Files
PaperClipAI/tests/runner-e2e/catalog.test.ts
T
DottaandPaperclip 3447609d22 fix(runner): stream and page large API responses within capture budgets (#14301)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - Agents use governed API tools to inspect task evidence.
> - Large API results become saved assets with short previews.
> - Reading an asset through the same tool used to create another asset,
so the agent could not reach the rest of the evidence.
> - The 10 MiB response cap also blocked useful large results. Removing
all bounds allowed excessive disk use.
> - This pull request streams responses up to 1 GiB and makes saved text
readable in bounded pages. It adds durable run budgets and capture
admission limits.
> - Agents can inspect complete evidence while tool results, memory use,
and capture work stay bounded.

## Linked Issues or Issue Description

**What happened?**
A large response became an asset. Reading that asset returned another
asset and the same preview. Responses above 10 MiB failed before the
agent could read any page.

**Expected behavior**
The agent can fetch a large response and read its saved text to EOF.
Each page stays bounded. New snapshots have a generous finite limit and
a durable run budget. Existing larger assets remain readable through
byte ranges.

**Steps to reproduce**
1. Call a GET operation that returns more than 10 MiB of text or JSON.
2. Before the fix, the tool returns `api_transport_failure`.
3. With this change, responses up to 1 GiB become streamed snapshots
with artifact references.
4. Read `GET /api/assets/{assetId}/content` with `responseText:
{offsetBytes: 0, limitBytes: 8192}`. Follow `nextOffsetBytes` until
null.

Related work: #14186 added the API fallback tools. #14218 bounded API
discovery.

## What Changed

- Add authenticated UTF-8 text windows to `call_api`, with byte offsets
and total size. Keep each page at or below 24 KiB.
- Stream new responses above 24 KiB through private temporary files into
company-owned assets. Bound each capture to 1 GiB of decoded bytes.
Reject oversized declared lengths before reading and count streamed
bytes before writing.
- Reserve capture budget in the run record before spilling. Allow 4 GiB
per run. Settle successful captures to their actual size. Failed or
interrupted captures retain their full 1 GiB reservation. Run restarts
do not reset the budget.
- Enforce a 20 GiB company snapshot quota with database reservations.
Count legacy snapshots and unfinished storage work across runs and
processes. Asset deletion frees quota.
- Limit large captures to two per company and four per server process.
Hold slots through storage upload and temporary-file cleanup. Use a
10-minute download deadline and 30-second connection/idle-read timeouts.
- Return explicit size, budget, busy, and timeout errors. Preserve
unknown outcomes for mutations whose response cannot be captured.
- Read saved assets through authenticated storage ranges, with at most
two extra bytes for UTF-8 and EOF handling. Unpaged reads return the
existing asset and digest with a bounded preview. Reads create no copies
and do not consume capture budget.
- Keep existing assets above 1 GiB readable in pages. Use safe integer
offsets and PostgreSQL `bigint` asset sizes.
- Stream large S3 uploads through ordered multipart requests. Abort
failed uploads and remove partial local files.
- Revalidate run authority during downloads. Keep company authorization,
GET-only text paging, redirect denial, and mutation replay receipts.
- Document the separate 10 MiB upload limits. This PR does not raise
memory-buffered attachment ingestion limits. Future large video uploads
need streamed ingestion and storage quotas.

## Verification

- Full workspace `pnpm -r typecheck` and `pnpm build` pass after
rebasing on master.
- Focused API and response tests: 1,761 pass. Cover declared and chunked
oversize responses, incorrect Content-Length, exact-limit success,
active-stream deadline, cancellation, cleanup, concurrency admission,
and mutation outcome handling.
- Real HTTP integration: 28 tests pass, including runnerd → PRP →
authority → HTTP, a 12 MiB snapshot, final-page/EOF reads, cross-company
denial, a persisted 3 GiB sparse asset, and large mutation receipt
replay.
- The HTTP suite verifies durable run-budget accounting, simultaneous
runs competing for company quota, legacy snapshot accounting, deletion
refunds, failed-storage reservations, cleaned-failure refunds,
metadata-rollback cleanup refunds, preservation after a lost commit
acknowledgement, and small/saved reads after capture-budget exhaustion.
- A standalone proof streams exactly 1 GiB through the production
capture helper, verifies the final bytes, and removes its temporary
file. It uses repeated 256 KiB chunks and records a peak process RSS of
191 MiB.
- Earlier storage verification covers exact S3 multipart boundaries,
cleanup/abort failures, and a 17 MiB transfer through the real AWS SDK
to a local HTTP S3 endpoint. No cloud S3 qualification was run for this
follow-up.
- The local full test run was interrupted for the company-quota changes.
A later targeted run hit exhausted macOS shared-memory slots before
tests started; two unattached PostgreSQL segments with dead owners were
reclaimed before retrying. All 55 current-head checks pass at
`aebb80ceeeee77d5a56b67bfffd835f2f846878c`, including the full CI test
suite, typecheck, build, browser suites, security scan, and Greptile
(5/5). There are no unresolved review threads. The combined rebased test
catalog also passes (48 tests).
- Earlier paging acceptance passed Daytona and separate staging at
`7739879e9`. Those runs predate the streaming and budget changes.

