2 Commits

Include renames

Author	SHA1	Message	Date
Garry TanandOpenAI Codex	9f81911136	v1.86.0.0 feat: route outside reviews by harness (#2850) ... * 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>	2026-09-14 14:32:45 -07:00
Garry TanandClaude Opus 4.7	e3d7f49c74	feat(v1.10.1.0): overlay efficacy harness + Opus 4.7 fanout nudge removal (#1166) ... * refactor: export readOverlay from model-overlay resolver Needed by the overlay-efficacy eval harness to resolve INHERIT directives without going through generateModelOverlay's full TemplateContext. * chore: add @anthropic-ai/claude-agent-sdk@0.2.117 dep Pinned exact for SDK event-shape stability. Used by the overlay-efficacy harness to drive the model through a closer-to-real Claude Code harness than `claude -p`. * feat(preflight): sanity check for agent-sdk + overlay resolver Verifies: SDK loads, claude-opus-4-7 is a live API model, SDKMessage event shape matches assumptions, readOverlay resolves INHERIT directives and includes expected content. Run with `bun run scripts/preflight-agent-sdk.ts`. PREFLIGHT OK on first run, $0.013 API spend. * feat(eval): parametric overlay-efficacy harness (runner + fixtures) `test/helpers/agent-sdk-runner.ts` wraps @anthropic-ai/claude-agent-sdk with explicit `AgentSdkResult` types, process-level API concurrency semaphore, and 3-shape 429 retry (thrown error, result-message error, mid-stream SDKRateLimitEvent). Pins the local claude binary via `pathToClaudeCodeExecutable`. `test/fixtures/overlay-nudges.ts` holds the typed registry. Two fixtures for the first measurement: `opus-4-7-fanout-toy` (3-file read) and `opus-4-7-fanout-realistic` (mixed-tool audit). Strict validator rejects duplicate ids, non-integer trials, unsafe overlay paths, non-safe id chars, and missing overlay files at module load. Adding a future overlay nudge eval = one fixture entry. * test(eval): unit tests for agent-sdk-runner (36 tests, free tier) Stub `queryProvider` feeds hand-crafted SDKMessage streams. Covers: happy-path shape, all 3 rate-limit shapes + retry, workspace reset on retry, persistent 429 -> `RateLimitExhaustedError`, non-429 propagation, process-level concurrency cap, options propagation, artifact path uniqueness, cost/turn mapping, and every validator rejection case. * test(eval): paid periodic overlay-efficacy harness `test/skill-e2e-overlay-harness.test.ts` iterates OVERLAY_FIXTURES, runs two arms per fixture (overlay-ON, overlay-OFF) at N=10 trials with bounded concurrency. Arms use SDK preset `claude_code` so both include the real Claude Code system prompt; overlay-ON appends the resolved overlay text. Saves per-trial raw event streams to `~/.gstack/projects/<slug>/transcripts/` for forensic recovery. Gated on `EVALS=1 && EVALS_TIER=periodic`. ~$3/run (40 trials). * test: register overlay harness in touchfiles (both maps) Entries for `overlay-harness-opus-4-7-fanout-toy` and `opus-4-7-fanout-realistic` in E2E_TOUCHFILES (deps: model-overlays/, fixtures file, runner, resolver) and E2E_TIERS (`periodic`). Passes `test/touchfiles.test.ts` completeness check. * fix(opus-4.7): remove "Fan out explicitly" overlay nudge Measured counterproductive under the new SDK harness. Baseline Opus 4.7 emits first-turn parallel tool_use blocks 70% of the time on a 3-file read prompt. With the custom nudge: 10%. With Anthropic's own canonical `<use_parallel_tool_calls>` block from their parallel-tool-use docs: 0%. Both overlays suppress fanout; neither improves it. On realistic multi-tool prompts (audit a project: read files + glob + summarize), Opus 4.7 never fans out in first turn regardless of overlay. Zero of 20 trials. Not a prompt problem. Keeping the other three nudges (effort-match, batch questions, literal interpretation) pending their own measurement. Harness is ready for follow-up fixtures — add one entry to `test/fixtures/overlay-nudges.ts` to measure any overlay bullet. Cost of investigation: ~$7 total across 3 eval runs. * chore: bump version and changelog (v1.6.5.0) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(eval): extend OverlayFixture with allowedTools, maxTurns, direction Per-fixture tool allowlist unblocks measuring nudges that need Edit/Write (e.g. literal-interpretation 'fix the failing tests' needs write access). Per-fixture maxTurns lets harder prompts run