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* feat(benchmark): particle-1 and DeepSeek V4.1 Flash awareness, gateway provider, preregistered model panel (GSTA-173) Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs(evals): particle-1 model panel results, run 2026-10-30-0105 (GSTA-173) Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * test(model-panel): name the task field id (credential scanner false positive on key) Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * test: gateway reports a missing OpenRouter key first; register the model panel in the paid count and test-of-test baseline Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * test: run the fake claude through bun so the gateway provider test passes on Windows Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * fix: pre-landing review fixes Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * fix: gateway benchmark runs load no Claude Code settings A settings.json env block's ANTHROPIC_API_KEY was sent to the OpenRouter base URL as x-api-key; --setting-sources '' loads no settings source. Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs: name particle-1 and DeepSeek V4.1 Flash in the /benchmark-models row Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * chore: changelog fragment and TODOS for the particle-1 model panel Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> * docs: name particle-1 and DeepSeek V4.1 Flash in the AGENTS.md /benchmark-models row Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com> --------- Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com>
133 lines
6.6 KiB
TypeScript
133 lines
6.6 KiB
TypeScript
/**
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* Model panel (periodic, paid): particle-1, its open-weight base DeepSeek V4.1
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* Flash, Sonnet 5.5 and Opus 5.5 each run the same five gstack-shaped tasks
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* PANEL_TRIALS times in Claude Code. Each cell is scored by a hidden
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* deterministic check; gateway arms reach their models through OpenRouter
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* with no Anthropic credential in the child env. A research instrument that
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* gates nothing: assertions cover the harness, never which model wins.
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*
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* Spend: every cell reserves its arm's worst case in a shared ledger
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* (<out>/spend.json, cap PANEL_SPEND_CAP_USD) before it starts and settles to
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* the measured cost after, so a staged run (one task first, then the rest)
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* stays under one cap; a refused reservation stops the panel with
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* STOP: reason=budget_exhausted and keeps every row already written, and a
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* cell that died without usage stays charged at its reservation (unknown).
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* Rows append to <out>/rows.jsonl; <out>/summary.json holds the per-arm
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* summary and the preregistered suggestion line. <out> is
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* GSTACK_MODEL_PANEL_OUT, defaulting beside the eval store.
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*/
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import { describe, test, expect, afterAll } from 'bun:test';
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import * as fs from 'fs';
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import * as path from 'path';
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import { runSkillTest } from './helpers/session-runner';
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import { runId, selectedTests } from './helpers/e2e-helpers';
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import { describeE2ETier } from './helpers/e2e-gate';
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import { getProjectEvalDir } from './helpers/eval-store';
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import { reserve, settle, readLedger, setCap, summarize as spendSummary, renderSpend, SpendCapExceeded } from '../lib/spend-ledger';
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import {
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PANEL_ARMS, PANEL_TASKS, PANEL_TRIALS, PANEL_MAX_TURNS, PANEL_TIMEOUT_MS, PANEL_CONCURRENCY, PANEL_ALLOWED_TOOLS, PANEL_SPEND_CAP_USD,
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setupCell, runCheck, armEnv, usageFromTranscript, cellCostUsd, classifyCell, summarize, suggestionLine,
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type PanelArm, type PanelRow, type PanelTask,
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} from './helpers/model-panel-harness';
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import { SKILL_NAME } from './helpers/arm-benchmark-harness';
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const OUT = process.env.GSTACK_MODEL_PANEL_OUT || path.join(path.dirname(getProjectEvalDir()), 'model-panel');
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const ROWS = path.join(OUT, 'rows.jsonl');
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const SPEND = path.join(OUT, 'spend.json');
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let stopped: string | null = null;
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function consulted(result: Awaited<ReturnType<typeof runSkillTest>>): boolean {
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return result.toolCalls.some((tc) => tc.tool === 'Skill' && String((tc.input as { skill?: unknown })?.skill ?? '').includes(SKILL_NAME));
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}
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async function runCell(task: PanelTask, arm: PanelArm, trial: number): Promise<PanelRow | null> {
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if (stopped) return null;
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const attempt = task.id + ':' + arm.id + ':' + trial + ':' + runId;
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try {
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reserve(SPEND, attempt, arm.reserveUsd, { cap: PANEL_SPEND_CAP_USD, label: arm.model });
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} catch (err) {
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if (!(err instanceof SpendCapExceeded)) throw err;
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stopped = err.message;
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process.stderr.write('STOP: reason=budget_exhausted ' + err.message + '\n');
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return null;
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}
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const dirs = setupCell(task, arm.id + '-' + trial);
