IBM: Granite 4.1 8B

ibm-granite/granite-4.1-8b · ibm-granite · context 131 072 · in $0.050/1M · out $0.100/1M

Global Index

472

95% CI [434–511] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	419 [342–496]	0.227	0.68	0.31	0.000	124ms	$0.070
code	514 [407–621]	0.419	0.77	0.70	0.096	133ms	$0.078
instruction following	331 [247–415]	0.281	0.72	0.55	0.250	120ms	$0.011
knowledge	677 [514–841]	0.520	0.98	0.97	0.038	121ms	$0.005
math	549 [448–649]	0.329	0.87	0.71	0.000	128ms	$0.042
multilingual	501 [366–635]	0.469	0.87	0.83	0.192	123ms	$0.010
reasoning	485 [365–605]	0.443	0.93	0.79	0.269	130ms	$0.031
terminal	301 [267–336]	0.056	0.79	0.00	0.000	121ms	$0.017

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 9/30 correct

TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1conf — · — · — · — 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 (167 records, format: id|customer|region|item|qty|status):
```
1595|ember|east|valve|14|pending
1622|gale|north|sensor|30|shipped
1506|ionic|east|valve|32|held
1782|ember|west|frame|35|held
1406|cobalt|south|pump|81|pending
1912|dorian|south|panel|97|pending
1599|dorian|south|frame|85|shipped
1590|ionic|south|gasket|36|pending
1594|juno|west|rotor|79|pending
1732|gale|south|panel|93|held
1546|acme|west|panel|38|paid
1897|acme|east|panel|78|pending
1626|ionic|north|rotor|36|paid
1478|fulton|north|frame|95|held
1522|dorian|north|pump|45|held
1739|harbor|east|rotor|89|pending
1749|acme|west|pump|79|shipped
1418|cobalt|south|cable|47|pending
1808|harbor|north|panel|25|paid
1441|juno|south|panel|47|shipped
1780|juno|east|panel|57|paid
1724|gale|north|sensor|26|held
1863|ember|north|frame|99|paid
1669|ember|north|panel|74|pending
1841|birch|south|rotor|95|pending
1629|ionic|west|rotor|38|shipped
1583|ember|south|sensor|38|pending
1642|birch|south|gasket|95|paid
1872|gale|south|pump|79|paid
1881|gale|north|pump|31|pending
1978|fulton|east|cable|25|paid
1391|cobalt|east|panel|17|pending
1900|ionic|south|pump|47|held
1992|ember|west|sensor|84|paid
1617|acme|east|gasket|76|paid
1945|dorian|north|pump|93|held
1432|ionic|east|cable|49|pending
1779|fulton|south|frame|75|held
1982|harbor|west|sensor|96|shipped
1499|ember|west|panel|56|held
1462|cobalt|south|rotor|67|pending
1413|cobalt|north|frame|29|pending
2003|acme|north|sensor|87|held
1854|juno|north|gasket|97|held
1999|fulton|north|gasket|14|pending
1657|birch|north|sensor|47|pending
1716|juno|west|sensor|15|paid
1850|harbor|west|panel|41|shipped
1510|cobalt|west|sensor|11|shipped
1801|birch|east|panel|83|paid
1528|juno|west|rotor|50|held
1397|cobalt|north|valve|61|held
1635|birch|west|valve|44|paid
1700|cobalt|west|gasket|12|pending
1938|ember|west|sensor|15|shipped
1828|fulton|east|pump|94|shipped
1550|juno|west|cable|34|pending
1709|ember|east|sensor|69|held
1688|acme|north|valve|61|shipped
1477|ember|west|pump|61|held
1463|acme|east|cable|39|paid
1673|dorian|west|gasket|26|held
2024|dorian|south|pump|26|pending
1767|acme|north|valve|47|pending
1563|ionic|north|valve|34|paid
1684|ember|west|gasket|96|paid
1484|acme|west|rotor|92|held
2006|gale|west|rotor|41|pending
1931|birch|west|pump|90|held
1910|ember|west|panel|69|paid
1437|fulton|west|pump|49|shipped
1798|acme|east|rotor|79|shipped
1361|cobalt|north|gasket|97|pending
1861|harbor|west|valve|77|pending
1966|acme|south|gasket|54|held
1949|fulton|east|gasket|64|shipped
1788|ember|west|valve|42|shipped
1371|cobalt|north|gasket|36|pending
1761|ionic|west|rotor|96|shipped
2020|harbor|west|valve|80|held
1443|juno|south|gasket|32|shipped
1973|dorian|north|valve|47|paid
1535|harbor|south|valve|47|pending
1678|ember|south|panel|78|held
1731|ionic|south|cable|35|held
1830|acme|north|gasket|12|held
1387|cobalt|north|pump|84|pending
1382|cobalt|north|sensor|16|shipped
1952|fulton|north|panel|70|pending
1449|fulton|west|pump|88|held
1919|birch|west|rotor|93|pending
1829|juno|west|pump|19|paid
1877|ember|west|cable|12|held
1702|birch|east|rotor|44|paid
1542|birch|north|sensor|59|paid
2016|fulton|west|rotor|15|shipped
1845|acme|east|panel|41|held
1582|birch|north|panel|64|paid
1560|cobalt|south|gasket|73|paid
1567|birch|north|cable|23|held
1367|cobalt|north|gasket|23|paid
1895|birch|east|cable|51|shipped
1596|cobalt|south|panel|65|pending
1364|cobalt|west|gasket|94|pending
1755|ember|west|frame|26|held
1918|acme|north|panel|34|shipped
1985|gale|south|pump|80|shipped
1554|fulton|north|valve|70|held
1701|harbor|east|panel|31|paid
1953|gale|south|panel|88|paid
1870|juno|east|frame|49|held
1950|ionic|north|gasket|50|paid
2013|cobalt|north|pump|68|shipped
1717|juno|east|frame|86|pending
1743|gale|north|cable|67|pending
1401|cobalt|north|cable|20|pending
1576|fulton|north|panel|25|pending
1422|cobalt|north|frame|57|shipped
1812|ember|west|rotor|81|paid
1746|juno|south|gasket|15|pending
1983|birch|west|valve|94|shipped
1901|fulton|west|panel|87|paid
1643|acme|south|pump|93|held
1774|birch|north|panel|61|held
1837|birch|east|gasket|29|paid
1940|juno|east|panel|41|pending
1411|cobalt|north|pump|27|held
1890|harbor|west|rotor|15|paid
1858|fulton|south|valve|58|shipped
1954|cobalt|west|sensor|10|paid
1693|gale|west|pump|83|paid
1793|ionic|west|cable|13|shipped
1733|acme|west|sensor|46|pending
1662|gale|west|cable|15|shipped
1621|birch|east|pump|35|pending
1627|juno|west|cable|73|pending
1532|harbor|west|frame|52|paid
1470|cobalt|west|panel|78|paid
1425|harbor|west|sensor|86|held
1752|fulton|west|rotor|77|pending
1571|harbor|north|panel|16|paid
1538|juno|north|pump|92|paid
1376|cobalt|south|frame|85|pending
1888|dorian|east|sensor|62|paid
1650|harbor|north|rotor|35|held
1818|dorian|north|cable|52|pending
1605|birch|west|frame|34|shipped
1821|ionic|south|gasket|54|shipped
1475|birch|east|panel|41|shipped
1704|ionic|north|rotor|23|paid
1611|cobalt|west|panel|55|pending
1993|ember|north|rotor|95|paid
1756|cobalt|south|sensor|23|held
1442|acme|east|cable|82|shipped
1455|gale|north|frame|95|paid
1488|dorian|east|gasket|10|pending
1925|dorian|west|pump|46|held
1718|dorian|north|sensor|78|shipped
1511|dorian|east|sensor|29|held
1770|gale|south|rotor|72|shipped
1656|juno|west|gasket|83|held
1671|harbor|east|gasket|37|paid
1959|ember|north|frame|69|pending
1903|gale|west|panel|64|shipped
1725|ember|east|valve|60|shipped
1495|acme|west|rotor|87|pending
1518|cobalt|south|rotor|28|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, 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: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 123ms · $0.000 · 161 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: $762
- bravo: $255
- alpha: $600

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $576 from "bravo" to "oscar"
2. pay $282 from "oscar" to "alpha"
3. pay $355 from "alpha" to "bravo"
4. pay $234 from "alpha" to "bravo"
5. pay $283 from "bravo" 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:

[
  {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 576}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 282}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 355}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 234}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 283}}
]
CONFIDENCE: 100

wrongagentic.tools.context-load-v1conf 100% · 123ms · $0.000 · 350 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):
```
1176|cobalt|east|cable|41|shipped
1059|harbor|north|sensor|82|held
1115|cobalt|east|valve|49|held
1841|ionic|west|frame|96|paid
1192|acme|west|rotor|65|paid
1597|ember|south|sensor|62|held
1120|ionic|south|gasket|38|paid
1560|harbor|east|panel|78|paid
1685|dorian|west|rotor|74|pending
1229|harbor|east|frame|82|pending
1853|dorian|south|panel|29|paid
1596|acme|west|panel|53|held
1416|birch|east|valve|22|shipped
1736|acme|north|valve|60|held
1358|fulton|west|cable|28|shipped
1234|birch|south|panel|71|held
1652|juno|west|pump|55|held
1222|acme|east|frame|88|held
1645|ember|east|gasket|46|shipped
1082|harbor|west|panel|45|pending
1448|dorian|west|frame|28|pending
1100|harbor|east|rotor|72|pending
1454|cobalt|north|sensor|38|held
1372|gale|east|rotor|99|pending
1318|acme|north|rotor|96|shipped
1477|birch|south|sensor|35|pending
1823|fulton|north|frame|19|paid
1756|harbor|east|frame|74|pending
1186|dorian|north|gasket|25|shipped
1803|juno|south|sensor|26|paid
1212|ember|west|pump|77|held
1804|harbor|west|gasket|32|held
1397|cobalt|east|valve|45|paid
1109|fulton|south|cable|70|pending
1350|dorian|north|panel|24|paid
1792|acme|east|gasket|93|paid
1870|birch|south|cable|26|pending
1679|harbor|east|cable|15|held
1461|acme|south|frame|39|held
1434|juno|west|cable|58|held
1683|dorian|west|sensor|91|shipped
1244|ember|north|panel|86|shipped
1291|birch|south|panel|18|paid
1297|birch|south|gasket|86|held
1847|cobalt|west|sensor|97|held
1188|harbor|west|valve|47|paid
1540|fulton|east|cable|68|pending
1207|harbor|east|sensor|66|held
1273|dorian|south|pump|59|pending
1265|cobalt|north|rotor|53|paid
1298|gale|north|sensor|99|shipped
1056|harbor|south|sensor|94|pending
1826|ionic|west|valve|52|held
1107|harbor|north|pump|55|paid
1296|harbor|east|cable|64|held
1591|cobalt|east|valve|93|paid
1531|dorian|north|gasket|82|paid
1867|fulton|west|gasket|33|held
1714|acme|west|rotor|18|held
1667|birch|north|valve|74|shipped
1492|fulton|east|frame|44|pending
1050|harbor|north|pump|47|pending
1490|dorian|west|sensor|86|shipped
1718|harbor|east|frame|87|shipped
1576|harbor|north|cable|98|pending
1124|birch|south|gasket|50|shipped
1292|ionic|north|pump|30|paid
1609|juno|east|rotor|29|held
1623|harbor|west|frame|66|held
1149|ember|south|cable|16|pending
1077|harbor|north|rotor|46|pending
1704|gale|north|rotor|96|shipped
1347|juno|east|pump|52|shipped
1833|birch|north|pump|61|shipped
1329|gale|north|valve|18|paid
1877|birch|north|sensor|54|held
1570|ionic|south|panel|76|shipped
1467|dorian|north|pump|61|pending
1705|dorian|south|frame|68|paid
1408|juno|west|panel|87|pending
1510|ionic|north|cable|43|held
1758|acme|north|valve|63|shipped
1383|juno|north|pump|78|shipped
1153|fulton|north|panel|38|held
1303|acme|west|valve|38|shipped
1310|gale|west|valve|21|held
1605|gale|south|frame|79|pending
1817|dorian|north|gasket|26|held
1168|fulton|east|cable|77|held
1346|cobalt|north|pump|54|paid
1066|harbor|south|frame|14|pending
1545|birch|east|sensor|86|paid
1677|acme|south|rotor|24|pending
1412|acme|south|valve|90|shipped
1648|harbor|east|rotor|46|shipped
1621|cobalt|east|panel|73|pending
1436|juno|north|valve|72|pending
1385|gale|south|frame|46|shipped
1378|dorian|east|panel|20|pending
1061|harbor|north|valve|78|pending
1485|birch|north|panel|49|paid
1185|harbor|east|rotor|78|shipped
1658|ember|west|panel|49|shipped
1638|cobalt|south|pump|96|held
1300|ember|south|pump|79|held
1087|harbor|north|valve|57|shipped
1335|fulton|west|valve|37|shipped
1725|harbor|north|valve|43|paid
1158|acme|north|gasket|44|shipped
1424|ionic|north|frame|72|paid
1873|harbor|west|valve|45|held
1830|ionic|east|panel|62|paid
1474|fulton|west|valve|71|held
1582|dorian|south|valve|27|shipped
1370|dorian|east|valve|59|shipped
1317|fulton|north|pump|23|shipped
1838|ionic|east|pump|45|held
1415|gale|west|rotor|75|shipped
1189|dorian|west|gasket|84|held
1366|gale|west|valve|77|held
1813|cobalt|south|valve|11|pending
1780|fulton|east|gasket|66|paid
1257|gale|south|panel|91|held
1450|acme|south|pump|73|held
1525|acme|south|gasket|93|pending
1768|juno|west|gasket|81|paid
1511|gale|north|cable|10|pending
1197|dorian|east|gasket|90|paid
1200|acme|south|rotor|40|paid
1634|cobalt|east|cable|70|paid
1183|gale|east|gasket|15|paid
1365|fulton|west|frame|86|pending
1390|harbor|north|gasket|32|shipped
1340|ember|west|cable|63|shipped
1539|birch|east|valve|11|held
1563|gale|west|gasket|89|pending
1140|birch|south|valve|73|paid
1659|fulton|north|pump|38|pending
1655|acme|west|frame|17|shipped
1334|fulton|south|valve|70|paid
1529|gale|west|pump|60|pending
1070|harbor|north|cable|99|shipped
1217|harbor|north|gasket|70|pending
1740|dorian|south|cable|29|paid
1306|juno|south|sensor|49|pending
1711|ionic|north|frame|91|pending
1325|ionic|east|rotor|54|paid
1574|birch|west|sensor|89|shipped
1171|fulton|east|valve|95|paid
1788|gale|west|rotor|73|paid
1093|harbor|north|rotor|78|pending
1360|gale|north|sensor|87|paid
1299|acme|east|frame|76|held
1761|ember|north|pump|12|held
1355|fulton|east|panel|67|shipped
1135|birch|north|valve|19|held
1354|acme|north|rotor|70|pending
1430|dorian|east|rotor|72|held
1748|birch|west|panel|72|paid
1164|fulton|west|panel|94|paid
1827|acme|north|pump|24|shipped
1627|cobalt|east|sensor|37|paid
1547|juno|north|gasket|32|pending
1251|acme|east|valve|19|paid
1670|fulton|south|panel|40|pending
1775|birch|south|frame|81|paid
1731|gale|west|panel|80|shipped
1783|dorian|south|gasket|22|held
1131|dorian|north|sensor|56|paid
1863|gale|west|sensor|23|paid
1146|ember|east|valve|30|held
1509|harbor|north|panel|47|held
1380|gale|west|rotor|16|held
1800|harbor|north|valve|66|pending
1754|acme|north|cable|55|paid
1872|juno|west|pump|20|shipped
1538|fulton|west|cable|29|pending
1364|juno|north|gasket|13|shipped
1675|acme|east|cable|80|pending
1444|birch|north|sensor|77|paid
1268|fulton|east|frame|12|paid
1211|acme|north|sensor|62|held
1553|birch|north|valve|14|held
1281|harbor|west|panel|39|shipped
1669|ionic|north|sensor|75|shipped
1860|cobalt|east|frame|49|shipped
1237|juno|south|frame|64|pending
1478|cobalt|south|rotor|80|paid
1209|dorian|north|cable|33|held
1799|birch|east|sensor|59|held
1588|birch|north|pump|86|shipped
1691|juno|north|cable|20|paid
1663|ember|north|panel|76|held
1419|ember|north|pump|85|held
1161|juno|north|sensor|54|shipped
1598|ionic|south|panel|78|pending
1224|ember|south|frame|23|pending
1745|ionic|west|rotor|87|pending
1504|ionic|south|panel|71|pending
1401|cobalt|north|rotor|84|pending
1488|dorian|north|rotor|76|pending
1811|acme|north|gasket|36|held
1114|acme|west|gasket|85|shipped
1280|gale|west|frame|50|shipped
1260|fulton|south|sensor|38|paid
1746|fulton|east|panel|43|pending
1406|harbor|north|pump|69|shipped
1441|acme|south|sensor|18|pending
1615|harbor|south|valve|89|pending
1518|ionic|north|pump|33|pending
1374|ember|east|gasket|99|shipped
1697|dorian|north|pump|95|shipped
1285|fulton|west|pump|56|paid
1428|dorian|north|pump|49|shipped
1271|ionic|north|rotor|88|pending
1499|ember|north|cable|65|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" 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": "cancel_order",
    "args": {
      "order_id": 1077
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1070
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1082
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1050
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1077
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1070
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1082
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1050
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1077
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1070
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1082
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1050
    }
  }
]

