/** * Model panel (periodic, paid): particle-1, its open-weight base DeepSeek V4.1 * Flash, Sonnet 5.5 and Opus 5.5 each run the same five gstack-shaped tasks * PANEL_TRIALS times in Claude Code. Each cell is scored by a hidden * deterministic check; gateway arms reach their models through OpenRouter * with no Anthropic credential in the child env. A research instrument that * gates nothing: assertions cover the harness, never which model wins. * * Spend: every cell reserves its arm's worst case in a shared ledger * (/spend.json, cap PANEL_SPEND_CAP_USD) before it starts and settles to * the measured cost after, so a staged run (one task first, then the rest) * stays under one cap; a refused reservation stops the panel with * STOP: reason=budget_exhausted and keeps every row already written, and a * cell that died without usage stays charged at its reservation (unknown). * Rows append to /rows.jsonl; /summary.json holds the per-arm * summary and the preregistered suggestion line. is * GSTACK_MODEL_PANEL_OUT, defaulting beside the eval store. */ import { describe, test, expect, afterAll } from 'bun:test'; import * as fs from 'fs'; import * as path from 'path'; import { runSkillTest } from './helpers/session-runner'; import { runId, selectedTests } from './helpers/e2e-helpers'; import { describeE2ETier } from './helpers/e2e-gate'; import { getProjectEvalDir } from './helpers/eval-store'; import { reserve, settle, readLedger, setCap, summarize as spendSummary, renderSpend, SpendCapExceeded } from '../lib/spend-ledger'; import { PANEL_ARMS, PANEL_TASKS, PANEL_TRIALS, PANEL_MAX_TURNS, PANEL_TIMEOUT_MS, PANEL_CONCURRENCY, PANEL_ALLOWED_TOOLS, PANEL_SPEND_CAP_USD, setupCell, runCheck, armEnv, usageFromTranscript, cellCostUsd, classifyCell, summarize, suggestionLine, type PanelArm, type PanelRow, type PanelTask, } from './helpers/model-panel-harness'; import { SKILL_NAME } from './helpers/arm-benchmark-harness'; const OUT = process.env.GSTACK_MODEL_PANEL_OUT || path.join(path.dirname(getProjectEvalDir()), 'model-panel'); const ROWS = path.join(OUT, 'rows.jsonl'); const SPEND = path.join(OUT, 'spend.json'); let stopped: string | null = null; function consulted(result: Awaited>): boolean { return result.toolCalls.some((tc) => tc.tool === 'Skill' && String((tc.input as { skill?: unknown })?.skill ?? '').includes(SKILL_NAME)); } async function runCell(task: PanelTask, arm: PanelArm, trial: number): Promise { if (stopped) return null; const attempt = task.id + ':' + arm.id + ':' + trial + ':' + runId; try { reserve(SPEND, attempt, arm.reserveUsd, { cap: PANEL_SPEND_CAP_USD, label: arm.model }); } catch (err) { if (!(err instanceof SpendCapExceeded)) throw err; stopped = err.message; process.stderr.write('STOP: reason=budget_exhausted ' + err.message + '\n'); return null; } const dirs = setupCell(task, arm.id + '-' + trial); const started = Date.now(); let settled = false; try { const result = await runSkillTest({ prompt: task.ticket, workingDirectory: dirs.dir, maxTurns: PANEL_MAX_TURNS, allowedTools: PANEL_ALLOWED_TOOLS, timeout: PANEL_TIMEOUT_MS, testName: task.id + '-' + arm.id + '-t' + trial, runId, model: arm.model, env: armEnv(arm), }); const usage = usageFromTranscript(result.transcript); const costUsd = usage ? cellCostUsd(arm, usage) : null; settle(SPEND, attempt, costUsd ?? 'unknown'); settled = true; const cls = classifyCell(arm, result.exitReason, usage); const scored = cls.verdict === 'scored' ? runCheck(task, dirs.dir) : null; const row: PanelRow = { task: task.id, arm: arm.id, model: arm.model, route: arm.route, trial, verdict: scored ? (scored.pass ? 'pass' : 'fail') : 'infra', reason: scored ? scored.detail : (cls as { reason: string }).reason, exitReason: result.exitReason, costUsd, usage, durationMs: Date.now() - started, consulted: consulted(result), }; fs.appendFileSync(ROWS, JSON.stringify({ runId, ...row }) + '\n'); console.log('[model-panel] ' + task.id + ' ' + arm.id + ' t' + trial + ' ' + row.verdict + ' $' + (costUsd ?? 0).toFixed(4) + ' turns=' + (usage?.turns ?? 0) + ' ' + row.reason); return row; } finally { if (!settled) settle(SPEND, attempt, 'unknown'); fs.rmSync(dirs.dir, { recursive: true, force: true }); } } async function pool(jobs: Array<() => Promise>, limit: number): Promise { const out: T[] = new Array(jobs.length); let next = 0; await Promise.all(Array.from({ length: Math.min(limit, jobs.length) }, async () => { while (next < jobs.length) { const i = next++; out[i] = await jobs[i](); } })); return out; } const describePaid = describeE2ETier('periodic'); for (const task of PANEL_TASKS) { const selected = selectedTests === null || selectedTests.includes(task.id); (selected ? describePaid : describe.skip)('Model panel: ' + task.id, () => { test(task.id, async () => { fs.mkdirSync(OUT, { recursive: true }); if (readLedger(SPEND).cap_usd === null) setCap(SPEND, PANEL_SPEND_CAP_USD); const jobs = PANEL_ARMS.flatMap((arm) => Array.from({ length: PANEL_TRIALS }, (_, i) => () => runCell(task, arm, i + 1))); const rows = (await pool(jobs, PANEL_CONCURRENCY)).filter((r): r is PanelRow => r !== null); expect(stopped, 'panel stopped: ' + stopped).toBeNull(); expect(rows).toHaveLength(PANEL_ARMS.length * PANEL_TRIALS); for (const row of rows) expect(['pass', 'fail', 'infra']).toContain(row.verdict); }, Math.ceil((PANEL_ARMS.length * PANEL_TRIALS) / PANEL_CONCURRENCY) * PANEL_TIMEOUT_MS + 300_000); }); } afterAll(() => { if (!fs.existsSync(ROWS)) return; const rows = fs.readFileSync(ROWS, 'utf-8').trim().split('\n').filter(Boolean).map((l) => JSON.parse(l) as PanelRow); const summaries = summarize(rows); const suggestion = suggestionLine(summaries, new Date().toISOString().slice(0, 10)); const spend = spendSummary(readLedger(SPEND)); fs.writeFileSync(path.join(OUT, 'summary.json'), JSON.stringify({ rows: rows.length, summaries, suggestion, spend }, null, 2) + '\n'); console.log('\n[model-panel] research instrument; gates nothing.'); for (const s of summaries) { console.log(' ' + s.label.padEnd(20) + ' ' + s.passes + '/' + s.completed + ' passed (95% ' + (s.low * 100).toFixed(0) + '-' + (s.high * 100).toFixed(0) + '%), infra ' + s.infra + ', $' + s.costPerTaskUsd.toFixed(4) + ' per task'); } console.log(' suggestion: ' + (suggestion.line ?? 'none (' + suggestion.reason + ')')); console.log(' ' + renderSpend(spend)); });