## Risks

- The 1 GiB response cap and 10-minute active-download deadline are
intentional product limits. Larger live results must use endpoint
pagination or a direct file workflow. Existing larger assets remain
readable through bounded ranges.
- A durable 20 GiB company snapshot quota counts stored runner-api
assets and active/orphan reservations across runs and processes. The
operator can set PAPERCLIP_RUNNER_API_COMPANY_CAPTURE_MAX_BYTES to a
finite value of at least 1 GiB. Deleting snapshots frees capacity;
possible orphan storage must be reconciled before releasing its
reservation.
- A failed capture uses its full reservation. A new large capture needs
a full 1 GiB available, even if it later completes at a smaller size.
Small reads and existing asset pages remain available.
- Concurrency limits apply per server process. The run byte budget is
shared through the database.
- The `integer` to `bigint` migration rewrites asset metadata and takes
an exclusive table lock. File bytes stay in storage.
- A live endpoint is fetched once before returning its snapshot.
Continue reading the saved artifact for stable pages. Mutations may
commit before any size or transport error; inspect state before
retrying.
- Attachment uploads and native file handoffs still default to 10 MiB.
Raising buffered ingestion paths to GiB sizes is separate work.

## Model Used

OpenAI Codex, based on GPT-6, with code execution and repository tools.
The runtime does not expose an exact serving model variant or
context-window size. The earlier paging work also used browser testing
and 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

