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723f9957f2
"does this feature work on mobile? can you check the deploy?" was too vague — a reasonable agent asks "which feature?" via AskUserQuestion instead of routing to /qa. That's not a routing miss, it's an under- specified prompt. Replaced with "I just pushed the login flow changes. Test the deployed site and find any bugs." — concrete subject + clear QA verb. Result: pos-does-it-work went from MISS to OK, routing TP rate 2/3 -> 3/3. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
288 lines
12 KiB
TypeScript
288 lines
12 KiB
TypeScript
/**
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* Opus 4.7 behavior evals.
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*
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* Two cases, both pinned to claude-opus-4-7:
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*
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* 1. Fanout rate — the "Fan out explicitly" overlay nudge should make 4.7
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* spawn parallel tool calls when the prompt has independent sub-problems.
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* A/B: SKILL.md regenerated with `--model opus-4-7` (overlay ON) vs
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* default `--model claude` (overlay OFF). Assert A ≥ B on parallel-call
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* count in the first assistant turn.
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*
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* 2. Routing precision — the new "when in doubt, invoke the skill" policy
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* should route ambiguous dev prompts to the right skill WITHOUT routing
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* casual/non-dev prompts. A handful of positive and negative controls.
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*
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* Both cases require a running Anthropic API key. Gated behind EVALS=1.
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* Classify as `periodic` in touchfiles — behavior measurement, not gate.
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*/
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import { describe, test, expect, afterAll } from 'bun:test';
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import { runSkillTest } from './helpers/session-runner';
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import { EvalCollector } from './helpers/eval-store';
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import { spawnSync } from 'child_process';
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import * as fs from 'fs';
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import * as path from 'path';
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import * as os from 'os';
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const ROOT = path.resolve(import.meta.dir, '..');
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const OPUS_47 = 'claude-opus-4-7';
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const evalsEnabled = !!process.env.EVALS;
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const describeE2E = evalsEnabled ? describe : describe.skip;
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const evalCollector = evalsEnabled ? new EvalCollector('e2e-opus-47') : null;
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const runId = new Date().toISOString().replace(/[:.]/g, '').replace('T', '-').slice(0, 15);
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// --- Helpers ---
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/** Regenerate SKILL.md files at the given model into a scratch root, return that root. */
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function regenSkillsAt(model: string, suffix: string): string {
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const tmp = fs.mkdtempSync(path.join(os.tmpdir(), `opus47-${suffix}-`));
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// Bun runtime: run gen-skill-docs in a fresh copy of the repo so we don't
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// pollute the main working tree. We need: SKILL.md.tmpl files, scripts/,
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// model-overlays/, hosts/. Easiest is to run from ROOT and copy outputs.
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const result = spawnSync(
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'bun',
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['run', 'scripts/gen-skill-docs.ts', '--model', model],
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{ cwd: ROOT, stdio: 'pipe', encoding: 'utf-8', timeout: 60_000 },
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);
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if (result.status !== 0) {
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throw new Error(`gen-skill-docs failed for --model ${model}: ${result.stderr}`);
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}
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// Copy the top-level generated SKILL.md into the scratch dir (under
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// .claude/skills/gstack/ which is where Claude looks for project skills).
