BPOS-TMP-REPO/apps/api/src/app/tool-bus.ts

/**
 * 工具总线的**装配面** —— 声明清单 → 可调用的 Mastra tools(编码规范 §6.2:
 * `@mastra` 只准出现在 adapter 与 app)。
 *
 * 声明面(纯逻辑,`toolbox/internal/domain/tool-bus.ts`)决定**能调什么**;
 * 这里决定**怎么调** —— 三路各自穿过它该穿的那道缝,一道都不许绕:
 *   · `function` → **工具调用一缝**(`ToolInvoker`):白名单、录制回放、契约校验;
 *     写类**不当场落地**,只登记动作意向,放行那一刻才由系统执行;
 *   · `human`    → 人类工具:发工单到负责人工位 + 立监听听回传,本回合就此等待;
 *   · `llm`      → **模型网关一缝**(`ModelGateway`):四元绑定、录制回放、用量计预算。
 *
 * 每件工具的入参 schema 由清单里的 JSON Schema 现译成 zod —— 模型照它填参,
 * 填错当场被 Mastra 拦下,不会带着脏参数穿过缝。
 */
import { createTool } from '@mastra/core/tools';
import type { ToolsInput } from '@mastra/core/agent';
import { z } from 'zod';
import type { StaffId, TaskId } from '@contracts';
import type { BusTool } from '@modules/toolbox';

/** 三路缝的最小口子 —— 各自只要这一点点能力,不把整个服务拖进来 */
export type ToolBusPorts = {
  /** 功能工具:读类当场调;写类先登记意向(放行才落地) */
  readonly invoke: (input: {
    taskId: TaskId;
    tool: string;
    input: Record<string, unknown>;
  }) => Promise<{ ok: boolean; output?: Record<string, unknown>; error?: { message: string } }>;
  readonly isWriteEffect: (tool: string) => Promise<boolean>;
  readonly registerIntent: (input: {
    taskId: TaskId;
    tool: string;
    input: Record<string, unknown>;
    label: string;
  }) => Promise<void>;
  /** 人类工具:发工单 */
  readonly issueCard: (input: {
    taskId: TaskId;
    ownerId: StaffId;
    humanCallCap: number;
    workOrder: 'execution' | 'acceptance';
    card: Record<string, unknown>;
  }) => Promise<{ id: string }>;
  /** 人类工具:立监听听人 */
  readonly listen: (input: {
    taskId: TaskId;
    eventType: 'data' | 'time' | 'human';
    keyFilter: Record<string, string>;
    deadline: string;
  }) => Promise<{ id: string }>;
  /** LLM 工具:经模型网关 */
  readonly generate: (input: {
    model: string;
    system?: string;
    prompt: string;
    outputSchema?: Record<string, unknown>;
    taskId: TaskId;
    label: string;
  }) => Promise<{ text: string; object?: unknown }>;
};

export type ToolBusContext = {
  readonly taskId: TaskId;
  readonly ownerId: StaffId;
  readonly humanCallCap: number;
  /** 活动声明的模型用途名(第一个)—— LLM 工具用它,活动不见厂商型号 */
  readonly model: string;
};

/** 本回合调人的痕:总线把它交回引擎,引擎据此把这一拍收成 awaiting */
export type ToolBusTrace = {
  /** 调人发出的卡(有值即本回合要等人) */
  askedCardId?: string;
};

/**
 * JSON Schema → zod(仅译总线用得上的那一小撮:object/string/number/integer/
 * boolean/array/enum)。译不出的类型退化成 `z.unknown()` —— 宁可放宽,
 * 也不假装校验过:真正的契约校验在缝里(`ToolInvoker.validate`),这里只为让模型会填。
 */
function toZod(schema: Record<string, unknown> | undefined): z.ZodTypeAny {
  if (schema === undefined) return z.object({}).passthrough();
  const type = schema['type'];
  const describe = (t: z.ZodTypeAny) =>
    typeof schema['description'] === 'string' ? t.describe(schema['description']) : t;

  if (Array.isArray(schema['enum'])) {
    const values = (schema['enum'] as unknown[]).map(String);
    return describe(values.length > 0 ? z.enum(values as [string, ...string[]]) : z.string());
  }
  if (type === 'string') return describe(z.string());
  if (type === 'number') return describe(z.number());
  if (type === 'integer') return describe(z.number().int());
  if (type === 'boolean') return describe(z.boolean());
  if (type === 'array') {
    const items = schema['items'];
    return describe(z.array(toZod(typeof items === 'object' && items !== null ? (items as Record<string, unknown>) : undefined)));
  }
  if (type === 'object') {
    const props = schema['properties'];
    if (typeof props !== 'object' || props === null) return describe(z.object({}).passthrough());
    const required = new Set(Array.isArray(schema['required']) ? (schema['required'] as string[]) : []);
    const shape: Record<string, z.ZodTypeAny> = {};
    for (const [key, value] of Object.entries(props as Record<string, unknown>)) {
      const field = toZod(typeof value === 'object' && value !== null ? (value as Record<string, unknown>) : undefined);
      shape[key] = required.has(key) ? field : field.optional();
    }
    return describe(z.object(shape));
  }
  return describe(z.unknown());
}

