PaperClipAI/tests/runner-e2e/CHAT-FEATURES.md

# Chat feature evals

`chat-features` promotes two entries from the [scenario catalog](chat-scenarios/README.md)
into real Product E2E executions. The scope is deliberately small: prove the
fixture, browser interaction, independent grading and report loop before adding
more features. Catalog coverage is not live acceptance.

| Scenario | Actual user request | Independent outcome |
| --- | --- | --- |
| `tasks.create-backlog` | Add a task for Morgan to draft the launch announcement in Launch, but don't start it yet. | Exactly one task, Launch project, Morgan assignee, backlog at creation, no worker execution, usable chat link after reload. |
| `tasks.delegate-announcement` | Have Morgan write a two-sentence launch announcement using the Launch project brief, save it on the task, and send me the result here when it's finished. | Exactly one task, actual Morgan execution, current worker-authored document grounded in the project brief, task Done, automatic completion response in the original chat, usable result after reload. |

The queries are read directly from `chat-scenarios/tasks.yaml`. Context and
expected outcomes stay evaluator-side. The fixture creates a disposable company,
CEO, Morgan and Launch project through production APIs; both agents use the
shipped role instructions. The brief contains a product, date and random invitation
code absent from the user query. The browser sends one message through Agent Chat.
The harness never creates the result task, writes the announcement, completes the
task, or sends a hidden follow-up.

## Run the first slice

Follow the installation steps in [README.md](README.md#local-commands). The Codex
subscription profile uses the catalog's recorded default model and an
explicit `CODEX_AUTH_JSON` login. Load that login privately into the launcher
environment; do not print it or save it in tracked configuration. The existing
subscription fixture stages only `auth.json` in the disposable company login slot
and removes it with the isolated instance.

The local native OpenCode profile uses the current production-qualified model
and `OPENROUTER_API_KEY` through the existing encrypted company-secret fixture.
Each of the two journeys has a cell for each original profile. These four cells
remain unchanged; the TestOps profile below adds one separately named backlog cell.

```sh
pnpm test:e2e:runner:typecheck
pnpm test:e2e:runner:unit
pnpm test:e2e:runner -- --list --suite chat-features
pnpm test:e2e:runner -- --id chat-features.runner-codex-subscription.local.create-backlog --max-automatic-retries 0
pnpm test:e2e:runner -- --id chat-features.runner-codex-subscription.local.delegate-announcement --max-automatic-retries 0
pnpm test:e2e:runner -- --id chat-features.runner-opencode.local.delegate-announcement --max-automatic-retries 0
```

Run creation first and inspect its packaged report before delegation. For the original Codex
acceptance, run each cell three times against fresh fixtures on the same definition
revision. Keep every attempt, including failures; a retry does not erase one. A
fixture or product correction starts a new three-sample measurement. All cells
are explicit-only and excluded from `--all`; this does not implement or qualify
the rest of the YAML inventory.

## OpenCode TestOps integration acceptance

The additional explicit cell
`chat-features.runner-opencode-deepseek-1017.local.create-backlog` runs the same backlog
query, public fixture and saved-state oracle on native OpenCode with
`openrouter/deepseek/deepseek-v4.1-flash-1017`. It requires only the selected
`OPENROUTER_API_KEY` profile credential. The launcher stores an encrypted secret
reference for the disposable agents; no key belongs in catalog data or chat.
This selected model is a qualification candidate. Other OpenCode suites keep
their existing model, and delegation is not registered for this profile.

```sh
pnpm test:e2e:runner -- --id chat-features.runner-opencode-deepseek-1017.local.create-backlog --max-automatic-retries 0
```

Use a separately named TestOps integration-acceptance plan and launch for this
single cell. It retains one human request, one accounted controller work run,
120-second turns, a seven-minute attempt, the five-minute stable-state bound
and zero automatic retries. Morgan is created as fixture context but must not
execute the saved backlog task. Existing setup probes and unknown usage remain
reported separately. The original 244-scenario campaign, failed attempts and
Codex measurements are not reset or regraded by this measurement.

The existing normalized result, JUnit and packaged report carry the outcome to
the execution integration. Catalog selection and provider-free oracle checks
do not establish an AWS model pass or a successful TestOps upload. Accept this
integration only after the real AWS execution and its TestOps result agree.

## Bounds and grading

Creation expects one accounted native work run; delegation expects three (CEO
handoff, Morgan work, CEO completion response). Runs have a 120-second timeout
and attempts a seven-minute deadline. The visible task and completion reply must
settle within five minutes after the human request, including a five-second stable
observation. This is an independent journey acceptance bound: three runs may not
each consume their maximum timeout and still pass. The outer attempt also covers
fixture setup, reload and link checks, and evidence collection. A failed provider
run rejects immediately; the historical missing turn-start event was not a
five-minute poll timeout. Automatic retries are disabled. Company
and agent budgets are 500 cents each, CEO daily work runs are capped at three,
Morgan at one, and periodic heartbeats are disabled. Initial production hello
probes fall outside heartbeat usage and budget accounting; detailed setup tokens
and cost are unavailable. These limits are not an absolute inference or cash cap.
Subscription cost coverage must remain explicit in the report.

