fix(rectification): ask spoken collect questions in the agent body
The standalone collect prompt bar reused the choice-card chrome and duplicated the question. Visibility now comes from the spoken reply, with an empty-body fallback that posts the persisted focus prompt. Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
@@ -2,29 +2,30 @@ import assert from "node:assert/strict";
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import { readFileSync } from "node:fs";
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import test from "node:test";
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import {
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parseRectificationChoiceCard,
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parseRectificationSpokenCollect,
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} from "../src/lib/rectification-agentic/v9/choice-card.ts";
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import { parseRectificationChoiceCard } from "../src/lib/rectification-agentic/v9/choice-card.ts";
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import {
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isRenderableChoiceOpenQuestion,
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openQuestionFromPersistedFocus,
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persistServerOwnedFocus,
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stableFollowupQuestionId,
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} from "../src/lib/rectification-agentic/v9/server-focus.ts";
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import { projectTurnDecision } from "../src/lib/rectification-agentic/v9/turn-decision.ts";
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import { emptyAnswerCollectSpokenFallback, projectTurnDecision } from "../src/lib/rectification-agentic/v9/turn-decision.ts";
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import { persistEmptyCollectSpokenAssistant } from "../src/lib/rectification-agentic/v9/answer-choice.ts";
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import { spokenCollectFallbackFollowup } from "../src/lib/rectification-agentic/v9/method-followup.ts";
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import type { MethodFollowup } from "../src/lib/rectification-agentic/v9/method-followup.ts";
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import { RECTIFICATION_SKILL_VERSION } from "../src/lib/rectification-agentic/v9/case-status.ts";
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import { runV9AgentTurn } from "../src/lib/rectification-agentic/v9/agent-run.ts";
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import {
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CASE_ID,
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FOCUS_ID,
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TURN_ID,
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USER_ID,
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activeFocusFixture,
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candidateSnapshotFixture,
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conversationSummaryFixture,
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dossierFixture,
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fakeAccounting,
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receiptHandlers,
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} from "./rectification-v9-test-support.ts";
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import { parseV9CaseDossier as parseDossier } from "../src/lib/rectification-agentic/v9/tool-service.ts";
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@@ -88,51 +89,53 @@ test("skill version stays 10.0.13 for the spoken-collect visibility fix", () =>
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assert.equal(RECTIFICATION_SKILL_VERSION, "10.0.13");
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});
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test("spoken collect parser accepts collect_spoken GET payloads and fail-closes otherwise", () => {
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const parsed = parseRectificationSpokenCollect(COLLECT_GET_QUESTION);
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assert.equal(parsed?.kind, "collect_spoken");
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assert.equal(parsed?.prompt, RELATIONSHIP_PROMPT);
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assert.equal(parsed?.domain, "relationship");
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assert.equal(parseRectificationSpokenCollect({
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...COLLECT_GET_QUESTION,
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kind: "choice",
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}), null);
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assert.equal(parseRectificationSpokenCollect({
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kind: "collect_spoken",
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prompt: " ",
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domain: "relationship",
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}), null);
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assert.equal(parseRectificationSpokenCollect({
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kind: "collect_spoken",
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domain: "relationship",
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}), null);
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assert.equal(parseRectificationSpokenCollect(null), null);
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assert.equal(parseRectificationSpokenCollect({
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kind: "collect_spoken",
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prompt: RELATIONSHIP_PROMPT,
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choice_mode: "A/B/C/D",
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options: [{ key: "A" }],
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}), null);
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test("GET collect_spoken is not rendered as a standalone chat block", () => {
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const chat = readFileSync(new URL("../src/components/rectification-agentic-chat.tsx", import.meta.url), "utf8");
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const styles = readFileSync(new URL("../src/app/globals.css", import.meta.url), "utf8");
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const choiceCard = readFileSync(new URL("../src/lib/rectification-agentic/v9/choice-card.ts", import.meta.url), "utf8");
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assert.doesNotMatch(chat, /parseRectificationSpokenCollect/);
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assert.doesNotMatch(chat, /showLiveSpokenCollect/);
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assert.doesNotMatch(chat, /spokenCollect/);
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assert.doesNotMatch(chat, /liveSpoken/);
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assert.doesNotMatch(chat, /rectification-spoken-collect-prompt/);
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assert.doesNotMatch(chat, /aria-label="口述采集题"/);
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assert.doesNotMatch(styles, /rectification-spoken-collect-prompt/);
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assert.doesNotMatch(choiceCard, /parseRectificationSpokenCollect|RectificationSpokenCollect/);
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assert.doesNotMatch(chat, /message\.text\.(?:includes|match|search)\(/);
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assert.equal(parseRectificationChoiceCard(COLLECT_GET_QUESTION), null);
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});
