mirror of
https://github.com/paperclipai/paperclip.git
synced 2026-10-12 08:19:54 +02:00
codex/plugin-task-execution
5
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 DottaandPaperclip
|
106d89314f |
fix(evals): keep raw diagnostics out of public history (#13850)
## Thinking Path > - Paperclip manages AI agents and their work. > - Product E2E campaigns retain evidence from live provider runs. > - The public publisher copied per-attempt files based on their extension. > - Credential redaction does not remove hidden reasoning or provider session IDs. > - This pull request keeps those raw diagnostics out of public evidence bundles. > - Public reports retain normalized grades and declared fixture screenshots. ## Linked Issues or Issue Description **What happened?** The Product history publisher accepted all JSON, log, Markdown, and text files under an attempt directory. API snapshots and process logs can contain provider reasoning even after credential redaction. **Expected behavior** Keep raw attempt diagnostics in retained Actions artifacts. Publish normalized results and declared fixture screenshots. Preserve the original grades and attempt evidence. **Steps to reproduce** Place a credential-redacted API snapshot with a reasoning event under an attempt's snapshots directory. The previous public path check admitted it because it ended in .json. ## What Changed - Remove extension-based admission for per-attempt text files in both S3 and Pages staging. - Require PNG paths to appear in the existing screenshot declaration allowlist. - Preserve root normalized results, grading, billing, provenance, and reviewed screenshot behavior. - Add seven denial cases for raw diagnostics, renamed files, malformed JSON, and false screenshot declarations. - Update report copy and the publication security contract. ## Verification - Focused history and report tests: 47 passed. - Replayed the filter against a copy of retained Grok evidence: six diagnostic files removed, one declared screenshot retained, zero provider calls. Original artifacts remain unchanged. - git diff --check passed. - Product typecheck in the reused local dependency tree reports an unrelated plugin type mismatch for organizationSwitcher in server/src/services/plugin-capability-validator.ts. CI will verify a fresh install. - No local browser or Docker execution. ## Risks Public reports no longer link raw per-attempt logs or API snapshots. Those files remain in the original Actions artifact. This change affects future publication only; it does not withdraw or rewrite existing immutable public campaigns. Normalized result content and marked screenshot review retain their existing boundaries. No workflow authorization, provider credentials, application behavior, or database changes. ## Model Used OpenAI Codex, GPT-6 family, with reasoning, code editing, and tool execution. The exact deployment model ID 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 - [ ] All Paperclip CI gates are green - [ ] 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> |
||
|
DottaandPaperclip
|
11921075a4 |
Add first-task onboarding skill and Runner E2E coverage (#13517)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The first task helps a new user define and approve useful work. > - That workflow needs reusable instructions and tests against the production experience. > - Native Codex and Claude must load the assigned skill, including after resume. > - Maintainers need recorded conversations and precise failed checks to judge regressions. > - This pull request adds the first-task skill and a suite in the shared Runner E2E harness. > - It keeps behavior results separate from informational quality scores and incomplete recordings. ## Linked Issues or Issue Description **What existing behavior does this improve?** The first onboarding task and the Runner E2E report used to review it. **Current behavior** Onboarding embeds its policy in a hidden brief. Native Codex drops the skill-instructions setting at the Rust boundary. The shared E2E harness has no onboarding suite or full conversation view. **Proposed behavior** Assign and invoke `/first-task` for the onboarding task. Send selected Codex skills as structured protocol inputs. Run twelve scenarios across legacy Codex, legacy Claude, native Codex, and native ACPX Claude. Include all 48 cells in full campaigns. Show recorded chat, question and approval cards, exact checks, instructions, and billing in the shared dashboard. **Reason and benefit** Measure the real onboarding experience before changing prompts. Distinguish infrastructure failures, behavior failures, and unexercised journey steps. **Breaking changes** No database migration or production API change. First-task instructions now live in an assigned skill. The user-edited persona is preserved; the skill includes the maintainer-approved proposal-mode mapping and saved-plan requirement. Related: #11043 is earlier onboarding work. #13422 already fixes native Claude model pinning, context delivery, and read permissions on master; this branch includes those fixes through its base. The new Claude recovery test supplements them. ## What Changed - Extract and assign the first-task skill while retaining the production greeting and opening question. - Carry