## Thinking Path > - Paperclip manages AI agents and governs their work. > - Its native runner uses structured provider protocols for sessions and tools. > - Grok Build supports ACP over stdio, but the runner did not expose it. > - Native execution requires company-scoped credentials, verified identities, and permission gates. > - This change adds Grok through ACPX for local and Daytona execution. > - Subscription login and explicit API-key execution have separate credential paths. > - Qualification grades real tool outcomes, durable state, and browser workflows. ## Linked Issues or Issue Description Refs #13845, #13847, #13850, #13878, #13901, #13973, #13977, #13979. Add **Grok Build** to `paperclip_runner` with `provider: "acpx"`, `acpxAgent: "grok"`, and model `grok-4.7`. Existing legacy Grok agents keep their adapter. Merge the three companion fixes (#13973, #13977, #13979) before treating the integrated Product qualification as deployed behavior. ## What Changed - Synchronize shared, TypeScript, Rust, server, validation, and UI provider contracts. - Run Grok native ACP stdio through ACPX and the authenticated Paperclip MCP bridge. Verify the pinned executable and exact ACP model identity. - Prefer company subscription login. Support an explicit company-secret API key without automatic paid fallback. Fence refresh and copyback to the same account and remove private runtime credentials after containment. - Preserve selected permissions, cancellation, durable session identity, resume, and restart recovery. Keep unsupported steering and goals unavailable. Preserve missing usage and cost as unknown. - Package checksum-verified Grok Build 1.0.13 for Daytona with an immutable, signed image built on EC2. - Add deterministic admission, protocol, permissions, identity, credential, failure, and cleanup checks. Add the maintained 39-case protocol roster and separate subscription/API Product profiles. - Fix live-test findings in reasoning events, reloads, idle-owner retirement, credential-home cleanup, expired-login model discovery, launcher pinning, and rerun evidence selection. - Align control-plane state readers with the transport's 64 MiB bound while retaining identity, ownership, lifecycle, and size rejection checks. - Stabilize two asynchronous CI assertions while retaining actual outcome and filesystem-evidence checks. ## Verification Current integration head `f114948376056fe0b6b34c1496ae8667b59daa63` includes master `3447609d2247e75e55d91493dda91a608364f672` (2026-09-28). Two master advances during verification overlapped the eval catalog; the final merge preserves Grok qualification, completion updates, and bounded API-response reading in all 348 cells. All 77 focused catalog/eval/workflow tests pass. Both native stack layers (#14397) are mergeable, and both exact-head Greptile reviews are 5/5 with successful security scans and no unresolved review threads. All current-head CI is green: 56 successful checks/statuses and four intentional skips ([CI run](https://github.com/paperclipai/paperclip/actions/runs/36447097232)). Trunk code-owner requirements remain enforced. The review summary’s non-blocking saved-asset offset classification note concerns code already merged in #14301; those runtime files are identical to master and outside this stack’s diff. Historical live evidence below retains its original source revisions. Earlier integration checkpoint: `24fc9b94ca0afb21ccdc8d26dbb2e4b258ad72cb`. Refreshed against master `0f14d2612`, preserving Grok qualification alongside the new accounting and lifecycle suites. All 124 focused catalog, evidence, and service-worker checks pass. The current base workflow includes the explicitly selected public-install verification lane; follow-up #14024 supplies its verifier script. CI at that earlier checkpoint was green (56 successful checks/statuses, four intentional skips), and the review is 5/5 with no unresolved findings. Prior feature CI at `fd73f0a9b1ecdf4094685054028df71739ddc3e1` passed ([run 36148259902](https://github.com/paperclipai/paperclip/actions/runs/36148259902)); that is historical evidence, not a current-head result. Paid Product measurements use frozen integrated source `2d939a92b21dcaf5c77c88b54d96784d2ddd0699`, which combines the feature with #13973, #13977, and #13979. That source passed all 52 CI checks and clean 5/5 review. Later master syncs incorporate upstream changes. Their checks remain separate from these pinned live measurements. | Check | Result and source-pinned report | | --- | --- | | Subscription protocol roster | [39/39 first attempts; 206 assertions](https://d1p6rlowie26tp.cloudfront.net/runner-protocol-evals/campaigns/gha-36046839612-1/index.html), runtime `bc6833f7`, evals `92bb4b8c` | | API protocol roster | [39/39 first attempts; 206 assertions](https://d1p6rlowie26tp.cloudfront.net/runner-protocol-evals/campaigns/gha-35926577007-1/index.html), runtime `4a1061c8`, evals `3213dbec` | | Subscription full Product matrix | [16/16 first attempts; 144 assertions; cleanup passed](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36096908572-1/index.html), source `2d939a92` | | Subscription core repetitions | 18/18: tool use, planning approval, and Stop/resume each passed three times in local and Daytona profiles. The full matrix contains repetition one; [repeat two](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36104551060-1/index.html) and [repeat three](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36108100404-1/index.html) each passed 6/6. Total: 