fix(agent): retain daylight input focus border from sample

Co-authored-by: multica-agent <github@multica.ai>

calliope-backend/contracts.json

@@ -156,7 +156,8 @@
     "job.started",
     "shot.capture.saved",
     "shot.updated",
-    "story.ready"
+    "story.ready",
+    "workbench.stage.updated"
   ],
   "prompt_profiles": [
     "minimax_h3_ref",

calliope-backend/scripts/build_widget_orders.py

@@ -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()

calliope-backend/scripts/ui_import_dryrun.py

@@ -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())

calliope-backend/src/calliope/agent/agents_registry.py

@@ -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()
+    ]

calliope-backend/src/calliope/agent/deliverables.py

@@ -0,0 +1,52 @@
+"""Capture successful task replies without treating chat/errors as confirmed work."""
+
+from __future__ import annotations
+
+from calliope.config import settings
+from calliope.db import get_db
+
+
+def complete_task(session_id: int, final: str) -> None:
+    from calliope.agent.harness.plugins.interaction import latest_open_question
+
+    conn = get_db(settings.db_path)
+    try:
+        if latest_open_question(session_id):
+            conn.execute(
+                "UPDATE agent_sessions SET task_status='awaiting_input' WHERE id=?", (session_id,)
+            )
+        else:
+            session = conn.execute(
+                "SELECT * FROM agent_sessions WHERE id=?", (session_id,)
+            ).fetchone()
+            message = conn.execute(
+                "SELECT id FROM agent_messages WHERE session_id=? AND role='assistant' "
+                "AND content=? AND (status IS NULL OR status NOT IN ('error','cancelled')) "
+                "ORDER BY id DESC LIMIT 1",
+                (session_id, final),
+            ).fetchone()
+            if session and message and final.strip():
+                conn.execute(
+                    "INSERT OR IGNORE INTO agent_deliverables "
+                    "(session_id,source_message_id,project_id,stage_key,title,content) "
+                    "VALUES (?,?,?,?,?,?)",
+                    (
+                        session_id,
+                        message["id"],
+                        session["project_id"],
+                        session["agent_key"] or "script",
+                        session["title"][:200],
+                        final,
+                    ),
+                )
+                conn.execute(
+                    "UPDATE agent_sessions SET task_status='awaiting_confirm' WHERE id=?",
+                    (session_id,),
+                )
+            else:
+                conn.execute(
+                    "UPDATE agent_sessions SET task_status='completed' WHERE id=?", (session_id,)
+                )
+        conn.commit()
+    finally:
+        conn.close()

calliope-backend/src/calliope/agent/harness/loop.py

@@ -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)

calliope-backend/src/calliope/agent/harness/plugins/skills.py

@@ -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 (

calliope-backend/src/calliope/agent/harness/prompts.py

@@ -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. "

calliope-backend/src/calliope/agent/harness/registry.py

@@ -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

calliope-backend/src/calliope/agent/harness/runner.py

@@ -40,8 +40,10 @@ class AgentRunner:
         conn = self._db()
         try:
             conn.execute(
-                "UPDATE agent_sessions SET status = ?, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
-                (status, session_id),
+                "UPDATE agent_sessions SET status = ?, task_status=CASE "
+                "WHEN ? = 'running' THEN 'running' WHEN ? = 'error' THEN 'error' "
+                "ELSE task_status END, updated_at = CURRENT_TIMESTAMP WHERE id = ?",
+                (status, status, status, session_id),
             )
             conn.commit()
         finally:
@@ -140,7 +142,7 @@ 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 +159,16 @@ 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)
@@ -196,7 +203,8 @@ class AgentRunner:
             ).fetchall()]
             if stuck:
                 conn.execute(
-                    "UPDATE agent_sessions SET status = 'idle' WHERE status = 'running'"
+                    "UPDATE agent_sessions SET status = 'idle', task_status='interrupted' "
+                    "WHERE status = 'running'"
                 )
                 conn.commit()
                 logger.warning(
@@ -290,6 +298,15 @@ class AgentRunner:
                 finally:
                     conn.close()
 
+            conn = self._db()
+            try:
+                conn.execute(
+                    "UPDATE agent_sessions SET task_summary=? WHERE id=?",
+                    (user_message.strip()[:300], session_id),
+                )
+                conn.commit()
+            finally:
+                conn.close()
             self._set_status(session_id, "running")
             task = asyncio.create_task(
                 self._run_session(session_id), name=f"agent-session-{session_id}"
@@ -366,10 +383,12 @@ 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()
 
@@ -377,14 +396,23 @@ 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),
             )
+            from calliope.agent.deliverables import complete_task
+
+            complete_task(session_id, final)
             # Final answer is persisted + broadcast by the loop's emit() call
             # (which goes through the message sink). Only set status here.
             self._set_status(session_id, "idle")
@@ -395,6 +423,14 @@ class AgentRunner:
                 content="— run cancelled —",
                 status="cancelled",
             )
+            conn = self._db()
+            try:
+                conn.execute(
+                    "UPDATE agent_sessions SET task_status='cancelled' WHERE id=?", (session_id,)
+                )
+                conn.commit()
+            finally:
+                conn.close()
             self._set_status(session_id, "idle")
             raise
         except Exception as exc:  # noqa: BLE001 — surfaced to the chat as the reply

calliope-backend/src/calliope/agent/skills_store.py

@@ -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:

calliope-backend/src/calliope/comfyui/client.py

@@ -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.
@@ -41,15 +58,27 @@ 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:
@@ -64,18 +93,47 @@ class ComfyUIClient:
 
     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
@@ -95,7 +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
@@ -108,7 +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
@@ -202,11 +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:
@@ -215,6 +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,
@@ -224,7 +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)
@@ -237,16 +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

calliope-backend/src/calliope/comfyui/lint.py

@@ -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}。"

calliope-backend/src/calliope/comfyui/metadata.py

@@ -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 {}),
+    }

calliope-backend/src/calliope/comfyui/output_map.py

@@ -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"
+    )

calliope-backend/src/calliope/comfyui/patcher.py

@@ -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

calliope-backend/src/calliope/comfyui/preflight.py

@@ -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

calliope-backend/src/calliope/comfyui/registry.py

@@ -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:

calliope-backend/src/calliope/comfyui/roles.py

@@ -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.

calliope-backend/src/calliope/comfyui/smart_fill.py

@@ -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):

calliope-backend/src/calliope/comfyui/ui_convert.py

@@ -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()

calliope-backend/src/calliope/comfyui/validate.py

@@ -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")

calliope-backend/src/calliope/db.py

@@ -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 +290,71 @@ 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);
+
+-- B4: immutable source identity, editable draft, optimistic concurrency.
+CREATE TABLE IF NOT EXISTS agent_deliverables (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    session_id INTEGER NOT NULL REFERENCES agent_sessions(id) ON DELETE CASCADE,
+    source_message_id INTEGER NOT NULL,
+    project_id INTEGER REFERENCES projects(id) ON DELETE SET NULL,
+    stage_key TEXT NOT NULL CHECK(stage_key IN ('script','style','storyboard','assets','shot')),
+    title TEXT NOT NULL,
+    content TEXT NOT NULL,
+    revision INTEGER NOT NULL DEFAULT 1,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    UNIQUE(session_id, source_message_id)
+);
+CREATE TABLE IF NOT EXISTS agent_deliverable_versions (
+    deliverable_id INTEGER NOT NULL REFERENCES agent_deliverables(id) ON DELETE CASCADE,
+    revision INTEGER NOT NULL,
+    content TEXT NOT NULL,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    PRIMARY KEY(deliverable_id, revision)
+);
+CREATE TABLE IF NOT EXISTS result_attachments (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    source_key TEXT NOT NULL,
+    project_id INTEGER NOT NULL REFERENCES projects(id) ON DELETE CASCADE,
+    stage_key TEXT NOT NULL,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    UNIQUE(source_key, project_id, stage_key)
+);
+
+-- 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 +373,111 @@ 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)
@@ -324,6 +523,45 @@ async def migrate_db(db_path: Path) -> None:
         # 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")
@@ -363,15 +601,55 @@ 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
     # sessions don't pollute the AI Canvas sidebar; Build Scene filters on it.
+    b4_cols = {r[1] for r in conn.execute("PRAGMA table_info(agent_sessions)")}
+    if "task_summary" not in b4_cols:
+        conn.execute("ALTER TABLE agent_sessions ADD COLUMN task_summary TEXT NOT NULL DEFAULT ''")
+    if "task_status" not in b4_cols:
+        conn.execute(
+            "ALTER TABLE agent_sessions ADD COLUMN task_status TEXT NOT NULL DEFAULT 'ready'"
+        )
     session_cols = {r[1] for r in conn.execute("PRAGMA table_info(agent_sessions)").fetchall()}
     if "origin" not in session_cols:
         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")

calliope-backend/src/calliope/main.py

@@ -20,18 +20,24 @@ from calliope.routers import (
     agent,
     assets,
     canvas,
-    comfyui as comfy,
     events,
     jobs,
     library,
     playground,
     projects,
+    results,
     scenes,
-    settings as settings_router,
     shots,
     story,
+    workbench,
     workflows,
 )
+from calliope.routers import (
+    comfyui as comfy,
+)
+from calliope.routers import (
+    settings as settings_router,
+)
 
 logging.basicConfig(
     level=logging.INFO,
@@ -140,7 +146,9 @@ def create_app(static_dir: Path | None = None) -> FastAPI:
     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(results.router, prefix="/api/results", tags=["results"])
     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")

calliope-backend/src/calliope/models/schemas.py

@@ -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):
@@ -194,14 +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):
@@ -211,10 +236,83 @@ class WorkflowUpdate(BaseModel):
     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):

calliope-backend/src/calliope/queue/manager.py

@@ -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
@@ -35,17 +36,25 @@ 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)),
+                (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)
@@ -105,6 +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:
@@ -142,7 +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,),
             )

calliope-backend/src/calliope/queue/worker.py

@@ -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":
@@ -154,9 +199,18 @@ class QueueWorker:
         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(
@@ -165,9 +219,24 @@ class QueueWorker:
                 )
 
             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":
@@ -177,20 +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:
@@ -204,7 +319,9 @@ 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()
@@ -344,6 +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():
@@ -354,17 +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:
@@ -379,20 +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"

calliope-backend/src/calliope/queue/workflow_test.py

@@ -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

calliope-backend/src/calliope/routers/agent.py

@@ -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
@@ -83,7 +97,7 @@ class MemoryCreate(BaseModel):
 
 class MessageCreate(BaseModel):
     content: str = ""
-    mentions: list[MessageMention] = Field(default_factory=list, max_length=1)
+    mentions: list[MessageMention] = Field(default_factory=list, max_length=5)
     attachments: list[MessageAttachment] = Field(default_factory=list, max_length=8)
     answer_to: int | None = None  # question/asked seq this message answers (card click)
 
@@ -99,8 +113,10 @@ class MessageCreate(BaseModel):
     @field_validator("mentions")
     @classmethod
     def _one_workflow(cls, v: list[MessageMention]) -> list[MessageMention]:
-        if len(v) > 1:
+        if sum(m.type == "workflow" for m in v) > 1:
             raise ValueError("Only one @workflow mention per message")
+        if sum(m.type == "skill" for m in v) > 4:
+            raise ValueError("At most four skill mentions per message")
         return v
 
 
@@ -171,14 +187,22 @@ 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 +238,10 @@ 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 +284,19 @@ 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 +542,166 @@ 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")

calliope-backend/src/calliope/routers/comfyui.py

@@ -77,8 +77,11 @@ 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")
-    if "://" not in url:
-        url = f"http://{url}"
+    # 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")
@@ -135,7 +138,12 @@ async def list_endpoints() -> dict[str, Any]:
 
 @router.post("/endpoints")
 async def create_endpoint(payload: EndpointIn) -> dict[str, Any]:
-    base_url, _host = _parsed_url(payload.base_url)
+    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:
@@ -151,7 +159,8 @@ async def update_endpoint(endpoint_id: str, payload: EndpointPatch) -> dict[str,
     _stored_endpoint(endpoint_id)
     base_url = payload.base_url
     if base_url is not None:
-        base_url, _host = _parsed_url(base_url)
+        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

calliope-backend/src/calliope/routers/playground.py

@@ -1,4 +1,5 @@
 """Standalone ComfyUI playground — generate freely, attach favorites to projects."""
+
 from __future__ import annotations
 
 import json
@@ -13,6 +14,10 @@ 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
@@ -27,6 +32,23 @@ PLAYGROUND_TITLE = "Playground Scratch"
 # page can label origins ("独立生图" vs canvas Playground) without guessing.
 PlaygroundSource = Literal["playground", "studio-image", "studio-video"]
 
+# HEL-684: a desk visit opened from a five-stage workbench row may carry
+# that row as optional context. Only real, server-verified project/stage/
+# source info is accepted — the source row must still exist in the stage
+# content, and the desk kind must match what that stage renders.
+WorkbenchStage = Literal["assets", "shot"]
+WORKBENCH_KIND_BY_STAGE: dict[str, str] = {"assets": "image", "shot": "video"}
+WORKBENCH_ROW_KEY_BY_STAGE: dict[str, str] = {"assets": "assets", "shot": "shots"}
+
+
+class PlaygroundWorkbenchContext(BaseModel):
+    project_id: int
+    stage: WorkbenchStage
+    source_kind: Literal["asset", "shot"]
+    source_id: str = Field(min_length=1)
+    # Display-only echo of the DeskContext label (e.g. 镜头 S1).
+    label: str | None = None
+
 
 class PlaygroundGenerate(BaseModel):
     workflow_id: int
@@ -35,6 +57,13 @@ class PlaygroundGenerate(BaseModel):
     # then the active one (resolved in queue_manager.enqueue).
     endpoint_id: str | None = None
     source: PlaygroundSource = "playground"
+    # Optional real workbench source — validated, then stamped on the job
+    # payload so a finished take can be flowed back (attach-workbench).
+    context: PlaygroundWorkbenchContext | None = None
+
+
+class PlaygroundAttachWorkbench(BaseModel):
+    job_id: int
 
 
 class PlaygroundAttach(BaseModel):
@@ -79,6 +108,72 @@ def ensure_playground_project(conn) -> int:
     return int(cur.lastrowid)
 
 
+# ─────────────────────────────────────────────────────────────────────────
+# HEL-684: workbench source context — validate against real rows, never
+# guess. Both generate-time (record on the job payload) and attach-time
+# (flow a finished take back) go through the same checks.
+# ─────────────────────────────────────────────────────────────────────────
+
+
+def _workbench_target_row(conn, ctx: PlaygroundWorkbenchContext) -> dict[str, Any] | None:
+    """The real asset/shot row this context points at, or None."""
+    stage = conn.execute(
+        "SELECT content_json FROM project_stages WHERE project_id = ? AND stage_key = ?",
+        (ctx.project_id, ctx.stage),
+    ).fetchone()
+    if not stage or not stage["content_json"]:
+        return None
+    try:
+        content = json.loads(stage["content_json"])
+    except (json.JSONDecodeError, TypeError):
+        return None
+    rows = content.get(WORKBENCH_ROW_KEY_BY_STAGE[ctx.stage])
+    if not isinstance(rows, list):
+        return None
+    for row in rows:
+        if isinstance(row, dict) and str(row.get("id") or "") == ctx.source_id:
+            return row
+    return None
+
+
+def _validate_workbench_context(conn, ctx: PlaygroundWorkbenchContext, kind: str) -> dict[str, Any]:
+    """Reject anything that is not a real, current project/stage/source.
+
+    Returns the payload stamp for the job. Raises on any mismatch so no
+    guessed or stale source is ever recorded.
+    """
+    expected_kind = WORKBENCH_KIND_BY_STAGE[ctx.stage]
+    expected_source_kind = "asset" if ctx.stage == "assets" else "shot"
+    if ctx.source_kind != expected_source_kind or kind != expected_kind:
+        raise HTTPException(
+            status_code=422,
+            detail=(
+                f"来源上下文与生成类型不符：「{ctx.stage}」阶段需要{expected_kind}生成。"
+                "可关闭来源提示后独立生成。"
+            ),
+        )
+    project = conn.execute(
+        "SELECT id, status FROM projects WHERE id = ?", (ctx.project_id,)
+    ).fetchone()
+    if not project:
+        raise HTTPException(status_code=404, detail="来源项目不存在，无法记录回流上下文")
+    if project["status"] == PLAYGROUND_STATUS:
+        raise HTTPException(status_code=400, detail="不能以 playground 隐藏项目作为回流来源")
+    if _workbench_target_row(conn, ctx) is None:
+        raise HTTPException(
+            status_code=409,
+            detail=(
+                "来源"
+                f"{'资产' if ctx.source_kind == 'asset' else '镜头'}行已不存在"
+                "（阶段内容可能已重新生成）。可关闭来源提示后独立生成。"
+            ),
+        )
+    stamp: dict[str, Any] = ctx.model_dump()
+    if not (stamp.get("label") or "").strip():
+        stamp["label"] = None
+    return stamp
+
+
 def _assert_path_in_assets(path: str) -> Path:
     assets_root = config.settings.assets_dir.resolve()
     target = Path(path).resolve()
@@ -191,9 +286,36 @@ async def list_playground_jobs(limit: int = 50) -> list[dict[str, Any]]:
     conn = get_db(config.settings.db_path)
     try:
         pid = ensure_playground_project(conn)
+        # HEL-684: which takes have already been flowed back to a workbench
+        # row (per source project) — the desk shows an honest 已回流 state
+        # that survives reloads instead of guessing from client memory.
+        links_by_project: dict[int, dict[int, dict[str, Any]]] = {}
+        rows = conn.execute(
+            "SELECT DISTINCT project_id FROM jobs"
+            " WHERE payload_json LIKE '%\"from_playground_job\"%'"
+        ).fetchall()
+        for r in rows:
+            proj_id = int(r["project_id"])
+            links_by_project[proj_id] = _workbench_link_rows(conn, proj_id)
     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"
+    ]
+    out = []
+    for j in jobs:
+        pub = _job_public(j)
+        stamp = (pub.get("payload") or {}).get("workbench")
+        if isinstance(stamp, dict) and isinstance(stamp.get("project_id"), int):
+            link = links_by_project.get(int(stamp["project_id"]), {}).get(int(pub["id"]))
+            if link and link.get("target_id") == stamp.get("source_id"):
+                pub["workbench_attach"] = link
+        out.append(pub)
+    return out
 
 
 @router.delete("/jobs/{job_id}")
@@ -228,6 +350,21 @@ async def delete_playground_job(job_id: int) -> dict[str, Any]:
     conn = get_db(config.settings.db_path)
     try:
         _clear_entity_refs(conn, [p for p in paths if isinstance(p, str)])
+        # HEL-684: the output files are about to vanish — drop the workbench
+        # link rows created from this take so no project row points at
+        # missing media (mirrors the entity-ref clearing above).
+        removed_links: list[int] = []
+        link_rows = conn.execute(
+            "SELECT id, payload_json FROM jobs WHERE payload_json LIKE '%\"from_playground_job\"%'"
+        ).fetchall()
+        for r in link_rows:
+            try:
+                p = json.loads(r["payload_json"] or "{}")
+            except (json.JSONDecodeError, TypeError):
+                continue
+            if p.get("from_playground_job") == job_id:
+                conn.execute("DELETE FROM jobs WHERE id = ?", (int(r["id"]),))
+                removed_links.append(int(r["id"]))
         conn.commit()
     finally:
         conn.close()
@@ -250,6 +387,7 @@ async def delete_playground_job(job_id: int) -> dict[str, Any]:
         "job_id": job_id,
         "deleted_files": deleted_files,
         "missing_files": missing_files,
+        "removed_workbench_links": removed_links,
     }
 