the Codex skill-instructions flag through thread start and resume. Resolve explicit task skill references only against assigned skills and send native skill inputs. - Invoke an unambiguously selected assigned skill through Claude ACPX’s native slash-command parser on initial and resumed turns, retaining the entire task/wake envelope as its argument. Do not carry that invocation into ordinary tasks. - Restore the saved single-task proposal modes: confirmation card, or saved plan with revision-targeted checkbox approval. Explicit plan requests also require a saved plan. - Add first-response and complete-journey cases with fixed user facts, acceptance checkpoints, durable outcome checks, and accounting for child runs. - Fail the eval when choice questions have fewer than two real options. Recognize planning documents without treating them as completed work. - Add optional, bounded quality judging as explicit post-processing. - Render full conversations and static interaction cards in the shared report. Conversations start folded. Show original and regraded results and incomplete journeys distinctly. - Keep credential-persistence scanning outside the first-task behavioral suite; retain public evidence redaction. - Refresh generated capability references after the API-reference edits. - Correct shared native question guidance and tool schemas: choices need at least two meaningful options; open-ended questions use canonical text fields with the required compatibility payload. Verify both formats through real tool-authority persistence. - Disable announcements automatically for every isolated Runner E2E process and label the gallery environment/provider/target explicitly. - Remove CI races in the GitHub connection browser test and native session recovery test by waiting for the actual async work before asserting its results. ## Verification - `pnpm exec vitest run server/src/services/onboarding-first-task-assets.test.ts server/src/__tests__/issue-onboarding-first-task-routes.test.ts`: 19 passed. - `pnpm --dir packages/paperclip-runner exec vitest run src/drivers/acpx/runtime-host.test.ts src/drivers/acpx/native-skill-prompt.test.ts src/cli/acpx-runtime-sidecar.test.ts`: 70 passed. Native command forwarding and the 1 MiB input boundary both failed before their fixes and passed afterward. Coverage includes changed skills on reopen, approval context, and an ordinary subsequent task. - Runner E2E unit suite: 306 passed. Harness typecheck passed. The 64 first-task fixture and grader tests also pass. - Full repository typecheck and build passed locally. Server typecheck and Runner build passed again after the native-command change. - Full GitHub Actions CI passed on `23e56447b`: all server/workspace/browser shards, Runner verification, typecheck/release registry, build, canary, policy, and Docker checks. Greptile reviewed this exact head at 5/5 with no unresolved threads. The earlier broad local run had database startup/timing failures that passed isolated retries; the complete remote suite is green. - Merge verification against current master: 312 harness tests and 13 native recovery tests passed. Regenerated semantic contracts and fixture hashes pass their consistency check. Full local typecheck and build also passed on the stacked queue branch. After merging the latest master and preserving the GitHub setup timing regression in the split browser suite, both focused GitHub browser tests passed. Three CI timing/startup flakes passed local verification and one remote retry; all latest-head checks are green. - Real pinned Claude SDK and Claude ACP JSON-RPC probes against a local mock API confirmed that `/skill-name` expands the assigned skill body before the model request and retains the task arguments. A prose mention does not. The probes made no paid model calls. The ACP probe used the current first-task skill body and retained the wake arguments. - [Full 48-case campaign and report](https://pages.paperclip.ing/runner-e2e-first-task-35053063880/): 44 passed after three interrupted Codex cases completed in targeted reruns. Original results, regrades, and all 51 executions remain in the report provenance. - [Claude campaign after the shared-question fix](https://pages.paperclip.ing/runner-e2e-first-task-claude-35099525201/): 10/12 passed with zero single-option failures. All 12 recorded the current assigned skill and corrected guidance. The failures exposed skipped skill invocation and a missing saved plan. This PR adds native command invocation and explicit saved-plan instructions; the subsequent report below still shows behavior failures. - [Fresh 12-case Claude report](https://pages.paperclip.ing/runner-e2e-first-task-claude-35102737804/) at `78452129e`: 10/12 pass after correcting two false proposal-matcher failures. The recordings said “Here is the task I will create and run/complete” in approval cards; the old matcher missed that word order. Regression tests failed before the fix and pass after it. Original results and offline regrade provenance remain linked. No agent rerun was needed. Zero single-option-question failures; two behavior failures remain: direct work before acceptance on a plain first message, and an explicit plan request without a saved plan. Neither check was relaxed. The