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test("spoken collect prompt bar is not rendered when a choice card is present", () => {
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test("choice_card still renders through the existing choice-card branch", () => {
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const chat = readFileSync(new URL("../src/components/rectification-agentic-chat.tsx", import.meta.url), "utf8");
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assert.match(chat, /parseRectificationSpokenCollect/);
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assert.match(chat, /payload\.current_question/);
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assert.match(chat, /showLiveSpokenCollect = Boolean\(/);
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assert.match(chat, /!choiceCard/);
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assert.match(chat, /spokenCollect/);
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const render = chat.slice(
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chat.indexOf("{messages.map((message) => {"),
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chat.indexOf("{savedTime &&"),
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);
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assert.match(render, /showLiveSpokenCollect/);
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assert.match(render, /showLiveChoiceCard/);
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const spokenBlock = render.slice(render.indexOf("{liveSpoken &&"));
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assert.match(spokenBlock, /rectification-spoken-collect-prompt/);
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assert.doesNotMatch(spokenBlock, /onSelect=\{submitChoice\}|submitStop|A\/B\/C\/D/);
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assert.doesNotMatch(chat, /message\.text\.(?:includes|match|search)\(/);
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assert.match(render, /<RectificationChoiceCard/);
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assert.match(render, /onSelect=\{submitChoice\}/);
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assert.match(render, /onStop=\{submitStop\}/);
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assert.doesNotMatch(render, /liveSpoken/);
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assert.doesNotMatch(render, /showLiveSpokenCollect/);
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});
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test("empty answerText with a collect_spoken focus falls back to the focus prompt; non-empty does not", () => {
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const collect = {
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kind: "collect_spoken" as const,
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prompt: RELATIONSHIP_PROMPT,
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};
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assert.equal(emptyAnswerCollectSpokenFallback("", collect), RELATIONSHIP_PROMPT);
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assert.equal(emptyAnswerCollectSpokenFallback(" ", collect), RELATIONSHIP_PROMPT);
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assert.equal(emptyAnswerCollectSpokenFallback("记下了。", collect), null);
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assert.equal(emptyAnswerCollectSpokenFallback("", {
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kind: "choice",
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prompt: RELATIONSHIP_PROMPT,
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}), null);
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assert.equal(emptyAnswerCollectSpokenFallback("", null), null);
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assert.equal(emptyAnswerCollectSpokenFallback("", {
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kind: "collect_spoken",
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prompt: " ",
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}), null);
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});
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test("openQuestionFromPersistedFocus returns collect_spoken without making collect choice-ready", () => {
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@@ -294,15 +297,126 @@ test("active_focus collect followups get a domain-stable questionId, not active_
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assert.equal(open?.kind, "collect_spoken");
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});
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test("agent prompt forbids 请点选 bridging unless a choice card exists", () => {
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test("agent prompt requires spoken collect questions in the body and forbids 请点选 unless a choice card exists", () => {
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const agent = readFileSync(new URL("../src/mastra/agentic-rectification.ts", import.meta.url), "utf8");
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const prompt = agent.slice(
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agent.indexOf("const agenticRectificationInstructions"),
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agent.indexOf("export function getRectificationV9Agent"),
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);
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assert.match(prompt, /界面提示条/);
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assert.match(prompt, /不复述题干/);
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assert.match(prompt, /口述采集题[\s\S]*必须由你用自己的话在正文里问出来/);
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assert.match(prompt, /请点选/);
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assert.match(prompt, /选择卡/);
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assert.doesNotMatch(prompt, /口述采集题(无选择卡,kind=collect_spoken)必须由你在正文里问出来/);
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assert.doesNotMatch(prompt, /界面提示条/);
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assert.doesNotMatch(prompt, /不复述题干/);
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});
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const FALLBACK_REQUEST_ID = "bbbbbbbb-bbbb-4bbb-8bbb-bbbbbbbbbbbb";
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function collectFocusDossier() {
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return dossierFixture({
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conversationSummary: conversationSummaryFixture({
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activeFocus: activeFocusFixture({
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intent: "collect_method_evidence",
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targetDomain: "relationship",
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expectedAnswerSchema: {
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prompt: RELATIONSHIP_PROMPT,
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collect: true,
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},
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}),
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}),
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});
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}
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test("empty agent body persists the collect_spoken prompt as a plain assistant message", async () => {
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const accounting = fakeAccounting({
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get_agentic_rectification_case_dossier: () => collectFocusDossier(),
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append_agentic_rectification_turn: (_fn, args) => ({
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turn_id: "99999999-9999-4999-8999-999999999999",
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idempotent: false,