---------

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-09-28 10:36:32 -05:00

632 lines
24 KiB
TypeScript

import { describe, expect, it } from "vitest";
import { normalizePrpResultSignals } from "../../packages/paperclip-runner/src/protocol/result-normalization.js";
import {
connectionReviewSuite,
runnerEnvironments,
runnerMatrix,
openRouterBreadthExcludedExecutionIds,
openRouterBreadthExcludedModelIds,
openRouterBreadthProfiles,
openRouterBreadthTasks,
localIntegrityTasks,
runnerProfiles,
runnerSuites,
runnerTasks,
daytonaWarmContinuityTask,
daytonaWarmEnvironment,
isImmutableDaytonaImage,
suiteDefinitionHash,
validateRunnerCatalog,
} from "./catalog.js";
import {
buildMatrixJobs,
parseRunnerSelectors,
RunnerSelectorError,
selectRunnerExecutions,
} from "./selectors.js";
describe("runner E2E catalog", () => {
it("supplies an actionable human review in native warm completion examples", () => {
const prompts = [daytonaWarmContinuityTask.buildPrompt("nonce"), ...daytonaWarmContinuityTask.buildFollowupMessages!("nonce")];
for (const [index, prompt] of prompts.entries()) {
const match = prompt.match(/attentionRequests:(\[.*?\]),evidence:/);
expect(match).not.toBeNull();
const signals = normalizePrpResultSignals({ attentionRequests: JSON.parse(match![1]) });
expect(signals.ignoredAttentionRequests).toEqual([]);
expect(signals.actionableAttentionRequests).toHaveLength(index === 2 ? 0 : 1);
if (index < 2) expect(signals.actionableAttentionRequests[0]).toMatchObject({kind:"review", ownerClass:"human"});
expect(prompt).not.toContain("call request_human_input");
}
});
it("defines sixteen local connection-review journeys without expanding the default matrix", () => {
expect(connectionReviewSuite.expectedMatrixSize).toBe(16);
expect(new Set(connectionReviewSuite.profiles.map(profile => profile.id))).toEqual(new Set(["runner-codex", "runner-acpx-claude", "legacy-codex", "legacy-claude"]));
expect(connectionReviewSuite.environments.map(environment => environment.id)).toEqual(["local"]);
expect(connectionReviewSuite.tasks.map(task => task.toolReviewDecision)).toEqual(["approve", "decline", "always", "restart"]);
expect(connectionReviewSuite.tasks.every(task => task.flow === "governed_tool_review")).toBe(true);
});
it("tests native chat plans, tasks, and reassignment with production permission defaults", () => {
const suite = runnerSuites.find(suite => suite.id === "agent-chat")!;
for (const id of ["runner-codex", "runner-acpx-claude"]) {
const profile = suite.profiles.find(profile => profile.id === id)!;
const payload = profile.buildAgent({
executionId: "default-permissions", workspacePath: "/workspace", environmentId: "env-1", environmentFixtureId: "local",
secretRefs: {
[profile.credential]: { type: "secret_ref", secretId: "22222222-2222-4222-8222-222222222222", version: "latest" },
},
});
expect(payload.adapterConfig).not.toHaveProperty("acpxPermissionMode");
expect(payload.adapterConfig).not.toHaveProperty("codexPermissionMode");
expect(suite.tasks.map(task => task.id)).toEqual(expect.arrayContaining(["plan-handoff", "reassign-task", "create-backlog"]));
}
});
it("validates the core, local-integrity, breadth, and warm suites", () => {
expect(runnerProfiles).toHaveLength(7);
expect(openRouterBreadthProfiles).toHaveLength(4);
expect(runnerEnvironments).toHaveLength(2);
expect(runnerTasks).toHaveLength(3);
expect(localIntegrityTasks).toHaveLength(2);
expect(openRouterBreadthTasks).toHaveLength(3);
expect(runnerSuites.map((suite) => suite.expectedMatrixSize)).toEqual([
2, 8, 46, 23, 47, 52, 28, 18, 6, 6, 4, 42, 14, 10, 2,
]);
expect(validateRunnerCatalog()).toHaveLength(308);
expect(new Set(runnerMatrix.map((entry) => entry.id)).size).toBe(308);
expect(
runnerMatrix.filter((entry) => entry.suite.id === "core-compatibility"),
).toHaveLength(42);
expect(
runnerMatrix.filter(
(entry) => entry.suite.id === "local-session-integrity",
),
).toHaveLength(14);
expect(
runnerMatrix.filter(
(entry) => entry.suite.id === "openrouter-model-breadth",
),
).toHaveLength(10);
expect(
runnerMatrix.filter(
(entry) => entry.suite.id === "daytona-warm-continuity",
),
).toHaveLength(2);
expect(
runnerMatrix.filter(entry => !entry.suite.manualOnly).reduce(
