Files
PaperClipAI/tests/runner-e2e/billing.ts
T
DottaandPaperclip 3bd709df8b Operationalize Product E2E accounting, tracing, and scheduling (#17009)
## Thinking Path

> - Paperclip manages agents and the work they perform.
> - Product E2E tests exercise real agents, tools, setup and cleanup.
> - Repeated runs need retained costs and traces, including failed
attempts.
> - A passing retry must not hide earlier spending or feedback.
> - Recurring work also needs admission limits, private reports and
failure detection.
> - This change supplies those controls while keeping paid activation
behind existing gates.

## Linked Issues or Issue Description

Refs #16996 and #17158. This is the consolidated landing of the reviewed
eval operations stack: #17019, #17024, #17025, #17027, #17030, #17033,
#17035, #17038, #17043, #17044, #17048, #17050, #17051, #17092, #17096,
#17100, #17107, #17109, #17112, #17115, #17117, #17121, #17123, #17127,
#17130, #17133, #17134, #17137, #17140, #17143, #17154. The repository
permits squash merges only. A local rehearsal showed that squashing each
slice into master causes repeated conflicts in dependent slices. This PR
preserves their commits and lands their combined implementation in one
reviewed integration. Superseded slices will close after this merge.

## What Changed

- Retain every attempt's cost receipt, including setup, failures,
interruptions and retries. Separate reported amounts, estimates, missing
costs and reserved capacity in reports and dashboards.
- Add bounded request admission, exact model pricecards, gateway error
accounting, cache policy and reconciliation evidence. Refuse unsupported
routes and requests that cannot fit the allowance.
- Integrate Braintrust gateway traces and OTLP correlation, with secret
filtering and experiment imports. Record phase timing, including setup,
feedback capture and cleanup.
- Collect complaint and suggestion evidence after each attempt,
including recovery after failures. Retain explicit review dispositions
independently from the product grade.
- Add gated daily and weekly selections, measured forecasts,
setup/readiness checks, wall-time limits and retained monitor
notifications. Include declared non-model overhead in admission while
reporting the existing subscription separately.
- Keep recurring history private, bound uploads and retention, and use
isolated archive environments. Keep public publication an explicit
operation. Report and publication jobs install only the committed
lockfile, with scripts disabled and isolated stores; stale pins fail
closed.
- Integrate current master, preserve its Product E2E journey billing and
privacy checks, and test that shared setup receipts do not double-count
estimated agent usage. Preserve upstream fixture repairs.

## Verification

- Complete integration baseline
`0649a5ce7544ab20825c2183d2f421157db49f24` includes master
`a3e1d915a7110a4e115b46396a3f79e6dfb4d05e` and every original stack head
as ancestors.
- On that integration baseline, `pnpm test:e2e:runner:unit`: 4,012
Vitest tests passed, two skipped, across 193 files; all 137 Node
source-contract tests passed.
- Focused billing and Product E2E journey contract checks: 24 tests
passed. They cover estimates, unknown receipts, single-owner setup
costs, browser-only execution and private publication guards.
- Monitor and workflow wiring: all 96 Node tests passed. `node
scripts/check-token-gates.mjs`: all gates clean.
- `pnpm test:e2e:runner:typecheck` passes after the standard Runner
TypeScript build refreshed local declarations. The first attempt
rejected the new master `runner_prepared_launch` union member because
this checkout retained an older generated declaration; the source union
already contained that member.
- Current head `492b0708a1c531a023d9ac10f0f3dc6383cc1754` removes
dependency re-resolution from archive-authorized reporting jobs after
the security scan flagged it. All 15 workflow-security tests pass after
updating the old two-install assertion.
- Hosted [CI run
39965460180](https://github.com/paperclipai/paperclip/actions/runs/39965460180)
passes on the current repaired head, including typecheck, build, general
tests, Runner checks, browser shards and canary dry run. Greptile is 5/5
on this exact head with no unresolved threads. The security scan passes
after the fixed lockfile-resolution thread was resolved.
- Paperclip Review returned a terminal neutral check but an incomplete
0-file assessment on the repaired head: its platform blocked both diff
responses as prompt-injection content. This is not a successful code
review. No bypass or fabricated pass was attempted; current-head
Greptile, security and hosted CI are independent gates.
- No paid test, reservation release or recurring-run activation
accompanies this landing. Live route qualification and invoice
reconciliation remain separate evidence.

