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| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 DottaandPaperclip
|
e34abee670 |
feat(mcp): connect assistants to a team with user OAuth (#14846)
## Thinking Path > - Paperclip gives teams durable tasks, agent execution, budgets, and approvals. > - People also use assistants in Codex, Claude, and other MCP clients. > - Those assistants need a scoped connection that preserves the person’s permissions and attribution. > - Delegating a task must not turn the assistant into the assigned agent. > - This PR adds opt-in user OAuth, ten first-party tools, browser consent, and workflow packages. > - Paid product evals verify the resulting tasks, documents, attribution, retries, and access boundaries. > - The team keeps working after the assistant conversation ends. ## Linked Issues or Issue Description **Problem or motivation** A person cannot connect an external assistant to an existing team through browser consent and safely delegate durable work as themselves. **Proposed solution** Expose an opt-in `/mcp/paperclip` endpoint with individually described first-party operations. Bind every connection to a person, client, company, resource, and scopes. Reuse domain authorization and scheduling. Package shared team-review, delegation, and follow-up workflows for OpenAI/Codex and Claude. **Alternatives considered** Related PRs #9393 and #12549 cover earlier remote MCP and board-operator approaches. This change uses user OAuth and a bounded public catalog. It does not expose a generic executor, operator administration, static shared board credentials, or external agent execution. Registry listing work in #9851 is a separate distribution step. **Roadmap alignment** This maintainer-requested implementation extends the governed MCP gateway, activity attribution, durable work products, and hosted deployment direction in `ROADMAP.md`. It implements the first release of the saved design plan; external agent participation and granted third-party tools remain later releases. ## What Changed - Add MCP 2.0 discovery and task status/comment/document Events on the same authenticated endpoint. Persist subscriptions and delivery receipts, verify HTTPS callbacks, sign Standard Webhooks, encrypt callback material, recheck permissions/Cloud membership, and bound retries/expiry. Older MCP clients keep their existing tools. - Add discovery, dynamic client registration, S256 PKCE, resource validation, rotating refresh tokens, revocation, and company consent. Store credentials as hashes and recheck membership at execution. - Add tools for connection identity, agents/projects, task search/read/create, human comments, documents/deliverables, and pending-approval links. Preserve current domain permissions and scheduling. - Add durable mutation receipts across reconnects. Matching retries replay results; uncertain outcomes keep the same request ID and require inspection. - Add consent and connection-management pages, OAuth log redaction, shared plugin workflows, and separate OpenAI/Codex and Claude package outputs. - Add eight paid Product E2E cases across three models, independent durable-state grading, usage evidence, cleanup, and report integration. Add task-document guidance and regenerate the runner capability inventories. - Add migrations 0301 and 0302, the dated implementation plan, result notes, and direct-client setup instructions in `doc/public-mcp.md`. ## Verification - Merge integration `e180b1948`: resolved conflicts with current master, preserved both eval registries, regenerated capability catalogs, and regenerated migrations as 0301/0302 while keeping the original replay-safe SQL byte-identical. Local migration safety/snapshot tests (26), MCP/OAuth tests (38), redaction/OpenAPI tests (71), and eval catalog/grading tests (198) pass. Token and capability gates pass. Full recursive typecheck passed. Fresh Greptile review is 5/5 with no unresolved findings. CI is green on this exact head (55 successes, two intentional skips, one neutral result): one unchanged Cursor sandbox test timed out at 10 seconds, then passed locally in 856 ms. A single retry of that failed shard and the aggregate workflow passed. Merge remains blocked on the repository code-owner approval rule. Earlier checks passed at `6aa0962d4fb715f2190bb7bb22efacab2e58495d`: 55 successes, two intentional skips and one neutral result. [The earlier CI run](https://github.com/paperclipai/paperclip/actions/runs/36901592350) includes all test shards, browser tests, typecheck, build and canary dry run. Greptile was 5/5 on that commit with no unresolved review threads. GitHub still requires code-owner review under the repository merge rules; passing checks do not bypass that approval. Paid source fingerprints remain separate below and in the dated result note. - Paid Events qualification passes **3/3**: GPT-5.4 Mini, Claude Haiku 4.5 and Claude Sonnet 4.6. Each uses a real public HTTPS callback, signature verification and report retrieval in a fresh conversation. A final Mini regression passes after the quota/status fixes. All evidence validates. Bounded tunnel startup retries occur before provider calls and remain visible; failed earlier attempts retain their original grades. - The earlier complete seven-case matrix passes **21/21**, with a separate **3/3** delegation regression. Two preceding matrices also passed 21/21 each. A complete 24-cell matrix including Events has not been run. [The dated results](doc/plans/2026-10-01-public-mcp-paid-eval-results.md) retain exact source fingerprints, failures, model IDs and partial costs. - Node 24: repository-wide `pnpm -r typecheck` and `pnpm build` pass after merging master. Server typecheck passes