpointId ? { endpoint_id: endpointId } : {}),
+        input_values: inputValues as Record<string, string | number | string[]>,
+      });
+      testJobId = res.job.id;
+      if (res.reused) toast.info(t('wft.reusedToast'));
+      void $testsQuery.refetch();
+    } catch (err) {
+      submitError = apiErrorMessage(err);
+    } finally {
+      submitting = false;
+      confirmOpen = false;
+    }
+  }
+
+  async function cancelTest() {
+    if (!activeJob) return;
+    try {
+      await jobsApi.cancel(activeJob.id);
+      void $testsQuery.refetch();
+    } catch (err) {
+      toast.error(apiErrorMessage(err));
+    }
+  }
+
+  async function clearRecords() {
+    if (!wf) return;
+    try {
+      await workflows.clearTests(wf.id);
+      testJobId = null;
+      await $testsQuery.refetch();
+      onchanged?.();
+      toast.success(t('wft.cleared'));
+    } catch (err) {
+      toast.error(apiErrorMessage(err));
+    }
+  }
+
+  function resultLine(job: Job): string {
+    if (job.status === 'done' && (job.output_paths?.length ?? 0) > 0) {
+      return t('wft.passedShort', { n: job.output_paths.length });
+    }
+    if (job.error === 'cancelled') return t('wft.cancelledShort');
+    return job.error ? job.error.slice(0, 120) : t('wft.failedShort');
+  }
+
+  function timeOf(at: string | null): string {
+    if (!at) return '—';
+    const ts = Date.parse(at.replace(' ', 'T') + 'Z');
+    const d = new Date(Number.isFinite(ts) ? ts : at);
+    const p = (n: number) => String(n).padStart(2, '0');
+    return `${p(d.getMonth() + 1)}-${p(d.getDate())} ${p(d.getHours())}:${p(d.getMinutes())}`;
+  }
+
+  const endpointLabel = $derived(
+    endpoints.find((e) => e.id === endpointId)?.name ??
+      t('conn.wfConnectionActive'),
+  );
+</script>
+
+<Drawer bind:open title={t('wft.title')} width={420}>
+  {#if wf}
+    <div class="wft">
+      <p class="wft-sub">
+        {wf.name}
+        <span class="mono wft-id">#{wf.id}</span>
+      </p>
+
+      <label class="field">
+        <span class="field-label">{t('wft.connection')}</span>
+        <select
+          class="a-select full"
+          bind:value={endpointId}
+          disabled={queueBusy}
+        >
+          <option value="">{t('conn.wfConnectionActive')}</option>
+          {#each endpoints as ep (ep.id)}
+            <option value={ep.id}>{ep.name}</option>
+          {/each}
+        </select>
+        <span class="field-hint">{t('wft.costNote')}</span>
+      </label>
+
+      {#if hasH3Hint}
+        <div class="wft-note" role="note">
+          <Icon name="info" size={14} />
+          <p>{t('wfMedia.h3Limits')}</p>
+        </div>
+      {/if}
+
+      {#if activeJob && activeInfo}
+        <div class="wft-active">
+          <div class="wft-active-head">
+            <span class="chip run">
+              <span class="chip-dot" aria-hidden="true"></span>
+              {t('wft.running')}
+            </span>
+            <span class="wft-active-detail">{activeInfo.detail}</span>
+            <Button variant="secondary" size="sm" onclick={cancelTest}
+              >{t('wft.cancel')}</Button
+            >
+          </div>
+          <ProgressBar
+            value={liveProgress?.progress ?? 0}
+            indeterminate={activeJob.status === 'pending' && !liveProgress}
+            label={activeInfo.label}
+          />
+          {#if stageLog.length}
+            <div class="wft-log mono" bind:this={logBox} aria-live="polite">
+              {#each stageLog as line, i (i)}
+                <p>{line}</p>
+              {/each}
+            </div>
+          {/if}
+        </div>
+      {:else if finishedJob && finishedJob.status === 'done' && (finishedJob.output_paths?.length ?? 0) > 0}