An obsolete CEO assignment can leave a cancelled queue entry when the CEO creates
a task and then assigns it to Morgan. Grader v2 distinguishes that entry from
provider work only when the dispatch gate records `issue_assignee_changed`, an
explicitly null start time, no native issue, and its unchanged stale-queue stop
receipt. The entry must belong to this company and the one task now assigned to
Morgan. It stays in the full observation and final ledger, with its events and an
explicit provider-log omission reason. Active, unrelated, or unproved cancellations
still fail. The three successful work runs, worker output, completion delivery,
and original deadlines remain required. Backlog creation still permits no task wake.

Because this subscription currently reports unpriced usage, setup explicitly sets
`unpricedUsagePolicy: allow` on the disposable company and both agents through the
public budget API and verifies all three policies. The 500-cent hard stops remain
enabled for reported costs; they cannot cap unknown dollar usage. Run caps and
deadlines remain independent bounds. Without this explicit funding prerequisite,
the default policy pauses the company after the first unpriced run and cancels
the delegated worker. Such a pause is not a successful chat journey.

`chat-feature.json` retains the scenario ID, capability IDs, grader version,
saved records, audit attribution, rendered links and individual checks.
`chat-feature-runs.json` uses the existing native run evidence collector, including
on failures. Setup evidence records fixture IDs, synthetic brief, readiness and
saved budgets. Ordinary Product E2E evidence packaging, redaction, cleanup, failure
classification and dashboards own the result. The definition digest includes the
query, defaults, flow and grader sources.
Individual saved-state checks are also recorded when the journey fails, so the
report shows partial progress without turning it into a passing workflow.

The grader rejects duplicate tasks, wrong owners/projects/companies, early execution,
missing audit attribution, missing or stale deliverables, extra human nudges and
uncorrelated completion replies. Document provenance binds the current revision
to Morgan's actual run. The completion check reuses `completionDelivery`; a
handoff promise or a marker alone cannot establish delivery. Chromium verifies
the task link and reload persistence.

The checks establish the specified saved state, two-sentence structure, required
brief facts and result access. They do not score writing quality or every semantic
claim in the response. Inspect the retained conversation and announcement before
accepting the first samples; the existing completion semantic-review rubric still
applies. Oracle calibration tests exercise both valid evidence and plausible wrong
outcomes without calling a model.

Only after this loop is stable should another scenario be promoted. Keep each
starting condition explicit: connected versus missing connection, allowed versus
approval-required, and so on. Reuse the fixture/report infrastructure and add a
case-specific outcome oracle; do not make all YAML paragraphs executable through
an unconstrained model judge.

## Initial measurement — 2026-10-26

Three fresh samples per cell on definition
`7fb20426ce3f1dd4efeddfb79f231336ea65a16b9c2a73bf6131e997acd74e9d`
produced **5/6 passes**: backlog creation 3/3 and delegation 2/3. These used local
native Codex subscription execution with `gpt-5.6-sol`. All six cleaned up
successfully. Both workflows have successful browser-to-provider evidence, but
the initial repeatability target is not met.

In campaign `local-2026-10-26T15-48-12-199Z`, the first CEO run in delegation
failed before creating a task: `runnerd did not report the provider turn identity`.
Retained events show submission and provider startup, followed by the transport's
turn-start deadline. The precise cause of the missing event remains unresolved;
the existing machine classification is retained without claiming that the provider
or infrastructure has been proven responsible. Investigate this before expanding
the suite. No replacement sample erased this failure.

The local `results/chat-feature-acceptance/acceptance.md` records every sample and
earlier failed revision; its sibling dashboard uses the standard report generator.
Results are ignored generated artifacts, so retain or publish them through the
existing Product E2E pipeline when handing this measurement to another machine.

### Follow-up measurement — 2026-10-26

The unchanged delegation cell subsequently passed three fresh executions:
`local-2026-10-26T16-50-50-751Z`, `local-2026-10-26T16-54-58-203Z`, and
`local-2026-10-26T16-58-39-074Z`. The latter two campaigns also ran backlog
creation concurrently and passed both cells. All five selected executions used
one attempt with zero automatic retries, retained the same definition above,
and passed cleanup. Five existing turn-identity, early-terminal and runner-exit
regressions passed as well.

These are green rechecks, not a demonstrated repair of the earlier startup
interruption: no production code, timing limits or oracle assertions changed,
and the missing turn-start event did not reproduce. Keep the original failure
in the history. Across the original final-definition batch and this recheck,
backlog is 5/5 and delegation is 5/6. The local
`results/chat-feature-recheck/verification.md` records the follow-up evidence;
its standard dashboard is explicitly scoped to the latest campaign.

