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Nous: Hermes 4 70B
nousresearch/hermes-4-70b · nousresearch · context 131 072 · in $0.130/1M · out $0.400/1M
Global Index
342
95% CI [322–362] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 314 [263–364] | 0.108 | 0.57 | 0.13 | 0.000 | 271ms | $0.225 | |
| code | 378 [318–438] | 0.166 | 0.63 | 0.33 | 0.000 | 251ms | $0.101 | |
| instruction following | 297 [225–370] | 0.221 | 0.75 | 0.52 | 0.350 | 236ms | $0.029 | |
| knowledge | 285 [246–325] | 0.103 | 1.00 | 0.74 | 0.288 | 240ms | $0.017 | |
| math | 462 [383–542] | 0.246 | 0.70 | 0.60 | 0.000 | 249ms | $0.093 | |
| multilingual | 272 [254–290] | 0.027 | 0.63 | 0.11 | 0.000 | 244ms | $0.019 | |
| reasoning | 444 [374–514] | 0.211 | 0.78 | 0.50 | 0.000 | 237ms | $0.029 | |
| terminal | 285 [243–327] | 0.079 | 0.54 | 0.07 | 0.000 | 259ms | $0.049 |
Every answer, every test
Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.
agentic 4/30 correct
wrongagentic.tools.ledger-v1conf 100% · 444ms · $0.000 · 212 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $818
- kilo: $482
- lima: $712
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $457 from "lima" to "tango"
2. pay $294 from "lima" to "kilo"
3. pay $169 from "tango" to "lima"
4. pay $559 from "lima" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.triage-v1conf 100% · 449ms · $0.000 · 307 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → rivera
- payments → dubois
- infra → silva
INCIDENTS:
1. "export file corrupted" (category: data, priority 4)
2. "card declined at checkout" (category: payments, priority 3)
3. "export file corrupted" (category: data, priority 4)
4. "dashboard shows stale numbers" (category: data, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.context-load-v1conf 100% · 442ms · $0.001 · 104 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (222 records, format: id|customer|region|item|qty|status):
```
1017|acme|south|valve|26|paid
1090|ember|north|valve|82|held
1192|ember|west|rotor|21|paid
1853|harbor|west|gasket|22|paid
1056|birch|south|valve|27|shipped
1698|dorian|north|sensor|91|held
1468|ember|west|cable|22|paid
1130|dorian|north|rotor|60|shipped
1775|dorian|north|panel|42|held
1331|gale|west|valve|91|held
1678|birch|west|valve|97|shipped
1209|gale|north|pump|84|shipped
1531|ember|north|rotor|13|pending
1269|harbor|east|pump|90|pending
1415|ember|west|gasket|83|pending
1713|ionic|west|cable|66|held
1047|juno|north|pump|59|held
1332|cobalt|south|rotor|65|held
1599|juno|north|gasket|12|shipped
1762|birch|north|rotor|73|pending
1340|dorian|south|valve|33|shipped
1756|ember|west|valve|42|pending
1666|harbor|south|frame|10|held
1512|dorian|west|pump|28|pending
1448|cobalt|north|panel|40|pending
1921|juno|east|sensor|31|pending
1158|fulton|east|pump|88|paid
1491|dorian|south|cable|37|paid
1311|gale|west|cable|59|shipped
1334|dorian|west|frame|86|paid
1665|ionic|east|gasket|48|held
1110|ionic|north|valve|48|pending
1304|ionic|north|rotor|38|pending
1422|dorian|east|cable|93|pending
1661|birch|south|sensor|60|held
1684|fulton|south|pump|65|paid
1649|birch|west|frame|87|shipped
1156|cobalt|north|sensor|65|shipped
1812|cobalt|east|sensor|14|held
1885|birch|east|panel|19|held
1806|acme|west|frame|96|held
1874|ember|east|pump|58|pending
1213|fulton|south|panel|61|paid
1576|juno|east|cable|51|shipped
1520|ionic|east|cable|68|pending
1412|fulton|north|pump|23|pending
1896|ember|south|pump|80|pending
1223|fulton|north|panel|30|shipped
1787|harbor|east|rotor|36|pending
1028|acme|south|rotor|38|paid
1231|cobalt|east|frame|57|pending
1671|ember|north|pump|23|held
1425|ember|south|frame|55|paid
1644|harbor|north|pump|53|pending
1656|gale|west|gasket|95|shipped
1169|ember|north|gasket|10|pending
1380|ionic|east|sensor|80|pending
1441|cobalt|west|frame|27|pending
1097|gale|west|valve|66|paid
1388|gale|north|pump|81|shipped
1074|cobalt|east|pump|20|shipped
1734|dorian|south|sensor|56|paid
1161|acme|west|frame|42|paid
1179|harbor|south|gasket|36|shipped
1780|ionic|south|gasket|74|shipped
1866|juno|west|sensor|19|shipped
1825|harbor|west|panel|36|pending
1040|acme|south|gasket|19|paid
1187|gale|east|rotor|89|pending
1633|harbor|east|gasket|20|pending
1819|harbor|west|sensor|92|pending
1845|juno|south|sensor|25|shipped
1598|ember|north|panel|35|pending
1795|fulton|west|pump|45|pending
1023|acme|east|panel|99|pending
1862|harbor|east|frame|19|pending
1808|birch|north|panel|19|paid
1343|dorian|west|frame|87|held
1507|cobalt|south|gasket|20|shipped
1297|fulton|south|rotor|26|shipped
1296|juno|north|pump|89|pending
1264|juno|south|gasket|47|held
1560|birch|south|cable|53|shipped
1570|birch|south|rotor|41|paid
1284|harbor|west|sensor|68|held
1254|juno|south|pump|26|held
1374|gale|south|pump|52|pending
1710|harbor|east|valve|86|paid
1281|birch|east|cable|78|pending
1872|gale|west|frame|69|pending
1662|juno|south|sensor|23|pending
1743|fulton|south|rotor|61|held
1627|ember|west|pump|10|held
1475|dorian|east|pump|27|paid
1248|birch|east|rotor|37|held
1104|dorian|south|pump|47|shipped
1503|cobalt|west|gasket|22|held
1046|ember|north|gasket|84|shipped
1313|harbor|north|valve|83|held
1740|ionic|north|cable|38|pending
1241|acme|north|rotor|72|shipped
1553|acme|north|rotor|37|paid
1608|birch|south|rotor|75|shipped
1131|birch|east|rotor|48|shipped
1318|ionic|north|sensor|11|paid
1357|fulton|west|pump|83|held
1848|dorian|south|rotor|71|shipped
1906|juno|east|valve|31|shipped
1348|harbor|north|rotor|40|pending
1378|harbor|south|rotor|28|paid
1811|cobalt|east|gasket|62|pending
1856|ember|east|valve|81|paid
1008|acme|south|valve|71|pending
1219|ionic|south|frame|46|pending
1463|birch|west|sensor|32|held
1205|juno|south|valve|79|shipped
1892|birch|east|rotor|34|shipped
1140|harbor|south|gasket|51|held
1587|acme|north|cable|18|held
1163|dorian|west|gasket|36|shipped
1352|harbor|west|cable|76|shipped
1881|acme|east|gasket|70|shipped
1839|harbor|east|cable|44|paid
1727|acme|west|gasket|41|held
1617|juno|west|gasket|59|held
1524|gale|east|rotor|16|paid
1066|acme|north|gasket|28|pending
1807|ionic|north|pump|46|shipped
1494|harbor|north|panel|35|paid
1691|gale|west|cable|46|held
1917|harbor|east|sensor|98|held
1123|birch|south|valve|71|pending
1266|ionic|east|pump|97|pending
1048|harbor|west|panel|38|paid
1480|harbor|west|frame|69|shipped
1887|juno|east|cable|34|shipped
1176|harbor|south|cable|33|paid
1444|fulton|west|rotor|65|pending
1630|fulton|west|frame|60|paid
1453|cobalt|south|panel|59|paid
1561|juno|south|cable|99|held
1583|harbor|east|frame|76|shipped
1600|ember|west|gasket|65|held
1591|juno|west|sensor|66|held
1638|cobalt|east|pump|64|held
1893|ember|west|panel|59|paid
1716|acme|north|cable|73|paid
1347|birch|west|panel|98|paid
1774|ember|south|gasket|69|held
1400|acme|west|frame|48|pending
1325|cobalt|north|rotor|33|shipped
1907|acme|south|frame|16|pending
1080|fulton|north|cable|22|pending
1086|harbor|north|frame|88|paid
1018|acme|south|pump|52|pending
1501|cobalt|west|gasket|30|paid
1687|fulton|east|panel|73|pending
1431|cobalt|north|valve|59|held
1498|ember|west|valve|78|paid
1772|birch|north|pump|37|shipped
1211|acme|north|frame|85|paid
1294|gale|north|panel|28|held
1389|harbor|south|pump|17|held
1914|cobalt|south|gasket|32|paid
1092|ionic|north|cable|61|pending
1622|fulton|north|pump|12|paid
1911|gale|south|pump|26|paid
1487|cobalt|west|valve|67|shipped
1834|dorian|north|sensor|19|held
1032|acme|south|frame|18|pending
1199|fulton|south|pump|14|shipped
1050|harbor|east|panel|65|paid
1534|ionic|south|rotor|24|held
1236|gale|west|gasket|74|pending
1136|acme|north|pump|24|shipped
1519|fulton|north|panel|13|shipped
1828|ionic|east|gasket|91|shipped
1228|birch|west|rotor|51|shipped
1801|gale|north|gasket|18|shipped
1782|cobalt|south|gasket|53|shipped
1369|juno|south|pump|81|pending
1407|dorian|east|rotor|99|pending
1456|cobalt|north|rotor|34|paid
1436|fulton|east|frame|32|shipped
1810|ionic|west|panel|94|shipped
1116|dorian|south|frame|98|held
1145|juno|west|cable|81|pending
1274|acme|west|gasket|54|paid
1789|fulton|north|pump|78|paid
1128|gale|south|rotor|85|pending
1606|ionic|north|cable|88|paid
1363|fulton|east|pump|61|pending
1563|fulton|west|panel|59|held
1220|gale|north|valve|73|held
1328|cobalt|north|cable|55|paid
1111|cobalt|east|pump|47|pending
1447|dorian|west|gasket|73|held
1010|acme|north|cable|57|pending
1214|fulton|south|rotor|49|pending
1081|juno|west|cable|40|shipped
1703|ionic|south|pump|95|paid
1749|birch|east|cable|22|shipped
1037|acme|north|cable|13|pending
1073|dorian|west|rotor|98|paid
1722|gale|north|cable|60|pending
1061|ionic|north|pump|79|paid
1346|ember|north|panel|15|shipped
1157|ember|east|pump|10|paid
1383|ionic|east|sensor|13|paid
1610|ionic|south|pump|30|pending
1899|birch|east|gasket|92|shipped
1265|birch|north|pump|19|shipped
1908|cobalt|north|pump|59|held
1182|ionic|west|panel|73|paid
1737|birch|south|rotor|88|held
1767|dorian|south|cable|10|held
1541|gale|west|frame|13|pending
1290|acme|east|valve|95|held
1152|cobalt|south|sensor|28|paid
1259|harbor|south|pump|72|pending
1547|ember|south|pump|79|paid
1396|birch|south|cable|78|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "restock",
"args": {
"item": "valve",
"qty": 71
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1018
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1032
}
}
]wrongagentic.tools.deploy-v1conf 100% · 345ms · $0.000 · 95 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: gateway, search
- search: reports
- reports: (none)
- gateway: reports, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.triage-v1conf 100% · 244ms · $0.000 · 310 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → chen
- payments → silva
- data → dubois
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 8)
2. "invoice total wrong" (category: payments, priority 6)
3. "records missing after import" (category: data, priority 6)
4. "records missing after import" (category: data, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.ledger-v1conf 100% · 251ms · $0.000 · 172 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $785
- oscar: $329
- alpha: $712
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $138 from "oscar" to "alpha"
2. pay $551 from "oscar" to "alpha"
3. pay $157 from "alpha" to "oscar"
4. pay $409 from "delta" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.context-load-v1conf 100% · 648ms · $0.000 · 117 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (171 records, format: id|customer|region|item|qty|status):
```
1810|fulton|west|pump|38|shipped
1638|fulton|north|valve|28|shipped
1465|harbor|north|rotor|86|pending
1853|ionic|east|rotor|27|pending
1440|gale|north|gasket|26|pending
1941|birch|east|frame|13|shipped
1421|dorian|north|valve|54|shipped
1623|juno|west|rotor|41|shipped
1542|gale|east|sensor|74|held
1386|ionic|west|pump|89|pending
1696|gale|north|frame|72|pending
1331|cobalt|west|pump|59|pending
1704|fulton|east|panel|96|paid
1899|birch|west|rotor|25|pending
1934|fulton|north|pump|83|paid
1843|birch|north|frame|60|pending
1824|acme|south|valve|96|shipped
