Jesse_Chen
4e247c112e
Enumerate evidence kinds so education cannot be proposed as a kind, and stream Chinese thinking on a separate channel that collapses when the reply arrives. Co-authored-by: Cursor <cursoragent@cursor.com>
586 lines
24 KiB
TypeScript
586 lines
24 KiB
TypeScript
import assert from "node:assert/strict";
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import { readFileSync, realpathSync } from "node:fs";
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import { basename } from "node:path";
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import { fileURLToPath } from "node:url";
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import test from "node:test";
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import {
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RECTIFICATION_AGENT_HARD_STEP_LIMIT,
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RECTIFICATION_AGENT_MAX_STEPS,
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RECTIFICATION_AGENT_STEP_BUDGETS,
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RECTIFICATION_V9_PACKAGE_PATH,
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RECTIFICATION_V9_SKILL_PATH,
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RECTIFICATION_V9_SKILL_NAME,
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getRectificationV9Agent,
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getRectificationV9RegenerationAgent,
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resolveRectificationStepBudget,
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} from "../src/mastra/agentic-rectification.ts";
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import {
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createRectificationV9ReadOnlyTools,
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createRectificationV9Tools,
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} from "../src/mastra/rectification-v9-tools.ts";
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import { runV9AgentTurn, type V9AgentRunOptions } from "../src/lib/rectification-agentic/v9/agent-run.ts";
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import { persistV9Candidate } from "../src/lib/rectification-agentic/v9/tool-service.ts";
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import { RECTIFICATION_SKILL_NAME, RECTIFICATION_SKILL_VERSION } from "../src/lib/rectification-agentic/v9/case-status.ts";
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import {
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CASE_ID,
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CANDIDATE_RANGE,
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CANDIDATE_ID,
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EVIDENCE_ID,
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SESSION_ID,
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TURN_ID,
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USER_ID,
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candidateSnapshotFixture,
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dossierFixture,
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fakeAccounting,
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receiptHandlers,
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RESULT_ID,
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} from "./rectification-v9-test-support.ts";
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const agentSource = readFileSync(
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fileURLToPath(new URL("../src/mastra/agentic-rectification.ts", import.meta.url)),
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"utf8",
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);
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test("system prompt carries only high-priority boundaries, never the method copy", () => {
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const promptStart = agentSource.indexOf("const agenticRectificationInstructions");
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const promptEnd = agentSource.indexOf("export function getRectificationV9Agent");
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const prompt = agentSource.slice(promptStart, promptEnd);
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// No gate -> scan -> score -> diagnostics orchestration in the prompt.
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assert.doesNotMatch(prompt, /rectification-gate[\s\S]*rectification-scan/);
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assert.doesNotMatch(prompt, /rectification-score[\s\S]*rectification-diagnostics/);
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assert.doesNotMatch(prompt, /rectification-confirm[\s\S]*rectification-save-birth-time/);
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assert.doesNotMatch(prompt, /10[–-]15 个事件/);
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assert.match(prompt, /D9\/D10 类型/);
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assert.match(prompt, /80%\/60%/);
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assert.match(prompt, /skill_verification_report/);
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assert.doesNotMatch(prompt, /run the required gate/);
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assert.doesNotMatch(prompt, /candidate_range/);
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assert.match(prompt, /jyotish-birth-time-rectification/);
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assert.match(prompt, /display_date_label/);
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assert.match(prompt, /rectification-record-evidence-batch/);
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assert.match(prompt, /不可分区间/);
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assert.match(prompt, /confirmation_gate/);
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assert.match(prompt, /session_outcome=adopt_representative/);
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assert.match(prompt, /还不能确认唯一分钟/);
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assert.match(prompt, /next_user_action/);
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assert.match(prompt, /rectification-offer-candidates/);
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assert.match(prompt, /on_user_stop/);
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assert.match(prompt, /禁止只说记下了/);
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assert.match(prompt, /工具执行过程保持静默/);
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assert.match(prompt, /思考过程必须用简体中文/);
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assert.match(prompt, /skill_verification_report/);
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assert.match(prompt, /精度阶段追问不挡出牌/);
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assert.match(prompt, /不得询问外貌、体质、胎记或疤痕/);
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assert.match(prompt, /expectedAnswerSchema.choice/);
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assert.match(prompt, /option_c、option_d/);
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assert.match(prompt, /「先这样」由服务器补全/);
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assert.match(prompt, /盘外核对（不计分）/);
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assert.doesNotMatch(prompt, /外貌、体质、胎记或疤痕可以问/);
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assert.doesNotMatch(prompt, /分盘句和宫位表由界面展示/);
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assert.doesNotMatch(prompt, /不是整张宫位表/);
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assert.doesNotMatch(prompt, /分别 propose\+confirm/);
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// Keep the prompt short (~30 lines max).
