mirror of
https://github.com/garrytan/gstack.git
synced 2026-09-26 22:51:47 +02:00
* fix: acknowledge seeded plans before invoking review skills * fix: distinguish current plan input from conversation history * fix: keep hermetic plan reviews on manual permissions * fix: distinguish tool discovery from file permission ownership * fix: preserve initial plan mode in observation tests * fix: wait for scope decisions before writing review findings * fix: carry autoplan decisions consistently into review artifacts * test: retain native failure context in periodic assertions * fix: advance active file permissions before queued questions * fix: finish red-team attempts before retry and cleanup * fix: finalize plan format captures and judges before retry * fix: cancel setup-gbrain SDK attempts before fixture cleanup * test: select periodic consumers of the bounded attempt helper * fix native Bash permission cards and queued questions * fix: preserve independent decisions and review scope Keep CEO approach, engineering scope and outside-review choices from approving independent remedies together. Carry declared contracts through DX polish and resolve new gaps before editing the plan. Regenerate every host and retain existing stop boundaries. Validation: 654 focused tests passed across nine files; all-host generation passed. Full free and periodic validation pending. Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: require approval before design plan amendments Align the Design review philosophy and rating recipe with its section protocol: resolve one proposed fix, then apply only that approved decision and retain honest scores for declined fixes. Validation: 469 focused tests passed across four files; all-host generation passed. Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix: observe native question completion before transcript persistence Match owned completion hooks to submitted choices, reject conflicting or late answers, and retain bounded failure evidence. * test: recognize review posture in acknowledged native questions Require the selected mode acknowledgement, a completed follow-up question, and its current decoded display while preserving existing posture assertions. * fix: preserve settled CEO choices and isolate pending remedies Resolve established approach gates with cited authority and keep independent fixes out of unrelated option commitments and plan amendments. * fix: carry approved DX choices through later review steps Choose documentation approaches within the accepted scope and map resolved confusion points without reopening them through a bulk menu. * test: handle native settings-file edit prompts Keep one-time owned-file approvals and retain the actual sampled Autoplan permission frame with its matching barrier state. * test: accept standard CEO reply directives with tuning footers Recognize the exact trailing preference footer and letter-list directive while preserving current-display and exact acknowledgement checks. * test: scope split reviewers to their generated plan artifacts * test: observe native Bash permissions and invocation results * test: handle owned Bash prompts during mode preference checks * test: preserve synchronous subprocess rejection in Codex fixture * Fix periodic review handoff navigation Recognize review-first and explicit manual-next-step labels while preserving exact action families, manual preference, and ambiguous-menu rejection. Co-authored-by: OpenAI Codex <noreply@openai.com> * Bind pending file permissions to distinct current targets Allow one captured file request to own the complete current dialog while unrelated file work is pending. Preserve same-path ambiguity, exact input ownership, and one-time grant checks. Co-authored-by: OpenAI Codex <noreply@openai.com> * Make paired CEO verification choices genuinely unresolved Start the positive control with proposed manual checks so its unchanged oracle measures two new coverage decisions. Preserve runtime contracts, targets, count bounds, and all assertions. Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep CEO review options and verification within approved scope Audit every offered option for independent add-ons and keep new verification depth pending until accepted. Preserve already requested coverage and trace plan changes to the actual decision. Co-authored-by: OpenAI Codex <noreply@openai.com> * Assemble DX review artifacts before appending the final report Keep early DX evidence above decisions, update artifact sections in place, and append the report using the actual current file suffix. Re-read after deleting an existing report before choosing the append anchor. Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep outside plan reviews exclusive and invocation-owned Follow one preflight-selected backend, terminate failed Codex work before fallback, and allocate extra prompt/output files uniquely. Consume only the current invocation’s completed output. Co-authored-by: OpenAI Codex <noreply@openai.com> * Select periodic completion evaluations for report writer changes Register the shared review resolver for eight missing consumers and regress selection for all nine completion cases without changing their IDs or tiers. Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep permission ambiguity fixtures on the same normalized target Use distinct raw spellings of one target in the four negative fixtures so they exercise the normalized duplicate-owner guard after exact current-file disambiguation. Preserve the existing exception, no-input, diagnostic and cleanup assertions. Co-authored-by: OpenAI Codex <noreply@openai.com> * Clarify preserved contracts in engineering review fixture Co-authored-by: OpenAI Codex <noreply@openai.com> * Recognize the offered DX follow-up handoff Co-authored-by: OpenAI Codex <noreply@openai.com> * Check independent commitments before presenting review options Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep Codex review output and status in one shell invocation Co-authored-by: OpenAI Codex <noreply@openai.com> * Distinguish seeded plans from reports written by a test attempt Co-authored-by: OpenAI Codex <noreply@openai.com> * Recover clipped Autoplan file approvals with bounded viewport resizing Co-authored-by: OpenAI Codex <noreply@openai.com> * Recover clipped Bash approvals before binding the complete command Co-authored-by: OpenAI Codex <noreply@openai.com> * Isolate setup message tests from the shared checkout Run the real installer in a temporary payload with private config, require successful completion, and guard source and binary contents and mtimes. Co-authored-by: OpenAI Codex <noreply@openai.com> * Fix periodic native permission and report completion handling Match the pinned CLI's soft wraps and clipped headings without granting from incomplete frames. Retire completed file requests, retain mode annotations, and ask section captures for a short final acknowledgement after their full report is saved. Co-authored-by: OpenAI Codex <noreply@openai.com> * Preserve review approvals and validate DX comparison artifacts Keep independent remedies and approved amendments explicit. Give the synthetic DX review its existing documentation and validate peer comparison as required analysis alongside four native decisions. Add positive and negative semantic calibrations while preserving review counts, model budgets and prompt size limits. Co-authored-by: OpenAI Codex <noreply@openai.com> * Make the five-finding CEO fixture's application boundary explicit Materialize the request adapter and service composition used by the synthetic payment application. Explicitly declare the revised unregistered-event and mail-telemetry assumptions while preserving uncaught handler errors, the original invoice path and all five unresolved findings. Co-authored-by: OpenAI Codex <noreply@openai.com> * Keep CEO state-path checks scoped to directory preparation Co-authored-by: OpenAI Codex <noreply@openai.com> * Use checked ports and bounded cleanup in pair-agent tests Discover the daemon port from its owned state file, retain startup diagnostics, and await failed-start cleanup. Add occupied-port, early-exit, deadline, and foreign-state regressions while preserving the existing HTTP assertions and hook budgets. Co-authored-by: Codex <noreply@openai.com> * Preserve queued edit identity and recover clipped Bash permissions Distinguish separately queued unfinished edits from mutation of one native tool ID. Keep grants bound to an exact owned request and reject reused IDs, ambiguous inputs, and competing owners. Support the pinned renderer's literal em dash and request a repaint when only the Bash card's top rule is clipped. Grants still require the complete fresh card and an exact native acknowledgment. Validation: 413 integrated parser/event tests passed; private repaint controls and joint source review passed. Full canonical suite and native periodic rerun remain pending. Co-authored-by: Codex <noreply@openai.com> * Keep periodic reviews within their approved contracts and deliverables Carry exact approvals through engineering review, preserve declared contracts when amending CEO plans, and keep prioritization at the requested decision level. Materialize the revised synthetic SDK reference contract while retaining the five original documentation gaps. Accept the observed semicolon in the finite DX handoff menu and register the direct source dependencies used by the engineering cases. Regenerate canonical review documents without changing model budgets, retries, count bands, or native completion assertions. Validation: all-host generation and 275 review, fixture, selection and parity tests passed. Full free-suite and native periodic validation remain pending. Co-authored-by: Codex <noreply@openai.com> * Keep Eng approval cadence and independence guards explicit * Accept ordinary punctuation in manual review handoffs * Recover file permissions alongside queued Bash calls * Carry approved DX work through later review findings * Clarify the synthetic auth internal failure decision * Bound the periodic DX fixture to onboarding changes * Recognize native Design review handoff labels * Hold scope in the integration-choice review fixture * Carry approved Design decisions through review evidence * Capture listener state when feedback reload fails * Exclude workspace caches before checking deprecated flags * Verify Design UI scope against a seeded review plan * Clarify plan review decisions and outside-voice approval flow * Reject setup menus in the Design UI gate * docs: require focused repair validation before final acceptance * fix: separate review commitments within existing prompt budgets * docs: align generation and contributor validation guidance * fix: advance native review prompts and count acknowledged findings * chore: bump version and changelog (v1.87.1.0) Co-Authored-By: OpenAI Codex <noreply@openai.com> * chore: enforce cheap checks and side-effect-free validation previews * fix: handle owned Fetch permissions and oversized native cards * test: ground review fixtures in independent executable contracts * fix: preserve review decisions and verify reports before completion * test: construct the synthetic credential URL without a scanner false positive * test: materialize DX examples and verify their actual local behavior * fix: clarify CEO review decisions and execution order * fix: clarify review workflow ordering and select Design quality checks * Fix review decision gates and incomplete evaluation fixtures Persist CEO and engineering commitment ledgers before menus, preserve exact approvals, and distinguish implementation structure from feature scope. Route Autoplan through the canonical CEO Step 0 ordering. Classify DX findings before requesting approval and ground runtime claims in actual evidence. Complete neutral non-target fixture contracts and accept the captured Design handoff purpose without relaxing its ownership or acknowledgment checks. Record runtime-capability verification in AGENTS.md validation discipline. Validation: 1,335 focused tests passed across 21 files; build, all-host freshness, skill validation (647 artifacts / 107 tracked), and credential checks passed. Prior paid failures are preserved; behavioral acceptance remains pending. * Fix review decision boundaries and owned Read prompts Preserve exact approvals across review options, compare consistent DX milestones, and keep proposed implementation separate from review evidence. Bind modern Read prompts to one immutable native request and wait for its result. Retain captured regression verdicts, correct fixture error names, improve import probe diagnostics, and record focused-first validation discipline in AGENTS.md. * Clarify CEO and engineering review decisions Use explicit decision steps, one engineering ledger, and clear scope/write transitions. Preserve exact approvals and distinguish pending test requirements. Keep unrelated generated content unchanged. * Fix review decision ordering and native evaluation interactions * Clarify engineering decisions and test artifact order * Clarify pending choices and approvals in CEO reviews * Make CEO review phases sequential and clarify completion * Fix Design board submission intent matching * Seed an existing browser test baseline for Autoplan * Document decision-log payloads before state initialization * Preserve exact review scope and decide one change before drafting options * Require input identity before repeating passing model judges * Honor permitted storage throughout CEO review completion * Match complete native permission text within the pinned renderer contract * Align review approvals, independent choices, and bounded validation * fix: preserve reopened approvals and declare fixture interfaces * fix: isolate review artifacts and audit complete questions * fix: match detector artifact permissions to configured storage * fix: complete native permissions and review fixture workflows * fix: order CEO review work and separate engineering guarantees * fix: preserve native validation and separate review choices * fix: clarify review