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assistant_message: args.p_assistant_message,
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}),
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});
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const filled = await persistEmptyCollectSpokenAssistant({
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accounting: accounting.client,
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userId: USER_ID,
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caseId: CASE_ID,
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requestId: FALLBACK_REQUEST_ID,
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answerText: " ",
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});
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assert.equal(filled, RELATIONSHIP_PROMPT);
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const turn = accounting.calls.find((call) => call.fn === "append_agentic_rectification_turn");
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assert.equal(turn?.args.p_assistant_message, RELATIONSHIP_PROMPT);
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assert.equal(turn?.args.p_user_message, null);
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assert.equal(turn?.args.p_status, "completed");
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const skipped = await persistEmptyCollectSpokenAssistant({
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accounting: accounting.client,
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userId: USER_ID,
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caseId: CASE_ID,
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requestId: FALLBACK_REQUEST_ID,
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answerText: "记下了。你长期做什么工作?",
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});
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assert.equal(skipped, null);
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assert.equal(
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accounting.calls.filter((call) => call.fn === "append_agentic_rectification_turn").length,
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1,
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);
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});
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test("agent route emits the collect prompt only when the body is empty", () => {
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const route = readFileSync(new URL("../src/app/api/rectification/agent/route.ts", import.meta.url), "utf8");
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const afterRun = route.slice(route.indexOf("const result = await runV9AgentTurn"));
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assert.match(afterRun, /persistNextInterviewIfIdle/);
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assert.match(afterRun, /persistEmptyCollectSpokenAssistant/);
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assert.ok(afterRun.indexOf("result.ok") < afterRun.indexOf("persistNextInterviewIfIdle"));
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assert.ok(afterRun.indexOf("persistNextInterviewIfIdle") < afterRun.indexOf("persistEmptyCollectSpokenAssistant"));
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assert.match(afterRun, /if \(!result\.answerText\.trim\(\)\)/);
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assert.match(afterRun, /send\(\{ type: "answer\.delta", text: fallback \}\)/);
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assert.doesNotMatch(afterRun, /answerText\.(?:includes|match|search)\(/);
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});
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test("empty stream with an open collect_spoken focus uses the focus prompt as the assistant message", async () => {
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const emitted: Array<{ type: string; text?: string }> = [];
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const accounting = fakeAccounting({
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...receiptHandlers,
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get_agentic_rectification_case_dossier: () => collectFocusDossier(),
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append_agentic_rectification_turn: () => ({ turn_id: TURN_ID }),
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finalize_agentic_rectification_turn: () => ({ turn_id: TURN_ID, status: "completed", idempotent: false }),
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});
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const result = await runV9AgentTurn({
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userId: USER_ID,
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caseId: CASE_ID,
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sessionId: "22222222-2222-4222-8222-222222222222",
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requestId: "aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee",
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action: "evidence",
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message: "2016年9月离开家去北京工作",
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modelName: "gpt-4o-mini",
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accounting: accounting.client,
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billing: {
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reserve: async () => ({ success: true, status: 200 }),
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complete: async () => true,
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release: async () => true,
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},
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emit: (event) => { emitted.push(event); },
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buildAgent: async () => ({
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stream: async () => ({
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fullStream: (async function* () {
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yield { type: "start" };
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yield { type: "tool-call", payload: { toolName: "skill", args: { name: "jyotish-birth-time-rectification" } } };
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yield { type: "tool-result", payload: { toolName: "skill" } };
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yield { type: "tool-call", payload: { toolName: "rectification-read-case", args: { caseId: CASE_ID } } };
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yield { type: "tool-result", payload: { toolName: "rectification-read-case" } };
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yield { type: "finish" };
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})(),
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totalUsage: Promise.resolve({ inputTokens: 10, outputTokens: 4 }),
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}),
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getSkill: async () => ({ name: "jyotish-birth-time-rectification", instructions: "skill" }),
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}) as never,
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});
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assert.equal(result.ok, true);
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assert.equal(result.answerText, RELATIONSHIP_PROMPT);
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assert.deepEqual(
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emitted.filter((event) => event.type === "answer.delta"),
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[{ type: "answer.delta", text: RELATIONSHIP_PROMPT }],
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);
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});
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