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const started = Date.now();
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let settled = false;
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try {
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const result = await runSkillTest({
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prompt: task.ticket,
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workingDirectory: dirs.dir,
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maxTurns: PANEL_MAX_TURNS,
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allowedTools: PANEL_ALLOWED_TOOLS,
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timeout: PANEL_TIMEOUT_MS,
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testName: task.id + '-' + arm.id + '-t' + trial,
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runId,
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model: arm.model,
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env: armEnv(arm),
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});
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const usage = usageFromTranscript(result.transcript);
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const costUsd = usage ? cellCostUsd(arm, usage) : null;
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settle(SPEND, attempt, costUsd ?? 'unknown');
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settled = true;
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const cls = classifyCell(arm, result.exitReason, usage);
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const scored = cls.verdict === 'scored' ? runCheck(task, dirs.dir) : null;
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const row: PanelRow = {
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task: task.id, arm: arm.id, model: arm.model, route: arm.route, trial,
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verdict: scored ? (scored.pass ? 'pass' : 'fail') : 'infra',
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reason: scored ? scored.detail : (cls as { reason: string }).reason,
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exitReason: result.exitReason, costUsd, usage, durationMs: Date.now() - started, consulted: consulted(result),
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};
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fs.appendFileSync(ROWS, JSON.stringify({ runId, ...row }) + '\n');
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console.log('[model-panel] ' + task.id + ' ' + arm.id + ' t' + trial + ' ' + row.verdict + ' $' + (costUsd ?? 0).toFixed(4) + ' turns=' + (usage?.turns ?? 0) + ' ' + row.reason);
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return row;
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} finally {
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if (!settled) settle(SPEND, attempt, 'unknown');
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fs.rmSync(dirs.dir, { recursive: true, force: true });
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}
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}
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async function pool<T>(jobs: Array<() => Promise<T>>, limit: number): Promise<T[]> {
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const out: T[] = new Array(jobs.length);
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let next = 0;
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await Promise.all(Array.from({ length: Math.min(limit, jobs.length) }, async () => {
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while (next < jobs.length) {
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const i = next++;
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out[i] = await jobs[i]();
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}
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}));
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return out;
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}
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const describePaid = describeE2ETier('periodic');
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for (const task of PANEL_TASKS) {
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const selected = selectedTests === null || selectedTests.includes(task.id);
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(selected ? describePaid : describe.skip)('Model panel: ' + task.id, () => {
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test(task.id, async () => {
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fs.mkdirSync(OUT, { recursive: true });
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if (readLedger(SPEND).cap_usd === null) setCap(SPEND, PANEL_SPEND_CAP_USD);
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const jobs = PANEL_ARMS.flatMap((arm) => Array.from({ length: PANEL_TRIALS }, (_, i) => () => runCell(task, arm, i + 1)));
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const rows = (await pool(jobs, PANEL_CONCURRENCY)).filter((r): r is PanelRow => r !== null);
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expect(stopped, 'panel stopped: ' + stopped).toBeNull();
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expect(rows).toHaveLength(PANEL_ARMS.length * PANEL_TRIALS);
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for (const row of rows) expect(['pass', 'fail', 'infra']).toContain(row.verdict);
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}, Math.ceil((PANEL_ARMS.length * PANEL_TRIALS) / PANEL_CONCURRENCY) * PANEL_TIMEOUT_MS + 300_000);
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});
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}
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afterAll(() => {
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if (!fs.existsSync(ROWS)) return;
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const rows = fs.readFileSync(ROWS, 'utf-8').trim().split('\n').filter(Boolean).map((l) => JSON.parse(l) as PanelRow);
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const summaries = summarize(rows);
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const suggestion = suggestionLine(summaries, new Date().toISOString().slice(0, 10));
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const spend = spendSummary(readLedger(SPEND));
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fs.writeFileSync(path.join(OUT, 'summary.json'), JSON.stringify({ rows: rows.length, summaries, suggestion, spend }, null, 2) + '\n');
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console.log('\n[model-panel] research instrument; gates nothing.');
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for (const s of summaries) {
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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');
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}
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console.log(' suggestion: ' + (suggestion.line ?? 'none (' + suggestion.reason + ')'));
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console.log(' ' + renderSpend(spend));
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});
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