## Retired TestOps plans

The one-case **Chat feature evals** plan and three-case
**Chat completion pilot — OpenCode 1017** plan are retired. Their scenarios are
included in the [full catalog](#full-catalog-in-testops). Use that plan or select
cases from it; do not recreate the smoke or pilot plans.

The former `chat-feature-testops.yml` and `chat-completion-testops.yml` workflows
are removed. Their bootstrap functions reject registration before any API call
or mutation marker. Shared transport, evidence, export and verification helpers
remain for the full-catalog workflow and retained historical evidence. Retiring a
plan does not delete its cases, results, launches or private evidence.

Retained launch helpers encode TestOps name filters as Base64 of UTF-8 JSON in
`search`. Plain name text returns HTTP 400. Their nonce and once-only guards
remain unchanged; this transport contract does not restore the retired plans.

## Full catalog in TestOps

The [Chat catalog TestOps workflow](../../.github/workflows/chat-catalog-testops.yml)
registers all 244 scenarios from the 35 YAML areas in a separate
**Chat feature catalog — OpenCode 1017 (candidate)** plan. Its source-derived
manifest is `chat-full-catalog-testops-manifest.json`. This is the active chat
plan. The former backlog and three-case pilot plans are retired; their cases
and measured history are preserved.
Legacy aliases reuse existing TestOps case identities without renaming them.

The catalog contains 236 Agent Chat routes, five browser boundaries, one external
assistant route and two Slack routes. An execution mapping is not a passing
measurement. Five implementations declare incomplete coverage. Six routes do not
produce the generic final PNG required by the unchanged evidence owner. Eighteen
declare additional credentials and 37 declare external inputs. These groups
overlap. Exact requirements and limitations appear in each case's preconditions.
A declared credential does not establish whether its runtime reference exists.

This lane runs the app and fixtures from candidate
`3b66c3c144360ddf32714a0742fd774b8ceafb16`. Its app and domain definitions are
unchanged from `de0941835cc8f0d01c982574ee258e110babdbeb`; the successor adds only
finite TestOps host admission. Trusted selection, evidence transfer and publishing
use the workflow's immutable master revision. Each result records both revisions.
A pass qualifies that candidate measurement, not the current master app. Other
lanes sharing a case retain their own sources. This integration does not merge
the broad catalog branch or its core fixes, reset earlier campaign ordinals, or
change the previous 196-of-244 acceptance gate.

Native execution uses OpenCode and
`openrouter/deepseek/deepseek-v4.1-flash-1017` on the existing AWS fleet. Each case
keeps its original query, oracle, run counts, clocks, budgets and zero automatic
retries. Browser boundaries and the external assistant retain their original
surfaces and may have zero native work runs. The external companion keeps its own
declared provider requirement. Setup inference and unpriced usage are not free.

Initial setup uses the existing reporting environment:

1. Dispatch reviewed master with `operation=bootstrap`. It reconciles the exact
   244 cases and the dedicated plan, then registers and binds its own GitHub job.
   Missing cases use one marked POST each. Existing cases retain their identities
   and history. Alias conflicts, foreign selections and uncertain writes stop
   setup. It makes no model call or synthetic test result.
2. Read the registration receipt. Store its compact `binding` JSON as
   `CHAT_FULL_CATALOG_TESTOPS_BINDING`. It contains observed plan, job, integration
   and case IDs plus registered full names, and fits one GitHub environment
   variable. The job must retain its observed single `Branch/defaultValue`
   definition for `refs/heads/master`.
3. Use normal TestOps **Run** for the full plan or a selected subset. The service's
   actual expected case list controls execution. Do not manually dispatch another
   evaluation after an uncertain request. Initial route verification uses a small
   selection and does not qualify all 244 cases.

Each worker executes one case. Selections of up to three cases run serially.
Larger selections allow eight independent cases and one external-input case at
once. External-input cases remain serial because they can share QA resources.
A full run can take hours. Its elapsed time depends on setup and fleet capacity;
the declared case clocks are not a completion-time guarantee. Each worker and
report reader has a singleton private-evidence approval and exact-key AWS
session; the existing eight-cell
authority limit is unchanged. Reports wait for all selected workers. A
credential-free job then validates and merges their metadata projections. The
protected reporter uploads original outcomes and verifies every selected result,
including paginated selections over 100 cases. Failed originals and failed
cleanup remain failed beside passed results. Missing originals cannot become
fabricated measurements or a full-selection pass.

Raw evidence and final PNGs remain in protected storage. Public GitHub artifacts
and TestOps attachments contain only allowlisted provenance, checks, accounting
and private-evidence receipts. Raw conversations, screenshots, provider sessions
and credentials do not enter the public artifact path. Additional credentials
reach only cases that declare them. External inputs use the existing selected-case
private-input owner, disposable-resource checks and oracle commitments.
Unconfigured inputs remain setup blockers.