<details>
<summary>Retained earlier validation failures</summary>

Earlier broad local runs had two 15-second test timeouts (CLI poll
cadence and Retry validation), one embedded-database setup timeout, and
later PostgreSQL semaphore exhaustion. The exact timed-out tests passed
separately without larger timeouts; the broad-run causes were not
established. Those local failures remain distinct from subsequent hosted
CI results. The independent #17158 fix records its Muse fixture
collision, its UUID correction and hosted verification. Local Muse
execution was also blocked by macOS embedded-PostgreSQL startup. No
historical failure is treated as a successful paid qualification.

</details>

## Risks

- Admission is a local control, not a provider invoice cap. Missing
provider receipts or resource charges retain unknown amounts and holds;
estimates do not become billed dollars.
- The bounded path admits only documented local suites and provider
routes. Ordinary legacy or separate Runner protocol campaigns have
different controls. Merging this code does not qualify additional
routes.
- Recurrence still needs the existing enable gates and current
qualification/allowance evidence. Archive permissions and resources must
match the documented private-environment contract.
- Legacy reports may lack complete attempt or phase evidence. Reports
preserve that limitation and do not infer zero usage from missing data.

## Model Used

OpenAI GPT-6 through Codex, with reasoning, repository tools and code
execution. The exact deployment variant and context-window size are not
exposed by 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 (targeted checks;
full-suite host limitation disclosed 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>
2026-10-23 07:18:37 -07:00