decisions and judge complete report context * fix: constrain review judgments and retain parse failures * fix: compare each affected value before review decisions * fix: make engineering review decisions and completion order explicit * fix: give the complete Autoplan evaluation a bounded chain budget * fix(cso): diagnose forbidden Docker endpoints before tool lookup * fix(reviews): reconcile workflow contracts and generated artifacts after main integration * fix(evals): migrate retained regressions to the native review harness * fix(tests): close native harness and workflow integration regressions * fix(evals): preserve complete permission context and native menu contracts * fix(tests): capture synchronous command output without pipe drain stalls * fix(reviews): clarify decision and completion ordering * fix(reviews): separate decision readiness from final completion checks * refactor(reviews): consolidate decision rules and completion branches * fix(plan-eng-review): order preparation and clarify decision routing * fix(plan-eng-review): restore size and question-format guard parity * fix(plan-eng-review): clarify scope phases and blocked completion * fix(plan-eng-review): unify review flow and report destination * fix(plan-eng-review): define bootstrap and question stage ownership * fix(plan-eng-review): clarify review structure and design lookup * fix(plan-eng-review): render report examples and show saved decisions * fix: consolidate Eng review decisions and select their evaluations * test: cover overlapping terminal attachments and clean merged runner type * fix: preserve Office Hours relationship closings during review updates * fix: retain pasted review targets across slash invocations * docs: preserve validation traces and correct release scope * test: cover pasted targets in both review skills * fix: validate report artifacts before recording success * fix: redact source roots at CSO report boundaries * fix: bind native Design questions before answering * test: select report privacy and native recovery regressions * test: bind rejection predicate in extracted observers * fix: bind complete boxed native questions * test: keep the Design UI fixture on native review * fix: preserve review decisions and evaluation completion outcomes * fix: clarify CEO approval and report completion order * fix: align native review evaluation ownership and completion * fix: bind review evaluators to native decisions and owned artifacts * fix: validate review decisions against native outcomes * fix: preserve review evidence and Autoplan phase handoffs * test: bind review evidence to owned decisions and completion * fix: retain owned native history across compaction * fix(evals): validate current review decisions and setup choices * fix: bind Autoplan reviews and phase completion to current amended input * fix: reconcile native review evidence and close Autoplan phases * test: recognize owned whole-candidate complexity decisions * test: preserve report freshness for approved investigation handoffs * fix: recognize scoped review findings and isolate dual voice fixtures * fix: make review handoffs and question dispatch self-contained * test: recognize complete CEO decisions and procedural pauses * fix: bind current CEO comparison options and risk intervals * test: bind engineering decisions and completion to owned evidence * fix: publish Autoplan phase reports before continuing tools * test: verify actual Autoplan dual-review dispatch evidence * test: select dual review when shared evidence fixtures change * fix: clarify plan review decisions and completion gates * fix: make CEO review decisions and return paths explicit * test: keep Autoplan prompt files inside attempt state * test: preserve source whitespace across permission dialog wraps * fix: publish Autoplan phase reports before continuing * test: recognize current CEO comparisons and reject inactive records * fix: reconcile engineering decision states before completion * test: recognize complete Design decisions and reports * test: verify current engineering decisions before navigation * Recognize source-owned component reduction choices * fix: recognize current CEO ledger and commitment grids * test: supply RequestPolicy context to Eng count fixture * fix: save complete engineering decisions before asking * fix: bind Autoplan publication to the complete phase readback * chore: prepare 1.87.5.0 reliability release * fix: clarify engineering review completion and preserve log failures * fix: bind CEO saved choices and current section ancestry * fix(evals): bind review execution and completion evidence * fix(plan-ceo-review): verify complete decisions before asking * fix(evals): preserve complete engineering choice records * fix(evals): preserve complete review outcomes and bounded fixtures * fix(autoplan): publish phase reports before advancing * fix(plan-ceo-review): validate option fields before asking * fix(plan-eng-review): verify current decisions after answers * fix(evals): bind review decisions and bound fixture scope * fix(plan-ceo-review): verify decision rows and edit saved checkpoints * fix(evals): bind review evidence and scope document lookup * fix(plan-eng-review): update resolution state with its answer * fix(reviews): preserve complete questions through dispatch * fix(evals): recognize completed mode declarations * fix(evals): define cache consistency at wrapper completion * fix(evals): validate owned initial scope and completed review handoffs * fix: assemble complete CEO decision fields before saving * fix: authenticate automatic mode decisions without guessing selectors * fix: bind engineering coverage to approved regression contracts * fix(evals): supply review helpers to native Eng capture * fix(plan-eng-review): preserve the full selected option scope * fix(evals): recognize owned engineering seed and regression evidence * fix(evals): bind engineering retry reports to native approvals * docs: clarify release guarantees (v1.87.5.0) Co-Authored-By: OpenAI Codex <noreply@openai.com> * fix(evals): recognize owned engineering decisions and handoffs * fix(evals): bind engineering decisions and completion evidence * fix(tests): align review contracts and selection fixtures * fix(skills): restore review prompt size limits * fix(plan-eng-review): clarify review execution and completion * fix(evals): preserve configured retries through all supervision layers * Clarify Engineering decisions and report completion * Keep native decision assertions within their source boundary * fix: recognize owned engineering decisions and completed navigation * fix: bind completed auto decisions to their current review * fix: recognize explicit CEO source attribution * fix: dispatch verified CEO decisions without recomposing fields * test: expose existing execution deadlines to review actors * fix: distinguish CEO decision records from incidental headings * test: bind split-scope choices to the registered native actor * test: connect reviewed regressions to required evaluation coverage * Clarify CEO decision routing and completion stages * test: expose existing section review deadlines to fixture actors * test: recognize complete native CEO pacing inventories * test: exclude answered history from current CEO payloads * test: detect phase entry through owned skill HOME aliases * test: validate native review completion and owned report permissions * fix: make Autoplan close packets carry the parent handoff steps * test: assess source-bound HOLD decisions within the existing deadline * fix: keep CEO native decision fields under one formatting authority * test: register integrated review and permission dependencies * test: align native review adapters and finding coverage Preserve explicit AUTO decisions, apply native single-select defaults, and bind complete cropped questions and report permissions to their owned requests. Require seeded review findings instead of crediting setup menus. Keep captured failure controls and additive selection dependencies. The integrated candidate passed 3,099 focused tests across 65 files; affected paid validation remains required before publication. * fix(autoplan): require phase reports before advancing * fix(evals): bind setup and evidence to complete attempts * fix(evals): bind native answers and pending writes to fixture scope Preserve complete option rows when native descriptions wrap, retain current owned Write arguments before journal publication, and keep engineering and DX answers within their declared fixture interfaces. Add captured free regressions without increasing model budgets or relaxing completion checks. * fix(autoplan): verify phase reports across native tool paths Guard owned methodology reads and reviewer dispatches, detect complete driver loads through Bash, and distinguish report-only edits from implementation changes. Follow authenticated native UUID ancestry when journal writes arrive out of order and verify earlier native content for cached phase reads. Keep current close acknowledgment and parent publication in order, require CEO entry before later phases, and register captured failure regressions. * fix(evals): honor native input and collection lifecycles Match complete native Edit panes and truncated question borders, reject stderr close before EOF, and stop the CEO split fixture once its acknowledged scope decisions are collected. Keep semantic validation, process failures, report requirements, and absolute deadlines authoritative. Add captured-event and real-process regressions with selection dependencies. Focused checks pass; final integrated paid and full-suite acceptance remain pending. * fix(autoplan): retain native session ownership across directory changes Recover missed native UUID ancestry through the existing strict graph while preserving ordinary event order and legacy scoping. Bind publication hooks to Claude's original project directory while retaining current cwd for requested file paths. Captured public-event regressions, existing caller checks, and a pinned native CLI loopback verify both fixes. Preserve failed attempts and require fresh paid and final full-suite acceptance. * docs: align evaluation limits and completion version * fix(autoplan): allow authenticated phase reads during journal streaming * fix(evals): bind clipped native questions and owned edit dialogs * fix: preserve overlay retries and bounded cleanup * fix: recognize owned planning preludes in native questions * docs: explain overlay scheduling and cleanup guarantees * fix: require fresh publication after Autoplan phase reruns * Release gstack 1.87.6 * fix: preserve CI paths, process identity, and test deadlines * fix: keep informational setup commands independent of install probes * fix: clarify plan review decisions and bound source audit reports * Fix remaining Windows identity and native path CI failures * Clarify CEO review decision and reviewer-result routing * test: accept no-install planner in retry supervision * fix(ceo-review): make review decisions and report completion explicit * perf(test): add fast PR gates, input-keyed judge reuse and isolated free shards * fix(test): start isolated CEO smoke from its existing project plan * fix(test): repair CI fixture races and preserve retry evidence * fix(ceo-review): clarify approvals, depth and saved completion --------- Co-authored-by: OpenAI Codex <noreply@openai.com>
550 lines
84 KiB
JSON
550 lines
84 KiB
JSON
{
|
|
"sourceHead": "4636893f5201e9357f9af2dd3cbbfb679e57bfdc",
|
|
"provenance": "Exact five seeded native questions and completions from each naturally failed V3 attempt; additional real work is preserved in the retained full census, not relabeled as a pass.",
|
|
"attempts": [
|
|
{
|
|
"attempt": 1,
|
|
"calls": [
|
|
{
|
|
"sessionId": "4ee2d851-255c-425b-976f-9f207925627d",
|
|
"toolUseId": "toolu_01VXrmuvLXa6RMo8tRHbZFqb",
|
|
"questions": [
|
|
{
|
|
"question": "D3 — Journey stage INSTALL / HELLO WORLD: the README quickstart points at a file that does not ship. Fix how?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 1 of 5.\nELI10: README.md:10-11 tells the developer to run `python examples/first_eval.py` right after pip install. docs/package-contents.txt:8-9 confirms that file is in neither the published wheel nor the examples archive. Your ML engineer's very first command after install fails with \"No such file or directory\". Meanwhile the command that actually works, `python -m evalkit.demo`, is two paragraphs lower. This violates Zero Friction at T0: the golden path is broken at step 2 of 2.\nStakes if we pick wrong: Minute 1 ends in a file-not-found error and a developer who now doubts every other line of the README.\nRecommendation: A because the demo module is already shipped and working (package-contents.txt:9-10), so the README should point at it and the missing file should stop being referenced anywhere.\nCompleteness: A=10/10, B=7/10, C=4/10\nNet: one golden path that exists vs maintaining two entry points, one of which must still be built.",
|
|
"header": "Quickstart",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "Point quickstart at evalkit.demo (recommended)",
|
|
"description": "✅ The command already ships and works; README.md:11 changes to `python -m evalkit.demo` and the missing-file reference is removed everywhere. ✅ One golden path, no decision fatigue, matches the approved delivery vehicle. ❌ Drops the idea of a standalone editable example script from the quickstart. (human: ~30 min / CC: ~2 min)"
|
|
},
|
|
{
|
|
"label": "Ship examples/first_eval.py too",
|
|
"description": "✅ Gives developers an editable script to copy into their own project. ✅ Makes the existing README line true instead of rewriting it. ❌ Adds a second first-run path and a new file that must be packaged, tested, and kept in sync with the demo. (human: ~half day / CC: ~15 min)"
|
|
},
|
|
{
|
|
"label": "Add a note that the file is coming",
|
|
"description": "✅ Smallest possible edit to the README. ✅ No packaging change. ❌ The first command still does nothing useful, and a 'coming soon' in a quickstart reads as abandonment."
