mirror of
https://github.com/paperclipai/paperclip.git
synced 2026-11-13 15:55:46 +01:00
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - The restart chaos harness (`tests/restart-chaos/`) runs real agent tasks and breaks the control plane on purpose, so failures show up before staging users see them > - A census of 48 hours of staging failures found runs whose result save-back failed because the sandbox disk was full (class F). The harness never filled a sandbox disk, so it missed that class > - #20758 made a full-disk save end recovery at once with cause `sandbox_disk_full` and a Retry. Nothing in chaos exercised that path end to end > - A real full disk cannot be made on demand. The owner chose a test-only hook that makes the save report a full disk, not a small disk > - This pull request adds the hook at the save's sandbox boundary and a DF1 fault that arms it, clears it, and grades the result > - The benefit is that every wave can now check the disk-full rest, the Retry offer, and that Retry works after space is freed ## Linked Issues or Issue Description Refs #20758 (product behaviour under test), #20678 (finalization hands a full-disk copy-back to recovery) **What is the problem?** The chaos harness had no fault for a full sandbox disk during result save-back. Staging saw this failure (census class F in `doc/plans/2026-11-11-staging-failures-vs-chaos-coverage.md`), and chaos could not reproduce it. **What is the expected behaviour?** A wave can schedule DF1. While DF1 is armed, the task's final workspace saves fail as a full disk. When DF1 is cleared, saves succeed again. The task must rest with `sandbox_disk_full` and a Retry, and that Retry must finish the task. **Why does it matter?** Without a fault, a regression in the disk-full path (no Retry, a wrong cause, or a Retry that does not work) reaches staging users before chaos sees it. ## What Changed - `server/src/services/sandbox-disk-full-fault.ts` (new, test-only): `sandboxDiskFullFaultTarget` wraps the target of a final save only when the harness armed that save. The capture commands then exit 1 with the exact message the in-sandbox script writes on ENOSPC, and the provider download fails with `No space left on device`. The gate follows `@paperclipai/shared/crash-points`: `PAPERCLIP_DISK_FULL_FAULT_CONTROL` is read once at import and ignored under `NODE_ENV=production`. Disarmed, the hook is one comparison and returns the save's own target. - `server/src/services/remote-workspaces.ts`: the capture call in `saveRemoteWorkspace` passes its target through the hook. No other product change. `workspace-recovery.ts` is not touched. - `tests/restart-chaos/disk-full-faults.ts` (new): the DF1 kind, the control-file seam (atomic writes), the rest evidence (`activeRecoveryAction.evidence.systemRecovery.failure.cause.label`), the `disk_full_fault` T check, and the DF1 R3 rule (one expected Retry that must finish the task). - Harness wiring: `--faults DF1` (refused without `--env daytona`, with a storm, or with PV faults), no scheduled restart, arm at launch, clear at the first rest just before the Retry click, receipts in `<wave>/disk-full-faults.jsonl`, and ledger fields `diskFull: { faultedSaves, restedDiskFull, retryOffered, retryWorked }`. - Docs: a "Sandbox disk full (DF1)" section in `tests/restart-chaos/README.md`, and the census plan marks DF1 as built. ## Verification - `cd server && pnpm exec vitest run src/services/sandbox-disk-full-fault.test.ts`: the gate is off by default and under `NODE_ENV=production`, the save's own target comes back when disarmed, only a listed final save is faulted, the product capture turns it into the named disk-full failure, and clearing the file disarms the next save. - `pnpm exec vitest run --config tests/restart-chaos/vitest.config.ts tests/restart-chaos/disk-full-faults.test.ts tests/restart-chaos/grader.test.ts tests/restart-chaos/scheduler.test.ts tests/restart-chaos/provider-faults.test.ts`: planning, the control file, and grading. - `node scripts/typecheck-test-projects.mjs tests/restart-chaos` and the server `tsc --noEmit`: clean. - Live wave: a Daytona DF1 wave is running. Its result is added here before merge. ## Risks - Low risk for production. The hook reads its variable once at startup and is ignored under `NODE_ENV=production`. Without the variable it does one comparison and returns the same target object. - The hook fails every sandbox command of an armed capture, including the read-only fallback's inventory. A real full disk can let that inventory succeed and fail later at the download. The outcome is the same (`sandbox_disk_full`), but the fallback's inventory step is not exercised under DF1. - DF1 runs only with `--env daytona`. A local run has no sandbox workspace save, so the harness refuses DF1 there. ## Model Used - Claude Opus 5.5 (Anthropic, model ID `claude-opus-5-5`), in Claude Code with tool use (shell, file edits, GitHub CLI). ## 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 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude <noreply@anthropic.com>