agents-team-book-metadata

Agent Building

启用 agents-team 协作，双代理完成小说逐章元数据抽取与完整性审校（parser + checker），并写入可续跑的记忆索引。

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agents-team-book-metadata

目标：在小说章节级输入上，生成完整且可落库的章节元数据 JSON，并将关键结果写入 .agents/memory 形成可检索、可续跑的记忆资产。

必要前置

必须先加载 agents-team。
必须先加载 cognitive-memory。
若任一步骤缺失，直接报错并停止，不允许静默降级。

Team 角色

必须使用 agents team 工具并显式分工：

parser（优先 agent_type: research）

负责逐章抽取元数据。
输出必须覆盖每个 chapter。

checker（优先 agent_type: reviewer，必要时再补一个 editor）

负责完整性检查、缺失补全、重复清理、字段标准化。
保证最终输出结构稳定并校验关系网可用性。

目录与记忆布局（强制）

先生成 BookSlug（lower-kebab-case），然后创建目录：

.agents/memory/books/<BookSlug>/metadata/progress.json
.agents/memory/books/<BookSlug>/metadata/chapters.json
.agents/memory/books/<BookSlug>/metadata/character-graph.json
.agents/memory/books/<BookSlug>/metadata/index.json

index.json 至少包含：

{
  "book": { "slug": "my-book", "title": "..." },
  "updatedAt": "2026-02-27T00:00:00.000Z",
  "chapters": { "total": 12, "path": "chapters.json" },
  "characterGraph": { "path": "character-graph.json", "nodeCount": 10, "edgeCount": 18 },
  "checkpoint": { "phase": "done", "next": "ready-for-storyboard" }
}

执行流程

spawn_agent 启动 orchestrator 或主代理自己先做输入切分。
spawn_agent 启动 parser。
wait 等 parser 完成，再把 parser 结果传给 checker。
spawn_agent 或 send_input 启动 checker。
wait 等待 checker 完成。
主代理汇总 checker 结果，形成最终 JSON。
用 write_file 写入四个 metadata 文件。
用 memory_save 写入长期记忆：

semantic: 角色关系网、角色主特征、章节核心冲突摘要
procedural: 本次抽取规则、去重策略、命名策略
episodic: 本次运行的输入范围、完成时间、异常与修复

用 memory_search 复查写入结果可检索（至少 1 次）。

输出约束（严格）

最终回复给用户时：

只输出 JSON，不要 markdown、不要解释文本。
顶层必须包含：

{
  "book": { "slug": "my-book", "title": "..." },
  "chapters": [
    {
      "chapter": 1,
      "title": "...",
      "summary": "...",
      "keywords": ["..."],
      "coreConflict": "...",
      "characters": [{ "name": "...", "description": "..." }],
      "props": [{ "name": "...", "description": "..." }],
      "scenes": [{ "name": "...", "description": "..." }],
      "locations": [{ "name": "...", "description": "..." }]
    }
  ],
  "characterGraph": {
    "nodes": [
      {
        "id": "role_a",
        "name": "角色A",
        "importance": "main|supporting|minor",
        "firstChapter": 1,
        "lastChapter": 20,
        "chapterSpan": [1, 2],
        "unlockChapter": 1
      }
    ],
    "edges": [
      {
        "sourceId": "role_a",
        "targetId": "role_b",
        "relation": "coappear|conflict",
        "weight": 3,
        "chapterHints": [1, 2]
      }
    ]
  }
}

质量要求

不漏章：chapters.length 必须与输入章节数量一致。
每章字段必须完整：title、summary、keywords、coreConflict、characters、props、scenes、locations。
实体数组去重（按 name，不区分大小写）。
章节序号稳定，不重排。
characterGraph.nodes 至少覆盖 main/supporting。
edges 去重、无自环，relation 只能是 coappear 或 conflict。
如关键字段无法确定，必须继续推导补全；禁止输出 unknown/null/待补充。
任何解析失败必须显式报错并给出原因，禁止静默兜底。

续跑规则

当用户说“继续”时，先做：

read_file 读取 progress.json + index.json。
memory_search 查询 BookSlug + metadata + characterGraph。
仅在状态一致时继续，否则先返回冲突原因并停止。