468 lines
18 KiB
TypeScript

import type {
RunnerE2EBillingSummary,
RunnerE2EResult,
RunnerE2ERuntimeUsage,
RunnerEnvironmentId,
} from "./types.js";
// Public list prices are deliberately versioned here instead of being treated
// as provider-reported charges. Credits, discounts, and Daytona's first 5 GiB
// storage allowance can make the invoice amount lower than this estimate.
export const DAYTONA_LIST_PRICING = {
asOf: "2026-08-27",
url: "https://www.daytona.io/pricing",
cpuCoreHourUsd: 0.0504,
memoryGiBHourUsd: 0.0162,
diskGiBHourUsd: 0.000108,
} as const;
export interface RuntimeLeaseUsageInput {
acquiredAt?: string | Date | null;
releasedAt?: string | Date | null;
updatedAt?: string | Date | null;
metadata?: Record<string, unknown> | null;
}
export interface AgentRunUsageInput {
startedAt?: string | Date | null;
finishedAt?: string | Date | null;
}
export interface CampaignBillingSummary {
assistant?: import("./types.js").RunnerE2EAggregateBillingSummary["assistant"];
judge?: import("./types.js").RunnerE2EJudgeBillingSummary;
testCount: number;
agentRunDurationMs: number | null;
leaseDurationMs: number | null;
llm: RunnerE2EBillingSummary["llm"];
reportedLlmCostUsd: number;
estimatedLlmCostUsd?: number;
estimatedRuntimeCostUsd: number;
observedAndEstimatedCostUsd: number | null;
testsWithCompleteBilling: number;
}
/** Render observed subtotals without presenting absent measurements as zero. */
export function billingCoverageLabel(value: string, covered: number, total: number, incompleteAmount = false): string {
if (!Number.isInteger(covered) || !Number.isInteger(total) || covered <= 0 || total <= 0 || covered > total) {
return "Unavailable";
}
return covered < total ? `${value} (partial: ${covered}/${total} runs)` : incompleteAmount ? `${value} (partial amount)` : value;
}
function costCoverageStatus(runs: number, tokens: number, reported: number, estimated: number, partial = 0): RunnerE2EBillingSummary["llm"]["costStatus"] {
if (partial > 0) return "partial";
if (runs > 0 && reported === runs) return "reported";
if (runs > 0 && reported + estimated === runs) return "estimated";
if (reported + estimated > 0) return "partial";
return tokens > 0 ? "unpriced" : "unavailable";
}
function record(value: unknown): Record<string, unknown> {
return value && typeof value === "object" && !Array.isArray(value)
? (value as Record<string, unknown>)
: {};
}
function finiteNumber(value: unknown): number | undefined {
return typeof value === "number" && Number.isFinite(value) && value >= 0
? value
: undefined;
}
function firstNumber(source: Record<string, unknown>, keys: readonly string[]) {
for (const key of keys) {
const value = finiteNumber(source[key]);
if (value !== undefined) return value;
}
return undefined;
}
function usageMeasurement(usage: Record<string, unknown>) {
const candidates = [
record(usage.runDelta),
record(usage.total),
record(usage.cumulative),
usage,
];
return (
candidates.find(
(candidate) =>
firstNumber(candidate, [
"inputTokens",
"input",
"promptTokens",
"outputTokens",
"output",
"completionTokens",
]) !== undefined,
) ?? usage
);
}
function usageCostUsd(usage: Record<string, unknown>) {
if (usage.billingType === "subscription") return undefined;
const measurement = usageMeasurement(usage);
const exact = typeof usage.costUsdExact === "string" && /^\d+(?:\.\d+)?$/.test(usage.costUsdExact)
? finiteNumber(Number(usage.costUsdExact)) : undefined;
const direct =
firstNumber(usage, ["cacheAdjustedCostUsd"]) ?? exact ??
firstNumber(usage, ["costUsd", "providerCostUsd"]) ??
firstNumber(measurement, [
"cacheAdjustedCostUsd",
"costUsd",
"providerCostUsd",
]);
if (direct !== undefined) return usage.costStatus === "unpriced" && direct === 0 ? undefined : direct;
const cost = record(usage.cost);
const currency =
typeof cost.currency === "string" ? cost.currency.toUpperCase() : "USD";
if (currency !== "USD") return undefined;
const amount = firstNumber(cost, ["amount", "total"]);
return usage.costStatus === "unpriced" && amount === 0 ? undefined : amount;
}
function usageEntries(
rawUsage: Record<string, unknown> | null | undefined,
runCount: number,
) {
const runs = Array.isArray(rawUsage?.runs) ? rawUsage.runs : null;