wrongagentic.tools.triage-v1conf 100% · 123ms · $0.000 · 206 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:
- infra → haddad
- data → rivera
- auth → dubois

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 9)
2. "records missing after import" (category: data, priority 9)
3. "records missing after import" (category: data, priority 9)
4. "API latency spikes" (category: infra, 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": "uploads failing intermittently", "priority": 9}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 9}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}}
]

correctagentic.tools.deploy-v1conf 100% · 116ms · $0.000 · 133 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: notifier
- search: notifier
- notifier: (none)
- gateway: auth-svc

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 "gateway" 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": "notifier" }
  },
  {
    "tool": "deploy",
    "args": { "service": "auth-svc" }
  },
  {
    "tool": "deploy",
    "args": { "service": "search" }
  },
  {
    "tool": "deploy",
    "args": { "service": "gateway" }
  },
  {
    "tool": "health_check",
    "args": { "service": "gateway" }
  }
]

correctagentic.tools.ledger-v1conf 100% · 124ms · $0.000 · 130 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: $771
- tango: $614
- echo: $134

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $223 from "tango" to "echo"
2. pay $190 from "oscar" to "echo"
3. pay $89 from "oscar" to "echo"
4. pay $102 from "tango" 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": "tango", "to": "echo", "amount": 223}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 190}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 89}},
  {"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 102}}
]

wrongagentic.tools.triage-v1conf 100% · 128ms · $0.000 · 266 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:
- data → novak
- auth → silva
- infra → rivera

INCIDENTS:
1. "export file corrupted" (category: data, priority 9)
2. "export file corrupted" (category: data, priority 9)
3. "webhooks not delivered" (category: infra, priority 2)
4. "export file corrupted" (category: data, priority 9)

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": 9
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "export file corrupted",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-3"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "novak"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "webhooks not delivered",
      "priority": 2
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-5",
      "agent": "rivera"
    }
  }
]

wrongagentic.tools.deploy-v1conf 100% · 127ms · $0.000 · 131 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: billing, notifier
- notifier: billing
- billing: (none)
- gateway: billing

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 "gateway" 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": "billing" }
  },
  {
    "tool": "deploy",
    "args": { "service": "notifier" }
  },
  {
    "tool": "deploy",
    "args": { "service": "search" }
  },
  {
    "tool": "deploy",
    "args": { "service": "gateway" }
  },
  {
    "tool": "health_check",
    "args": { "service": "gateway" }
  }
]

wrongagentic.tools.triage-v1conf 100% · 122ms · $0.000 · 206 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 → dubois
- data → rivera
- payments → chen

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 2)
2. "records missing after import" (category: data, priority 7)
3. "records missing after import" (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:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 2
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "dubois"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "records missing after import",
      "priority": 7
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-2",
      "agent": "rivera"
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-3",
      "resolution": "duplicate of TCK-2"
    }
  }
]

correctagentic.tools.ledger-v1conf 100% · 116ms · $0.000 · 161 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: $482
- kilo: $541
- delta: $801

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $413 from "tango" to "delta"
2. pay $339 from "kilo" to "tango"
3. pay $87 from "delta" to "kilo"
4. pay $193 from "kilo" to "tango"
5. pay $220 from "delta" to "tango"