 
@@ -332,26 +470,57 @@ 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
+        )
+        # HEL-684: an optional workbench source is only recorded when it is
+        # real and current — the job itself still runs on the playground
+        # scratch project so the desk feed, SSE and tasks stay unchanged.
+        workbench_stamp = (
+            _validate_workbench_context(conn, payload.context, kind)
+            if payload.context is not None
+            else None
+        )
     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,
+            "input_values": input_values,
             "source": payload.source,
             **({"endpoint_id": payload.endpoint_id} if payload.endpoint_id else {}),
+            **({"workbench": workbench_stamp} if workbench_stamp else {}),
         },
     )
     await event_bus.publish(
@@ -462,3 +631,167 @@ async def attach_to_project(payload: PlaygroundAttach) -> dict[str, Any]:
         return out
     finally:
         conn.close()
+
+
+def _workbench_link_rows(conn, project_id: int) -> dict[int, dict[str, Any]]:
+    """playground job id → its flow-back link row on this project.
+
+    Link rows are done jobs with payload.source='workbench' and a
+    from_playground_job stamp — the exact shape _workbench_job_outputs
+    already enriches the workbench rows from, so a flowed-back take shows
+    up on its source row through the existing display path.
+    """
+    out: dict[int, dict[str, Any]] = {}
+    rows = conn.execute(
+        "SELECT id, payload_json FROM jobs WHERE project_id = ? ORDER BY id ASC",
+        (project_id,),
+    ).fetchall()
+    for r in rows:
+        try:
+            p = json.loads(r["payload_json"] or "{}")
+        except (json.JSONDecodeError, TypeError):
+            continue
+        if p.get("source") != "workbench":
+            continue
+        src = p.get("from_playground_job")
+        if isinstance(src, int):
+            out[src] = {
+                "job_id": int(r["id"]),
+                "stage": p.get("stage_key"),
+                "target_id": p.get("target_id"),
+            }
+    return out
+
+
+@router.post("/attach-workbench")
+async def attach_workbench(payload: PlaygroundAttachWorkbench) -> dict[str, Any]:
+    """Flow a finished desk take back to its workbench source row (HEL-684).
+
+    The source is whatever real context the generate request carried —
+    nothing is guessed here. Re-attaching is idempotent: the existing link
+    row is returned, no duplicate is created, nothing is overwritten.
+    """
+    conn = get_db(config.settings.db_path)
+    try:
+        pid = ensure_playground_project(conn)
+        job = queue_manager.get_job(payload.job_id)
+        if not job:
+            raise HTTPException(status_code=404, detail="Job not found")
+        if int(job["project_id"]) != int(pid):
+            raise HTTPException(status_code=403, detail="Not a playground job")
+
+        try:
+            job_payload = json.loads(job.get("payload_json") or "{}")
+        except (json.JSONDecodeError, TypeError):
+            job_payload = {}
+        stamp = job_payload.get("workbench")
+        if not isinstance(stamp, dict) or not stamp.get("source_id"):
+            raise HTTPException(
+                status_code=400, detail="该记录没有项目来源上下文，无法回流（独立生成不回流）"
+            )
+        if job["status"] != "done":
+            raise HTTPException(status_code=400, detail="生成完成后才能回流")
+        outputs = json.loads(job.get("output_paths_json") or "[]")
+        if not isinstance(outputs, list) or not outputs:
+            raise HTTPException(status_code=400, detail="该记录没有产物文件，无法回流")
+
+        try:
+            ctx = PlaygroundWorkbenchContext(
+                project_id=int(stamp["project_id"]),
+                stage=stamp.get("stage"),
+                source_kind=stamp.get("source_kind"),
+                source_id=str(stamp["source_id"]),
+                label=stamp.get("label"),
+            )
+        except Exception as exc:  # pydantic ValidationError / missing keys
+            raise HTTPException(
+                status_code=400, detail="该记录的项目来源上下文无效，无法回流"
+            ) from exc
+        # Re-validate against the live stage content — the row may have been
+        # regenerated since the take was created; refuse rather than mis-write.
+        if _workbench_target_row(conn, ctx) is None:
+            raise HTTPException(
+                status_code=409,
+                detail=(
+                    "来源"
+                    f"{'资产' if ctx.source_kind == 'asset' else '镜头'}行已不存在"
+                    "（阶段内容可能已重新生成），未回流。"
+                ),
+            )
+
+        links = _workbench_link_rows(conn, ctx.project_id)
+        existing = links.get(int(job["id"]))
+        if existing and existing.get("target_id") == ctx.source_id:
+            return {
+                "ok": True,
+                "already_attached": True,
+                "job_id": int(job["id"]),
+                "attached_job_id": existing["job_id"],
+                "project_id": ctx.project_id,
+                "stage": ctx.stage,
+                "target_id": ctx.source_id,
+            }
+
+        link_payload = {
+            "source": "workbench",
+            "stage_key": ctx.stage,
+            "target_id": ctx.source_id,
+            "from_playground_job": int(job["id"]),
+            "input_values": job_payload.get("input_values") or {},
+        }
+        if ctx.label:
+            link_payload["label"] = ctx.label
+        cur = conn.execute(
+            """
+            INSERT INTO jobs (project_id, kind, workflow_id, status, payload_json,
+                              output_paths_json, created_at, started_at, completed_at, origin)
+            VALUES (?, ?, ?, 'done', ?, ?,
+                    CURRENT_TIMESTAMP, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP, 'user')
+            """,
+            (
+                ctx.project_id,
+                job["kind"],
+                job["workflow_id"],
+                json.dumps(link_payload, ensure_ascii=False),
+                json.dumps([str(p) for p in outputs if isinstance(p, str)]),
+            ),
+        )
+        conn.execute(
+            "UPDATE projects SET updated_at = CURRENT_TIMESTAMP WHERE id = ?",
+            (ctx.project_id,),
+        )
+        conn.commit()
+        link_id = int(cur.lastrowid)
+    finally:
+        conn.close()
+
+    await event_bus.publish(
+        "job.completed",
+        {
+            "job_id": link_id,
+            "kind": job["kind"],
+            "outputs": outputs,
+            "project_id": ctx.project_id,
+            "source": "workbench",
+            "message": "生成台结果已回流到项目",
+        },
+    )
+    await event_bus.publish(
+        "asset.ready",
+        {
+            "job_id": link_id,
+            "path": outputs[0] if isinstance(outputs[0], str) else str(outputs[0]),
+            "project_id": ctx.project_id,
+            "target": "workbench",
+            "source": "playground_attach",
+        },
+    )
+    return {
+        "ok": True,
+        "already_attached": False,
+        "job_id": int(job["id"]),
+        "attached_job_id": link_id,
+        "project_id": ctx.project_id,
+        "stage": ctx.stage,
+        "target_id": ctx.source_id,
+    }

calliope-backend/src/calliope/routers/projects.py

@@ -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)

calliope-backend/src/calliope/routers/results.py

@@ -0,0 +1,244 @@
+"""Editable task deliverables and explicit, idempotent result → stage drafts."""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel, Field, model_validator
+
+from calliope.config import settings
+from calliope.db import get_db, row_to_dict
+from calliope.events.bus import event_bus
+from calliope.routers.workbench import StageKey
+
+router = APIRouter()
+
+
+class DraftPatch(BaseModel):
+    revision: int = Field(ge=1)
+    content: str = Field(min_length=1, max_length=200_000)
+    project_id: int | None = None
+    stage_key: StageKey
+
+
+class StoreResult(BaseModel):
+    project_id: int = Field(gt=0)
+    stage_key: StageKey
+    deliverable_id: int | None = Field(default=None, gt=0)
+    revision: int | None = Field(default=None, gt=0)
+    job_id: int | None = Field(default=None, gt=0)
+
+    @model_validator(mode="after")
+    def one_source(self):
+        if (self.deliverable_id is None) == (self.job_id is None):
+            raise ValueError("Choose exactly one result source")
+        if self.deliverable_id is not None and self.revision is None:
+            raise ValueError("Deliverable revision is required")
+        return self
+
+
+def _public(row) -> dict[str, Any]:
+    return row_to_dict(row)
+
+
+@router.get("/deliverables")
+def list_deliverables(session_id: int | None = None) -> list[dict[str, Any]]:
+    conn = get_db(settings.db_path)
+    try:
+        sql = "SELECT * FROM agent_deliverables"
+        args = ()
+        if session_id is not None:
+            sql += " WHERE session_id=?"
+            args = (session_id,)
+        return [_public(r) for r in conn.execute(sql + " ORDER BY id DESC", args)]
+    finally:
+        conn.close()
+
+
+@router.get("/deliverables/{draft_id}/versions")
+def list_versions(draft_id: int) -> list[dict[str, Any]]:
+    conn = get_db(settings.db_path)
+    try:
+        if not conn.execute("SELECT id FROM agent_deliverables WHERE id=?", (draft_id,)).fetchone():
+            raise HTTPException(404, "成果不存在")
+        return [
+            _public(row)
+            for row in conn.execute(
+                "SELECT * FROM agent_deliverable_versions WHERE deliverable_id=? "
+                "ORDER BY revision DESC",
+                (draft_id,),
+            )
+        ]
+    finally:
+        conn.close()
+
+
+@router.patch("/deliverables/{draft_id}")
+def patch_deliverable(draft_id: int, payload: DraftPatch) -> dict[str, Any]:
+    conn = get_db(settings.db_path)
+    try:
+        conn.execute("BEGIN IMMEDIATE")
+        row = conn.execute("SELECT * FROM agent_deliverables WHERE id=?", (draft_id,)).fetchone()
+        if not row:
+            raise HTTPException(404, "成果不存在")
+        if payload.project_id is not None:
+            from calliope.routers.workbench import _get_project
+
+            _get_project(conn, payload.project_id)
+        if row["revision"] != payload.revision:
+            raise HTTPException(409, "草稿已更新，请刷新后重试")
+        # A linked session cannot silently move its work into another project.
+        session = conn.execute(
+            "SELECT project_id FROM agent_sessions WHERE id=?", (row["session_id"],)
+        ).fetchone()
+        if session["project_id"] is not None and payload.project_id != session["project_id"]:
+            raise HTTPException(409, "成果归属与原会话项目不一致")
+        if not payload.content.strip():
+            raise HTTPException(422, "成果内容不能为空")
+        conn.execute(
+            "INSERT INTO agent_deliverable_versions(deliverable_id,revision,content) "
+            "VALUES (?,?,?)",
+            (draft_id, row["revision"], row["content"]),
+        )
+        conn.execute(
+            "UPDATE agent_deliverables SET content=?,project_id=?,stage_key=?,revision=revision+1,"
+            "updated_at=CURRENT_TIMESTAMP WHERE id=?",
+            (payload.content, payload.project_id, payload.stage_key, draft_id),
+        )
+        conn.commit()
+        return _public(
+            conn.execute("SELECT * FROM agent_deliverables WHERE id=?", (draft_id,)).fetchone()
+        )
+    finally:
+        conn.close()
+
+
+@router.post("/store")
+async def store_result(payload: StoreResult) -> dict[str, Any]:
+    from calliope.agent.llm import extract_json
+    from calliope.routers.playground import _assert_path_in_assets
+    from calliope.routers.workbench import (
+        NORMALIZERS,
+        StageContentError,
+        _get_project,
+        _stage_or_404,
+        _stage_public,
+    )
+
+    conn = get_db(settings.db_path)
+    try:
+        conn.execute("BEGIN IMMEDIATE")
+        _get_project(conn, payload.project_id)
+        stage = _stage_or_404(conn, payload.project_id, payload.stage_key)
+        draft = None
+        if payload.deliverable_id is not None:
+            draft = conn.execute(
+                "SELECT * FROM agent_deliverables WHERE id=?", (payload.deliverable_id,)
+            ).fetchone()
+            if not draft:
+                raise HTTPException(404, "成果不存在")
+            if draft["revision"] != payload.revision:
+                raise HTTPException(409, "草稿版本已变化，请先保存并刷新")
+            if draft["project_id"] != payload.project_id or draft["stage_key"] != payload.stage_key:
+                raise HTTPException(409, "请先保存成果的项目与阶段归属")
+            session = conn.execute(
+                "SELECT project_id FROM agent_sessions WHERE id=?", (draft["session_id"],)
+            ).fetchone()
+            if session["project_id"] is not None and session["project_id"] != payload.project_id:
+                raise HTTPException(409, "会话项目已变化，请重新核对成果归属")
+            source_key = f"deliverable:{draft['id']}:{draft['revision']}"
+            result = {
+                "source_key": source_key,
+                "title": draft["title"],
+                "text": draft["content"],
+                "session_id": draft["session_id"],
+            }
+        else:
+            job = conn.execute("SELECT * FROM jobs WHERE id=?", (payload.job_id,)).fetchone()
+            if not job:
+                raise HTTPException(404, "生成结果不存在")
+            project = conn.execute(
+                "SELECT status FROM projects WHERE id=?", (job["project_id"],)
+            ).fetchone()
+            if job["project_id"] != payload.project_id and (
+                not project or project["status"] != "system"
+            ):
+                raise HTTPException(409, "此结果属于其他项目")
+            if job["status"] != "done" or job["kind"] not in ("image", "video"):
+                raise HTTPException(409, "仅可存入已完成的图片或视频")
+            paths = json.loads(job["output_paths_json"] or "[]")
+            if (
+                not paths
+                or not isinstance(paths, list)
+                or not all(isinstance(p, str) for p in paths)
+            ):
+                raise HTTPException(422, "结果没有产物")
+            for path in paths:
+                if not _assert_path_in_assets(path).is_file():
+                    raise HTTPException(410, "产物文件已不存在")
+            source_key = f"job:{job['id']}"
+            result = {
+                "source_key": source_key,
+                "title": f"生成结果 #{job['id']}",
+                "kind": job["kind"],
+                "paths": paths,
+                "job_id": job["id"],
+            }
+        existing = conn.execute(
+            "SELECT id FROM result_attachments WHERE source_key=? AND project_id=? AND stage_key=?",
+            (source_key, payload.project_id, payload.stage_key),
+        ).fetchone()
+        if existing:
+            return {"ok": True, "already_attached": True, "stage": _stage_public(stage)}
+        if stage["status"] == "running":
+            raise HTTPException(409, "本阶段正在生成，请稍后再存入")
+        content = json.loads(stage["content_json"] or "{}")
+        if draft:
+            text = draft["content"].strip()
+            # Valid structured artifacts replace only the working draft.
+            # Confirmed snapshots stay intact.
+            parsed = None
+            try:
+                parsed = extract_json(text)
+            except ValueError:
+                if payload.stage_key == "script":
+                    parsed = {"text": text}
+            if isinstance(parsed, dict):
+                try:
+                    normalized = NORMALIZERS[payload.stage_key](parsed)
+                    normalized["incoming_results"] = content.get("incoming_results", [])
+                    content = normalized
+                except StageContentError as exc:
+                    raise HTTPException(422, str(exc)) from exc
+        incoming = list(content.get("incoming_results") or [])
+        incoming.append(result)
+        content["incoming_results"] = incoming
+        conn.execute(
+            "UPDATE project_stages SET content_json=?,status='awaiting_confirm',draft_edited=1,"
+            "error=NULL,updated_at=CURRENT_TIMESTAMP WHERE project_id=? AND stage_key=?",
+            (json.dumps(content, ensure_ascii=False), payload.project_id, payload.stage_key),
+        )
+        conn.execute(
+            "INSERT INTO result_attachments(source_key,project_id,stage_key) VALUES (?,?,?)",
+            (source_key, payload.project_id, payload.stage_key),
+        )
+        if draft:
+            conn.execute(
+                "UPDATE agent_sessions SET task_status='returned' WHERE id=?",
+                (draft["session_id"],),
+            )
+        conn.execute(
+            "UPDATE projects SET updated_at=CURRENT_TIMESTAMP WHERE id=?", (payload.project_id,)
+        )
+        conn.commit()
+        row = _stage_or_404(conn, payload.project_id, payload.stage_key)
+        out = {"ok": True, "already_attached": False, "stage": _stage_public(row)}
+    finally:
+        conn.close()
+    await event_bus.publish(
+        "workbench.stage.updated",
+        {"project_id": payload.project_id, "stage_key": payload.stage_key},
+    )
+    return out

calliope-backend/src/calliope/routers/settings.py

@@ -107,7 +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

calliope-backend/src/calliope/routers/workbench.py

@@ -0,0 +1,968 @@
+"""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 StageNotePatch(BaseModel):
+    text: str = Field(max_length=200_000)
+
+
+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]:
+    content = json.loads(row["content_json"]) if row["content_json"] else None
+    return {
+        "stage_key": row["stage_key"],
+        "status": row["status"],
+        "content": content,
+        "assistant_note": (content or {}).get("assistant_note", ""),
+        "incoming_results": (content or {}).get("incoming_results", []),
+        "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:
+            latest_stage = _load_stage(conn, project_id, stage_key)
+            previous = json.loads(latest_stage["content_json"]) if latest_stage["content_json"] else {}
+            if previous.get("assistant_note"):
+                content["assistant_note"] = previous["assistant_note"]
+            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
+        old_content = json.loads(stage["content_json"]) if stage["content_json"] else {}
+        if old_content.get("incoming_results"):
+            content["incoming_results"] = old_content["incoming_results"]
+        if old_content.get("assistant_note"):
+            content["assistant_note"] = old_content["assistant_note"]
+        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.patch("/projects/{project_id}/stages/{stage_key}/note")
+async def patch_stage_note(project_id: int, stage_key: str, payload: StageNotePatch) -> dict[str, Any]:
+    """Keep free-text advice separate from validated stage artifacts and snapshots."""
+    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，请稍候再保存建议。")
+        content = json.loads(stage["content_json"]) if stage["content_json"] else {}
+        if payload.text.strip():
+            content["assistant_note"] = payload.text.strip()
+        else:
+            content.pop("assistant_note", None)
+        conn.execute(
+            "UPDATE project_stages SET content_json=?, updated_at=CURRENT_TIMESTAMP "
+            "WHERE project_id=? AND stage_key=?",
+            (json.dumps(content, ensure_ascii=False) if content else None, project_id, stage_key),
+        )
+        conn.execute("UPDATE projects SET updated_at=CURRENT_TIMESTAMP WHERE id=?", (project_id,))
+        conn.commit()
+        return {"ok": True, "stage": _stage_public(_load_stage(conn, project_id, stage_key))}
+    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。")
+        try:
+            content = NORMALIZERS[stage_key](json.loads(stage["content_json"]))
+        except StageContentError as exc:
+            raise HTTPException(status_code=400, detail=str(exc)) from exc
+        raw_content = json.loads(stage["content_json"])
+        if raw_content.get("incoming_results"):
+            content["incoming_results"] = raw_content["incoming_results"]
+        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。")
+        content = json.loads(stage["confirmed_content_json"])
+        current = json.loads(stage["content_json"]) if stage["content_json"] else {}
+        if current.get("assistant_note"):
+            content["assistant_note"] = current["assistant_note"]
+        conn.execute(
+            "UPDATE project_stages SET content_json=?, "
+            "status='confirmed', draft_edited=0, updated_at=CURRENT_TIMESTAMP "
+            "WHERE project_id = ? AND stage_key = ?",
+            (json.dumps(content, ensure_ascii=False), 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)}