if (runs) {
const entries = runs.map((entry) => {
const candidate = record(entry);
const usage = candidate.usage;
return usage && typeof usage === "object" && !Array.isArray(usage)
? (usage as Record<string, unknown>)
: null;
});
return [
...entries,
...Array.from(
{ length: Math.max(0, runCount - entries.length) },
() => null,
),
];
}
return Array.from({ length: Math.max(1, runCount) }, (_, index) =>
index === 0 && rawUsage ? rawUsage : null,
);
}
function durationBetween(
startedAt: string | Date | null | undefined,
finishedAt: string | Date | null | undefined,
) {
const started = startedAt ? new Date(startedAt).getTime() : Number.NaN;
const finished = finishedAt ? new Date(finishedAt).getTime() : Number.NaN;
return Number.isFinite(started) && Number.isFinite(finished) && finished >= started
? finished - started
: null;
}
function sumDurations(values: readonly (number | null)[]): number | null {
return values.some(value => value === null) ? null : values.reduce<number>((total, value) => total + value!, 0);
}
function resourceValue(
metadata: Record<string, unknown> | null | undefined,
key: "cpu" | "memory" | "disk",
) {
return finiteNumber(metadata?.[key]);
}
export function buildRuntimeUsage(input: {
environmentId: RunnerEnvironmentId;
runs: readonly AgentRunUsageInput[];
leases?: readonly RuntimeLeaseUsageInput[];
fallbackFinishedAt?: string | Date;
}): RunnerE2ERuntimeUsage {
const agentRunDurationMs = input.runs.length > 0
? sumDurations(input.runs.map(run => durationBetween(run.startedAt, run.finishedAt)))
: null;
if (input.environmentId === "local") {
return {
provider: "local",
agentRunDurationMs,
leaseDurationMs: null,
leaseCount: 0,
costStatus: "not_metered",
costSource: "local_not_metered",
};
}
const leases = input.leases ?? [];
let leaseDurationMs = 0;
let leaseDurationsComplete = leases.length > 0;
let estimatedListCostUsd = 0;
let resourcesComplete = leases.length > 0;
const resourceRows: Array<{ cpu: number; memory: number; disk: number }> = [];
for (const lease of leases) {
const finishedAt =
lease.releasedAt ?? input.fallbackFinishedAt ?? lease.updatedAt ?? null;
const durationMs = durationBetween(lease.acquiredAt, finishedAt);
if (durationMs === null) {
leaseDurationsComplete = false;
resourcesComplete = false;
continue;
}
leaseDurationMs += durationMs;
const cpu = resourceValue(lease.metadata, "cpu");
const memory = resourceValue(lease.metadata, "memory");
const disk = resourceValue(lease.metadata, "disk");
if (cpu === undefined || memory === undefined || disk === undefined) {
resourcesComplete = false;
continue;
}
resourceRows.push({ cpu, memory, disk });
const hours = durationMs / 3_600_000;
estimatedListCostUsd +=
hours *
(cpu * DAYTONA_LIST_PRICING.cpuCoreHourUsd +
memory * DAYTONA_LIST_PRICING.memoryGiBHourUsd +
disk * DAYTONA_LIST_PRICING.diskGiBHourUsd);
}
const commonResource = (key: "cpu" | "memory" | "disk") => {
const values = new Set(resourceRows.map((row) => row[key]));
return values.size === 1 ? resourceRows[0]?.[key] : undefined;
};
return {
provider: "daytona",
agentRunDurationMs,
leaseDurationMs: leaseDurationsComplete ? leaseDurationMs : null,
leaseCount: leases.length,
...(commonResource("cpu") === undefined
? {}
: { cpuCores: commonResource("cpu") }),
...(commonResource("memory") === undefined
? {}
: { memoryGiB: commonResource("memory") }),
...(commonResource("disk") === undefined
? {}
: { diskGiB: commonResource("disk") }),
...(resourcesComplete ? { estimatedListCostUsd } : {}),
costStatus: resourcesComplete ? "estimated" : "unavailable",
costSource: resourcesComplete
? "daytona_public_list_price"
: "provider_cost_unavailable",
...(resourcesComplete
? {
pricingAsOf: DAYTONA_LIST_PRICING.asOf,
pricingUrl: DAYTONA_LIST_PRICING.url,
}
: {}),
};
}
export function fallbackRuntimeUsage(
result: Pick<
RunnerE2EResult,
"environmentId" | "durationMs" | "runtimeUsage"
>,
) {
if (result.runtimeUsage) return result.runtimeUsage;
return {
provider: result.environmentId,
agentRunDurationMs: null,
leaseDurationMs: null,
leaseCount: 0,
costStatus:
result.environmentId === "local" ? "not_metered" : "unavailable",
costSource:
