mirror of
https://github.com/paperclipai/paperclip.git
synced 2026-10-27 11:20:42 +01:00
a3675ddcdff1a6ff66dcb28fa7b295d0a491eed8
2
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
|
|
5ef385f7e6 |
Run reusable Product E2E journeys across deployment targets (#17262)
## Thinking Path > - Paperclip manages agents and their work. > - Product E2E tests check complete user journeys. > - The current harness prepares self-hosted instances. > - Hosted workspaces need separate authentication, setup, and cleanup. > - The same in-app story should run on either deployment. > - This pull request adds deployment targets and explicit prerequisites. > - The private Cloud adapter owns fleet access and lifecycle operations. ## Linked Issues or Issue Description **Subsystem affected** Product E2E harness, fixture registry, and reports. **Problem or motivation** Self-hosted test setup cannot qualify a deployed Cloud workspace. Copying each story into a second harness would make its assertions diverge. **Proposed solution** Add explicit deployment targets, setup recipes, and ordered campaigns. Reuse a no-model task-properties story on both deployments. Let fresh Cloud onboarding provide verified context for that same story. Keep Cloud lifecycle and credentials behind a private target provider. **Roadmap alignment** This supports Cloud deployment qualification and the existing agent eval system. It adds no application endpoint or scheduler. Related work: #17112. The separate onboarding gateway UI prerequisite is #17253. ## What Changed - Add explicit target configuration and a credential-free preparation preview. Keep historical selectors and the current `--all` matrix unchanged. - Resolve requested fixture prerequisites, including a run-owned backlog task prepared before measurement. Reuse verified onboarding context without counting recipe setup as onboarding coverage. - Add task assignment persistence and the actual onboarding parent/child first-task journey, with an independent artifact oracle and native trace requirement. - Preserve failed boundaries and blocked dependents, deployment identity, costs, phase outcomes, and private evidence in the existing dashboard. - Validate success assertions and accounting before successful cleanup. Bound collection by the campaign deadline and cleanup/evidence hooks by a separate ten-minute grace, with cancellation and stop-only fallback. - Stage dashboard rendering separately so a timed-out renderer cannot overwrite retained failure results. Add evidence finalization hooks so the private provider can save evidence before target deletion and lease release. - Reject private journey bundles in the public history publisher. Browser-only results have no model or provider. ## Verification - The unchanged task-properties story passed on managed self-hosted and a registered testing Cloud workspace. Authentication, setup, journey, collection, and cleanup passed. Model calls: zero. Earlier attempts remain private and retained. - Final journey and report tests: 96 passed in eight files. Catalog compatibility: 39 passed. The wider focused run exposed three stale master catalog expectations; these now match the already shipped case-handoff v4 metadata and four-cell matrix. The default 385-cell selection is unchanged. - Review regressions reproduced premature success for a zero-request receipt and a missing required assertion. Both now fail before success cleanup while retaining cost receipts. The initial lifecycle fixes passed 33 checks. A subsequent review exposed a late renderer write that could erase saved failures; rendering now writes into isolated staging and publishes HTML only after it settles. Combined campaign, fixture-contract, and retained-report checks: 67 passed, including late writes, delayed timer callbacks, stalled collection, release, stop, evidence hooks, and browser close. Harness typecheck passed after the fixes. - A broader harness unit attempt completed 3,601 passing cases, two failures, and two skips. The failures exposed a stale Pi count and an omitted active Copilot fixture in the Daytona image input closure. The focused compatibility fixes passed 83 tests. After all source fixes, the full harness support suite passed: 160 files, 3,621 tests, two skips, plus 128 native-source checks. The earlier failures remain recorded. - Harness typecheck, repository typecheck, repository build, map checks, and Storybook catalog checks passed on the rebased branch. - The required full `pnpm test:run` attempt timed out after 35 minutes. It had 1,195 completed passing cases and one chat integration failure before its first suite completed. That case and nine adjacent cases pass in isolation. The original failure remains unresolved and retained; this is not a full-suite pass. - Current-head remote checks (`39b2a1ed8c49222fabd1ba8e225cac81bff5c6f7`): 53 passed, two skipped, none pending or failing. Greptile completed successfully at 5/5 with no unresolved review threads. - Fresh paid Cloud onboarding, dependent reuse, and disposable cleanup have not been qualified live. They require deployment of the separate UI prerequisite and actual Cloud gateway budget admission. The trusted Cloud workflow remains disabled. - Final live verification at `39b2a1ed8c`: the unchanged shared story passed on managed self-hosted and the registered testing Cloud stack using the prepared backlog-task recipe. Both cleaned up successfully with zero model calls. Independent private S3 checks confirmed final evidence and released QA identity/stack leases. Cloud evidence remains private. ## Risks - A deployed UI or Cloud control-plane change can invalidate selectors or provider contracts. Version drift fails the attempt. - Cloud evidence and lifecycle recovery are private-provider responsibilities. A pending cleanup or evidence upload must keep the target unavailable for reuse. - No release is deployed or pinned by this change. No automatic story retry is added. The initial pilot retains its explicit $10, one disposable workspace, and 30-minute bounds. ## Model Used OpenAI GPT-6 through Codex, with reasoning, repository tools, code execution, and delegated agents. The runtime does not expose a more specific deployment model identifier or context-window size. ## 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 - [ ] 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> |
||
|
|
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 |