|
|
},
|
|
{
|
|
"label": "Acceptable friction, skip",
|
|
"description": "✅ No work in this release. ✅ Developers who read the whole README will find the demo. ❌ The documented first command fails for every new developer at minute 1."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D3 — Journey stage INSTALL / HELLO WORLD: the README quickstart points at a file that does not ship. Fix how?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 1 of 5.\nELI10: README.md:10-11 tells the developer to run `python examples/first_eval.py` right after pip install. docs/package-contents.txt:8-9 confirms that file is in neither the published wheel nor the examples archive. Your ML engineer's very first command after install fails with \"No such file or directory\". Meanwhile the command that actually works, `python -m evalkit.demo`, is two paragraphs lower. This violates Zero Friction at T0: the golden path is broken at step 2 of 2.\nStakes if we pick wrong: Minute 1 ends in a file-not-found error and a developer who now doubts every other line of the README.\nRecommendation: A because the demo module is already shipped and working (package-contents.txt:9-10), so the README should point at it and the missing file should stop being referenced anywhere.\nCompleteness: A=10/10, B=7/10, C=4/10\nNet: one golden path that exists vs maintaining two entry points, one of which must still be built.": "Point quickstart at evalkit.demo (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:10:11.801Z"
|
|
},
|
|
{
|
|
"sessionId": "4ee2d851-255c-425b-976f-9f207925627d",
|
|
"toolUseId": "toolu_01ABAQJEV6AovtsUCJWLiWq7",
|
|
"questions": [
|
|
{
|
|
"question": "D4 — Journey stage HELLO WORLD: the keyless local demo blocks up to 300s on a remote CI check. Keep, gate, or remove for first local results?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 2 of 5.\nELI10: docs/current-contracts.md:3-5 says the first local evaluation requires a successful remote CI check and blocks for five minutes, with no skip flag or offline path. README.md:17-23 confirms even the keyless bundled demo (mock transport, sample data, no credentials) waits on it. The approved target is under 2 minutes to first result (docs/benchmarks.md:8). A 300-second wait cannot fit inside a 120-second budget, so the plan as written promises a target it cannot meet. The progress lines and timeout message are good, but they polish a wait that should not exist for a local, mock-transport evaluation. This violates Zero Friction at T0 and Decide-for-me-let-me-override (no escape hatch). Peer SDK A finishes everything in 2 minutes.\nStakes if we pick wrong: Your ML engineer, who explicitly wants a local result before touching CI, alt-tabs at minute 2 and half of them never come back; the magical moment arrives after they have left.\nRecommendation: A because local evaluations over the mock transport or sample data have nothing to verify against CI, and the check still runs when it matters: the first remote, keyed evaluation.\nCompleteness: A=10/10, B=8/10, C=5/10\nNet: deliver the demo scores in seconds and keep the CI gate for remote work, vs keeping a mandatory wait that makes the approved target impossible.",
|
|
"header": "CI gate",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "No CI gate for local/mock evals (recommended)",
|
|
"description": "✅ `python -m evalkit.demo` and any mock-transport or offline evaluation return in seconds; the CI binding check moves to the first live, keyed evaluation where it verifies something real. ✅ Makes the under-2-minute target achievable; existing progress and timeout messaging is reused unchanged on the remote path. ❌ Changes a documented contract; the plan must state the new rule and update current-contracts.md. (human: ~1 day / CC: ~30 min)"
|
|
},
|
|
{
|
|
"label": "Keep gate, add --skip-ci-check / EVALKIT_SKIP_CI_CHECK",
|
|
"description": "✅ Preserves the existing default behavior for anyone relying on it. ✅ Gives an explicit, documented escape hatch and lets the demo pass the flag by default. ❌ The default first-run path still waits 300s unless the developer discovers the flag; the README must lead with it. (human: ~half day / CC: ~20 min)"
|
|
},
|
|
{
|
|
"label": "Keep gate, run it in the background",
|
|
"description": "✅ Demo scores print immediately from the mock transport while the CI check completes asynchronously. ✅ No contract removal, just reordering. ❌ A check the result never depends on is theater; developers will ask why it exists. (human: ~1 day / CC: ~30 min)"
|
|
},
|
|
{
|
|
"label": "Keep the mandatory wait as documented",
|
|
"description": "✅ Zero change to a contract the plan says to retain. ✅ Progress lines and timeout messages already exist. ❌ The under-2-minute target is arithmetically unreachable and the review must record it as a blocking DX debt."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D4 — Journey stage HELLO WORLD: the keyless local demo blocks up to 300s on a remote CI check. Keep, gate, or remove for first local results?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 2 of 5.\nELI10: docs/current-contracts.md:3-5 says the first local evaluation requires a successful remote CI check and blocks for five minutes, with no skip flag or offline path. README.md:17-23 confirms even the keyless bundled demo (mock transport, sample data, no credentials) waits on it. The approved target is under 2 minutes to first result (docs/benchmarks.md:8). A 300-second wait cannot fit inside a 120-second budget, so the plan as written promises a target it cannot meet. The progress lines and timeout message are good, but they polish a wait that should not exist for a local, mock-transport evaluation. This violates Zero Friction at T0 and Decide-for-me-let-me-override (no escape hatch). Peer SDK A finishes everything in 2 minutes.\nStakes if we pick wrong: Your ML engineer, who explicitly wants a local result before touching CI, alt-tabs at minute 2 and half of them never come back; the magical moment arrives after they have left.\nRecommendation: A because local evaluations over the mock transport or sample data have nothing to verify against CI, and the check still runs when it matters: the first remote, keyed evaluation.\nCompleteness: A=10/10, B=8/10, C=5/10\nNet: deliver the demo scores in seconds and keep the CI gate for remote work, vs keeping a mandatory wait that makes the approved target impossible.": "No CI gate for local/mock evals (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:10:33.870Z"
|
|
},
|
|
{
|
|
"sessionId": "4ee2d851-255c-425b-976f-9f207925627d",
|
|
"toolUseId": "toolu_01Sw8ezPFGmW8Az8Z1fArHhp",
|
|
"questions": [
|
|
{
|
|
"question": "D5 — Journey stage REAL USAGE: run_eval and run_batch take the same two arguments in opposite positional order. Fix how?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 3 of 5.\nELI10: docs/api.md:5-9 documents `run_eval(dataset, evaluator)` and `run_batch(evaluator, dataset)`. Same concepts, reversed order, positional only, and the draft calls the reversal intentional. Your ML engineer learns one call from the demo, writes the other by analogy, and passes a dataset where an evaluator is expected. Best case a confusing type error; worst case both are duck-typed iterables and it runs wrong. This is a beta with the version bump to 2.0 already happening, which is the cheapest moment there will ever be to make the two signatures agree. Violates Usable (consistent grammar) and the one-example test: a developer cannot use the API correctly after seeing one example.\nStakes if we pick wrong: Every developer who uses both functions pays a debugging session for an inconsistency the SDK chose on purpose, and fixing it after GA becomes a breaking change.\nRecommendation: A because 2.0.0b1 is the last free moment to align the order; the alias-and-warn path costs nothing for beta users who have no v2 code yet.\nCompleteness: A=10/10, B=8/10, C=6/10\nNet: fix the grammar once now while it is free, vs shipping a known trap into a 2.x contract.",
|
|
"header": "Signatures",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "Align order to (dataset, evaluator) in 2.0 (recommended)",
|
|
"description": "✅ `run_batch(dataset, evaluator)` matches `run_eval`; one signature shape to learn, and the docs show both with the same example. ✅ A runtime check raises a clear TypeError when an evaluator lands in the dataset slot, so a swapped call fails loudly with the fix in the message. ❌ Changes a documented signature in the beta; anyone on 2.0.0b1 pre-release code with positional run_batch calls must swap two arguments. (human: ~half day / CC: ~15 min)"
|
|
},
|
|
{
|
|
"label": "Keep order, require keyword arguments",
|
|
"description": "✅ `run_batch(*, dataset, evaluator)` makes the order irrelevant and every call self-documenting. ✅ No silent argument swap is possible. ❌ Positional calls break for both functions, a bigger change than aligning one; more verbose for the common case. (human: ~half day / CC: ~15 min)"
|
|
},
|
|
{
|
|
"label": "Keep order, document it loudly",
|
|
"description": "✅ No code change. ✅ A warning box in docs/api.md and a docstring note. ❌ Documentation does not stop the by-analogy mistake; developers do not read the reference before their second call."
|
|
},
|
|
{
|
|
"label": "Acceptable friction, skip",
|
|
"description": "✅ Zero work; the draft already calls the reversal intentional. ✅ Existing tests keep passing. ❌ Ships a known inconsistency into a 2.x public contract that will cost a breaking change to fix later."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D5 — Journey stage REAL USAGE: run_eval and run_batch take the same two arguments in opposite positional order. Fix how?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 3 of 5.\nELI10: docs/api.md:5-9 documents `run_eval(dataset, evaluator)` and `run_batch(evaluator, dataset)`. Same concepts, reversed order, positional only, and the draft calls the reversal intentional. Your ML engineer learns one call from the demo, writes the other by analogy, and passes a dataset where an evaluator is expected. Best case a confusing type error; worst case both are duck-typed iterables and it runs wrong. This is a beta with the version bump to 2.0 already happening, which is the cheapest moment there will ever be to make the two signatures agree. Violates Usable (consistent grammar) and the one-example test: a developer cannot use the API correctly after seeing one example.\nStakes if we pick wrong: Every developer who uses both functions pays a debugging session for an inconsistency the SDK chose on purpose, and fixing it after GA becomes a breaking change.\nRecommendation: A because 2.0.0b1 is the last free moment to align the order; the alias-and-warn path costs nothing for beta users who have no v2 code yet.\nCompleteness: A=10/10, B=8/10, C=6/10\nNet: fix the grammar once now while it is free, vs shipping a known trap into a 2.x contract.": "Align order to (dataset, evaluator) in 2.0 (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:10:55.952Z"
|
|
},
|
|
{
|
|
"sessionId": "4ee2d851-255c-425b-976f-9f207925627d",
|
|
"toolUseId": "toolu_01LdUtpia2udSkQVnau2ZjkR",
|
|
"questions": [
|
|
{
|
|
"question": "D6 — Journey stage DEBUG: an invalid API key raises AuthError(\"request failed\") with no code, cause, or fix. Fix how?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 4 of 5.\nELI10: docs/api.md:11-13 says a bad key raises `AuthError(\"request failed\")` and the plan retains that message. docs/current-contracts.md:21-23 says every OTHER error already names the cause, the argument or file, and a fix, and redacts secrets. So auth is the one error that is below the SDK's own bar, and it is the first error your ML engineer is likely to hit: right after the demo, on their first live call, with a pasted key. \"request failed\" could mean network, key, rate limit, or server. Violates Fight Uncertainty: every error must state problem, cause, and fix. The CI timeout message (EVALKIT_CI_TIMEOUT plus URL plus help link) is already the house style; auth just needs to match it.\nStakes if we pick wrong: The first live call fails with a message that gives no direction, the developer suspects the network, and the console page with the fix is one URL they are never shown.\nRecommendation: A because it brings the one substandard error up to the pattern the SDK already uses everywhere else, at trivial cost.\nCompleteness: A=10/10, B=7/10\nNet: one consistent error contract vs a lone opaque message on the most common first failure.",
|
|
"header": "AuthError",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "Match house style: code + cause + fix + link (recommended)",
|
|
"description": "✅ Raise `AuthError` with code EVALKIT_AUTH_INVALID_KEY, message naming the cause (key rejected for project X, or EVALKIT_API_KEY unset), the fix (create or rotate at the console URL, export the variable), and a help link; key value redacted, last 4 chars shown. ✅ Distinguish unset key, malformed key, and rejected key as separate codes so the fix is exact. ❌ Changes the exception message text; any test asserting on \"request failed\" must be updated. (human: ~half day / CC: ~15 min)"
|
|
},
|
|
{
|
|
"label": "Add a code and docs link only",
|
|
"description": "✅ Minimal change: `AuthError(\"request failed\", code=EVALKIT_AUTH)` with a link to the auth troubleshooting page. ✅ Keeps the message text stable for existing assertions. ❌ The developer still leaves the terminal to learn the cause; unset vs invalid vs revoked are not distinguished."