calliope-backend/src/calliope/routers/workflows.py

@@ -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.
@@ -110,38 +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,
-                                   endpoint_id, is_enabled)
-            VALUES (?, ?, ?, ?, ?, ?, ?, ?, 1)
+                                   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()
@@ -173,9 +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
-        # endpoint_id: explicit null clears the binding; other Nones are skips.
-        explicit_null = {"endpoint_id"} & {k for k, v in data.items() if v is 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
@@ -187,14 +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()

calliope-backend/tests/conftest.py

@@ -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):

calliope-backend/tests/fixtures/comfy_native/h3_i2v_04_API.json

@@ -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)"
+    }
+  }
+}

calliope-backend/tests/fixtures/comfy_native/h3_ref2va_05_API.json

@@ -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"
+    }
+  }
+}

calliope-backend/tests/fixtures/comfy_native/minimax_h3_t2v_untagged_API.json

@@ -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": {
+   "expression": "a*2",
+   "a": [
+    "5986",
+    0
+   ]
+  },
+  "class_type": "MathExpression|pysssss",
+  "_meta": {
+   "title": "Math Expression 🐍"
+  }
+ },
+ "5975": {
+  "inputs": {
+   "resize_type": "scale by multiplier",
+   "resize_type.scale": 1.5,
+   "quality": "ULTRA",
+   "images": [
+    "5971",
+    0
+   ]
+  },
+  "class_type": "RTXVideoSuperResolution",
+  "_meta": {
+   "title": "RTX Video Super Resolution Pro"
+  }
+ },
+ "5976": {
+  "inputs": {
+   "anything": [
+    "5977",
+    0
+   ]
+  },
+  "class_type": "easy clearCacheAll",
+  "_meta": {
+   "title": "Clear Cache All"
+  }
+ },
+ "5977": {
+  "inputs": {
+   "anything": [
+    "6063:5538",
+    0
+   ]
+  },
+  "class_type": "easy cleanGpuUsed",
+  "_meta": {
+   "title": "Clean VRAM Used"
+  }
+ },
+ "5978": {
+  "inputs": {
+   "frame_rate": [
+    "5974",
+    1
+   ],
+   "loop_count": 0,
+   "filename_prefix": "minimax-h3/vid-vfi",
+   "format": "video/h264-mp4",
+   "pix_fmt": "yuv420p",
+   "crf": 19,
+   "save_metadata": true,
+   "trim_to_audio": false,
+   "pingpong": false,
+   "save_output": true,
+   "images": [
+    "5975",
+    0
+   ],
+   "audio": [
+    "6063:4848",
+    0
+   ]
+  },
+  "class_type": "VHS_VideoCombine",
+  "_meta": {
+   "title": "Video Output 2"
+  }
+ },
+ "5986": {
+  "inputs": {
+   "value": 24
+  },
+  "class_type": "PrimitiveFloat",
+  "_meta": {
+   "title": "PrimitiveFloat"
+  }
+ },
+ "6005": {
+  "inputs": {
+   "value": "integrated_multimodal_description: [Shot 1] Cinematic, live-action, shot on iPhone, a vertical selfie frame from a phone held at arm's length above eye level. A young woman in her mid-twenties with sun-kissed tan skin and loose wavy chestnut brown hair, wearing a white cropped t-shirt with a gold pendant necklace, looks directly into the phone lens, her face filling the centre of frame. Warm golden hour sunlight hits the right side of her face from a low sun behind the trees, casting a soft amber glow across her skin. Behind her, a city park is blurred into soft green and gold bokeh — trees, dappled light, a hot pink sunset sky bleeding through the leaves. The camera holds static in selfie framing. The young woman's lips move as she speaks with a bright, energetic voice with a slight North American accent (S1): <d>[English] Oh my god, you guys, it is actually perfect out here right now.</d> Her mouth closes after the last word, then she breaks into a wide grin, teeth showing, the skin at the corners of her eyes crinkling. She tilts her head slightly to the right, the grin fading to a soft expression as her lips move and she speaks again, her voice warmer (S1): <d>[English] Like, I didn't want to leave.</d> Her mouth closes. She presses her lips together, then points her index finger at the camera and speaks with a playful tone, her lips forming each word (S1): <d>[English] So I'm not.</d> Her mouth closes, and the wide grin returns. With her free left hand she pushes the windblown hair behind her ear, her gold bracelet sliding down her wrist. She raises her free hand in a quick peace sign next to her cheek, her smile widening, and laughs — a short, genuine laugh, her mouth opening, shoulders shaking once, her eyes squeezing shut for a beat, then opening again. She drops the peace sign and brings the phone slightly closer, her face growing larger in frame, the grin settling into a warm smile. The camera pushes in with small amplitude at slow speed as the phone draws closer.\n\noverall_soundscape: A warm breeze carries birdsong and the distant hum of a city at golden hour. The woman's laugh is clear and close to the phone mic — short, genuine, with a slight exhale. Loose hair rustles as she tucks it behind her ear, and the gold bracelet lightly clinks against itself on her wrist.\n\nnon_diegetic_music: N/A"
+  },
+  "class_type": "PrimitiveStringMultiline",
+  "_meta": {
+   "title": "Text Prompt"
+  }
+ },
+ "6006": {
+  "inputs": {
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+   "shift_audio": 3,
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+  "_meta": {
+   "title": "ModelSamplingMiniMaxH3"
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+  "inputs": {
+   "PowerLoraLoaderHeaderWidget": {
+    "type": "PowerLoraLoaderHeaderWidget"
+   },
+   "lora_1": {
+    "on": true,
+    "lora": "minimax-h3\\h3-realism-people-t2v-i2v-r2v(r34l1sm).safetensors",
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+ "6020": {
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+   "min_tokens": 4096,
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+  "_meta": {
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+  "inputs": {
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+  "_meta": {
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+  },
+  "class_type": "VAELoader",
+  "_meta": {
+   "title": "Load VAE - Video"
+  }
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+ "6062:5569": {
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+   "weight_dtype": "default"
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+  "class_type": "UNETLoader",
+  "_meta": {
+   "title": "Load Diffusion Model"
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+  "inputs": {
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+  "class_type": "LatentUpscaleModelLoader",
+  "_meta": {
+   "title": "Load Latent Upscale Model"
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+  "inputs": {
+   "sigmas": "0.85, 0.7250, 0.4219, 0.0"
+  },
+  "class_type": "ManualSigmas",
+  "_meta": {
+   "title": "ManualSigmas"
+  }
+ },
+ "6061:4976": {
+  "inputs": {
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+  },
+  "class_type": "KSamplerSelect",
+  "_meta": {
+   "title": "KSamplerSelect"
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+ },
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+   "negative": [
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+    1
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+  },
+  "class_type": "CFGGuider",
+  "_meta": {
+   "title": "CFG Guider"
+  }
+ },
+ "6061:4967": {
+  "inputs": {
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+  },
+  "class_type": "RandomNoise",
+  "_meta": {
+   "title": "RandomNoise"
+  }
+ },
+ "6061:4973": {
+  "inputs": {
+   "av_latent": [
+    "6061:4971",
+    0
+   ]
+  },
+  "class_type": "LTXVSeparateAVLatent",
+  "_meta": {
+   "title": "LTXVSeparateAVLatent"
+  }
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+ "6061:4971": {
+  "inputs": {
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+  "class_type": "SamplerCustomAdvanced",
+  "_meta": {
+   "title": "SamplerCustomAdvanced"
+  }
+ },
+ "6061:4969": {
+  "inputs": {
+   "video_latent": [
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+    0
+   ],
+   "audio_latent": [
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+    0
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+  },
+  "class_type": "LTXVConcatAVLatent",
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+   "title": "LTXVConcatAVLatent"
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+ "6061:6072": {
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+   "width": [
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+  "_meta": {
+   "title": "Create Solid Mask"
+  }
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+ "6061:4975": {
+  "inputs": {
+   "samples": [
+    "6061:6070",
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+   "upscale_model": [
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+   ]
+  },
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+  "_meta": {
+   "title": "LTXVLatentUpsampler"
+  }
+ },
+ "6061:6070": {
+  "inputs": {
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+  "_meta": {
+   "title": "VAE Encode"
+  }
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+ "6061:4970": {
+  "inputs": {
+   "strength": 1,
+   "bypass": true,
+   "vae": [
+    "6062:5571",
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+   "image": [
+    "6059",
+    0
+   ],
+   "latent": [
+    "6061:4975",
+    0
+   ]
+  },
+  "class_type": "LTXVImgToVideoInplace",
+  "_meta": {
+   "title": "LTXVImgToVideoInplace"
+  }
+ },
+ "6061:6074": {
+  "inputs": {
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+    "6061:6075",
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+   ],
+   "mask": [
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+    0
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+  },
+  "class_type": "SetLatentNoiseMask",
+  "_meta": {
+   "title": "Set Latent Noise Mask"
+  }
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+ "6061:6073": {
+  "inputs": {
+   "image": [
+    "6059",
+    0
+   ]
+  },
+  "class_type": "GetImageSize",
+  "_meta": {
+   "title": "Get Image Size"
+  }
+ },
+ "6061:6075": {
+  "inputs": {
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+    "209",
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+   "audio_vae": [
+    "6062:5570",
+    0
+   ]
+  },
+  "class_type": "LTXVAudioVAEEncode",
+  "_meta": {
+   "title": "LTXV Audio VAE Encode"
+  }
+ },
+ "6063:5538": {
+  "inputs": {
+   "tile_size": 512,
+   "overlap": 64,
+   "temporal_size": 128,
+   "temporal_overlap": 32,
+   "samples": [
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+    0
+   ],
+   "vae": [
+    "6062:5571",
+    0
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+  },
+  "class_type": "VAEDecodeTiled",
+  "_meta": {
+   "title": "VAE Decode (Tiled)"
+  }
+ },
+ "6063:4848": {
+  "inputs": {
+   "samples": [
+    "6061:4973",
+    1
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+   "audio_vae": [
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+   ]
+  },
+  "class_type": "LTXVAudioVAEDecode",
+  "_meta": {
+   "title": "LTXV Audio VAE Decode"
+  }
+ }
+}

calliope-backend/tests/fixtures/comfy_native/qwen21_edit_sage_API.json

@@ -0,0 +1,136 @@
+{
+  "1": {
+    "inputs": {
+      "UNKNOWN": "qwen-image-2.1-Q4_K_M.gguf"
+    },
+    "_meta": {
+      "title": "Unet Loader (GGUF)"
+    }
+  },
+  "2": {
+    "inputs": {
+      "clip_name": "qwen3vl_8b_int8_convrot.safetensors",
+      "type": "qwen_image",
+      "device": "default"
+    },
+    "class_type": "CLIPLoader",
+    "_meta": {
+      "title": "加载CLIP"
+    }
+  },
+  "3": {
+    "inputs": {
+      "vae_name": "qwen_image_2.1_vae_bf16.safetensors"
+    },
+    "class_type": "VAELoader",
+    "_meta": {
+      "title": "加载VAE"
+    }
+  },
+  "4": {
+    "inputs": {
+      "prompt": "参考角色五官，重新生成图片：高细节皮肤质感",
+      "negative_prompt": "模糊，低质量，文字乱码，变形",
+      "resolution": 1024,
+      "clip": [
+        "2",
+        0
+      ],
+      "images.image_1": [
+        "10",
+        0
+      ],
+      "vae": [
+        "3",
+        0
+      ]
+    },
+    "class_type": "TextEncodeQwenImage21",
+    "_meta": {
+      "title": "Text Encode Qwen Image 2.1"
+    }
+  },
+  "5": {
+    "inputs": {
+      "width": 1024,
+      "height": 1024,
+      "batch_size": 1
+    },
+    "class_type": "EmptyLatentImage",
+    "_meta": {
+      "title": "空Latent图像"
+    }
+  },
+  "6": {
+    "inputs": {
+      "seed": 278835418249884,
+      "steps": 25,
+      "cfg": 1,
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "denoise": 1,
+      "positive": [
+        "4",
+        0
+      ],
+      "negative": [
+        "4",
+        1
+      ],
+      "latent_image": [
+        "4",
+        2
+      ]
+    },
+    "class_type": "KSampler",
+    "_meta": {
+      "title": "K采样器"
+    }
+  },
+  "7": {
+    "inputs": {
+      "samples": [
+        "6",
+        0
+      ],
+      "vae": [
+        "3",
+        0
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAE解码"
+    }
+  },
+  "8": {
+    "inputs": {
+      "filename_prefix": "qwen_image",
+      "images": [
+        "7",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "保存图像"
+    }
+  },
+  "9": {
+    "inputs": {
+      "UNKNOWN": "auto"
+    },
+    "_meta": {
+      "title": "Patch Sage Attention KJ"
+    }
+  },
+  "10": {
+    "inputs": {
+      "image": "3f24a075cd7b4118829be1b222ca1ab9.png"
+    },
+    "class_type": "LoadImage",
+    "_meta": {
+      "title": "加载图像"
+    }
+  }
+}

calliope-backend/tests/fixtures/comfy_native/qwen_image_edit_mask_API.json

@@ -0,0 +1,126 @@
+{
+  "3": {
+    "inputs": {
+      "seed": 761215360232465,
+      "steps": 20,
+      "cfg": 2.5,
+      "sampler_name": "euler",
+      "scheduler": "simple",
+      "denoise": 1,
+      "model": ["75", 0],
+      "positive": ["76", 0],
+      "negative": ["77", 0],
+      "latent_image": ["90", 0]
+    },
+    "class_type": "KSampler",
+    "_meta": { "title": "KSampler" }
+  },
+  "8": {
+    "inputs": {
+      "samples": ["3", 0],
+      "vae": ["39", 0]
+    },
+    "class_type": "VAEDecode",
+    "_meta": { "title": "VAE Decode" }
+  },
+  "37": {
+    "inputs": {
+      "unet_name": "qwen_image_edit_2509_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" }
+  },
+  "60": {
+    "inputs": {
+      "filename_prefix": "ComfyUI",
+      "images": ["8", 0]
+    },
+    "class_type": "SaveImage",
+    "_meta": { "title": "Save Image" }
+  },
+  "75": {
+    "inputs": {
+      "shift": 3,
+      "model": ["37", 0]
+    },
+    "class_type": "ModelSamplingAuraFlow",
+    "_meta": { "title": "ModelSamplingAuraFlow" }
+  },
+  "76": {
+    "inputs": {
+      "prompt": "把背景换成夜晚的城市街道",
+      "clip": ["38", 0],
+      "vae": ["39", 0],
+      "image1": ["93", 0]
+    },
+    "class_type": "TextEncodeQwenImageEditPlus",
+    "_meta": { "title": "TextEncodeQwenImageEditPlus" }
+  },
+  "77": {
+    "inputs": {
+      "prompt": "",
+      "clip": ["38", 0],
+      "vae": ["39", 0],
+      "image1": ["93", 0]
+    },
+    "class_type": "TextEncodeQwenImageEditPlus",
+    "_meta": { "title": "TextEncodeQwenImageEditPlus" }
+  },
+  "78": {
+    "inputs": {
+      "image": "example.png"
+    },
+    "class_type": "LoadImage",
+    "_meta": { "title": "Load Image" }
+  },
+  "88": {
+    "inputs": {
+      "pixels": ["93", 0],
+      "vae": ["39", 0]
+    },
+    "class_type": "VAEEncode",
+    "_meta": { "title": "VAE Encode" }
+  },
+  "90": {
+    "inputs": {
+      "samples": ["88", 0],
+      "mask": ["95", 0]
+    },
+    "class_type": "SetLatentNoiseMask",
+    "_meta": { "title": "Set Latent Noise Mask" }
+  },
+  "93": {
+    "inputs": {
+      "upscale_method": "lanczos",
+      "megapixels": 1,
+      "image": ["78", 0]
+    },
+    "class_type": "ImageScaleToTotalPixels",
+    "_meta": { "title": "Scale Image to Total Pixels" }
+  },
+  "95": {
+    "inputs": {
+      "image": "mask.png",
+      "channel": "alpha"
+    },
+    "class_type": "LoadImageMask",
+    "_meta": { "title": "Load Image (as Mask)" }
+  }
+}

calliope-backend/tests/fixtures/comfy_native/qwen_image_t2i_API.json

@@ -0,0 +1,91 @@
+{
+  "3": {
+    "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" }
+  }
+}

calliope-backend/tests/fixtures/comfy_native/wen_sheng_shipin_API.json

@@ -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)"
+    }
+  }
+}

calliope-backend/tests/fixtures/comfy_native/wen_sheng_tu_API.json

@@ -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"
+    }
+  }
+}

calliope-backend/tests/test_agent_mention_limits.py

@@ -0,0 +1,36 @@
+"""Workflow uniqueness is independent of the selected task skills."""
+import pytest
+from pydantic import ValidationError
+from calliope.routers.agent import MessageCreate
+
+
+def workflow(n=1):
+    return {"type": "workflow", "id": n, "name": f"workflow-{n}", "kind": "image"}
+
+
+def skill(n=1):
+    return {"type": "skill", "name": f"skill-{n}"}
+
+
+def test_workflow_and_skills_can_be_sent_together():
+    message = MessageCreate(content="Create an image", mentions=[workflow(), *[skill(i) for i in range(4)]])
+    assert len(message.mentions) == 5
+    assert message.mentions[0].id == 1
+
+
+def test_legacy_single_workflow_is_accepted():
+    assert MessageCreate(mentions=[workflow()]).mentions[0].type == "workflow"
+
+
+def test_skills_without_workflow_are_accepted():
+    assert len(MessageCreate(mentions=[skill(i) for i in range(4)]).mentions) == 4
+
+
+def test_second_workflow_is_still_rejected():
+    with pytest.raises(ValidationError, match="Only one @workflow"):
+        MessageCreate(mentions=[workflow(), skill(), workflow(2)])
+
+
+def test_fifth_skill_is_rejected():
+    with pytest.raises(ValidationError, match="At most four skill"):
+        MessageCreate(mentions=[skill(i) for i in range(5)])

calliope-backend/tests/test_agent_roles.py

@@ -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"

calliope-backend/tests/test_comfyui_endpoints.py

@@ -374,6 +374,61 @@ def test_comfy_test_requires_url(client):
     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
 # ----------------------------------------------------------------------
@@ -381,10 +436,21 @@ def test_comfy_test_requires_url(client):
 