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": "tango", "to": "delta", "amount": 413}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 339}},
  {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 87}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 193}},
  {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 220}}
]

wrongagentic.tools.context-load-v1conf 100% · 134ms · $0.000 · 98 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 (184 records, format: id|customer|region|item|qty|status):
```
2120|harbor|east|panel|59|pending
1901|ionic|east|gasket|43|pending
1864|dorian|north|pump|41|pending
1771|fulton|north|rotor|86|paid
1626|cobalt|south|valve|88|held
1789|birch|north|valve|31|shipped
1465|cobalt|south|sensor|60|shipped
1871|birch|west|cable|91|held
1786|ionic|north|pump|13|shipped
1868|ionic|west|sensor|14|paid
2034|ionic|north|gasket|20|paid
1811|fulton|north|panel|71|shipped
1980|cobalt|west|panel|37|paid
1853|ionic|west|pump|21|held
1633|ember|south|pump|64|pending
1751|gale|east|gasket|44|pending
1462|dorian|east|pump|46|shipped
1714|cobalt|west|cable|18|paid
2099|cobalt|south|rotor|76|pending
1896|gale|west|frame|88|held
1598|cobalt|north|sensor|81|paid
2077|harbor|east|rotor|53|pending
1620|birch|north|gasket|67|held
1531|cobalt|south|frame|37|pending
1450|birch|north|valve|64|held
1527|juno|west|panel|21|held
1821|harbor|north|gasket|94|shipped
1814|cobalt|west|valve|48|shipped
1939|ember|east|valve|89|held
1746|juno|north|sensor|10|held
1725|cobalt|north|sensor|62|shipped
1680|ember|south|cable|67|pending
1762|juno|south|rotor|61|shipped
2054|birch|east|cable|73|shipped
1584|acme|east|gasket|68|paid
1566|fulton|north|rotor|36|held
1722|dorian|east|panel|17|held
1840|harbor|south|panel|85|paid
1594|fulton|east|rotor|61|paid
1579|gale|south|gasket|68|pending
2050|gale|north|sensor|81|paid
1862|fulton|east|rotor|39|held
2113|harbor|west|valve|77|held
2064|dorian|west|cable|84|held
1516|juno|north|valve|59|pending
1661|dorian|east|pump|68|held
2048|ionic|south|cable|62|pending
1616|dorian|east|panel|49|shipped
1538|birch|south|gasket|15|pending
2032|ionic|south|gasket|52|pending
1611|harbor|west|panel|77|pending
1799|cobalt|north|pump|87|shipped
2063|ionic|east|frame|34|paid
1470|ionic|north|rotor|37|held
1990|gale|north|pump|47|shipped
1503|dorian|west|rotor|48|pending
1738|acme|north|valve|31|shipped
1398|ember|east|panel|70|pending
2021|dorian|west|cable|28|paid
1944|harbor|west|panel|34|paid
1956|dorian|north|rotor|79|paid
1829|birch|west|pump|16|shipped
1557|birch|north|gasket|97|paid
2058|birch|north|sensor|88|shipped
1869|harbor|west|pump|13|paid
2003|birch|south|cable|64|shipped
1411|ember|north|cable|18|shipped
1631|fulton|west|valve|92|held
1964|fulton|east|rotor|88|paid
1449|harbor|west|rotor|41|paid
2026|fulton|north|gasket|91|pending
1863|birch|east|sensor|99|shipped
2033|gale|east|sensor|58|pending
1484|fulton|east|valve|80|shipped
1490|birch|east|cable|29|shipped
1407|ember|north|pump|87|pending
1509|acme|west|valve|78|paid
1600|gale|east|sensor|68|held
1537|ionic|east|pump|58|held
2067|birch|south|rotor|43|shipped
2027|harbor|north|sensor|59|pending
2041|gale|west|gasket|64|shipped
1779|dorian|east|panel|45|pending
1464|ember|east|sensor|48|shipped
1522|juno|south|valve|25|shipped
1926|gale|east|cable|48|pending
1505|gale|south|sensor|62|paid
1940|cobalt|west|frame|69|paid
1967|ionic|east|frame|89|paid
1513|juno|south|pump|44|pending
1794|gale|east|frame|83|shipped
1678|cobalt|west|cable|29|shipped
1544|acme|west|frame|75|shipped
1804|ionic|west|pump|45|shipped
1647|juno|east|sensor|38|held
1417|ember|north|sensor|96|pending
2017|fulton|south|frame|14|held
1409|ember|west|frame|54|pending
1641|harbor|south|pump|39|pending
1418|ember|south|cable|66|pending
1729|cobalt|west|pump|36|shipped
1551|ember|north|pump|90|paid
1932|acme|south|valve|71|held
2103|dorian|west|panel|91|shipped
1419|ember|north|sensor|63|held
1993|ember|west|sensor|74|held
1890|acme|south|valve|73|shipped
1933|birch|south|rotor|97|shipped
2005|harbor|west|frame|20|shipped
1687|dorian|west|rotor|30|pending
1775|harbor|north|panel|20|pending
2055|ember|south|gasket|42|paid
1740|acme|east|valve|83|paid
1422|gale|east|pump|31|held
1671|juno|west|gasket|28|pending
1478|gale|east|pump|81|paid
1703|juno|south|valve|18|held
1983|juno|west|pump|79|shipped
1636|birch|east|frame|73|shipped
1848|birch|north|valve|16|pending
2083|juno|south|valve|96|shipped
1823|ember|south|gasket|63|shipped
1669|fulton|west|sensor|45|held
1835|ionic|east|gasket|51|paid
1736|acme|north|rotor|54|pending
1913|cobalt|east|gasket|35|held
2072|cobalt|south|pump|51|pending
1744|juno|east|frame|69|held
1441|acme|east|rotor|93|paid
1654|gale|north|valve|46|shipped
1466|fulton|east|sensor|86|pending
1601|juno|south|sensor|44|pending
1816|cobalt|west|sensor|33|shipped
1791|dorian|east|frame|95|pending
1395|ember|north|valve|89|pending
1454|ionic|south|sensor|71|held
1404|ember|north|gasket|84|held
1436|juno|west|pump|96|shipped
1692|acme|south|rotor|12|paid
1909|gale|north|cable|87|pending
1757|harbor|east|sensor|94|held
1424|ember|north|sensor|94|shipped
2000|gale|east|frame|31|shipped
1919|birch|north|panel|30|shipped
1629|birch|north|frame|52|paid
1765|fulton|south|pump|87|paid
1759|gale|east|rotor|22|shipped
1710|fulton|east|panel|64|held
2092|ember|south|frame|38|paid
1655|ember|south|rotor|85|shipped
1573|cobalt|west|rotor|58|pending
1495|birch|east|gasket|93|shipped
1560|dorian|west|frame|47|paid
1476|harbor|west|gasket|58|pending
1856|gale|east|cable|15|pending
1721|ionic|north|gasket|95|held
2046|harbor|south|rotor|29|pending
1623|birch|west|sensor|91|paid
1459|cobalt|north|rotor|77|paid
1501|ionic|north|gasket|74|pending
1881|dorian|south|sensor|46|shipped
1950|ember|north|pump|44|held
1590|acme|east|pump|69|paid
1843|cobalt|north|valve|84|shipped
2011|harbor|south|rotor|27|pending
1824|harbor|north|sensor|13|shipped
2087|acme|north|frame|60|pending
1697|birch|south|panel|44|paid
1430|cobalt|west|panel|26|paid
1878|ionic|west|panel|68|pending
1908|ember|north|rotor|46|paid
1444|harbor|north|sensor|53|shipped
1975|fulton|west|pump|78|paid
1461|gale|south|valve|40|held
1883|gale|west|valve|90|pending
1607|fulton|east|sensor|85|held
1971|cobalt|south|rotor|78|pending
1667|acme|west|valve|56|shipped
1572|dorian|east|sensor|39|pending
1675|cobalt|south|panel|67|shipped
2121|acme|north|gasket|72|pending
1958|fulton|east|cable|31|shipped
1644|acme|south|pump|88|paid
2107|acme|west|pump|68|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 49, 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": "cancel_order",
    "args": {
      "order_id": 1395
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1417
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1404
    }
  }
]

wrongagentic.tools.triage-v1conf 100% · 118ms · $0.000 · 319 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:
- auth → tanaka
- data → okafor
- payments → novak

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 7)
2. "export file corrupted" (category: data, priority 4)
3. "locked out after 2FA change" (category: auth, priority 7)
4. "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:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 7
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 7
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 7
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "export file corrupted",
      "priority": 4
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-4",
      "agent": "okafor"
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 122ms · $0.000 · 133 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, reports
- gateway: (none)
- reports: gateway
- auth-svc: reports

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 "gateway" 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": "health_check",
    "args": { "service": "gateway" }
  },
  {
    "tool": "deploy",
    "args": { "service": "reports" }
  },
  {
    "tool": "deploy",
    "args": { "service": "auth-svc" }
  },
  {
    "tool": "deploy",
    "args": { "service": "notifier" }
  }
]

wrongagentic.tools.ledger-v1conf 100% · 277ms · $0.000 · 158 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: $403
- delta: $533
- bravo: $388

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $150 from "tango" to "bravo"
2. pay $196 from "bravo" to "delta"
3. pay $134 from "delta" to "bravo"
4. pay $562 from "bravo" to "tango"

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": "tango", "to": "bravo", "amount": 150}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 196}},
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 134}},
  {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 230}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 562}}
]

wrongagentic.tools.context-load-v1conf 100% · 122ms · $0.000 · 76 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 (183 records, format: id|customer|region|item|qty|status):
```
1915|gale|east|cable|56|shipped
1710|birch|north|gasket|54|shipped
1685|gale|south|frame|33|held
1633|juno|south|cable|54|pending
1822|harbor|north|valve|17|paid
1408|juno|west|gasket|60|pending
1620|acme|south|cable|78|held
1676|ionic|east|pump|61|held
1466|harbor|west|cable|89|pending
1698|gale|south|sensor|22|paid
2079|acme|south|sensor|23|pending
1560|ionic|west|gasket|31|held
1702|acme|west|rotor|81|held
1459|juno|west|cable|57|shipped
1412|juno|south|cable|60|pending
1670|gale|south|gasket|45|shipped
2018|juno|north|valve|98|held
1695|gale|north|gasket|38|shipped
1525|harbor|east|gasket|41|held
1414|juno|east|frame|56|held
2032|dorian|south|cable|89|held
1568|dorian|west|gasket|86|shipped
2011|juno|south|cable|15|pending
1641|ionic|east|gasket|20|paid
1945|birch|west|gasket|97|shipped
1671|acme|north|sensor|47|shipped
1820|birch|north|cable|48|held
1440|ember|north|cable|58|held
1512|gale|north|cable|20|paid
1860|harbor|east|valve|83|pending
1733|ember|north|pump|52|shipped
1682|birch|north|frame|63|shipped
1651|ember|north|pump|58|held
2003|birch|west|frame|46|shipped
1963|birch|north|frame|69|pending
1848|fulton|south|sensor|94|pending
1423|dorian|west|gasket|43|pending
1826|acme|west|cable|44|pending
2094|acme|east|rotor|81|paid
1472|fulton|south|pump|34|shipped
1784|cobalt|north|pump|75|paid
1922|birch|west|cable|51|pending
1538|ember|north|frame|55|paid
1434|fulton|east|rotor|94|pending
1981|ionic|west|valve|72|paid
1776|ember|west|pump|67|held
1666|fulton|north|cable|15|pending
1864|juno|south|gasket|72|pending
1996|gale|north|pump|86|paid
1406|juno|east|rotor|67|paid
1662|ionic|east|cable|90|pending
1654|juno|north|sensor|51|held
1992|dorian|north|pump|20|shipped
2073|dorian|east|rotor|98|pending
1969|birch|south|cable|34|paid
1928|fulton|west|pump|19|pending
1944|gale|east|panel|78|paid
1499|harbor|east|gasket|19|shipped
2038|harbor|south|rotor|84|pending
1871|harbor|south|rotor|17|pending
1760|cobalt|south|gasket|72|held
1690|birch|north|panel|15|paid
1416|dorian|south|rotor|10|held
1701|acme|north|cable|99|held
1815|ionic|south|panel|13|pending
1987|cobalt|east|sensor|24|shipped
1501|acme|east|cable|74|paid
1672|ionic|east|gasket|25|pending
1587|ionic|south|cable|90|pending
1897|juno|west|rotor|11|shipped
2058|birch|west|sensor|86|pending
1575|birch|north|pump|19|shipped
1401|juno|west|rotor|94|pending
1580|cobalt|south|panel|59|shipped
1591|fulton|west|panel|15|paid
1447|gale|west|gasket|35|shipped
1719|gale|west|sensor|15|held
2086|birch|north|pump|33|held
1486|ionic|south|valve|60|pending
1878|juno|south|panel|71|held
1726|ember|east|frame|22|pending
1967|cobalt|west|gasket|55|held
1890|juno|west|rotor|50|paid
1885|harbor|west|cable|25|pending
1484|juno|south|pump|21|paid
2074|ionic|east|rotor|59|held
1645|ember|east|panel|52|held
1541|cobalt|west|gasket|11|paid
1914|gale|west|valve|71|pending
1548|ionic|west|rotor|97|shipped
1596|dorian|south|cable|52|pending
1808|fulton|north|gasket|61|held
1508|gale|west|pump|84|paid
1943|ember|east|rotor|55|paid
1795|birch|north|valve|21|held
1597|dorian|west|sensor|74|held
1933|fulton|north|sensor|14|pending
2026|birch|west|cable|90|held
1801|dorian|east|valve|58|paid
2044|acme|east|valve|57|shipped
2064|gale|west|sensor|16|pending
1533|ember|west|valve|65|held
1558|juno|west|rotor|27|pending
1481|juno|south|sensor|83|pending
1842|harbor|north|cable|58|pending
1659|fulton|east|gasket|59|held
1790|ember|east|pump|76|shipped
1709|ionic|south|gasket|14|paid
1884|ionic|east|cable|93|paid
1908|ember|south|pump|44|held
1802|ionic|east|frame|92|held
1551|cobalt|south|valve|16|pending
1818|juno|east|sensor|64|pending
1813|fulton|west|panel|47|paid
1975|fulton|north|cable|82|held
1653|cobalt|south|valve|31|paid
1615|ember|east|gasket|48|shipped
1429|gale|north|frame|97|pending
2023|gale|west|panel|15|held
2008|ionic|north|sensor|69|paid
1755|ember|west|panel|31|pending
1738|cobalt|west|pump|36|shipped
1567|harbor|north|pump|91|shipped
2054|fulton|north|gasket|73|held
1887|ionic|east|frame|25|paid
1855|acme|east|valve|17|paid
2020|birch|east|panel|17|paid
1605|ionic|north|rotor|37|held
1627|harbor|east|sensor|67|pending
1751|dorian|west|frame|32|held
1904|ionic|north|panel|80|held
1764|gale|north|cable|75|paid
1743|juno|west|frame|94|shipped
1474|ionic|east|gasket|55|pending
1635|ember|south|gasket|91|held
2083|ember|north|cable|47|held
1493|juno|west|pump|80|paid
1936|fulton|north|panel|58|pending
1461|dorian|east|panel|12|pending
2067|juno|west|cable|96|pending
1735|acme|east|rotor|78|pending
1611|ionic|north|frame|24|paid
1979|juno|west|frame|26|shipped
1410|juno|east|sensor|41|paid
2052|dorian|west|valve|21|pending
2071|acme|south|pump|69|held
1835|fulton|south|valve|10|held
1926|cobalt|west|frame|79|held
1769|gale|north|sensor|59|pending
1957|harbor|west|gasket|12|shipped
1507|ember|west|pump|95|pending
1767|cobalt|north|sensor|44|paid
1475|dorian|west|valve|74|pending
1411|juno|east|cable|41|pending
1799|birch|west|sensor|96|shipped
1829|fulton|west|rotor|44|held
1399|juno|east|cable|66|pending
2092|fulton|south|pump|17|paid
1984|harbor|west|sensor|63|paid
1519|ember|north|panel|46|held
1446|dorian|north|frame|30|shipped
1749|fulton|west|frame|92|pending
1407|juno|east|cable|29|pending
1518|dorian|north|cable|33|held
1692|birch|north|frame|46|paid
2066|ionic|north|cable|71|pending
1916|cobalt|west|gasket|47|pending
1454|dorian|east|pump|79|pending
2048|ionic|west|frame|92|shipped
1958|acme|north|gasket|97|paid
1464|acme|south|pump|80|held
1823|gale|north|cable|42|paid
1768|birch|south|gasket|74|pending
1814|dorian|east|gasket|29|shipped
2013|juno|south|frame|94|held
2062|fulton|west|panel|95|paid
1782|juno|south|pump|48|shipped
1715|juno|south|panel|16|held
1537|ember|east|pump|65|paid
1532|gale|north|sensor|86|held
1972|birch|south|pump|43|shipped
1951|gale|east|gasket|30|paid
1604|harbor|south|gasket|41|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" 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": "rotor",
      "qty": 67
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1410
    }
  }
]