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assert.ok(prompt.split("\n").length <= 60, "instructions must stay bounded");
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});
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test("agent pins the dedicated rectification skill and its fixed version", () => {
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assert.equal(RECTIFICATION_V9_SKILL_NAME, "jyotish-birth-time-rectification");
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assert.equal(basename(RECTIFICATION_V9_SKILL_PATH), RECTIFICATION_V9_SKILL_NAME);
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assert.ok(RECTIFICATION_V9_PACKAGE_PATH.endsWith("skills/jyotish-birth-time-rectification/versions/10.0.10"));
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assert.notEqual(RECTIFICATION_V9_SKILL_PATH, RECTIFICATION_V9_PACKAGE_PATH);
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assert.equal(realpathSync(RECTIFICATION_V9_SKILL_PATH), RECTIFICATION_V9_PACKAGE_PATH);
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assert.equal(RECTIFICATION_SKILL_NAME, "jyotish-birth-time-rectification");
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assert.equal(RECTIFICATION_SKILL_VERSION, "10.0.10");
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});
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test("step budgets are bounded per action with a hard ceiling", () => {
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assert.equal(RECTIFICATION_AGENT_STEP_BUDGETS.opening, 6);
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assert.equal(RECTIFICATION_AGENT_STEP_BUDGETS.evidence, 8);
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assert.equal(RECTIFICATION_AGENT_STEP_BUDGETS.rescore, 12);
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assert.equal(RECTIFICATION_AGENT_STEP_BUDGETS.accept, 6);
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assert.equal(RECTIFICATION_AGENT_MAX_STEPS, 12);
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for (const action of ["opening", "read_only", "evidence", "rescore", "accept", "confirm"]) {
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const budget = resolveRectificationStepBudget(action as keyof typeof RECTIFICATION_AGENT_STEP_BUDGETS);
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assert.ok(budget <= RECTIFICATION_AGENT_HARD_STEP_LIMIT, `${action} must respect the hard ceiling`);
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}
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assert.equal(resolveRectificationStepBudget("rescore"), 12);
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});
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test("no tool accepts event arrays, birth data or candidate ranges as input", () => {
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const tools = createRectificationV9Tools({
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userId: USER_ID,
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caseId: CASE_ID,
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turnId: TURN_ID,
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accounting: fakeAccounting({}).client as never,
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});
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const toolNames = [
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"rectification-read-case",
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"rectification-propose-evidence",
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"rectification-confirm-evidence",
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"rectification-revise-evidence",
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"rectification-compare-candidates",
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"rectification-read-diagnostics",
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"rectification-offer-candidates",
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"rectification-accept-candidate",
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"rectification-confirm-birth-time",
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"rectification-close-case",
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];
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for (const name of toolNames) {
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const tool = tools[name as keyof typeof tools] as unknown as { inputSchema: { safeParse(value: unknown): { success: boolean } } };
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assert.ok(tool?.inputSchema, `${name} must expose an input schema`);
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const malicious = {
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caseId: CASE_ID,
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userId: USER_ID,
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birth_date: "1997-08-08",
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latitude: 36.4,
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longitude: 114.2,
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timezone_offset: 8,
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candidate_range: { start_time: "04:00", end_time: "06:00" },
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events: [{ id: "e1", domain: "career", date: "2016-09" }],
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scores: [10, 20],
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confirmationAllowed: true,
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};
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const result = tool.inputSchema.safeParse(malicious);
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assert.equal(result.success, false, `${name} must reject userId/birth/range/events/scores/permissions`);
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}
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});
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type StreamChunk = {
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type: string;
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payload?: { toolName?: unknown; text?: unknown; args?: unknown; error?: unknown };
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};
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type FakeStreamResult = {
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fullStream: AsyncIterable<StreamChunk>;
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totalUsage?: Promise<{ inputTokens?: number; outputTokens?: number }>;
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};
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function chunk(type: string, payload?: Record<string, unknown>): StreamChunk {
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return { type, ...(payload ? { payload } : {}) };
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}
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function fakeAgentStream(chunks: StreamChunk[]) {
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const streamResult: FakeStreamResult = {
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fullStream: (async function* () {
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for (const item of chunks) yield item;