28 unique subscription attempts at `2d939a92`. | | API smoke and question continuation | [4/4 first attempts; cleanup passed](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-36147315401-1/index.html), both environments at `2d939a92` | | Historical API Product coverage | [16/16 full matrix](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-35875144860-1/index.html) and 18/18 core repetitions at `4a1061c8`; retained as measurements of that revision | | Native Daytona proof | Three subscription and three API MCP/permissions/resume runs passed at `bc6833f7`. Three expired-login admission and fenced refresh checks passed without inference. All test sandboxes were removed. | | Inspectable artifacts and UI | Current-source screenshots verify planning approval, direct Ask completion, question continuation after controller restart, and two downloadable project revisions. The project downloads pass 12 and 18 tests; all 40 independent artifact oracle checks pass. | | Provider-free checks | 116 eval-validator tests, 39 Grok definitions, and 359 enabled/external campaign cells pass. Continuation regressions above 2 MiB and 16 MiB failed before their fixes; 32 focused recovery/ownership/size checks pass. | The 32 unique current-source Product attempts have no failures, retries, or skipped cells, and all cleanup checks pass. Whole-workflow timing, model identity, image and provider-pack provenance, attempts, and accounting coverage are retained in the canonical reports. The report publisher's conservative `complete=false` flag is preserved; independent audits verify the exact selected source catalog and immutable result rows. Pins: Grok Build `1.0.13 (5e9a58528b76)`, ACPX `0.13.1`, ACP model `grok-4.7`. Linux binary SHA-256: `edf79521581bb5e6b95abef848491a6a742e860da3e237ebe86a280d30dce4c1`. Launcher SHA-256: `f0b698395a3704ed2ffaf84ea19bdb20c36c8a0a70b7c629c7b6ffe144e59e55`. Image: `ghcr.io/paperclipai/paperclip-daytona-runner@sha256:76b24edfd850219e949418b19e4ceba690e84d51d199ade426e484953329b5e9`. Image build source is `4196a4cd`, recorded separately from application source `2d939a92`; each campaign verifies the image signature and provider pack. Original failed campaigns remain available: [continuation bound](https://github.com/paperclipai/paperclip/actions/runs/36057718059), [scheduler/event capture](https://github.com/paperclipai/paperclip/actions/runs/36071063537), and [startup cleanup plus EC2 interruption](https://github.com/paperclipai/paperclip/actions/runs/36080870743). They retain their original grades. No Docker or Rust builds ran on the developer laptop for these follow-ups. ## Risks Merge packaging follow-up #14024 with this base before public release. The follow-up replaces the private Grok bridge package with a built-in launcher and makes the native binary an explicit sandbox prerequisite. Three separate, reviewed fixes are part of the tested integrated behavior: #13973 serializes task-run admission; #13977 captures complete event evidence; #13979 durably reconciles failed Daytona creation. Each has green CI and clean 5/5 review. Failed-create recovery has 277 plugin tests, 92 SDK tests, host-runtime recovery tests, and a real Daytona lost-deletion-receipt proof. The live proof uses a private file for journal persistence; database durability is covered by host tests. Worker death before delivery of a failure envelope remains outside that recovery mechanism. Subscription fixtures stage an authorized company login; interactive browser sign-in is not qualified. Local Product profiles ran on EC2 Linux. The temporary subscription credential was removed from the protected GitHub environment after all subscription audits, with absence verified. Runtime homes and refresh copyback remain ownership-fenced. Protocol results remain pinned to their original revisions; they are not relabeled as tests of the latest feature commit. New binary/model versions require qualification. Missing token usage and model cost remain unknown; runtime estimates do not establish a full bill. Automatic paid Grok scheduling remains disabled pending separate reviewed enablement. The 64 MiB bound can increase memory use for verbose sessions, and larger files still fail closed. No automatic legacy-agent migration occurs. ## Model Used OpenAI GPT-6 through Codex, with tool use and code execution. The exact serving model identifier and context-window size are not exposed in this session. ## Checklist - [x] I have included a thinking path that traces from project context to this change - [x] I have specified the model used (with version and capability details) - [x] I have checked ROADMAP.md and confirmed this PR does not duplicate planned core work - [x] I have searched GitHub for duplicate or related PRs and linked them above - [x] I have either (a) linked existing issues with `Fixes: #` / `Closes #` / `Refs #` OR (b) described the issue in-PR following the relevant issue template - [x] I have not referenced internal/instance-local Paperclip issues or links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip` URLs) - [x] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details - [x] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] All Paperclip CI gates are green - [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing>
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Paperclip evaluation guide
Paperclip has two live eval families with different questions, owners, and evidence. Choose the family before selecting a model, profile, or case.
