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* feat: add a restricted and supervised Claude Code runner Preserve configured authentication and models while enforcing tool access, strict completion JSON, bounded output and process cleanup. Cover argv, failure handling, session metadata and Windows process containment. * feat: route outside reviews by harness and migrate wrapper installs Use Claude Code from Codex and Codex from other supported hosts, with shared invocation rendering, positive gate validation and per-phase provenance. Rename /claude to /claude-code, repair managed shared and copied installations safely, and generate native Kiro skills. Add installed-workflow, failure-injection and live cross-harness regression coverage. * test: recognize CEO mode labels without terminal spacing The paid workflow rendered SCOPEEXPANSION at option 4, but its driver required a literal space. Match the leading mode title without cursor-spacing artifacts and ignore adjacent preview text. Preserve missing-target failures and downstream posture assertions. * test: isolate plan-count fixtures before starting review workflows Seed the complete test plan in a private git repository before launching Claude, so a bare slash command cannot review the live workspace while a delayed fixture message remains queued. Preserve count thresholds, parsers and budgets. Add initial-context and installed-discovery tests, and retain startup/terminal diagnostics on failed evaluations. * test: stabilize review fixtures and Claude eval startup Preserve source boundaries in workflow judge inputs, isolate CEO mode plans, and wait for interactive trust input readiness. Keep startup failure evidence and retain existing models, budgets, and assertions. Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: classify collapsed review modes and isolate seeded findings Keep review questions out of the setup count when terminal cursor positioning removes spaces. State existing webhook safeguards so the five-finding control measures its seeded defects without accidental extra security and concurrency gaps. Preserve question bands and the paired control. Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: isolate browser daemon state across free shards Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: stabilize native review counting and interactive navigation Co-Authored-By: OpenAI Codex <noreply@openai.com> * chore: prepare v1.82.0.0 release Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: eliminate browser and process-cleanup test flakes Pin every CI surface to Bun 1.4.0 to avoid extra-stdio finalizers closing reused live sockets. Add an isolated GC/listener regression that fails on Bun 1.3.13, and prevent coordinated rollback to an affected CI runtime. Check renderer cleanup against the render's own staging directory so concurrent renders cannot invalidate the assertion. Make the no-pgrep process-tree walk tolerate disappearing /proc entries, and synchronize its test fixture through child readiness and pipe EOF instead of sleeps. Validation: 9,157 passed, 31 skipped, zero failures across 556 files with retries disabled. Build, all-host generation freshness, and skill checks passed. All three races have failing-before/passing-after regressions. * fix: count completed native review questions in evals * fix: drive review navigation from confirmed native choices * fix: require complete section-loading eval reports * test: isolate telemetry HTTP transport from local assertions * fix: keep review input on the active native question * test: let tunnel revocation daemon choose an available port * test: allocate available ports for pairing and watchdog fixtures * fix: stabilize planning eval navigation and phase reporting * test: isolate installed runtime paths in planning evals * test: stabilize review evidence and concurrent refresh fixtures * fix: resolve design findings before editing the plan * fix: honor and persist disabled outside plan reviews * fix: preserve planning decisions and terminal evidence Load installed host reviews at autoplan phase entry and wait for completed reviewers and saved artifacts. Reuse approved remedies while preserving individual finding decisions. Drive interactive evals from the current terminal viewport, bind native questions across scrolling, and require complete native report evidence. Cover captured stale menus, permission lifecycles, setup classification, and disabled-review tool availability with deterministic regressions. Advance release metadata and the upgrade migration to the unclaimed 1.83.0.0 slot. * fix: drive native review questions and preserve current plans Use the native single-choice keyboard protocol and current terminal viewport, with per-question navigation inside packets and completed-call coverage. Keep permissions, multi-select menus, and Submit controls distinct. Send Autoplan reviewers the amended implementation plan, keep its review record separate, and supply retained application contracts in the chain fixture. Clarify individual DevEx decisions and complete CEO fix options; use one active plan destination for the section-loading report. * fix: preserve complete plan-review decisions * fix: recognize native plan dialogs and reviewer controls * fix: preserve review decisions and phase completion * fix: recognize completed reviews without losing findings * fix: preserve review continuity and native eval completion * test: fix native review completion and eval retry isolation * test: handle native review menus and complete eval fixtures * test: fix native review setup, completion, and isolation failures * test: limit native skill discovery to runtime assets * fix: bind Autoplan reviews to full ordered phase inputs * test: fix planning eval routing, counting, and timeout handling * chore: advance queued release to v1.84.0.0 * fix: preserve