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Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 DottaandPaperclip
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b648d8cdda |
fix(evals): support explicit Grok qualification workflows (#13878)
## Thinking Path > - Paperclip manages AI agents and their provider connections. > - Product E2E checks real tasks through the browser, server, and runner. > - Grok qualification needs separate API-key and subscription evidence. > - Product subscription tests and direct Grok protocol evals need explicit credential delivery. > - This change supplies each credential only to its selected profile and prepares the pinned binary. > - Maintainer authorization and protected-environment gates remain required. ## Linked Issues or Issue Description Refs #13845, #13847, #13850, #13882. The Grok feature branch has a manual subscription qualification profile. The trusted master workflow must admit its selected credential and prepare the same verified binary and artifact verifier as the API profile. Direct protocol evals also need the selected xAI key and pinned Grok binary. These prerequisites do not register or schedule the new profiles on master. ## What Changed - Deliver `GROK_AUTH_JSON` from the protected paid environment only when the selected profile requests that credential. - Install the checksum-verified Grok binary for the local subscription profile. - Prepare the pinned artifact verifier for the manual subscription suite. - Extend workflow security assertions to cover the new credential and profile. - Add the ACPX Grok credential mapping to the trusted-master catalog, then deliver only the selected `XAI_API_KEY` to direct protocol cells and install the target’s checksum-verified Grok binary before packaging. - Allow a direct-protocol concurrency override from two cases up to the existing configured ceiling; it can only lower concurrency. - Document the Grok protocol workflow and its API-only credential boundary. - Render missing LLM usage and cost as Unavailable, and label partial observations with coverage. Preserve raw records, grades, and actual zero costs. - Preserve measured campaign source metadata during report regeneration instead of inheriting the renderer checkout or CI event; skip empty legacy source records when recovering older provenance. ## Verification - Latest commit `05d05801477104c8155977bbbe3e119a5241f960`: all 54 reported checks successful, two intentional skips, Greptile 5/5, and zero unresolved review threads. [CI run](https://github.com/paperclipai/paperclip/actions/runs/35890978288). - After merging current master, all 17 workflow security/image tests and 23 catalog/workflow policy tests passed. The trusted catalog also generated all 39 pinned Grok cells with `XAI_API_KEY` and one case per shard. The new policy tests execute the concurrency guard against valid, out-of-range, and malformed values. - The Grok branch separately passed 450 Product harness unit tests, including private company credential staging, cleanup, and token-fragment redaction. - The fresh-login native subscription smoke passed three repetitions of tool execution, session resume, restrictive permissions, and cleanup. These are setup evidence; full subscription Product qualification remains pending. - All 72 focused report/billing/history/catalog tests and the Product harness typecheck passed for the report-display change. The initial sandbox run could not open the tsx IPC socket; the permitted rerun passed. A zero-provider-call replay of the actual 16-cell Grok campaign preserved all result records, grades, timing, and source provenance while correcting missing usage labels. - Review the thirteen-file diff. Provider credentials still enter only the selected paid-test step; default-branch, numeric-actor, and environment restrictions are unchanged. ## Risks This admits a refreshable subscription credential to explicitly selected trusted tests. Store it only in `runner-e2e-paid`, use a test login, and remove it after qualification. Unselected profiles receive an empty value. Pull requests cannot trigger the paid workflow. This PR changes no fleet admission or actor allowlist. ## 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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DottaandPaperclip
|
43acbcc398 |
fix(runner): preserve sessions and complete question and approval continuations (#13655)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The native runner connects task state to provider sessions. > - Follow-up turns must retain provider memory and carry new user direction. > - Lost session IDs caused repeated context and extra input tokens. > - Native question answers and approval races could leave valid work blocked. > - This pull request repairs those paths and adds regression coverage. > - Agents can continue accepted work without repeating the conversation or losing the user's answer. ## Linked Issues or Issue Description Refs #13574. That merged PR shortened continuation prompts and moved question instructions into tool documentation. This change preserves sessions and fixes failures exposed by broader testing. Related runtime work: #13408 and #13410. **What happened?** Native follow-up turns could lose the provider session ID. Completion guidance could replace the original task with its latest comment. Claude native questions could remain pending after the user answered. Approval during a running tool call could suspend the run before the tool response arrived. Onboarding and chat handoff instructions also caused repeated planning or missing plan documents. **Expected behavior** Reuse a valid provider session. Send only new events when that session already has the history. Preserve the task requirements and apply later user direction. Store the question answer and deliver it to the waiting run. Finish governed tool responses before suspending. Execute the accepted plan without asking for the same approval again. **Steps to reproduce** Run the continuation, local-session-integrity, first-task, and agent-chat suites with native Codex and Claude. Include provider-question-bridge, accept-while-running, and plan-handoff. **Paperclip version or commit** This branch is based on master |