result.environmentId === "local"
? "local_not_metered"
: "provider_cost_unavailable",
} satisfies RunnerE2ERuntimeUsage;
}
export function summarizeExecutionBilling(
result: Pick<
RunnerE2EResult,
"runIds" | "usage" | "environmentId" | "durationMs" | "runtimeUsage" | "firstTaskQuality" | "completionQuality" | "publicMcp" | "productJourney"
> & Partial<Pick<RunnerE2EResult, "runtimeMode">>,
): RunnerE2EBillingSummary {
const browserOnly = Boolean(result.productJourney && result.runtimeMode === "none" && !result.runIds?.length);
const requestedRunCount = browserOnly ? 0 : Math.max(result.runIds?.length ?? 0, 1);
const entries = browserOnly ? [] : usageEntries(result.usage, requestedRunCount);
let inputTokens = 0;
let outputTokens = 0;
let cachedInputTokens = 0;
let runsWithTokenUsage = 0;
let runsWithReportedCost = 0;
let runsWithEstimatedCost = 0;
let runsWithPartialReportedCost = 0;
let reportedCostUsd = 0;
let estimatedCostUsd = 0;
let incompleteReceipt = false;
for (const usage of entries) {
if (!usage) continue;
const measurement = usageMeasurement(usage);
const input =
firstNumber(measurement, ["inputTokens", "input", "promptTokens"]) ?? 0;
const output =
firstNumber(measurement, [
"outputTokens",
"output",
"completionTokens",
]) ?? 0;
const cached =
firstNumber(measurement, [
"cachedInputTokens",
"cacheReadTokens",
"cachedReadTokens",
]) ?? 0;
inputTokens += input;
outputTokens += output;
cachedInputTokens += cached;
const completeTokens = firstNumber(measurement, ["inputTokens", "input", "promptTokens"]) !== undefined &&
firstNumber(measurement, ["outputTokens", "output", "completionTokens"]) !== undefined && usage.accountingReceiptReady !== false;
if (completeTokens) runsWithTokenUsage += 1;
if (usage.accountingReceiptReady === false) incompleteReceipt = true;
const costUsd = usageCostUsd(usage);
if (costUsd !== undefined) {
if (usage.costStatus === "estimated") {
runsWithEstimatedCost += 1;
estimatedCostUsd += costUsd;
} else {
runsWithReportedCost += 1;
if (usage.costStatus === "unpriced") runsWithPartialReportedCost += 1;
reportedCostUsd += costUsd;
}
}
}
const runCount = Math.max(requestedRunCount, entries.length);
const costStatus = costCoverageStatus(runCount, runsWithTokenUsage, runsWithReportedCost, runsWithEstimatedCost, runsWithPartialReportedCost);
const runtime = { ...fallbackRuntimeUsage(result) };
if (browserOnly) runtime.agentRunDurationMs = 0;
const estimatedRuntimeCostUsd = runtime.estimatedListCostUsd ?? 0;
const judgments = [...(result.firstTaskQuality ? [result.firstTaskQuality] : []), ...(result.completionQuality ?? [])];
const sumKnown = (key: "inputTokens" | "outputTokens" | "estimatedCostUsd") => judgments.some(q => q[key] === null) ? null : judgments.reduce((sum, q) => sum + (q[key] ?? 0), 0);
const quality = judgments.length ? { inputTokens: sumKnown("inputTokens"), outputTokens: sumKnown("outputTokens"), estimatedCostUsd: sumKnown("estimatedCostUsd"), reservedCostUsd: judgments.reduce((sum, q) => sum + q.reservedCostUsd, 0) } : undefined;
// The operations receipt covers setup and agent requests for ONE owning attempt.
// Descendants reuse the fixture context without copying its receipt or charges.
const operations = result.productJourney?.operations;
const modelSubtotal = operations ? operations.modelCostUsd : reportedCostUsd + estimatedCostUsd;
const complete =
!incompleteReceipt && runsWithPartialReportedCost === 0 &&
(!quality || quality.estimatedCostUsd !== null) &&
(!operations || operations.modelCostUsd !== null) &&
runsWithTokenUsage === runCount &&
runsWithReportedCost + runsWithEstimatedCost === runCount &&
runtime.costStatus !== "unavailable";
return {
...(result.publicMcp ? { assistant: result.publicMcp } : {}),
llm: {
runCount,
runsWithTokenUsage,
runsWithReportedCost,
runsWithEstimatedCost,
runsWithPartialReportedCost,
inputTokens,
outputTokens,
cachedInputTokens,
totalTokens: inputTokens + cachedInputTokens + outputTokens,
reportedCostUsd,
estimatedCostUsd,
costStatus,
},
runtime,
reportedCostUsd,
estimatedRuntimeCostUsd,
...(quality ? { judge: { inputTokens: quality.inputTokens, outputTokens: quality.outputTokens, estimatedCostUsd: quality.estimatedCostUsd, reservedCostUsd: quality.reservedCostUsd } } : {}),