complete review inputs and planning decisions * fix: reconcile review approvals and preserve phase obligations * fix: preserve review obligations and unblock eval permissions Carry recorded Autoplan requirements into blind phase inputs, require Eng review approvals before exit, and exercise combined asynchronous flows in CEO reviews. Correct native finding and handoff classification and unblock repeated report edits using scoped request identities. * fix: retain plan requirements and complete native review dialogs * fix: complete native review prompts and retain plan references * fix: preserve review inputs and classify native eval evidence * fix: check competing completion orders in CEO reviews * fix: recognize review decisions and require phase methodology Require the current phase methodology before Autoplan snapshots. Correct substantive decision, closed handoff, and cache-finding classification, and honor the recommended implementation approach in native review dialogs. Add captured-transcript regressions without changing review thresholds, provider models, retries, or deadlines. * test: bind native review decisions and close completed handoffs * fix: complete review dialogs and verify methodology delivery * fix: preserve review evidence and unblock native eval prompts * fix: handle native review question completions * fix: recognize native review narration and controls * fix: count native review decisions and isolate eval fixtures * test: verify seeded review coverage and current artifact permissions * test: isolate model and brain-aware skill renders * fix: repair native workflow evaluation and clarify review steps * fix: stabilize workflow eval evidence and review guidance * test: repair native workflow observation and fixture isolation * fix: recognize completed workflow evidence and owned skill reads * test: repair seeded workflow delivery and completion evidence * test: recognize current review evidence across native forms * test: handle native review variants and permission redraws * fix: honor review preferences and recognize native eval evidence * test: recognize completed review decisions and queued permissions * test: match current review contracts and partial-line edits * test: recognize completed workflow evidence and bounded human waits * fix: preserve review entry gates and native eval interactions * fix: recognize native workflow evidence and preserve review gates * test: recognize current review evidence and preconfigure workflow fixtures * test: recognize completed review findings and scoped artifact permissions * fix: stabilize native workflow review and permission evidence * fix: recognize current review evidence and scoped edit confirmations Clarify Design and engineering review entry instructions and Design scoring. Recognize required legacy coverage and public Autoplan completion recaps. Bind the pending Edit confirmation to its exact file, ordered digest, and one-request approval when a preceding command display remains visible. Keep reviews within their existing size limits and preserve scope gates when extracting workflow fixtures from either supported preamble header. Keep failure outcomes, review thresholds, provider choices, and eval budgets. * fix: recover review workflow progress and eval evidence * fix: recognize valid review evidence and scope selection * test: fix review evidence parsing and repeated artifact prompts * test: recognize valid review decisions and pending native cards * fix(plan-eng-review): keep final navigation consistent with approved tasks * test: recognize valid review evidence and bind legacy diff requests * fix: stabilize review eval evidence and harness repair guidance * docs: update project documentation for v1.85.0.0 Co-Authored-By: OpenAI Codex <noreply@openai.com> * test: fix Windows CI fixtures and credential scan Rebase captured JSON values and filesystem evidence using the appropriate path convention. Compile native fake CLIs on Windows and synchronize pipe holder readiness, with cleanup retained when assertions fail. Assemble synthetic credential fixtures at runtime so the added-line scan keeps enforcing the same gate without flagging its own rejection controls. Discover generated skills directly for the empty-find regression check, avoiding a recursive scan through saved evaluation artifacts and dependencies. * fix: preserve source renders on Windows Compare canonical generator paths using native separators so an output sidecar pointing at the source cannot overwrite its skill or metadata. Keep the regression fixture isolated from the real checkout and expose freshness diagnostics before asserting subprocess status. Detach Windows drain-test pipe holders from the fake provider's automatic child cleanup while preserving the enclosing runner job and its assertions. * fix: clarify outside review fallback and CEO decisions Render one applicable own-harness fallback path and retain native review, disabled policy, and missing-coverage semantics. Align report field names and mode labels, and make the existing per-cut scope approval explicit. Regenerate skill outputs and keep the workflow judge's model, thresholds, and retry policy unchanged. * chore: move release to free version slot (v1.86.0.0) PR #2852 now claims v1.85.0.0. Align the release metadata and rename migration so upgrades from that version still receive it. Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: include engineering review prerequisites and restore branch context * fix: recognize coverage diagrams and clarify design review instructions * fix: preserve file identities and join Windows test processes --------- Co-authored-by: OpenAI Codex <noreply@openai.com>
320 lines
13 KiB
TypeScript
320 lines
13 KiB
TypeScript
/**
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* E2E: /office-hours brain-writeback path under fake gbrain CLI.