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DottaandPaperclip
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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> |
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DottaandPaperclip
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ab15aff390 |
feat: add experimental persistent agent chat (#13284)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Conversations must use the same tasks, controls, and execution history. > - Users need an ongoing chat with an agent without managing task properties. > - Agents should clarify and plan work, then hand execution to assigned project tasks. > - This pull request combines the reviewed Agent Chat stack for one squash merge. > - The benefit is persistent conversation with normal task governance and shared UI. ## Linked Issues or Issue Description **Subsystem affected** Task lifecycle, agent runtime tools, shared task UI, and browser/paid runner tests. **Problem or motivation** Users need one persistent conversation with each agent. A separate chat store or renderer would duplicate task behavior and bypass existing controls. **Proposed solution** Use a task-backed chat per company, user, and agent. Reuse the task composer and transcript. Clarify and plan in chat, then create assigned project tasks with the relevant plan. Keep Agent Chat behind its own disabled-by-default experimental setting. **Roadmap alignment** This implements the task-backed direction in [CEO Chat](https://github.com/paperclipai/paperclip/blob/master/ROADMAP.md#-ceo-chat). Related proposals: #2504 and #9693. Related request: #7981. The maintainer requested one squash merge of the complete stack. Consolidates the reviewed runtime [#13281](https://github.com/paperclipai/paperclip/pull/13281), backend [#13282](https://github.com/paperclipai/paperclip/pull/13282), and UI [#13283](https://github.com/paperclipai/paperclip/pull/13283) layers with this PR's E2E coverage. All four layers passed CI and received Greptile 5/5 before consolidation. This PR targets master and includes the complete feature. ## What Changed - Add personal canonical chat tasks with ordinary company visibility, immutable identity, idempotent first sends, and an idle waiting state. - Process `/new` in queue order. Preserve history, release a chat pause, and fence old provider context and delayed writes. - Keep chat lifecycle rules across recovery, finalization, assignment, task lists, and rollups. - Support research and plan revision in chat. Hand plans to ordinary assigned project tasks before execution starts. Reject new chat subtasks. - Add repository-aware project creation and discovery tools, including multiple repository IDs and GitHub URLs, authorization, idempotency, and durable project-created cards. - Reuse task UI components for chat, with starred/recent agent navigation and a separate `enableAgentChat` experimental flag. - Add deterministic browser tests and 24 paid chat cells across four Codex/Claude profiles, with validated reports and screenshots. - Integrate current master recovery, controller lease, queued-message, and task UI changes. Gate chat interruption and deferred promotion on ownership/feature policy. Guarantee lease renewal and active controls are stopped even if teardown fails. - Preserve master's migration 0273 and generate chat migration 0274 with idempotent replay for development databases. ## Verification - Prior exact heads of all four PRs passed Linux CI, including build, typecheck, general/serialized tests, and browser E2E. Each had Greptile 5/5 and no unresolved findings. - Integrated local verification passed: full repository typecheck and production build, Storybook build, token gates, 340 focused UI tests, all 20 deterministic chat browser tests, two migration replay tests, 88 focused chat/queue/native/controller tests, and provider/session regressions including real lease expiry. These include the three lifecycle regressions for the final admission/teardown fixes; server typecheck also passes. Current head `1268eda16cc2af892055917e7292f068820be135` has Greptile 5/5 with no unresolved findings and passing security scans. All final-head CI gates passed: build, full Runner verification, typecheck/release registry, canary, all general/serialized test shards, and all browser E2E shards ([CI run](https://github.com/paperclipai/paperclip/actions/runs/34696739927)). Local PostgreSQL startup contention required serialized retries; skipped fixtures do not count as passing coverage. - The earlier paid campaign passed all 24 chat cells and retained 32 screenshots: [report](https://d1p6rlowie26tp.cloudfront.net/runner-e2e/campaigns/gha-34648511170-1/index.html?report=agent-chat#suite-agent-chat). It tested `abacbdfd2f660709ec37312cdb758284c8399d04`; it is prior evidence, not a paid run of this integrated head. - Manual check: enable Agent Chat in Experimental settings, open an agent, clarify and revise a plan, then hand off to an assigned project task. Stop a reply, send `/new`, and verify fresh context with retained history. Disable the setting and verify agent shortcuts/new chat turns are blocked. ## Risks - Queue/session integration can affect retries and delayed writes. Tests cover ownership, cancellation, reset boundaries, idle recovery, and ordinary task behavior. - Migration 0274 adds conversation fields and constraints. Replay is idempotent and preserves existing development chat history. - This combines the previously reviewed stack at the maintainer's request. Agent Chat remains off by default and is separate from Conference Room. ## Model Used OpenAI Codex, GPT-6 Astra (`gpt-6-astra`), with reasoning, code execution, browser tools, and parallel review. The exact context-window size is not exposed in this session. Codex and Claude also ran as test subjects in the linked paid campaign. ## 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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Dotta