1563|harbor|north|frame|79|shipped
1354|acme|north|frame|76|shipped
1890|harbor|south|gasket|42|shipped
1315|cobalt|west|sensor|69|pending
1905|ember|east|rotor|12|shipped
1748|dorian|west|sensor|28|shipped
1895|fulton|north|valve|85|shipped
1471|cobalt|north|panel|87|shipped
1593|juno|west|gasket|37|shipped
1327|cobalt|east|gasket|61|shipped
1947|fulton|north|rotor|49|pending
1758|ionic|south|rotor|11|paid
1889|gale|west|frame|40|paid
1956|fulton|east|pump|68|paid
1345|cobalt|east|valve|45|paid
1537|ionic|east|pump|21|paid
1707|ember|north|cable|99|pending
1722|juno|south|gasket|38|held
1790|juno|north|panel|45|held
1523|gale|south|valve|41|shipped
1644|birch|north|valve|97|paid
1453|birch|west|pump|45|paid
1579|gale|north|valve|41|shipped
1585|dorian|south|frame|33|shipped
1681|juno|north|panel|53|held
1792|cobalt|east|panel|77|pending
1732|birch|east|pump|57|pending
1530|gale|east|valve|72|shipped
1416|birch|west|frame|24|paid
1755|harbor|east|sensor|26|shipped
1435|ionic|north|pump|40|held
1557|acme|south|rotor|95|held
1760|gale|west|frame|49|paid
1617|fulton|west|pump|47|shipped
1548|acme|east|frame|35|paid
1938|ember|south|panel|65|shipped
1776|harbor|north|rotor|35|pending
1845|gale|west|gasket|48|paid
1494|juno|south|cable|85|paid
1916|harbor|north|gasket|38|paid
1647|dorian|north|rotor|89|held
1636|dorian|south|cable|59|held
1334|cobalt|east|cable|95|pending
1959|juno|south|frame|67|paid
1767|acme|north|valve|11|pending
1520|fulton|east|pump|41|held
1918|acme|east|frame|86|paid
1447|cobalt|east|panel|83|paid
1663|gale|south|gasket|81|pending
1503|harbor|east|panel|31|paid
1339|cobalt|west|panel|52|pending
1801|acme|west|cable|77|pending
1863|harbor|west|pump|53|paid
1898|gale|east|pump|61|held
1399|fulton|south|panel|95|shipped
1578|acme|west|panel|46|shipped
1832|fulton|east|rotor|41|pending
1529|juno|south|gasket|59|shipped
1656|birch|west|valve|33|shipped
1958|fulton|west|frame|73|held
1836|gale|east|frame|47|pending
1736|cobalt|west|pump|90|paid
1587|acme|south|gasket|73|pending
1799|harbor|west|frame|27|held
1364|cobalt|east|panel|79|paid
1728|harbor|north|pump|45|paid
1869|cobalt|east|cable|72|paid
1605|dorian|east|cable|48|held
1674|fulton|south|gasket|56|paid
1372|ember|south|cable|87|paid
1651|gale|west|valve|57|pending
1729|harbor|east|pump|34|held
1921|cobalt|west|panel|21|paid
1500|acme|south|frame|22|shipped
1860|harbor|south|panel|54|held
1893|cobalt|east|rotor|66|shipped
1346|dorian|south|frame|91|shipped
1393|harbor|west|pump|97|pending
1811|acme|east|sensor|60|pending
1818|cobalt|south|panel|40|paid
1429|fulton|south|valve|71|pending
1316|cobalt|east|sensor|20|paid
1906|dorian|north|frame|58|held
1717|fulton|south|sensor|26|paid
1618|dorian|east|sensor|64|shipped
1410|gale|east|gasket|55|shipped
1598|harbor|north|pump|68|paid
1441|dorian|south|rotor|92|pending
1885|ember|north|pump|32|pending
1333|cobalt|east|valve|27|shipped
1879|fulton|south|gasket|77|pending
1407|acme|east|cable|55|pending
1737|juno|west|gasket|32|held
1827|birch|east|cable|83|shipped
1481|fulton|south|rotor|24|pending
1610|dorian|north|panel|83|paid
1516|ionic|north|panel|71|held
1871|cobalt|west|panel|56|pending
1688|juno|east|gasket|61|shipped
1702|gale|east|panel|98|pending
1423|ember|west|cable|66|shipped
1807|ionic|north|rotor|44|paid
1534|ionic|north|valve|45|shipped
1402|dorian|south|panel|46|held
1406|juno|west|panel|63|held
1570|cobalt|east|gasket|94|held
1459|acme|north|pump|86|paid
1607|gale|north|pump|25|shipped
1741|acme|north|gasket|14|pending
1910|fulton|east|cable|43|paid
1314|cobalt|east|cable|93|pending
1782|acme|west|valve|89|shipped
1468|ionic|north|valve|49|held
1485|gale|west|cable|19|held
1922|cobalt|east|cable|53|paid
1543|harbor|west|sensor|25|held
1655|juno|west|valve|71|paid
1710|juno|east|sensor|66|shipped
1554|cobalt|south|cable|61|pending
1422|cobalt|west|rotor|55|paid
1387|ember|east|valve|30|shipped
1786|fulton|south|frame|22|paid
1609|birch|east|rotor|28|paid
1668|dorian|south|pump|81|paid
1629|dorian|north|pump|85|held
1571|birch|east|valve|91|held
1488|juno|west|rotor|10|held
1872|juno|east|frame|37|shipped
1509|birch|north|valve|67|held
1646|birch|south|sensor|88|paid
1379|acme|south|cable|60|held
1909|juno|west|panel|36|pending
1773|juno|east|cable|54|shipped
1324|cobalt|south|rotor|72|pending
1880|gale|east|cable|72|shipped
1851|ember|north|frame|10|pending
1931|ionic|east|sensor|80|shipped
1930|gale|south|cable|60|pending
1475|dorian|east|sensor|50|shipped
1323|cobalt|east|panel|41|pending
1949|juno|south|sensor|79|paid
1924|birch|west|cable|19|held
1555|ionic|north|panel|45|shipped
1772|cobalt|east|frame|17|pending
1813|birch|north|sensor|66|pending
1328|cobalt|east|rotor|62|pending
1630|fulton|west|valve|72|pending
1388|gale|east|gasket|91|shipped
1694|fulton|east|valve|32|held
1480|gale|east|frame|41|pending
1360|gale|north|sensor|87|paid
1352|gale|east|panel|83|shipped
1366|fulton|east|rotor|95|held
1358|cobalt|south|valve|82|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "panel", "qty": 83}},
{"tool": "restock", "args": {"item": "panel", "qty": 77}},
{"tool": "cancel_order", "args": {"order_id": 1314}},
{"tool": "cancel_order", "args": {"order_id": 1323}},
{"tool": "cancel_order", "args": {"order_id": 1772}}
]wrongagentic.tools.deploy-v1conf 100% · 265ms · $0.000 · 96 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: search
- auth-svc: gateway
- search: (none)
- notifier: gateway, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.triage-v1conf 100% · 227ms · $0.000 · 310 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → rivera
- infra → haddad
- auth → silva
INCIDENTS:
1. "export file corrupted" (category: data, priority 4)
2. "export file corrupted" (category: data, priority 4)
3. "SSO loop on login" (category: auth, priority 2)
4. "records missing after import" (category: data, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 4
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "rivera"
}
}
]wrongagentic.tools.ledger-v1conf 100% · 257ms · $0.000 · 174 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $733
- oscar: $144
- delta: $529
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $552 from "kilo" to "delta"
2. pay $126 from "oscar" to "kilo"
3. pay $467 from "oscar" to "kilo"
4. pay $183 from "kilo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.context-load-v1conf 100% · 493ms · $0.001 · 195 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (216 records, format: id|customer|region|item|qty|status):
```
1659|ionic|west|panel|56|shipped
2101|harbor|east|cable|44|held
1787|fulton|east|cable|81|pending
1482|dorian|west|rotor|69|pending
1815|fulton|east|valve|59|paid
1517|dorian|east|panel|90|pending
1609|ember|west|rotor|76|shipped
1548|cobalt|west|gasket|64|held
1676|dorian|east|pump|30|paid
1888|ionic|west|panel|45|paid
2279|cobalt|south|frame|88|paid
2224|acme|west|rotor|47|held
1743|gale|east|pump|92|paid
1673|gale|east|panel|79|paid
1988|harbor|east|panel|79|pending
2123|ember|east|panel|13|paid
2260|ionic|west|gasket|73|paid
2305|ember|north|pump|85|paid
2252|dorian|east|gasket|25|held
1677|birch|west|cable|48|held
1728|gale|west|cable|41|pending
2238|harbor|east|rotor|93|paid
2322|acme|north|rotor|71|paid
1651|birch|east|sensor|33|paid
2035|acme|north|gasket|77|held
2187|harbor|east|panel|64|paid
1820|ionic|south|pump|50|paid
2057|gale|east|sensor|17|held
2337|dorian|south|frame|11|shipped
1890|gale|east|frame|27|pending
2025|ember|west|valve|61|paid
1590|ember|west|cable|43|shipped
1894|birch|north|panel|80|shipped
1975|harbor|north|gasket|30|paid
1901|juno|north|pump|31|held
2244|ionic|west|sensor|57|held
2031|ember|west|valve|25|shipped
1722|harbor|north|panel|58|held
1688|dorian|west|panel|70|paid
2143|acme|south|valve|56|pending
1775|dorian|west|gasket|41|shipped
2021|ember|west|sensor|50|held
1720|birch|east|valve|45|shipped
1769|ionic|east|rotor|49|shipped
2217|ember|west|valve|26|paid
1725|juno|east|cable|29|pending
1665|juno|west|gasket|43|held
1908|cobalt|south|rotor|86|pending
2039|juno|south|sensor|91|shipped
1785|harbor|north|panel|42|pending
1701|acme|south|rotor|26|pending
2184|gale|east|cable|69|pending
2219|birch|south|valve|10|paid
1577|cobalt|north|cable|52|held
1840|cobalt|east|rotor|70|held
1526|juno|east|pump|63|shipped
1559|acme|east|cable|12|held
1880|ionic|south|panel|73|pending
2209|dorian|north|valve|11|held
1832|gale|west|cable|72|paid
1686|ember|west|gasket|30|shipped
1982|ember|north|pump|84|pending
2176|fulton|east|rotor|65|pending
1828|ionic|north|panel|40|pending
1960|dorian|west|rotor|18|paid
2080|ionic|south|gasket|95|shipped
2249|gale|south|rotor|49|held
1765|ember|north|gasket|23|paid
1788|birch|south|sensor|32|shipped
2169|ember|north|pump|59|held
2205|harbor|north|rotor|21|paid
1641|juno|south|cable|36|shipped
1966|harbor|south|valve|88|pending
1802|dorian|west|pump|73|pending
2163|birch|east|gasket|30|shipped
1774|gale|north|sensor|39|shipped
1710|dorian|south|pump|54|paid
1506|dorian|west|valve|93|shipped
1603|harbor|east|valve|61|shipped
1489|dorian|west|sensor|46|held
1646|juno|south|panel|34|shipped
2291|gale|east|cable|52|held
1636|gale|east|gasket|42|pending
1493|dorian|west|gasket|62|pending
2067|fulton|west|gasket|20|paid
1878|dorian|north|valve|34|paid
2113|cobalt|south|panel|73|shipped
1866|harbor|north|cable|10|paid
2074|fulton|east|frame|19|shipped
2051|birch|west|valve|30|held
1533|juno|north|rotor|23|held
2082|acme|west|gasket|22|pending
1804|birch|east|rotor|68|paid
2147|ionic|east|sensor|17|pending
1713|birch|west|valve|97|paid
2062|juno|south|sensor|45|held
1903|cobalt|south|gasket|47|held
2046|gale|east|cable|35|paid
1991|acme|east|pump|81|paid
1758|cobalt|south|sensor|85|pending
1753|ember|south|gasket|67|paid
1536|juno|north|frame|67|held
2135|ember|west|cable|54|pending
2040|juno|north|sensor|97|paid
2156|gale|south|sensor|76|held
2165|harbor|east|frame|68|paid
2269|ionic|west|gasket|60|paid
1899|acme|north|sensor|31|held
2199|birch|east|sensor|47|held
1664|fulton|east|pump|80|paid
1917|fulton|west|cable|35|pending
1773|dorian|east|cable|36|pending
2149|acme|east|cable|74|shipped
1895|juno|east|cable|27|pending
2311|ember|west|frame|87|paid
1600|ionic|north|valve|91|held
1780|cobalt|north|sensor|84|shipped
1834|dorian|east|sensor|63|shipped
2186|birch|south|sensor|53|pending
1624|birch|west|frame|79|shipped
1485|dorian|south|cable|29|pending
1810|fulton|west|cable|56|shipped
1938|ember|north|pump|74|paid
2274|juno|west|gasket|86|paid
1574|ember|south|rotor|44|pending
1926|ionic|west|frame|69|paid
1614|juno|north|valve|69|held
1667|cobalt|east|valve|91|paid
2004|gale|north|gasket|96|shipped
1889|fulton|east|panel|51|held
1608|fulton|south|panel|95|held
1723|birch|east|panel|85|held
1565|fulton|north|rotor|67|paid
1990|fulton|west|panel|99|held
1694|ember|east|pump|27|shipped
1552|cobalt|south|rotor|50|shipped
1950|fulton|west|rotor|63|pending
2256|acme|south|rotor|18|held
2140|birch|south|panel|76|pending
2017|fulton|west|pump|59|held
2297|harbor|north|sensor|77|held
1846|fulton|west|rotor|42|pending