(total, execution) => total + execution.task.expectedRunCount,
0,
),
).toBe(371);
expect(
runnerTasks.find((task) => task.id === "plan-revise-accept")
?.attemptTimeoutMs,
).toEqual({ local: 8 * 60_000, daytona: 12 * 60_000 });
});
it("defines the warm Daytona continuity fixture as exactly two Codex cells", () => {
expect(daytonaWarmEnvironment).toMatchObject({
id: "daytona",
configurationKey: "warm-reuse-v1",
groups: ["daytona", "warm"],
});
expect(
daytonaWarmEnvironment.buildEnvironment({
secretRefs: {
DAYTONA_API_KEY: {
type: "secret_ref",
secretId: "22222222-2222-4222-8222-222222222222",
version: "latest",
},
},
daytonaImage: `runner@sha256:${"a".repeat(64)}`,
executionId: "warm",
}),
).toMatchObject({
config: {
reuseLease: true,
runnerLifecycleMode: "warm",
autoStopInterval: 5,
autoArchiveInterval: 15,
autoDeleteInterval: 60,
},
});
expect(daytonaWarmContinuityTask).toMatchObject({
flow: "warm_three_turn",
expectedRunCount: 3,
turnTimeoutMs: 600_000,
});
expect(
daytonaWarmContinuityTask.buildFollowupMessages?.("nonce"),
).toHaveLength(2);
const initialPrompt = daytonaWarmContinuityTask.buildPrompt("nonce");
const followups =
daytonaWarmContinuityTask.buildFollowupMessages?.("nonce") ?? [];
expect(initialPrompt).toContain('"kind":"request_confirmation"');
expect(initialPrompt).toContain(
'"reviewInteractionId":"<returned interaction id>"',
);
expect(initialPrompt).toContain('"continuationPolicy":"wake_assignee"');
expect(initialPrompt).toContain(
'"prompt":"Is this warm continuity task ready to complete after turn 1?"',
);
expect(initialPrompt).not.toContain("Continue to warm continuity turn 2?");
expect(followups[0]).toContain('"kind":"request_confirmation"');
expect(followups[0]).toContain(
'"prompt":"Is this warm continuity task ready to complete after turn 2?"',
);
expect(followups[0]).toContain(
'"reviewInteractionId":"<returned interaction id>"',
);
expect(followups[1]).toContain(
'{"status":"done","comment":"PAPERCLIP_E2E_WARM_T3_nonce"}',
);
expect(followups[1]).not.toContain('"kind":"request_confirmation"');
const cells = runnerMatrix.filter(
(entry) => entry.suite.id === "daytona-warm-continuity",
);
expect(cells.map((entry) => entry.profile.id)).toEqual([
"legacy-codex",
"runner-codex",
]);
expect(cells.every((entry) => entry.environment.id === "daytona")).toBe(
true,
);
const suite = runnerSuites.find(
(candidate) => candidate.id === "daytona-warm-continuity",
)!;
expect(
suiteDefinitionHash({
...suite,
environments: [
{ ...daytonaWarmEnvironment, configurationKey: "changed" },
],
}),
).not.toBe(suiteDefinitionHash(suite));
});
it("derives the qualified local native OpenCode profiles from the ranked snapshot", () => {
expect(openRouterBreadthExcludedModelIds).toEqual(["xiaomi/mimo-v2.5"]);
expect(openRouterBreadthExcludedExecutionIds).toEqual([
"openrouter-model-breadth.openrouter-deepseek-deepseek-v4-flash-0731.local.plan-approve-complete",
"openrouter-model-breadth.openrouter-tencent-hy3.local.plan-approve-complete",
]);
expect(
openRouterBreadthExcludedExecutionIds.every(
(excludedExecutionId) =>
!runnerMatrix.some(
(execution) => execution.id === excludedExecutionId,
),
),
).toBe(true);
expect(
runnerMatrix
.filter(
(execution) => execution.profile.id === "openrouter-tencent-hy3",
)
.map((execution) => execution.task.id),
).toEqual(["hello-complete", "question-resume-complete"]);
expect(
openRouterBreadthProfiles.map((profile) => profile.ranking?.rank),
).toEqual([1, 3, 4, 5]);
expect(
openRouterBreadthProfiles.every(
(profile) =>
profile.adapterType === "paperclip_runner" &&
profile.provider === "opencode" &&
profile.model.startsWith("openrouter/") &&
profile.supportedEnvironments.join(",") === "local" &&
profile.modelQualification.source === "openrouter_rankings_snapshot",
),
).toBe(true);
});
it("defines deterministic two-run question and plan state machines", () => {
const localQuestion = localIntegrityTasks.find(
(task) => task.id === "structured-question-resume",
);
const restartQuestion = localIntegrityTasks.find(
(task) => task.id === "structured-question-restart-resume",
);
const question = openRouterBreadthTasks.find(
(task) => task.id === "question-resume-complete",
);
const plan = openRouterBreadthTasks.find(
(task) => task.id === "plan-approve-complete",