- Runner Evals: real Runner/provider behavior against a seeded mock control
plane. Definitions live in
paperclip-evals/evals/paperclip-runner; see the direct live protocol evals. - Product E2E Evals: real browser, Paperclip server, database, Runner,
provider, and (where selected) Daytona, using an isolated instance and
grading oracle. See
tests/runner-e2eand Everyday Workflows.
Runner Evals answer whether a real runner/provider can perform a bounded protocol operation against the expected control-plane contract. Product E2E Evals answer whether a person can complete a product workflow through the real Paperclip surfaces and whether the resulting artifact and state are usable. The names describe the system under test; “headless” is an execution option, not an eval category.
The explicit Product E2E completion-updates suite compares onboarding and
idle Agent Chat handoffs on native Claude/Codex. It separates mechanical
completion delivery/result access from semantic review of the retained answer;
see the probe contract.
Selecting a family
Use Runner Evals for a runner protocol, adapter, transport, native session,
tool grant, or one-turn provider qualification question. The workflow checks
out an exact paperclip-evals revision, builds the Runner and viewer, runs a
live roster, and renders the canonical Evalbook report. The control plane is a
seeded test authority, so a passing result does not prove browser UX, production
server behavior, database persistence, Daytona behavior, or a real third-party
mutation.
Use Product E2E Evals for browser interaction, issue/task lifecycle, approval and clarification UI, project/repository selection, persistence over a controller restart, artifact delivery, billing/evidence behavior, or runner continuity in local or Daytona environments. The harness creates a fresh Paperclip instance per cell and uses public APIs and the production browser surface. The suite's Everyday Workflows are Product E2E even when their results are imported into Evalbook.
Do not combine a partial Runner campaign and a partial Product E2E campaign into one score. A campaign is comparable when its definition/grader, model/profile, environment, and contract match. The evaluated Paperclip revision may intentionally differ for a before/after fix comparison; record it as a comparison axis.
Ownership and codepaths
Runner Evals are owned by the Runner/evals maintainers. Definitions, rosters,
case prompts, and the report program live in the sibling private repository
paperclipai/paperclip-evals; Runner integration, viewer, aggregation, and
publication code live under packages/paperclip-runner and the
runner-protocol-live-evals.yml workflow. The public-facing report uses the
same Evalbook renderer and Runner Lab viewer as the trusted report after
sanitization.
Product E2E Evals are owned by the runner E2E maintainers. The catalog and
harness are under tests/runner-e2e; the package scripts are test:e2e:runner,
test:e2e:runner:unit, test:e2e:runner:typecheck, and
test:e2e:runner:report. README.md, FIXTURES.md, SECURITY.md, and
EVERYDAY-WORKFLOWS.md are the detailed sources of truth. The harness starts
the server and embedded database, creates the company/agent/task through the
real APIs, drives Chromium, and invokes the selected local or Daytona runner.
The explicit-only agent-chat-hardening Product E2E suite covers native chat
recovery, hiring, status evidence, and review handoff on local and selected warm
Daytona paths. Its fixture contract distinguishes
startup cancellation from active response cancellation and HTTP send replay
from ambiguous provider action recovery. Select it explicitly; --all excludes it.