 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:
@@ -531,6 +597,41 @@ def test_queue_enqueue_stamps_all_paths(client):
             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:

calliope-backend/tests/test_image_input_workflows.py

@@ -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 == []

calliope-backend/tests/test_llm_profiles.py

@@ -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"}},

calliope-backend/tests/test_media_groups.py

@@ -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

calliope-backend/tests/test_pipeline.py

@@ -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
 
 

calliope-backend/tests/test_playground_workbench_flowback.py

@@ -0,0 +1,350 @@
+"""HEL-684 — playground takes flow back to their workbench source row.
+
+Covers the acceptance list: real-context-only passthrough (no guessing,
+stale rows rejected), explicit flow-back with idempotency (repeated
+operations create no duplicates), cancelled/independent paths never
+writing the project, and playground job deletion clearing the link.
+"""
+
+from __future__ import annotations
+
+import tempfile
+import time
+from pathlib import Path
+
+import pytest
+from fastapi.testclient import TestClient
+
+from calliope.db import migrate_db
+from calliope.main import create_app
+
+SAMPLE_WORKFLOW = {
+    "1": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {"text": "hello"},
+        "_meta": {"title": "Prompt (Input:prompt)"},
+    },
+    "2": {
+        "class_type": "SaveImage",
+        "inputs": {"images": ["1", 0]},
+        "_meta": {"title": "Save (Output:image)"},
+    },
+}
+
+SAMPLE_VIDEO_WORKFLOW = {
+    "1": {
+        "class_type": "CLIPTextEncode",
+        "inputs": {"text": "hello"},
+        "_meta": {"title": "Prompt (Input:prompt)"},
+    },
+    "2": {
+        "class_type": "SaveVideo",
+        "inputs": {"video": ["1", 0]},
+        "_meta": {"title": "Save (Output:video)"},
+    },
+}
+
+
+@pytest.fixture
+def client(monkeypatch):
+    with tempfile.TemporaryDirectory() as tmpdir:
+        import asyncio
+
+        import calliope.config as config_module
+
+        s = config_module.settings
+        prev = {
+            "data_dir": s.data_dir,
+            "assets_dir": s.assets_dir,
+            "dry_run": s.dry_run,
+        }
+        s.data_dir = Path(tmpdir)
+        s.assets_dir = Path(tmpdir) / "assets"
+        s.assets_dir.mkdir(parents=True, exist_ok=True)
+        s.dry_run = True
+        monkeypatch.setattr(config_module.Settings, "save_config_file", lambda self: None)
+        asyncio.run(migrate_db(s.db_path))
+        app = create_app()
+        try:
+            with TestClient(app) as c:
+                yield c
+        finally:
+            for k, v in prev.items():
+                setattr(s, k, v)
+
+
+def _wait_done(client: TestClient, job_id: int) -> dict:
+    for _ in range(60):
+        jobs = client.get("/api/playground/jobs").json()
+        done = next((j for j in jobs if j["id"] == job_id and j["status"] == "done"), None)
+        if done and done.get("output_paths"):
+            return done
+        time.sleep(0.25)
+    raise AssertionError("playground job did not finish in dry-run")
+
+
+def _seed_assets_stage(client: TestClient) -> dict:
+    proj = client.post("/api/projects", json={"title": "Reel"}).json()
+    # Real stage rows the way the workbench itself creates them.
+    patch = client.patch(
+        f"/api/workbench/projects/{proj['id']}/stages/assets",
+        json={
+            "content": {
+                "assets": [
+                    {
+                        "id": "asset-1",
+                        "kind": "character",
+                        "name": "林夏",
+                        "description": "",
+                        "prompt": "a stoic courier",
+                        "negative_prompt": "",
+                    }
+                ]
+            }
+        },
+    )
+    assert patch.status_code == 200, patch.text
+    return proj
+
+
+def _context(proj: dict, **over: object) -> dict:
+    base = {
+        "project_id": proj["id"],
+        "stage": "assets",
+        "source_kind": "asset",
+        "source_id": "asset-1",
+        "label": "角色「林夏」",
+    }
+    base.update(over)
+    return base
+
+
+def _make_workflow(client: TestClient, name: str, workflow: dict) -> int:
+    r = client.post(
+        "/api/workflows",
+        json={
+            "name": name,
+            "kind": "video" if "SaveVideo" in str(workflow) else "image",
+            "workflow_json": workflow,
+        },
+    )
+    assert r.status_code == 200, r.text
+    return r.json()["id"]
+
+
+# ── context passthrough ────────────────────────────────────────────────
+
+
+def test_generate_with_context_stamps_job_and_stays_on_playground(client):
+    wf_id = _make_workflow(client, "FB Img", SAMPLE_WORKFLOW)
+    proj = _seed_assets_stage(client)
+
+    r = client.post(
+        "/api/playground/generate",
+        json={
+            "workflow_id": wf_id,
+            "input_values": {"1": "a cat"},
+            "source": "studio-image",
+            "context": _context(proj),
+        },
+    )
+    assert r.status_code == 200, r.text
+    job = r.json()["job"]
+    assert job["payload"]["workbench"]["project_id"] == proj["id"]
+    assert job["payload"]["workbench"]["source_id"] == "asset-1"
+    assert job["payload"]["workbench"]["label"] == "角色「林夏」"
+
+    # The job itself rides the hidden playground project — independent
+    # desk behavior (feed, SSE, tasks) is untouched.
+    scratch = client.get("/api/playground/project").json()
+    assert job["project_id"] == scratch["id"]
+
+
+def test_generate_without_context_writes_nothing_to_any_project(client):
+    wf_id = _make_workflow(client, "FB Solo", SAMPLE_WORKFLOW)
+    _seed_assets_stage(client)
+    r = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "input_values": {"1": "solo"}},
+    )
+    assert r.status_code == 200
+    assert "workbench" not in r.json()["job"]["payload"]
+
+
+def test_generate_rejects_fake_or_stale_context(client):
+    wf_id = _make_workflow(client, "FB Fake", SAMPLE_WORKFLOW)
+    proj = _seed_assets_stage(client)
+
+    # Unknown project
+    r = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "context": _context(proj, project_id=99999)},
+    )
+    assert r.status_code == 404
+
+    # Source row that does not exist in the stage content
+    r = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "context": _context(proj, source_id="asset-404")},
+    )
+    assert r.status_code == 409
+
+    # Kind mismatch: assets stage wants an image workflow
+    video_wf = _make_workflow(client, "FB Vid", SAMPLE_VIDEO_WORKFLOW)
+    r = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": video_wf, "context": _context(proj)},
+    )
+    assert r.status_code == 422
+
+    # The playground scratch project is not a valid source
+    scratch = client.get("/api/playground/project").json()
+    r = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "context": _context(proj, project_id=scratch["id"])},
+    )
+    assert r.status_code == 400
+
+
+# ── flow back ──────────────────────────────────────────────────────────
+
+
+def test_attach_workbench_links_take_to_source_row(client):
+    wf_id = _make_workflow(client, "FB Link", SAMPLE_WORKFLOW)
+    proj = _seed_assets_stage(client)
+    job = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "input_values": {"1": "a cat"}, "context": _context(proj)},
+    ).json()["job"]
+
+    # Not done yet → refused, nothing written.
+    early = client.post("/api/playground/attach-workbench", json={"job_id": job["id"]})
+    assert early.status_code == 400
+
+    done = _wait_done(client, job["id"])
+
+    r = client.post("/api/playground/attach-workbench", json={"job_id": job["id"]})
+    assert r.status_code == 200, r.text
+    body = r.json()
+    assert body["already_attached"] is False
+    assert body["project_id"] == proj["id"]
+    assert body["target_id"] == "asset-1"
+
+    # The workbench overview now shows the artifact on the source row,
+    # through the exact enrichment path in-flow generation uses.
+    overview = client.get(f"/api/workbench/projects/{proj['id']}").json()
+    assets_stage = next(s for s in overview["stages"] if s["stage_key"] == "assets")
+    row = next(a for a in assets_stage["content"]["assets"] if a["id"] == "asset-1")
+    assert row["job"]["id"] == body["attached_job_id"]
+    assert row["job"]["status"] == "done"
+    assert row["job"]["output"] == done["output_paths"][0]
+
+    # Repeated flow-back: idempotent, no duplicate row.
+    again = client.post("/api/playground/attach-workbench", json={"job_id": job["id"]})
+    assert again.status_code == 200
+    assert again.json()["already_attached"] is True
+    assert again.json()["attached_job_id"] == body["attached_job_id"]
+
+    # The desk jobs list reports the honest 已回流 marker.
+    jobs = client.get("/api/playground/jobs").json()
+    listed = next(j for j in jobs if j["id"] == job["id"])
+    assert listed["workbench_attach"]["job_id"] == body["attached_job_id"]
+
+
+def test_attach_workbench_requires_real_context(client):
+    wf_id = _make_workflow(client, "FB NoCtx", SAMPLE_WORKFLOW)
+    job = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "input_values": {"1": "solo"}},
+    ).json()["job"]
+    _wait_done(client, job["id"])
+
+    r = client.post("/api/playground/attach-workbench", json={"job_id": job["id"]})
+    assert r.status_code == 400
+    assert "独立" in r.json()["detail"]
+
+
+def test_attach_workbench_refuses_regenerated_source(client):
+    wf_id = _make_workflow(client, "FB Stale", SAMPLE_WORKFLOW)
+    proj = _seed_assets_stage(client)
+    job = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "input_values": {"1": "a cat"}, "context": _context(proj)},
+    ).json()["job"]
+    _wait_done(client, job["id"])
+
+    # Stage content regenerated: the old row id is gone.
+    client.patch(
+        f"/api/workbench/projects/{proj['id']}/stages/assets",
+        json={
+            "content": {
+                "assets": [
+                    {
+                        "id": "asset-2",
+                        "kind": "prop",
+                        "name": "Blaster",
+                        "description": "",
+                        "prompt": "a blaster",
+                        "negative_prompt": "",
+                    }
+                ]
+            }
+        },
+    )
+
+    r = client.post("/api/playground/attach-workbench", json={"job_id": job["id"]})
+    assert r.status_code == 409
+    overview = client.get(f"/api/workbench/projects/{proj['id']}").json()
+    assets_stage = next(s for s in overview["stages"] if s["stage_key"] == "assets")
+    assert all("job" not in a for a in assets_stage["content"]["assets"])
+
+
+def test_attach_workbench_allows_new_flow_job_to_take_over(client):
+    """A later in-flow generation for the same row wins the display, as
+    the enrichment keeps the newest workbench job per target."""
+    wf_id = _make_workflow(client, "FB Takeover", SAMPLE_WORKFLOW)
+    proj = _seed_assets_stage(client)
+    job = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "input_values": {"1": "a cat"}, "context": _context(proj)},
+    ).json()["job"]
+    _wait_done(client, job["id"])
+    link = client.post("/api/playground/attach-workbench", json={"job_id": job["id"]}).json()
+
+    flow = client.post(
+        f"/api/workbench/projects/{proj['id']}/generate",
+        json={
+            "kind": "image",
+            "stage_key": "assets",
+            "target_id": "asset-1",
+            "prompt": "in-flow take",
+        },
+    )
+    assert flow.status_code == 200, flow.text
+
+    overview = client.get(f"/api/workbench/projects/{proj['id']}").json()
+    assets_stage = next(s for s in overview["stages"] if s["stage_key"] == "assets")
+    row = next(a for a in assets_stage["content"]["assets"] if a["id"] == "asset-1")
+    assert row["job"]["id"] != link["attached_job_id"]
+
+
+def test_delete_playground_job_removes_workbench_link(client):
+    wf_id = _make_workflow(client, "FB Del", SAMPLE_WORKFLOW)
+    proj = _seed_assets_stage(client)
+    job = client.post(
+        "/api/playground/generate",
+        json={"workflow_id": wf_id, "input_values": {"1": "a cat"}, "context": _context(proj)},
+    ).json()["job"]
+    done = _wait_done(client, job["id"])
+    link = client.post("/api/playground/attach-workbench", json={"job_id": job["id"]}).json()
+
+    dead = client.delete(f"/api/playground/jobs/{job['id']}")
+    assert dead.status_code == 200
+    assert dead.json()["removed_workbench_links"] == [link["attached_job_id"]]
+
+    # The link row is gone: the project row no longer points at deleted files.
+    overview = client.get(f"/api/workbench/projects/{proj['id']}").json()
+    assets_stage = next(s for s in overview["stages"] if s["stage_key"] == "assets")
+    row = next(a for a in assets_stage["content"]["assets"] if a["id"] == "asset-1")
+    assert "job" not in row or row["job"]["id"] != link["attached_job_id"]
+    assert not Path(done["output_paths"][0]).exists()

calliope-backend/tests/test_projects.py

@@ -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,
     }
 
 

calliope-backend/tests/test_real_workflow_status.py

@@ -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

calliope-backend/tests/test_results.py

@@ -0,0 +1,183 @@
+"""B4 draft persistence, concurrency, scope, confirmation and migration regression."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import sqlite3
+
+from calliope.agent.deliverables import complete_task
+from calliope.agent.harness.runner import runner
+from calliope.config import settings
+from calliope.db import get_db, migrate_db
+
+TEXT = (
+    "第一场，清晨海岸，女孩将纸船推向海面，等待父亲归来。"
+    "第二场，纸船带回树叶，女孩沿着灯塔的光继续前行。"
+)
+
+
+def setup(client, stage="script"):
+    project = client.post("/api/projects", json={"title": "B4 isolated"}).json()
+    session = client.post(
+        "/api/agent/sessions",
+        json={
+            "project_id": project["id"],
+            "agent_key": stage,
+        },
+    ).json()
+    runner._persist_message(session["id"], role="assistant", content=TEXT)
+    complete_task(session["id"], TEXT)
+    draft = client.get("/api/results/deliverables", params={"session_id": session["id"]}).json()[0]
+    return project["id"], session["id"], draft
+
+
+def store(client, pid, draft, stage="script"):
+    return client.post(
+        "/api/results/store",
+        json={
+            "project_id": pid,
+            "stage_key": stage,
+            "deliverable_id": draft["id"],
+            "revision": draft["revision"],
+        },
+    )
+
+
+def test_draft_save_refresh_conflict_and_scope(client):
+    pid, sid, draft = setup(client)
+    body = {"revision": 1, "content": TEXT + "新结尾。", "project_id": pid, "stage_key": "script"}
+    saved = client.patch(f"/api/results/deliverables/{draft['id']}", json=body)
+    assert saved.status_code == 200
+    assert saved.json()["revision"] == 2
+    versions = client.get(f"/api/results/deliverables/{draft['id']}/versions").json()
+    assert len(versions) == 1 and versions[0]["content"] == TEXT
+    assert (
+        client.get("/api/results/deliverables", params={"session_id": sid}).json()[0]
+        == saved.json()
+    )
+    assert client.patch(f"/api/results/deliverables/{draft['id']}", json=body).status_code == 409
+    assert store(client, pid, draft).status_code == 409
+    other = client.post("/api/projects", json={"title": "Other"}).json()["id"]
+    assert store(client, other, saved.json()).status_code == 409
+    body.update(revision=2, project_id=other)
+    assert client.patch(f"/api/results/deliverables/{draft['id']}", json=body).status_code == 409
+    assert client.get(f"/api/agent/sessions/{sid}").json()["task_status"] == "awaiting_confirm"
+
+
+def test_store_idempotency_confirm_restore_and_preserve_snapshot(client):
+    pid, sid, draft = setup(client)
+    url = f"/api/workbench/projects/{pid}/stages/script"
+    old = {"text": TEXT + "已确认的旧版。"}
+    assert client.patch(url, json={"content": old}).status_code == 200
+    snapshot = client.post(url + "/confirm", json={}).json()["stage"]["confirmed_content"]
+    res = store(client, pid, draft)
+    assert res.status_code == 200, res.text
+    stage = res.json()["stage"]
+    assert stage["status"] == "awaiting_confirm"
+    assert stage["confirmed_content"] == snapshot
+    assert stage["content"]["text"] == TEXT
+    assert len(stage["incoming_results"]) == 1
+    assert store(client, pid, draft).json()["already_attached"] is True
+    assert len(store(client, pid, draft).json()["stage"]["incoming_results"]) == 1
+    assert client.get(f"/api/agent/sessions/{sid}").json()["task_status"] == "returned"
+    assert client.post(url + "/restore", json={}).json()["stage"]["content"] == snapshot
+    # A newer source revision is a new explicit handoff, never an automatic update.
+    draft = client.patch(
+        f"/api/results/deliverables/{draft['id']}",
+        json={
+            "revision": 1,
+            "content": TEXT + "新版本。",
+            "project_id": pid,
+            "stage_key": "script",
+        },
+    ).json()
+    assert store(client, pid, draft).status_code == 200
+    confirmed = client.post(url + "/confirm", json={}).json()["stage"]["confirmed_content"]
+    assert confirmed["text"].endswith("新版本。")
+    assert len(confirmed["incoming_results"]) == 1
+    stages = client.get(f"/api/workbench/projects/{pid}").json()["stages"]
+    assert all(s["status"] == "todo" for s in stages if s["stage_key"] != "script")
+
+
+def test_capture_idempotency_and_no_error_artifact(client):
+    _, sid, _ = setup(client)
+    complete_task(sid, TEXT)
+    assert len(client.get("/api/results/deliverables", params={"session_id": sid}).json()) == 1
+    runner._persist_message(sid, role="assistant", content="error", status="error")
+    complete_task(sid, "error")
+    assert len(client.get("/api/results/deliverables", params={"session_id": sid}).json()) == 1
+
+
+def test_sandbox_assignment_and_running_stage(client):
+    pid, _, draft = setup(client)
+    conn = get_db(settings.db_path)
+    conn.execute("UPDATE project_stages SET status='running' WHERE project_id=?", (pid,))
+    conn.commit()
+    conn.close()
+    # Stage rows are created lazily; ensure they exist first.
+    client.get(f"/api/workbench/projects/{pid}")
+    conn = get_db(settings.db_path)
+    conn.execute("UPDATE project_stages SET status='running' WHERE project_id=?", (pid,))
+    conn.commit()
+    conn.close()
+    assert store(client, pid, draft).status_code == 409
+    assert client.get("/api/results/deliverables", params={"session_id": 99999}).json() == []
+
+
+def test_media_paths_scope_and_empty_errors(client):
+    pid, _, _ = setup(client)
+    other = client.post("/api/projects", json={"title": "other"}).json()["id"]
+    path = settings.assets_dir / "b4.txt"
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_text("isolated")
+    conn = get_db(settings.db_path)
+    job = conn.execute(
+        "INSERT INTO jobs(project_id,kind,status,output_paths_json) VALUES (?,'image','done',?)",
+        (pid, json.dumps([str(path)])),
+    ).lastrowid
+    conn.commit()
+    conn.close()
+    body = {"job_id": job, "project_id": other, "stage_key": "assets"}
+    assert client.post("/api/results/store", json=body).status_code == 409
+    body["project_id"] = pid
+    result = client.post("/api/results/store", json=body)
+    assert result.status_code == 200, result.text
+    assert result.json()["stage"]["incoming_results"][0]["paths"] == [str(path)]
+    assert client.post("/api/results/store", json=body).json()["already_attached"]
+    assert (
+        client.post(
+            "/api/results/store", json={"project_id": pid, "stage_key": "bogus", "job_id": job}
+        ).status_code
+        == 422
+    )
+    assert (
+        client.post(
+            "/api/results/store", json={"project_id": pid, "stage_key": "assets"}
+        ).status_code
+        == 422
+    )
+    path.unlink()
+    assert client.post("/api/results/store", json=body).status_code == 404
+
+
+def test_migration_twice_and_sqlite_backup_rollback(client, tmp_path):
+    pid, sid, draft = setup(client)
+    conn = sqlite3.connect(settings.db_path)
+    backup = sqlite3.connect(tmp_path / "before-b4.db")
+    conn.backup(backup)
+    backup.close()
+    conn.close()
+    asyncio.run(migrate_db(settings.db_path))
+    asyncio.run(migrate_db(settings.db_path))
+    assert client.get("/api/results/deliverables").json()[0]["content"] == draft["content"]
+    conn = get_db(settings.db_path)
+    # Old-code SQL continues reading the original schema and rows.
+    assert (
+        conn.execute(
+            "SELECT title,status,project_id FROM agent_sessions WHERE id=?", (sid,)
+        ).fetchone()["project_id"]
+        == pid
+    )
+    assert conn.execute("PRAGMA integrity_check").fetchone()[0] == "ok"
+    conn.close()