observedAndEstimatedCostUsd: modelSubtotal === null || quality?.estimatedCostUsd === null ? null : modelSubtotal + estimatedRuntimeCostUsd + (quality?.estimatedCostUsd ?? 0) + (result.publicMcp?.estimatedCostUsd ?? 0),
complete,
};
}
export function aggregateCampaignBilling(
results: readonly RunnerE2EResult[],
): CampaignBillingSummary {
return aggregateBillingSummaries(results.map(result => ({
executionId: result.executionId, billing: summarizeExecutionBilling(result),
})));
}
export function aggregateBillingSummaries(
entries: readonly { executionId: string; billing: RunnerE2EBillingSummary }[],
): CampaignBillingSummary {
const summaries = entries.map(entry => entry.billing);
const executionIds = [...new Set(entries.map(entry => entry.executionId))];
const runCount = summaries.reduce(
(total, summary) => total + summary.llm.runCount,
0,
);
const runsWithTokenUsage = summaries.reduce(
(total, summary) => total + summary.llm.runsWithTokenUsage,
0,
);
const runsWithReportedCost = summaries.reduce(
(total, summary) => total + summary.llm.runsWithReportedCost,
0,
);
const reportedLlmCostUsd = summaries.reduce(
(total, summary) => total + summary.reportedCostUsd,
0,
);
const runsWithEstimatedCost = summaries.reduce((sum, summary) => sum + (summary.llm.runsWithEstimatedCost ?? 0), 0);
const runsWithPartialReportedCost = summaries.reduce((sum, summary) => sum + (summary.llm.runsWithPartialReportedCost ?? 0), 0);
const estimatedLlmCostUsd = summaries.reduce((sum, summary) => sum + (summary.llm.estimatedCostUsd ?? 0), 0);
const estimatedRuntimeCostUsd = summaries.reduce(
(total, summary) => total + summary.estimatedRuntimeCostUsd,
0,
);
const judges = summaries.flatMap(summary => summary.judge ? [summary.judge] : []);
const assistants = summaries.flatMap(summary => summary.assistant ? [summary.assistant] : []);
return {
...(assistants.length ? { assistant: {
requests: assistants.reduce((n, u) => n + u.requests, 0),
inputTokens: assistants.reduce((n, u) => n + u.inputTokens, 0),
outputTokens: assistants.reduce((n, u) => n + u.outputTokens, 0),
cachedInputTokens: assistants.reduce((n, u) => n + u.cachedInputTokens, 0),
estimatedCostUsd: assistants.reduce((n, u) => n + u.estimatedCostUsd, 0),
} } : {}),
...(judges.length ? { judge: {
attempts: judges.length,
inputTokens: judges.reduce((n, q) => n + (q.inputTokens ?? 0), 0),
outputTokens: judges.reduce((n, q) => n + (q.outputTokens ?? 0), 0),
estimatedCostUsd: judges.some(q => q.estimatedCostUsd === null) ? null : judges.reduce((n, q) => n + (q.estimatedCostUsd ?? 0), 0),
reservedCostUsd: judges.reduce((n, q) => n + q.reservedCostUsd, 0),
attemptsWithUnknownUsage: judges.filter(q => q.estimatedCostUsd === null).length,
} } : {}),
testCount: executionIds.length,
agentRunDurationMs: sumDurations(summaries.map(summary => summary.runtime.agentRunDurationMs)),
leaseDurationMs: sumDurations(summaries.filter(summary => summary.runtime.provider === "daytona")
.map(summary => summary.runtime.leaseDurationMs)),
llm: {
runCount,
runsWithTokenUsage,
runsWithReportedCost,
runsWithEstimatedCost,
runsWithPartialReportedCost,
inputTokens: summaries.reduce(
(total, summary) => total + summary.llm.inputTokens,
0,
),
outputTokens: summaries.reduce(
(total, summary) => total + summary.llm.outputTokens,
0,
),
cachedInputTokens: summaries.reduce(
(total, summary) => total + summary.llm.cachedInputTokens,
0,
),
totalTokens: summaries.reduce(
(total, summary) => total + summary.llm.totalTokens,
0,
),
reportedCostUsd: reportedLlmCostUsd,
estimatedCostUsd: estimatedLlmCostUsd,
costStatus: costCoverageStatus(runCount, runsWithTokenUsage, runsWithReportedCost, runsWithEstimatedCost, runsWithPartialReportedCost),
},
reportedLlmCostUsd,
estimatedLlmCostUsd,
estimatedRuntimeCostUsd,
observedAndEstimatedCostUsd: summaries.some(s => s.observedAndEstimatedCostUsd === null) ? null : summaries.reduce((total, summary) => total + (summary.observedAndEstimatedCostUsd ?? 0), 0),
testsWithCompleteBilling: executionIds.filter(id =>
entries.filter(entry => entry.executionId === id).every(entry => entry.billing.complete)).length,
};
}