|
|
},
|
|
{
|
|
"label": "Keep AuthError(\"request failed\")",
|
|
"description": "✅ No change to a retained contract. ✅ No test churn. ❌ The one error most new developers hit stays the one error the SDK explains worst."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D6 — Journey stage DEBUG: an invalid API key raises AuthError(\"request failed\") with no code, cause, or fix. Fix how?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 4 of 5.\nELI10: docs/api.md:11-13 says a bad key raises `AuthError(\"request failed\")` and the plan retains that message. docs/current-contracts.md:21-23 says every OTHER error already names the cause, the argument or file, and a fix, and redacts secrets. So auth is the one error that is below the SDK's own bar, and it is the first error your ML engineer is likely to hit: right after the demo, on their first live call, with a pasted key. \"request failed\" could mean network, key, rate limit, or server. Violates Fight Uncertainty: every error must state problem, cause, and fix. The CI timeout message (EVALKIT_CI_TIMEOUT plus URL plus help link) is already the house style; auth just needs to match it.\nStakes if we pick wrong: The first live call fails with a message that gives no direction, the developer suspects the network, and the console page with the fix is one URL they are never shown.\nRecommendation: A because it brings the one substandard error up to the pattern the SDK already uses everywhere else, at trivial cost.\nCompleteness: A=10/10, B=7/10\nNet: one consistent error contract vs a lone opaque message on the most common first failure.": "Match house style: code + cause + fix + link (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:11:16.020Z"
|
|
},
|
|
{
|
|
"sessionId": "4ee2d851-255c-425b-976f-9f207925627d",
|
|
"toolUseId": "toolu_016VW8iF54h58quZ73na58Zt",
|
|
"questions": [
|
|
{
|
|
"question": "D7 — Journey stage UPGRADE: v2 removes Client.evaluate() outright with no alias, warning, migration guide, or codemod. Fix how?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 5 of 5.\nELI10: docs/api.md:15-17 says v1's `Client.evaluate()` becomes `Client.run()` in v2 and the old name is removed immediately. Your ML engineer already has v1 scripts in a repo and possibly in CI. They bump the pin to 2.0.0b1 and every script dies with `AttributeError: 'Client' object has no attribute 'evaluate'`, a message that does not mention `run()`. The changelog is otherwise complete (docs/api.md:18), so this is the one break without a trail. Violates Credible (upgrade fear) and Upgrades-should-be-boring. TypeScript never breaks JS; a one-line alias with a DeprecationWarning is the Python equivalent.\nStakes if we pick wrong: The upgrade is the first thing existing users do with 2.0, and it fails for all of them with no pointer to the fix.\nRecommendation: A because a deprecated alias is a few lines, gives every v1 user a working upgrade plus the exact new name in the warning, and the removal can land in 3.0 with notice.\nCompleteness: A=10/10, B=7/10, C=5/10\nNet: a boring upgrade with a warning and a guide vs a hard break on day one of 2.0.",
|
|
"header": "v1 to v2",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "Alias + DeprecationWarning + migration guide (recommended)",
|
|
"description": "✅ `Client.evaluate()` stays as a thin alias that emits `DeprecationWarning: Client.evaluate() is deprecated, use Client.run(); removed in 3.0` with a link to docs/migrating-v1-to-v2.md. ✅ Migration guide covers every 2.0 break (this rename plus the run_batch order fix from D5) with before/after snippets and a one-line sed or pyupgrade-style codemod. ❌ Keeps one legacy name alive through 2.x, a small maintenance cost. (human: ~1 day / CC: ~30 min)"
|
|
},
|
|
{
|
|
"label": "Remove, but raise a helpful error",
|
|
"description": "✅ Clean 2.0 surface, no legacy name. ✅ `__getattr__` intercepts `evaluate` and raises `AttributeError: Client.evaluate() was renamed to Client.run() in 2.0; see <guide url>` so the break explains itself. ❌ Every v1 script still breaks on upgrade; the developer must edit code before anything runs. (human: ~half day / CC: ~15 min)"
|
|
},
|
|
{
|
|
"label": "Remove, document in changelog only",
|
|
"description": "✅ Zero runtime code. ✅ Changelog entry plus a migration section in docs/api.md. ❌ The runtime error stays a bare AttributeError; developers hit the break before they read the changelog."
|
|
},
|
|
{
|
|
"label": "Acceptable friction, skip",
|
|
"description": "✅ The plan already says to retain this behavior. ✅ No work. ❌ Every existing v1 user's first 2.0 experience is an unexplained crash."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D7 — Journey stage UPGRADE: v2 removes Client.evaluate() outright with no alias, warning, migration guide, or codemod. Fix how?\nProject/branch/task: EvalKit SDK beta polish on main; DX POLISH, Step 0F friction point 5 of 5.\nELI10: docs/api.md:15-17 says v1's `Client.evaluate()` becomes `Client.run()` in v2 and the old name is removed immediately. Your ML engineer already has v1 scripts in a repo and possibly in CI. They bump the pin to 2.0.0b1 and every script dies with `AttributeError: 'Client' object has no attribute 'evaluate'`, a message that does not mention `run()`. The changelog is otherwise complete (docs/api.md:18), so this is the one break without a trail. Violates Credible (upgrade fear) and Upgrades-should-be-boring. TypeScript never breaks JS; a one-line alias with a DeprecationWarning is the Python equivalent.\nStakes if we pick wrong: The upgrade is the first thing existing users do with 2.0, and it fails for all of them with no pointer to the fix.\nRecommendation: A because a deprecated alias is a few lines, gives every v1 user a working upgrade plus the exact new name in the warning, and the removal can land in 3.0 with notice.\nCompleteness: A=10/10, B=7/10, C=5/10\nNet: a boring upgrade with a warning and a guide vs a hard break on day one of 2.0.": "Alias + DeprecationWarning + migration guide (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:11:36.110Z"
|
|
}
|
|
],
|
|
"historicalOutcome": "ceiling_reached",
|
|
"legacyReviewCount": 8,
|
|
"genuineDecisions": 8,
|
|
"observationSha256": "7d0eee358241a9ad11d1fdb8216ee9c0eb46d0b050d86a8f92558863fcacfb11"
|
|
},
|
|
{
|
|
"attempt": 2,
|
|
"calls": [
|
|
{
|
|
"sessionId": "5139711c-562b-47db-81ea-387b171beaed",
|
|
"toolUseId": "toolu_012AY75Qigv791YdPqtb9s2N",
|
|
"questions": [
|
|
{
|
|
"question": "D3 — Journey stage HELLO WORLD: the mandatory 5-minute remote CI check blocks the first local result, including the keyless demo. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; tracing python -m evalkit.demo against the settled under-2-minute target.\nELI10: docs/current-contracts.md lines 3-5 say every first local evaluation must pass a remote CI check and blocks for five minutes, with no skip flag or offline path. README.md lines 17-23 confirm the keyless demo waits too. docs/benchmarks.md measured EvalKit at 6 minutes, 5 of which is this wait, against peers at 2 to 4 minutes and an agreed target under 2 minutes. The demo uses a mock transport and bundled data, so the check verifies a sample-project binding the developer does not own. The ML engineer wanted a local number before touching CI, and instead the SDK forces CI on them at minute one.\nStakes if we pick wrong: The 6-minute TTHW is the Needs Work tier and the target is mathematically unreachable while the gate stays. Developers alt-tab during the wait and many do not come back.\nRecommendation: A because it is the only option that hits the settled target, and the progress and timeout messages already in the contract stay useful on the live path. Violates Zero friction at T0 and Decide for me, let me override.\nCompleteness: A=10/10, B=7/10, C=5/10, D=2/10\nA) Move the CI check off the local and demo path; it runs on the first live keyed evaluation or via an explicit verify command (recommended) (human: ~3 days / CC: ~30 min)\n ✅ Demo and first local eval return in seconds; TTHW drops from 6 min to about 1 min, under target\n ✅ The check still guards production use where the sample-project binding actually matters\n ❌ Changes a documented first-run contract; needs a changelog entry and a docs update\nB) Keep the gate but make it non-blocking: print local results immediately, run the check in the background, report its outcome (human: ~3 days / CC: ~30 min)\n ✅ Developer sees scores at once while the binding still gets verified on every first run\n ✅ Preserves the existing progress and timeout messaging almost unchanged\n ❌ Background failure after success is confusing, and CI runners may exit before the check finishes\nC) Add an opt-out flag or offline mode, default stays blocking (human: ~1 day / CC: ~15 min)\n ✅ Small change to the contract and easy to document in the quickstart\n ✅ Gives the noninteractive CI mode a clean way to skip a check it does not need\n ❌ Default path still misses the target; the developer has to know the flag exists to escape\nD) Acceptable friction, keep the mandatory wait\n ✅ Zero implementation cost and no contract change in the beta\n ✅ Nothing to re-test in the first-run code path\n ❌ Locks in a 6-minute TTHW and abandons the agreed under-2-minute target\nNet: trading a documented but adoption-killing gate against a contract change that finally makes the settled benchmark reachable.",
|
|
"header": "CI gate",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Move check to live path (recommended)",
|
|
"description": "Demo and first local eval run without the remote CI check; the check runs on first keyed live eval or an explicit verify command."
|
|
},
|
|
{
|
|
"label": "B) Non-blocking background check",
|
|
"description": "Return local results immediately; run the CI check in the background and report when done."
|
|
},
|
|
{
|
|
"label": "C) Opt-out flag, default blocking",
|
|
"description": "Add a documented skip flag or offline mode; the default first run still waits."