follow-up `82087ac7e` fixes command-prefix size accounting; `94aefb1f3` fixes only that proposal matcher. - Report browser checks confirm folded conversations, rendered cards, explicit Local/Daytona labels, and no page errors. The published-object audit scanned 1,306 text files across 2,154 objects with no credential-format findings or prohibited files. Image pixels and unknown token formats are outside that scan. ## Risks - Model behavior is nondeterministic. One campaign is evidence, not a guarantee. The two remaining Claude behavior failures are visible in the report and require further product work; this PR does not claim all onboarding scenarios pass. - The suite checks persisted Paperclip effects. It cannot prove the absence of arbitrary external effects. - Historical recordings can miss later journey steps. These remain incomplete, never passes. - Native profiles switch runtime after the production onboarding wizard because it does not yet expose a native option. - Quality scores are informational and cannot override behavioral failures. ## Model Used OpenAI Codex, GPT-6, with reasoning, repository tools, and code execution. The exact deployed 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> |
||
|
DottaandPaperclip
|
87832c48fd |
feat(runner-e2e): publish declared screenshots (#12895)
## Thinking Path > - Paperclip uses runner end-to-end reports to compare agent profiles and execution environments > - The report dashboard shows each reviewed final-state screenshot as a thumbnail and gallery item > - The public history publisher removed all per-attempt images before it regenerated the dashboard > - Therefore the public dashboard had the new layout but could not show the screenshots from the run > - The publisher needs a narrow rule that keeps only screenshots from the exact live fixture issue route > - This pull request keeps those trusted PNG files in every future public S3 and GitHub Pages report > - The benefit is that each future report can show its screenshot gallery without exposing logs, traces, videos, archives, arbitrary images, or generated report trees ## Linked Issues or Issue Description **What happened?** The runner E2E job captured final-state screenshots in its private artifact. The public S3 and GitHub Pages publication step removed those screenshots before it regenerated the dashboard. As a result, the public report showed the new dashboard controls but no screenshot thumbnails or gallery items. **Expected behavior** Each future public runner E2E report must include reviewed PNG screenshots from the live fixture issue. Other captures and active or unsafe evidence must stay private. **Steps to reproduce** 1. Run the runner full-stack E2E workflow on `master` before this change. 2. Open the private `runner-e2e-report-*` artifact and confirm that it contains per-attempt PNG screenshots. 3. Open the public campaign URL and confirm that the dashboard has no screenshot gallery items. **Paperclip version or commit** The issue was reproduced on commit `64d8929`, after the report design change in PR #12889. **Deployment mode** GitHub Actions with the public S3 and GitHub Pages report publishers. Related design work: Refs #12889. ## What Changed - Mark screenshots from the exact server-created live fixture issue route with `public-runner-fixture`. - Keep marked PNG files in both the S3 history bundle and the GitHub Pages bundle. - Keep captures from other issue routes, sensitive routes, and external origins private. - Bind public files to the normalized execution ID, attempt, and safe PNG base name. - Validate every retained image with the existing PNG signature and 12 MiB size checks. - Skip missing-artifact sentinel results with attempt `0` when they have no public screenshots. - Continue to remove unmarked images, videos, traces, archives, generated HTML reports, and other private evidence. - Update publisher tests, workflow checks, report copy, and the public-evidence security documentation. ## Verification - `pnpm exec vitest run --config tests/runner-e2e/vitest.config.ts tests/runner-e2e/history.test.ts tests/runner-e2e/report.test.ts` - `pnpm exec vitest run --config tests/runner-e2e/vitest.config.ts tests/runner-e2e/workflow-security.test.ts -t "uses environment-scoped OIDC"` - `pnpm test:e2e:runner:typecheck` - `PAPERCLIP_PLAYWRIGHT_CHANNEL=chrome pnpm exec playwright test --config tests/e2e/playwright.config.ts tests/e2e/runner-e2e-dashboard.spec.ts` - `pnpm -r typecheck` - `pnpm build` - Regenerated the dashboard from retained evidence for Actions run `33968240659` without a paid matrix rerun. The public-stage proof contained 121 screenshot gallery items and thumbnail frames, with zero generated HTML report files. The trusted-fixture marker and route gate have separate focused tests. - All pull request CI checks pass on commit `ccd2b49e1`. ## Risks - This change intentionally makes marked fixture screenshots public at the campaign URL. A screenshot can show data that a raw-byte secret scan cannot detect. - The capture helper marks a screenshot only on the exact loopback issue route for the fixture that the harness created. A different issue, sensitive page, or external origin stays private. - The publisher also requires the marker, a safe normalized path, a valid PNG signature, and the size limit. - The change does not publish videos, logs, traces, archives, arbitrary images, or generated browser report trees. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - OpenAI Codex, model `gpt-5.6-sol`, with high reasoning, repository tool use, shell execution, browser inspection, and GitHub CLI access. The working context was the Codex desktop task context. ## 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> |
||
