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Author	SHA1	Message	Date
3 people	9edde68373	feat(kubernetes): native file-sync lifecycle hooks over pod exec (#10053) ... ## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - AI agents run in sandboxed execution environments (Kubernetes pods, Daytona workspaces, etc.) and need to sync files between the host and those environments — for workspace setup, asset delivery, and output retrieval > - The existing sync path for Kubernetes uses a base64-over-exec chunk loop: each ~4 MB chunk requires its own `execInPod` round-trip, so large syncs balloon into many exec calls with corresponding overhead > - `execInPod` supports piped stdin/stdout, meaning the full transfer can be done as a single exec that streams a raw `tar` archive over the data channel — one round-trip regardless of file size, with nothing base64-encoded and nothing buffered whole in memory on either side > - PR-1 (#10013, merged) added the `onEnvironmentSyncIn`/`onEnvironmentSyncOut` opt-in hook API to the sandbox provider interface and documented the protocol; PR-2 (#10028, merged) implemented these hooks for the Daytona provider > - This pull request implements the same two lifecycle hooks in the Kubernetes sandbox provider, so workspace/asset file sync streams through one `execInPod` per operation instead of the chunk loop > - The benefit is significantly fewer exec round-trips for large syncs and flat memory use on both host and pod, with security properties preserved: atomic replace, secret-mode enforcement, path confinement, TOCTOU-safe snapshot, and member-confinement on host-assembled archives from sandbox-authored tar output ## Linked Issues or Issue Description This is the third and final PR in a sequential series: - Refs #10013 — PR-1: opt-in sync hook API + provider docs (merged) - Refs #10028 — PR-2: native file-sync lifecycle hooks for Daytona provider (merged) **Feature:** Native single-exec file-sync lifecycle hooks for the Kubernetes sandbox provider. *Motivation:* The existing Kubernetes sync path encodes files as base64 and loops over `execInPod` one chunk at a time (~4 MB per exec). For large workspaces or asset sets this is slow and resource-intensive. The Kubernetes `execInPod` API supports piped stdin/stdout, enabling a raw-`tar` streaming transfer that needs only one exec regardless of file count or size and never buffers the whole payload in memory. *Proposed solution:* Implement `onEnvironmentSyncIn` and `onEnvironmentSyncOut` in the Kubernetes provider using a streaming `execInPod` with a tar pipeline — for syncIn the host builds the archive on disk and streams its raw bytes into the pod's stdin (`head -c <exact-size> | tar -x`, no base64); for syncOut in-pod `tar` writes to the exec's stdout and the host streams those bytes straight to a file. Path confinement, atomic replace, secret-mode enforcement, TOCTOU protection, and a streamed-bytes fail-closed guard are all enforced. ## What Changed - **New `src/file-sync.ts`** in `packages/plugins/sandbox-providers/kubernetes/` — `performSyncIn` and `performSyncOut` over an injected pod-exec closure, keeping transfer logic hermetically unit-testable - **New `execInPodStreaming` in `src/pod-exec.ts`** — a streaming exec primitive that binds a caller-supplied stdin readable and a stdout writable to the exec WebSocket data channel, added alongside the existing `execInPod` (which is unchanged). This lets a transfer stream raw bytes to/from disk instead of buffering the payload as a single string - **Updated `src/plugin.ts`** — registers `onEnvironmentSyncIn`/`onEnvironmentSyncOut`; resolves the `sandbox-cr` pod exactly like `onEnvironmentExecute` and delegates; `job` backend rejects file-sync calls explicitly (out of scope) - **syncIn path:** host builds the tarball to a temp file → streams its raw bytes over exec stdin, bounded in-pod by `head -c <exact-archive-size> | tar -x` (no base64 anywhere) → extract into a `/proc/self/fd`-pinned reserved `0700` staging dir → `chmod`-before-`mv -f` atomic replace per file (directory mappings use `followSymlinks`→`-h`) - **syncOut path:** in-pod validate + realpath-snapshot each source (closes the validation→copy TOCTOU window) → single-exec `tar -c` streamed over exec stdout → host streams that stdout straight to a temp file through a byte-counting transform → member-confined extraction of the sandbox-authored archive - **Security properties:** secret files land at requested mode with no widened window; every interpolated path is shell-quoted and