+        <div class="wft-result ok">
+          <p class="wft-verdict">
+            {t('wft.passed', { n: finishedJob.output_paths.length })}
+          </p>
+          <div class="wft-outputs">
+            {#each finishedJob.output_paths as path (path)}
+              <a
+                class="wft-out"
+                href={assetUrl(path)}
+                download
+                target="_blank"
+                rel="noreferrer"
+                title={t('wft.download')}
+              >
+                <SafeMedia
+                  kind={outputKind}
+                  src={assetUrl(path)}
+                  controls={outputKind === 'video'}
+                />
+              </a>
+            {/each}
+          </div>
+        </div>
+      {:else if finishedJob && finishedJob.status !== 'pending' && finishedJob.status !== 'running'}
+        <div class="wft-result bad">
+          <p class="wft-verdict">{t('wft.failed')}</p>
+          <p class="wft-error">
+            {finishedJob.error === 'cancelled'
+              ? t('wft.cancelledShort')
+              : errorExpanded || (finishedJob.error ?? '').length <= 160
+                ? finishedJob.error
+                : (finishedJob.error ?? '').slice(0, 160) + '…'}
+          </p>
+          {#if finishedJob.error && finishedJob.error !== 'cancelled' && finishedJob.error.length > 160}
+            <button
+              type="button"
+              class="wft-expand"
+              onclick={() => (errorExpanded = !errorExpanded)}
+            >
+              {errorExpanded ? t('wfd.hideDetails') : t('wfd.showDetails')}
+            </button>
+          {/if}
+        </div>
+      {/if}
+
+      {#if !queueBusy}
+        <div class="wft-form">
+          {#each listEntries as entry (entry.nodeId)}
+            {@const kind = kindOf(entry)}
+            <RefImageGrid
+              label={entry.label}
+              mediaKind={kind}
+              paths={listValues[entry.nodeId] ?? []}
+              max={entry.max ?? 9}
+              {sizes}
+              uploadingName={uploadingName[entry.nodeId] || undefined}
+              rejects={rejects[entry.nodeId] ?? []}
+              onAdd={(files) => mediaAdd(entry, files)}
+              onReplace={(i, file) => mediaReplace(entry, i, file)}
+              onRemove={(i) => mediaRemove(entry, i)}
+              onDismissReject={(i) =>
+                setRejects(
+                  entry.nodeId,
+                  (rejects[entry.nodeId] ?? []).filter((_, j) => j !== i),
+                )}
+            />
+          {/each}
+          {#if formEntries.length}
+            <ComfyDynamicForm
+              inputs={formEntries}
+              bind:values
+              allowUpload
+              showErrors={!!submitError}
+            />
+          {/if}
+        </div>
+        {#if submitError}<span class="field-error" role="alert"
+            >{submitError}</span
+          >{/if}
+        <div class="wft-actions">
+          <Button variant="primary" loading={submitting} onclick={submitTest}>
+            {t('wft.submit')}
+          </Button>
+        </div>
+      {/if}
+
+      <div class="wft-history">
+        <div class="wft-history-head">
+          <span class="field-label"
+            >{t('wft.history', { n: history.length })}</span
+          >
+          {#if history.length}
+            <button type="button" class="link-danger" onclick={clearRecords}>
+              {t('wft.clear')}
+            </button>
+          {/if}
+        </div>
+        {#if history.length === 0}
+          <p class="wft-empty">{t('wft.never')}</p>
+        {:else}
+          <ul class="wft-rows">
+            {#each history as job (job.id)}