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*
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* The matched-pair check for v1.50.0.0's "brain-aware planning actually
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* works under Claude Code" headline: prove that when a user runs
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* /office-hours with gbrain on PATH, the agent actually calls
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* `gbrain put office-hours/<slug>` with valid frontmatter.
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*
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* Approach:
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* 1. Render brain-aware skills into isolated staging with --respect-detection
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* against a temp GSTACK_HOME and --link-root pointing at the workdir.
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* Shared repository outputs remain untouched throughout generation.
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* 2. Copy the office-hours skeleton and all lazy sections into the workdir,
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* then discard staging. Also copy docs/gbrain-write-surfaces.md so the
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* agent can read the template on demand.
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* 3. Write a fake `gbrain` shell script into workdir/bin/ with robust
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* argv quoting (printf %q) so heredoc payloads in --content survive
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* shell-to-shell. The fake logs every invocation + writes payloads
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* to a per-slug file for inspection.
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* 4. Run /office-hours via runSkillTest with workdir/bin/ first on PATH.
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* Feed a deterministic founder pitch + auto-decide instructions.
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* 5. Assert the argv log contains `gbrain put office-hours/<slug>`, the
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* payload file exists with valid YAML frontmatter, and entity stubs
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* were created.
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*
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* Periodic tier (~$0.50-1/run via claude -p, matches nearby
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* setup-gbrain-path4-* tests at touchfiles.ts:496-498).
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*
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* NOT verified by this test (out of scope, owned by docs/gbrain-write-surfaces.md):
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* - That gbrain itself persists what `gbrain put` is told (gbrain's
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* own contract)
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* - That `.gbrain-source` doesn't re-route writes (gbrain's contract)
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* - Source-targeting (no way to fake source resolution in a stub CLI)
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*/
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import { describe, test, expect, beforeAll, afterAll } from 'bun:test';
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import { CAPTURE_LONG_MS } from './helpers/eval-budgets';
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import { execFileSync, spawnSync } from 'child_process';
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import {
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chmodSync,
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copyFileSync,
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existsSync,
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mkdirSync,
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mkdtempSync,
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readFileSync,
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readdirSync,
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rmSync,
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writeFileSync,
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} from 'fs';
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import { tmpdir } from 'os';
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import { join } from 'path';
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import { runSkillTest } from './helpers/session-runner';
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import {
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ROOT,
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runId,
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describeIfSelected,
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testConcurrentIfSelected,
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logCost,
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recordE2E,
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createEvalCollector,
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} from './helpers/e2e-helpers';
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const evalCollector = createEvalCollector('e2e-office-hours-brain-writeback');
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describeIfSelected(
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'Office Hours Brain Writeback E2E',
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['office-hours-brain-writeback'],
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() => {
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let workDir: string;
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let callsLogPath: string;
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let payloadDir: string;
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beforeAll(() => {
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workDir = mkdtempSync(join(tmpdir(), 'skill-e2e-brain-writeback-'));
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const run = (cmd: string, args: string[]) =>
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spawnSync(cmd, args, { cwd: workDir, stdio: 'pipe', timeout: 5000 });
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run('git', ['init', '-b', 'main']);
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run('git', ['config', 'user.email', 'test@test.com']);
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run('git', ['config', 'user.name', 'Test']);
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// Copy the founder pitch fixture into the workdir.
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const briefSrc = join(
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ROOT,
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'test',
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'fixtures',
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'office-hours-brain-writeback',
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'brief.md',
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);
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copyFileSync(briefSrc, join(workDir, 'pitch.md'));
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// Render outside ROOT. Lazy section links must point at workDir, where
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// the selected brain-aware copies survive staging cleanup.
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const tmpHome = mkdtempSync(join(tmpdir(), 'gbrain-detect-home-'));
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writeFileSync(
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join(tmpHome, 'gbrain-detection.json'),
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JSON.stringify({
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gbrain_local_status: 'ok',
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gbrain_on_path: true,
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gbrain_version: 'test-0.41.0',
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}),
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);
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const outDir = join(tmpHome, 'rendered');
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const skillPath = join(outDir, 'office-hours', 'SKILL.md');
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const sectionPath = join(outDir, 'office-hours', 'sections', 'design-and-handoff.md');
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try {
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execFileSync(
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'bun',
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[
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'run',
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'scripts/gen-skill-docs.ts',
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'--host',
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'claude',
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'--respect-detection',
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'--out-dir', outDir,
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'--link-root', workDir,
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],
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{
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// LIVE-REPO CWD: ROOT supplies templates; --out-dir owns all writes.