after the final quota/status changes. Eval typecheck and all 892 eval-support tests pass. - All 33 real MCP/OAuth tests pass. The preceding combined MCP, redaction, private-address and DNS-rebinding run passed 129 tests; two later MCP regressions cover quota reuse and unchanged-status suppression. All 28 adjacent issue-tree/stale-lock route tests pass. CI then found a null checkout result in the existing concurrent-workspace path; logging now uses optional status access. All 12 closed-workspace tests and all 33 MCP tests pass after that correction. The exact-start event calibration exposed a timestamp gap; scanning now includes the subscription start, with all 33 MCP tests and server typecheck passing. These two narrow corrections follow the paid regression. - A real Core → Cloud → Core authority round trip passes OAuth, MCP 2.0 subscription/delivery, current membership loss, unsubscribe, legacy SDK tools, refresh and revocation. Its callback transport is a fixture with independent HMAC verification. The paid Events campaigns separately prove public HTTPS delivery. - Earlier component qualification passed UI 7,117 tests, CLI 502, shared 832, skills catalog 20, database 160 and OpenAPI 10. Token gates, module boundaries, migration order and plugin regeneration passed. CI covers general/serialized suites, eight browser shards, runner checks, typecheck, build and canary dry run. - **Local full-suite limitation:** the earlier monolithic run was not clean. It encountered overlapping schema rebuilding, Mac database shared-memory limits and isolated CLI/fixture failures. Targeted reruns passed. The existing >32 MiB Git filename stress test still hit its 300-second Mac timeout. The additional serialized sweep stopped after 62 passing suites once CI passed. Original failures and partial logs remain; this PR does not claim a wholly green local monolithic run. - Local Codex CLI and Claude Code OAuth login and MCP SDK interoperability were verified. Public-store installation, actual ChatGPT Work Cloud Events UI, staging HTTPS client behavior and hosted newcomer provisioning remain release gates. Enablement is moving to **Settings → Experimental → Assistant connections (MCP)** in the stacked follow-up [#14933](https://github.com/paperclipai/paperclip/pull/14933). Merge both for the intended setup experience. This foundation branch alone still uses `PAPERCLIP_PUBLIC_MCP_ENABLED=true`. After deployment, set `PAPERCLIP_PUBLIC_URL` to the authenticated instance's HTTPS origin, and connect to `/mcp/paperclip`. Select a team and allow writes in browser consent. Configure an available agent and budget, then delegate and retrieve results later. For Events, rescan the deployed plugin catalog in ChatGPT Work Cloud; the host supplies its webhook credentials when the user asks to watch a task. See [the setup runbook](doc/public-mcp.md). ## Risks - Events are at-least-once and may arrive out of order. No replay cursor is advertised. Clients must refresh finite subscriptions, read current state and avoid comment feedback loops. Callback material uses the instance secrets master key; hosted subscriptions require the updated Cloud broker and are bounded to five minutes/the access proof expiry. - ChatGPT Work Cloud/dot event UI, plugin rescan and a hosted staging subscription remain deployment gates. Local signed-webhook and paid model evidence does not claim those surfaces have been exercised. - Disabled by default. Merging adds schema and opt-in code; it does not deploy a public endpoint, publish a store listing, create a team, or start paid agents. - Migrations 0301 and 0302 are additive and idempotent. Their SQL is unchanged from the earlier preview numbers, so hash-aware upgrade reconciliation preserves prior staging applications. Normal instance upgrades must apply it before enabling MCP. - Task creation and comments can schedule paid agent work. Consent and tool descriptions disclose that effect. Revocation blocks future calls but does not undo delegated work. - Public deployments need edge rate limits and credential-safe logging. Internal dispatch is restricted to the closed catalog and carries a request-local verified actor. - Hosted onboarding requires the companion Cloud broker, encryption-key configuration, and tenant rollout. Self-hosted direct connections can use this PR alone. - Store acceptance and agent-mode participation are not claimed. Checked-in plugin endpoints are development defaults; rebuild packages for a real deployment before installation. ## Model Used OpenAI GPT-6 in Codex, with reasoning, tool use, and code execution. A more specific serving version and context-window size were not exposed by the session. Paid eval models: `gpt-5.4-mini-2026-03-17`, `claude-haiku-4-5-20251001`, and `claude-sonnet-4-6`. ## 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 (targeted/component checks; full local-run limitations are recorded above) - [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
|
83076d7e7c |
feat: return completed handoffs to Agent Chat (#14408)
Return completed Agent Chat handoffs through a durable outbox and scope each generated update to its supplied tasks. Add recovery, browser delivery, result access, and calibrated quality coverage. Validated with two consecutive ten-case Claude/Codex campaigns, all CI checks, and a 5/5 review. Co-Authored-By: Paperclip <noreply@paperclip.ing> |
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DottaandPaperclip
|
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
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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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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 |