+              <li class:active={job.id === activeJob?.id}>
+                <span class="mono wft-row-id">#{job.id}</span>
+                <span class="wft-row-time">{timeOf(job.created_at)}</span>
+                <span
+                  class="wft-row-result"
+                  class:ok={job.status === 'done' &&
+                    (job.output_paths?.length ?? 0) > 0}
+                >
+                  {resultLine(job)}
+                </span>
+              </li>
+            {/each}
+          </ul>
+        {/if}
+      </div>
+    </div>
+  {/if}
+</Drawer>
+
+<ConfirmDialog
+  bind:open={confirmOpen}
+  title={t('wft.confirmTitle')}
+  message={t('wft.confirmBody', { endpoint: endpointLabel, n: queuedCount })}
+  confirmLabel={t('wft.submit')}
+  onconfirm={reallyRunTest}
+/>
+
+<style>
+  .wft {
+    display: flex;
+    flex-direction: column;
+    gap: 12px;
+    min-width: 0;
+  }
+  .wft-sub {
+    margin: 0;
+    font-size: 13px;
+    color: var(--text-2);
+  }
+  .wft-id {
+    color: var(--text-3);
+    font-size: 11px;
+    margin-left: 6px;
+  }
+  .a-select.full {
+    width: 100%;
+  }
+  .wft-note {
+    display: flex;
+    gap: 8px;
+    align-items: flex-start;
+    padding: 8px 10px;
+    border: 1px solid var(--run-soft);
+    border-radius: var(--r-sm);
+    background: var(--run-soft);
+    color: var(--text-2);
+    font-size: 12px;
+    line-height: 1.6;
+  }
+  .wft-note :global(.icon) {
+    color: var(--run);
+    flex-shrink: 0;
+    margin-top: 2px;
+  }
+  .wft-note p {
+    margin: 0;
+  }
+  .wft-active,
+  .wft-result {
+    border: 1px solid var(--line-2);
+    border-radius: var(--r-md);
+    padding: 10px 12px;
+    background: var(--bg-2);
+    display: flex;
+    flex-direction: column;
+    gap: 8px;
+  }
+  .wft-active {
+    border-color: var(--run-soft);
+  }
+  .wft-active-head {
+    display: flex;
+    align-items: center;
+    gap: 10px;
+    flex-wrap: wrap;
+  }
+  .chip {
+    display: inline-flex;
+    align-items: center;
+    gap: 6px;
+    height: 20px;
+    padding: 0 8px;
+    border-radius: var(--r-sm);
+    font-size: 12px;
+    font-weight: 600;
+  }
+  .chip.run {
+    color: var(--run);
+    background: var(--run-soft);
+  }
+  .chip-dot {
+    width: 7px;
+    height: 7px;
+    border-radius: 50%;
+    background: var(--run);
+    animation: wft-breathe 1.6s ease-in-out infinite;
+  }
+  @keyframes wft-breathe {
+    0%,
+    100% {
+      opacity: 1;
+    }
+    50% {
+      opacity: 0.35;
+    }
+  }
+  :global([data-reduce='1']) .chip-dot {
+    animation: none;
+  }
+  @media (prefers-reduced-motion: reduce) {
+    .chip-dot {
+      animation: none;
+    }
+  }
+  .wft-active-detail {
+    flex: 1;
+    min-width: 120px;
+    font-size: 12px;
+    color: var(--text-2);
+  }
+  .wft-log {
+    max-height: 110px;
+    overflow-y: auto;
+    padding: 8px 10px;
+    border-radius: var(--r-sm);
+    background: var(--bg);
+    border: 1px solid var(--line);
+    font-size: 12px;
+    line-height: 1.6;
+    color: var(--text-2);
+  }
+  .wft-log p {
+    margin: 0;
+  }
+  .wft-result.ok {
+    border-color: var(--ok);
+  }
+  .wft-result.bad {
+    border-color: var(--err);
+  }
+  .wft-verdict {
+    margin: 0;
+    font-size: 13px;
+    font-weight: 600;
+    color: var(--text);
+  }
+  .wft-result.ok .wft-verdict {
+    color: var(--ok);
+  }
+  .wft-result.bad .wft-verdict {
+    color: var(--err);
+  }
+  .wft-error {
+    margin: 0;
+    font-size: 12px;
+    color: var(--err);
+    line-height: 1.6;
+    word-break: break-all;
+  }
+  .wft-expand {
+    align-self: flex-start;
+    background: none;
+    border: none;
+    padding: 0;
+    font-family: inherit;