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})(),
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totalUsage: Promise.resolve({ inputTokens: 10, outputTokens: 20 }),
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};
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return {
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stream: async () => streamResult,
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getSkill: async () => ({ name: RECTIFICATION_SKILL_NAME, instructions: "skill" }),
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};
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}
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function runOptions(overrides: Partial<V9AgentRunOptions> = {}): {
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options: V9AgentRunOptions;
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emitted: Array<{ type: string }>;
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billing: { reserved: number; completed: number; released: number };
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} {
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const emitted: Array<{ type: string }> = [];
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const billing = { reserved: 0, completed: 0, released: 0 };
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const accounting = fakeAccounting({
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...receiptHandlers,
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get_agentic_rectification_case_dossier: () => dossierFixture(),
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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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get_agentic_rectification_turn_receipt: () => null,
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});
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const optionsValue: V9AgentRunOptions = {
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userId: USER_ID,
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caseId: CASE_ID,
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sessionId: SESSION_ID,
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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 () => { billing.reserved += 1; return { success: true, status: 200 }; },
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complete: async () => { billing.completed += 1; return true; },
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release: async () => { billing.released += 1; return true; },
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},
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emit: (event) => { emitted.push(event); },
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buildAgent: async () => fakeAgentStream([]) as never,
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...overrides,
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};
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return { options: optionsValue, emitted, billing };
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}
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test("agent receives the exact server-owned case id for tool calls", async () => {
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let observedMessages: unknown[] = [];
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const agent = fakeAgentStream([
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chunk("start"),
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chunk("tool-call", { toolName: "skill", args: { name: RECTIFICATION_SKILL_NAME } }),
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chunk("tool-result", { toolName: "skill" }),
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chunk("tool-call", { toolName: "rectification-read-case", args: { caseId: CASE_ID } }),
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chunk("tool-result", { toolName: "rectification-read-case" }),
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chunk("text-delta", { text: "你好，我是生时校正助手。" }),
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chunk("finish"),
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]);
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const { options } = runOptions({
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action: "opening",
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message: null,
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buildAgent: async () => ({
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...agent,
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stream: async (messages: unknown[]) => {
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observedMessages = messages;
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return agent.stream();
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},
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}) as never,
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});
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const result = await runV9AgentTurn(options);
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assert.equal(result.ok, true);
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const openingPrompt = JSON.stringify(observedMessages);
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assert.match(openingPrompt, new RegExp(CASE_ID));
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assert.match(openingPrompt, /服务端 opening brief/);
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assert.match(openingPrompt, /不要要求一次说完/);
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assert.match(openingPrompt, /当前 active focus/);
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assert.doesNotMatch(openingPrompt, /说明你会通过已发生的人生事件来校正出生时间/);
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});
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test("server-loaded Skill is bound before the provider and the first model step only exposes read-case", async () => {
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const skillInstructions = "immutable-skill-instructions-from-server";
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let observedMessages: unknown[] = [];
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let observedStreamOptions: {
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prepareStep?: (input: { stepNumber: number }) => unknown;
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modelSettings?: { maxOutputTokens?: number };
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providerOptions?: Record<string, { thinking?: { type?: string } }>;
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} = {};
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const agent = fakeAgentStream([
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chunk("start"),
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chunk("tool-call", { toolName: "rectification-read-case", args: { caseId: CASE_ID } }),
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chunk("tool-result", { toolName: "rectification-read-case" }),
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chunk("text-delta", { text: "你好，我先从一件你记得比较清楚的经历开始。" }),
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chunk("finish"),