wrongagentic.tools.triage-v1conf 100% · 126ms · $0.000 · 335 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 → rivera
- data → dubois
- infra → tanaka

INCIDENTS:
1. "cannot reset password" (category: auth, priority 3)
2. "cannot reset password" (category: auth, priority 3)
3. "uploads failing intermittently" (category: infra, priority 8)
4. "locked out after 2FA change" (category: auth, priority 9)

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": "cannot reset password",
      "priority": 3
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "cannot reset password",
      "priority": 3
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "uploads failing intermittently",
      "priority": 8
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-3"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-4"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-4",
      "agent": "rivera"
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 122ms · $0.000 · 131 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: (none)
- billing: reports
- reports: gateway
- gateway: 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 "gateway" 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": "notifier" }
  },
  {
    "tool": "deploy",
    "args": { "service": "gateway" }
  },
  {
    "tool": "health_check",
    "args": { "service": "gateway" }
  },
  {
    "tool": "deploy",
    "args": { "service": "reports" }
  },
  {
    "tool": "deploy",
    "args": { "service": "billing" }
  }
]

wrongagentic.tools.ledger-v1conf 100% · 126ms · $0.000 · 211 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:
- bravo: $226
- delta: $191
- lima: $263

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $301 from "delta" to "bravo"
2. pay $302 from "lima" to "bravo"
3. pay $114 from "lima" to "bravo"
4. pay $179 from "lima" 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:

[
  {
    "tool": "transfer",
    "args": {
      "from": "delta",
      "to": "bravo",
      "amount": 301
    }
  },
  {
    "tool": "top_up_from_reserve",
    "args": {
      "account": "delta",
      "amount": 110
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "lima",
      "to": "bravo",
      "amount": 302
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "lima",
      "to": "bravo",
      "amount": 114
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "lima",
      "to": "delta",
      "amount": 179
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 118ms · $0.000 · 131 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
- gateway: reports
- notifier: reports, search
- reports: (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:

[
  {
    "tool": "deploy",
    "args": { "service": "reports" }
  },
  {
    "tool": "health_check",
    "args": { "service": "reports" }
  },
  {
    "tool": "deploy",
    "args": { "service": "gateway" }
  },
  {
    "tool": "deploy",
    "args": { "service": "search" }
  },
  {
    "tool": "deploy",
    "args": { "service": "notifier" }
  }
]