+    font-size: 11px;
+    color: var(--text-2);
+    text-decoration: underline;
+    cursor: pointer;
+  }
+  @media (hover: hover) and (pointer: fine) {
+    .wft-expand:hover {
+      color: var(--text);
+    }
+  }
+  .wft-outputs {
+    display: flex;
+    gap: 8px;
+    overflow-x: auto;
+    padding-bottom: 2px;
+  }
+  .wft-out {
+    display: block;
+    flex: 0 0 auto;
+    width: 148px;
+    border: 1px solid var(--line);
+    border-radius: var(--r-sm);
+    overflow: hidden;
+    background: var(--bg);
+  }
+  .wft-form {
+    display: flex;
+    flex-direction: column;
+    gap: 14px;
+  }
+  .wft-actions {
+    display: flex;
+    justify-content: flex-end;
+    gap: 8px;
+  }
+  .wft-history {
+    border-top: 1px solid var(--line);
+    padding-top: 10px;
+  }
+  .wft-history-head {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    gap: 8px;
+  }
+  .wft-history-head .field-label {
+    margin-bottom: 0;
+  }
+  .link-danger {
+    background: none;
+    border: none;
+    padding: 4px 8px;
+    font-family: inherit;
+    font-size: 12px;
+    color: var(--err);
+    cursor: pointer;
+    border-radius: var(--r-sm);
+    opacity: 0.85;
+    display: inline-flex;
+    align-items: center;
+  }
+  @media (hover: hover) and (pointer: fine) {
+    .link-danger:hover {
+      opacity: 1;
+      background: var(--err-soft);
+    }
+  }
+  .wft-empty {
+    margin: 6px 0 0;
+    font-size: 12px;
+    color: var(--text-3);
+  }
+  .wft-rows {
+    list-style: none;
+    margin: 6px 0 0;
+    padding: 0;
+    display: flex;
+    flex-direction: column;
+    gap: 4px;
+  }
+  .wft-rows li {
+    display: flex;
+    gap: 10px;
+    align-items: baseline;
+    font-size: 12px;
+    color: var(--text-2);
+    padding: 4px 6px;
+    border-radius: var(--r-sm);
+  }
+  .wft-rows li.active {
+    background: var(--bg-3);
+  }
+  .wft-row-id {
+    color: var(--text-3);
+    font-size: 11px;
+  }
+  .wft-row-time {
+    color: var(--text-3);
+    font-size: 11px;
+    white-space: nowrap;
+  }
+  .wft-row-result {
+    flex: 1;
+    min-width: 0;
+    overflow: hidden;
+    text-overflow: ellipsis;
+    white-space: nowrap;
+  }
+  .wft-row-result.ok {
+    color: var(--ok);
+  }
+</style>
@@ -195,7 +195,6 @@
 	{:else if messages.length === 0 && !running}
 		<div class="empty">
 			<div class="empty-mark"><Icon name="sparkle" size={22} /></div>
-			<p class="empty-eyebrow">Calliope</p>
 			<p class="empty-title">{t('agentChat.emptyTitle')}</p>
 			<p class="empty-hint">{t('agentChat.emptyHint')}</p>
 			{#if suggestions.length > 0}
@@ -358,27 +357,15 @@
 	.empty-mark {
 		width: 48px;
 		height: 48px;
-		border-radius: var(--radius-md);
+		border-radius: var(--r-md);
 		display: flex;
 		align-items: center;
 		justify-content: center;
-		color: var(--accent);
-		background:
-			radial-gradient(circle at 30% 25%, rgba(139, 92, 246, 0.35) 0%, transparent 60%),
-			var(--bg-elevated);
-		border: 1px solid color-mix(in srgb, var(--accent) 30%, transparent);
-		box-shadow: 0 0 32px var(--accent-glow);
+		color: var(--text-2);
+		background: var(--bg-3);
+		border: 1px solid var(--line-2);
 		margin-bottom: 6px;
 	}
-	.empty-eyebrow {
-		margin: 0;
-		font-family: var(--font-display);
-		font-size: 12px;
-		font-weight: 600;
-		letter-spacing: 0.28em;
-		text-transform: uppercase;
-		color: var(--accent);
-	}
 	.empty-title {
 		margin: 0;
 		font-family: var(--font-display);
@@ -401,21 +388,24 @@
 		margin-top: 16px;
 	}
 	.suggestion {
-		border: 1px solid var(--border);
-		background: var(--bg-surface);
-		color: var(--text-secondary);
-		border-radius: 999px;
-		padding: 8px 16px;
-		font-size: 13px;
+		border: 1px solid var(--line);
