## Thinking Path
> - Paperclip is the open source app people use to manage AI agents for
work.
> - The Runner executes agents through native and managed provider
drivers.
> - The direct live eval layer had drifted from the current Runner
contracts.
> - The old local workflow did not provide a complete parallel campaign
or durable report history.
> - The Runner also needed current native OpenCode and OpenRouter
qualification.
> - This pull request restores the direct campaign, corrects the runtime
gaps that the campaign found, and adds safe hosted Evalbook history.
> - The benefit is repeatable model comparison against an immutable
Runner and eval source revision.
## Linked Issues or Issue Description
Refs #11297
Refs #11634
**What existing behavior does this improve?**
This improves the direct live `paperclip-runner` eval workflow, provider
execution contract, and static Evalbook reporting path.
**Current behavior**
The direct evals do not have one maintained full campaign on current
`master`. OpenCode has no qualified multi-model OpenRouter roster.
Parallel provider bursts can compact committed events before the
transport observes them. Local reports do not have a separate safe S3
history index.
**Proposed behavior**
Run one immutable roster-plus-case matrix. Use the shared paid AWS
runner fleet. Keep raw artifacts access-controlled. Publish a sanitized
canonical Evalbook report under the separate `runner-protocol-evals` S3
prefix. Keep immutable campaign directories plus root history, latest,
and latest-green pointers.
**Reason and benefit**
Maintainers can compare native Codex, native OpenCode, ACPX, Claude
Managed, and AWS AgentCore behavior over time. They can inspect failures
without mixing this direct protocol layer with browser full-stack E2E.
**Breaking changes**
None. The new workflow and S3 prefix are additive. The existing Runner
full-stack E2E workflow and report remain separate.
## What Changed
- Added a trusted two-shard direct live workflow for up to 393
roster-plus-case cells.
- Reused the numeric actor allowlist, protected paid environment, and
RunsOn fleet controls from Runner full-stack E2E.
- Added immutable Runner and eval revision resolution, exact credential
boundaries, bounded retries, and cost ceilings.
- Added a public report projection that removes sessions, transcripts,
tool payloads, state, traces, raw failures, remote profile identities,
and credential-shaped values.
- Added additive S3 history under `runner-protocol-evals`, with
immutable campaigns and mutable root index pointers.
- Added native OpenCode model injection and current OpenRouter pricing
contracts.
- Fixed direct eval completion, workflow execution, semantic discovery,
warm-attach state reset, executable binding, and event-burst handling.
- Kept Runner browser full-stack E2E behavior and publication separate.
- Documented local and hosted direct eval operation.
## Verification
- `pnpm --filter @paperclipai/paperclip-runner
test:runner-protocol-eval-publish` — 15 passed.
- `pnpm --filter @paperclipai/paperclip-runner build:typescript` —
passed.
- `actionlint .github/workflows/runner-protocol-live-evals.yml
.github/workflows/runner-full-stack-e2e.yml` — passed.
- Local current matrix at the revision in
[paperclip-evals#17](https://github.com/paperclipai/paperclip-evals/pull/17)
— 323 cells across 10 enabled configurations completed.
- Final local current matrix — 269 passed, 11 behavior failures, and 43
expected macOS-only ACPX platform failures.
- Targeted Runner checks — 13/13 eval-session tests, 15/15
publisher/security tests, and package typecheck passed; complete PR CI
is green, including all browser E2E shards.
## Risks
- Paid live campaigns can consume provider budget. Actor authorization,
exact per-cell ceilings, protected environments, and explicit schedule
enablement bound this risk.
- Public reports can leak provider data. The workflow publishes only a
separately projected report and validates every file before upload.
- The new workflow cannot publish until it is present on the default
branch. This pull request does not change the existing
`runner-full-stack-e2e` publication path.
- The campaign is large. It uses two GitHub matrices and caps combined
concurrency at the shared fleet limit.
> 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 on GPT-5. The exact deployment ID and context-window size
are not exposed. The model used reasoning, code editing, browser
inspection, repository tools, and live provider execution.
## 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
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