2193|ember|south|sensor|60|shipped
1996|fulton|east|frame|62|paid
1572|cobalt|south|rotor|38|held
1973|gale|south|pump|81|pending
2263|ionic|west|gasket|91|pending
1662|fulton|east|valve|71|held
2086|gale|south|panel|78|pending
1631|ember|north|sensor|28|shipped
1945|harbor|north|pump|37|pending
2108|juno|north|valve|33|pending
1500|dorian|south|pump|97|pending
1550|ionic|north|gasket|69|shipped
1805|harbor|south|valve|18|shipped
1883|harbor|east|gasket|69|shipped
2120|ionic|north|valve|42|pending
2181|cobalt|east|gasket|98|shipped
1795|gale|north|frame|54|pending
1654|birch|south|gasket|67|paid
2247|fulton|north|frame|19|pending
1541|cobalt|west|panel|98|pending
1749|birch|east|valve|44|pending
1595|ionic|north|panel|89|pending
2151|juno|south|frame|75|shipped
1954|ionic|north|valve|74|held
1706|ionic|north|valve|96|pending
2095|harbor|east|rotor|30|pending
2327|acme|west|frame|77|held
1845|dorian|north|sensor|55|paid
2063|birch|south|sensor|24|shipped
1872|fulton|south|pump|52|held
2129|ionic|south|gasket|47|held
1963|harbor|north|frame|30|held
2231|ionic|west|valve|66|shipped
1923|ionic|east|valve|13|held
1711|acme|north|frame|21|held
1642|juno|west|pump|48|paid
1915|ionic|north|rotor|54|held
1738|ionic|south|cable|32|shipped
1620|dorian|north|valve|10|paid
1681|gale|west|gasket|10|held
1733|birch|west|gasket|79|pending
2285|ember|south|valve|18|paid
1822|harbor|west|sensor|69|paid
2259|dorian|north|gasket|16|pending
2089|acme|south|cable|42|shipped
1704|gale|south|gasket|64|held
2334|ionic|west|valve|92|pending
2012|ember|west|rotor|33|shipped
1876|birch|south|cable|64|paid
1900|ember|north|sensor|62|shipped
1584|juno|north|valve|68|shipped
2302|dorian|east|cable|22|pending
2002|juno|east|panel|90|pending
1555|ember|south|cable|77|shipped
1821|ionic|west|gasket|23|paid
1984|harbor|west|panel|24|shipped
1914|cobalt|east|panel|98|held
1865|acme|south|panel|21|shipped
2213|acme|north|frame|49|held
1853|cobalt|west|pump|88|paid
1745|harbor|west|frame|68|pending
1522|dorian|west|valve|40|paid
2330|dorian|south|valve|22|shipped
2007|juno|west|panel|89|pending
1933|fulton|north|frame|58|held
1511|dorian|west|panel|45|pending
2317|fulton|south|sensor|22|shipped
1637|fulton|east|panel|78|held
1644|juno|north|valve|75|paid
1859|ionic|north|frame|44|paid
2229|ionic|south|cable|51|held
2250|birch|west|panel|14|shipped
2338|harbor|south|gasket|23|paid
2221|juno|south|frame|95|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "rotor", "qty": 69}},
{"tool": "restock", "args": {"item": "gasket", "qty": 62}},
{"tool": "cancel_order", "args": {"order_id": 1511}},
{"tool": "cancel_order", "args": {"order_id": 1802}},
{"tool": "cancel_order", "args": {"order_id": 1950}},
{"tool": "cancel_order", "args": {"order_id": 2082}},
{"tool": "cancel_order", "args": {"order_id": 2143}},
{"tool": "cancel_order", "args": {"order_id": 2263}},
{"tool": "cancel_order", "args": {"order_id": 2334}}
]wrongagentic.tools.deploy-v1conf 100% · 224ms · $0.000 · 94 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: reports
- reports: gateway
- gateway: (none)
- notifier: gateway, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.triage-v1conf 100% · 271ms · $0.000 · 238 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- infra → dubois
- auth → okafor
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 6)
2. "uploads failing intermittently" (category: infra, priority 7)
3. "uploads failing intermittently" (category: infra, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 7
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 7
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]wrongagentic.tools.ledger-v1conf 100% · 262ms · $0.000 · 182 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $811
- lima: $332
- echo: $532
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $259 from "lima" to "echo"
2. pay $308 from "oscar" to "echo"
3. pay $527 from "lima" to "echo"
4. pay $307 from "lima" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 259}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 308}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 195}},
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 527}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 307}},
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 307}}
]wrongagentic.tools.context-load-v1conf 100% · 668ms · $0.000 · 251 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (136 records, format: id|customer|region|item|qty|status):
```
1355|juno|west|rotor|32|held
1297|harbor|west|panel|64|shipped
1358|birch|west|rotor|37|shipped
1419|cobalt|west|rotor|38|pending
1255|dorian|west|gasket|39|pending
1374|dorian|south|pump|45|pending
1400|dorian|east|panel|99|shipped
1093|juno|west|panel|97|held
1271|dorian|south|gasket|45|paid
1387|fulton|north|panel|11|held
1518|ember|south|panel|23|shipped
1018|acme|east|frame|41|paid
1086|gale|south|sensor|25|paid
1189|dorian|north|rotor|51|held
1324|gale|east|cable|93|pending
1521|gale|west|gasket|88|shipped
1103|harbor|west|valve|27|paid
1332|acme|west|valve|35|held
1136|gale|north|frame|71|pending
1025|acme|north|sensor|11|pending
1076|acme|west|rotor|90|paid
1121|harbor|east|frame|46|held
1052|acme|east|pump|61|shipped
1304|dorian|east|frame|89|shipped
1443|harbor|east|frame|15|shipped
1125|harbor|east|frame|70|held
1200|ionic|north|cable|59|held
1110|juno|south|valve|51|held
1409|cobalt|east|gasket|59|paid
1337|gale|east|panel|90|shipped
1469|ionic|west|sensor|99|shipped
1266|gale|north|sensor|99|held
1336|ionic|south|valve|11|pending
1414|ember|north|gasket|51|shipped
1423|ionic|north|rotor|79|paid
1291|acme|west|cable|81|paid
1380|birch|east|valve|52|paid
1309|gale|north|panel|82|shipped
1317|fulton|south|valve|52|shipped
1048|acme|north|pump|34|pending
1360|fulton|south|panel|10|pending
1267|cobalt|south|pump|89|shipped
1513|acme|east|rotor|46|paid
1037|acme|east|valve|42|pending
1261|birch|north|pump|45|shipped
1285|cobalt|north|pump|93|held
1393|birch|south|pump|52|shipped
1274|harbor|east|gasket|79|held
1492|cobalt|south|panel|51|shipped
1244|dorian|east|pump|29|held
1011|acme|east|pump|24|pending
1386|birch|east|panel|67|paid
1416|ember|south|frame|46|shipped
1101|juno|south|valve|51|pending
1459|fulton|east|rotor|71|paid
1451|acme|east|frame|68|pending
1199|dorian|south|rotor|44|shipped
1341|acme|west|rotor|65|held
1472|birch|south|pump|46|shipped
1066|birch|east|gasket|19|shipped
1217|cobalt|south|cable|66|shipped
1113|dorian|east|sensor|83|shipped
1348|dorian|north|valve|72|held
1014|acme|west|frame|66|pending
1417|dorian|south|frame|79|paid
1270|gale|east|panel|70|pending
1120|fulton|west|pump|62|shipped
1342|birch|south|panel|59|pending
1433|cobalt|west|sensor|20|pending
1019|acme|east|sensor|25|pending
1100|birch|south|pump|61|shipped
1172|birch|east|rotor|44|held
1148|ember|east|cable|72|shipped
1502|gale|south|gasket|94|shipped
1212|gale|south|panel|77|held
1253|birch|west|sensor|68|paid
1206|juno|north|panel|98|shipped
1168|gale|south|frame|31|held
1392|harbor|west|sensor|11|pending
1403|fulton|east|frame|75|pending
1178|ionic|east|cable|87|held
1506|harbor|west|cable|46|paid
1064|acme|east|frame|72|shipped
1039|acme|south|gasket|89|pending
1191|dorian|south|panel|15|pending
1363|fulton|south|rotor|22|held
1523|cobalt|north|frame|86|pending
1441|ionic|north|frame|19|pending
1235|gale|east|cable|52|pending
1259|harbor|south|pump|44|shipped
1240|ember|west|gasket|66|paid
1437|cobalt|north|cable|57|shipped
1321|gale|south|panel|68|pending
1426|acme|west|gasket|80|shipped
1490|ember|north|pump|15|shipped
1465|cobalt|north|frame|66|pending
1080|dorian|east|valve|99|paid
1279|birch|east|panel|21|pending
1069|harbor|east|panel|28|held
1094|juno|east|frame|34|pending
1399|birch|west|rotor|79|pending
1288|birch|west|frame|60|held
1310|fulton|east|sensor|55|held
1230|harbor|east|gasket|53|paid
1520|juno|east|cable|17|shipped
1425|fulton|west|pump|19|shipped
1331|birch|north|cable|60|pending
1042|acme|east|valve|23|pending
1226|juno|west|cable|13|shipped
1457|harbor|north|frame|12|pending
1470|ionic|south|rotor|95|shipped
1160|ionic|south|valve|96|held
1056|acme|east|rotor|83|pending
1479|harbor|west|gasket|36|shipped
1497|birch|east|panel|87|pending
1142|fulton|north|gasket|18|shipped
1376|acme|south|sensor|95|pending
1368|fulton|south|gasket|46|shipped
1329|ionic|south|sensor|15|pending
1485|birch|east|panel|14|shipped
1163|birch|south|gasket|33|paid
1454|cobalt|north|rotor|15|held
1184|birch|east|gasket|19|paid
1061|acme|north|rotor|27|pending
1249|ember|north|cable|75|shipped
1223|cobalt|east|rotor|95|paid
1040|acme|east|pump|38|shipped
1155|ionic|east|pump|66|paid
1084|birch|east|rotor|76|pending
1196|ionic|west|valve|47|held
1345|cobalt|west|cable|42|paid
1446|cobalt|south|panel|11|held
1467|juno|east|pump|85|paid
1132|fulton|west|pump|39|shipped
1287|harbor|east|panel|38|paid
1032|acme|east|cable|53|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 44, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "frame", "qty": 68}},
{"tool": "restock", "args": {"item": "pump", "qty": 38}},
{"tool": "cancel_order", "args": {"order_id": 1011}},
{"tool": "cancel_order", "args": {"order_id": 1039}},
{"tool": "cancel_order", "args": {"order_id": 1042}},
{"tool": "cancel_order", "args": {"order_id": 1056}},
{"tool": "cancel_order", "args": {"order_id": 1069}},
{"tool": "cancel_order", "args": {"order_id": 1094}},
{"tool": "cancel_order", "args": {"order_id": 1191}},
{"tool": "cancel_order", "args": {"order_id": 1279}},
{"tool": "cancel_order", "args": {"order_id": 1465}},
{"tool": "cancel_order", "args": {"order_id": 1523}}
]wrongagentic.tools.deploy-v1conf 100% · 241ms · $0.000 · 95 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: auth-svc, search
- auth-svc: search
- search: billing
- billing: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.ledger-v1conf 100% · 271ms · $0.000 · 286 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $421
- echo: $141
- bravo: $450
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $525 from "bravo" to "echo"
2. pay $299 from "echo" to "bravo"
3. pay $526 from "tango" to "bravo"
4. pay $142 from "bravo" to "tango"
5. pay $302 from "echo" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.triage-v1conf 100% · 252ms · $0.000 · 378 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → okafor
- payments → dubois
- infra → novak
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 5)
2. "card declined at checkout" (category: payments, priority 9)
3. "locked out after 2FA change" (category: auth, priority 5)
4. "SSO loop on login" (category: auth, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 5
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-4"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "okafor"
}
}
]wrongagentic.tools.context-load-v1conf 100% · 389ms · $0.001 · 261 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (194 records, format: id|customer|region|item|qty|status):
```
2015|birch|east|valve|98|paid
1400|ionic|east|panel|70|held
1554|gale|east|sensor|63|pending