+		background: var(--bg-2);
+		color: var(--text-2);
+		border-radius: var(--r-pill);
+		padding: var(--sp-3) var(--sp-6);
+		font-size: var(--fs-body);
 		font-weight: 500;
 		font-family: inherit;
 		cursor: pointer;
-		transition: all 0.15s;
+		transition:
+			color var(--d-state) ease,
+			border-color var(--d-state) ease,
+			background-color var(--d-state) ease;
 	}
 	.suggestion:hover {
-		color: var(--text-primary);
-		border-color: var(--accent);
-		background: color-mix(in srgb, var(--accent) 12%, var(--bg-surface));
+		color: var(--text);
+		border-color: var(--line-2);
+		background: var(--bg-4);
 	}
 	.suggestion:focus-visible {
 		outline: 2px solid var(--accent);
@@ -440,11 +430,11 @@
 		display: inline-flex;
 		align-items: center;
 		gap: 6px;
-		font-size: 11px;
+		font-size: var(--fs-mini);
 		font-weight: 700;
 		letter-spacing: 0.06em;
 		text-transform: uppercase;
-		color: var(--agent, var(--accent));
+		color: var(--agent, var(--text-2));
 		margin-bottom: 4px;
 		padding-left: 2px;
 	}
@@ -453,7 +443,7 @@
 		height: 8px;
 		border-radius: 999px;
 		flex-shrink: 0;
-		box-shadow: 0 0 0 2px color-mix(in srgb, var(--agent, var(--accent)) 25%, transparent);
+		box-shadow: 0 0 0 2px color-mix(in srgb, var(--agent, var(--text-2)) 25%, transparent);
 	}
 	.reasoning-wrap {
 		margin-bottom: 4px;
@@ -461,28 +451,29 @@
 	}
 	.bubble {
 		max-width: 86%;
-		border-radius: var(--radius-md);
+		border-radius: var(--r-lg);
 		padding: 10px 14px;
 		font-size: 13.5px;
 		line-height: 1.6;
 		white-space: pre-wrap;
 		word-break: break-word;
 	}
+	/* 对话气泡按规范 §3.2/§3.6：用户 --bg-3，Agent --bg-2 + --line 描边。 */
 	.user-bubble {
-		background: color-mix(in srgb, var(--accent) 16%, var(--bg-surface));
-		border: 1px solid color-mix(in srgb, var(--accent) 35%, transparent);
-		color: var(--text-primary);
+		background: var(--bg-3);
+		border: 1px solid var(--line);
+		color: var(--text);
 	}
 	.user-bubble.steering {
 		border-style: dashed;
 	}
 	.steer-tag {
 		display: inline-block;
-		font-size: 10px;
+		font-size: var(--fs-mini);
 		font-weight: 600;
 		letter-spacing: 0.06em;
 		text-transform: uppercase;
-		color: var(--accent);
+		color: var(--text-3);
 		margin-bottom: 4px;
 	}
 	.user-thumbs {
@@ -496,36 +487,37 @@
 		width: 48px;
 		height: 48px;
 		object-fit: cover;
-		border-radius: var(--radius-sm);
-		border: 1px solid color-mix(in srgb, var(--accent) 30%, transparent);
-		background: var(--bg-elevated);
+		border-radius: var(--r-sm);
+		border: 1px solid var(--line-2);
+		background: var(--bg-3);
 	}
 	.user-thumb.file {
 		display: inline-flex;
 		align-items: center;
 		justify-content: center;
-		color: var(--text-muted);
+		color: var(--text-3);
 	}
 	.user-text {
 		white-space: pre-wrap;
 	}
+	/* 工作流提及为次级内容：中性底 + --text，不占金色。 */
 	.wf-chip {
 		display: inline;
 		padding: 1px 7px;
 		margin: 0 1px;
-		border-radius: 999px;
-		background: color-mix(in srgb, var(--accent) 22%, var(--bg-elevated));
-		border: 1px solid color-mix(in srgb, var(--accent) 45%, transparent);
-		color: var(--accent);
+		border-radius: var(--r-pill);
+		background: var(--bg-4);
+		border: 1px solid var(--line-2);
+		color: var(--text);
 		font-weight: 600;
-		font-size: 13px;
+		font-size: var(--fs-body);
 		white-space: nowrap;
 	}
 	.assistant-bubble {
-		background: var(--bg-surface);
-		border: 1px solid var(--border);
-		border-left: 3px solid var(--agent, var(--accent));
-		color: var(--text-primary);
+		background: var(--bg-2);
+		border: 1px solid var(--line);
+		border-left: 3px solid var(--agent, var(--text-2));
+		color: var(--text);
 	}
 	.question-card {
 		display: flex;
@@ -535,15 +527,15 @@
 		max-width: 420px;
 		margin: 2px 0 6px;