wrongagentic.tools.context-load-v1conf 100% · 142ms · $0.000 · 70 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 (265 records, format: id|customer|region|item|qty|status):
```
1720|gale|north|rotor|65|shipped
1835|ember|east|valve|75|paid
2135|dorian|south|sensor|47|shipped
1934|ionic|east|cable|86|pending
1715|dorian|north|sensor|36|pending
1135|harbor|north|rotor|99|shipped
1253|fulton|west|panel|37|paid
1908|acme|north|gasket|37|paid
1520|ionic|north|gasket|83|held
1440|birch|south|rotor|63|shipped
1166|dorian|south|cable|16|paid
1608|gale|east|sensor|86|held
1191|fulton|east|panel|42|shipped
1173|cobalt|west|gasket|51|shipped
2076|birch|south|panel|31|pending
2097|ember|east|rotor|69|shipped
1728|dorian|east|sensor|69|shipped
1967|juno|west|gasket|95|pending
2088|cobalt|south|pump|71|paid
2105|fulton|west|rotor|21|held
1723|ember|west|rotor|91|held
1442|ionic|north|panel|53|held
1325|cobalt|north|gasket|50|pending
1817|gale|south|frame|15|paid
2091|dorian|south|valve|96|pending
1490|ember|west|cable|24|paid
2122|harbor|south|pump|54|shipped
2162|birch|east|pump|93|shipped
1979|cobalt|west|rotor|96|pending
1208|dorian|east|rotor|30|shipped
1689|gale|east|panel|57|pending
1864|dorian|west|rotor|51|shipped
1642|dorian|south|cable|80|paid
1123|harbor|east|valve|42|pending
1462|dorian|south|pump|51|shipped
1709|gale|south|pump|63|held
1745|fulton|south|valve|66|pending
1761|ember|east|frame|62|paid
1588|birch|west|frame|72|held
1139|harbor|north|panel|57|pending
1365|fulton|south|pump|64|pending
2052|cobalt|south|pump|36|held
2168|acme|west|frame|87|shipped
1648|ember|west|sensor|57|pending
1551|juno|east|cable|22|paid
1783|gale|west|sensor|19|held
1939|harbor|south|pump|26|held
1568|juno|south|gasket|82|shipped
1131|harbor|east|rotor|24|pending
1546|gale|east|pump|34|pending
1463|juno|south|sensor|28|held
2057|ember|north|rotor|36|pending
1273|cobalt|north|sensor|80|paid
1619|ionic|west|rotor|41|pending
1314|fulton|south|panel|85|pending
1266|birch|north|panel|54|paid
1536|harbor|east|cable|72|shipped
1318|cobalt|south|gasket|50|paid
2033|dorian|south|panel|68|paid
1234|ionic|south|valve|22|paid
2063|acme|south|cable|90|held
1559|juno|south|panel|52|paid
1254|dorian|east|rotor|26|paid
2175|ionic|east|rotor|27|pending
1404|ember|north|gasket|46|shipped
1860|ember|east|valve|13|held
2143|cobalt|north|gasket|45|held
1983|birch|north|sensor|76|shipped
2030|ionic|north|pump|13|paid
1539|fulton|west|valve|12|shipped
1757|cobalt|south|pump|43|pending
1653|acme|west|panel|35|shipped
1261|gale|north|frame|51|pending
1739|birch|east|panel|50|paid
1527|harbor|east|cable|24|pending
1345|fulton|west|rotor|96|paid
1305|harbor|south|sensor|95|held
1120|harbor|north|gasket|83|pending
1560|acme|east|sensor|20|pending
1955|acme|south|valve|43|shipped
1376|cobalt|north|pump|79|pending
1422|acme|south|frame|13|pending
1455|fulton|west|valve|41|pending
1687|gale|north|pump|54|pending
1580|birch|east|frame|93|shipped
1914|cobalt|north|panel|45|pending
1599|ember|south|pump|50|pending
1459|birch|south|pump|59|shipped
2167|ember|west|rotor|72|shipped
1483|birch|north|valve|55|paid
2039|birch|east|gasket|32|pending
1829|dorian|south|pump|49|held
1628|gale|south|gasket|52|paid
1801|acme|west|panel|35|shipped
1997|cobalt|north|gasket|31|pending
1304|cobalt|south|gasket|59|paid
1680|juno|south|frame|41|pending
2107|acme|east|panel|90|paid
1740|gale|north|gasket|34|pending
1953|harbor|west|pump|55|shipped
1181|ember|north|gasket|99|held
2004|cobalt|west|cable|50|paid
1813|acme|south|valve|25|paid
1806|gale|east|panel|78|held
1591|birch|east|valve|23|pending
1596|gale|north|valve|17|paid
2139|harbor|south|cable|50|paid
1293|gale|east|rotor|20|held
1825|cobalt|north|gasket|52|shipped
1505|dorian|west|valve|32|paid
1198|fulton|east|frame|54|pending
2056|ember|east|sensor|11|paid
2098|juno|east|pump|41|paid
2013|harbor|south|panel|31|shipped
1665|acme|south|rotor|23|shipped
1919|birch|south|cable|68|pending
2069|ionic|east|gasket|70|pending
1500|cobalt|north|gasket|20|shipped
1752|juno|south|valve|91|held
1371|fulton|north|valve|81|paid
1713|juno|east|panel|36|shipped
2156|birch|west|gasket|53|pending
1426|birch|north|frame|53|paid
2124|acme|north|frame|64|held
1415|cobalt|east|gasket|84|paid
1784|ember|west|panel|58|pending
2051|ionic|north|pump|45|paid
1529|gale|south|cable|35|paid
1702|acme|east|pump|73|pending
1958|acme|south|pump|20|shipped
2007|harbor|south|rotor|47|paid
1787|fulton|east|frame|71|paid
1950|fulton|north|panel|30|pending
1160|ember|east|rotor|16|pending
1867|acme|west|pump|80|paid
1815|cobalt|west|sensor|39|held
2031|juno|west|valve|40|paid
1322|fulton|east|valve|12|shipped
1773|dorian|west|valve|22|pending
1886|fulton|north|panel|96|pending
1964|dorian|west|frame|90|paid
1925|juno|north|cable|54|paid
1622|ember|east|rotor|55|pending
1854|acme|west|panel|42|held
1388|gale|north|pump|50|paid
1681|juno|south|sensor|47|paid
1357|acme|west|pump|70|pending
1583|fulton|east|sensor|58|shipped
1662|harbor|west|gasket|65|paid
1434|juno|north|frame|36|paid
2112|harbor|east|frame|78|held
2181|harbor|east|valve|51|pending
1409|acme|east|sensor|12|shipped
1677|birch|south|sensor|82|held
1210|birch|east|cable|27|held
2182|harbor|south|panel|35|paid
1572|birch|north|gasket|73|pending
2046|harbor|south|cable|52|held
1277|cobalt|west|gasket|40|shipped
1552|cobalt|west|cable|55|held
1222|gale|north|valve|61|paid
1839|gale|south|pump|55|pending
1394|harbor|east|frame|83|shipped
1973|cobalt|west|gasket|43|shipped
1874|harbor|west|pump|11|held
1335|ember|south|cable|27|pending
2129|ember|south|rotor|71|held
2174|fulton|north|sensor|33|held
1791|birch|east|frame|33|paid
1766|ionic|north|cable|96|paid
1881|gale|east|panel|22|pending
1478|gale|north|panel|17|pending
1696|ember|east|pump|24|paid
1240|juno|south|sensor|39|pending
1125|harbor|north|pump|66|held
1990|harbor|south|sensor|52|held
1800|ionic|south|rotor|66|held
1699|birch|west|gasket|60|held
2083|dorian|south|gasket|10|paid
1902|ember|south|pump|68|paid
1429|dorian|west|frame|98|paid
1753|harbor|north|rotor|52|pending
1413|juno|north|valve|90|held
1517|harbor|west|panel|88|held
1686|ember|north|pump|23|paid
2103|juno|east|panel|83|pending
2019|ionic|north|sensor|19|held
1929|gale|west|frame|77|paid
1157|dorian|west|panel|63|paid
1566|ember|east|frame|35|held
1142|harbor|north|rotor|34|shipped
1802|birch|east|frame|46|shipped
1900|birch|east|panel|26|shipped
1602|ionic|south|rotor|48|held
1338|fulton|east|gasket|75|pending
2102|ember|south|cable|34|held
1202|ember|north|frame|96|paid
1733|ember|north|rotor|74|pending
1279|birch|north|valve|30|held
1299|juno|north|pump|17|paid
1349|ember|north|rotor|34|paid
1346|acme|west|frame|19|paid
1824|cobalt|north|valve|57|shipped
1382|cobalt|south|frame|29|shipped
1362|fulton|west|gasket|89|shipped
1469|ember|north|valve|77|paid
1946|ember|west|cable|80|paid
1843|gale|east|pump|54|held
2116|gale|south|rotor|59|paid
1492|dorian|west|valve|67|shipped
1147|harbor|west|pump|65|held
1228|birch|east|gasket|79|pending
1656|acme|south|panel|13|paid
2070|birch|east|panel|83|pending
1449|dorian|north|cable|36|paid
1215|dorian|east|rotor|47|pending
1267|gale|east|rotor|81|held
1576|harbor|east|pump|42|paid
1206|acme|south|rotor|21|shipped
2173|ember|east|sensor|40|shipped
1180|ember|east|pump|83|paid
1673|ember|south|panel|21|shipped
2023|ionic|east|pump|51|pending
1241|cobalt|south|pump|30|held
2178|cobalt|north|gasket|21|shipped
1283|gale|south|panel|41|shipped
1777|birch|south|gasket|33|pending
1666|fulton|east|frame|35|shipped
1893|dorian|south|rotor|79|paid
1793|cobalt|east|frame|52|held
1887|dorian|north|rotor|19|paid
1922|acme|south|gasket|24|held
1141|harbor|east|gasket|38|pending
1354|harbor|south|cable|68|paid
1427|juno|west|cable|10|held
1811|dorian|west|panel|85|held
1476|dorian|south|pump|96|pending
1907|fulton|south|pump|59|pending
1400|juno|west|sensor|83|shipped
1128|harbor|north|gasket|48|pending
1150|juno|east|valve|38|pending
1185|harbor|south|cable|79|pending
1156|cobalt|west|pump|88|shipped
2145|dorian|north|sensor|62|pending
1186|acme|east|frame|27|shipped
1511|cobalt|north|sensor|56|shipped
1601|dorian|east|frame|22|pending
1496|gale|west|rotor|85|paid
1873|birch|south|gasket|91|held
1287|ember|east|panel|45|paid
1848|dorian|south|sensor|91|pending
2149|juno|north|cable|51|shipped
2114|fulton|east|valve|38|shipped
2081|dorian|north|sensor|44|shipped
1726|gale|west|sensor|66|held
1446|ember|north|cable|12|pending
1247|gale|south|pump|39|paid
1774|fulton|north|frame|88|pending
1331|cobalt|south|valve|80|shipped
1311|juno|south|frame|96|held
1548|ionic|east|frame|57|pending
1635|cobalt|east|frame|91|paid
1615|ember|north|cable|84|shipped
1920|fulton|north|cable|65|held
1396|dorian|south|panel|70|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, 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": "cancel_order",
    "args": {
      "order_id": 1125
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1120
    }
  }
]

wrongagentic.tools.triage-v1conf 100% · 126ms · $0.000 · 203 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 → novak
- payments → dubois
- infra → tanaka

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 2)
2. "card declined at checkout" (category: payments, priority 3)
3. "card declined at checkout" (category: payments, priority 3)

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": "dashboard shows stale numbers",
      "priority": 2
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "novak"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "card declined at checkout",
      "priority": 3
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-2",
      "agent": "dubois"
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-3",
      "resolution": "duplicate of TCK-2"
    }
  }
]

wrongagentic.tools.ledger-v1conf 100% · 119ms · $0.000 · 129 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:
- alpha: $640
- delta: $125
- kilo: $625

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $273 from "delta" to "kilo"
2. pay $367 from "delta" to "alpha"
3. pay $249 from "alpha" to "kilo"
4. pay $371 from "delta" 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:

[
  {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 273}},
  {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 367}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 249}},
  {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 371}}
]

wrongagentic.tools.context-load-v1conf 100% · 124ms · $0.000 · 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 (138 records, format: id|customer|region|item|qty|status):
```
1498|fulton|west|frame|88|shipped
1459|gale|west|valve|39|shipped
1559|dorian|east|panel|78|pending
1391|harbor|east|valve|83|paid
1583|birch|west|pump|89|paid
1586|ember|south|frame|82|held
1231|birch|west|cable|74|held
1107|harbor|west|pump|98|pending
1513|dorian|west|gasket|74|pending
1174|gale|north|pump|38|held
1411|fulton|west|gasket|26|paid
1384|ember|west|rotor|75|paid
1137|harbor|north|gasket|88|pending
1295|cobalt|north|sensor|99|paid
1130|harbor|west|valve|61|paid
1141|harbor|west|cable|13|held
1208|acme|north|sensor|75|paid
1546|ionic|north|panel|20|shipped
1364|birch|west|valve|90|held
1234|gale|west|sensor|66|shipped
1475|ionic|east|gasket|31|paid
1378|acme|south|panel|33|shipped
1429|harbor|south|rotor|33|paid
1457|cobalt|west|valve|75|shipped
1380|juno|south|panel|57|paid
1271|ember|east|pump|60|pending
1216|gale|north|frame|99|paid
1176|dorian|north|panel|52|held
1458|dorian|east|pump|45|paid
1155|cobalt|east|valve|74|shipped
1390|ionic|north|valve|32|paid
1376|birch|south|rotor|20|held
1298|gale|south|gasket|44|shipped
1552|ember|south|panel|36|paid
1267|acme|east|gasket|18|paid
1338|dorian|south|sensor|20|pending
1261|fulton|south|pump|80|paid
1542|juno|south|frame|22|held
1256|gale|west|rotor|71|paid
1488|juno|north|panel|61|shipped
1442|acme|south|sensor|15|paid
1623|juno|north|pump|21|paid
1204|juno|east|gasket|81|paid
1504|dorian|north|sensor|94|pending
1422|juno|south|rotor|16|shipped
1579|harbor|east|frame|14|pending
1296|ember|east|pump|91|pending
1616|ionic|west|gasket|26|shipped
1314|cobalt|south|pump|29|pending
1197|juno|east|sensor|42|shipped
1437|harbor|west|valve|59|shipped
1250|juno|south|pump|58|shipped
1260|cobalt|south|valve|23|shipped
1371|acme|west|rotor|79|paid
1191|cobalt|east|pump|27|held
1511|harbor|east|cable|55|paid
1403|harbor|north|sensor|18|held
1530|juno|south|sensor|49|pending
1289|gale|north|sensor|59|held
1612|fulton|east|gasket|47|held
1121|harbor|west|panel|54|pending
1430|acme|south|frame|50|shipped
1241|fulton|north|gasket|27|pending
1420|ionic|north|pump|94|paid
1148|ionic|south|pump|74|pending
1276|ember|south|sensor|77|paid
1348|cobalt|south|rotor|46|shipped
1538|acme|west|panel|86|shipped
1342|harbor|east|valve|49|paid
1353|juno|east|panel|86|held
1303|ionic|north|rotor|54|held
1445|cobalt|north|rotor|69|paid
1365|dorian|west|valve|44|shipped
1521|dorian|north|cable|72|held
1161|gale|east|sensor|87|shipped
1628|gale|east|cable|89|held
1125|harbor|east|pump|50|pending
1405|birch|north|pump|67|pending
1278|birch|east|panel|25|held
1246|dorian|west|cable|96|pending
1431|ionic|south|frame|71|paid
1565|ionic|south|cable|11|pending
1413|fulton|north|valve|78|paid
1566|gale|south|frame|82|held
1382|harbor|west|panel|53|pending
1569|gale|south|cable|24|shipped
1131|harbor|west|pump|59|pending
1328|gale|north|gasket|98|pending
1255|gale|north|rotor|18|shipped
1224|harbor|west|frame|54|held
1595|fulton|north|pump|94|shipped
1479|cobalt|north|rotor|42|held
1292|ember|south|panel|47|shipped
1186|dorian|south|pump|57|held
1232|harbor|south|gasket|16|held
1462|cobalt|west|gasket|18|pending
1496|ember|north|valve|69|pending
1316|acme|north|sensor|92|held
1523|acme|west|panel|25|shipped
1266|harbor|south|panel|93|paid
1182|birch|north|frame|33|pending
1492|fulton|east|frame|50|paid
1322|acme|north|gasket|73|shipped
1605|acme|north|pump|36|shipped
1486|acme|west|panel|56|pending
1302|ionic|north|cable|26|pending
1536|gale|south|pump|88|pending
1168|cobalt|north|valve|17|paid
1159|gale|south|gasket|24|paid
1547|acme|west|valve|41|paid
1335|acme|west|cable|46|held
1452|fulton|north|cable|31|shipped
1213|birch|north|gasket|58|pending
1520|juno|west|cable|42|pending
1114|harbor|south|sensor|80|pending
1602|ionic|west|gasket|95|shipped
1610|juno|west|sensor|49|paid
1564|ionic|west|rotor|99|held
1120|harbor|west|gasket|52|paid
1572|birch|west|panel|18|shipped
1573|acme|east|pump|33|pending
1399|birch|north|gasket|31|paid
1324|birch|north|frame|83|shipped
1221|juno|west|gasket|23|held
1283|ionic|south|rotor|73|pending
1309|juno|east|frame|66|pending
1469|gale|north|gasket|63|held
1591|cobalt|north|panel|11|pending
1145|gale|east|cable|66|paid
1179|acme|west|frame|18|shipped
1194|juno|north|sensor|61|shipped
1355|fulton|west|gasket|50|pending
1474|acme|south|panel|94|pending
1499|gale|north|pump|71|shipped
1436|ionic|west|frame|20|paid
1243|birch|west|rotor|55|shipped
1394|acme|east|frame|60|pending
1360|acme|north|rotor|75|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, 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": 98
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1141
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1314
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 137ms · $0.000 · 130 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):
- billing: reports, search
- reports: gateway
- search: reports
- gateway: (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 "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:

[
  {
    "tool": "deploy",
    "args": { "service": "gateway" }
  },
  {
    "tool": "deploy",
    "args": { "service": "reports" }
  },
  {
    "tool": "deploy",
    "args": { "service": "search" }
  },
  {
    "tool": "health_check",
    "args": { "service": "search" }
  },
  {
    "tool": "deploy",
    "args": { "service": "billing" }
  }
]

correctagentic.tools.triage-v1conf 100% · 121ms · $0.000 · 376 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:
- payments → tanaka
- auth → chen
- data → dubois

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 2)
2. "locked out after 2FA change" (category: auth, priority 8)
3. "export file corrupted" (category: data, priority 8)
4. "locked out after 2FA change" (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": "card declined at checkout",
      "priority": 2
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 8
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-2"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-2",
      "agent": "chen"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "export file corrupted",
      "priority": 8
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-3"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "dubois"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 8
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-4",
      "resolution": "duplicate of TCK-2"
    }
  }
]

wrongagentic.tools.ledger-v1conf 100% · 124ms · $0.000 · 157 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: $849
- alpha: $215
- echo: $504

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $211 from "echo" to "tango"
2. pay $419 from "alpha" to "echo"
3. pay $88 from "tango" to "alpha"
4. pay $498 from "alpha" to "tango"
5. pay $503 from "echo" to "alpha"

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": "tango", "amount": 211}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 419}},
  {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 88}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 498}},
  {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 503}}
]

wrongagentic.tools.context-load-v1anchorconf 100% · 128ms · $0.000 · 160 tok

model answer:

[
  {
    "tool": "restock",
    "args": {
      "item": "gasket",
      "qty": 60
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1397
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1384
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1368
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1382
    }
  }
]

correctagentic.tools.deploy-v1anchorconf 100% · 133ms · $0.000 · 133 tok

model answer:

[
  {
    "tool": "deploy",
    "args": { "service": "notifier" }
  },
  {
    "tool": "deploy",
    "args": { "service": "auth-svc" }
  },
  {
    "tool": "deploy",
    "args": { "service": "gateway" }
  },
  {
    "tool": "health_check",
    "args": { "service": "gateway" }
  },
  {
    "tool": "deploy",
    "args": { "service": "reports" }
  }
]

wrongagentic.tools.ledger-v1anchorconf 100% · 294ms · $0.000 · 250 tok

model answer:

[
  {
    "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": 72
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "delta",
      "to": "bravo",
      "amount": 540
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "tango",
      "to": "bravo",
      "amount": 125
    }
  }
]

wrongagentic.tools.triage-v1anchorconf 100% · 115ms · $0.000 · 204 tok

model answer:

[
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
  {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]

code 20/30 correct

wrongcode.trace.nested-v1conf 95% · 132ms · $0.000 · 1413 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 == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 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: 314

correctcode.trace.js-v1conf 100% · 143ms · $0.000 · 150 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 6)
  .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: 648

wrongcode.trace.nested-v1conf 95% · 121ms · $0.000 · 1393 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 == 5 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + 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: 371

correctcode.trace.python-v1conf 95% · 134ms · $0.000 · 503 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 9
while total + v <= 79:
    if v % 3 != 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: 42

correctcode.trace.js-v1conf 95% · 121ms · $0.000 · 152 tok

question

What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9];
const out = arr
  .map(n => n * 5)
  .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: 195

wrongcode.trace.python-v1conf 95% · 131ms · $0.000 · 473 tok

question

What does this Python program print?

```python
total = 0
v = 10
while total + v <= 94:
    if v % 3 != 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: 96

wrongcode.trace.nested-v1conf 100% · 251ms · $0.000 · 1235 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 == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + 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: 183

correctcode.trace.js-v1conf 100% · 134ms · $0.000 · 139 tok

question

What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6, 7];
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: 56

wrongcode.trace.nested-v1conf 95% · 126ms · $0.000 · 1270 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 == 6 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + 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: 320

correctcode.trace.python-v1conf 100% · 133ms · $0.000 · 668 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 9
while total + v <= 78:
    if v % 7 != 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: 64

correctcode.trace.js-v1conf 100% · 138ms · $0.000 · 331 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
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: 108

correctcode.trace.python-v1conf 95% · 120ms · $0.000 · 518 tok

question

What does this Python program print?