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]);
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const accounting = fakeAccounting({
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...receiptHandlers,
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get_agentic_rectification_case_dossier: () => dossierFixture({ turnCount: 0, turns: [] }),
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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 { options, emitted, billing } = runOptions({
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accounting: accounting.client,
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buildAgent: async () => ({
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...agent,
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getSkill: async () => ({ name: RECTIFICATION_SKILL_NAME, instructions: skillInstructions }),
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stream: async (messages: unknown[], streamOptions: typeof observedStreamOptions) => {
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observedMessages = messages;
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observedStreamOptions = streamOptions;
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return agent.stream();
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},
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}) as never,
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});
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const result = await runV9AgentTurn(options);
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assert.equal(result.ok, true);
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assert.equal(result.skillLoaded, true);
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assert.equal(result.errorCode, null);
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assert.deepEqual(billing, { reserved: 1, completed: 1, released: 0 });
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assert.match(JSON.stringify(observedMessages), /服务器已绑定当前 Case 的精确 Skill/);
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assert.match(JSON.stringify(observedMessages), /不要重复调用 skill/);
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assert.match(JSON.stringify(observedMessages), new RegExp(skillInstructions));
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const firstStep = await observedStreamOptions.prepareStep?.({ stepNumber: 0 }) as {
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activeTools?: unknown;
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toolChoice?: unknown;
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};
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assert.deepEqual(firstStep, {
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activeTools: ["rectification-read-case"],
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toolChoice: "auto",
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});
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assert.equal(typeof firstStep?.toolChoice, "string");
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assert.equal(await observedStreamOptions.prepareStep?.({ stepNumber: 1 }), undefined);
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assert.equal(observedStreamOptions.modelSettings?.maxOutputTokens, 8192);
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assert.deepEqual(observedStreamOptions.providerOptions?.openai, { thinking: { type: "enabled" } });
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assert.equal(emitted.filter((event) => event.type === "skill.bound").length, 1);
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assert.equal(emitted.some((event) => event.type === "run.completed"), true);
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assert.equal(
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accounting.calls.filter((call) => call.fn === "insert_agentic_rectification_skill_run_receipt").length,
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1,
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);
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});
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test("first turn with a bound immutable Skill completes and persists receipts", async () => {
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const accounting = fakeAccounting({
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...receiptHandlers,
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get_agentic_rectification_case_dossier: () => dossierFixture({ turnCount: 0 }),
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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 { options, emitted, billing } = runOptions({
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accounting: accounting.client,
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buildAgent: async () => fakeAgentStream([
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chunk("start"),
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chunk("tool-call", { toolName: "skill", args: { name: RECTIFICATION_SKILL_NAME } }),
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chunk("tool-result", { toolName: "skill" }),
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chunk("tool-call", { toolName: "rectification-read-case", args: { caseId: CASE_ID } }),
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chunk("tool-result", { toolName: "rectification-read-case" }),
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chunk("text-delta", { text: "你好，我是生时校正助手。" }),
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chunk("finish"),
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]) as never,
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});
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const result = await runV9AgentTurn(options);
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assert.equal(result.ok, true);
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assert.equal(result.turnStatus, "completed");
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assert.equal(result.skillLoaded, true);
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assert.equal(billing.completed, 1);
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assert.equal(billing.released, 0);
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const types = emitted.map((event) => event.type);
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assert.ok(types.includes("run.started"));
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assert.ok(types.includes("skill.bound"));
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assert.ok(types.includes("case.loaded"));
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assert.ok(types.includes("intent.classified"));
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assert.ok(types.includes("answer.composed"));
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assert.ok(types.includes("billing.settled"));
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assert.ok(types.includes("answer.delta"));
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assert.ok(types.includes("run.completed"));
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// Reasoning and raw chunks are dropped.