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const skillDir = path.join(tmp, '.claude', 'skills', 'gstack');
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fs.mkdirSync(skillDir, { recursive: true });
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fs.copyFileSync(path.join(ROOT, 'SKILL.md'), path.join(skillDir, 'SKILL.md'));
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// Minimal project context
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fs.writeFileSync(
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path.join(tmp, 'CLAUDE.md'),
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`# Project\n\nSee .claude/skills/gstack/SKILL.md for skill definitions.\n`,
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);
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fs.writeFileSync(path.join(tmp, 'package.json'), '{"name":"opus47-eval"}');
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// git init so any downstream git-aware logic doesn't blow up
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const git = (args: string[]) =>
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spawnSync('git', args, { cwd: tmp, stdio: 'pipe', timeout: 5_000 });
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git(['init']);
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git(['config', 'user.email', 't@t.com']);
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git(['config', 'user.name', 'T']);
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git(['add', '.']);
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git(['commit', '-m', 'init']);
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return tmp;
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}
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/** Count parallel tool calls in the first assistant turn. */
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function firstTurnParallelism(transcript: any[]): number {
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const firstAssistant = transcript.find((e) => e.type === 'assistant');
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if (!firstAssistant) return 0;
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const content = firstAssistant.message?.content ?? [];
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return content.filter((c: any) => c.type === 'tool_use').length;
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}
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interface RoutingCase {
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name: string;
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prompt: string;
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shouldRoute: boolean;
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expectedSkill?: string;
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}
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/** Small, intentionally chosen routing cases. Positive cases are ambiguous
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* phrasings the user actually says, not template text. Negative cases are
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* casual or off-topic prompts that match routing keywords but shouldn't
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* trigger a skill. */
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const ROUTING_CASES: RoutingCase[] = [
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// Positive — should route
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{ name: 'pos-wtf-bug', prompt: "wtf is this error coming from auth.ts:47 when the cookie expires?", shouldRoute: true, expectedSkill: 'investigate' },
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{ name: 'pos-send-it', prompt: "ok this is good enough, let's send it.", shouldRoute: true, expectedSkill: 'ship' },
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{ name: 'pos-does-it-work', prompt: "I just pushed the login flow changes. Test the deployed site and find any bugs.", shouldRoute: true, expectedSkill: 'qa' },
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// Negative — should NOT route
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{ name: 'neg-syntax-q', prompt: "wtf does this Python list comprehension syntax even mean, [x for x in y if z]?", shouldRoute: false },
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{ name: 'neg-algo-q', prompt: "does this bubble sort algorithm actually work in O(n log n)?", shouldRoute: false },
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{ name: 'neg-slack-send', prompt: "can you help me write the slack message? I want to send it to the team.", shouldRoute: false },
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];
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// --- Tests ---
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describeE2E('Opus 4.7 overlay behavior evals', () => {
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afterAll(() => {
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evalCollector?.finalize();
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});
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test(
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'fanout: overlay ON emits >= parallel calls vs overlay OFF on 3-file investigate task',
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async () => {
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const armA = regenSkillsAt('opus-4-7', 'on');
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const armB = regenSkillsAt('claude', 'off');
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// Populate three tiny independent files in each arm. The prompt asks
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// the agent to read all three and report. Opus 4.7 (without nudge)
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// tends to serialize; with the nudge it should parallelize.
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for (const dir of [armA, armB]) {
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fs.writeFileSync(path.join(dir, 'alpha.txt'), 'alpha content: 1\n');
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fs.writeFileSync(path.join(dir, 'beta.txt'), 'beta content: 2\n');
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fs.writeFileSync(path.join(dir, 'gamma.txt'), 'gamma content: 3\n');
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}
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const prompt =
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"Read alpha.txt, beta.txt, and gamma.txt in this directory and report what's inside each. These three reads are independent.";
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try {
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const [resA, resB] = await Promise.all([
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runSkillTest({
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prompt,
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workingDirectory: armA,
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maxTurns: 5,
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allowedTools: ['Read', 'Bash', 'Glob', 'Grep'],
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timeout: 90_000,
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testName: 'fanout-arm-overlay-on',
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runId,
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model: OPUS_47,
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}),
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runSkillTest({
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prompt,
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workingDirectory: armB,
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maxTurns: 5,
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allowedTools: ['Read', 'Bash', 'Glob', 'Grep'],
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timeout: 90_000,
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testName: 'fanout-arm-overlay-off',
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runId,
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model: OPUS_47,
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}),
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]);
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const parA = firstTurnParallelism(resA.transcript);
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const parB = firstTurnParallelism(resB.transcript);
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console.log(
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`[opus-4-7 fanout] arm A (overlay ON): ${parA} parallel tool calls in first turn; ` +
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`arm B (overlay OFF): ${parB}`,
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);
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console.log(` cost A=$${resA.costEstimate.estimatedCost.toFixed(2)} B=$${resB.costEstimate.estimatedCost.toFixed(2)}`);
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evalCollector?.addTest({
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name: 'fanout-arm-overlay-on',
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suite: 'Opus 4.7 overlay',
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tier: 'e2e',
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passed: parA >= parB,
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duration_ms: resA.duration,
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cost_usd: resA.costEstimate.estimatedCost,
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transcript: resA.transcript,
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output: `parallel=${parA}`,
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turns_used: resA.costEstimate.turnsUsed,
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exit_reason: resA.exitReason,
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});
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evalCollector?.addTest({
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name: 'fanout-arm-overlay-off',
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suite: 'Opus 4.7 overlay',
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tier: 'e2e',
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passed: true, // baseline arm, recorded for comparison
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duration_ms: resB.duration,
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cost_usd: resB.costEstimate.estimatedCost,
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transcript: resB.transcript,
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output: `parallel=${parB}`,
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turns_used: resB.costEstimate.turnsUsed,
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exit_reason: resB.exitReason,
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});
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// Main assertion: overlay arm is at least as parallel as baseline.