1617|ember|west|sensor|24|pending
1570|ember|north|frame|99|held
1651|ionic|north|rotor|98|paid
1966|gale|north|panel|46|paid
1444|ember|north|gasket|50|held
1335|dorian|east|pump|67|pending
1593|cobalt|east|panel|11|pending
1383|dorian|east|rotor|74|shipped
1336|dorian|west|cable|11|pending
1483|juno|north|valve|15|paid
1528|ember|west|frame|89|pending
1776|birch|west|cable|77|shipped
1924|birch|west|sensor|99|pending
2093|juno|south|panel|64|held
1644|ionic|south|pump|32|pending
1820|ionic|west|frame|44|shipped
1449|harbor|east|frame|68|held
1775|birch|east|rotor|35|shipped
2037|cobalt|north|rotor|99|shipped
1584|dorian|west|rotor|23|shipped
1501|cobalt|east|rotor|98|shipped
1361|dorian|north|frame|64|pending
1871|acme|north|gasket|43|held
1938|gale|east|pump|98|shipped
2005|juno|south|cable|79|held
2052|harbor|north|frame|21|paid
2095|acme|south|cable|94|shipped
1424|ionic|east|panel|33|shipped
1867|harbor|north|rotor|69|pending
1865|acme|north|panel|41|paid
1933|ionic|north|cable|31|paid
1791|ember|south|panel|74|paid
1782|harbor|north|sensor|20|pending
1547|acme|east|panel|32|shipped
2032|ember|west|valve|65|pending
1494|dorian|west|panel|54|pending
1699|ember|north|frame|39|pending
2069|gale|north|cable|63|paid
2097|ember|north|cable|24|pending
1493|ionic|south|pump|24|held
1883|juno|west|pump|90|paid
1442|acme|north|frame|67|shipped
1974|birch|east|valve|33|paid
1615|acme|south|gasket|34|held
1813|dorian|west|valve|39|held
2088|fulton|east|frame|99|shipped
2035|fulton|east|valve|48|pending
1968|gale|east|rotor|71|pending
1797|birch|west|rotor|83|held
1742|ionic|south|pump|84|pending
1890|dorian|north|cable|98|pending
1894|gale|east|panel|97|shipped
1591|harbor|south|rotor|81|paid
1977|fulton|south|sensor|24|held
2063|dorian|east|panel|43|paid
1789|cobalt|east|sensor|66|paid
1682|ionic|north|rotor|53|paid
1856|dorian|east|sensor|46|pending
2041|dorian|west|pump|93|held
1638|ember|north|sensor|77|shipped
1764|harbor|north|rotor|81|paid
1348|dorian|south|sensor|22|pending
1625|dorian|south|cable|91|pending
1558|acme|west|rotor|11|shipped
1804|ionic|west|gasket|15|paid
1516|acme|west|panel|21|shipped
1652|ionic|north|gasket|53|paid
1831|fulton|east|valve|78|shipped
1397|juno|west|valve|10|paid
1736|birch|south|valve|74|paid
1993|juno|south|cable|35|held
1836|gale|south|pump|17|held
1989|ember|west|panel|78|paid
2056|ionic|east|panel|95|held
1471|birch|south|valve|69|held
1740|harbor|north|gasket|78|held
1771|cobalt|north|cable|18|paid
1371|dorian|east|gasket|65|pending
1609|ionic|east|panel|38|pending
1622|juno|north|rotor|81|shipped
1359|dorian|east|rotor|62|pending
1431|juno|east|cable|95|pending
1747|harbor|east|valve|96|shipped
1726|birch|north|gasket|95|paid
1581|cobalt|west|pump|65|held
2047|ionic|west|pump|86|held
2055|cobalt|north|valve|29|paid
1748|ionic|south|panel|47|pending
1661|ionic|north|valve|94|held
1693|fulton|north|panel|96|paid
1951|cobalt|east|panel|76|shipped
1456|dorian|north|panel|20|held
2076|dorian|south|sensor|62|pending
2000|birch|south|sensor|30|shipped
1825|ember|west|pump|64|shipped
1523|dorian|west|cable|83|shipped
1512|harbor|east|cable|23|held
1666|dorian|east|pump|39|paid
1535|harbor|south|cable|64|paid
1731|fulton|south|rotor|22|pending
1672|cobalt|south|pump|54|paid
2096|juno|south|gasket|69|shipped
2091|acme|east|sensor|81|pending
1520|ionic|west|valve|10|paid
1540|ionic|west|cable|87|paid
2030|dorian|east|gasket|10|held
1991|fulton|south|sensor|24|paid
1443|harbor|south|cable|59|held
1957|birch|east|gasket|54|paid
1659|acme|south|panel|72|held
1678|gale|west|cable|61|paid
1866|ember|west|pump|41|held
2024|cobalt|east|rotor|18|shipped
2050|ember|west|frame|89|held
1915|fulton|east|valve|17|paid
2014|fulton|east|gasket|75|pending
1899|harbor|west|valve|20|pending
1413|juno|east|frame|64|shipped
1945|fulton|east|valve|51|shipped
1578|cobalt|west|gasket|13|paid
1624|gale|east|pump|91|paid
1861|cobalt|east|sensor|59|pending
1621|cobalt|east|frame|74|paid
1492|harbor|east|cable|47|held
1992|harbor|east|gasket|10|shipped
1478|birch|east|valve|21|paid
1606|ember|north|panel|60|paid
1897|juno|west|sensor|50|held
1597|harbor|north|panel|49|held
1417|birch|west|sensor|50|held
1505|dorian|west|pump|81|paid
1378|dorian|south|valve|51|pending
2021|juno|south|panel|39|paid
1755|ionic|east|valve|99|paid
1631|birch|north|cable|78|paid
1342|dorian|east|cable|58|pending
1367|dorian|east|valve|84|paid
1489|birch|east|cable|95|pending
2109|harbor|north|cable|13|held
1573|gale|south|pump|27|pending
1385|dorian|south|panel|62|held
1869|harbor|east|gasket|54|shipped
1901|cobalt|east|panel|44|held
1947|dorian|west|gasket|38|shipped
2045|dorian|north|cable|54|shipped
1981|juno|west|cable|15|shipped
1908|ionic|west|gasket|90|shipped
1843|birch|north|cable|44|held
1465|ember|east|panel|12|held
1891|acme|south|cable|92|held
1341|dorian|east|rotor|10|held
1686|juno|north|sensor|91|held
1983|ionic|east|valve|99|held
2071|dorian|west|frame|35|shipped
1411|ember|west|cable|17|paid
2007|birch|south|gasket|25|pending
1712|harbor|west|frame|94|pending
1706|acme|west|sensor|64|held
1769|gale|north|gasket|55|paid
1950|gale|south|sensor|47|shipped
1719|gale|south|cable|61|shipped
1557|birch|north|frame|57|pending
2019|cobalt|south|valve|97|paid
1807|birch|north|valve|65|paid
1964|ember|east|sensor|27|held
1564|juno|east|valve|36|pending
1354|dorian|east|sensor|54|shipped
1600|fulton|east|valve|99|shipped
1543|dorian|east|rotor|42|paid
1876|dorian|east|valve|82|paid
1711|fulton|north|gasket|70|shipped
1420|harbor|south|rotor|79|pending
1459|ionic|west|frame|63|paid
1446|dorian|south|rotor|65|pending
1575|fulton|west|sensor|68|shipped
1392|harbor|north|sensor|12|pending
1928|birch|west|valve|89|paid
1537|ionic|east|pump|38|paid
1406|ember|east|sensor|58|pending
1757|birch|south|cable|29|held
1435|acme|east|sensor|24|held
1498|gale|east|panel|80|shipped
1522|cobalt|north|valve|19|paid
1918|fulton|east|rotor|76|held
1818|dorian|west|sensor|17|shipped
2104|juno|north|cable|31|held
2082|dorian|north|gasket|72|held
1717|dorian|south|valve|96|shipped
1440|cobalt|south|gasket|48|held
1850|gale|north|pump|68|shipped
1738|ember|south|pump|64|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "restock",
"args": {
"item": "pump",
"qty": 67
}
},
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 74
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1371
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1609
}
},
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 62
}
},
{
"tool": "restock",
"args": {
"item": "sensor",
"qty": 46
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1342
}
},
{
"tool": "cancel_order",
"args": {
"order_id": 1489
}
}
]wrongagentic.tools.deploy-v1conf 100% · 233ms · $0.000 · 96 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: reports
- billing: (none)
- notifier: billing
- reports: notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.ledger-v1conf 100% · 266ms · $0.000 · 175 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $683
- oscar: $756
- echo: $587
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $269 from "echo" to "lima"
2. pay $569 from "oscar" to "echo"
3. pay $574 from "lima" to "oscar"
4. pay $539 from "lima" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "lima",
"amount": 269
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "echo",
"amount": 569
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "oscar",
"amount": 574
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "echo",
"amount": 539
}
}
]wrongagentic.tools.triage-v1conf 100% · 287ms · $0.000 · 272 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → okafor
- auth → rivera
- infra → tanaka
INCIDENTS:
1. "refund double-charged" (category: payments, priority 8)
2. "locked out after 2FA change" (category: auth, priority 7)
3. "locked out after 2FA change" (category: auth, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.context-load-v1conf 100% · 459ms · $0.001 · 184 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (287 records, format: id|customer|region|item|qty|status):
```
2467|harbor|west|pump|27|pending
2129|juno|east|cable|22|shipped
2026|cobalt|north|frame|10|shipped
2412|cobalt|east|sensor|57|paid
1821|harbor|south|gasket|52|held
2074|ember|south|panel|71|pending
1478|cobalt|east|rotor|72|pending
1683|birch|east|frame|87|paid
1547|cobalt|south|rotor|31|pending
1724|ionic|north|valve|28|pending
2242|gale|north|cable|40|paid
1874|juno|west|valve|22|pending
1922|gale|east|valve|36|paid
1613|ionic|north|rotor|57|shipped
1916|birch|west|frame|92|held
2324|cobalt|east|rotor|24|shipped
1786|harbor|north|cable|21|paid
1463|cobalt|east|panel|58|pending
2587|birch|east|rotor|41|pending
1973|dorian|north|gasket|35|held
1857|ember|north|valve|76|pending
2570|cobalt|south|pump|17|held
2381|fulton|east|gasket|14|pending
1747|dorian|south|sensor|17|pending
2049|gale|west|sensor|93|pending
1551|gale|north|pump|55|pending
1679|dorian|south|gasket|69|paid
1750|birch|south|valve|42|held
1960|acme|west|sensor|31|held
2197|ember|south|rotor|12|paid
2454|birch|north|gasket|76|paid
2228|acme|east|sensor|58|pending
2204|dorian|north|cable|62|paid
2105|dorian|east|pump|69|paid
1692|juno|north|pump|28|pending
1656|gale|west|rotor|57|held
2214|acme|east|cable|87|shipped
1990|harbor|south|sensor|55|shipped
2220|acme|south|gasket|23|pending
2401|birch|east|cable|45|paid
2140|cobalt|south|panel|78|pending
2293|birch|north|rotor|86|paid
1760|ionic|west|frame|36|paid
1920|ionic|east|cable|40|shipped
1598|birch|east|pump|64|paid
1825|gale|west|sensor|35|held
2088|dorian|east|frame|73|paid
1888|acme|north|cable|22|shipped
1497|cobalt|east|gasket|64|held
2181|fulton|south|valve|83|paid
2600|dorian|north|gasket|51|held
2206|juno|east|cable|51|pending
1912|gale|west|frame|53|held
2273|cobalt|north|rotor|95|held
2527|cobalt|south|cable|20|paid
1689|ember|west|panel|64|pending
1755|ember|west|frame|13|held
1618|ionic|north|valve|68|pending
1881|dorian|east|rotor|62|held
2394|birch|east|frame|66|held
2090|fulton|east|sensor|18|paid
2501|juno|north|frame|65|held
2205|ionic|south|gasket|31|held
1802|dorian|south|frame|52|shipped
1575|juno|north|pump|99|held
2534|birch|south|sensor|65|held
1672|gale|south|sensor|58|shipped
1729|fulton|west|cable|66|held
2064|dorian|north|pump|29|shipped
1768|harbor|east|pump|16|paid
2126|ember|east|valve|69|paid
2426|fulton|north|frame|38|pending
2449|harbor|north|panel|35|held
1514|cobalt|east|rotor|30|pending
1738|acme|south|gasket|38|held
1694|birch|west|frame|23|shipped
1601|ember|west|cable|33|pending
1649|juno|north|pump|75|held
1788|fulton|west|frame|45|paid
2361|ionic|east|rotor|51|shipped
2408|harbor|west|rotor|56|pending
1963|birch|west|gasket|57|pending
2387|cobalt|west|panel|52|pending
1753|dorian|north|sensor|37|held
2036|cobalt|south|gasket|31|pending
1608|gale|south|cable|25|shipped
2368|dorian|north|cable|88|paid
2024|birch|west|sensor|43|pending
2260|ionic|east|panel|41|held
2579|gale|east|sensor|13|held
2226|birch|east|rotor|21|shipped
2248|fulton|east|sensor|19|pending
2062|acme|south|valve|16|held