|
|
},
|
|
{
|
|
"label": "D) Keep mandatory wait",
|
|
"description": "Accept the 6-minute first run and miss the under-2-minute target."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D3 — Journey stage HELLO WORLD: the mandatory 5-minute remote CI check blocks the first local result, including the keyless demo. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; tracing python -m evalkit.demo against the settled under-2-minute target.\nELI10: docs/current-contracts.md lines 3-5 say every first local evaluation must pass a remote CI check and blocks for five minutes, with no skip flag or offline path. README.md lines 17-23 confirm the keyless demo waits too. docs/benchmarks.md measured EvalKit at 6 minutes, 5 of which is this wait, against peers at 2 to 4 minutes and an agreed target under 2 minutes. The demo uses a mock transport and bundled data, so the check verifies a sample-project binding the developer does not own. The ML engineer wanted a local number before touching CI, and instead the SDK forces CI on them at minute one.\nStakes if we pick wrong: The 6-minute TTHW is the Needs Work tier and the target is mathematically unreachable while the gate stays. Developers alt-tab during the wait and many do not come back.\nRecommendation: A because it is the only option that hits the settled target, and the progress and timeout messages already in the contract stay useful on the live path. Violates Zero friction at T0 and Decide for me, let me override.\nCompleteness: A=10/10, B=7/10, C=5/10, D=2/10\nA) Move the CI check off the local and demo path; it runs on the first live keyed evaluation or via an explicit verify command (recommended) (human: ~3 days / CC: ~30 min)\n ✅ Demo and first local eval return in seconds; TTHW drops from 6 min to about 1 min, under target\n ✅ The check still guards production use where the sample-project binding actually matters\n ❌ Changes a documented first-run contract; needs a changelog entry and a docs update\nB) Keep the gate but make it non-blocking: print local results immediately, run the check in the background, report its outcome (human: ~3 days / CC: ~30 min)\n ✅ Developer sees scores at once while the binding still gets verified on every first run\n ✅ Preserves the existing progress and timeout messaging almost unchanged\n ❌ Background failure after success is confusing, and CI runners may exit before the check finishes\nC) Add an opt-out flag or offline mode, default stays blocking (human: ~1 day / CC: ~15 min)\n ✅ Small change to the contract and easy to document in the quickstart\n ✅ Gives the noninteractive CI mode a clean way to skip a check it does not need\n ❌ Default path still misses the target; the developer has to know the flag exists to escape\nD) Acceptable friction, keep the mandatory wait\n ✅ Zero implementation cost and no contract change in the beta\n ✅ Nothing to re-test in the first-run code path\n ❌ Locks in a 6-minute TTHW and abandons the agreed under-2-minute target\nNet: trading a documented but adoption-killing gate against a contract change that finally makes the settled benchmark reachable.": "A) Move check to live path (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:17:49.115Z"
|
|
},
|
|
{
|
|
"sessionId": "5139711c-562b-47db-81ea-387b171beaed",
|
|
"toolUseId": "toolu_01LwsoPGRLus2fTk1fjkfFTA",
|
|
"questions": [
|
|
{
|
|
"question": "D4 — Journey stage INSTALL/QUICKSTART: README.md tells the developer to run examples/first_eval.py, but that file is not in the wheel or the examples archive. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; tracing the quickstart command in README.md line 11 against docs/package-contents.txt.\nELI10: The quickstart's second step is python examples/first_eval.py. docs/package-contents.txt lists the published files: __init__.py, client.py, demo.py, sample_responses.json, README.md. No examples directory, and the release examples archive lacks the file too. So the ML engineer's first command after pip install fails with a file-not-found error. The working demo, python -m evalkit.demo, sits three paragraphs lower. The quickstart points at the broken path and buries the working one.\nStakes if we pick wrong: The very first thing the developer runs fails. Some scroll and recover; some conclude the beta is broken and leave before ever seeing the demo output.\nRecommendation: A because the demo module already exists, already works, and is the settled magical-moment vehicle, so the quickstart should lead with it and nothing else needs shipping. Violates Zero friction at T0 and Learn by doing.\nCompleteness: A=10/10, B=8/10, C=4/10\nA) Make python -m evalkit.demo the one quickstart command; remove the examples/first_eval.py reference (recommended) (human: ~1 hour / CC: ~5 min)\n ✅ One golden path with a command that is verified to exist in the published package\n ✅ Puts the settled magical moment first, right after pip install, where the clock is ticking\n ❌ Developers who wanted a script they can copy and edit have to open demo.py instead\nB) Ship examples/first_eval.py in the package and archive so the current README works as written (human: ~half day / CC: ~15 min)\n ✅ Gives the developer an editable script they can turn into their own first live eval\n ✅ Keeps the README text stable across the beta\n ❌ Two competing first-run paths cause decision fatigue, and the new file needs its own tests and packaging check\nC) Leave the README, add a note that the file is coming later\n ✅ No packaging or docs restructuring in the beta\n ✅ Signals the roadmap to early adopters\n ❌ The first documented command still fails for every developer who follows the quickstart\nNet: one verified command as the golden path versus preserving a script reference that currently sends every new developer into a dead end.",
|
|
"header": "Quickstart",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Demo is the quickstart (recommended)",
|
|
"description": "Point the quickstart at python -m evalkit.demo and drop the missing first_eval.py reference."
|
|
},
|
|
{
|
|
"label": "B) Ship first_eval.py",
|
|
"description": "Add the example script to the package and archive so the current README works."
|
|
},
|
|
{
|
|
"label": "C) Note it as coming later",
|
|
"description": "Keep the README and add a note that the example file is not yet published."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D4 — Journey stage INSTALL/QUICKSTART: README.md tells the developer to run examples/first_eval.py, but that file is not in the wheel or the examples archive. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; tracing the quickstart command in README.md line 11 against docs/package-contents.txt.\nELI10: The quickstart's second step is python examples/first_eval.py. docs/package-contents.txt lists the published files: __init__.py, client.py, demo.py, sample_responses.json, README.md. No examples directory, and the release examples archive lacks the file too. So the ML engineer's first command after pip install fails with a file-not-found error. The working demo, python -m evalkit.demo, sits three paragraphs lower. The quickstart points at the broken path and buries the working one.\nStakes if we pick wrong: The very first thing the developer runs fails. Some scroll and recover; some conclude the beta is broken and leave before ever seeing the demo output.\nRecommendation: A because the demo module already exists, already works, and is the settled magical-moment vehicle, so the quickstart should lead with it and nothing else needs shipping. Violates Zero friction at T0 and Learn by doing.\nCompleteness: A=10/10, B=8/10, C=4/10\nA) Make python -m evalkit.demo the one quickstart command; remove the examples/first_eval.py reference (recommended) (human: ~1 hour / CC: ~5 min)\n ✅ One golden path with a command that is verified to exist in the published package\n ✅ Puts the settled magical moment first, right after pip install, where the clock is ticking\n ❌ Developers who wanted a script they can copy and edit have to open demo.py instead\nB) Ship examples/first_eval.py in the package and archive so the current README works as written (human: ~half day / CC: ~15 min)\n ✅ Gives the developer an editable script they can turn into their own first live eval\n ✅ Keeps the README text stable across the beta\n ❌ Two competing first-run paths cause decision fatigue, and the new file needs its own tests and packaging check\nC) Leave the README, add a note that the file is coming later\n ✅ No packaging or docs restructuring in the beta\n ✅ Signals the roadmap to early adopters\n ❌ The first documented command still fails for every developer who follows the quickstart\nNet: one verified command as the golden path versus preserving a script reference that currently sends every new developer into a dead end.": "A) Demo is the quickstart (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:18:09.216Z"
|
|
},
|
|
{
|
|
"sessionId": "5139711c-562b-47db-81ea-387b171beaed",
|
|
"toolUseId": "toolu_01Axt6dTLrfDUfQPJzePRkAz",
|
|
"questions": [
|
|
{
|
|
"question": "D5 — Journey stage REAL USAGE: run_eval(dataset, evaluator) and run_batch(evaluator, dataset) take the same two concepts in reversed positional order. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; reviewing the public signatures in docs/api.md lines 3-9.\nELI10: The two evaluation functions are the whole public surface the ML engineer touches after the demo. One takes dataset first, the other evaluator first, both positional, and docs/api.md says the reversal is intentional. A developer who learns run_eval and then reaches for run_batch will swap the arguments. In Python nothing catches that until runtime, and depending on duck typing it may silently score the wrong thing. The good API test is: can this developer use it correctly after seeing one example? Here, no.\nStakes if we pick wrong: Swapped arguments produce confusing runtime errors or silently wrong scores in the first real script, and the beta signature becomes the thing 2.0 final has to break again.\nRecommendation: A because the beta is the last cheap moment to fix a signature, and making both functions keyword-friendly with the same order costs almost nothing. Violates Pit of Success and Fight uncertainty.\nCompleteness: A=10/10, B=7/10, C=2/10\nA) Same order in both functions, dataset then evaluator, with a clear runtime TypeError naming both arguments when a swap is detected (recommended) (human: ~half day / CC: ~15 min)\n ✅ One mental model across the API; learning run_eval teaches run_batch for free\n ✅ The swap check turns a silent wrong score into an actionable error on the first call\n ❌ run_batch callers written against the current draft order must flip their arguments before 2.0 final\nB) Keep both orders but make the arguments keyword-only so positional swaps are impossible (human: ~2 hours / CC: ~10 min)\n ✅ Eliminates the silent swap without changing either documented order\n ✅ Call sites become self-documenting: run_batch(evaluator=e, dataset=d)\n ❌ Every call gets longer, and the inconsistency stays in the docs as a permanent oddity\nC) Keep the reversed positional order as documented\n ✅ No signature change and no changelog entry in the beta\n ✅ Existing draft call sites keep working untouched\n ❌ The first thing the developer learns about the API is that it does not follow its own pattern\nNet: fixing the signature once now, while a beta can still change, versus carrying an inconsistency that every future caller has to memorize.",
|
|
"header": "Signatures",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Unify order + swap guard (recommended)",
|
|
"description": "Both functions take dataset then evaluator; a swap raises a TypeError that names both arguments."
|
|
},
|
|
{
|
|
"label": "B) Keyword-only arguments",
|
|
"description": "Keep both orders but require keyword arguments so positional swaps cannot happen."
|
|
},
|
|
{
|
|
"label": "C) Keep reversed order",
|
|
"description": "Ship the signatures exactly as documented in docs/api.md."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D5 — Journey stage REAL USAGE: run_eval(dataset, evaluator) and run_batch(evaluator, dataset) take the same two concepts in reversed positional order. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; reviewing the public signatures in docs/api.md lines 3-9.\nELI10: The two evaluation functions are the whole public surface the ML engineer touches after the demo. One takes dataset first, the other evaluator first, both positional, and docs/api.md says the reversal is intentional. A developer who learns run_eval and then reaches for run_batch will swap the arguments. In Python nothing catches that until runtime, and depending on duck typing it may silently score the wrong thing. The good API test is: can this developer use it correctly after seeing one example? Here, no.\nStakes if we pick wrong: Swapped arguments produce confusing runtime errors or silently wrong scores in the first real script, and the beta signature becomes the thing 2.0 final has to break again.\nRecommendation: A because the beta is the last cheap moment to fix a signature, and making both functions keyword-friendly with the same order costs almost nothing. Violates Pit of Success and Fight uncertainty.\nCompleteness: A=10/10, B=7/10, C=2/10\nA) Same order in both functions, dataset then evaluator, with a clear runtime TypeError naming both arguments when a swap is detected (recommended) (human: ~half day / CC: ~15 min)\n ✅ One mental model across the API; learning run_eval teaches run_batch for free\n ✅ The swap check turns a silent wrong score into an actionable error on the first call\n ❌ run_batch callers written against the current draft order must flip their arguments before 2.0 final\nB) Keep both orders but make the arguments keyword-only so positional swaps are impossible (human: ~2 hours / CC: ~10 min)\n ✅ Eliminates the silent swap without changing either documented order\n ✅ Call sites become self-documenting: run_batch(evaluator=e, dataset=d)\n ❌ Every call gets longer, and the inconsistency stays in the docs as a permanent oddity\nC) Keep the reversed positional order as documented\n ✅ No signature change and no changelog entry in the beta\n ✅ Existing draft call sites keep working untouched\n ❌ The first thing the developer learns about the API is that it does not follow its own pattern\nNet: fixing the signature once now, while a beta can still change, versus carrying an inconsistency that every future caller has to memorize.": "A) Unify order + swap guard (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:18:29.315Z"
|
|
},
|
|
{
|
|
"sessionId": "5139711c-562b-47db-81ea-387b171beaed",
|
|
"toolUseId": "toolu_01Snhr6ovogM3veYuae8g3tp",
|
|
"questions": [
|
|
{
|
|
"question": "D6 — Journey stage DEBUG: an invalid API key raises AuthError(\"request failed\") with no code, cause, or fix. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; reviewing the authentication error in docs/api.md lines 11-13.\nELI10: After the demo, the ML engineer creates a key in the console, exports EVALKIT_API_KEY, and runs their first live evaluation. If the key is mistyped, expired, revoked, or scoped to the wrong project, they see the two words request failed. That message is indistinguishable from a network outage or a server error. docs/current-contracts.md line 22 says every other error already names the cause and an actionable fix, so this is the one error that breaks the SDK's own standard, and it fires at the exact moment the developer goes from demo to real usage.\nStakes if we pick wrong: The developer cannot tell whether to fix their key, their network, or wait for the service. They open a support ticket or give up at the first live call.\nRecommendation: A because the SDK's other errors already follow the problem-cause-fix formula, so matching it here is consistency, not new design. Violates Fight uncertainty.\nCompleteness: A=10/10, B=7/10, C=1/10\nA) Structured auth error: code EVALKIT_AUTH_INVALID_KEY, cause (rejected key, redacted prefix, project), fix (create or rotate key at the console URL, re-export the variable), and a docs link (recommended) (human: ~half day / CC: ~15 min)\n ✅ Matches the Stripe tier: type, code, message, param, doc_url, so the developer and any log parser know exactly what failed\n ✅ Reuses the redaction and help-link patterns the other errors already have\n ❌ Needs the console key-management URL and the error code documented in the API reference\nB) Better message text only: AuthError(\"Invalid API key: check EVALKIT_API_KEY or create a new key at <console URL>\") (human: ~1 hour / CC: ~5 min)\n ✅ Tells the developer the cause and the fix in one line with minimal code change\n ✅ No new error-code registry to maintain in the beta\n ❌ No machine-readable code, so CI logs and support triage still grep for prose\nC) Keep AuthError(\"request failed\") as documented\n ✅ Zero change to the error contract in the beta\n ✅ Nothing new to document in docs/api.md\n ❌ The one error most developers will hit first is the one that tells them nothing\nNet: bringing the auth error up to the standard the SDK's other errors already meet versus leaving the first live-call failure unexplained.",
|
|
"header": "Auth error",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Structured code + cause + fix + link (recommended)",
|
|
"description": "EVALKIT_AUTH_INVALID_KEY with redacted key prefix, project, console URL for rotate/create, and a docs link."