/** LLM 五件的提示词:系统内化的能力,提示词也归系统 —— 活动不写、也改不了 */
function llmPrompt(id: string, args: Record<string, unknown>): { system: string; prompt: string } {
  const j = (v: unknown) => JSON.stringify(v ?? null);
  switch (id) {
    case 'llm.extract':
      return {
        system: '你是抽取器。只从原文里抽,抽不到的字段留空 —— **不许编**。只回 JSON。',
        prompt: `字段:${j(args['fields'])}\n提示:${String(args['hint'] ?? '无')}\n原文:\n${String(args['text'] ?? '')}\n\n回 {"values": {字段: 值}}`,
      };
    case 'llm.classify':
      return {
        system: '你是归类器。只能从给定类目里选一个;判不了就回 "unknown"。只回 JSON。',
        prompt: `类目:${j(args['labels'])}\n提示:${String(args['hint'] ?? '无')}\n内容:\n${String(args['text'] ?? '')}\n\n回 {"label": "...", "rationale": "一句话理由"}`,
      };
    case 'llm.summarize':
      return {
        system: '你是摘要器。只压缩已有内容,不添事实、不作判断。只回 JSON。',
        prompt: `重点:${String(args['focus'] ?? '无')}\n字数上限:${String(args['maxWords'] ?? 200)}\n原文:\n${String(args['text'] ?? '')}\n\n回 {"summary": "..."}`,
      };
    case 'llm.judge':
      return {
        system: '你是裁断器。给出是/否与理由,并诚实给出把握度(0-1)。**你的结论只作参考,不代替人的放行裁决**。只回 JSON。',
        prompt: `问题:${String(args['question'] ?? '')}\n判据:\n${String(args['basis'] ?? '')}\n\n回 {"verdict": true/false, "confidence": 0-1, "rationale": "理由"}`,
      };
    default:
      return {
        system: '你是改写器。只改表达方式,**不添事实、不删事实**。只回 JSON。',
        prompt: `要求:${String(args['instruction'] ?? '')}\n原文:\n${String(args['text'] ?? '')}\n\n回 {"text": "改写后"}`,
      };
  }
}

/**
 * 把总线清单装配成 Mastra tools。
 *
 * `trace` 是回传口:调人这件事在 Agent 眼里是「调了个工具」,在引擎眼里是
 * 「本回合要挂起等人」—— 工具执行时把卡号记进 trace,引擎读它收尾。
 */
export function buildMastraTools(
  bus: readonly BusTool[],
  ports: ToolBusPorts,
  context: ToolBusContext,
  trace: ToolBusTrace,
): ToolsInput {
  const out: ToolsInput = {};

  for (const tool of bus) {
    // Mastra 的 tool id 不收点号以外的怪字符,统一把点号换成双下划线,回调时换回来
    const key = tool.id.replace(/[^a-zA-Z0-9_]/g, '__');

    out[key] = createTool({
      id: key,
      description: tool.description,
      inputSchema: toZod(tool.input) as never,
      execute: async (inputData: unknown) => {
        const args = (inputData ?? {}) as Record<string, unknown>;

        if (tool.kind === 'human') {
          const card = await ports.issueCard({
            taskId: context.taskId,
            ownerId: context.ownerId,
            humanCallCap: context.humanCallCap,
            workOrder: 'execution',
            card: args,
          });
          await ports.listen({
            taskId: context.taskId,
            eventType: 'human',
            keyFilter: { cardId: card.id },
            deadline: 'P3D',
          });
          trace.askedCardId = card.id;
          return { asked: true, cardId: card.id };
        }

        if (tool.kind === 'llm') {
          const { system, prompt } = llmPrompt(tool.id, args);
          const result = await ports.generate({
            model: context.model,
            system,
            prompt,
            ...(tool.output === undefined ? {} : { outputSchema: tool.output }),
            taskId: context.taskId,
            label: tool.id,
          });
          return (result.object ?? { text: result.text }) as Record<string, unknown>;
        }

        /*
         * 功能工具:**写类不当场落地**(OS 06「过程不落地」)——
         * 过程中只冻结入参登记为动作意向,放行那一刻由系统执行。
         * 骗 Agent 说「已执行」是最坏的选项:它会据此往下推,而世界上什么都没发生。
         */
        if (await ports.isWriteEffect(tool.id)) {
          await ports.registerIntent({ taskId: context.taskId, tool: tool.id, input: args, label: tool.id });
          return { registered: true, note: '写类工具已登记为动作意向 —— 放行时才真正执行,现在世界上什么都没变' };
        }

        const result = await ports.invoke({ taskId: context.taskId, tool: tool.id, input: args });
        if (!result.ok) return { ok: false, error: result.error?.message ?? '工具调用失败' };
        return { ok: true, ...(result.output ?? {}) };
      },
    });
  }

  return out;
}