1840|fulton|north|cable|79|pending
2576|cobalt|south|gasket|42|pending
2147|cobalt|north|gasket|36|held
1875|dorian|north|gasket|71|held
1999|acme|north|valve|93|held
2213|birch|east|panel|27|held
2430|dorian|south|cable|82|paid
1782|harbor|south|sensor|38|pending
1620|dorian|south|gasket|51|pending
2343|ember|north|cable|51|shipped
2055|harbor|west|valve|67|paid
2174|harbor|west|valve|39|held
1527|cobalt|west|frame|32|held
1568|cobalt|east|cable|63|shipped
2425|birch|north|frame|26|shipped
2315|fulton|east|pump|31|pending
1530|dorian|south|valve|15|shipped
2606|dorian|south|frame|88|paid
1560|birch|north|rotor|52|pending
2020|gale|west|rotor|98|paid
2556|cobalt|north|rotor|85|pending
2124|birch|west|frame|99|held
1854|ember|north|rotor|31|held
2505|ember|south|frame|56|pending
1522|cobalt|east|rotor|69|held
1745|birch|north|gasket|86|shipped
2191|gale|south|sensor|82|paid
2591|juno|west|pump|88|pending
1812|acme|west|frame|59|held
1646|fulton|south|frame|93|paid
2372|fulton|east|pump|47|shipped
2347|birch|east|pump|14|pending
1592|ionic|west|panel|39|paid
1946|birch|north|rotor|17|paid
2300|fulton|north|gasket|47|pending
1583|birch|west|frame|33|shipped
1668|dorian|north|panel|49|shipped
2098|harbor|north|cable|31|held
2116|ember|east|gasket|42|pending
1863|ember|north|pump|45|shipped
1602|harbor|north|cable|74|pending
2463|acme|north|panel|89|held
2384|ember|south|valve|85|shipped
2188|dorian|east|cable|12|pending
1905|fulton|east|gasket|84|shipped
2076|cobalt|north|valve|28|shipped
2164|gale|east|cable|83|held
1587|gale|west|cable|97|pending
1983|birch|east|valve|56|paid
1707|ember|west|rotor|91|paid
1680|cobalt|east|rotor|53|paid
1629|harbor|north|sensor|36|shipped
2439|ionic|west|panel|10|shipped
2417|ember|east|panel|64|pending
1778|fulton|south|valve|38|paid
1951|dorian|south|pump|55|held
2171|birch|north|gasket|92|shipped
1794|harbor|south|pump|29|held
1540|cobalt|west|rotor|18|held
1955|acme|south|panel|83|shipped
2182|cobalt|west|gasket|93|pending
2287|birch|north|sensor|35|paid
2027|birch|south|rotor|38|held
1499|cobalt|east|gasket|67|pending
2421|ionic|north|rotor|61|pending
1503|cobalt|north|pump|95|pending
1566|juno|south|gasket|32|held
2107|birch|north|frame|44|paid
1539|ember|south|cable|74|pending
2035|juno|east|sensor|28|paid
2121|gale|south|valve|61|held
2569|ionic|north|cable|54|shipped
1520|cobalt|south|valve|98|pending
1826|ionic|west|gasket|33|held
2178|fulton|north|sensor|36|held
1491|cobalt|south|valve|11|pending
1632|ember|north|valve|61|paid
1664|harbor|north|sensor|95|shipped
1833|birch|east|pump|33|paid
1597|dorian|east|valve|19|pending
1795|ember|north|panel|53|held
2596|fulton|east|frame|61|shipped
2308|juno|east|panel|39|held
2306|acme|west|gasket|63|shipped
2131|cobalt|west|pump|42|pending
2077|acme|south|gasket|26|shipped
2516|ember|north|valve|76|pending
2441|ember|north|frame|98|shipped
1808|ember|west|gasket|42|pending
1895|cobalt|east|rotor|76|pending
1687|cobalt|west|rotor|94|held
1486|cobalt|east|cable|76|paid
2444|fulton|west|panel|59|pending
2488|gale|west|rotor|49|shipped
1968|ionic|east|cable|69|shipped
1775|dorian|south|cable|36|pending
1936|gale|south|rotor|36|shipped
2523|acme|south|valve|50|paid
2003|dorian|east|frame|67|held
1927|juno|south|pump|95|paid
2029|cobalt|north|sensor|53|paid
2612|acme|west|gasket|13|pending
2041|juno|south|valve|34|paid
2168|harbor|west|rotor|66|held
2067|harbor|south|frame|21|shipped
2058|cobalt|north|rotor|19|shipped
2580|fulton|west|sensor|70|shipped
2326|ionic|east|gasket|26|paid
1659|dorian|east|sensor|71|shipped
1869|ionic|north|sensor|66|held
1877|ionic|north|valve|30|pending
2595|gale|west|sensor|28|pending
1555|ember|west|frame|63|shipped
1941|ionic|west|rotor|64|shipped
2161|juno|north|pump|48|held
1490|cobalt|east|frame|28|pending
2009|harbor|north|gasket|19|paid
2304|birch|west|panel|41|paid
2083|ionic|north|gasket|48|paid
2280|dorian|south|valve|76|shipped
1878|ember|south|cable|90|pending
2565|ionic|west|cable|58|shipped
2477|fulton|south|pump|68|paid
2042|dorian|east|pump|93|pending
1796|dorian|north|pump|30|held
2253|ionic|south|cable|15|held
2598|harbor|west|valve|90|paid
1847|ionic|east|rotor|90|paid
2378|fulton|east|pump|37|pending
2333|ember|east|sensor|48|held
2267|acme|east|frame|35|held
1733|gale|west|valve|61|paid
2437|juno|east|cable|66|shipped
1752|dorian|west|valve|50|pending
2330|fulton|north|cable|40|pending
1815|ionic|north|valve|19|paid
2320|gale|west|panel|54|held
2047|fulton|east|valve|70|paid
2094|juno|west|sensor|22|held
1563|ionic|west|frame|81|shipped
2154|dorian|south|panel|57|paid
2071|gale|south|valve|50|shipped
1470|cobalt|north|cable|38|pending
1479|cobalt|south|rotor|72|pending
1578|ionic|east|sensor|36|held
2567|ember|east|panel|14|shipped
1642|fulton|south|valve|55|shipped
2141|ionic|south|gasket|89|shipped
1934|cobalt|north|pump|19|held
2310|juno|west|gasket|78|paid
2460|ember|east|cable|10|held
2137|dorian|east|cable|69|held
1700|dorian|south|cable|34|pending
2235|acme|west|cable|32|pending
1535|cobalt|south|gasket|18|shipped
2549|dorian|south|valve|82|held
2266|harbor|south|sensor|19|pending
2453|birch|south|valve|59|pending
2531|dorian|north|frame|66|paid
2299|juno|west|panel|49|held
2269|birch|north|pump|29|pending
2543|juno|south|frame|64|paid
1593|acme|north|pump|55|paid
2407|dorian|south|pump|58|held
1507|cobalt|east|pump|33|shipped
2541|gale|west|frame|58|held
2016|juno|east|gasket|17|held
2352|acme|east|cable|71|paid
2471|fulton|west|valve|35|pending
1596|birch|east|frame|39|pending
2207|fulton|south|gasket|61|shipped
1761|cobalt|west|gasket|57|paid
2111|fulton|south|gasket|63|shipped
1627|gale|west|sensor|31|shipped
2357|cobalt|north|gasket|60|paid
2509|cobalt|west|pump|19|paid
1713|ionic|west|pump|62|paid
1957|fulton|south|gasket|96|paid
2252|ionic|west|frame|18|paid
1475|cobalt|east|pump|82|paid
1645|juno|east|sensor|15|pending
2278|birch|north|rotor|63|shipped
2338|ember|west|sensor|47|pending
1979|harbor|west|pump|26|pending
2560|fulton|east|gasket|11|shipped
1898|birch|east|sensor|29|held
1993|ember|south|sensor|81|pending
1913|fulton|east|pump|59|paid
1636|cobalt|south|gasket|62|pending
2483|birch|west|panel|88|paid
2495|acme|east|valve|95|shipped
2610|dorian|west|frame|46|shipped
2420|acme|north|sensor|70|held
1720|gale|west|rotor|37|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 72
}
},
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 72
}
},
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 76
}
},
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 72
}
},
{
"tool": "restock",
"args": {
"item": "rotor",
"qty": 76
}
}
]correctagentic.tools.deploy-v1conf 100% · 330ms · $0.000 · 140 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: billing
- search: billing, gateway
- gateway: (none)
- billing: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "deploy",
"args": {
"service": "gateway"
}
},
{
"tool": "deploy",
"args": {
"service": "billing"
}
},
{
"tool": "deploy",
"args": {
"service": "reports"
}
},
{
"tool": "health_check",
"args": {
"service": "reports"
}
},
{
"tool": "deploy",
"args": {
"service": "search"
}
}
]wrongagentic.tools.ledger-v1conf 100% · 262ms · $0.000 · 246 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $630
- tango: $177
- lima: $430
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $571 from "tango" to "delta"
2. pay $268 from "delta" to "lima"
3. pay $222 from "tango" to "delta"
4. pay $264 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 394
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "delta",
"amount": 571
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 268
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "tango",
"amount": 45
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "delta",
"amount": 222
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "lima",
"amount": 264
}
}
]wrongagentic.tools.triage-v1conf 100% · 268ms · $0.000 · 263 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → dubois
- data → tanaka
- auth → chen
INCIDENTS:
1. "API latency spikes" (category: infra, priority 9)
2. "export file corrupted" (category: data, priority 7)
3. "export file corrupted" (category: data, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.context-load-v1anchorconf 100% · 417ms · $0.000 · 152 tok
model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "restock", "args": {"item": "rotor", "qty": 97}},
{"tool": "restock", "args": {"item": "gasket", "qty": 95}},
{"tool": "restock", "args": {"item": "frame", "qty": 90}}
]wrongagentic.tools.triage-v1anchorconf 100% · 2.2s · $0.000 · 337 tok
model answer:
(none extracted)wrongagentic.tools.ledger-v1anchorconf 100% · 2.2s · $0.000 · 285 tok
model answer:
[
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 134
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 451
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "delta",
"amount": 292
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "tango",
"amount": 97
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "delta",
"amount": 223
}
},
{
"tool": "transfer",
"args": {
"from": "delta",
"to": "bravo",
"amount": 540
}
},
{
"tool": "transfer",
"args": {
"from": "tango",
"to": "bravo",
"amount": 125
}
}
]wrongagentic.tools.deploy-v1anchorconf 100% · 260ms · $0.000 · 96 tok
model answer:
(none extracted)code 10/30 correct
correctcode.trace.js-v1conf 100% · 235ms · $0.000 · 157 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 4) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
300wrongcode.trace.python-v1conf 100% · 222ms · $0.000 · 326 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 1
while total + v <= 96:
if v % 4 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
540wrongcode.trace.nested-v1conf 100% · 292ms · $0.000 · 190 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
220wrongcode.trace.nested-v1conf 100% · 254ms · $0.000 · 506 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
205correctcode.trace.js-v1conf 100% · 249ms · $0.000 · 156 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 3) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60wrongcode.trace.nested-v1conf 100% · 361ms · $0.000 · 384 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
299correctcode.trace.python-v1conf 100% · 477ms · $0.000 · 268 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 14
while total + v <= 91:
if v % 4 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
66correctcode.trace.js-v1conf 100% · 241ms · $0.000 · 180 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 2) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
114wrongcode.trace.python-v1conf 100% · 377ms · $0.000 · 13 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 14
while total + v <= 85:
if v % 5 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
85correctcode.trace.js-v1conf 100% · 302ms · $0.000 · 148 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 3) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90wrongcode.trace.python-v1conf 100% · 2.3s · $0.000 · 193 tok
question
What does this Python program print?