|
|
},
|
|
{
|
|
"label": "B) Better message text only",
|
|
"description": "One-line message naming the env var and console URL; no error code."
|
|
},
|
|
{
|
|
"label": "C) Keep request failed",
|
|
"description": "Ship the auth error exactly as documented."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D6 — Journey stage DEBUG: an invalid API key raises AuthError(\"request failed\") with no code, cause, or fix. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; reviewing the authentication error in docs/api.md lines 11-13.\nELI10: After the demo, the ML engineer creates a key in the console, exports EVALKIT_API_KEY, and runs their first live evaluation. If the key is mistyped, expired, revoked, or scoped to the wrong project, they see the two words request failed. That message is indistinguishable from a network outage or a server error. docs/current-contracts.md line 22 says every other error already names the cause and an actionable fix, so this is the one error that breaks the SDK's own standard, and it fires at the exact moment the developer goes from demo to real usage.\nStakes if we pick wrong: The developer cannot tell whether to fix their key, their network, or wait for the service. They open a support ticket or give up at the first live call.\nRecommendation: A because the SDK's other errors already follow the problem-cause-fix formula, so matching it here is consistency, not new design. Violates Fight uncertainty.\nCompleteness: A=10/10, B=7/10, C=1/10\nA) Structured auth error: code EVALKIT_AUTH_INVALID_KEY, cause (rejected key, redacted prefix, project), fix (create or rotate key at the console URL, re-export the variable), and a docs link (recommended) (human: ~half day / CC: ~15 min)\n ✅ Matches the Stripe tier: type, code, message, param, doc_url, so the developer and any log parser know exactly what failed\n ✅ Reuses the redaction and help-link patterns the other errors already have\n ❌ Needs the console key-management URL and the error code documented in the API reference\nB) Better message text only: AuthError(\"Invalid API key: check EVALKIT_API_KEY or create a new key at <console URL>\") (human: ~1 hour / CC: ~5 min)\n ✅ Tells the developer the cause and the fix in one line with minimal code change\n ✅ No new error-code registry to maintain in the beta\n ❌ No machine-readable code, so CI logs and support triage still grep for prose\nC) Keep AuthError(\"request failed\") as documented\n ✅ Zero change to the error contract in the beta\n ✅ Nothing new to document in docs/api.md\n ❌ The one error most developers will hit first is the one that tells them nothing\nNet: bringing the auth error up to the standard the SDK's other errors already meet versus leaving the first live-call failure unexplained.": "A) Structured code + cause + fix + link (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:18:51.429Z"
|
|
},
|
|
{
|
|
"sessionId": "5139711c-562b-47db-81ea-387b171beaed",
|
|
"toolUseId": "toolu_01J1oQKw9i4Ye2v7KEcFfGDg",
|
|
"questions": [
|
|
{
|
|
"question": "D7 — Journey stage UPGRADE: v2 removes Client.evaluate() immediately in favor of Client.run(), with no alias, warning, migration guide, or codemod. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; reviewing the v1-to-v2 client change in docs/api.md lines 15-18.\nELI10: Every v1 user who pins to 2.0.0b1 gets AttributeError: 'Client' object has no attribute 'evaluate' on the first call, with nothing pointing them at run(). docs/api.md says the changelog is otherwise complete, so this is the one breaking change with no path across. Upgrades should be boring. Right now the ML engineer's production CI job fails at import time with a stack trace and a guess.\nStakes if we pick wrong: v1 users hold at v1, or their CI breaks on upgrade and the first thing they learn about 2.0 is that it broke them without warning.\nRecommendation: A because a one-method alias with a DeprecationWarning is a few lines, the warning text doubles as the migration guide, and the alias can be removed at 3.0 on a schedule. Violates Upgrade fear and Credible.\nCompleteness: A=10/10, B=7/10, C=4/10, D=1/10\nA) Keep Client.evaluate() as a deprecated alias for run() through 2.x with a DeprecationWarning naming the replacement and removal version, plus a migration section in the changelog and docs (recommended) (human: ~half day / CC: ~15 min)\n ✅ v1 code keeps working on upgrade; the warning tells the developer exactly what to change and by when\n ✅ Cheap: one forwarding method, one warning string, one changelog section\n ❌ Carries the old name through the 2.x line, which the removal schedule has to enforce\nB) Deprecated alias plus a codemod that rewrites .evaluate( to .run( (human: ~2 days / CC: ~30 min)\n ✅ Next.js-style one-command upgrade; large codebases migrate in seconds\n ✅ The alias still protects anyone who does not run the codemod\n ❌ A codemod is a new tool to test and support for a single-method rename; oversized for the beta\nC) No alias, but a migration guide and a clear AttributeError hint pointing at run() (human: ~2 hours / CC: ~10 min)\n ✅ Keeps the v2 surface clean with no legacy name\n ✅ The hint turns a bare AttributeError into an actionable one-line fix\n ❌ v1 code still breaks on upgrade; only the error message improves\nD) Remove evaluate() immediately as documented\n ✅ No compatibility code to maintain\n ✅ Nothing new to write in the beta\n ❌ Every v1 user breaks with no warning and no pointer to the new name\nNet: a few lines of alias and warning text versus a hard break that teaches v1 users not to trust EvalKit upgrades.",
|
|
"header": "v1 to v2",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Deprecated alias + warning + guide (recommended)",
|
|
"description": "evaluate() forwards to run() with a DeprecationWarning through 2.x; changelog gets a migration section."
|
|
},
|
|
{
|
|
"label": "B) Alias + codemod",
|
|
"description": "Same as A plus a script that rewrites .evaluate( to .run( across a codebase."
|
|
},
|
|
{
|
|
"label": "C) Guide + AttributeError hint, no alias",
|
|
"description": "Remove the method but make the error and changelog point at run()."
|
|
},
|
|
{
|
|
"label": "D) Remove immediately",
|
|
"description": "Ship the hard removal exactly as documented."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D7 — Journey stage UPGRADE: v2 removes Client.evaluate() immediately in favor of Client.run(), with no alias, warning, migration guide, or codemod. Fix it in the plan?\nProject/branch/task: EvalKit SDK beta polish on main; reviewing the v1-to-v2 client change in docs/api.md lines 15-18.\nELI10: Every v1 user who pins to 2.0.0b1 gets AttributeError: 'Client' object has no attribute 'evaluate' on the first call, with nothing pointing them at run(). docs/api.md says the changelog is otherwise complete, so this is the one breaking change with no path across. Upgrades should be boring. Right now the ML engineer's production CI job fails at import time with a stack trace and a guess.\nStakes if we pick wrong: v1 users hold at v1, or their CI breaks on upgrade and the first thing they learn about 2.0 is that it broke them without warning.\nRecommendation: A because a one-method alias with a DeprecationWarning is a few lines, the warning text doubles as the migration guide, and the alias can be removed at 3.0 on a schedule. Violates Upgrade fear and Credible.\nCompleteness: A=10/10, B=7/10, C=4/10, D=1/10\nA) Keep Client.evaluate() as a deprecated alias for run() through 2.x with a DeprecationWarning naming the replacement and removal version, plus a migration section in the changelog and docs (recommended) (human: ~half day / CC: ~15 min)\n ✅ v1 code keeps working on upgrade; the warning tells the developer exactly what to change and by when\n ✅ Cheap: one forwarding method, one warning string, one changelog section\n ❌ Carries the old name through the 2.x line, which the removal schedule has to enforce\nB) Deprecated alias plus a codemod that rewrites .evaluate( to .run( (human: ~2 days / CC: ~30 min)\n ✅ Next.js-style one-command upgrade; large codebases migrate in seconds\n ✅ The alias still protects anyone who does not run the codemod\n ❌ A codemod is a new tool to test and support for a single-method rename; oversized for the beta\nC) No alias, but a migration guide and a clear AttributeError hint pointing at run() (human: ~2 hours / CC: ~10 min)\n ✅ Keeps the v2 surface clean with no legacy name\n ✅ The hint turns a bare AttributeError into an actionable one-line fix\n ❌ v1 code still breaks on upgrade; only the error message improves\nD) Remove evaluate() immediately as documented\n ✅ No compatibility code to maintain\n ✅ Nothing new to write in the beta\n ❌ Every v1 user breaks with no warning and no pointer to the new name\nNet: a few lines of alias and warning text versus a hard break that teaches v1 users not to trust EvalKit upgrades.": "A) Deprecated alias + warning + guide (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-09T20:19:15.558Z"
|
|
}
|
|
],
|
|
"historicalOutcome": "ceiling_reached",
|
|
"legacyReviewCount": 8,
|
|
"genuineDecisions": 8,
|
|
"observationSha256": "8412dec128155b28ce10dc0c9aaae82069bf3dfd5d22e3afabf70d1ba39da2ff"
|
|
}
|
|
],
|
|
"capture77": {
|
|
"sourceHead": "77fd0890ddfeaf2bdd6d78183a2d989d9a4e8d4c",
|
|
"fullPublicCaptureSha256": "25941f779b15df49295ff9b2f134d1391337ae37d8ac3b6fc86ac622a0e128a0",
|
|
"historicalOutcome": "plan_ready; seeded-gap assertion failed: opaque-auth-error, breaking-upgrade",
|
|
"provenance": "Five complete original native seed decisions from the ten-call public capture; exact questions, options, answers and session identities. Unrelated setup, narrative and later decisions are omitted. No paid failure is rejudged.",
|
|
"calls": [
|
|
{
|
|
"sessionId": "d163ed32-3fa3-4347-b9d4-7ea00e072b43",
|
|
"toolUseId": "toolu_01QGqFDXcQtJspvbz4m3SxgP",
|
|
"questions": [
|
|
{
|
|
"question": "D5 — Authentication error: what does the developer see when their API key is rejected?\nProject/branch/task: EvalKit SDK on main; Real Usage and Debug stages, first live evaluation after the demo.\nELI10: Right after the keyless demo, the developer creates a key in the console and exports EVALKIT_API_KEY (README.md:25-27). If that key is stale, mistyped, revoked, or simply not exported, the SDK raises `AuthError(\"request failed\")` (docs/api.md:11). 'request failed' could mean DNS, a proxy, a rate limit, or the key. Your other errors already say what broke, which argument or file, and how to fix it (docs/current-contracts.md:21-23); this one does not. The developer's next move is guessing or opening a support ticket.\nStakes if we pick wrong: the first live call, the moment they decide whether EvalKit is real, ends in an unexplained failure; support gets 'request failed' tickets with no code to search on.\nRecommendation: A because it applies the error contract the SDK already enforces everywhere else, and the fix URL is the console page README already documents.\nCompleteness: A=9/10, B=7/10, C=3/10\nNet: A makes auth failures self-serve and searchable; B covers the common case with one message; C keeps the only error in the SDK that violates its own standard.",
|
|
"header": "Auth error",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Structured AuthError: code + cause + fix, per state (recommended)",
|
|
"description": "Keep the AuthError class. Message gains a stable code and a state-specific cause and fix: EVALKIT_AUTH_MISSING_KEY (env var unset: 'export EVALKIT_API_KEY=... ; create one at https://console.evalkit.example/settings/api-keys'), EVALKIT_AUTH_INVALID_KEY (rejected/revoked: 'rotate or create a key at <same URL>, then re-export'). Never echoes the key; includes the help link and the request/eval id for support. Documented in docs/api.md. (human: ~1 day / CC: ~20 min)\n✅ Matches the problem+cause+fix contract every other EvalKit error already meets.\n✅ A searchable code turns 'request failed' tickets into a docs lookup.\n✅ Missing vs invalid key are the two states developers actually hit; each gets its own next step.\n❌ Changes a documented message; api.md and the changelog need the new text, and any test asserting 'request failed' must be updated."