calliope-backend/tests/test_shell_tool.py

@@ -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):

calliope-backend/tests/test_skill_admin.py

@@ -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

calliope-backend/tests/test_studio_generation.py

@@ -25,9 +25,19 @@ PNG_1PX = bytes.fromhex(
 
 
 class _FakeComfyHandler(BaseHTTPRequestHandler):
-    """Minimal ComfyUI: /system_stats, /prompt, /history/{id}, /view, /upload/image."""
+    """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)
@@ -40,6 +50,9 @@ class _FakeComfyHandler(BaseHTTPRequestHandler):
                 },
             )
             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)
@@ -64,11 +77,17 @@ class _FakeComfyHandler(BaseHTTPRequestHandler):
             prompt_id = uuid.uuid4().hex
             outputs_key = self.server.outputs_key
             out_entry = {
-                outputs_key: [{"filename": self.server.out_name, "subfolder": "", "type": "output"}]
+                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": {"9": out_entry},
+                "outputs": outputs,
                 "prompt": [],
             }
             self.server.prompts.append(json.loads(body.decode("utf-8") or "{}"))
@@ -80,6 +99,19 @@ class _FakeComfyHandler(BaseHTTPRequestHandler):
             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)
@@ -109,6 +141,9 @@ def fake_comfy():
     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:

calliope-backend/tests/test_ui_convert.py

@@ -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"]
+    )

calliope-backend/tests/test_unknown_output_mapping.py

@@ -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"])

calliope-backend/tests/test_untagged_workflows.py

@@ -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"]

calliope-backend/tests/test_usage_classifier.py

@@ -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"])

calliope-backend/tests/test_video_continue.py

@@ -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"):

calliope-backend/tests/test_workbench.py

@@ -0,0 +1,454 @@
+"""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_assistant_notes_keep_confirmation_and_survive_artifact_edits(client):
+    pid = _make_project(client)
+    note_url = f"/api/workbench/projects/{pid}/stages/style/note"
+    r = client.patch(note_url, json={"text": "建议先比较冷暖两个方向。"})
+    assert r.status_code == 200
+    assert r.json()["stage"]["status"] == "todo"
+    assert r.json()["stage"]["assistant_note"] == "建议先比较冷暖两个方向。"
+    assert _confirm(client, pid, "style").status_code == 400
+    # An ordinary structured save must keep the separate advice.
+    r = client.patch(f"/api/workbench/projects/{pid}/stages/style", json={"content": json.loads(STYLE_REPLY)})
+    assert r.status_code == 200
+    assert r.json()["stage"]["assistant_note"] == "建议先比较冷暖两个方向。"
+    # Notes on confirmed content don't change its status or confirmed snapshot.
+    client.post(f"/api/workbench/projects/{pid}/stages/script/import", json={"text": SCRIPT_TEXT})
+    before = _stage(_overview(client, pid), "script")
+    r = client.patch(f"/api/workbench/projects/{pid}/stages/script/note", json={"text": "下一版建议加强人物动机。"})
+    assert r.status_code == 200
+    after = r.json()["stage"]
+    assert after["status"] == before["status"] == "confirmed"
+    assert after["confirmed_content"] == before["confirmed_content"]
+    assert after["draft_edited"] == before["draft_edited"]
+    assert _confirm(client, pid, "script").status_code == 200
+    confirmed = _stage(_overview(client, pid), "script")
+    assert "assistant_note" not in confirmed["confirmed_content"]
+    client.patch(f"/api/workbench/projects/{pid}/stages/script/note", json={"text": "保留确认后的新建议。"})
+    restored = client.post(f"/api/workbench/projects/{pid}/stages/script/restore").json()["stage"]
+    assert restored["assistant_note"] == "保留确认后的新建议。"
+    assert restored["confirmed_content"] == confirmed["confirmed_content"]
+    assert client.patch(note_url, json={"text": ""}).json()["stage"]["assistant_note"] == ""
+    assert client.patch(note_url, json={"text": "x" * 200_001}).status_code == 422
+    assert client.patch(f"/api/workbench/projects/{pid}/stages/unknown/note", json={"text": "x"}).status_code == 404
+
+
+# ─────────────────────────────────────────────────────────────────────────
+
+
+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

calliope-backend/tests/test_workflow_import_batch.py

@@ -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()

calliope-backend/tests/test_workflow_import_confirm.py

@@ -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"]

calliope-backend/tests/test_workflow_preflight.py

@@ -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

calliope-backend/tests/test_workflow_test.py

@@ -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

calliope-web/eslint.config.js

@@ -0,0 +1,49 @@
+import js from "@eslint/js";
+import globals from "globals";
+import tsParser from "@typescript-eslint/parser";
+import tsPlugin from "@typescript-eslint/eslint-plugin";
+import svelte from "eslint-plugin-svelte";
+
+export default [
+  // SvelteKit sync and adapter-static output; these are not source files.
+  { ignores: [".svelte-kit/**", "build/**"] },
+  js.configs.recommended,
+  ...svelte.configs["flat/recommended"],
+  // v3 removed these from recommended; retain the previous checks explicitly.
+  {
+    rules: {
+      "svelte/valid-compile": "error",
+      "svelte/no-dynamic-slot-name": "error",
+    },
+  },
+  {
+    files: ["**/*.{ts,svelte}"],
+    plugins: { "@typescript-eslint": tsPlugin },
+    rules: {
+      ...tsPlugin.configs["eslint-recommended"].overrides[0].rules,
+      ...tsPlugin.configs.recommended.rules,
+    },
+  },
+  {
+    files: ["**/*.ts"],
+    ignores: ["**/*.svelte.ts"],
+    languageOptions: { parser: tsParser },
+  },
+  {
+    files: ["**/*.svelte", "**/*.svelte.ts", "**/*.svelte.js"],
+    languageOptions: { parserOptions: { parser: tsParser } },
+    rules: {
+      "prefer-const": "off",
+      "svelte/prefer-const": "error",
+    },
+  },
+  {
+    files: ["src/**/*.{js,ts,svelte}"],
+    ignores: ["src/hooks.server.ts"],
+    languageOptions: { globals: globals.browser },
+  },
+  {
+    files: ["*.{js,ts}", "scripts/**/*.mjs", "src/hooks.server.ts"],
+    languageOptions: { globals: globals.node },
+  },
+];

calliope-web/package.json

@@ -1,39 +1,41 @@
 {
-	"name": "calliope-web",
-	"version": "1.5.8",
-	"private": true,
-	"scripts": {
-		"dev": "vite dev",
-		"build": "vite build",
-		"preview": "vite preview",
-		"check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
-		"test": "node scripts/check-storage-ssr.mjs && node scripts/check-random-uuid.mjs",
-		"lint": "prettier --check . && eslint .",
-		"format": "prettier --write ."
-	},
-	"devDependencies": {
-		"@sveltejs/adapter-static": "^3.0.8",
-		"@sveltejs/kit": "^2.70.3",
-		"@sveltejs/vite-plugin-svelte": "^5.0.0",
-		"@types/node": "^22.13.0",
-		"autoprefixer": "^10.4.20",
-		"eslint": "^9.20.0",
-		"eslint-plugin-svelte": "^2.46.0",
-		"postcss": "^8.5.0",
-		"prettier": "^3.5.0",
-		"prettier-plugin-svelte": "^3.3.0",
-		"svelte": "^5.20.0",
-		"svelte-check": "^4.1.0",
-		"tailwindcss": "^3.4.17",
-		"typescript": "^5.7.0",
-		"vite": "^6.1.0"
-	},
-	"dependencies": {
-		"@tanstack/svelte-query": "^5.66.0",
-		"@types/three": "0.185.0",
-		"@xyflow/svelte": "^1.6.5",
-		"mannequin-js": "5.2.3",
-		"three": "0.185.1"
-	},
-	"type": "module"
+  "name": "calliope-web",
+  "version": "1.5.8",
+  "private": true,
+  "scripts": {
+    "dev": "vite dev",
+    "build": "vite build",
+    "preview": "vite preview",
+    "check": "svelte-kit sync && svelte-check --tsconfig ./tsconfig.json",
+    "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 ."
+  },
+  "devDependencies": {
+    "@sveltejs/adapter-static": "^3.0.8",
+    "@sveltejs/kit": "^2.70.3",
+    "@sveltejs/vite-plugin-svelte": "^5.0.0",
+    "@types/node": "^22.13.0",
+    "@typescript-eslint/eslint-plugin": "8.46.2",
+    "@typescript-eslint/parser": "8.46.2",
+    "autoprefixer": "^10.4.20",
+    "eslint": "^9.20.0",
+    "eslint-plugin-svelte": "3.23.1",
+    "postcss": "^8.5.0",
+    "prettier": "^3.5.0",
+    "prettier-plugin-svelte": "^3.3.0",
+    "svelte": "^5.20.0",
+    "svelte-check": "^4.1.0",
+    "tailwindcss": "^3.4.17",
+    "typescript": "^5.7.0",
+    "vite": "^6.1.0"
+  },
+  "dependencies": {
+    "@tanstack/svelte-query": "^5.66.0",
+    "@types/three": "0.185.0",
+    "@xyflow/svelte": "^1.6.5",
+    "mannequin-js": "5.2.3",
+    "three": "0.185.1"
+  },
+  "type": "module"
 }

calliope-web/scripts/check-export-frame.mjs

@@ -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.");

calliope-web/scripts/check-skill-frontmatter.mjs

@@ -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 extracted skill editor uses the shared helper; no `\A` regex remains.
+const page = readFileSync(
+  join(ROOT, "src/lib/components/agent/LegacyAgentWorkspace.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.");

calliope-web/scripts/check-storage-ssr.mjs

@@ -16,51 +16,53 @@
  *
  * Run with `npm test` (or `node scripts/check-storage-ssr.mjs`).
  */
-import { readFileSync, readdirSync, statSync } from 'node:fs';
-import { dirname, join, relative } from 'node:path';
-import { fileURLToPath, pathToFileURL } from 'node:url';
+import { readFileSync, readdirSync, statSync } 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', 'storage.ts');
+const ROOT = join(HERE, "..");
+const SRC = join(ROOT, "src");
+const HELPER = join(SRC, "lib", "storage.ts");
 
 let failures = 0;
 
 function fail(message) {
-	failures += 1;
-	console.error(`FAIL  ${message}`);
+  failures += 1;
+  console.error(`FAIL  ${message}`);
 }
 
 function ok(message) {
-	console.log(`ok    ${message}`);
+  console.log(`ok    ${message}`);
 }
 
 /** Replace the global under test. Node's own binding may be getter-only. */
 function setGlobalStorage(value) {
-	Object.defineProperty(globalThis, 'localStorage', {
-		value,
-		configurable: true,
-		writable: true,
-	});
+  Object.defineProperty(globalThis, "localStorage", {
+    value,
+    configurable: true,
+    writable: true,
+  });
 }
 
 /** A Storage that behaves like a browser's. */
 function fakeStorage(initial = {}) {
-	const map = new Map(Object.entries(initial));
-	return {
-		getItem: (k) => (map.has(k) ? map.get(k) : null),
-		setItem: (k, v) => void map.set(k, String(v)),
-		removeItem: (k) => void map.delete(k),
-		clear: () => map.clear(),
-		key: (i) => [...map.keys()][i] ?? null,
-		get length() {
-			return map.size;
-		},
-	};
+  const map = new Map(Object.entries(initial));
+  return {
+    getItem: (k) => (map.has(k) ? map.get(k) : null),
+    setItem: (k, v) => void map.set(k, String(v)),
+    removeItem: (k) => void map.delete(k),
+    clear: () => map.clear(),
+    key: (i) => [...map.keys()][i] ?? null,
+    get length() {
+      return map.size;
+    },
+  };
 }
 
-const { storageGet, storageSet, storageRemove } = await import(pathToFileURL(HELPER).href);
+const { storageGet, storageSet, storageRemove } = await import(
+  pathToFileURL(HELPER).href
+);
 
 // ---- 1. behavioural ----------------------------------------------------
 
@@ -68,124 +70,133 @@ const { storageGet, storageSet, storageRemove } = await import(pathToFileURL(HEL
 // This is the configuration that produced the original crash.
 setGlobalStorage({});
 try {
-	if (storageGet('calliope-lang') !== null) fail('method-less localStorage: expected null');
-	else if (storageSet('calliope-lang', 'ja') !== undefined) fail('method-less localStorage: setItem should no-op');
-	else {
-		storageRemove('calliope-lang');
-		ok('method-less localStorage (Node SSR shape) degrades to null without throwing');
-	}
+  if (storageGet("calliope-lang") !== null)
+    fail("method-less localStorage: expected null");
+  else if (storageSet("calliope-lang", "ja") !== undefined)
+    fail("method-less localStorage: setItem should no-op");
+  else {
+    storageRemove("calliope-lang");
+    ok(
+      "method-less localStorage (Node SSR shape) degrades to null without throwing",
+    );
+  }
 } catch (err) {
-	fail(`method-less localStorage threw: ${err.message}`);
+  fail(`method-less localStorage threw: ${err.message}`);
 }
 
 // Absent entirely (the common server case).
 setGlobalStorage(undefined);
 try {
-	if (storageGet('k') !== null) fail('undefined localStorage: expected null');
-	else ok('absent localStorage degrades to null');
+  if (storageGet("k") !== null) fail("undefined localStorage: expected null");
+  else ok("absent localStorage degrades to null");
 } catch (err) {
-	fail(`undefined localStorage threw: ${err.message}`);
+  fail(`undefined localStorage threw: ${err.message}`);
 }
 
 // Access itself can throw (sandboxed frame / blocked third-party storage).
 setGlobalStorage(
-	new Proxy(
-		{},
-		{
-			get() {
-				throw new Error('SecurityError');
-			},
-		},
-	),
+  new Proxy(
+    {},
+    {
+      get() {
+        throw new Error("SecurityError");
+      },
+    },
+  ),
 );
 try {
-	if (storageGet('k') !== null) fail('throwing localStorage: expected null');
-	else ok('throwing localStorage access degrades to null');
+  if (storageGet("k") !== null) fail("throwing localStorage: expected null");
+  else ok("throwing localStorage access degrades to null");
 } catch (err) {
-	fail(`throwing localStorage access threw: ${err.message}`);
+  fail(`throwing localStorage access threw: ${err.message}`);
 }
 
 // Quota / private-mode errors on write must not escape.
 setGlobalStorage({
-	getItem: () => null,
-	setItem: () => {
-		throw new Error('QuotaExceededError');
-	},
-	removeItem: () => {},
+  getItem: () => null,
+  setItem: () => {
+    throw new Error("QuotaExceededError");
+  },
+  removeItem: () => {},
 });
 try {
-	storageSet('k', 'v');
-	ok('setItem failure is swallowed');
+  storageSet("k", "v");
+  ok("setItem failure is swallowed");
 } catch (err) {
-	fail(`setItem failure escaped: ${err.message}`);
+  fail(`setItem failure escaped: ${err.message}`);
 }
 
 // A real browser Storage must still work — guards against a helper that just
 // returns null unconditionally to satisfy the checks above.
 setGlobalStorage(fakeStorage());
 try {
-	storageSet('calliope-lang', 'ko');
-	const read = storageGet('calliope-lang');
-	if (read !== 'ko') fail(`working storage round-trip: expected "ko", got ${JSON.stringify(read)}`);
-	else {
-		storageRemove('calliope-lang');
-		if (storageGet('calliope-lang') !== null) fail('working storage remove: expected null');
-		else ok('working storage round-trips and removes');
-	}
+  storageSet("calliope-lang", "ko");
+  const read = storageGet("calliope-lang");
+  if (read !== "ko")
+    fail(
+      `working storage round-trip: expected "ko", got ${JSON.stringify(read)}`,
+    );
+  else {
+    storageRemove("calliope-lang");
+    if (storageGet("calliope-lang") !== null)
+      fail("working storage remove: expected null");
+    else ok("working storage round-trips and removes");
+  }
 } catch (err) {
-	fail(`working storage threw: ${err.message}`);
+  fail(`working storage threw: ${err.message}`);
 }
 
 // ---- 2. static ---------------------------------------------------------
 
 const UNSAFE = /typeof\s+localStorage/;
-const EXTENSIONS = ['.ts', '.js', '.svelte'];
+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 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;
 }
 
 function exists(p) {
-	try {
-		return statSync(p).isFile();
-	} catch {
-		return false;
-	}
+  try {
+    return statSync(p).isFile();
+  } catch {
+    return false;
+  }
 }
 
 const offenders = [];
 for (const file of walk(SRC)) {
-	if (file === HELPER) continue; // the one place allowed to probe the global
-	const lines = readFileSync(file, 'utf8').split('\n');
-	lines.forEach((line, i) => {
-		if (UNSAFE.test(line)) offenders.push(`${relative(ROOT, file)}:${i + 1}: ${line.trim()}`);
-	});
+  if (file === HELPER) continue; // the one place allowed to probe the global
+  const lines = readFileSync(file, "utf8").split("\n");
+  lines.forEach((line, i) => {
+    if (UNSAFE.test(line))
+      offenders.push(`${relative(ROOT, file)}:${i + 1}: ${line.trim()}`);
+  });
 }
 
 if (offenders.length) {
-	fail(
-		`unsafe \`typeof localStorage\` guard outside lib/storage.ts — use storageGet/storageSet instead:\n  ${offenders.join('\n  ')}`,
-	);
+  fail(
+    `unsafe \`typeof localStorage\` guard outside lib/storage.ts — use storageGet/storageSet instead:\n  ${offenders.join("\n  ")}`,
+  );
 } else {
-	ok('no unsafe `typeof localStorage` guards in src/');
+  ok("no unsafe `typeof localStorage` guards in src/");
 }
 
-if (!exists(HELPER)) fail('src/lib/storage.ts is missing');
+if (!exists(HELPER)) fail("src/lib/storage.ts is missing");
 