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cwd: ROOT,
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env: { ...process.env, GSTACK_HOME: tmpHome },
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stdio: ['ignore', 'pipe', 'pipe'],
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timeout: 60_000,
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},
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);
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const hasSection = existsSync(sectionPath);
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const brainAwareSkill = readFileSync(skillPath, 'utf-8');
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const brainAwareSection = hasSection ? readFileSync(sectionPath, 'utf-8') : '';
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if (!(brainAwareSkill + brainAwareSection).includes('gbrain put "office-hours/')) {
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throw new Error(
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'Regenerated office-hours skeleton+section does not contain gbrain put block. ' +
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'Detection override may be broken — see test/gbrain-detection-override.test.ts.',
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);
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}
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mkdirSync(join(workDir, 'office-hours'), { recursive: true });
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writeFileSync(join(workDir, 'office-hours', 'SKILL.md'), brainAwareSkill);
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if (hasSection) {
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const sectionDir = join(outDir, 'office-hours', 'sections');
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const localSectionDir = join(workDir, 'office-hours', 'sections');
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mkdirSync(localSectionDir, { recursive: true });
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for (const entry of readdirSync(sectionDir, { withFileTypes: true })) {
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if (entry.isFile() && entry.name.endsWith('.md')) {
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copyFileSync(join(sectionDir, entry.name), join(localSectionDir, entry.name));
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}
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}
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}
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} finally {
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// The copied skeleton points to workDir, never this removed staging tree.
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rmSync(tmpHome, { recursive: true, force: true });
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}
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// Copy docs/gbrain-write-surfaces.md so the compact resolver block's
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// on-demand reference resolves (the agent may read it for the full
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// template; we don't require this read but make it available).
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const docsSrc = join(ROOT, 'docs', 'gbrain-write-surfaces.md');
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const docsDst = join(workDir, 'docs', 'gbrain-write-surfaces.md');
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mkdirSync(join(workDir, 'docs'), { recursive: true });
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copyFileSync(docsSrc, docsDst);
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// Set up the fake gbrain CLI with robust argv quoting + payload capture.
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callsLogPath = join(workDir, 'gbrain-calls.log');
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payloadDir = join(workDir, 'gbrain-payloads');
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mkdirSync(payloadDir, { recursive: true });
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const binDir = join(workDir, 'bin');
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mkdirSync(binDir, { recursive: true });
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const fakeGbrain = `#!/bin/bash
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# Fake gbrain CLI for E2E test. Logs every invocation with shell-safe quoting
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# (printf %q) so --content "$(cat <<'EOF' ... EOF)" payloads survive intact.
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{ printf 'gbrain'; for a in "$@"; do printf ' %q' "$a"; done; printf '\\n'; } \\
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>> "${callsLogPath}"
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case "$1" in
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--version) echo "gbrain test-0.41.0"; exit 0 ;;
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search) echo "[]"; exit 0 ;;
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get_page) echo ""; exit 0 ;;
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put)
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SLUG="$2"
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shift 2
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while [ -n "$1" ]; do
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if [ "$1" = "--content" ]; then
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PAYLOAD_DIR="${payloadDir}"
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mkdir -p "$PAYLOAD_DIR/$(dirname "$SLUG")"
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printf '%s' "$2" > "$PAYLOAD_DIR/$SLUG.md"
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break
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fi
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shift
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done
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exit 0
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;;
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esac
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exit 0
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`;
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const fakePath = join(binDir, 'gbrain');
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writeFileSync(fakePath, fakeGbrain);
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chmodSync(fakePath, 0o755);
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run('git', ['add', '.']);
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run('git', ['commit', '-m', 'fixture']);
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});
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afterAll(() => {
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try {
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rmSync(workDir, { recursive: true, force: true });
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} catch {
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// best effort
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}
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});
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testConcurrentIfSelected(
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'office-hours-brain-writeback',
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async () => {
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const result = await runSkillTest({
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prompt: `Read office-hours/SKILL.md for the workflow.
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Read pitch.md — that's a founder pitch coming to office hours. Select Startup Mode. Skip any AskUserQuestion — this is non-interactive; auto-decide the recommended option for any question.
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For the diagnostic, assume the founder confirmed Q1 (strongest evidence = "230 from a single tweet + 51 paying creators in 6 weeks"), Q2 (status quo = "creators write ad-hoc checks or use opaque Patreon-style platforms"), and Q3 (forcing question already asked).