confined lexically plus via in-pod `realpath`; the outbound stream is bounded by a **streamed-bytes disk guard** (`MAX_SYNC_OUTPUT_BYTES`, 8 GiB default, per-call overridable) that fails the transfer closed — writing no target file — if an untrusted pod emits more bytes than allowed. Neither host nor pod buffers the whole payload, so there is no in-memory size cap on the transfer - **No changes** to `execInPod`, `wrapCommandWithEnv`, or `FastUploadInterceptor` (the `environmentExecute` path is untouched) - **No dependency or lockfile changes** - **New tests** in `test/unit/file-sync.test.ts` (atomic-replace, `0600` secret mode, symlink preserve/deref, dir-mapping, exclude, path-confinement rejection, streamed-output guard fail-closed) and `test/unit/pod-exec.test.ts` (streaming stdin/stdout, caller-sink error fail-closed), plus extended `test/unit/plugin.test.ts` ## Follow-up: Legacy Job-Lease Base64 Fallback Fix Addresses the Greptile 4/5 blocking finding ("Handle existing job leases", `server/src/services/environment-runtime.ts`). Job leases provisioned before the `nativeFileSyncUnsupported` metadata flag existed carry `backend: "job"` but no flag, so `supportsSync()` treated them as native-capable and routed their sync to the pod-exec hook — which the job backend rejects (it has no exec channel) instead of using the byte-identical base64 fallback. The fix adds a belt-and-suspenders gate on the persisted `backend === "job"` field alongside the existing `nativeFileSyncUnsupported` flag check, so pre-existing job leases continue syncing via the base64 fallback after deployment. No behaviour change for `sandbox-cr` leases. ## Verification - `pnpm --filter @paperclipai/sandbox-provider-kubernetes test` — 19 files / 182 tests green, including the existing `upload-interceptor` and `pod-exec` suites - `tsc --noEmit` in the kubernetes package — 0 errors - The sync hooks are opt-in; existing `environmentExecute` behaviour is unaffected and tested by the unchanged existing suites ## Risks - **Opt-in only:** `onEnvironmentSyncIn`/`onEnvironmentSyncOut` are registered conditionally; providers that do not register them fall back to the existing chunk loop. No regression risk on the existing path. - **Shell-injection surface:** all path interpolation uses shell-quoting; paths are additionally confined lexically and via in-pod `realpath` before use. - **TOCTOU on syncOut:** the in-pod snapshot validates and records file metadata before the tar call, closing the window between validation and copy. - **Archive member confinement:** host-side reassembly rejects any tar member whose resolved path escapes the target directory, preventing a malicious in-pod tar from writing outside the intended destination. - **Untrusted-output volume:** an over-large outbound stream trips the streamed-bytes disk guard and fails closed (no target written and the temp sink is swept) rather than filling host disk or memory; the guard bounds disk unconditionally and bounds memory insofar as WebSocket write-backpressure holds. ## Model Used Anthropic Claude Sonnet 4.6 (`claude-sonnet-4-6`) — produced by a Claude-based AI agent using agentic tool use and multi-step code generation. 200K context window, extended reasoning, code execution and verification capabilities. ## 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: Harold Kim <harold@paperclip.ing> Co-authored-by: Paperclip <noreply@paperclip.ing>	2026-07-22 18:52:47 -07:00
Jannes StubbemannandClaude Opus 4.8	05ab45225a	feat(plugin-kubernetes): self-hostable Kubernetes sandbox provider (stage 1/3: plugin package) (#5790) ... ## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - Sandbox providers are the seam that lets agent runs execute in isolated environments; today the only first-party remote provider is Daytona, a hosted third-party service > - Self-hosters running Paperclip on their own infrastructure (often Kubernetes already) have no first-party way to run agent sandboxes on a cluster they control > - That gap matters for teams with data-residency, sovereignty, or cost constraints who cannot or will not send workloads to a hosted sandbox service > - This pull request adds a Kubernetes sandbox-provider plugin as a standalone, workspace-excluded package: it implements every SandboxProvider hook the Daytona provider does, on infrastructure the operator owns > - The benefit is that any Paperclip deployment with a Kubernetes cluster gets multi-tenant, network-isolated, quota-bounded agent sandboxes with zero new external dependencies ## Linked Issues