 // ---- result ------------------------------------------------------------
 
 if (failures) {
-	console.error(`\n${failures} storage/SSR check(s) failed.`);
-	process.exit(1);
+  console.error(`\n${failures} storage/SSR check(s) failed.`);
+  process.exit(1);
 }
-console.log('\nstorage SSR checks passed.');
+console.log("\nstorage SSR checks passed.");

calliope-web/src/app.html

@@ -1,19 +1,30 @@
-<!DOCTYPE html>
-<html lang="en">
-	<head>
-		<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>
-		<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&family=Noto+Sans+SC:wght@400;500;600&display=swap"
-			rel="stylesheet"
-		/>
-		%sveltekit.head%
-	</head>
-	<body data-sveltekit-preload-data="hover">
-		<div style="display: contents">%sveltekit.body%</div>
-	</body>
+<!doctype html>
+<html lang="zh-CN">
+  <head>
+    <meta charset="utf-8" />
+    <script>
+      (function () {
+        var saved;
+        try {
+          saved = localStorage.getItem("aigc-theme");
+        } catch (_) {}
+        document.documentElement.dataset.theme =
+          /^(night|day|grade|bluehour)$/.test(saved || "") ? saved : "night";
+      })();
+    </script>
+    <link rel="stylesheet" href="%sveltekit.assets%/themes.css" />
+    <link rel="icon" href="%sveltekit.assets%/favicon.png" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <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&family=Noto+Sans+SC:wght@400;500;600&display=swap"
+      rel="stylesheet"
+    />
+    %sveltekit.head%
+  </head>
+  <body data-sveltekit-preload-data="hover">
+    <div style="display: contents">%sveltekit.body%</div>
+  </body>
 </html>

calliope-web/src/hooks.client.ts

@@ -1,9 +1,9 @@
-import type { HandleClientError } from '@sveltejs/kit';
-import { t } from '$lib/i18n.svelte';
+import type { HandleClientError } from "@sveltejs/kit";
+import { t } from "$lib/i18n.svelte";
 
 export const handleError: HandleClientError = ({ error }) => {
-	console.error(error);
-	return {
-		message: t('global.somethingWentWrong'),
-	};
+  console.error(error);
+  return {
+    message: t("global.somethingWentWrong"),
+  };
 };

calliope-web/src/hooks.server.ts

@@ -1,4 +1,4 @@
 export async function handle({ event, resolve }) {
-	const response = await resolve(event);
-	return response;
+  const response = await resolve(event);
+  return response;
 }

calliope-web/src/lib/actions/spotlight.ts

@@ -0,0 +1,17 @@
+import type { Action } from "svelte/action";
+
+/** A local honeycomb highlight follows the pointer, independent of selected state. */
+export const spotlight: Action<HTMLElement> = (node) => {
+  const move = (event: PointerEvent) => {
+    if (
+      document.documentElement.dataset.reduce === "1" ||
+      event.pointerType === "touch"
+    )
+      return;
+    const rect = node.getBoundingClientRect();
+    node.style.setProperty("--pointer-x", `${event.clientX - rect.left}px`);
+    node.style.setProperty("--pointer-y", `${event.clientY - rect.top}px`);
+  };
+  node.addEventListener("pointermove", move);
+  return { destroy: () => node.removeEventListener("pointermove", move) };
+};

calliope-web/src/lib/agentComposer.ts

@@ -2,50 +2,50 @@
  * Shared types and helpers for the Agent composer (@workflow mentions + attachments).
  */
 
-export type WorkflowKind = 'image' | 'video';
-export type AttachmentKind = 'image' | 'video' | 'audio' | 'document';
+export type WorkflowKind = "image" | "video";
+export type AttachmentKind = "image" | "video" | "audio" | "document";
 
 export interface WorkflowMention {
-	type: 'workflow';
-	id: number;
-	name: string;
-	kind: WorkflowKind;
+  type: "workflow";
+  id: number;
+  name: string;
+  kind: WorkflowKind;
 }
 
 export interface AgentAttachment {
-	path: string;
-	name: string;
-	kind: AttachmentKind;
+  path: string;
+  name: string;
+  kind: AttachmentKind;
 }
 
 export interface AgentComposerPayload {
-	content: string;
-	mentions: (WorkflowMention | SkillMention)[];
-	attachments: AgentAttachment[];
-	/** question/asked seq this message answers (question-card click). */
-	answer_to?: number;
+  content: string;
+  mentions: (WorkflowMention | SkillMention)[];
+  attachments: AgentAttachment[];
+  /** question/asked seq this message answers (question-card click). */
+  answer_to?: number;
 }
 
 export interface WorkflowOption {
-	id: number;
-	name: string;
-	kind: WorkflowKind;
-	description?: string | null;
-	is_enabled?: boolean;
+  id: number;
+  name: string;
+  kind: WorkflowKind;
+  description?: string | null;
+  is_enabled?: boolean;
 }
 
 export interface SkillOption {
-	name: string;
-	description: string;
-	tags: string[];
+  name: string;
+  description: string;
+  tags: string[];
 }
 
 /** A `/skill` command inserted as a chip. Serialized into the message's
  * mentions payload so the backend can project it into the LLM context. */
 export interface SkillMention {
-	type: 'skill';
-	name: string;
-	description: string;
+  type: "skill";
+  name: string;
+  description: string;
 }
 
 export const MAX_WORKFLOW_MENTIONS = 1;
@@ -53,27 +53,36 @@ export const MAX_WORKFLOW_MENTIONS = 1;
 export const MENTION_LIMIT = 12;
 
 /** Case-insensitive name filter of enabled workflows, capped for the typeahead. */
-export function filterWorkflows(workflows: WorkflowOption[], query: string): WorkflowOption[] {
-	const q = query.trim().toLowerCase();
-	const enabled = workflows.filter((w) => w.is_enabled !== false);
-	const matched = q
-		? enabled.filter((w) => w.name.toLowerCase().includes(q))
-		: enabled;
-	return matched.slice(0, MENTION_LIMIT);
+export function filterWorkflows(
+  workflows: WorkflowOption[],
+  query: string,
+): WorkflowOption[] {
+  const q = query.trim().toLowerCase();
+  const enabled = workflows.filter((w) => w.is_enabled !== false);
+  const matched = q
+    ? enabled.filter((w) => w.name.toLowerCase().includes(q))
+    : enabled;
+  return matched.slice(0, MENTION_LIMIT);
 }
 
 /** Case-insensitive filter of skills for the `/` typeahead (name + description). */
-export function filterSkills(skills: SkillOption[], query: string): SkillOption[] {
-	const q = query.trim().toLowerCase();
-	const matched = q
-		? skills.filter(
-				(s) =>
-					s.name.toLowerCase().includes(q) || s.description.toLowerCase().includes(q),
-			)
-		: skills;
-	return matched.slice(0, MENTION_LIMIT);
+export function filterSkills(
+  skills: SkillOption[],
+  query: string,
+): SkillOption[] {
+  const q = query.trim().toLowerCase();
+  const matched = q
+    ? skills.filter(
+        (s) =>
+          s.name.toLowerCase().includes(q) ||
+          s.description.toLowerCase().includes(q),
+      )
+    : skills;
+  return matched.slice(0, MENTION_LIMIT);
 }
 
 export function payloadIsEmpty(p: AgentComposerPayload): boolean {
-	return !p.content.trim() && p.mentions.length === 0 && p.attachments.length === 0;
+  return (
+    !p.content.trim() && p.mentions.length === 0 && p.attachments.length === 0
+  );
 }

calliope-web/src/lib/agentTasks.ts

@@ -7,28 +7,30 @@
  * buttons stay dumb and the wording never drifts out of sync.
  */
 
-export type AgentTaskKind = 'story' | 'script';
+export type AgentTaskKind = "story" | "script";
 
 /** The pre-filled composer prompt for each task. */
 export const AGENT_TASK_PROMPTS: Record<AgentTaskKind, string> = {
-	story:
-		'Draft the storyline for this project — generate the beats, characters, environments, and any misc. items from the story idea.',
-	script:
-		'Regenerate the full script for this project — turn the storyline into ordered scenes with action and dialogue.',
+  story:
+    "Draft the storyline for this project — generate the beats, characters, environments, and any misc. items from the story idea.",
+  script:
+    "Regenerate the full script for this project — turn the storyline into ordered scenes with action and dialogue.",
 };
 
 /** i18n key for the auto-created session's sidebar title. */
 export const AGENT_TASK_TITLE_KEYS: Record<AgentTaskKind, string> = {
-	story: 'agent.task.story',
-	script: 'agent.task.script',
+  story: "agent.task.story",
+  script: "agent.task.script",
 };
 
-export function isAgentTaskKind(value: string | null | undefined): value is AgentTaskKind {
-	return value === 'story' || value === 'script';
+export function isAgentTaskKind(
+  value: string | null | undefined,
+): value is AgentTaskKind {
+  return value === "story" || value === "script";
 }
 
 /** Build the /agents deep-link URL for a project-scoped task. */
 export function agentDeepLink(projectId: number, task: AgentTaskKind): string {
-	const params = new URLSearchParams({ project: String(projectId), task });
-	return `/agents?${params.toString()}`;
+  const params = new URLSearchParams({ project: String(projectId), task });
+  return `/agents?${params.toString()}`;
 }

calliope-web/src/lib/assetPicker.ts

@@ -1,50 +1,60 @@
 /** Shared shape for Omni / video ref pickers. */
-export type AssetGroup = 'character' | 'location' | 'item' | 'upload' | 'clip' | 'shot';
+export type AssetGroup =
+  "character" | "location" | "item" | "upload" | "clip" | "shot";
 
 export interface AssetOption {
-	label: string;
-	path: string;
-	kind?: 'image' | 'video' | 'audio';
-	group?: AssetGroup;
+  label: string;
+  path: string;
+  kind?: "image" | "video" | "audio";
+  group?: AssetGroup;
 }
 
 const GROUP_FROM_SUFFIX: Array<{ re: RegExp; group: AssetGroup }> = [
-	{ re: /\s·\s*sheet$/i, group: 'character' },
-	{ re: /\s·\s*environment$/i, group: 'location' },
-	{ re: /\s·\s*item$/i, group: 'item' },
-	{ re: /\s·\s*upload$/i, group: 'upload' },
-	{ re: /\s·\s*blockout(\s+clip)?$/i, group: 'shot' },
-	{ re: /^clip\s*#/i, group: 'clip' },
+  { re: /\s·\s*sheet$/i, group: "character" },
+  { re: /\s·\s*environment$/i, group: "location" },
+  { re: /\s·\s*item$/i, group: "item" },
+  { re: /\s·\s*upload$/i, group: "upload" },
+  { re: /\s·\s*blockout(\s+clip)?$/i, group: "shot" },
+  { re: /^clip\s*#/i, group: "clip" },
 ];
 
 export function assetGroup(opt: AssetOption): AssetGroup {
-	if (opt.group) return opt.group;
-	for (const { re, group } of GROUP_FROM_SUFFIX) {
-		if (re.test(opt.label)) return group;
-	}
-	return 'upload';
+  if (opt.group) return opt.group;
+  for (const { re, group } of GROUP_FROM_SUFFIX) {
+    if (re.test(opt.label)) return group;
+  }
+  return "upload";
 }
 
 /** Strip the " · sheet" style suffix so the tab already names the type. */
 export function assetDisplayName(opt: AssetOption): string {
-	return opt.label.replace(/\s·\s*(sheet|environment|item|upload|blockout(\s+clip)?)\s*$/i, '').trim() || opt.label;
+  return (
+    opt.label
+      .replace(
+        /\s·\s*(sheet|environment|item|upload|blockout(\s+clip)?)\s*$/i,
+        "",
+      )
+      .trim() || opt.label
+  );
 }
 
 export const ASSET_GROUP_TABS: Array<{ id: AssetGroup; label: string }> = [
-	{ id: 'character', label: 'Characters' },
-	{ id: 'location', label: 'Environments' },
-	{ id: 'item', label: 'Misc. Items' },
-	{ id: 'shot', label: 'From Build Scene' },
-	{ id: 'clip', label: 'Clips' },
-	{ id: 'upload', label: 'Uploads' },
+  { id: "character", label: "Characters" },
+  { id: "location", label: "Environments" },
+  { id: "item", label: "Misc. Items" },
+  { id: "shot", label: "From Build Scene" },
+  { id: "clip", label: "Clips" },
+  { id: "upload", label: "Uploads" },
 ];
 
-export function tabsForMediaKind(kind: string | undefined): Array<{ id: AssetGroup; label: string }> {
-	const ids: AssetGroup[] =
-		kind === 'video'
-			? ['clip', 'upload']
-			: kind === 'audio'
-				? ['upload']
-				: ['character', 'location', 'item', 'shot', 'upload'];
-	return ASSET_GROUP_TABS.filter((t) => ids.includes(t.id));
+export function tabsForMediaKind(
+  kind: string | undefined,
+): Array<{ id: AssetGroup; label: string }> {
+  const ids: AssetGroup[] =
+    kind === "video"
+      ? ["clip", "upload"]
+      : kind === "audio"
+        ? ["upload"]
+        : ["character", "location", "item", "shot", "upload"];
+  return ASSET_GROUP_TABS.filter((t) => ids.includes(t.id));
 }

calliope-web/src/lib/canvas/ArtifactNode.svelte

@@ -47,14 +47,12 @@
 	</header>
 	<div class="media">
 		{#if videoSrc}
-			<!-- svelte-ignore a11y_click_events_have_key_events, a11y_no_static_element_interactions -->
 			<button
 				type="button"
 				class="media-btn"
 				onclick={openPreview}
 				title={t('canvas.openPreview')}
 			>
-				<!-- svelte-ignore a11y_media_has_caption -->
 				<video
 					class="media-el"
 					src={videoSrc}
@@ -64,7 +62,6 @@
 				></video>
 			</button>
 		{:else if mediaSrc}
-			<!-- svelte-ignore a11y_click_events_have_key_events, a11y_no_static_element_interactions -->
 			<button
 				type="button"
 				class="media-btn"
@@ -98,8 +95,8 @@
 		position: relative;
 	}
 	.artifact-node.running {
-		border-color: rgba(125, 211, 252, 0.6);
-		box-shadow: 0 0 18px rgba(125, 211, 252, 0.25);
+		border-color: var(--run);
+		box-shadow: 0 0 18px var(--run-soft);
 	}
 	:global(.svelte-flow__node.selected) .artifact-node {
 		border-color: var(--accent);
@@ -117,9 +114,9 @@
 		font-size: 9px;
 		letter-spacing: 0.06em;
 		text-transform: uppercase;
-		color: #bae6fd;
-		background: rgba(12, 74, 110, 0.55);
-		border: 1px solid rgba(125, 211, 252, 0.35);
+		color: var(--text-2);
+		background: var(--bg-4);
+		border: 1px solid var(--line-2);
 		border-radius: 999px;
 		padding: 2px 6px;
 		flex-shrink: 0;
@@ -141,12 +138,12 @@
 		flex-shrink: 0;
 	}
 	.running-badge {
-		color: #bae6fd;
-		background: rgba(12, 74, 110, 0.6);
+		color: var(--run);
+		background: var(--run-soft);
 	}
 	.failed-badge {
-		color: #fecaca;
-		background: rgba(127, 29, 29, 0.5);
+		color: var(--err);
+		background: var(--err-soft);
 	}
 	.play-badge {
 		font-size: 9px;
@@ -205,9 +202,9 @@
 		font-weight: 600;
 		letter-spacing: 0.04em;
 		text-transform: lowercase;
-		color: var(--text-muted);
+		color: var(--on-media);
 		pointer-events: none;
-		background: rgba(0, 0, 0, 0.55);
+		background: var(--media-scrim);
 		padding: 1px 5px;
 		border-radius: 999px;
 	}

calliope-web/src/lib/canvas/EntityNode.svelte

@@ -76,7 +76,6 @@
 			<SafeMedia class="media-el" src={posterSrc} alt={data.title} kind="image" controls={false} />
 		{:else if videoSrc}
 			<!-- No poster available: #t=0.1 first-frame thumbnail. -->
-			<!-- svelte-ignore a11y_media_has_caption -->
 			<video
 				class="media-el"
 				src={videoSrc}
@@ -108,7 +107,7 @@
 	transition: border-color 0.15s;
 }
 	.entity-node:hover {
-		border-color: #3a3a44;
+		border-color: var(--line-2);
 	}
 	/* Svelte Flow marks the selected node wrapper with .selected */
 	:global(.svelte-flow__node.selected) .entity-node {
@@ -176,9 +175,9 @@
 		font-weight: 600;
 		letter-spacing: 0.04em;
 		text-transform: lowercase;
-		color: var(--text-muted);
+		color: var(--on-media);
 		pointer-events: none;
-		background: rgba(0, 0, 0, 0.55);
+		background: var(--media-scrim);
 		padding: 1px 5px;
 		border-radius: 999px;
 	}

calliope-web/src/lib/canvas/tokens.css

@@ -1,13 +0,0 @@
-/* Canvas v2.1 scoped visual tokens (spec v2.0 §2) — canvas surfaces only.
-   The global --accent stays untouched for v1 pages. */
-.canvas-root {
-	--accent: #4f46a5;
-	--accent-hover: #6157c9;
-	--accent-glow: rgba(99, 102, 241, 0.3);
-	--edge: #7dd3fc;
-	/* Edge-chip surfaces (LinkEdge label) — fallbacks match the dark theme. */
-	--panel: #17171f;
-	--panel-border: #2a2a35;
-	--fg: #f4f4f5;
-	--fg-dim: #a1a1aa;
-}

calliope-web/src/lib/comfy/classifyInput.ts

@@ -12,24 +12,25 @@
  *   control   → compact pills (resolution, duration, seed)
  *   advanced  → hidden inside an "Advanced" popover
  */
-import type { ComfyDynamicInput } from './types';
-import { normalizeInputRole } from './parser';
+import type { ComfyDynamicInput } from "./types";
+import { normalizeInputRole } from "./parser";
 
-export type InputZone = 'composer' | 'media' | 'control' | 'advanced' | 'hidden';
+export type InputZone =
+  "composer" | "media" | "control" | "advanced" | "hidden";
 
 export type OmniWidget =
-	| 'promptTextarea'
-	| 'negativeTextarea'
-	| 'uploadTile'
-	| 'assetTile'
-	| 'resolutionPill'
-	| 'numberPill'
-	| 'textPill';
+  | "promptTextarea"
+  | "negativeTextarea"
+  | "uploadTile"
+  | "assetTile"
+  | "resolutionPill"
+  | "numberPill"
+  | "textPill";
 
 export interface ClassifiedInput {
-	input: ComfyDynamicInput;
-	zone: InputZone;
-	widget: OmniWidget;
+  input: ComfyDynamicInput;
+  zone: InputZone;
+  widget: OmniWidget;
 }
 
 /**
@@ -39,49 +40,49 @@ export interface ClassifiedInput {
  * zone. Unknown roles fall to `advanced` so no field is ever hidden or lost.
  */
 export function classifyInput(inp: ComfyDynamicInput): ClassifiedInput {
-	const role = normalizeInputRole(inp.role);
+  const role = normalizeInputRole(inp.role);
 
-	// --- Composer ---
-	if (role === 'prompt' || role === 'positive') {
-		return { input: inp, zone: 'composer', widget: 'promptTextarea' };
-	}
-	if (role === 'negative') {
-		return { input: inp, zone: 'composer', widget: 'negativeTextarea' };
-	}
+  // --- Composer ---
+  if (role === "prompt" || role === "positive") {
+    return { input: inp, zone: "composer", widget: "promptTextarea" };
+  }
+  if (role === "negative") {
+    return { input: inp, zone: "composer", widget: "negativeTextarea" };
+  }
 