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9ecd93a54d |
test(e2e): link runner campaign summaries (#12927)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - Paperclip uses a paid full-stack campaign to verify runner behavior across providers and environments. > - The campaign already creates an interactive report, workflow logs, and retained evidence artifacts. > - The merge job summary shows result totals but does not link to those resources. > - Reviewers must search several workflow jobs and artifacts to find the executed cells. > - This pull request adds direct and safe links to the exact campaign, each cell, the workflow logs, and the artifacts. > - The benefit is that a reviewer can inspect a result from the Actions summary with one click. ## Linked Issues or Issue Description **What existing behavior does this improve?** This improves the `Merge and enforce campaign result` summary in the `Runner Full-Stack E2E` workflow. **Subsystem affected** The runner E2E report generator and its GitHub Actions workflow are affected. **Current behavior** The summary lists each selected cell and its result. It does not link to the published campaign report, the workflow logs, or the evidence artifacts. **Proposed behavior** The summary includes a `View results` section. It links to the exact immutable campaign report, the workflow logs, and the artifacts. Each cell name links to its stable section in the campaign report. **Reason and benefit** The current summary does not show reviewers where to inspect the run. Direct links make the result evidence discoverable without manual URL construction or artifact searches. **Breaking changes** None. This change only adds links and stable HTML anchors to existing report output. **Additional context** Related: #12904. The cited successful campaign is [run 34026735033](https://github.com/paperclipai/paperclip/actions/runs/34026735033). ## What Changed - Add a safe URL builder for public campaign, workflow, and artifact links. - Add a `View results` section to the GitHub Actions campaign summary. - Link each summary table cell to its exact section in the immutable campaign report. - Add stable execution anchors to the generated dashboard. - Reject non-HTTPS, credential-bearing, malformed, and ambiguous link destinations. - Document the new links and their retention or publication timing. ## Verification - `pnpm test:e2e:runner:unit` — 116 tests passed. - `pnpm test:e2e:runner:typecheck` — passed. - `pnpm typecheck` — passed, including migration safety. - `pnpm build` — passed. - `pnpm exec prettier --check ...` for all changed files — passed. - `git diff --check origin/master...HEAD` — passed. - The full local server suite also ran. One unrelated macOS workspace-runtime file passed 157 tests and failed 4 existing path and port assumptions. Two failures compare `/var` with `/private/var`. Two failures cannot reserve a port outside a hard-coded range. This PR does not change that file or its dependencies. ## Risks - The immutable campaign link becomes available after the history publisher completes. The workflow and artifact links remain available while publication runs. - The artifact link requires GitHub access and follows the existing 30-day retention period. - Invalid configured URLs are omitted instead of being rendered into the summary. > 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 desktop agent with GPT-5. The runtime does not expose the context-window size. The agent used repository inspection, agentic reasoning, code execution, and GitHub CLI tools. ## 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/no-internal-issue-references`, `fix/sandbox-secret-resolution`, `feat/adapter-retry-backoff`) 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 |
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Dotta
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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 |
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Dotta
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18ea965442 |
ci(runner): stamp paid target provenance (#12805)
## Thinking Path Trusted workflow-dispatch runs execute an authorized target SHA, but GitHub context still describes the default-branch workflow revision. Retained paid results and artifact names were therefore labeling target-branch executions as master. The workflow must explicitly pass its authorized target coordinates to target code and trusted reporting. ## What Changed - emit the canonical authorized target ref alongside the immutable target SHA - pass those coordinates to paid cells and the trusted report - name shared build/provider artifacts with the target SHA rather than workflow SHA - add workflow-security coverage for all trusted provenance wiring ## Verification - focused workflow-security tests: 6/6 passed - Prettier and git diff checks passed - run 33823252706 independently proved the pre-fix defect: functionally green target cells were retained as master SHA |
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Dotta
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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 |