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const accountingCalls = accounting.calls.map((call) => call.fn);
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assert.ok(accountingCalls.includes("insert_agentic_rectification_run_phase"));
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assert.ok(accountingCalls.includes("finalize_agentic_rectification_turn"));
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});
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test("framework getSkill failure is a controlled retry and then a failed turn", async () => {
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const { options, billing } = runOptions({
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buildAgent: async () => ({
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stream: async () => ({ fullStream: (async function* () {})() }),
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getSkill: async () => null,
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}) as never,
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});
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const result = await runV9AgentTurn(options);
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assert.equal(result.ok, false);
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assert.equal(result.errorCode, "skill_not_loaded");
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assert.equal(billing.released, 1);
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});
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test("distinct evidence calls in one natural turn are not mistaken for a repeated tool loop", async () => {
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const firstEvidenceId = EVIDENCE_ID;
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const secondEvidenceId = "88888888-8888-4888-8888-888888888888";
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const { options, billing } = runOptions({
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buildAgent: async () => fakeAgentStream([
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chunk("start"),
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chunk("tool-call", { toolName: "skill", args: { name: RECTIFICATION_SKILL_NAME } }),
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chunk("tool-result", { toolName: "skill" }),
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chunk("tool-call", { toolName: "rectification-read-case", args: { caseId: CASE_ID } }),
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chunk("tool-result", { toolName: "rectification-read-case" }),
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chunk("tool-call", {
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toolName: "rectification-propose-evidence",
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args: { caseId: CASE_ID, quote: "2016年9月离开家去北京开始工作", proposedKind: "career_entry" },
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}),
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chunk("tool-result", { toolName: "rectification-propose-evidence" }),
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chunk("tool-call", { toolName: "rectification-confirm-evidence", args: { caseId: CASE_ID, evidenceId: firstEvidenceId } }),
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chunk("tool-result", { toolName: "rectification-confirm-evidence" }),
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chunk("tool-call", {
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toolName: "rectification-propose-evidence",
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args: { caseId: CASE_ID, quote: "2020年又搬到了上海", proposedKind: "relocation" },
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}),
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chunk("tool-result", { toolName: "rectification-propose-evidence" }),
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chunk("tool-call", { toolName: "rectification-confirm-evidence", args: { caseId: CASE_ID, evidenceId: secondEvidenceId } }),