or Issue Description No existing issue. Following the feature template: - **Problem:** Paperclip's remote sandbox execution requires a hosted third-party provider. Self-hosters cannot run agent sandboxes on their own Kubernetes clusters with a first-party provider. - **Proposed solution:** A `@paperclipai/plugin-kubernetes` sandbox-provider plugin with two backends: long-lived sandboxes via the [kubernetes-sigs/agent-sandbox](https://github.com/kubernetes-sigs/agent-sandbox) CRD (multi-command exec, adapter-install pattern) and one-shot `batch/v1` Jobs (stable APIs only, no extra controllers). - **Alternatives considered:** Driving kubectl from a generic shell provider (no lifecycle/lease semantics), or requiring a hosted provider (exactly the constraint this removes). ## What Changed This is **stage 1 of 3** of a staged contribution (direction agreed with maintainers): the plugin package alone. Stage 2 (server integration: lease params, provider registration) and stage 3 (agent runtime images + CI) are companion PRs that will be cross-linked from a comment here. - New package `packages/plugins/sandbox-providers/kubernetes` (workspace-excluded, like the path already carved out in `pnpm-workspace.yaml`): src, unit + kind integration tests, operator prerequisite manifests, README, smoke-test guide - Implements the full SandboxProvider hook surface the Daytona provider implements: `validateConfig`, `probe`, `acquireLease`, `resumeLease`, `releaseLease`, `destroyLease`, `realizeWorkspace`, `execute` - Two backends: `sandbox-cr` (default; long-lived pod via the agent-sandbox `Sandbox` CR, supports multi-command exec) and `job` (one-shot `batch/v1` Job; nothing beyond k8s 1.27+ required) - Per-run adapter resolution: one environment serves mixed harnesses; the per-run `adapterType` hint is read through a local optional type extension, so the plugin typechecks and builds against the current plugin SDK and simply falls back to the environment's configured default adapter until stage 2 lands - Exec-env wrapping: the Kubernetes exec API carries no environment, so commands are wrapped to receive the run's env - Fast-upload interception for workspace realization, scoped per lease - Per-tenant isolation: derived namespace per company, RBAC, ResourceQuota, restricted-PSS pod security (runAsNonRoot, drop ALL, seccomp RuntimeDefault, no SA token automount) - Network egress policy in two flavors: native `NetworkPolicy` and `CiliumNetworkPolicy` (FQDN allowlists) - Image allowlist with glob matching, registry override, and per-run image override validation - Per-run Kubernetes Secrets carrying agent credentials, ownerRef'd to the Job or Sandbox CR for cascade GC ## Verification - Standalone build, exactly as the README documents: ```bash cd packages/plugins/sandbox-providers/kubernetes pnpm install --ignore-workspace pnpm test # 147 unit tests, 17 files, all green pnpm typecheck # clean against the in-repo plugin SDK on master pnpm build # dist/ emitted, manifest + worker entrypoints present ``` - A kind-cluster end-to-end integration test is included (`RUN_K8S_INTEGRATION_TESTS=1 pnpm test test/integration/end-to-end-run.test.ts`) - Beyond CI: this provider has been verified in a production multi-tenant deployment against five harnesses (opencode, pi, codex, gemini, claude code) with real billed runs ## Risks - **Zero behavior change for any existing deployment.** The package is workspace-excluded; nothing in the server imports or loads it until stage 2's integration lands. No existing code paths are touched. - The default `sandbox-cr` backend depends on an alpha CRD (`agents.x-k8s.io/v1alpha1`); the README flags this and the `job` backend uses only stable APIs as a fallback. - Risk surface is confined to deployments that explicitly install and configure the plugin. - The default runtime images (`ghcr.io/paperclipai/agent-runtime-*`) are published by the stage 3 companion PR (#7934); until that lands, deployments must point `runtimeImage` at their own images. ## Model Used Claude Opus 4.8 (1M context), extended thinking, with tool use (Claude Code). ## 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 run tests locally and they pass - [x] I have added or updated tests where applicable - [ ] If this change affects the UI, I have included before/after screenshots (no UI changes) - [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 (pending this push) - [ ] 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: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-10 21:07:00 -07:00