longer without changing the default. `direction` is cosmetic metadata for test output labeling. Also adds reusable predicates and metrics: - lowerIsBetter20Pct / higherIsBetter20Pct — 20% lift threshold vs baseline - bashToolCallCount — count of Bash tool_use across the session - turnsToCompletion — SDK-reported num_turns at result - uniqueFilesEdited — Edit/Write/MultiEdit file_path set size test/skill-e2e-overlay-harness.test.ts now threads fixture.allowedTools and fixture.maxTurns through runArm. * test(eval): 3 more overlay fixtures to measure remaining Claude nudges Measures three overlay bullets that haven't been tested yet: - claude-dedicated-tools-vs-bash — claude.md says 'prefer Read/Edit/Write/ Glob/Grep over cat/sed/find/grep'. Fixture prompts 'list every TypeScript file under src/ and tell me what each exports' and counts Bash tool_use across the session. Overlay-ON should drop it by >=20%. - opus-4-7-effort-match-trivial — opus-4-7.md says 'simple file reads don't need deep reasoning.' Fixture uses a trivial one-file prompt (config.json lookup) and measures turns_used. Overlay-ON should be <=80% of baseline turns. - opus-4-7-literal-interpretation — opus-4-7.md says 'fix ALL failing tests, not just the obvious one.' Fixture seeds three failing test files with deliberately distinct failure modes and counts unique files edited. Overlay-ON should touch >=20% more files. Adding a fourth fixture for any remaining overlay nudge is a single entry. The harness is now proven on: fanout (deleted after measurement), dedicated tools, effort-match, and literal-interpretation. * fix(eval): handle SDK max-turns throw gracefully Some @anthropic-ai/claude-agent-sdk versions throw from the query generator when maxTurns is reached, instead of emitting a result message with subtype='error_max_turns'. The runner treated that as a non-retryable error and killed the whole periodic run on the first fixture that exceeded its turn cap. Added isMaxTurnsError() detector and a catch branch that synthesizes an AgentSdkResult from events captured before the throw, with exitReason='error_max_turns' and costUsd=0 (unknown from the thrown path). The metric function still runs against whatever assistant turns were collected, so the trial produces a usable number. Hoisted events/assistantTurns/toolCalls/assistantTextParts and the timing counters out of the inner try so the catch branch can read them. No behavior change on the success path or on rate-limit retry paths. * test(eval): bump maxTurns to 15 for claude-dedicated-tools-vs-bash The prompt 'list every TypeScript file under src/ and tell me what each exports' needs 1 turn for Glob + ~5 for Reads + 1 for summary. Default maxTurns=5 was not enough; prior run threw from the SDK on this fixture and tanked the whole periodic eval. Bumping to 15 gives headroom. The runner now also handles max-turns gracefully even if a future fixture underestimates, so this is belt and suspenders. * test(eval): Sonnet 4.6 variants of the 5 Opus-4.7 fixtures Same overlays, same prompts, same metrics, `model: 'claude-sonnet-4-6'`. Tests whether the overlays behave differently on a weaker Claude model where baseline behavior is shakier. Sonnet trials cost ~3-4x less than Opus so these 5 add ~$4.50 to a full run. Measurement result from the first paired run (100 trials total, ~$14.55): - **Sonnet + effort-match shows real overlay benefit.** With the overlay on, Sonnet takes 2.5 turns on a trivial `What's the version in config.json?` prompt. Without, it takes exactly 3.0 turns in all 10 trials. ~17% reduction, below the 20% pass threshold but the signal is clean: overlay-ON distribution [2,2,2,2,2,3,3,3,3,3] vs overlay-OFF [3,3,3,3,3,3,3,3,3,3]. - All other Sonnet dimensions flat (fanout, dedicated-tools, literal interpretation). Same as Opus on those axes. - Opus effort-match remains flat (2.60 vs 2.50, +4% slower with overlay). Implication: model-stratified. The overlay stack helps Sonnet on some axes where it does nothing on Opus. Wholesale removal would hurt Sonnet. Per-nudge per-model measurement is the right move going forward. * chore: bump version to 1.10.1.0 Updates VERSION, package.json, CHANGELOG header, and TODOS completion marker from 1.6.5.0 to 1.10.1.0. --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-04-23 18:42:58 -07:00