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chunk("tool-result", { toolName: "rectification-confirm-evidence" }),
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chunk("text-delta", { text: "这两件事已经分别纳入当前校正。" }),
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chunk("finish"),
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]) as never,
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});
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const result = await runV9AgentTurn(options);
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assert.equal(result.ok, true);
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assert.equal(result.errorCode, null);
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assert.equal(billing.completed, 1);
|
||
assert.deepEqual(result.toolsUsed.filter((name) => name.includes("evidence")), [
|
||
"rectification-propose-evidence",
|
||
"rectification-confirm-evidence",
|
||
]);
|
||
});
|
||
|
||
test("a repeated identical tool call is detected and aborts the turn", async () => {
|
||
const { options, billing } = runOptions({
|
||
buildAgent: async () => fakeAgentStream([
|
||
chunk("start"),
|
||
chunk("tool-call", { toolName: "skill", args: { name: RECTIFICATION_SKILL_NAME } }),
|
||
chunk("tool-result", { toolName: "skill" }),
|
||
...Array.from({ length: 4 }, () => chunk("tool-call", { toolName: "rectification-read-case", args: { caseId: CASE_ID } })),
|
||
chunk("finish"),
|
||
]) as never,
|
||
});
|
||
const result = await runV9AgentTurn(options);
|
||
assert.equal(result.ok, false);
|
||
assert.equal(result.errorCode, "repeated_tool_call");
|
||
assert.equal(billing.released, 1);
|
||
});
|
||
|
||
test("a failed opening does not let the next turn skip the server Skill load gate", async () => {
|
||
let streamCount = 0;
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => dossierFixture({
|
||
turnCount: 1,
|
||
turns: [{
|
||
id: TURN_ID,
|
||
role: "user",
|
||
text: "（开场）",
|
||
status: "failed",
|
||
created_at: "2026-08-12T10:00:00.000Z",
|
||
completed_at: null,
|
||
}],
|
||
}),
|
||
append_agentic_rectification_turn: () => ({ turn_id: TURN_ID }),
|
||
finalize_agentic_rectification_turn: () => ({ turn_id: TURN_ID, status: "failed", idempotent: false }),
|
||
});
|
||
const { options, billing } = runOptions({
|
||
accounting: accounting.client,
|
||
buildAgent: async () => ({
|
||
getSkill: async () => null,
|
||
stream: async () => {
|
||
streamCount += 1;
|
||
return { fullStream: (async function* () {})() };
|
||
},
|
||
}) as never,
|
||
});
|
||
|
||
const result = await runV9AgentTurn(options);
|
||
|
||
assert.equal(result.ok, false);
|
||
assert.equal(result.errorCode, "skill_not_loaded");
|
||
assert.equal(streamCount, 0);
|
||
assert.equal(billing.released, 1);
|
||
});
|
||
|
||
test("same evidence + range fingerprints reuse the cached candidate snapshot", async () => {
|
||
const accounting = fakeAccounting({
|
||
persist_agentic_rectification_candidate_v2: () => ({
|
||
...candidateSnapshotFixture(),
|
||
cached: true,
|
||
}),
|
||
});
|
||
const cached = await persistV9Candidate(accounting.client, USER_ID, CASE_ID, {
|
||
engineResultId: "engine-1",
|
||
algorithmVersion: "rectification-v5",
|
||
evidenceFingerprint: "b".repeat(64),
|
||
rangeFingerprint: "c".repeat(64),
|
||
skillVersion: "9.0.0",
|
||
candidateRange: CANDIDATE_RANGE,
|
||
eventContractVersion: "rectification-event-contract-v2",
|
||
policyVersion: "rectification-candidate-policy-v2",
|
||
candidates: [{ candidateId: CANDIDATE_ID, rank: 1, time: "05:02", relativeSupport: 58, tiedMinuteCount: 2 }],
|
||
decisionReceipt: {
|
||
receipt_version: "candidate-decision-receipt-v2",
|
||
policy_version: "rectification-candidate-policy-v2",
|
||
selection_allowed: true,
|
||
acceptance_allowed: true,
|
||
confirmation_allowed: false,
|
||
representative_candidate_id: null,
|
||
overall_confidence: "medium",
|
||
},
|
||
executionLedger: [{ method: "d1-rashi", status: "executed" }],
|
||
});
|
||
assert.equal(cached.cached, true);
|
||
assert.equal(cached.resultId, RESULT_ID);
|
||
const call = accounting.calls.find((item) => item.fn === "persist_agentic_rectification_candidate_v2");
