gstack/test/skill-e2e-plan-eng-multi-fi...

97 lines
3.8 KiB
TypeScript

/**
* /plan-eng-review multi-finding batching regression (periodic, paid, real-PTY).
*
* Catches the specific shape of the May 2026 transcript bug that the
* single-finding gate-tier floor test cannot detect: a model that fires
* one AskUserQuestion and then batches the remaining findings into a
* single "## Decisions to confirm" plan write + ExitPlanMode.
*
* Why a separate test from skill-e2e-plan-eng-finding-floor:
* - The gate-tier floor (runPlanSkillFloorCheck) exits on the first AUQ
* render and returns success. A model that fires once-then-batches
* would pass that test trivially.
* - This test uses runPlanSkillCounting at periodic tier (~25 min budget,
* N-AUQ tracking, ceiling-bounded retries) to actually count distinct
* review-phase AUQs and assert the model fires one per finding.
*
* Why a separate test from skill-e2e-plan-eng-finding-count (the existing
* 5-finding count test):
* - The fixture here mirrors the D1-D4 transcript shape (4 findings) and
* the floor matches that exact threshold (3, the [N-1] tolerance band).
* This is the tightest regression test for the original bug class —
* not a band-around-N test, but a "did the agent batch?" test.
*
* Tier: periodic (~25 min, ~$5/run). Sequential by default.
*/
import { describe, test } from 'bun:test';
import * as fs from 'node:fs';
import {
runPlanSkillCounting,
engStep0Boundary,
} from './helpers/claude-pty-runner';
import { FORCING_BATCHING_ENG } from './fixtures/forcing-finding-seeds';
const shouldRun = !!process.env.EVALS && process.env.EVALS_TIER === 'periodic';
const describeE2E = shouldRun ? describe : describe.skip;
const N = 4;
const FLOOR = N - 1; // 3 — agent must fire at least one AUQ per non-batched finding
const PLAN_PATH = '/tmp/gstack-test-plan-eng-batching.md';
describeE2E('/plan-eng-review multi-finding batching regression (periodic)', () => {
test(
`4-finding plan emits >= ${FLOOR} review-phase AskUserQuestions (no batching)`,
async () => {
try {
fs.rmSync(PLAN_PATH, { force: true });
} catch {
/* best-effort */
}
const obs = await runPlanSkillCounting({
skillName: 'plan-eng-review',
slashCommand: '/plan-eng-review',
followUpPrompt: FORCING_BATCHING_ENG,
isLastStep0AUQ: engStep0Boundary,
reviewCountCeiling: N + 3, // hard cap above floor + tolerance
cwd: process.cwd(),
timeoutMs: 1_500_000, // 25 min
env: { QUESTION_TUNING: 'false', EXPLAIN_LEVEL: 'default' },
});
try {
if (!['plan_ready', 'completion_summary', 'ceiling_reached'].includes(obs.outcome)) {
throw new Error(
`multi-finding batching test FAILED: outcome=${obs.outcome}\n` +
`step0=${obs.step0Count} review=${obs.reviewCount} elapsed=${obs.elapsedMs}ms\n` +
`--- evidence (last 3KB) ---\n${obs.evidence}`,
);
}
if (obs.reviewCount < FLOOR) {
throw new Error(
`BATCHING REGRESSION: reviewCount=${obs.reviewCount} < FLOOR=${FLOOR}.\n` +
`Agent surfaced fewer review-phase AUQs than findings — this is the\n` +
`May 2026 transcript bug shape: model batched multiple findings into\n` +
`a single plan write + ExitPlanMode instead of asking one per finding.\n` +
`Review-phase fingerprints:\n` +
obs.fingerprints
.filter((f) => !f.preReview)
.map((f) => ` - "${f.promptSnippet.slice(0, 80)}"`)
.join('\n') +
`\n--- evidence (last 3KB) ---\n${obs.evidence}`,
);
}
} finally {
try {
fs.rmSync(PLAN_PATH, { force: true });
} catch {
/* best-effort */
}
}
},
1_700_000,
);
});