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Generate the design doc per Phase 5. The feature-slug value to substitute into the SAVE_RESULTS template's \`<feature-slug>\` placeholder is exactly 'pixel-fund' (no path prefix — the template already provides the prefix). The \`gbrain\` binary is on PATH at ${workDir}/bin/gbrain. Apply the SAVE_RESULTS template literally: the slug should land at \`<prefix>/pixel-fund\` per the resolver shape, with the actual design doc markdown body in the --content payload. Then enrich entity stubs for any named people or companies mentioned in the pitch.
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This is a test of the brain-writeback path. Do NOT skip the gbrain save step under any circumstance — the runtime guard ("skip if gbrain not on PATH") does NOT apply here because gbrain IS available. Do NOT explore gbrain --help; follow the SAVE_RESULTS template's exact CLI shape. If you encounter any AskUserQuestion, auto-decide recommended.`,
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workingDirectory: workDir,
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maxTurns: 12,
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timeout: CAPTURE_LONG_MS,
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testName: 'office-hours-brain-writeback',
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runId,
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model: 'claude-sonnet-4-6',
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extraEnv: {
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PATH: `${join(workDir, 'bin')}:${process.env.PATH || ''}`,
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},
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});
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logCost('/office-hours (BRAIN WRITEBACK)', result);
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recordE2E(
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evalCollector,
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'/office-hours-brain-writeback',
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'Office Hours Brain Writeback E2E',
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result,
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{
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passed: ['success', 'error_max_turns'].includes(result.exitReason),
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},
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);
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expect(['success', 'error_max_turns']).toContain(result.exitReason);
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// The headline assertion: agent actually called gbrain put on the
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// expected slug.
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if (!existsSync(callsLogPath)) {
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throw new Error(
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`No gbrain calls log at ${callsLogPath}. ` +
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`Agent likely did NOT invoke gbrain at all. ` +
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`Check that office-hours/SKILL.md in the workdir contains the gbrain put block.`,
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);
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}
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const callsLog = readFileSync(callsLogPath, 'utf-8');
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console.log('--- gbrain calls log ---');
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console.log(callsLog);
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console.log('--- end calls log ---');
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expect(callsLog).toContain('gbrain put');
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// Agent obedience: the slug should contain 'pixel-fund' somewhere
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// (preferably under the office-hours/ prefix). The strict slug
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// SHAPE (office-hours/<slug>) is already pinned by the resolver
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// unit test (test/resolvers-gbrain-save-results.test.ts); this
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// E2E proves the agent actually invokes gbrain put with the
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// payload, not the resolver's literal output shape.
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expect(callsLog).toMatch(/gbrain put .*pixel-fund/);
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// Payload file exists. Agent may write to office-hours/pixel-fund.md
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// (resolver-faithful) OR pixel-fund.md (agent dropped prefix); both
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// are acceptable here because the YAML frontmatter is the real
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// contract test. Search the payload tree for any *.md file that
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// contains 'pixel-fund' in the path.
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const findPayload = (dir: string): string | null => {
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if (!existsSync(dir)) return null;
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for (const entry of readdirSync(dir, { withFileTypes: true })) {
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const full = join(dir, entry.name);
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if (entry.isDirectory()) {
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const nested = findPayload(full);
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if (nested) return nested;
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} else if (entry.name.includes('pixel-fund')) {
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return full;
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}
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}
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return null;
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};
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const payloadPath = findPayload(payloadDir);
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if (!payloadPath) {
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throw new Error(
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`Agent called gbrain put but no payload file with 'pixel-fund' ` +
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`in name was written to ${payloadDir}. Check the fake gbrain ` +
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`--content parser for argv quoting issues.`,
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);
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}
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const payload = readFileSync(payloadPath, 'utf-8');
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expect(payload).toMatch(/^---\s*\n/);
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expect(payload).toContain('title:');
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expect(payload).toContain('tags:');
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expect(payload.length).toBeGreaterThan(200);
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// Entity stubs: agents are inconsistent about whether they use
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// 'entities/<name>' (resolver doc) or 'entity/<name>' (singular).
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// We accept either — the test asserts that AT LEAST ONE entity
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// stub call exists, not the exact slug shape.
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const entityCallMatches =
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callsLog.match(/gbrain put entit(?:y|ies)\//g) || [];
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if (entityCallMatches.length === 0) {
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console.warn(
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'No entity stub calls in gbrain calls log. Resolver instructs ' +
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'entity extraction but it is best-effort.',
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);
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} else {
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console.log(
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`Entity stub calls observed: ${entityCallMatches.length}`,
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);
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}
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},
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CAPTURE_LONG_MS,
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);
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},
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);
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