-	// --- Media tray ---
-	if (
-		role === 'character' ||
-		role === 'location' ||
-		role === 'image' ||
-		role === 'video' ||
-		role === 'audio'
-	) {
-		const isMediaKind =
-			inp.kind === 'image' ||
-			inp.kind === 'image_url' ||
-			inp.kind === 'audio' ||
-			inp.kind === 'video';
-		return {
-			input: inp,
-			zone: 'media',
-			widget: isMediaKind ? 'uploadTile' : 'assetTile',
-		};
-	}
+  // --- Media tray ---
+  if (
+    role === "character" ||
+    role === "location" ||
+    role === "image" ||
+    role === "video" ||
+    role === "audio"
+  ) {
+    const isMediaKind =
+      inp.kind === "image" ||
+      inp.kind === "image_url" ||
+      inp.kind === "audio" ||
+      inp.kind === "video";
+    return {
+      input: inp,
+      zone: "media",
+      widget: isMediaKind ? "uploadTile" : "assetTile",
+    };
+  }
 
-	// --- Control bar ---
-	if (role === 'width' || role === 'height') {
-		return { input: inp, zone: 'control', widget: 'resolutionPill' };
-	}
-	if (role === 'duration' || role === 'seed') {
-		return { input: inp, zone: 'control', widget: 'numberPill' };
-	}
+  // --- Control bar ---
+  if (role === "width" || role === "height") {
+    return { input: inp, zone: "control", widget: "resolutionPill" };
+  }
+  if (role === "duration" || role === "seed") {
+    return { input: inp, zone: "control", widget: "numberPill" };
+  }
 
-	// --- Advanced popover ---
-	if (inp.kind === 'number') {
-		return { input: inp, zone: 'advanced', widget: 'numberPill' };
-	}
-	return { input: inp, zone: 'advanced', widget: 'textPill' };
+  // --- Advanced popover ---
+  if (inp.kind === "number") {
+    return { input: inp, zone: "advanced", widget: "numberPill" };
+  }
+  return { input: inp, zone: "advanced", widget: "textPill" };
 }
 
 /**
@@ -92,57 +93,62 @@ export function classifyInput(inp: ComfyDynamicInput): ClassifiedInput {
  * nodeIds on change.
  */
 export function classifyAll(inputs: ComfyDynamicInput[]): {
-	prompt: ClassifiedInput | null;
-	negative: ClassifiedInput | null;
-	media: ClassifiedInput[];
-	control: ClassifiedInput[];
-	advanced: ClassifiedInput[];
-	/** Non-null when both width AND height are present → merge into one pill. */
-	resolutionPair: { width: ClassifiedInput; height: ClassifiedInput } | null;
+  prompt: ClassifiedInput | null;
+  negative: ClassifiedInput | null;
+  media: ClassifiedInput[];
+  control: ClassifiedInput[];
+  advanced: ClassifiedInput[];
+  /** Non-null when both width AND height are present → merge into one pill. */
+  resolutionPair: { width: ClassifiedInput; height: ClassifiedInput } | null;
 } {
-	const classified = inputs.map(classifyInput);
+  const classified = inputs.map(classifyInput);
 
-	const prompt = classified.find((c) => c.widget === 'promptTextarea') ?? null;
-	const negative = classified.find((c) => c.widget === 'negativeTextarea') ?? null;
-	const media = classified.filter((c) => c.zone === 'media');
-	const advanced = classified.filter((c) => c.zone === 'advanced');
+  const prompt = classified.find((c) => c.widget === "promptTextarea") ?? null;
+  const negative =
+    classified.find((c) => c.widget === "negativeTextarea") ?? null;
+  const media = classified.filter((c) => c.zone === "media");
+  const advanced = classified.filter((c) => c.zone === "advanced");
 
-	// Separate resolution from other control inputs
-	const controlNonRes = classified.filter(
-		(c) => c.zone === 'control' && c.widget !== 'resolutionPill',
-	);
-	const resInputs = classified.filter((c) => c.widget === 'resolutionPill');
+  // Separate resolution from other control inputs
+  const controlNonRes = classified.filter(
+    (c) => c.zone === "control" && c.widget !== "resolutionPill",
+  );
+  const resInputs = classified.filter((c) => c.widget === "resolutionPill");
 
-	// Detect width + height pair
-	const wInput = resInputs.find((c) => normalizeInputRole(c.input.role) === 'width');
-	const hInput = resInputs.find((c) => normalizeInputRole(c.input.role) === 'height');
-	const resolutionPair =
-		wInput && hInput ? { width: wInput, height: hInput } : null;
+  // Detect width + height pair
+  const wInput = resInputs.find(
+    (c) => normalizeInputRole(c.input.role) === "width",
+  );
+  const hInput = resInputs.find(
+    (c) => normalizeInputRole(c.input.role) === "height",
+  );
+  const resolutionPair =
+    wInput && hInput ? { width: wInput, height: hInput } : null;
 
-	// If only one of width/height exists, treat it as a standalone control number pill
-	const standaloneRes = resolutionPair ? [] : resInputs;
+  // If only one of width/height exists, treat it as a standalone control number pill
+  const standaloneRes = resolutionPair ? [] : resInputs;
 
-	return {
-		prompt,
-		negative,
-		media,
-		control: [...controlNonRes, ...standaloneRes],
-		advanced,
-		resolutionPair,
-	};
+  return {
+    prompt,
+    negative,
+    media,
+    control: [...controlNonRes, ...standaloneRes],
+    advanced,
+    resolutionPair,
+  };
 }
 
 // ── Resolution presets ────────────────────────────────────────────────────────
 
 export interface ResolutionPreset {
-	label: string;
-	width: number;
-	height: number;
+  label: string;
+  width: number;
+  height: number;
 }
 
 export const RESOLUTION_PRESETS: ResolutionPreset[] = [
-	{ label: '720p', width: 1280, height: 720 },
-	{ label: '1080p', width: 1920, height: 1080 },
+  { label: "720p", width: 1280, height: 720 },
+  { label: "1080p", width: 1920, height: 1080 },
 ];
 
 /**
@@ -150,12 +156,12 @@ export const RESOLUTION_PRESETS: ResolutionPreset[] = [
  * (or return null for custom / unset values).
  */
 export function resolutionLabel(
-	width: number | string | undefined,
-	height: number | string | undefined,
+  width: number | string | undefined,
+  height: number | string | undefined,
 ): string | null {
-	const w = Number(width);
-	const h = Number(height);
-	if (!w || !h) return null;
-	const match = RESOLUTION_PRESETS.find((p) => p.width === w && p.height === h);
-	return match?.label ?? `${w}×${h}`;
+  const w = Number(width);
+  const h = Number(height);
+  if (!w || !h) return null;
+  const match = RESOLUTION_PRESETS.find((p) => p.width === w && p.height === h);
+  return match?.label ?? `${w}×${h}`;
 }

calliope-web/src/lib/comfy/imageFile.ts

@@ -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;
+}

calliope-web/src/lib/comfy/parser.ts

@@ -1,142 +1,192 @@
-import type { ComfyDynamicInput, ComfyDynamicOutput, WorkflowNode } from './types';
+import type {
+  ComfyDynamicInput,
+  ComfyDynamicOutput,
+  WorkflowNode,
+} from "./types";
 
 const TEXT_AREA = new Set([
-	'CLIPTextEncode',
-	'Note',
-	'ShowText',
-	'ImpactWildcardProcessor',
-	'PrimitiveStringMultiline',
-	'PrimitiveString',
+  "CLIPTextEncode",
+  "Note",
+  "ShowText",
+  "ImpactWildcardProcessor",
+  "PrimitiveStringMultiline",
+  "PrimitiveString",
+]);
+const NUMBER = new Set([
+  "INT",
+  "FLOAT",
+  "PrimitiveInt",
+  "PrimitiveFloat",
+  "KSampler",
+  "KSamplerAdvanced",
+]);
+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"]);
+const VIDEO_OUT = new Set([
+  "VHS_VideoCombine",
+  "SaveVideo",
+  "VideoOutput",
+  "AnimateDiffCombine",
+]);
+const IMAGE_OUT = new Set([
+  "SaveImage",
+  "PreviewImage",
+  "SaveImageWebsocket",
+  "ETN_SendImageWebSocket",
 ]);
-const NUMBER = new Set(['INT', 'FLOAT', 'PrimitiveInt', 'PrimitiveFloat', 'KSampler', 'KSamplerAdvanced']);
-const IMAGE = new Set(['LoadImage', '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']);
-const VIDEO_OUT = new Set(['VHS_VideoCombine', 'SaveVideo', 'VideoOutput', 'AnimateDiffCombine']);
-const IMAGE_OUT = new Set(['SaveImage', 'PreviewImage', 'SaveImageWebsocket', 'ETN_SendImageWebSocket']);
 
 /** Matches (Input), (Input:prompt), (Output:image), … */
 const TITLE_TAG_RE = /\((Input|Output)(?::([a-zA-Z0-9_-]+))?\)/i;
 
 const INPUT_ROLE_ALIASES: Record<string, string[]> = {
-	prompt: ['prompt', 'positive'],
-	negative: ['negative', 'neg'],
-	width: ['width', 'w'],
-	height: ['height', 'h'],
-	character: ['character', 'char', 'portrait', 'sheet', 'face', 'ref'],
-	location: ['location', 'loc', 'environment', 'env', 'background', 'scene'],
-	image: ['image', 'img'],
-	video: ['video', 'vid'],
-	audio: ['audio', 'sound', 'sfx'],
-	seed: ['seed'],
-	duration: ['duration', 'dur', 'length', 'seconds'],
+  prompt: ["prompt", "positive"],
+  negative: ["negative", "neg"],
+  width: ["width", "w"],
+  height: ["height", "h"],
+  character: ["character", "char", "portrait", "sheet", "face", "ref"],
+  location: ["location", "loc", "environment", "env", "background", "scene"],
+  image: ["image", "img"],
+  video: ["video", "vid"],
+  audio: ["audio", "sound", "sfx"],
+  seed: ["seed"],
+  duration: ["duration", "dur", "length", "seconds"],
 };
 
 const OUTPUT_ROLE_ALIASES: Record<string, string[]> = {
-	image: ['image', 'img'],
-	video: ['video', 'vid'],
+  image: ["image", "img"],
+  video: ["video", "vid"],
 };
 
 export function parseTitleTag(title: string): {
-	kind: 'input' | 'output' | null;
-	role: string | null;
-	label: string;
+  kind: "input" | "output" | null;
+  role: string | null;
+  label: string;
 } {
-	if (!title) return { kind: null, role: null, label: '' };
-	const match = TITLE_TAG_RE.exec(title);
-	if (!match) return { kind: null, role: null, label: title.trim() };
-	const kind = match[1].toLowerCase() as 'input' | 'output';
-	const role = match[2] ? match[2].toLowerCase() : null;
-	const stripped = title.replace(TITLE_TAG_RE, '').trim();
-	const label = stripped || role || kind;
-	return { kind, role, label };
+  if (!title) return { kind: null, role: null, label: "" };
+  const match = TITLE_TAG_RE.exec(title);
+  if (!match) return { kind: null, role: null, label: title.trim() };
+  const kind = match[1].toLowerCase() as "input" | "output";
+  const role = match[2] ? match[2].toLowerCase() : null;
+  const stripped = title.replace(TITLE_TAG_RE, "").trim();
+  const label = stripped || role || kind;
+  return { kind, role, label };
 }
 
-export function normalizeInputRole(role: string | null | undefined): string | null {
-	if (!role) return null;
-	const r = role.toLowerCase().trim();
-	for (const [canonical, aliases] of Object.entries(INPUT_ROLE_ALIASES)) {
-		if (r === canonical || aliases.includes(r)) return canonical;
-	}
-	return r;
+export function normalizeInputRole(
+  role: string | null | undefined,
+): string | null {
+  if (!role) return null;
+  const r = role.toLowerCase().trim();
+  for (const [canonical, aliases] of Object.entries(INPUT_ROLE_ALIASES)) {
+    if (r === canonical || aliases.includes(r)) return canonical;
+  }
+  return r;
 }
 
-export function normalizeOutputRole(role: string | null | undefined): string | null {
-	if (!role) return null;
-	const r = role.toLowerCase().trim();
-	for (const [canonical, aliases] of Object.entries(OUTPUT_ROLE_ALIASES)) {
-		if (r === canonical || aliases.includes(r)) return canonical;
-	}
-	return r;
+export function normalizeOutputRole(
+  role: string | null | undefined,
+): string | null {
+  if (!role) return null;
+  const r = role.toLowerCase().trim();
+  for (const [canonical, aliases] of Object.entries(OUTPUT_ROLE_ALIASES)) {
+    if (r === canonical || aliases.includes(r)) return canonical;
+  }
+  return r;
 }
 
-function classToInputKind(classType: string): ComfyDynamicInput['kind'] {
-	if (IMAGE.has(classType)) return 'image';
-	if (IMAGE_URL.has(classType)) return 'image_url';
-	if (AUDIO.has(classType)) return 'audio';
-	if (VIDEO.has(classType)) return 'video';
-	if (NUMBER.has(classType)) return 'number';
-	if (TEXT_AREA.has(classType)) return 'textarea';
-	const lower = classType.toLowerCase();
-	if (lower.includes('video')) return 'video';
-	if (lower.includes('audio')) return 'audio';
-	if (lower.includes('image') || lower.includes('load')) return 'image';
-	if (lower.includes('int') || lower.includes('float') || lower.includes('seed')) return 'number';
-	if (lower.includes('text') || lower.includes('clip') || lower.includes('prompt')) return 'textarea';
-	return 'text';
+function classToInputKind(classType: string): ComfyDynamicInput["kind"] {
+  if (IMAGE.has(classType)) return "image";
+  if (IMAGE_URL.has(classType)) return "image_url";
+  if (AUDIO.has(classType)) return "audio";
+  if (VIDEO.has(classType)) return "video";
+  if (NUMBER.has(classType)) return "number";
+  if (TEXT_AREA.has(classType)) return "textarea";
+  const lower = classType.toLowerCase();
+  if (lower.includes("video")) return "video";
+  if (lower.includes("audio")) return "audio";
+  if (lower.includes("image") || lower.includes("load")) return "image";
+  if (
+    lower.includes("int") ||
+    lower.includes("float") ||
+    lower.includes("seed")
+  )
+    return "number";
+  if (
+    lower.includes("text") ||
+    lower.includes("clip") ||
+    lower.includes("prompt")
+  )
+    return "textarea";
+  return "text";
 }
 
 function extractDefault(node: WorkflowNode): string | number | undefined {
-	const { inputs, class_type } = node;
-	if (IMAGE.has(class_type) || AUDIO.has(class_type) || VIDEO.has(class_type)) return undefined;
-	if (typeof inputs.text === 'string') return inputs.text;
-	if (typeof inputs.value === 'string' || typeof inputs.value === 'number') return inputs.value;
-	if (typeof inputs.int === 'number') return inputs.int;
-	if (typeof inputs.float === 'number') return inputs.float;
-	return undefined;
+  const { inputs, class_type } = node;
+  if (IMAGE.has(class_type) || AUDIO.has(class_type) || VIDEO.has(class_type))
+    return undefined;
+  if (typeof inputs.text === "string") return inputs.text;
+  if (typeof inputs.value === "string" || typeof inputs.value === "number")
+    return inputs.value;
+  if (typeof inputs.int === "number") return inputs.int;
+  if (typeof inputs.float === "number") return inputs.float;
+  return undefined;
 }
 
-export function parseDynamicInputs(workflow: Record<string, WorkflowNode>): ComfyDynamicInput[] {
-	const results: ComfyDynamicInput[] = [];
-	for (const [nodeId, node] of Object.entries(workflow)) {
-		const title = node._meta?.title ?? '';
-		const { kind, role, label } = parseTitleTag(title);
-		if (kind !== 'input') continue;
-		results.push({
-			nodeId,
-			label: label || node.class_type,
-			role: normalizeInputRole(role),
-			kind: classToInputKind(node.class_type),
-			defaultValue: extractDefault(node),
-			required: true,
-		});
-	}
-	return results;
+export function parseDynamicInputs(
+  workflow: Record<string, WorkflowNode>,
+): ComfyDynamicInput[] {
+  const results: ComfyDynamicInput[] = [];
+  for (const [nodeId, node] of Object.entries(workflow)) {
+    const title = node._meta?.title ?? "";
+    const { kind, role, label } = parseTitleTag(title);
+    if (kind !== "input") continue;
+    results.push({
+      nodeId,
+      label: label || node.class_type,
+      role: normalizeInputRole(role),
+      kind: classToInputKind(node.class_type),
+      defaultValue: extractDefault(node),
+      required: true,
+    });
+  }
+  return results;
 }
 
-export function parseDynamicOutputs(workflow: Record<string, WorkflowNode>): ComfyDynamicOutput[] {
-	const results: ComfyDynamicOutput[] = [];
-	for (const [nodeId, node] of Object.entries(workflow)) {
-		const title = node._meta?.title ?? '';
-		const { kind, role, label } = parseTitleTag(title);
-		if (kind !== 'output') continue;
-		const canon = normalizeOutputRole(role);
-		let outKind: ComfyDynamicOutput['kind'] = 'other';
-		if (canon === 'video' || VIDEO_OUT.has(node.class_type) || node.class_type.toLowerCase().includes('video'))
-			outKind = 'video';
-		else if (
-			canon === 'image' ||
-			IMAGE_OUT.has(node.class_type) ||
-			node.class_type.toLowerCase().includes('image')
-		)
-			outKind = 'image';
-		results.push({
-			nodeId,
-			label: label || node.class_type,
-			role: canon,
-			kind: outKind,
-		});
-	}
-	return results;
+export function parseDynamicOutputs(
+  workflow: Record<string, WorkflowNode>,
+): ComfyDynamicOutput[] {
+  const results: ComfyDynamicOutput[] = [];
+  for (const [nodeId, node] of Object.entries(workflow)) {
+    const title = node._meta?.title ?? "";
+    const { kind, role, label } = parseTitleTag(title);
+    if (kind !== "output") continue;
+    const canon = normalizeOutputRole(role);
+    let outKind: ComfyDynamicOutput["kind"] = "other";
+    if (
+      canon === "video" ||
+      VIDEO_OUT.has(node.class_type) ||
+      node.class_type.toLowerCase().includes("video")
+    )
+      outKind = "video";
+    else if (
+      canon === "image" ||
+      IMAGE_OUT.has(node.class_type) ||
+      node.class_type.toLowerCase().includes("image")
+    )
+      outKind = "image";
+    results.push({
+      nodeId,
+      label: label || node.class_type,
+      role: canon,
+      kind: outKind,
+    });
+  }
+  return results;
 }

calliope-web/src/lib/comfy/promptInput.ts

@@ -1,50 +1,55 @@
-import type { ComfyDynamicInput } from './types';
-import { normalizeInputRole } from './parser';
+import type { ComfyDynamicInput } from "./types";
+import { normalizeInputRole } from "./parser";
 