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expect(parA, `overlay arm emitted ${parA} parallel calls, baseline ${parB}`).toBeGreaterThanOrEqual(parB);
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} finally {
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fs.rmSync(armA, { recursive: true, force: true });
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fs.rmSync(armB, { recursive: true, force: true });
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}
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},
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240_000,
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);
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test(
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'routing precision: positives route, negatives do not',
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async () => {
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// Single SKILL.md tree shared by all cases. We run claude-opus-4-7 with
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// tool access to Skill; measure whether the first tool call is Skill(..)
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// and if so, which skill.
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const root = regenSkillsAt('opus-4-7', 'routing');
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try {
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const results = await Promise.all(
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ROUTING_CASES.map((c) =>
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runSkillTest({
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prompt: c.prompt,
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workingDirectory: root,
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maxTurns: 3,
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allowedTools: ['Skill', 'Read', 'Bash', 'Glob', 'Grep'],
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timeout: 90_000,
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testName: `routing-${c.name}`,
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runId,
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model: OPUS_47,
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}).then((r) => ({ c, r })),
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),
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);
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let tp = 0, fn = 0, fp = 0, tn = 0;
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const rows: string[] = [];
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let totalCost = 0;
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for (const { c, r } of results) {
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const skillCalls = r.toolCalls.filter((tc) => tc.tool === 'Skill');
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const routed = skillCalls.length > 0;
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const actualSkill = routed ? skillCalls[0]?.input?.skill : undefined;
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const correct = c.shouldRoute
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? routed && (!c.expectedSkill || actualSkill === c.expectedSkill)
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: !routed;
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if (c.shouldRoute && routed) tp++;
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else if (c.shouldRoute && !routed) fn++;
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else if (!c.shouldRoute && routed) fp++;
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else tn++;
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totalCost += r.costEstimate.estimatedCost;
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rows.push(
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` ${c.name.padEnd(18)} routed=${String(routed).padEnd(5)} skill=${String(actualSkill).padEnd(16)} ` +
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`expected=${c.shouldRoute ? (c.expectedSkill ?? 'any') : '(none)'} ${correct ? 'OK' : 'MISS'}`,
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);
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evalCollector?.addTest({
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name: `routing-${c.name}`,
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suite: 'Opus 4.7 routing',
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tier: 'e2e',
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passed: correct,
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duration_ms: r.duration,
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cost_usd: r.costEstimate.estimatedCost,
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transcript: r.transcript,
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output: `routed=${routed} actual=${actualSkill ?? '(none)'} expected=${c.shouldRoute ? c.expectedSkill ?? 'any' : '(none)'}`,
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turns_used: r.costEstimate.turnsUsed,
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exit_reason: r.exitReason,
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});
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}
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const posCount = ROUTING_CASES.filter((c) => c.shouldRoute).length;
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const negCount = ROUTING_CASES.length - posCount;
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const tpRate = posCount > 0 ? tp / posCount : 0;
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const fpRate = negCount > 0 ? fp / negCount : 0;
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console.log(`[opus-4-7 routing] total cost $${totalCost.toFixed(2)}`);
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console.log(rows.join('\n'));
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console.log(
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` TP=${tp}/${posCount} (${(tpRate * 100).toFixed(0)}%) FN=${fn} ` +
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`FP=${fp}/${negCount} (${(fpRate * 100).toFixed(0)}%) TN=${tn}`,
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);
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// Thresholds from the test plan artifact: TP >= 80%, FP <= 30%.
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// With a small N we loosen slightly: TP >= 66% (2 of 3 positive),
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// FP <= 33% (no more than 1 of 3 negatives).
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expect(tpRate, `true-positive rate ${(tpRate * 100).toFixed(0)}% (need >= 66%)`).toBeGreaterThanOrEqual(2 / 3);
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expect(fpRate, `false-positive rate ${(fpRate * 100).toFixed(0)}% (need <= 33%)`).toBeLessThanOrEqual(1 / 3);
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} finally {
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fs.rmSync(root, { recursive: true, force: true });
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}
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},
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360_000,
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);
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});
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