|
Dotta
|
bcc6fe7a44 |
fix(runner): restore multi-turn remote sessions (#12840)
## Thinking Path > - Paperclip manages AI agents and their work. > - The runner executes agent turns on local and remote providers. > - A remote per-turn session must save its state before Paperclip releases its sandbox. > - The session runtime returned after 100 milliseconds while the remote checkpoint still ran. > - The next turn also checked the local state path instead of the verified remote backup. > - This pull request waits for the bounded remote close and accepts only a verified suspended backup. > - The benefit is reliable multi-turn execution without weaker identity checks. ## Linked Issues or Issue Description **What happened?** A successful remote agent turn released its sandbox before the runner saved the verified continuation backup. The next turn failed with `runner_state_identity_mismatch`. **Expected behavior** Paperclip must finish the bounded remote checkpoint before it releases the sandbox. A later turn must validate and restore the digest-matched suspended backup. **Steps to reproduce** 1. Run a native ACPX Claude Plan test in a non-reusable Daytona sandbox. 2. Reject the first plan to start a second turn. 3. Observe that the second turn fails before provider execution. **Paperclip version or commit** The failure reproduced at `13775a90b078ff64872f50961ea1b83d575e7bc6`. **Deployment mode** GitHub Actions with a Daytona sandbox. ## What Changed - Wait for the internally bounded remote runner close and checkpoint before the host returns. - Preserve the existing short cleanup bound for other providers. - Validate remote continuation lifecycle from a complete digest-verified backup when local runner state is absent. - Keep corrupt, non-suspended, mismatched, and unverified state fail-closed. - Make native Plan completion and accepted-Plan wake prompts deterministic. ## Verification - A prior 45-cell local campaign passed 44 cells. The only failure was the OpenCode Plan prompt variance fixed here. - A focused OpenCode local Plan rerun passed. - ACPX Claude Daytona message and question cells passed. - Focused regressions cover delayed checkpoint close and verified remote backup lifecycle. - GitHub Build and the focused ACPX Claude Daytona Plan cell will validate this exact head. ## Risks Remote runnerd sessions now wait for their internally bounded close/checkpoint path before returning; generic provider cleanup retains the existing 100 millisecond bound. Durable run success still cannot be reversed. The environment release guard still blocks sandbox destruction when no verified backup stamp exists. ## Model Used OpenAI Codex, GPT-5.6, extended reasoning, with code execution and GitHub Actions inspection. ## 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 and contains no internal task id - [ ] I have run tests locally and they pass - [x] I have added or updated tests where applicable - [ ] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [ ] All Paperclip CI gates are green - [ ] Greptile is 5/5 with no open findings - [ ] I will address all Greptile and reviewer comments before requesting merge |
||
|
Dotta
|
5716fe907e |
test(runner): add full-stack acceptance and eval gates (#12700)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The runner subsystem executes agent work across local and managed provider backends. > - The lower pull requests restore the task runtime, provider backends, and managed-provider control plane. > - The restored system needs repeatable full-stack checks before it can ship safely. > - Paid live checks also need clear access, cost, and secret controls. > - This pull request adds acceptance, live evaluation, chaos, and release gates for the restored runner stack. > - The benefit is measurable runner parity with safer release decisions. ## Linked Issues or Issue Description **Subsystem affected** Cross-cutting. This change covers runner tests, release workflows, server contracts, and evaluation tools. **Problem or motivation** The runner stack did not have one complete acceptance surface for native Codex, ACPX, Claude Managed, and AWS AgentCore. Release checks could miss provider drift, task-view regressions, cost-policy errors, and destructive cleanup errors. **Proposed solution** Add a 57-cell full-stack catalog, a Daytona image, and opt-in paid workflows. Add live evaluation, chaos, cost-limit, redaction, and release contract checks. Add AWS AgentCore infrastructure and guarded provisioning tools. Keep the native runner experimental flag off by default. **Alternatives considered** We considered manual smoke tests only. They do not give repeatable evidence and they do not protect release branches. We also considered one large pull request. The stacked pull requests keep each review below the