);
expect(question).toMatchObject({
flow: "question_resume_completion",
expectedRunCount: 2,
});
expect(question?.buildQuestionAnswer?.("nonce")).toMatchObject({
optionLabel: "Cobalt",
});
expect(localQuestion).toMatchObject({
flow: "question_resume_completion",
expectedRunCount: 2,
});
expect(localQuestion?.buildPrompt("nonce")).toContain("ask_user_questions");
expect(localQuestion?.buildPrompt("nonce")).toContain(
"do not spell, quote, repeat, announce, or include PAPERCLIP_E2E_QUESTION_DONE_nonce",
);
expect(localQuestion?.buildPrompt("nonce")).toContain(
"refer to it only as “the terminal marker.”",
);
expect(localQuestion?.buildPrompt("nonce")).toContain(
'API_ORIGIN="${PAPERCLIP_API_URL%/}"; API_ORIGIN="${API_ORIGIN%/api}"',
);
expect(localQuestion?.buildPrompt("nonce")).toContain(
'"idempotencyKey":"question-nonce"',
);
expect(localQuestion?.buildPrompt("nonce")).toContain(
'PATCH $API_ORIGIN/api/issues/$PAPERCLIP_TASK_ID with exactly {"status":"in_review"}',
);
expect(localQuestion?.buildPrompt("nonce")).toContain(
"Do not include `reviewInteractionId`",
);
expect(localQuestion?.buildPrompt("nonce")).toContain(
"retry only that PATCH and never POST the interaction again",
);
expect(localQuestion?.buildPrompt("nonce")).toContain(
"make exactly one completion write",
);
const legacyQuestionExitInstruction =
"In a legacy runner, after those two writes succeed, end the current response and heartbeat immediately. Do not wait, sleep, poll, or fetch the interaction; `wake_assignee` will start a new heartbeat after the user answers.";
expect(localQuestion?.buildPrompt("nonce")).toContain(
legacyQuestionExitInstruction,
);
expect(restartQuestion).toMatchObject({
flow: "question_resume_completion",
expectedRunCount: 2,
restartServerBeforeQuestionAnswer: true,
});
expect(restartQuestion?.buildPrompt("nonce")).toContain(
legacyQuestionExitInstruction,
);
expect(plan).toMatchObject({
flow: "plan_approval_completion",
expectedRunCount: 2,
});
expect(plan?.buildPrompt("nonce")).toContain("exactly two numbered steps");
});
it("emits native terminal text after the terminal tool succeeds", () => {
const message = runnerTasks.find((task) => task.id === "message-marker");
const ask = runnerTasks.find((task) => task.id === "ask-question");
const plan = runnerTasks.find((task) => task.id === "plan-revise-accept");
const question = localIntegrityTasks.find(
(task) => task.id === "structured-question-resume",
);
const breadthTasks = openRouterBreadthTasks.map((task) =>
task.buildPrompt("nonce"),
);
for (const prompt of [
message?.buildPrompt("nonce"),
ask?.buildPrompt("nonce"),
plan?.buildPrompt("nonce"),
question?.buildPrompt("nonce"),
...breadthTasks,
]) {
const terminalTextInstruction = prompt?.match(/then emit (?:exactly|only)/)?.[0];
expect(terminalTextInstruction).toBeDefined();
expect(prompt!.indexOf("paperclip_finish exactly once")).toBeLessThan(
prompt!.indexOf(terminalTextInstruction!),
);
expect(prompt).toContain("Wait for that tool call to succeed");
}
for (const taskId of [
"question-resume-complete",
"plan-approve-complete",
]) {
const prompt = openRouterBreadthTasks
.find((task) => task.id === taskId)
?.buildPrompt("nonce");
expect(prompt).toContain(
"do not spell, quote, repeat, announce, or include",
);
expect(prompt).toContain("refer to it only as “the terminal marker.”");
}
const breadthHello = openRouterBreadthTasks
.find((task) => task.id === "hello-complete")
?.buildPrompt("nonce");
expect(breadthHello).toContain(
"Your first response action must be the paperclip_finish tool call",
);
expect(breadthHello).toContain(
"Do not emit any assistant text, acknowledgement, or preamble before calling it",
);
const nativeAsk = ask?.buildPrompt("nonce");
expect(nativeAsk).toContain("paperclip_finish must be your only tool call");
expect(nativeAsk).toContain(
"never call report_progress or any other tool before or after it",
);
});
it("uses only declared secret references in generated payloads", () => {
expect(
runnerMatrix.every((entry) =>
entry.requiredCredentials.includes(entry.profile.credential),
),
).toBe(true);
expect(
runnerMatrix
.filter((entry) => entry.environment.id === "daytona")
.every((entry) =>
entry.requiredCredentials.includes("DAYTONA_API_KEY"),