The explicit-only agent-chat-stories suite covers the experimental settings
lifecycle for a configured native agent and follow-ups during active work. Its
fixture-driven file wait and persisted-plan oracle are documented in the
Product E2E guide. It does not qualify the native
onboarding wizard or change the native API-tool rollout defaults.
The explicit-only grok-qualification and grok-subscription-qualification
Product suites exercise Grok Build with API and company subscription
authentication respectively. Keep their results separate; the subscription
fixture seeds an explicitly supplied login and does not qualify interactive
login. See the Grok fixture contract.
Validation ladder
Start with credential-free checks and a catalog listing. For Product E2E:
pnpm test:e2e:runner:typecheck
pnpm test:e2e:runner:unit
pnpm test:e2e:runner -- --list
For one explicitly selected local cell, configure only the credentials named
by that cell in .env.runner-e2e.local, then run a narrow ID:
pnpm test:e2e:runner -- --id core-compatibility.runner-codex.local.message-marker
Use the selectors documented in the runner E2E README
for a suite, profile, case, group, or environment. Daytona needs the immutable
image digest and DAYTONA_API_KEY; follow the README and fixture security guide.
--all excludes manual suites such as everyday-workflows. Select that suite
explicitly; use a narrow selector while developing a fixture.
For Runner Evals, the narrowest useful local validation is the report program's
help/validation path and the deterministic Runner checks documented in
runner-workflow-evals.md.
Hosted direct live runs must use the default-branch workflow, an exact 40
character evals_sha, an explicitly selected roster (or the maintained
enabled all campaign), and the protected paid environment. The complete
hosted command is intentionally kept in the workflow and
direct live protocol guide.
Live provider runs can spend money; use the existing workflow authorization and
the user's stated scope when selecting them.
Failure taxonomy
Record the primary failure class and preserve the evidence that supports it.
- Product failure: evidence shows Paperclip or Runner behavior violates the authored case or a hard invariant, such as wrong task state, missing approval gate, lost persistence, bad artifact, or incorrect protocol operation.
- Model/provider behavior failure: the provider turn completed with usable evidence but the model gave the wrong answer, ignored an interaction, failed to complete the authored operation, or violated a semantic assertion. It is scored as behavior, not silently retried as infrastructure.
- Grading/evidence failure: the case or matcher cannot establish its claim, a required recording/screenshot/result is malformed, or the report contract is invalid. Fix the harness or grader before interpreting the score.
- Infrastructure failure: the evidence points to provider/profile unavailability, transport admission failure, service startup failure, a missing credential/image, or inability to produce usable evidence. Startup, transport, and timeout symptoms can instead be product defects when evidence implicates Paperclip or Runner; classify from the observed failure and supported cause, rather than the symptom name alone. Preserve the artifact.
Missing usage or price data means unknown, not free. Keep provider-reported costs separate from estimates, and include retry costs when available. Latency, cleanup, billing coverage, and unpriced usage are dimensions of the result and should remain visible alongside the primary class. A timeout after successful product state reads can be a product behavior failure; a failed server-health read may be infrastructure, but inspect its cause. Use the family-specific classifier and read the attempt evidence before changing an analytical label.
Evidence, provenance, and history
Retained result snapshots and dated measurement reports belong in
paperclip-evals; application tests, Product E2E fixtures/graders, and executable
scenario inventories remain in this repository. Keep a compact results index
with immutable archive links and public report links, as in the
lifecycle baseline.
The private archive is not a dependency of app test execution. Keep large logs,
traces, and videos in the existing campaign artifact storage.
An Evalbook report is a presentation of immutable attempt records, not the
source of truth. Keep the campaign ID, Paperclip commit, paperclip-evals
commit, catalog/roster or definition fingerprint, model/profile, environment,
grader version, selected cells, retries, and provider/runtime usage with the
report. Public projections follow each family's reviewed allowlist and may
include sanitized fixture conversation, named tool outcomes, screenshots, and
structured evidence intended for public history. Credentials, secrets, private
data, raw unredacted records, and hidden reasoning stay out of public
projections.