Greptile file limit. **Roadmap alignment** This work supports the shipped Cloud / Sandbox agents milestone and the shipped Agent evals & feedback milestone in `ROADMAP.md`. Related stack: - #12699 adds managed provider backends and lifecycle support. - #12691 adds qualified OpenCode and ACPX provider backends. - #12685 restores task runtime rendering and steering. ## What Changed - Add the runner full-stack harness with 57 catalog cells and 60 unit tests. - Add a Daytona runner image with digest-pinned base images and base-aware image-content checks. - Add guarded live evaluation and chaos workflows with a fixed 40-execution matrix; live and full-stack paid schedules now run only on Sundays or by manual dispatch. - Add in-flight reported-usage cost stops, post-turn cost caps, exact-threshold failure classification, secret redaction, retry classification, and actor authorization. - Reattach stream and hard-budget listeners before restart-recovery continuations so restored paid sessions cannot bypass in-flight interruption. - Preserve OpenCode usage and cost across tool-loop messages and turns while exposing an explicit current-run delta to durable accounting. - Keep PNG/WebM evidence in access-controlled artifacts only, reject SVG, and publish only pruned inert structured per-attempt evidence. - Add AWS AgentCore infrastructure, provisioning checks, and smoke tools; reject unsafe model identifiers, require exact stack ownership markers, and make failed-stack replacement explicit. - Add evaluation-session contracts and capability reports. - Add release workflow checks for immutable action pins, frozen dependency installs, exact weekly cron shape, paid-run guards, provider-secret isolation, and chaos test paths. - Reauthorize the original and triggering numeric actor IDs as the first step of every provider-secret job, including partial reruns, before checkout or provider access. - Give each full-stack matrix cell only its matching provider credential, expose Daytona only to Daytona cells, and disable shared dependency caches anywhere paid credentials or OIDC write access are present. - Protect the legacy manual E2E workflow with the same default-branch, allowlist, environment, and per-job authorization boundary. - Rotate live-eval candidates by week and retain 120 days of compatible history so the seven-week trend window remains viable. - Restore the root runner-acceptance commands and reconcile reported snapshots, raw receipts, and terminal usage without double counting or losing late usage. - Mark ACPX token deltas exact only when every budget field is present, keep cumulative cost/request authority separate, reject non-USD cost labeling, and include thought tokens in output-token budgets. - Keep `enableNativeRunner` off by default. The acceptance harness enables it only in its isolated test instance. ## Verification Passed locally: - `pnpm --filter @paperclipai/paperclip-runner typecheck` - `pnpm test:runner-acceptance:typecheck` - `pnpm test:runner-acceptance` (19 tests) - focused OpenCode proxy, driver, runnerd transport, live-session, and turn-stream tests (106 tests) - `pnpm --filter @paperclipai/paperclip-runner exec vitest run src/live/clean-room-server.test.ts` (22 tests) - `pnpm test:e2e:runner:typecheck` - `pnpm test:e2e:runner:unit` (62 tests) - `node --test scripts/__tests__/release-verify-workflow.test.mjs` - `pnpm --filter @paperclipai/paperclip-runner test:runner-workflow-evals` (22 tests) - `pnpm -r typecheck` - `pnpm build` - `node --test packages/paperclip-runner/scripts/aws-agentcore-provisioning.test.mjs` (6 tests) - `git diff --check` - `cargo test --manifest-path packages/paperclip-runner/runner/Cargo.toml -p paperclip-runner-core --lib --locked` (161 tests) - focused ACPX provider-event tests (10 tests) - The rebased PR changes 92 files. `pnpm-lock.yaml` is unchanged. I did not run paid live provider jobs or provision AWS resources. Those checks need credentials and can create cost. ## Risks The paid workflows can create provider cost. They require an allowlisted original and triggering actor, the protected `runner-e2e-paid` environment, explicit opt-in variables, and cost limits. The four provider credentials exist only in that master-only environment, which requires allowlisted reviewer approval and disables administrator bypass; repository and organization Actions scopes contain no copies. Provider usage arrives after a billable request, so the live guard cannot prevent one request from crossing a threshold. It interrupts immediately on the first reported threshold hit and permits no continuation. Visual evidence can contain secrets rendered as pixels. PNG/WebM remain only in access-controlled workflow artifacts; SVG and per-attempt XML are excluded, and S3/Pages receive a pruned structured dashboard. The AWS scripts can create cloud resources. They use explicit commands, least-privilege roles, KMS encryption, saved nonsecret metadata, and explicit teardown. This pull request does not enable the experimental native runner for existing instances. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used OpenAI Codex with GPT-5. The model used extended reasoning, tool use, code execution, and parallel subagents. ## 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 |