|
|
},
|
|
{
|
|
"label": "B) Single improved message, no per-state split",
|
|
"description": "Keep AuthError; replace 'request failed' with one message: 'API key rejected (EVALKIT_AUTH_INVALID_KEY). Create or rotate a key at https://console.evalkit.example/settings/api-keys and export EVALKIT_API_KEY.'\n✅ One string change; smallest possible runtime diff for the beta.\n✅ Still gives a code, a cause and a fix URL, which is 90% of the value.\n❌ A developer who forgot to export the variable is told their key was rejected, which is wrong and sends them to rotate a key that was never sent."
|
|
},
|
|
{
|
|
"label": "C) Retain `AuthError(\"request failed\")`, document its meaning in api.md",
|
|
"description": "No runtime change; docs/api.md explains that 'request failed' from AuthError means the key was rejected and links the console page.\n✅ Zero code risk before the beta ships.\n✅ Developers who read api.md can decode the message.\n❌ Every error is pain; this one forces a context switch to docs to learn it means 'your key is bad', and remains unsearchable and indistinguishable from network failures at a glance."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D5 — Authentication error: what does the developer see when their API key is rejected?\nProject/branch/task: EvalKit SDK on main; Real Usage and Debug stages, first live evaluation after the demo.\nELI10: Right after the keyless demo, the developer creates a key in the console and exports EVALKIT_API_KEY (README.md:25-27). If that key is stale, mistyped, revoked, or simply not exported, the SDK raises `AuthError(\"request failed\")` (docs/api.md:11). 'request failed' could mean DNS, a proxy, a rate limit, or the key. Your other errors already say what broke, which argument or file, and how to fix it (docs/current-contracts.md:21-23); this one does not. The developer's next move is guessing or opening a support ticket.\nStakes if we pick wrong: the first live call, the moment they decide whether EvalKit is real, ends in an unexplained failure; support gets 'request failed' tickets with no code to search on.\nRecommendation: A because it applies the error contract the SDK already enforces everywhere else, and the fix URL is the console page README already documents.\nCompleteness: A=9/10, B=7/10, C=3/10\nNet: A makes auth failures self-serve and searchable; B covers the common case with one message; C keeps the only error in the SDK that violates its own standard.": "A) Structured AuthError: code + cause + fix, per state (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T17:28:29.849Z"
|
|
},
|
|
{
|
|
"sessionId": "d163ed32-3fa3-4347-b9d4-7ea00e072b43",
|
|
"toolUseId": "toolu_01LysC1TJ8hNg99KxYdZh6zp",
|
|
"questions": [
|
|
{
|
|
"question": "D7 — v1→v2 upgrade: what happens to a v1 script that calls `Client.evaluate()` after `pip install evalkit==2.0.0b1`?\nProject/branch/task: EvalKit SDK on main; Upgrade stage of the journey trace.\nELI10: Version 1 exposes Client.evaluate(). 2.0 renames it to Client.run() and deletes the old name on the spot, with no alias, no warning, no migration guide, no codemod (docs/api.md:15-17). Every existing user who upgrades gets `AttributeError: 'Client' object has no attribute 'evaluate'` in production or CI, and Python gives them no hint that run() is the replacement. The changelog is otherwise complete (api.md:18), so this is the single upgrade hole.\nStakes if we pick wrong: the first thing existing customers learn about 2.0 is that it broke their pipeline without telling them why; that is the upgrade-fear story that stalls every later release.\nRecommendation: A because a one-line alias plus a DeprecationWarning makes the upgrade boring, and 2.0 already carries three other contract changes (D3, D5, D6) that a migration guide must cover anyway.\nCompleteness: A=9/10, B=7/10, C=2/10\nNet: A keeps v1 code running while telling it exactly what to change; B breaks it but explains; C breaks it silently.",
|
|
"header": "v1→v2",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Deprecated alias through 2.x + migration guide (recommended)",
|
|
"description": "Client.evaluate() stays as a thin wrapper that calls Client.run() and emits DeprecationWarning('Client.evaluate() is deprecated; use Client.run(). Removed in 3.0. See <migration guide URL>'). Changelog gains a 'Migrating from 1.x' section covering: evaluate→run (with a one-line sed/grep), run_batch argument order (D6), new AuthError codes (D5), CI check now runs before the first live eval (D3). Alias removed in 3.0. (human: ~half day / CC: ~15 min)\n✅ Existing pipelines keep passing on upgrade day; the warning names the exact edit.\n✅ One guide covers all four 2.0 contract changes, so upgraders read one page, not four.\n✅ Standard Python deprecation shape (warnings module), so CI can opt into -W error to enforce migration on their schedule.\n❌ Carries one alias and one warning through the 2.x line; needs a tracked removal task for 3.0."
|
|
},
|
|
{
|
|
"label": "B) Remove as drafted, but fail with a pointer + migration guide",
|
|
"description": "No alias. Client defines __getattr__ so 'evaluate' raises AttributeError('Client.evaluate() was renamed to Client.run() in 2.0; see <migration guide>'). Same 'Migrating from 1.x' changelog section as A.\n✅ Clean 2.0 API surface with no legacy names to remove later.\n✅ The break is self-explaining: the error tells the developer the rename and where to read more.\n❌ Still a hard break on upgrade day; every v1 caller must edit code before anything runs again."
|
|
},
|
|
{
|
|
"label": "C) Retain as drafted: immediate removal, no alias, warning, or guide",
|
|
"description": "Ship docs/api.md:15-17 unchanged.\n✅ Zero additional work before the beta.\n✅ Smallest possible 2.0 surface area.\n❌ Upgrading users hit a bare AttributeError with no hint that run() exists; the only fix path is reading source or filing a ticket."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D7 — v1→v2 upgrade: what happens to a v1 script that calls `Client.evaluate()` after `pip install evalkit==2.0.0b1`?\nProject/branch/task: EvalKit SDK on main; Upgrade stage of the journey trace.\nELI10: Version 1 exposes Client.evaluate(). 2.0 renames it to Client.run() and deletes the old name on the spot, with no alias, no warning, no migration guide, no codemod (docs/api.md:15-17). Every existing user who upgrades gets `AttributeError: 'Client' object has no attribute 'evaluate'` in production or CI, and Python gives them no hint that run() is the replacement. The changelog is otherwise complete (api.md:18), so this is the single upgrade hole.\nStakes if we pick wrong: the first thing existing customers learn about 2.0 is that it broke their pipeline without telling them why; that is the upgrade-fear story that stalls every later release.\nRecommendation: A because a one-line alias plus a DeprecationWarning makes the upgrade boring, and 2.0 already carries three other contract changes (D3, D5, D6) that a migration guide must cover anyway.\nCompleteness: A=9/10, B=7/10, C=2/10\nNet: A keeps v1 code running while telling it exactly what to change; B breaks it but explains; C breaks it silently.": "A) Deprecated alias through 2.x + migration guide (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T17:29:30.526Z"
|
|
}
|
|
],
|
|
"scope": "Only the two relevant complete native decisions; original complete ten-call replay remains in private evidence."
|
|
},
|
|
"capture77Retry": {
|
|
"source": "77fd0890ddfeaf2bdd6d78183a2d989d9a4e8d4c",
|
|
"historicalOutcome": "plan_ready; seeded-gap assertion failed (opaque-auth-error, breaking-upgrade), no paid pass credit",
|
|
"publicCaptureSha256": "aa5ccdf29bc445188582fb185d5086f9e6e16bfe0b7e0e254b7dbc33926265a1",
|
|
"scope": "Two relevant complete native decisions plus the future TODO disposition that must not replace the missing current quickstart decision; full ten-call replay remains private evidence.",
|
|
"calls": [
|
|
{
|
|
"sessionId": "b1038864-4a5c-40a9-81e6-d623f74a640f",
|
|
"toolUseId": "toolu_01LanPwovYCXqQvwk6SG5qXU",
|
|
"questions": [
|
|
{
|
|
"question": "D5 — What should the developer see when their API key is rejected?\nProject/branch/task: EvalKit SDK beta polish on `main`; Debug stage, contract E3 (docs/api.md:11-13).\nELI10: The first thing a developer does after the demo is paste a key. If they paste it wrong, or it was revoked, they get `AuthError(\"request failed\")`. That could mean network, server, anything. They will go check their Wi-Fi before they check the key. Every other EvalKit error already says problem, cause and fix (current-contracts.md:21-23); this is the single exception, and it sits exactly at the moment of first real usage. The key creation page and its revoke/rotate controls already exist (README.md:25-28), so the fix text has a real destination.\nStakes if we pick wrong: A developer with a bad key burns 10-20 minutes debugging the wrong layer at the exact step where they decide whether to keep going.\nRecommendation: A because it brings AuthError up to the contract every other error already meets, and the destination URL already exists.\nCompleteness: A=10/10, B=5/10, C=1/10\nA) Full problem + cause + fix, with a stable code (recommended)\n ✅ e.g. `AuthError: API key rejected (EVALKIT_AUTH_INVALID_KEY). Cause: EVALKIT_API_KEY is missing, invalid, or revoked. Fix: create or rotate a key at https://console.evalkit.example/settings/api-keys and export EVALKIT_API_KEY.` Key value never echoed.\n ✅ Distinguishes missing / invalid / revoked when the API reports distinct statuses; `code` attribute lets CI scripts branch on it\n ❌ Touches an explicitly retained message; needs a test per variant and a docs entry alongside EVALKIT_CI_TIMEOUT\nB) Append the console URL to the existing message\n ✅ One-line change; developer at least learns where keys live\n ✅ No new error code or attribute to document\n ❌ Still no cause; \"request failed\" still reads as a network problem\nC) Keep `AuthError(\"request failed\")` as planned\n ✅ No change to retained behavior\n ❌ Only error in the SDK that violates its own error contract, at the highest-stakes step\nNet: trading a small error-class change against the one moment a confused developer walks away.",
|
|
"header": "AuthError",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Problem + cause + fix + code (recommended)",
|
|
"description": "Stable code EVALKIT_AUTH_INVALID_KEY, cause, console URL fix, secret redacted; variants for missing/invalid/revoked where API distinguishes."
|
|
},
|
|
{
|
|
"label": "B) Add console URL only",
|
|
"description": "Keep 'request failed', append the key page URL."