```python
total = 0
v = 4
while total + v <= 43:
    if v % 5 != 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: 16

correctcode.trace.nested-v1conf 95% · 150ms · $0.000 · 1077 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, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + 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: 128

correctcode.trace.js-v1conf 95% · 132ms · $0.000 · 124 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 * 2)
  .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: 36

wrongcode.trace.nested-v1conf 95% · 122ms · $0.000 · 1559 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 * 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: 222

correctcode.trace.python-v1conf 95% · 139ms · $0.000 · 519 tok

question

What does this Python program print?

```python
total = 0
v = 8
while total + v <= 74:
    if v % 3 != 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: 59

correctcode.trace.js-v1conf 100% · 139ms · $0.000 · 144 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 6)
  .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: 150

correctcode.trace.python-v1conf 95% · 131ms · $0.000 · 803 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 97:
    if v % 6 != 0:
        total += v
    v += 2
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: 96

wrongcode.trace.nested-v1conf 95% · 124ms · $0.000 · 1226 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, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 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: 200

correctcode.trace.nested-v1conf 95% · 124ms · $0.000 · 1600 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) % 4 == 0:
            continue
        total += i * 5 + 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: 352

correctcode.trace.js-v1conf 100% · 120ms · $0.000 · 138 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 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: 156

correctcode.trace.python-v1conf 95% · 131ms · $0.000 · 556 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 11
while total + v <= 67:
    if v % 6 != 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: 62

wrongcode.trace.js-v1conf 100% · 134ms · $0.000 · 173 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [6, 7, 8, 9, 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: 376

correctcode.trace.python-v1conf 100% · 149ms · $0.000 · 484 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 57:
    if v % 7 != 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: 51

wrongcode.trace.nested-v1conf 95% · 148ms · $0.000 · 1171 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, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + 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: 56

correctcode.trace.python-v1anchorconf 100% · 131ms · $0.000 · 1224 tok

model answer: 0

correctcode.trace.js-v1conf 100% · 133ms · $0.000 · 124 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [8, 9, 10, 11, 12, 13, 14];
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: 308

wrongcode.trace.nested-v1anchorconf 95% · 176ms · $0.000 · 1357 tok

model answer: 253

correctcode.trace.js-v1anchorconf 100% · 144ms · $0.000 · 124 tok

model answer: 63

correctcode.trace.python-v1anchorconf 95% · 171ms · $0.000 · 505 tok

model answer: 40

instruction following 16/30 correct

wrongif.constraints.stack-v1conf 100% · 109ms · $0.000 · 33 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "cedar" and the last word must be "orbit".
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: cedar nova morning frost nova chill nova stars in orbit

correctif.format.acronym-v1conf 100% · 118ms · $0.000 · 24 tok

question

Take the first letter of each of these words, in order: falcon, ember, nova, comet, 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: FENCC

correctif.format.repeat-v1conf 100% · 124ms · $0.000 · 35 tok

question

Write the word "quartz" 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: quartz/quartz/quartz/quartz/quartz/quartz

correctif.format.acronym-v1conf 100% · 117ms · $0.000 · 71 tok

question

Take the first letter of each of these words, in order: zephyr, ember, drift, prism, comet. 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: ZEDPC

wrongif.constraints.stack-v1conf 95% · 119ms · $0.000 · 42 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "orbit" and the last word must be "tundra".
3. Use the word "quartz" exactly 3 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: orbit quartz city glows with quartz lights, bustling quartz nightlife under tundra

correctif.format.repeat-v1conf 100% · 124ms · $0.000 · 36 tok

question

Write the word "lumen" in uppercase form, repeated exactly 4 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: LUMEN/LUMEN/LUMEN/LUMEN

wrongif.constraints.stack-v1conf 100% · 118ms · $0.000 · 44 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "nova" and the last word must be "echo".
3. Use the word "falcon" 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: nova falcon wakes with frosty breath falcon glides falcon whispers echo

correctif.format.acronym-v1conf 100% · 121ms · $0.000 · 64 tok

question

Take the first letter of each of these words, in order: cedar, prism, tundra, delta. 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: CPTD

correctif.format.repeat-v1conf 100% · 118ms · $0.000 · 64 tok

question

Write the word "drift" 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: DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT

wrongif.constraints.stack-v1conf 95% · 115ms · $0.000 · 40 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "flint" and the last word must be "echo".
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: flint cedar streets glow under cedar lights, bustling nightlife whispers an echo

wrongif.format.acronym-v1conf 100% · 115ms · $0.000 · 77 tok

question

Take the third letter of each of these words, in order: basalt, zephyr, ember, quartz, drift, nova. 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: APMUIV

correctif.format.repeat-v1conf 100% · 118ms · $0.000 · 30 tok

question

Write the word "echo" in lowercase 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: echo/echo/echo/echo/echo

wrongif.constraints.stack-v1conf 100% · 120ms · $0.000 · 25 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "quartz" and the last word must be "delta".
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 morning chill cedar delta

correctif.format.acronym-v1conf 100% · 125ms · $0.000 · 65 tok

question

Take the first letter of each of these words, in order: drift, delta, prism, ember, comet. 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: DDPEC

correctif.format.repeat-v1conf 100% · 156ms · $0.000 · 36 tok

question

Write the word "orbit" in uppercase 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_ORBIT

wrongif.constraints.stack-v1conf 95% · 137ms · $0.000 · 52 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "tundra" and the last word must be "quartz".
3. Use the word "orbit" 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: tundra lights dance in orbit under starry skies, orbiting city life, shimmering quartz.

wrongif.format.acronym-v1conf 100% · 115ms · $0.000 · 67 tok

question

Take the third letter of each of these words, in order: echo, lumen, flint, prism, comet. 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: CLUSM

correctif.format.repeat-v1conf 100% · 130ms · $0.000 · 64 tok

question

Write the word "prism" 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: PRISM/PRISM/PRISM/PRISM/PRISM/PRISM/PRISM/PRISM/PRISM

wrongif.constraints.stack-v1conf 95% · 119ms · $0.000 · 88 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "tundra" and the last word must be "quartz".
3. Use the word "drift" 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:

tundra drift machines hummed softly, relics of bygone eras, their gears slowly drift, whispering secrets, now silent, preserved in time, awaiting rediscovery, their quartz.

wrongif.format.acronym-v1conf 100% · 139ms · $0.000 · 73 tok

question

Take the third letter of each of these words, in order: ember, flint, basalt, cedar, comet, 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: MLSDOI

wrongif.constraints.stack-v1conf 95% · 123ms · $0.000 · 95 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 "quartz" and the last word must be "falcon".
3. Use the word "zephyr" exactly 3 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 zephyr rustles gently zephyr in the zephyr-drenched workshop, an ancient machine humming softly, its gears whispering secrets, now silent, awaiting the call of the falcon.

correctif.format.repeat-v1conf 100% · 123ms · $0.000 · 23 tok

question

Write the word "ember" in capitalized 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: EMBER/EMBER/EMBER

wrongif.format.acronym-v1conf 100% · 134ms · $0.000 · 67 tok

question

Take the second letter of each of these words, in order: lumen, drift, nova, delta, prism, 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: URVERL

correctif.format.repeat-v1conf 100% · 129ms · $0.000 · 43 tok

question

Write the word "ember" in uppercase 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: EMBER_EMBER_EMBER_EMBER_EMBER_EMBER_EMBER_EMBER

correctif.format.acronym-v1conf 100% · 113ms · $0.000 · 64 tok

question

Take the first letter of each of these words, in order: zephyr, flint, cedar, delta. 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: ZFCD

wrongif.constraints.stack-v1conf 95% · 119ms · $0.000 · 39 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "drift" and the last word must be "prism".
3. Use the word "ember" 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: drift ember ember ember rusted gears whispering ember soft glow prism

correctif.format.repeat-v1anchorconf 100% · 119ms · $0.000 · 44 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

wrongif.constraints.stack-v1anchorconf 95% · 120ms · $0.000 · 63 tok

model answer: drift lumen streets glow under lumen lanterns, lumen reflections dance, city hums, stars in silent orbit.

correctif.format.acronym-v1anchorconf 100% · 154ms · $0.000 · 66 tok

model answer: ZDFQ

correctif.format.repeat-v1anchorconf 100% · 126ms · $0.000 · 60 tok

model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR

knowledge 29/30 correct

correctknowledge.fr.factbank-v2conf 100% · 119ms · $0.000 · 12 tok

question

Identify the capital of Turkey.

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: Ankara

correctknowledge.fr.factbank-v2conf 100% · 111ms · $0.000 · 12 tok

question

Identify the Turkish 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: Ankara

correctknowledge.fr.factbank-v2conf 100% · 130ms · $0.000 · 12 tok

question

Name the element whose symbol is 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: Lead

correctknowledge.fr.factbank-v2conf 100% · 116ms · $0.000 · 12 tok

question

Name 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: Tin

correctknowledge.fr.factbank-v2conf 100% · 113ms · $0.000 · 14 tok

question

Identify 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 Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 262ms · $0.000 · 17 tok

question

Identify 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 Kawabata

correctknowledge.fr.factbank-v2conf 100% · 118ms · $0.000 · 12 tok

question

What is 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: Mercury

correctknowledge.fr.factbank-v2conf 100% · 128ms · $0.000 · 12 tok

question

Name the capital of Australia.

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: Canberra

correctknowledge.fr.factbank-v2conf 100% · 120ms · $0.000 · 12 tok

question

What is the Swiss capital (de facto)?

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: Bern

correctknowledge.fr.factbank-v2conf 100% · 121ms · $0.000 · 12 tok

question

What is the capital of Australia?

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: Canberra

correctknowledge.fr.factbank-v2conf 100% · 125ms · $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 Kawabata

correctknowledge.fr.factbank-v2conf 100% · 139ms · $0.000 · 17 tok

question