),
).toBe(true);
});
it("pins legacy Codex and Claude to their classic CLI engines", () => {
for (const profileId of ["legacy-codex", "legacy-claude"]) {
const execution = runnerMatrix.find(
(candidate) =>
candidate.profile.id === profileId &&
candidate.environment.id === "local",
);
expect(execution).toBeDefined();
expect(
execution!.profile.buildAgent({
environmentId: "11111111-1111-4111-8111-111111111111",
environmentFixtureId: "local",
workspacePath: "/tmp/runner-e2e-workspace",
secretRefs: {
[execution!.profile.credential]: {
type: "secret_ref",
secretId: "22222222-2222-4222-8222-222222222222",
version: "latest",
},
},
executionId: execution!.id,
}),
).toMatchObject({
adapterConfig: {
engine: "cli",
...(profileId === "legacy-codex"
? { extraArgs: ["-c", "features.shell_snapshot=false"] }
: {}),
},
});
}
});
it("binds native Codex automation auth to the encrypted OpenAI secret", () => {
const execution = runnerMatrix.find(
(candidate) =>
candidate.id === "core-compatibility.runner-codex.local.message-marker",
);
expect(execution).toBeDefined();
const secretRef = {
type: "secret_ref" as const,
secretId: "22222222-2222-4222-8222-222222222222",
version: "latest" as const,
};
const agent = execution!.profile.buildAgent({
environmentId: "11111111-1111-4111-8111-111111111111",
environmentFixtureId: "local",
workspacePath: "/tmp/runner-e2e-workspace",
secretRefs: { OPENAI_API_KEY: secretRef },
executionId: execution!.id,
});
expect(agent.adapterConfig).toMatchObject({
env: {
OPENAI_API_KEY: secretRef,
CODEX_API_KEY: secretRef,
},
});
});
it("gives legacy planning agents a direct bounded API recipe", () => {
const task = runnerTasks.find(
(candidate) => candidate.id === "plan-revise-accept",
);
const execution = runnerMatrix.find(
(candidate) =>
candidate.profile.id === "legacy-claude" &&
candidate.environment.id === "local" &&
candidate.task.id === "plan-revise-accept",
);
expect(task).toBeDefined();
expect(execution).toBeDefined();
const agent = execution!.profile.buildAgent({
environmentId: "11111111-1111-4111-8111-111111111111",
environmentFixtureId: "local",
workspacePath: "/tmp/runner-e2e-workspace",
secretRefs: {
ANTHROPIC_API_KEY: {
type: "secret_ref",
secretId: "22222222-2222-4222-8222-222222222222",
version: "latest",
},
},
executionId: execution!.id,
});
expect(agent.adapterConfig).toMatchObject({ maxTurnsPerRun: 24 });
expect(agent.instructionsBundle).toMatchObject({
files: { "AGENTS.md": expect.stringContaining("/interactions") },
});
expect(task!.buildPrompt("nonce")).toContain("request_confirmation");
expect(task!.buildPrompt("nonce")).toContain("baseRevisionId");
expect(task!.buildPrompt("nonce")).toContain(
"do not spell, quote, repeat, announce, or include PAPERCLIP_E2E_PLAN_DONE_nonce",
);
expect(task!.buildPrompt("nonce")).toContain(
'summary:"PAPERCLIP_E2E_PLAN_DONE_nonce"',
);
expect(task!.buildPrompt("nonce")).toContain("first call get_task_context");
expect(task!.buildPrompt("nonce")).toContain(
"identifies the exact revised Plan revision used as the confirmation target as accepted",
);
expect(task!.buildPrompt("nonce")).toContain(
"After that verification succeeds, your immediate next action must be the paperclip_finish tool call",
);
expect(task!.buildPrompt("nonce")).not.toContain(
"trust that inline acceptance",
);
expect(task!.buildPrompt("nonce")).toContain(
"those two tool calls form one indivisible response sequence",
);
expect(task!.buildPrompt("nonce")).toContain(
"Do not emit assistant text, end the response or heartbeat, or stop after write_document alone",
);
expect(task!.buildPrompt("nonce")).toContain(
"one atomic issue PATCH with status `done` and that exact comment",
);
const revisionRequest = task!.buildRevisionRequest?.("nonce");
expect(revisionRequest).toContain("baseRevisionId");
expect(revisionRequest).toContain(
"request_human_input must be your immediate next action",
);
});
it("requires one atomic legacy Ask completion write", () => {
const task = runnerTasks.find(
(candidate) => candidate.id === "ask-question",
);
expect(task).toBeDefined();
const prompt = task!.buildPrompt("nonce");
expect(prompt).toContain(
"make exactly one public-API write containing the marker",
);