 		padding: 12px 14px;
-		border: 1px solid color-mix(in srgb, var(--accent) 35%, transparent);
-		border-radius: var(--radius-md);
-		background: color-mix(in srgb, var(--accent) 7%, var(--bg-surface));
+		border: 1px solid var(--line);
+		border-radius: var(--r-md);
+		background: var(--bg-2);
 	}
 	.question-text {
 		margin: 0;
-		font-size: 13px;
+		font-size: var(--fs-body);
 		line-height: 1.5;
-		color: var(--text-primary);
+		color: var(--text);
 		white-space: pre-wrap;
 	}
 	.question-options {
@@ -552,40 +544,39 @@
 		gap: 6px;
 	}
 	.question-option {
-		border: 1px solid color-mix(in srgb, var(--agent, var(--accent)) 45%, transparent);
-		background: var(--bg-elevated);
-		color: var(--text-primary);
-		border-radius: var(--radius-sm);
+		border: 1px solid var(--line-2);
+		background: var(--bg-3);
+		color: var(--text);
+		border-radius: var(--r-sm);
 		padding: 8px 12px;
-		font-size: 13px;
+		font-size: var(--fs-body);
 		font-weight: 600;
 		cursor: pointer;
 		text-align: left;
 		transition:
-			background 120ms ease,
-			border-color 120ms ease;
+			background-color var(--d-press) ease,
+			border-color var(--d-press) ease;
 	}
 	.question-option:hover:enabled {
-		background: color-mix(in srgb, var(--agent, var(--accent)) 18%, var(--bg-elevated));
-		border-color: var(--agent, var(--accent));
+		background: var(--bg-4);
+		border-color: var(--agent, var(--text-2));
 	}
 	.question-option:disabled {
 		opacity: 0.5;
 		cursor: default;
 	}
 	.question-option.affirmative {
-		border-color: var(--accent);
-		color: var(--accent);
+		border-color: var(--line-2);
 	}
 	.question-hint {
 		margin: 0;
-		font-size: 11px;
-		color: var(--text-muted);
+		font-size: var(--fs-mini);
+		color: var(--text-3);
 	}
 	.assistant-bubble.err {
-		border-color: rgba(239, 68, 68, 0.4);
-		border-left-color: rgba(239, 68, 68, 0.6);
-		color: var(--error);
+		border-color: var(--err-line);
+		border-left-color: var(--err);
+		color: var(--err);
 	}
 	.bubble.live {
 		display: flex;
@@ -614,7 +605,7 @@
 		width: 7px;
 		height: 14px;
 		margin-left: 2px;
-		background: var(--accent);
+		background: var(--run);
 		animation: blink 1s step-end infinite;
 		vertical-align: text-bottom;
 	}
@@ -627,14 +618,15 @@
 		display: flex;
 		align-items: center;
 		gap: 8px;
-		color: var(--text-secondary);
-		font-size: 13px;
+		color: var(--text-2);
+		font-size: var(--fs-body);
 	}
+	/* 进行中指示 = 信号青（§1.3），不占金色。 */
 	.pulse {
 		width: 8px;
 		height: 8px;
 		border-radius: 999px;
-		background: var(--accent);
+		background: var(--run);
 		animation: pulse 1.1s ease-in-out infinite;
 	}
 	@keyframes pulse {
@@ -711,12 +711,12 @@ let {
 		display: inline;
 		padding: 1px 7px;
 		margin: 0 1px;
-		border-radius: 999px;
-		background: color-mix(in srgb, var(--accent) 22%, var(--bg-elevated));
-		border: 1px solid color-mix(in srgb, var(--accent) 45%, transparent);
-		color: var(--accent);
+		border-radius: var(--r-pill);
+		background: var(--bg-4);
+		border: 1px solid var(--line-2);
+		color: var(--text);
 		font-weight: 600;
-		font-size: 13px;
+		font-size: var(--fs-body);
 		white-space: nowrap;
 		user-select: none;
 	}
@@ -724,12 +724,12 @@ let {
 		display: inline;
 		padding: 1px 7px;
 		margin: 0 1px;
-		border-radius: 999px;
-		background: color-mix(in srgb, #38bdf8 20%, var(--bg-elevated));
-		border: 1px solid color-mix(in srgb, #38bdf8 45%, transparent);
-		color: #7dd3fc;
+		border-radius: var(--r-pill);
+		background: var(--bg-4);
+		border: 1px dashed var(--line-2);
+		color: var(--text-2);
 		font-weight: 600;
-		font-size: 13px;
+		font-size: var(--fs-body);
 		white-space: nowrap;
 		user-select: none;
 	}
--- a/Show More
+++ b/Show More