-const PROMPT_ROLES = new Set(['prompt', 'positive']);
+const PROMPT_ROLES = new Set(["prompt", "positive"]);
 
 function roleOf(inp: ComfyDynamicInput): string | null {
-	return normalizeInputRole(inp.role ?? null);
+  return normalizeInputRole(inp.role ?? null);
 }
 
 /** Positive prompt input — prefers (Input:prompt), legacy label fallback. */
 export function isPromptLikeInput(inp: ComfyDynamicInput): boolean {
-	const role = roleOf(inp);
-	if (role && PROMPT_ROLES.has(role)) return true;
-	if (role) return false; // other roles are never "the" prompt
-	if (inp.kind !== 'text' && inp.kind !== 'textarea') return false;
-	const label = (inp.label || '').toLowerCase();
-	if (label.includes('negative')) return false;
-	return (
-		label.includes('prompt') ||
-		label.includes('positive') ||
-		label.includes('text') ||
-		inp.kind === 'textarea'
-	);
+  const role = roleOf(inp);
+  if (role && PROMPT_ROLES.has(role)) return true;
+  if (role) return false; // other roles are never "the" prompt
+  if (inp.kind !== "text" && inp.kind !== "textarea") return false;
+  const label = (inp.label || "").toLowerCase();
+  if (label.includes("negative")) return false;
+  return (
+    label.includes("prompt") ||
+    label.includes("positive") ||
+    label.includes("text") ||
+    inp.kind === "textarea"
+  );
 }
 
 /** Drop prompt-role fields from shared workflow forms (entity Image prompt owns those). */
-export function withoutPromptInputs(inputs: ComfyDynamicInput[] | undefined | null): ComfyDynamicInput[] {
-	if (!inputs?.length) return [];
-	return inputs.filter((inp) => !isPromptLikeInput(inp));
+export function withoutPromptInputs(
+  inputs: ComfyDynamicInput[] | undefined | null,
+): ComfyDynamicInput[] {
+  if (!inputs?.length) return [];
+  return inputs.filter((inp) => !isPromptLikeInput(inp));
 }
 
 /** True if this workflow schema has a prompt-role (or legacy prompt-like) (Input). */
-export function workflowHasPromptInput(inputs: ComfyDynamicInput[] | undefined | null): boolean {
-	if (!inputs?.length) return false;
-	return inputs.some(isPromptLikeInput);
+export function workflowHasPromptInput(
+  inputs: ComfyDynamicInput[] | undefined | null,
+): boolean {
+  if (!inputs?.length) return false;
+  return inputs.some(isPromptLikeInput);
 }
 
 /** Strip blank strings so empty fields cannot wipe smart-fill. */
 export function compactInputValues(
-	values: Record<string, unknown> | undefined | null,
+  values: Record<string, unknown> | undefined | null,
 ): Record<string, unknown> {
-	if (!values) return {};
-	const out: Record<string, unknown> = {};
-	for (const [k, v] of Object.entries(values)) {
-		if (v === null || v === undefined) continue;
-		if (typeof v === 'string' && !v.trim()) continue;
-		out[k] = v;
-	}
-	return out;
+  if (!values) return {};
+  const out: Record<string, unknown> = {};
+  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;
 }

calliope-web/src/lib/comfy/resolution.ts

@@ -0,0 +1,44 @@
+/**
+ * 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;
+}

calliope-web/src/lib/comfy/types.ts

@@ -1,111 +1,384 @@
-export type ComfyInputKind = 'text' | 'textarea' | 'number' | 'image' | 'image_url' | 'audio' | 'video';
-export type ComfyOutputKind = 'image' | 'video' | 'other';
+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;
-	/** Role from title tag, e.g. (Input:prompt) → "prompt". Null for plain (Input). */
-	role?: string | null;
-	kind: ComfyInputKind;
-	defaultValue?: string | number;
-	required: boolean;
+  nodeId: string;
+  label: string;
+  /** Role from title tag, e.g. (Input:prompt) → "prompt". Null for plain (Input). */
+  role?: string | null;
+  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?: string | null;
-	kind: ComfyOutputKind;
+  nodeId: string;
+  label: string;
+  /** Role from title tag, e.g. (Output:image). */
+  role?: string | null;
+  /** 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 {
-	class_type: string;
-	inputs: Record<string, unknown>;
-	_meta?: { title?: string };
+  class_type: string;
+  inputs: Record<string, unknown>;
+  _meta?: { title?: string };
 }
 
 export interface Workflow {
-	id: number;
-	name: string;
-	kind: 'image' | 'video';
-	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;
+  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 {
-	id: number;
-	project_id: number;
-	scene_id: number | null;
-	/** Render unit — video jobs are clip jobs (scene_id stays for grouping). */
-	clip_id: number | null;
-	kind: string;
-	workflow_id: number | null;
-	status: string;
-	payload: Record<string, unknown>;
-	output_paths: string[];
-	error: string | null;
-	created_at: string;
-	started_at: string | null;
-	completed_at: string | null;
-	retry_count: number;
+  id: number;
+  project_id: number;
+  scene_id: number | null;
+  /** Render unit — video jobs are clip jobs (scene_id stays for grouping). */
+  clip_id: number | null;
+  kind: string;
+  workflow_id: number | null;
+  status: string;
+  payload: Record<string, unknown>;
+  output_paths: string[];
+  error: string | null;
+  created_at: string;
+  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;
+  /** HEL-684: present when this take has been flowed back to its
+   * workbench source row (link job id on the source project). */
+  workbench_attach?: {
+    job_id: number;
+    stage: string;
+    target_id: string;
+  };
 }
 
 export interface SceneVideoSettings {
-	input_values?: Record<string, string | number>;
-	/** 'auto' | 'upload' | target scene id as string. */
-	clip_source?: string;
-	form_workflow_id?: number;
-	prompt_draft?: string;
-	prompt_draft_meta?: { based_on?: string; saved_at?: string };
-	[key: string]: unknown;
+  input_values?: Record<string, string | number>;
+  /** 'auto' | 'upload' | target scene id as string. */
+  clip_source?: string;
+  form_workflow_id?: number;
+  prompt_draft?: string;
+  prompt_draft_meta?: { based_on?: string; saved_at?: string };
+  [key: string]: unknown;
 }
 
 export interface Scene {
-	id: number;
-	project_id: number;
-	order_index: number;
-	heading: string | null;
-	action: string | null;
-	dialog: string | null;
-	duration_sec: number | null;
-	workflow_id: number | null;
-	env_image_path: string | null;
-	location_id: number | null;
-	video_path: string | null;
-	chain_from_prev?: number | boolean | null;
-	video_settings?: SceneVideoSettings | null;
-	character_ids: number[];
-	characters: Array<{
-		id: number;
-		name: string;
-		role: string | null;
-		portrait_path: string | null;
-		sheet_path: string | null;
-	}>;
-	clips: Clip[];
+  id: number;
+  project_id: number;
+  order_index: number;
+  heading: string | null;
+  action: string | null;
+  dialog: string | null;
+  duration_sec: number | null;
+  workflow_id: number | null;
+  env_image_path: string | null;
+  location_id: number | null;
+  video_path: string | null;
+  chain_from_prev?: number | boolean | null;
+  video_settings?: SceneVideoSettings | null;
+  character_ids: number[];
+  characters: Array<{
+    id: number;
+    name: string;
+    role: string | null;
+    portrait_path: string | null;
+    sheet_path: string | null;
+  }>;
+  clips: Clip[];
 }
 
 /** Shot unit: one scene expands into 1+ clips; each renders one ~5-10s video. */
 export interface Clip {
-	id: number;
-	scene_id: number;
-	project_id: number;
-	order_index: number;
-	description: string | null;
-	shot_size: string | null;
-	dialog_lines_covered: number[] | null;
-	duration_sec: number | null;
-	workflow_id: number | null;
-	clip_path: string | null;
-	chain_from_prev?: number | boolean | null;
-	video_settings?: SceneVideoSettings | null;
-	/** '#3.2' — scene 3, clip 2 (display label). */
-	label?: string;
+  id: number;
+  scene_id: number;
+  project_id: number;
+  order_index: number;
+  description: string | null;
+  shot_size: string | null;
+  dialog_lines_covered: number[] | null;
+  duration_sec: number | null;
+  workflow_id: number | null;
+  clip_path: string | null;
+  chain_from_prev?: number | boolean | null;
+  video_settings?: SceneVideoSettings | null;
+  /** '#3.2' — scene 3, clip 2 (display label). */
+  label?: string;
 }

calliope-web/src/lib/comfy/useUpload.svelte.ts

@@ -8,92 +8,96 @@
  *   - upload progress per nodeId
  *   - metadata (name, kind) for uploaded files
  */
-import { playgroundApi, type UploadKind } from '$lib/api';
-	import { toast } from '$lib/toast';
-	import { t } from '$lib/i18n.svelte';
+import { playgroundApi, type UploadKind } from "$lib/api";
+import { toast } from "$lib/toast";
+import { t } from "$lib/i18n.svelte";
 
 export interface UploadState {
-	/** nodeId → uploading filename (present while upload is in-flight) */
-	uploading: Record<string, string>;
-	/** path → { name, kind } for previously uploaded files */
-	uploadedMeta: Record<string, { name: string; kind: UploadKind }>;
+  /** nodeId → uploading filename (present while upload is in-flight) */
+  uploading: Record<string, string>;
+  /** path → { name, kind } for previously uploaded files */
+  uploadedMeta: Record<string, { name: string; kind: UploadKind }>;
 }
 
 export function createUploadManager() {
-	let uploading = $state<Record<string, string>>({});
-	let uploadedMeta = $state<Record<string, { name: string; kind: UploadKind }>>({});
+  let uploading = $state<Record<string, string>>({});
+  let uploadedMeta = $state<Record<string, { name: string; kind: UploadKind }>>(
+    {},
+  );
 
-	return {
-		get uploading() {
-			return uploading;
-		},
-		get uploadedMeta() {
-			return uploadedMeta;
-		},
+  return {
+    get uploading() {
+      return uploading;
+    },
+    get uploadedMeta() {
+      return uploadedMeta;
+    },
 
-		isUploading(nodeId: string): boolean {
-			return !!uploading[nodeId];
-		},
+    isUploading(nodeId: string): boolean {
+      return !!uploading[nodeId];
+    },
 
-		uploadMetaFor(path: string): { name: string; kind: UploadKind } {
-			const meta = uploadedMeta[path];
-			if (meta) return meta;
-			const base = path.split(/[/\\]/).pop() ?? path;
-			const ext = base.slice(base.lastIndexOf('.')).toLowerCase();
-			if (['.mp4', '.webm', '.mov', '.mkv'].includes(ext))
-				return { name: base, kind: 'video' };
-			if (['.mp3', '.wav', '.flac', '.ogg', '.m4a'].includes(ext))
-				return { name: base, kind: 'audio' };
-			return { name: base, kind: 'image' };
-		},
+    uploadMetaFor(path: string): { name: string; kind: UploadKind } {
+      const meta = uploadedMeta[path];
+      if (meta) return meta;
+      const base = path.split(/[/\\]/).pop() ?? path;
+      const ext = base.slice(base.lastIndexOf(".")).toLowerCase();
+      if ([".mp4", ".webm", ".mov", ".mkv"].includes(ext))
+        return { name: base, kind: "video" };
+      if ([".mp3", ".wav", ".flac", ".ogg", ".m4a"].includes(ext))
+        return { name: base, kind: "audio" };
+      return { name: base, kind: "image" };
+    },
 
-		/**
-		 * Upload a file and return the server path.
-		 * Manages uploading state and metadata internally.
-		 * Throws on failure (caller handles toast if needed).
-		 */
-		async upload(nodeId: string, file: File): Promise<string> {
-			uploading = { ...uploading, [nodeId]: file.name };
-			try {
-				const res = await playgroundApi.upload(file);
-				uploadedMeta = {
-					...uploadedMeta,
-					[res.path]: { name: res.name, kind: res.kind },
-				};
-				return res.path;
-			} finally {
-				const next = { ...uploading };
-				delete next[nodeId];
-				uploading = next;
-			}
-		},
+    /**
+     * Upload a file and return the server path.
+     * Manages uploading state and metadata internally.
+     * Throws on failure (caller handles toast if needed).
+     */
+    async upload(nodeId: string, file: File): Promise<string> {
+      uploading = { ...uploading, [nodeId]: file.name };
+      try {
+        const res = await playgroundApi.upload(file);
+        uploadedMeta = {
+          ...uploadedMeta,
+          [res.path]: { name: res.name, kind: res.kind },
+        };
+        return res.path;
+      } finally {
+        const next = { ...uploading };
+        delete next[nodeId];
+        uploading = next;
+      }
+    },
 
-		/**
-		 * Convenience: upload + toast on error, return path or null.
-		 */
-		async uploadSafe(nodeId: string, file: File): Promise<string | null> {
-			try {
-				return await this.upload(nodeId, file);
-			} catch (err) {
-				toast.error(err instanceof Error ? err.message : t('toast.uploadFailed'));
-				return null;
-			}
-		},
-	};
+    /**
+     * Convenience: upload + toast on error, return path or null.
+     */
+    async uploadSafe(nodeId: string, file: File): Promise<string | null> {
+      try {
+        return await this.upload(nodeId, file);
+      } catch (err) {
+        toast.error(
+          err instanceof Error ? err.message : t("toast.uploadFailed"),
+        );
+        return null;
+      }
+    },
+  };
 }
 
 export type UploadManager = ReturnType<typeof createUploadManager>;
 
 export function truncateMiddle(name: string, max = 32): string {
-	if (name.length <= max) return name;
-	const head = Math.ceil((max - 1) / 2);
-	const tail = Math.floor((max - 1) / 2);
-	return `${name.slice(0, head)}…${name.slice(name.length - tail)}`;
+  if (name.length <= max) return name;
+  const head = Math.ceil((max - 1) / 2);
+  const tail = Math.floor((max - 1) / 2);
+  return `${name.slice(0, head)}…${name.slice(name.length - tail)}`;
 }
 
 export function acceptForKind(kind: string): string {
-	if (kind === 'audio') return 'audio/*';
-	if (kind === 'video') return 'video/*,.mp4,.webm,.mov,.mkv';
-	if (kind === 'document') return '.txt,.md,.docx';
-	return 'image/*';
+  if (kind === "audio") return "audio/*";
+  if (kind === "video") return "video/*,.mp4,.webm,.mov,.mkv";
+  if (kind === "document") return ".txt,.md,.docx";
+  return "image/*";
 }

calliope-web/src/lib/components/ActivityPanel.svelte

@@ -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>

calliope-web/src/lib/components/AppHeader.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+	import { resolve } from '$app/paths';
 	import LanguageSwitcher from '$lib/components/LanguageSwitcher.svelte';
 	import { t } from '$lib/i18n.svelte';
 
@@ -15,8 +16,8 @@ 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={resolve('/')} title={t('shell.brand')}>
+			{t('shell.brand')}
 		</a>
 		{#if crumb}
 			<span class="crumb">{crumb}</span>
@@ -27,13 +28,13 @@ interface Props {
 			</div>
 		{/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 === '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>
+			<a class="nav-link" class:active={active === 'canvas'} href={resolve('/canvas')}>{t('nav.canvas')}</a>
+			<a class="nav-link" class:active={active === 'projects'} href={resolve('/')}>{t('nav.projects')}</a>
+			<a class="nav-link" class:active={active === 'build-scene'} href={resolve('/build-scene')}>{t('nav.buildScene')}</a>
+			<a class="nav-link" class:active={active === 'library'} href={resolve('/library')}>{t('nav.library')}</a>
+			<a class="nav-link" class:active={active === 'agents'} href={resolve('/agents')}>{t('nav.agents')}</a>
+			<a class="nav-link" class:active={active === 'models'} href={resolve('/models')}>{t('nav.models')}</a>
+			<a class="nav-link" class:active={active === 'settings'} href={resolve('/settings')}>{t('nav.settings')}</a>
 		</nav>
 	</div>
 	<div class="header-right">
@@ -69,18 +70,14 @@ 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;
@@ -122,7 +119,7 @@ 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;

calliope-web/src/lib/components/AssetThumb.svelte

@@ -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>

calliope-web/src/lib/components/AttachToProject.svelte

@@ -1,4 +1,5 @@
 <script lang="ts">
+	import { resolve } from '$app/paths';
 	import { createMutation, createQuery } from '@tanstack/svelte-query';
 	import {
 		playgroundApi,
@@ -136,10 +137,7 @@
 
 	const projectList = $derived(($projectsQuery.data ?? []) as Project[]);
 
-	// Stage-URL contract: images land on Assets, clips on Video.
-	const stageLink = $derived(
-		attached ? `/project/${attached.projectId}?stage=${isVideo ? 'video' : 'assets'}` : '',
-	);
+	// Five-stage workbench URL contract: images land on 素材资产, clips on 镜头脚本.
 </script>
 
 <div class="attach">
@@ -147,7 +145,7 @@
 		<div class="attached" role="status">
 			<span class="attached-check" aria-hidden="true"><Icon name="check" size={14} /></span>
 			<span class="attached-text">{t('attach.addedTo')} <strong>{attached.title}</strong></span>
-			<a class="attached-link" href={stageLink}>{t('attach.viewInProject')}</a>
+			<a class="attached-link" href={resolve(`/workbench/${attached.projectId}?stage=${isVideo ? 'shot' : 'assets'}`)}>{t('attach.viewInProject')}</a>
 			<button
 				class="attached-dismiss"
 				type="button"
@@ -173,7 +171,7 @@
 				<span class="field-label">{t('attach.projectField')}</span>
 				<select class="field-select" bind:value={projectId}>
 					<option value="">{t('attach.selectProject')}</option>
-					{#each projectList as p}
+					{#each projectList as p (p.id)}
 						<option value={p.id}>{p.title}</option>
 					{/each}
 				</select>
@@ -194,7 +192,7 @@
 						<span class="field-label">{t('attach.characterField')}</span>
 						<select class="field-select" bind:value={characterId} disabled={projectId === '' || loadingTargets}>
 							<option value="">{t('attach.selectCharacter')}</option>
-							{#each characters as c}
+							{#each characters as c (c.id)}
 								<option value={c.id}>{c.name}</option>
 							{/each}
 						</select>
@@ -207,7 +205,7 @@
 						<span class="field-label">{t('attach.locationField')}</span>
 						<select class="field-select" bind:value={locationId} disabled={projectId === '' || loadingTargets}>
 							<option value="">{t('attach.selectLocation')}</option>
-							{#each locations as loc}
+							{#each locations as loc (loc.id)}
 								<option value={loc.id}>{loc.name}</option>
 							{/each}
 						</select>
@@ -232,7 +230,7 @@
 					<span class="field-label">{t('attach.sceneField')}</span>
 					<select class="field-select" bind:value={sceneId} disabled={projectId === '' || loadingTargets}>
 						<option value="">{t('attach.selectScene')}</option>
-						{#each scenes as s}
+						{#each scenes as s (s.id)}
 							<option value={s.id}>#{s.order_index} {s.heading || t('attach.scene')}</option>
 						{/each}
 					</select>
@@ -267,13 +265,13 @@
 	.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 +280,8 @@
 		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 +291,26 @@
 		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 +320,15 @@
 		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 +337,20 @@
 	.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>