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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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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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af3023f1e3 |
fix(runner): repair paid provider startup paths (#12769)
## Thinking Path > - Paperclip manages AI agents that perform work. > - Paperclip Runner connects durable task runs to local provider processes. > - The full-stack paid matrix exposed failures after the runner integrity repair. > - Verified JavaScript entrypoints lost their relative module graph when Linux executed them through descriptor paths. > - Returned provider startup errors also remained pending and became indeterminate after recovery. > - Sparse Codex tool lifecycle events lost the `write_document` identity before task transcript projection. > - This pull request repairs those three boundaries and makes the structured-question fixture deterministic. > - The benefit is repeatable provider startup, exact failure replay, and correct inline Plan placement. ## Linked Issues or Issue Description Refs #12721 and #12700. **What happened?** The paid runner matrix failed ACPX and OpenCode startup before provider session creation. The runner journal then replaced the original startup error with an indeterminate recovery result. Native Codex saved a Plan but rendered it only as a fallback card. A legacy Claude waiting reply could also echo the reserved terminal marker before the answer arrived. **Expected behavior** Verified JavaScript providers must start from immutable descriptor-backed artifacts. Returned startup failures must persist as terminal failed command results. Native tool lifecycle updates must preserve the `write_document` boundary. Pre-answer fixture output must not contain the reserved terminal marker. **Steps to reproduce** 1. Run the local provider cells in the Runner Full-Stack E2E workflow. 2. Observe ACPX and OpenCode fail during `session.open` before provider execution. 3. Observe recovery report `execution_indeterminate` instead of the original startup error. 4. Run the native Codex Plan cell and observe the fallback Plan card after the tool activity row. 5. Run the legacy Claude structured-question resume cell and observe an early marker echo in waiting prose. **Paperclip version or commit** `0f9452101740835ce0b1488a204bf48acd5bafc3` **Deployment mode** Local development with the paid GitHub Actions acceptance workflow. ## What Changed - Bundle the ACPX sidecar and OpenCode proxy as self-contained Node ESM entrypoints before hashing and verified descriptor launch. - Anchor ACPX dynamic provider package resolution at a controller-derived provider-pack root and keep that root out of the provider child environment. - Persist executor-returned startup errors as redacted durable failed command results while retaining indeterminate recovery for true process death. - Coalesce sparse native tool items by stable ID so a late `write_document` name, input, and result reach the transcript boundary once. - Forbid the structured-question fixture from spelling or announcing its reserved terminal marker before the user answers. ## Verification - Rust and TypeScript regression tests cover durable failed replay, true crash ambiguity, bundle closure, package-root derivation, environment filtering, exact Codex tool lifecycle coalescing, and prompt determinism. - Local execution is intentionally limited to formatters and static diff checks. GitHub Actions will run tests, type checks, builds, and security checks. - After ordinary CI is green, scoped paid cells will validate one ACPX launch, one OpenCode launch, native Codex Plan projection, and legacy Claude structured resume before a complete matrix rerun. - Prior failing matrix: https://github.com/paperclipai/paperclip/actions/runs/33682434315 ## Risks - Bundling changes the bytes covered by provider launch hashes. Provider-pack generation already hashes the final built files. - ACPX still loads qualified provider packages dynamically. The controller supplies a normalized package root, while existing version, digest, path, and descriptor checks remain active. - Durable `failed` is terminal. Replays return the same redacted result and do not execute the provider effect twice. > 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 based on GPT-5 with agentic reasoning, repository inspection, code editing, Git, parallel subagents, and GitHub Actions coordination. The exact deployed snapshot and context-window size are not exposed to this task. ## 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 linked related public work or described the bug in this PR - [x] I have not referenced internal or instance-local Paperclip issues or links - [x] My branch name describes the change and contains no internal ticket id - [ ] I have run tests locally and they pass (intentionally deferred to GitHub Actions) - [x] I have added or updated tests where applicable - [x] No documentation change is required for this runtime repair - [x] I have considered and documented the risks above - [ ] All Paperclip CI gates are green - [ ] Greptile is 5/5 with no open P2s, recommendations, or follow-ups - [x] I will address all Greptile and reviewer comments before requesting merge |
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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 |