expect(prompt).toContain(
'PATCH /api/issues/$PAPERCLIP_TASK_ID with {"status":"done","comment":"E2E_ASK_12_nonce"}',
);
expect(prompt).toContain("Do not POST to /comments");
expect(prompt).toContain("do not PATCH the status separately");
});
it("accepts only complete immutable Daytona digests", () => {
expect(
isImmutableDaytonaImage(
`ghcr.io/paperclipai/paperclip-daytona-runner@sha256:${"a".repeat(64)}`,
),
).toBe(true);
expect(
isImmutableDaytonaImage(
"ghcr.io/paperclipai/paperclip-daytona-runner@sha256:REPLACE_ME",
),
).toBe(false);
expect(
isImmutableDaytonaImage(
"ghcr.io/paperclipai/paperclip-daytona-runner:e2e-latest",
),
).toBe(false);
});
});
describe("runner E2E selectors", () => {
it("requires an explicit billable selector", () => {
expect(() => parseRunnerSelectors([])).toThrow(RunnerSelectorError);
});
it("selects dimensions with OR within a dimension and AND across dimensions", () => {
const options = parseRunnerSelectors([
"--profile",
"legacy-codex",
"--profile",
"runner-codex",
"--environment",
"local",
]);
expect(selectRunnerExecutions(options).map((entry) => entry.id)).toEqual([
...runnerMatrix.filter(entry => entry.suite.id === "continuation" && ["legacy-codex", "runner-codex"].includes(entry.profile.id)).map(entry => entry.id),
...runnerMatrix.filter(entry => entry.suite.id === "first-task" && ["legacy-codex", "runner-codex"].includes(entry.profile.id)).map(entry => entry.id),
...runnerMatrix.filter(entry => entry.suite.id === "agent-chat" && ["legacy-codex", "runner-codex"].includes(entry.profile.id)).map(entry => entry.id),
"core-compatibility.legacy-codex.local.message-marker",
"core-compatibility.legacy-codex.local.plan-revise-accept",
"core-compatibility.legacy-codex.local.ask-question",
"core-compatibility.runner-codex.local.message-marker",
"core-compatibility.runner-codex.local.plan-revise-accept",
"core-compatibility.runner-codex.local.ask-question",
"local-session-integrity.legacy-codex.local.structured-question-resume",
"local-session-integrity.legacy-codex.local.structured-question-restart-resume",
"local-session-integrity.runner-codex.local.structured-question-resume",
"local-session-integrity.runner-codex.local.structured-question-restart-resume",
]);
});
it("selects a suite without exploding its environment matrix", () => {
const selected = selectRunnerExecutions(
parseRunnerSelectors(["--suite", "openrouter-model-breadth"]),
);
expect(selected).toHaveLength(10);
expect(
selected.every(
(entry) =>
entry.suite.id === "openrouter-model-breadth" &&
entry.environment.id === "local",
),
).toBe(true);
});
it("combines repeated groups with AND semantics", () => {
const options = parseRunnerSelectors([
"--group",
"native",
"--group",
"daytona",
]);
const selected = selectRunnerExecutions(options);
expect(selected).toHaveLength(13);
expect(
selected.every(
(entry) =>
entry.profile.generation === "native" &&
entry.environment.id === "daytona",
),
).toBe(true);
});
it("rejects unknown groups", () => {
const options = parseRunnerSelectors(["--group", "codex"]);
expect(() => selectRunnerExecutions(options)).toThrow("Unknown group");
});
it("emits one independently schedulable job per scenario", () => {
const jobs = buildMatrixJobs(
selectRunnerExecutions(parseRunnerSelectors(["--all"])),
);
expect(jobs).toHaveLength(171);
expect(jobs.filter((job) => job.needsDaytona)).toHaveLength(23);
expect(jobs.filter((job) => !job.needsDaytona)).toHaveLength(148);
expect(new Set(jobs.map((job) => job.executionId)).size).toBe(171);
expect(
jobs.find(
(job) =>
job.executionId ===
"core-compatibility.runner-acpx-claude.local.plan-revise-accept",
)?.timeoutMinutes,
).toBe(25);
expect(
jobs.find(
(job) =>
job.executionId ===
"local-session-integrity.runner-acpx-codex.local.structured-question-restart-resume",
)?.timeoutMinutes,
).toBe(32);
expect(
jobs.every((job) =>
runnerMatrix.some(
(execution) =>
execution.id === job.executionId &&
execution.profile.credential === job.credentialName,
),
),
).toBe(true);
});
it("validates bounded local parallelism", () => {
expect(
parseRunnerSelectors(["--all", "--max-parallel", "8"]).maxParallel,
).toBe(8);
expect(() =>
parseRunnerSelectors(["--all", "--max-parallel", "0"]),
).toThrow("positive integer");
});
});