|
||
assert.ok(call);
|
||
assert.equal(call.args.p_evidence_ledger_fingerprint, "b".repeat(64));
|
||
assert.equal(call.args.p_skill_version, "9.0.0");
|
||
assert.equal(call.args.p_event_contract_version, "rectification-event-contract-v2");
|
||
assert.equal(call.args.p_decision_policy_version, "rectification-candidate-policy-v2");
|
||
assert.deepEqual(call.args.p_decision_receipt, cached.decisionReceipt);
|
||
assert.deepEqual(call.args.p_execution_ledger, cached.executionLedger);
|
||
assert.equal("p_selection_allowed" in call.args, false);
|
||
assert.equal("p_confirmation_allowed" in call.args, false);
|
||
assert.equal("p_representative_time" in call.args, false);
|
||
assert.equal("p_margin_percent" in call.args, false);
|
||
});
|
||
|
||
test("accept-candidate requires a server-persisted result; no tool means no minute", async () => {
|
||
const accounting = fakeAccounting({
|
||
...receiptHandlers,
|
||
get_agentic_rectification_case_dossier: () => dossierFixture({ latestResult: null }),
|
||
accept_agentic_rectification_candidate_for_case_v2: () => {
|
||
throw new Error("agentic_rectification_candidate_not_found");
|
||
},
|
||
});
|
||
const tools = createRectificationV9Tools({
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
turnId: TURN_ID,
|
||
accounting: accounting.client as never,
|
||
});
|
||
await assert.rejects(
|
||
(tools["rectification-accept-candidate"] as unknown as { execute(input: unknown): Promise<unknown> }).execute({
|
||
caseId: CASE_ID,
|
||
resultId: RESULT_ID,
|
||
candidateId: CANDIDATE_ID,
|
||
}),
|
||
(error: unknown) => error instanceof Error && error.message.includes("candidate_not_found"),
|
||
);
|
||
});
|
||
|
||
test("new evidence lets the agent choose diagnostics/compare tools autonomously", () => {
|
||
// The tool layer exposes read-diagnostics and compare-candidates; there is
|
||
// no hard-coded orchestration forcing a scan before score.
|
||
const tools = createRectificationV9Tools({
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
turnId: TURN_ID,
|
||
accounting: fakeAccounting({}).client as never,
|
||
});
|
||
assert.ok("rectification-compare-candidates" in tools);
|
||
assert.ok("rectification-read-diagnostics" in tools);
|
||
assert.ok("rectification-offer-candidates" in tools);
|
||
assert.ok(!("rectification-scan" in tools));
|
||
assert.ok(!("rectification-gate" in tools));
|
||
});
|
||
|
||
test("agent construction wires the pinned skill and the ten v9 tools", () => {
|
||
const model = {
|
||
id: "test-model",
|
||
label: "Test",
|
||
description: "",
|
||
creditCost: 1,
|
||
isDefault: true,
|
||
mode: "compatible" as const,
|
||
model: { provider: "openai", name: "gpt-4o-mini", modelId: "gpt-4o-mini" } as never,
|
||
};
|
||
const accounting = fakeAccounting({});
|
||
const agent = getRectificationV9Agent(model, {
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
turnId: TURN_ID,
|
||
accounting: accounting.client as never,
|
||
});
|
||
assert.equal(agent.id, "rectification-v9-test-model");
|
||
assert.ok(agent);
|
||
});
|
||
|
||
test("reply regeneration is a separate Jyotisha agent with only read-case access", () => {
|
||
const model = {
|
||
id: "test-model",
|
||
label: "Test",
|
||
description: "",
|
||
creditCost: 1,
|
||
isDefault: true,
|
||
mode: "compatible" as const,
|
||
model: { provider: "openai", name: "gpt-4o-mini", modelId: "gpt-4o-mini" } as never,
|
||
};
|
||
const accounting = fakeAccounting({});
|
||
const tools = createRectificationV9ReadOnlyTools({
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
turnId: TURN_ID,
|
||
accounting: accounting.client as never,
|
||
});
|
||
assert.deepEqual(Object.keys(tools), ["rectification-read-case"]);
|
||
|
||
const agent = getRectificationV9RegenerationAgent(model, {
|
||
userId: USER_ID,
|
||
caseId: CASE_ID,
|
||
turnId: TURN_ID,
|
||
accounting: accounting.client as never,
|
||
});
|
||
assert.equal(agent.id, "rectification-v9-regeneration-test-model");
|
||
assert.match(agentSource, /这不是新一轮校正/);
|
||
assert.match(agentSource, /只能使用 rectification-read-case/);
|
||
});
|