Distinguish a complete campaign from a partial campaign. A narrow selector, manual diagnostic, missing cell, or infrastructure retry can be useful evidence without being a qualification run. History should retain both, with explicit coverage and completeness, while trend and latest-green views compare only compatible complete campaigns. Refreshing an existing report from retained evidence has zero provider calls and is a new presentation of the old measurement, not a new model run.
Existing public histories are available at Runner protocol history and Runner Product E2E history. The consolidated eval hub is at pages.paperclip.ing/evals.
For a repeatable workflow, use the matching skill: paperclip-evals, add-runner-eval, or add-product-e2e-eval.
Install the authoring skills
The reviewable sources live in this repository's .agents/skills. For a
multi-repository workspace, install the three skills at
~/paperclipai/.agents/skills (not ~/paperclipai/skills). From the Paperclip
checkout, run:
for skill in paperclip-evals add-runner-eval add-product-e2e-eval; do
install -d "$HOME/paperclipai/.agents/skills/$skill"
install -m 644 ".agents/skills/$skill/SKILL.md" \
"$HOME/paperclipai/.agents/skills/$skill/SKILL.md"
done
This replaces only the three named skill entrypoints. Run it again after updating their tracked sources. Each skill locates the repository independently of its installation directory.
Maintain the public hub
The hub is a static directory with two links to the existing history systems. It displays a dated snapshot, not a live scoreboard. It does not run models, create another result archive, or change the existing campaign URLs.
Build from the public history feeds and check its summary logic:
python3 -m unittest discover -s scripts/evals-hub -p 'test_*.py'
python3 scripts/evals-hub/build.py --output .paperclip/evals-hub
The hub checks need Python 3 and do not call model providers.
For offline checks, pass --history-dir <directory> containing
runner-protocol-evals-history.json and runner-e2e-history.json.
For a pre-merge preview, pass --docs-ref <branch-or-sha> to link the guide
at that revision. The default guide link uses master.
Publish with the Paperclip page helper
and the configured page-uploader credentials. Use Bash 4 or newer; macOS's
system Bash 3 cannot run this helper. On macOS with Homebrew Bash installed,
put $(brew --prefix bash)/bin first in PATH before these commands:
export PAPERCLIP_PAGE_BUCKET=pages.paperclip.ing
export PAPERCLIP_PAGE_BASE_URL=https://pages.paperclip.ing
export AWS_REGION=us-east-1
bash .agents/skills/paperclip-page/scripts/publish.sh .paperclip/evals-hub --slug evals --dry-run
bash .agents/skills/paperclip-page/scripts/publish.sh .paperclip/evals-hub --slug evals
For later refreshes, rebuild in the same output directory and publish with
--update. Keep its ignored .paperclip-page/state.json ownership record;
without that record, the helper will refuse to overwrite an existing prefix.
Verify the public page and its links after publication. This manual refresh
does not add a scheduled workflow. Preserve the measurement date when choosing
a newer rendering of the same campaign.
Remaining native chat boundaries are in the explicit-only
agent-chat-qualification suite: active task reassignment, user Retry after
verified worker process loss, and multi-turn answers grounded in actual task
records. See the workflow and qualification limits.
The 26 native first-task cells exercise onboarding before native selection
becomes the UI default. Live results and semantic answer reviews must accompany
any qualification claim; catalog presence alone is not a pass.
Lifecycle behavior baseline
The credential-free lifecycle baseline
joins unit, scripted-runner, and database integration assertions to a scenario
inventory before changing narrative-based lifecycle policy. Run
pnpm test:lifecycle-baseline to retain current passes and failures. Its Product
E2E matcher calibration is separate from live execution; unrun live coverage
remains explicitly unmeasured.
The separate live lifecycle baseline
defines 46 real-provider Product E2E cells, including paired narrative probes and
named existing controls on legacy and native Codex. Discover it with
pnpm test:e2e:runner -- --list --suite lifecycle-baseline. Historical execution
results and follow-up coverage are recorded in that suite's guide.
Continuation accounting has an explicit-only eight-cell Product E2E baseline suite, complementing the deterministic lifecycle inventory.
The explicit-only Product E2E api-response-reading suite verifies retrieval of
large saved API responses on local and Daytona native Codex runs. See the
Runner E2E guide.