```python
total = 0
v = 9
while total + v <= 92:
if v % 3 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
78wrongcode.trace.nested-v1conf 100% · 298ms · $0.000 · 13 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
85wrongcode.trace.js-v1conf 100% · 228ms · $0.000 · 178 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; const out = arr .map(n => n * 4) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
590wrongcode.trace.python-v1conf 100% · 270ms · $0.000 · 281 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 6
while total + v <= 79:
if v % 3 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
60wrongcode.trace.nested-v1conf 100% · 239ms · $0.000 · 190 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
240wrongcode.trace.nested-v1conf 100% · 251ms · $0.000 · 439 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
228wrongcode.trace.js-v1conf 100% · 262ms · $0.000 · 135 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60wrongcode.trace.nested-v1conf 100% · 231ms · $0.000 · 445 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 8):
if j == 5 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
273wrongcode.trace.python-v1conf 100% · 249ms · $0.000 · 13 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 6
while total + v <= 63:
if v % 4 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
45correctcode.trace.js-v1conf 100% · 215ms · $0.000 · 165 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 4) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
72wrongcode.trace.nested-v1conf 100% · 218ms · $0.000 · 277 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
240correctcode.trace.js-v1conf 100% · 228ms · $0.000 · 161 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 4) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
280wrongcode.trace.python-v1conf 100% · 294ms · $0.000 · 13 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 2
while total + v <= 83:
if v % 4 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.python-v1conf 100% · 286ms · $0.000 · 285 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 15
while total + v <= 70:
if v % 6 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
66correctcode.trace.js-v1conf 100% · 227ms · $0.000 · 120 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84wrongcode.trace.nested-v1anchorconf 100% · 245ms · $0.000 · 436 tok
model answer:
257wrongcode.trace.nested-v1conf 100% · 231ms · $0.000 · 13 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
85wrongcode.trace.python-v1anchorconf 100% · 285ms · $0.000 · 13 tok
model answer:
66wrongcode.trace.python-v1anchorconf 100% · 259ms · $0.000 · 276 tok
model answer:
66correctcode.trace.js-v1anchorconf 100% · 227ms · $0.000 · 139 tok
model answer:
63instruction following 13/30 correct
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "falcon" and the last word must be "prism". 3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.constraints.stack-v1conf 100% · 231ms · $0.000 · 40 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "echo" and the last word must be "quartz". 3. Use the word "flint" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo, flint gears grind, flint sparks fly, quartz.correctif.format.acronym-v1conf 100% · 236ms · $0.000 · 14 tok
question
Take the first letter of each of these words, in order: nova, delta, drift, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NDDOwrongif.constraints.stack-v1conf 100% · 468ms · $0.000 · 58 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "tundra" and the last word must be "zephyr". 3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra, where old machines drift. their gears rust, yet still drift. a zephyr whispers through.correctif.format.repeat-v1conf 100% · 457ms · $0.000 · 37 tok
question
Write the word "basalt" in capitalized form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
BASALT-BASALT-BASALT-BASALT-BASALT-BASALT-BASALT-BASALT-BASALTcorrectif.format.acronym-v1conf 100% · 227ms · $0.000 · 14 tok
question
Take the first letter of each of these words, in order: drift, tundra, prism, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DTPBcorrectif.format.repeat-v1conf 100% · 234ms · $0.000 · 32 tok
question
Write the word "comet" in uppercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
COMET-COMET-COMET-COMET-COMETcorrectif.format.repeat-v1conf 100% · 787ms · $0.000 · 59 tok
question
Write the word "cedar" in capitalized form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDAR-CEDARwrongif.format.acronym-v1conf 100% · 279ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: quartz, comet, orbit, echo, flint, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QCOBEFwrongif.constraints.stack-v1conf — · 228ms · $0.000 · 23 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "lumen" and the last word must be "falcon". 3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.format.acronym-v1conf 100% · 236ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: delta, zephyr, comet, basalt, flint, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZCBEFEcorrectif.format.repeat-v1conf 100% · 219ms · $0.000 · 47 tok
question
Write the word "prism" in lowercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism-prism-prism-prism-prism-prism-prism-prism-prismwrongif.constraints.stack-v1conf — · 235ms · $0.000 · 17 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "zephyr" and the last word must be "comet". 3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.repeat-v1conf 100% · 239ms · $0.000 · 59 tok
question
Write the word "cedar" in capitalized form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDARwrongif.format.acronym-v1conf 100% · 258ms · $0.000 · 14 tok
question
Take the first letter of each of these words, in order: flint, lumen, falcon, ember, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FLFEFOwrongif.constraints.stack-v1conf — · 334ms · $0.000 · 21 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "echo" and the last word must be "comet". 3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.format.acronym-v1conf 100% · 235ms · $0.000 · 14 tok
question
Take the second letter of each of these words, in order: cedar, ember, delta, tundra, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EEDTDwrongif.constraints.stack-v1conf 100% · 430ms · $0.000 · 56 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "prism" and the last word must be "quartz". 3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism lights refract through cedar, casting amber glows on quartz. cedar shadows dance, quartz gleams.correctif.format.repeat-v1conf 100% · 685ms · $0.000 · 30 tok
question
Write the word "tundra" in uppercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
TUNDRA/TUNDRA/TUNDRAwrongif.format.acronym-v1conf 100% · 216ms · $0.000 · 13 tok
question
Take the second letter of each of these words, in order: flint, orbit, nova, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NNTcorrectif.format.repeat-v1conf 100% · 235ms · $0.000 · 40 tok
question
Write the word "flint" in lowercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint/flint/flint/flint/flint/flint/flintwrongif.constraints.stack-v1conf 100% · 227ms · $0.000 · 44 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "quartz" and the last word must be "zephyr". 3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz cedar journeyed far, cedar crossed lands, quartz met zephyr.wrongif.format.acronym-v1conf 100% · 251ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: nova, basalt, drift, echo, quartz, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VDQFcorrectif.format.repeat-v1conf 100% · 251ms · $0.000 · 34 tok
question
Write the word "orbit" in lowercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit_orbit_orbit_orbit_orbit_orbitwrongif.constraints.stack-v1conf 100% · 231ms · $0.000 · 26 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "ember" and the last word must be "comet". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember basalt machine, old basalt relic, basalt core, comet.correctif.format.repeat-v1anchorconf 100% · 231ms · $0.000 · 44 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOwrongif.format.acronym-v1conf 100% · 225ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: comet, tundra, orbit, delta, basalt, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
TOTBDCwrongif.constraints.stack-v1anchorconf — · 377ms · $0.000 · 35 tok
model answer:
(none extracted)correctif.format.repeat-v1anchorconf 100% · 261ms · $0.000 · 60 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 216ms · $0.000 · 14 tok
model answer:
ZDFQknowledge 15/30 correct
correctknowledge.fr.factbank-v2conf — · 218ms · $0.000 · 14 tok
question
What is the author of "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovwrongknowledge.fr.factbank-v2conf — · 234ms · $0.000 · 11 tok
question
Identify the Canadian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 223ms · $0.000 · 16 tok
question
Name the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 360ms · $0.000 · 12 tok
question
Identify the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurywrongknowledge.fr.factbank-v2conf — · 227ms · $0.000 · 13 tok
question
Identify the Burmese capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongknowledge.fr.factbank-v2conf — · 212ms · $0.000 · 10 tok
question
What is the capital of Nigeria? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongknowledge.fr.factbank-v2conf — · 218ms · $0.000 · 11 tok
question
Name the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 226ms · $0.000 · 12 tok
question
Identify the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tinwrongknowledge.fr.factbank-v2conf 100% · 229ms · $0.000 · 10 tok
question
Identify the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongknowledge.fr.factbank-v2conf 100% · 246ms · $0.000 · 10 tok
question
What is the Australian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongknowledge.fr.factbank-v2conf — · 235ms · $0.000 · 10 tok
question
What is the capital of Nigeria? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongknowledge.fr.factbank-v2conf — · 254ms · $0.000 · 10 tok
question
Identify the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 265ms · $0.000 · 14 tok
question
Identify the chemical element with symbol W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstenwrongknowledge.fr.factbank-v2conf — · 269ms · $0.000 · 13 tok
question
What is the Burmese capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 252ms · $0.000 · 17 tok
question
What is the writer of the novel "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 721ms · $0.000 · 13 tok
question
Identify the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanawrongknowledge.fr.factbank-v2conf — · 240ms · $0.000 · 13 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongknowledge.fr.factbank-v2conf — · 216ms · $0.000 · 11 tok
question
Identify the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 248ms · $0.000 · 12 tok
question
Identify the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurywrongknowledge.fr.factbank-v2conf 100% · 221ms · $0.000 · 10 tok
question
Name the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 232ms · $0.000 · 14 tok
question
What is the element whose symbol is W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstenwrongknowledge.fr.factbank-v2conf — · 229ms · $0.000 · 11 tok
question
Identify the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 250ms · $0.000 · 14 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovwrongknowledge.fr.factbank-v2conf 100% · 229ms · $0.000 · 10 tok
question
Identify the chemical element with symbol Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 399ms · $0.000 · 12 tok
question
Name the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 261ms · $0.000 · 17 tok
question
Name the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2anchorconf 100% · 234ms · $0.000 · 12 tok
model answer:
Mercurywrongknowledge.fr.factbank-v2anchorconf 100% · 259ms · $0.000 · 11 tok
model answer:
(none extracted)correctknowledge.fr.factbank-v2anchorconf 100% · 254ms · $0.000 · 13 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 243ms · $0.000 · 12 tok
model answer:
Leadmath 18/30 correct
wrongmath.counterfactual.base-v1conf 100% · 340ms · $0.000 · 357 tok
question
Work strictly in base 7. Multiply the base-7 numbers 121 and 136. Give the result IN BASE 7. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
20123correctmath.chained.pipeline-v1conf 100% · 249ms · $0.000 · 144 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 71 × 16. Step 2: Q = P × 7 − 278. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2558correctmath.algebra.system-v2conf 100% · 260ms · $0.000 · 269 tok
question
Solve the system, then answer the derived question. 6x + 4y = -114 2x − 3y = -77 What is the value of 2x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-104wrongmath.percent.chain-v2conf 100% · 246ms · $0.000 · 129 tok
question
An inventory starts at 99000 units. The warehouse was painted 113 years ago. In the first month the inventory grows by 34%. Each pallet weighs about 104 grams more when wet. The next month it shrinks by 20%, and the month after it grows by 43%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
151703.04wrongmath.counterfactual.base-v1conf 100% · 247ms · $0.000 · 501 tok
question
Work strictly in base 7. Multiply the base-7 numbers 132 and 123. Give the result IN BASE 7. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
16601correctmath.arith.chain-v2conf 100% · 264ms · $0.000 · 169 tok
question
Work out the exact value of this expression. (((40 × 96 − 841) × 7 + 6576) − 71 × 68) × 7 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
159187correctmath.chained.pipeline-v1conf 100% · 266ms · $0.000 · 144 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 19 × 57. Step 2: Q = P × 9 − 374. Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1339wrongmath.percent.chain-v2conf 100% · 242ms · $0.000 · 135 tok
question