|
|
},
|
|
{
|
|
"label": "C) Keep as planned",
|
|
"description": "AuthError('request failed') unchanged."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D5 — What should the developer see when their API key is rejected?\nProject/branch/task: EvalKit SDK beta polish on `main`; Debug stage, contract E3 (docs/api.md:11-13).\nELI10: The first thing a developer does after the demo is paste a key. If they paste it wrong, or it was revoked, they get `AuthError(\"request failed\")`. That could mean network, server, anything. They will go check their Wi-Fi before they check the key. Every other EvalKit error already says problem, cause and fix (current-contracts.md:21-23); this is the single exception, and it sits exactly at the moment of first real usage. The key creation page and its revoke/rotate controls already exist (README.md:25-28), so the fix text has a real destination.\nStakes if we pick wrong: A developer with a bad key burns 10-20 minutes debugging the wrong layer at the exact step where they decide whether to keep going.\nRecommendation: A because it brings AuthError up to the contract every other error already meets, and the destination URL already exists.\nCompleteness: A=10/10, B=5/10, C=1/10\nA) Full problem + cause + fix, with a stable code (recommended)\n ✅ e.g. `AuthError: API key rejected (EVALKIT_AUTH_INVALID_KEY). Cause: EVALKIT_API_KEY is missing, invalid, or revoked. Fix: create or rotate a key at https://console.evalkit.example/settings/api-keys and export EVALKIT_API_KEY.` Key value never echoed.\n ✅ Distinguishes missing / invalid / revoked when the API reports distinct statuses; `code` attribute lets CI scripts branch on it\n ❌ Touches an explicitly retained message; needs a test per variant and a docs entry alongside EVALKIT_CI_TIMEOUT\nB) Append the console URL to the existing message\n ✅ One-line change; developer at least learns where keys live\n ✅ No new error code or attribute to document\n ❌ Still no cause; \"request failed\" still reads as a network problem\nC) Keep `AuthError(\"request failed\")` as planned\n ✅ No change to retained behavior\n ❌ Only error in the SDK that violates its own error contract, at the highest-stakes step\nNet: trading a small error-class change against the one moment a confused developer walks away.": "A) Problem + cause + fix + code (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T17:44:17.466Z"
|
|
},
|
|
{
|
|
"sessionId": "b1038864-4a5c-40a9-81e6-d623f74a640f",
|
|
"toolUseId": "toolu_01VGDfp6ESfQKqhXmmN2WCHP",
|
|
"questions": [
|
|
{
|
|
"question": "D6 — How does a v1 user of `Client.evaluate()` reach `Client.run()` in 2.0?\nProject/branch/task: EvalKit SDK beta polish on `main`; Upgrade stage, contract E5 (docs/api.md:15-18).\nELI10: Your persona wires EvalKit into production CI. When they bump to 2.0, every `client.evaluate(...)` call dies with a generic AttributeError that names nothing about `run()`. That is the upgrade-fear scenario: a routine version bump breaks CI with no hint. The rename is one word, so a codemod is overkill, but the developer still needs a warning before the break, or at minimum an error that tells them the new name. D4 already adds a second break (run_batch order), so the migration section has two entries either way.\nStakes if we pick wrong: Broken CI on upgrade with no explanation; developers pin to 1.x and stop upgrading, which kills beta feedback.\nRecommendation: A because a warned alias makes the upgrade boring and costs a few lines.\nCompleteness: A=9/10, B=7/10, C=4/10, D=1/10\nA) Keep `evaluate()` as a deprecated alias in 2.0 with a DeprecationWarning; remove in 3.0 (recommended)\n ✅ 2.0 upgrade never breaks a v1 call; the warning names `run()` and the removal version\n ✅ Migration section in the changelog covers `evaluate -> run` and the `run_batch` order change from D4\n ❌ Old name lingers one more major; two spellings exist in 2.x docs and completions\nB) Remove it, but raise a clear error pointing at `run()`\n ✅ Clean 2.0 surface; the failure says exactly what to change\n ✅ Still gets the changelog migration section\n ❌ Upgrade still breaks CI on first run; a stub method exists only to fail\nC) No alias or stub; add a migration guide section to the changelog only\n ✅ Zero runtime code\n ✅ Discoverable for developers who read release notes\n ❌ The AttributeError itself stays silent; most developers hit the error before the notes\nD) Keep as planned: hard removal, no guide\n ✅ Nothing to do\n ❌ Changelog cannot be called complete with an undocumented breaking rename\nNet: trading a lingering alias for one major against a silent production break on a version bump.",
|
|
"header": "Upgrade",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Deprecated alias + warning, remove in 3.0 (recommended)",
|
|
"description": "evaluate() delegates to run() with DeprecationWarning naming run() and 3.0; migration section covers both breaks."
|
|
},
|
|
{
|
|
"label": "B) Remove, raise clear error",
|
|
"description": "evaluate() stub raises an error naming run(); migration section added."
|
|
},
|
|
{
|
|
"label": "C) Migration guide only",
|
|
"description": "No runtime change; document evaluate -> run and run_batch order in the changelog."
|
|
},
|
|
{
|
|
"label": "D) Keep as planned",
|
|
"description": "Hard removal, no guide."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D6 — How does a v1 user of `Client.evaluate()` reach `Client.run()` in 2.0?\nProject/branch/task: EvalKit SDK beta polish on `main`; Upgrade stage, contract E5 (docs/api.md:15-18).\nELI10: Your persona wires EvalKit into production CI. When they bump to 2.0, every `client.evaluate(...)` call dies with a generic AttributeError that names nothing about `run()`. That is the upgrade-fear scenario: a routine version bump breaks CI with no hint. The rename is one word, so a codemod is overkill, but the developer still needs a warning before the break, or at minimum an error that tells them the new name. D4 already adds a second break (run_batch order), so the migration section has two entries either way.\nStakes if we pick wrong: Broken CI on upgrade with no explanation; developers pin to 1.x and stop upgrading, which kills beta feedback.\nRecommendation: A because a warned alias makes the upgrade boring and costs a few lines.\nCompleteness: A=9/10, B=7/10, C=4/10, D=1/10\nA) Keep `evaluate()` as a deprecated alias in 2.0 with a DeprecationWarning; remove in 3.0 (recommended)\n ✅ 2.0 upgrade never breaks a v1 call; the warning names `run()` and the removal version\n ✅ Migration section in the changelog covers `evaluate -> run` and the `run_batch` order change from D4\n ❌ Old name lingers one more major; two spellings exist in 2.x docs and completions\nB) Remove it, but raise a clear error pointing at `run()`\n ✅ Clean 2.0 surface; the failure says exactly what to change\n ✅ Still gets the changelog migration section\n ❌ Upgrade still breaks CI on first run; a stub method exists only to fail\nC) No alias or stub; add a migration guide section to the changelog only\n ✅ Zero runtime code\n ✅ Discoverable for developers who read release notes\n ❌ The AttributeError itself stays silent; most developers hit the error before the notes\nD) Keep as planned: hard removal, no guide\n ✅ Nothing to do\n ❌ Changelog cannot be called complete with an undocumented breaking rename\nNet: trading a lingering alias for one major against a silent production break on a version bump.": "A) Deprecated alias + warning, remove in 3.0 (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T17:44:44.093Z"
|
|
},
|
|
{
|
|
"sessionId": "b1038864-4a5c-40a9-81e6-d623f74a640f",
|
|
"toolUseId": "toolu_01EDP2p1Hpjq85qycd3xrb2E",
|
|
"questions": [
|
|
{
|
|
"question": "D9 — TODO: ship `examples/first_eval.py` as a real-usage example in a later release?\nProject/branch/task: EvalKit SDK beta polish on `main`; TODOS.md candidate from the E4 finding.\nELI10: The beta README currently points at `examples/first_eval.py`, which does not exist (docs/package-contents.txt:8-9). The in-scope fix repoints the README at the shipped demo. The file itself, a runnable end-to-end example against a developer's own dataset with error handling, would still be useful later, but adding it changes the package inventory the plan fixes for beta.\nWhat: Add `examples/first_eval.py` (own dataset, client setup, run_eval, AuthError handling) to the examples archive.\nWhy: 'Show code in context' beyond the README snippet; the demo scores bundled data only.\nPros: Real-usage example developers can copy into their repo; doubles as an integration test.\nCons: Inventory change; another artifact to keep in sync with the API.\nContext: D8 adds a README snippet for beta; this TODO is the fuller example file. Depends on D4 order and D5 error shape landing first.\nStakes if we pick wrong: Low; this is a follow-up, not a beta blocker.\nRecommendation: A because it is cheap to record now and the README snippet already carries beta.\nNote: options differ in kind, not coverage — no completeness score.\nA) Add to TODOS.md (recommended)\n ✅ Captures the gap with context while it is fresh; no beta scope change\n ✅ Someone can pick it up in 3 months with D4/D5 already shipped\n ❌ One more open item on the backlog\nB) Skip\n ✅ README snippet from D8 may be enough for this persona\n ❌ The dead-file finding leaves no trace once the README is repointed\nC) Build it now (adds to beta inventory)\n ✅ Beta ships with a full example\n ❌ Crosses the fixed package-inventory boundary of this plan\nNet: record vs forget vs expand scope.",
|
|
"header": "TODO",
|
|
"multiSelect": false,
|
|
"options": [
|
|
{
|
|
"label": "A) Add to TODOS.md (recommended)",
|
|
"description": "Record the example-file follow-up with context; no beta scope change."
|
|
},
|
|
{
|
|
"label": "B) Skip",
|
|
"description": "Do not record; README snippet suffices."
|
|
},
|
|
{
|
|
"label": "C) Build it now",
|
|
"description": "Add examples/first_eval.py to the beta inventory (scope expansion)."
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"answered": true,
|
|
"failed": false,
|
|
"answers": {
|
|
"D9 — TODO: ship `examples/first_eval.py` as a real-usage example in a later release?\nProject/branch/task: EvalKit SDK beta polish on `main`; TODOS.md candidate from the E4 finding.\nELI10: The beta README currently points at `examples/first_eval.py`, which does not exist (docs/package-contents.txt:8-9). The in-scope fix repoints the README at the shipped demo. The file itself, a runnable end-to-end example against a developer's own dataset with error handling, would still be useful later, but adding it changes the package inventory the plan fixes for beta.\nWhat: Add `examples/first_eval.py` (own dataset, client setup, run_eval, AuthError handling) to the examples archive.\nWhy: 'Show code in context' beyond the README snippet; the demo scores bundled data only.\nPros: Real-usage example developers can copy into their repo; doubles as an integration test.\nCons: Inventory change; another artifact to keep in sync with the API.\nContext: D8 adds a README snippet for beta; this TODO is the fuller example file. Depends on D4 order and D5 error shape landing first.\nStakes if we pick wrong: Low; this is a follow-up, not a beta blocker.\nRecommendation: A because it is cheap to record now and the README snippet already carries beta.\nNote: options differ in kind, not coverage — no completeness score.\nA) Add to TODOS.md (recommended)\n ✅ Captures the gap with context while it is fresh; no beta scope change\n ✅ Someone can pick it up in 3 months with D4/D5 already shipped\n ❌ One more open item on the backlog\nB) Skip\n ✅ README snippet from D8 may be enough for this persona\n ❌ The dead-file finding leaves no trace once the README is repointed\nC) Build it now (adds to beta inventory)\n ✅ Beta ships with a full example\n ❌ Crosses the fixed package-inventory boundary of this plan\nNet: record vs forget vs expand scope.": "A) Add to TODOS.md (recommended)"
|
|
},
|
|
"unansweredQuestionIndices": [],
|
|
"answeredAt": "2026-09-15T17:48:55.509Z"
|
|
}
|
|
]
|
|
}
|
|
}
|