An inventory starts at 80000 units. The company was founded 68 kilometers from the port. In the first month the inventory grows by 16%. A rival firm shipped 140 unrelated parcels the same week. The next month it shrinks by 41%, and the month after it grows by 28%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
70062.56correctmath.algebra.system-v2conf 100% · 280ms · $0.000 · 191 tok
question
Solve the system, then answer the derived question. 4x + 5y = -6 4x − 4y = -24 What is the value of 4x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-26correctmath.arith.chain-v2conf 100% · 282ms · $0.000 · 176 tok
question
Evaluate the expression below and give the result. (((94 × 28 − 978) × 3 + 9322) − 98 × 49) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
28446correctmath.chained.pipeline-v1conf 100% · 246ms · $0.000 · 152 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 34 × 70. Step 2: Q = P × 9 − 120. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2372wrongmath.counterfactual.base-v1conf 100% · 241ms · $0.000 · 172 tok
question
Work strictly in base 9. Multiply the base-9 numbers 84 and 108. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
10008correctmath.algebra.system-v2conf 100% · 255ms · $0.000 · 246 tok
question
Solve the system, then answer the derived question. 4x + 5y = 77 7x − 3y = -300 What is the value of 6x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-310wrongmath.percent.chain-v2conf 100% · 256ms · $0.000 · 16 tok
question
An inventory starts at 73000 units. The warehouse was painted 91 years ago. In the first month the inventory grows by 27%. A rival firm shipped 149 unrelated parcels the same week. The next month it shrinks by 20%, and the month after it grows by 38%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
73000.00correctmath.arith.chain-v2conf 100% · 294ms · $0.000 · 192 tok
question
Compute the value of the following expression. (((73 × 46 − 767) × 8 + 6941) − 23 × 69) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
52164wrongmath.counterfactual.base-v1conf 100% · 247ms · $0.000 · 230 tok
question
Work strictly in base 8. Multiply the base-8 numbers 71 and 22. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1010correctmath.chained.pipeline-v1conf 100% · 220ms · $0.000 · 153 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 25 × 24. Step 2: Q = P × 8 − 870. Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
493correctmath.algebra.system-v2conf 100% · 214ms · $0.000 · 295 tok
question
Solve the system, then answer the derived question. 7x + 8y = -323 9x − 9y = 279 What is the value of 4x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
124wrongmath.percent.chain-v2conf 100% · 258ms · $0.000 · 129 tok
question
An inventory starts at 65000 units. The delivery van has a 178-liter fuel tank. In the first month the inventory grows by 21%. The company was founded 136 kilometers from the port. The next month it shrinks by 28%, and the month after it grows by 19%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
67327.32correctmath.arith.chain-v2conf 100% · 241ms · $0.000 · 160 tok
question
Evaluate the expression below and give the result. (((50 × 63 − 284) × 8 + 7338) − 61 × 70) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
77988wrongmath.counterfactual.base-v1conf 100% · 245ms · $0.000 · 269 tok
question
Work strictly in base 13. Add the base-13 numbers 700 and 1070. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1756correctmath.chained.pipeline-v1conf 100% · 276ms · $0.000 · 137 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 30 × 33. Step 2: Q = P × 3 − 950. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
505correctmath.algebra.system-v2conf 100% · 237ms · $0.000 · 206 tok
question
Solve the system, then answer the derived question. 6x + 9y = -138 3x − 8y = 106 What is the value of 2x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
38wrongmath.percent.chain-v2conf 100% · 238ms · $0.000 · 120 tok
question
An inventory starts at 25000 units. A rival firm shipped 48 unrelated parcels the same week. In the first month the inventory grows by 43%. The warehouse was painted 109 years ago. The next month it shrinks by 45%, and the month after it grows by 16%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
22798.5correctmath.arith.chain-v2conf 100% · 214ms · $0.000 · 192 tok
question
Compute the value of the following expression. (((89 × 25 − 266) × 8 + 4118) − 51 × 41) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
35398wrongmath.counterfactual.base-v1anchorconf 100% · 647ms · $0.000 · 302 tok
model answer:
1266correctmath.chained.pipeline-v1conf 100% · 237ms · $0.000 · 137 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 57 × 12. Step 2: Q = P × 3 − 849. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
203wrongmath.percent.chain-v2anchorconf 100% · 230ms · $0.000 · 16 tok
model answer:
53000.00correctmath.algebra.system-v2anchorconf 100% · 249ms · $0.000 · 248 tok
model answer:
87correctmath.arith.chain-v2anchorconf 100% · 271ms · $0.000 · 197 tok
model answer:
108153multilingual 2/30 correct
wrongmultilingual.numword-v2conf 100% · 703ms · $0.000 · 15 tok
question
Compute 473 + 330, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
setecientos treswrongmultilingual.wordnum-v1conf 100% · 215ms · $0.000 · 13 tok
question
A number is written in French: « cent quatre-vingt-douze ». Another is written in Spanish: « trescientos noventa y dos ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
492wrongmultilingual.wordnum-v1conf 100% · 252ms · $0.000 · 13 tok
question
A number is written in French: « neuf cent soixante-dix ». Another is written in Spanish: « quinientos diez ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
580wrongmultilingual.numword-v2conf — · 246ms · $0.000 · 8 tok
question
Compute 301 + 422, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 230ms · $0.000 · 13 tok
question
A number is written in French: « cent vingt-cinq ». Another is written in Spanish: « seiscientos setenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
895wrongmultilingual.numword-v2conf — · 235ms · $0.000 · 8 tok
question
Compute 239 + 443, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 218ms · $0.000 · 13 tok
question
A number is written in French: « cent quarante et un ». Another is written in Spanish: « novecientos veintinueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
970wrongmultilingual.numword-v2conf — · 256ms · $0.000 · 8 tok
question
Compute 443 + 223, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 565ms · $0.000 · 13 tok
question
A number is written in French: « cent trente ». Another is written in Spanish: « ciento cincuenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
78wrongmultilingual.numword-v2conf — · 688ms · $0.000 · 8 tok
question
Compute 75 + 290, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 402ms · $0.000 · 13 tok
question
A number is written in French: « neuf cent cinquante-cinq ». Another is written in Spanish: « ochocientos veintiuno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
954wrongmultilingual.numword-v2conf — · 255ms · $0.000 · 9 tok
question
Compute 453 + 318, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 237ms · $0.000 · 13 tok
question
A number is written in French: « quatre-vingt-dix-sept ». Another is written in Spanish: « seiscientos veinticuatro ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-534wrongmultilingual.numword-v2conf — · 306ms · $0.000 · 9 tok
question
Compute 370 + 308, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 219ms · $0.000 · 13 tok
question
A number is written in French: « quatre cent vingt-six ». Another is written in Spanish: « quinientos cincuenta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-431wrongmultilingual.numword-v2conf — · 230ms · $0.000 · 13 tok
question
Compute 54 + 62, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 238ms · $0.000 · 13 tok
question
A number is written in French: « huit cent huit ». Another is written in Spanish: « novecientos ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
908wrongmultilingual.wordnum-v1conf 100% · 264ms · $0.000 · 13 tok
question
A number is written in French: « sept cent huit ». Another is written in Spanish: « doscientos cincuenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
863wrongmultilingual.numword-v2conf — · 217ms · $0.000 · 8 tok
question
Compute 404 + 228, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.numword-v2conf — · 226ms · $0.000 · 7 tok
question
Compute 187 + 148, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctmultilingual.wordnum-v1conf 100% · 223ms · $0.000 · 13 tok
question
A number is written in French: « cent vingt-quatre ». Another is written in Spanish: « sesenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
189correctmultilingual.numword-v2conf 100% · 254ms · $0.000 · 15 tok
question
Compute 104 + 297, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos unowrongmultilingual.wordnum-v1conf 100% · 257ms · $0.000 · 13 tok
question
A number is written in French: « trois cent trente-deux ». Another is written in Spanish: « setecientos treinta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
368wrongmultilingual.numword-v2conf 100% · 244ms · $0.000 · 16 tok
question
Compute 390 + 151, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf 100% · 235ms · $0.000 · 13 tok
question
A number is written in French: « cinq cent quarante-huit ». Another is written in Spanish: « ciento trece ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
427wrongmultilingual.numword-v2conf — · 240ms · $0.000 · 5 tok
question
Compute 154 + 366, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1anchorconf 100% · 256ms · $0.000 · 13 tok
model answer:
145wrongmultilingual.numword-v2anchorconf 100% · 260ms · $0.000 · 20 tok
model answer:
huit cent quatre-vingt-dixwrongmultilingual.wordnum-v1anchorconf 100% · 220ms · $0.000 · 13 tok
model answer:
657wrongmultilingual.numword-v2anchorconf — · 236ms · $0.000 · 6 tok
model answer:
(none extracted)reasoning 15/30 correct
correctreasoning.deduction.position-v1conf — · 239ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 3 in the queue. Sami is directly ahead of Kira. Kira is directly ahead of Liam. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samiwrongreasoning.deduction.order-v2conf 100% · 275ms · $0.000 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Mona. Sami is taller than Kira. Quinn is faster than everyone here, but Quinn is not being ranked. Priya is taller than Mona. Hana is taller than Ola. Mona is taller than Kira. Ola is taller than Mona. Mona is taller than Jonas. Jonas is taller than Sami. Ola is taller than Priya. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1conf — · 225ms · $0.000 · 12 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Mona. Mona is number 3 in the queue. Sami is directly ahead of Tessa. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monawrongreasoning.deduction.order-v2conf 100% · 230ms · $0.000 · 12 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Emil. Priya is faster than Tessa. Hana is faster than Chen. Sami is faster than Priya. Goran is faster than Sami. Sami is faster than Chen. Tessa is faster than Chen. Liam is heavier than everyone here, but Liam is not being ranked. Hana is faster than Tessa. Hana is faster than Goran. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Ines. Farah is older than Bruno. Alice is faster than everyone here, but Alice is not being ranked. Emil is older than Bruno. Nadir is older than Bruno. Ola is older than Farah. Nadir is older than Emil. Quinn is older than Nadir. Ines is older than Quinn. Quinn is older than Bruno. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Inescorrectreasoning.deduction.position-v1conf 100% · 236ms · $0.000 · 79 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Alice. Farah is directly ahead of Priya. Alice is number 2 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyawrongreasoning.deduction.position-v1conf — · 224ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Farah. Farah is directly ahead of Kira. Kira is number 4 in the queue. Priya is directly ahead of Hana. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyawrongreasoning.deduction.order-v2conf 100% · 239ms · $0.000 · 13 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Kira. Alice is faster than Jonas. Kira is faster than Sami. Rosa is taller than everyone here, but Rosa is not being ranked. Jonas is faster than Ola. Liam is faster than Sami. Sami is faster than Hana. Sami is faster than Alice. Hana is faster than Alice. Hana is faster than Ola. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olawrongreasoning.deduction.position-v1conf 100% · 227ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 3 in the queue. Hana is directly ahead of Bruno. Sami is directly ahead of Hana. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samiwrongreasoning.deduction.order-v2conf 100% · 237ms · $0.000 · 9 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is heavier than Farah. Hana is heavier than Alice. Rosa is heavier than Nadir. Quinn is heavier than Farah. Emil is heavier than Rosa. Alice is heavier than Emil. Tessa is older than everyone here, but Tessa is not being ranked. Quinn is heavier than Hana. Rosa is heavier than Nadir. Farah is heavier than Nadir. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctreasoning.deduction.position-v1conf 100% · 243ms · $0.000 · 12 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Quinn. Bruno is directly ahead of Jonas. Goran is number 1 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.position-v1conf 100% · 232ms · $0.000 · 71 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Jonas. Jonas is number 2 in the queue. Quinn is directly ahead of Chen. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinnwrongreasoning.deduction.order-v2conf 100% · 225ms · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Tessa. Priya is older than Sami. Sami is older than Liam. Ines is older than Jonas. Rosa is heavier than everyone here, but Rosa is not being ranked. Jonas is older than Tessa. Liam is older than Tessa. Sami is older than Mona. Liam is older than Mona. Mona is older than Ines. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessawrongreasoning.deduction.order-v2conf 100% · 242ms · $0.000 · 13 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is faster than Goran. Liam is faster than Quinn. Alice is faster than Goran. Alice is faster than Nadir. Sami is faster than Farah. Goran is faster than Liam. Jonas is older than everyone here, but Jonas is not being ranked. Liam is faster than Sami. Quinn is faster than Sami. Quinn is faster than Farah. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahwrongreasoning.deduction.position-v1conf 100% · 416ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Rosa. Priya is directly ahead of Sami. Sami is number 2 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyawrongreasoning.deduction.order-v2conf 100% · 258ms · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Farah. Sami is older than Nadir. Farah is older than Sami. Farah is older than Mona. Ines is older than Sami. Goran is faster than everyone here, but Goran is not being ranked. Ines is older than Tessa. Tessa is older than Kira. Nadir is older than Mona. Farah is older than Mona. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ineswrongreasoning.deduction.position-v1conf — · 2.2s · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 2 in the queue. Chen is directly ahead of Sami. Farah is directly ahead of Kira. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.order-v2conf 100% · 2.3s · $0.000 · 12 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Bruno is taller than Ines. Emil is taller than Ines. Mona is taller than Alice. Mona is taller than Bruno. Nadir is taller than Emil. Tessa is faster than everyone here, but Tessa is not being ranked. Nadir is taller than Bruno. Bruno is taller than Emil. Alice is taller than Nadir. Liam is taller than Mona. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 230ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 3 in the queue. Emil is directly ahead of Sami. Alice is directly ahead of Emil. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samiwrongreasoning.deduction.order-v2conf 100% · 227ms · $0.000 · 13 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Bruno. Rosa is faster than everyone here, but Rosa is not being ranked. Priya is taller than Sami. Ines is taller than Goran. Farah is taller than Goran. Sami is taller than Goran. Bruno is taller than Farah. Sami is taller than Tessa. Bruno is taller than Goran. Tessa is taller than Ines. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.position-v1conf 100% · 228ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Liam. Liam is directly ahead of Ola. Ola is number 3 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 100% · 233ms · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Nadir is older than Quinn. Chen is faster than everyone here, but Chen is not being ranked. Quinn is older than Hana. Rosa is older than Tessa. Nadir is older than Sami. Nadir is older than Quinn. Dara is older than Rosa. Tessa is older than Nadir. Dara is older than Quinn. Sami is older than Quinn. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.order-v2conf 100% · 245ms · $0.000 · 85 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Liam. Kira is faster than Chen. Liam is faster than Alice. Hana is heavier than everyone here, but Hana is not being ranked. Farah is faster than Liam. Kira is faster than Priya. Chen is faster than Farah. Rosa is faster than Chen. Kira is faster than Rosa. Farah is faster than Priya. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chenwrongreasoning.deduction.position-v1conf 100% · 215ms · $0.000 · 12 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Farah. Farah is directly ahead of Bruno. Bruno is number 3 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.position-v1conf — · 321ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 2 in the queue. Farah is directly ahead of Mona. Ola is directly ahead of Alice. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.order-v2conf 100% · 237ms · $0.000 · 13 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Emil. Kira is older than Farah. Emil is older than Ola. Ola is older than Farah. Nadir is taller than everyone here, but Nadir is not being ranked. Ola is older than Kira. Quinn is older than Ines. Ines is older than Priya. Ola is older than Ines. Priya is older than Kira. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Inescorrectreasoning.deduction.order-v2anchorconf 100% · 224ms · $0.000 · 87 tok
model answer:
Quinnwrongreasoning.deduction.position-v1anchorconf — · 223ms · $0.000 · 13 tok
model answer:
Goranwrongreasoning.deduction.order-v2anchorconf — · 252ms · $0.000 · 16 tok
model answer:
(none extracted)correctreasoning.deduction.position-v1anchorconf — · 251ms · $0.000 · 13 tok
model answer:
Farahterminal 2/30 correct
wrongterminal.fs.tree-v1conf 100% · 225ms · $0.000 · 57 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/src`): ``` /proj/build/draft.txt /proj/build/notes.md /proj/index.log /proj/src/setup.log /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm todo.log cd src mv ../../proj/build/notes.md ../../proj/ mv ../../proj/index.log ../../proj/build/ touch ../../proj/util-5.log mkdir -p ../../proj/build/conf-9 cd ../../proj/build mkdir -p ../../proj/assets/docs-1 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 254ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f ghost.txt && echo C || echo D true && echo E || echo F test -f tmp.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D
E
H
Z
exit:0wrongterminal.pipeline.predict-v1conf 100% · 247ms · $0.000 · 12 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
bo,eng,25,46
ana,ops,66,48
oli,eng,103,18
kim,sales,64,94
jon,hr,117,74
max,hr,91,60
eli,eng,119,38
gus,ops,79,25
ivy,hr,19,36
hal,legal,77,14
ned,legal,34,83
dev,legal,38,68
pam,eng,88,18
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 42 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 259ms · $0.000 · 56 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/build`, `/proj/logs`): ``` /proj/conf/setup.txt /proj/logs/index.md /proj/logs/main.cfg /proj/notes.txt /proj/report.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv logs/index.md logs/index-9.cfg cd conf mv ../../proj/logs/index-9.cfg ../../proj/logs/main-1.md touch ../../proj/build/notes-6.txt rm ../../proj/report.log touch ../../proj/logs/notes-5.cfg mv ../../proj/logs/main-1.md ../../proj/logs/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 229ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D test -f tmp.txt && echo E || echo F false && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D
F
H
Z
exit:0wrongterminal.fs.tree-v1conf 100% · 232ms · $0.000 · 98 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/build`, `/proj/src`): ``` /proj/draft.log /proj/logs/index.md /proj/logs/main.txt /proj/logs/todo.md /proj/report.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch logs/todo-4.log cd . touch logs/main-7.md cd logs mv todo-4.log setup-1.log mkdir -p logs-6 mkdir -p logs-6/assets-4 touch ../../proj/src/main-7.log cp main.txt ../../proj/src/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 236ms · $0.000 · 12 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ana,sales,52,66
gus,legal,81,39
fay,hr,23,16
lou,ops,37,35
bo,legal,120,17
eli,ops,57,66
dev,eng,22,42
kim,hr,120,25
jon,sales,18,92
ned,sales,100,31
ivy,hr,40,95
oli,hr,86,83
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 280ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B test -f tmp.txt && echo C || echo D test -f ghost.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D
B
D
G
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 270ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
jon,sales,74,85
oli,hr,37,20
max,sales,72,48
gus,hr,118,85
pam,eng,70,43
hal,sales,38,73
fay,ops,82,89
ned,eng,116,90
kim,ops,40,66
dev,sales,76,83
eli,sales,25,62
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 50 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
1wrongterminal.exit.chain-v1conf 100% · 277ms · $0.000 · 20 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
C
E
exit:0wrongterminal.pipeline.predict-v1conf 100% · 997ms · $0.000 · 18 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,legal,45,53 max,eng,61,11 ned,eng,42,51 oli,sales,9,21 ana,sales,82,12 lou,hr,89,72 gus,ops,81,58 eli,hr,109,81 bo,sales,22,27 fay,sales,40,16 hal,legal,106,88 ivy,ops,106,47 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 259ms · $0.000 · 51 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/assets`): ``` /proj/assets/notes.cfg /proj/build/todo.md /proj/docs/report.log /proj/setup.cfg /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch draft-8.txt mv draft-8.txt assets/ mkdir -p build/build-2 cd . mv build/todo.md build/report-5.md rm build/report-5.md mkdir -p build/assets-9 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/notes.cfg
/proj/assets/draft-8.txt
/proj/build/assets-9
/proj/docs/report.log
/proj/setup.cfg
/proj/util.mdwrongterminal.fs.tree-v1conf 100% · 264ms · $0.000 · 58 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/conf`): ``` /proj/assets/main.md /proj/assets/todo.md /proj/conf/util.md /proj/draft.log /proj/report.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp report.md assets/ touch logs/todo-8.txt cd assets touch ../../proj/todo-9.log rm ../../proj/todo-9.log mkdir -p ../../proj/logs/assets-2 rm report.md touch report-7.cfg mv report-7.cfg ./ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 255ms · $0.000 · 22 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B false && echo C || echo D test -f tmp.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D
F
Z
exit:0wrongterminal.pipeline.predict-v1conf 100% · 251ms · $0.000 · 12 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,hr,103,70
max,ops,111,14
ned,hr,36,13
pam,eng,26,79
gus,hr,112,13
eli,eng,93,47
cy,hr,93,69
bo,hr,9,98
kim,legal,115,61
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 340ms · $0.000 · 57 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/conf`, `/proj/docs`): ``` /proj/conf/report.md /proj/docs/notes.txt /proj/draft.cfg /proj/logs/todo.log /proj/setup.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm draft.cfg cd conf touch draft-2.md cd ../../proj/docs rm ../../proj/setup.log mv notes.txt notes-5.log touch ../../proj/logs/draft-4.md mkdir -p ../../proj/conf/assets-6 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 262ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f tmp.txt && echo C || echo D test -f tmp.txt && echo E || echo F true && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D
D
G
Z
exit:0wrongterminal.fs.tree-v1conf 100% · 262ms · $0.000 · 64 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/assets`, `/proj/logs`): ``` /proj/assets/main.md /proj/index.txt /proj/logs/notes.txt /proj/logs/setup.txt /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv assets/main.md ./ mv logs/notes.txt logs/index-7.log mkdir -p assets/assets-6 mv logs/setup.txt logs/ rm index.txt cd . mv logs/index-7.log logs/main-8.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 268ms · $0.000 · 18 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` fay,legal,79,86 pam,ops,117,94 ivy,hr,16,19 dev,eng,104,79 ned,legal,90,43 kim,legal,98,65 bo,legal,4,82 cy,ops,110,97 gus,legal,34,93 lou,ops,94,40 eli,eng,34,89 max,ops,87,20 hal,legal,3,33 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 242ms · $0.000 · 20 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D
F
exit:1wrongterminal.fs.tree-v1conf 100% · 654ms · $0.000 · 90 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/docs`): ``` /proj/docs/main.log /proj/docs/notes.log /proj/logs/report.md /proj/setup.txt /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch draft-7.cfg rm logs/report.md mkdir -p logs/build-7 mv docs/main.log logs/build-7/ mkdir -p docs/src-1 cd . touch docs/src-1/setup-6.cfg touch logs/index-9.md cd docs/src-1 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 331ms · $0.000 · 12 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
fay,legal,29,94
oli,eng,57,40
dev,sales,6,26
ana,sales,99,34
pam,hr,14,87
cy,legal,70,89
bo,hr,108,57
jon,sales,117,74
ivy,ops,113,85
eli,ops,55,94
max,legal,35,67
kim,hr,6,42
lou,legal,21,84
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 241ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F true && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
C
E
G
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 236ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
pam,hr,14,12
lou,eng,99,24
oli,eng,64,39
kim,hr,91,12
max,sales,110,87
ned,ops,13,86
dev,sales,84,21
bo,legal,5,99
cy,sales,94,60
ivy,ops,61,13
gus,ops,15,17
hal,hr,62,33
jon,hr,75,31
ana,legal,70,56
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 72 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
1wrongterminal.exit.chain-v1conf 100% · 227ms · $0.000 · 20 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B true && echo C || echo D grep -q basil notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
C
E
exit:0wrongterminal.fs.tree-v1conf 100% · 241ms · $0.000 · 37 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/conf`): ``` /proj/assets/setup.txt /proj/assets/util.md /proj/draft.cfg /proj/logs/index.log /proj/main.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm main.cfg cd logs touch setup-8.log cd . rm ../../proj/assets/setup.txt mv index.log ../../proj/conf/ cp ../../proj/draft.cfg ./ rm ../../proj/draft.cfg touch ../../proj/report-3.cfg rm ../../proj/report-3.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1anchorconf 100% · 248ms · $0.000 · 36 tok
model answer:
cy,eng,115,45
dev,eng,81,95
eli,eng,60,55wrongterminal.fs.tree-v1anchorconf 100% · 575ms · $0.000 · 61 tok
model answer:
(none extracted)wrongterminal.exit.chain-v1anchorconf 100% · 245ms · $0.000 · 24 tok
model answer:
D
E
G
Z
exit:0wrongterminal.pipeline.predict-v1anchorconf 100% · 570ms · $0.000 · 12 tok
model answer:
(none extracted)Run history
- 2026-08-05v0.2.0index_fit342
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