Name 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 Kawabata

correctknowledge.fr.factbank-v2conf 100% · 121ms · $0.000 · 12 tok

question

What is 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: Tin

correctknowledge.fr.factbank-v2conf 100% · 119ms · $0.000 · 16 tok

question

What is the writer of the novel "One Hundred Years of Solitude"?

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: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 132ms · $0.000 · 14 tok

question

Identify 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: Tungsten

wrongknowledge.fr.factbank-v2conf 100% · 114ms · $0.000 · 14 tok

question

Name the capital of Kazakhstan.

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: Nur-Sultan

correctknowledge.fr.factbank-v2conf 100% · 132ms · $0.000 · 14 tok

question

Identify 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 Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 122ms · $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 Kawabata

correctknowledge.fr.factbank-v2conf 100% · 121ms · $0.000 · 12 tok

question

Name the Turkish 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: Ankara

correctknowledge.fr.factbank-v2conf 100% · 124ms · $0.000 · 17 tok

question

What is 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 Kawabata

correctknowledge.fr.factbank-v2conf 100% · 133ms · $0.000 · 14 tok

question

Identify 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 Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 139ms · $0.000 · 12 tok

question

What is the element whose symbol is 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: Lead

correctknowledge.fr.factbank-v2anchorconf 100% · 1.5s · $0.000 · 14 tok

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 112ms · $0.000 · 13 tok

question

Name the element whose symbol is 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: Potassium

correctknowledge.fr.factbank-v2conf 100% · 115ms · $0.000 · 16 tok

question

What is the writer of the novel "One Hundred Years of Solitude"?

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: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 117ms · $0.000 · 17 tok

question

What is 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 Kawabata

correctknowledge.fr.factbank-v2conf 100% · 129ms · $0.000 · 13 tok

question

What is 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: Astana

correctknowledge.fr.factbank-v2anchorconf 100% · 122ms · $0.000 · 12 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 116ms · $0.000 · 14 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 120ms · $0.000 · 13 tok

model answer: Antimony

math 21/30 correct

correctmath.counterfactual.base-v1conf 100% · 120ms · $0.000 · 484 tok

question

Work strictly in base 13. Add the base-13 numbers 121A and 919. 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: 1B36

correctmath.chained.pipeline-v1conf 100% · 124ms · $0.000 · 170 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 30 × 23.
Step 2: Q = P × 4 − 721.
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: 344

correctmath.algebra.system-v2conf 100% · 128ms · $0.000 · 476 tok

question

Solve the system, then answer the derived question.

2x + 9y = -223
9x − 6y = -27

What is the value of 5x − 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: 41

wrongmath.percent.chain-v2conf 95% · 115ms · $0.000 · 308 tok

question

An inventory starts at 10000 units. The warehouse was painted 19 years ago. In the first month the inventory grows by 24%. Each pallet weighs about 16 grams more when wet. The next month it shrinks by 19%, and the month after it grows by 44%. 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: 14445.76

correctmath.arith.chain-v2conf 100% · 128ms · $0.000 · 236 tok

question

Evaluate the expression below and give the result.

(((28 × 49 − 810) × 4 + 9496) − 67 × 65) × 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: 14778

correctmath.chained.pipeline-v1conf 100% · 157ms · $0.000 · 173 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 42 × 71.
Step 2: Q = P × 6 − 260.
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: 5878

correctmath.counterfactual.base-v1conf 95% · 128ms · $0.000 · 303 tok

question

Work strictly in base 8. Multiply the base-8 numbers 66 and 74. 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: 6250

wrongmath.percent.chain-v2conf 95% · 150ms · $0.000 · 292 tok

question

An inventory starts at 47000 units. The warehouse was painted 12 years ago. In the first month the inventory grows by 35%. A rival firm shipped 77 unrelated parcels the same week. The next month it shrinks by 5%, and the month after it grows by 7%. 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: 64468.43

correctmath.algebra.system-v2conf 100% · 124ms · $0.000 · 314 tok

question

Solve the system, then answer the derived question.

3x + 6y = 114
7x − 7y = -28

What is the value of 5x − 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: -6

wrongmath.counterfactual.base-v1conf 95% · 134ms · $0.000 · 435 tok

question

Work strictly in base 7. Add the base-7 numbers 5665 and 4430. 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: 2442

correctmath.arith.chain-v2conf 100% · 115ms · $0.000 · 239 tok

question

Work out the exact value of this expression.

(((33 × 96 − 218) × 6 + 3780) − 88 × 98) × 5

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: 64280

correctmath.chained.pipeline-v1conf 100% · 114ms · $0.000 · 173 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 39 × 48.
Step 2: Q = P × 8 − 321.
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: 2445

wrongmath.percent.chain-v2conf 100% · 479ms · $0.000 · 297 tok

question

An inventory starts at 30000 units. The company was founded 136 kilometers from the port. In the first month the inventory grows by 23%. The company was founded 104 kilometers from the port. The next month it shrinks by 32%, and the month after it grows by 33%. 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: 33353.16

correctmath.algebra.system-v2conf 100% · 122ms · $0.000 · 399 tok

question

Solve the system, then answer the derived question.

6x + 3y = -204
9x − 8y = -131

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: -106

correctmath.arith.chain-v2conf 100% · 115ms · $0.000 · 238 tok

question

Evaluate the expression below and give the result.

(((71 × 72 − 981) × 3 + 9509) − 66 × 80) × 4

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: 66488

correctmath.counterfactual.base-v1conf 100% · 137ms · $0.000 · 405 tok

question

Work strictly in base 9. Multiply the base-9 numbers 60 and 23. 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: 1500

correctmath.chained.pipeline-v1conf 100% · 144ms · $0.000 · 164 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 27 × 20.
Step 2: Q = P × 3 − 925.
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: 176

wrongmath.percent.chain-v2conf 100% · 118ms · $0.000 · 315 tok

question

An inventory starts at 51000 units. The company was founded 63 kilometers from the port. In the first month the inventory grows by 10%. The company was founded 3 kilometers from the port. The next month it shrinks by 38%, and the month after it grows by 30%. 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: 45214.6

correctmath.algebra.system-v2conf 100% · 709ms · $0.000 · 461 tok

question

Solve the system, then answer the derived question.

7x + 6y = 28
3x − 4y = -34

What is the value of 3x − 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: -48

wrongmath.counterfactual.base-v1anchorconf 95% · 129ms · $0.000 · 2044 tok

model answer: 11034

correctmath.arith.chain-v2conf 100% · 131ms · $0.000 · 231 tok

question

Calculate the following. Show your reasoning, then answer.

(((32 × 70 − 553) × 8 + 3706) − 14 × 94) × 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: 47658

wrongmath.counterfactual.base-v1conf 95% · 113ms · $0.000 · 616 tok

question

Work strictly in base 13. Add the base-13 numbers 9C8 and 3C1. 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: 1B9

correctmath.chained.pipeline-v1conf 100% · 155ms · $0.000 · 165 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 22 × 70.
Step 2: Q = P × 6 − 644.
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: 2149

wrongmath.percent.chain-v2conf 100% · 127ms · $0.000 · 306 tok

question

An inventory starts at 72000 units. The company was founded 98 kilometers from the port. In the first month the inventory grows by 17%. The delivery van has a 22-liter fuel tank. The next month it shrinks by 20%, and the month after it grows by 36%. 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: 91603.52

correctmath.algebra.system-v2conf 100% · 130ms · $0.000 · 388 tok

question

Solve the system, then answer the derived question.

5x + 4y = 74
7x − 9y = 16

What is the value of 5x − 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: 20

correctmath.arith.chain-v2conf 100% · 122ms · $0.000 · 238 tok

question

Compute the value of the following expression.

(((93 × 65 − 468) × 4 + 8363) − 20 × 85) × 4

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: 115884

correctmath.chained.pipeline-v1conf 100% · 118ms · $0.000 · 166 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 64 × 15.
Step 2: Q = P × 4 − 472.
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: 376

wrongmath.percent.chain-v2anchorconf 95% · 127ms · $0.000 · 337 tok

model answer: 61822.44

correctmath.algebra.system-v2anchorconf 100% · 130ms · $0.000 · 313 tok

model answer: 87

correctmath.arith.chain-v2anchorconf 100% · 155ms · $0.000 · 221 tok

model answer: 108153

multilingual 25/30 correct

correctmultilingual.wordnum-v1conf 100% · 122ms · $0.000 · 67 tok

question

A number is written in French: « quatre-vingt-quinze ». Another is written in Spanish: « setecientos setenta y nueve ». 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: -684

correctmultilingual.wordnum-v1conf 100% · 115ms · $0.000 · 77 tok

question

A number is written in French: « quatre-vingt-dix-neuf ». Another is written in Spanish: « doscientos ochenta y cuatro ». 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: -185

correctmultilingual.numword-v2conf 100% · 120ms · $0.000 · 49 tok

question

Compute 216 + 152, 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: trescientos sesenta y ocho

correctmultilingual.numword-v2conf 100% · 137ms · $0.000 · 43 tok

question

Compute 432 + 341, 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 setenta y tres

correctmultilingual.wordnum-v1conf 100% · 214ms · $0.000 · 65 tok

question

A number is written in French: « quatre-vingt-six ». Another is written in Spanish: « trescientos ochenta 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: 473

correctmultilingual.numword-v2conf 100% · 131ms · $0.000 · 53 tok

question

Compute 454 + 243, 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: six cent quatre-vingt-dix-sept

correctmultilingual.wordnum-v1conf 100% · 112ms · $0.000 · 59 tok

question

A number is written in French: « cent treize ». Another is written in Spanish: « treinta 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: 81

wrongmultilingual.wordnum-v1conf 100% · 125ms · $0.000 · 69 tok

question

A number is written in French: « huit cent quatre-vingt-six ». Another is written in Spanish: « novecientos 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: 1761

correctmultilingual.numword-v2conf 100% · 122ms · $0.000 · 37 tok

question

Compute 403 + 399, 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: huit cent deux

correctmultilingual.wordnum-v1conf 100% · 123ms · $0.000 · 64 tok

question

A number is written in French: « huit cent soixante-sept ». Another is written in Spanish: « treinta y nueve ». 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: 828

wrongmultilingual.numword-v2conf 100% · 124ms · $0.000 · 27 tok

question

Compute 481 + 294, 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 cincuenta y cinco

wrongmultilingual.numword-v2conf 100% · 149ms · $0.000 · 49 tok

question

Compute 227 + 345, 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: cinq cent soixante-deux

correctmultilingual.wordnum-v1conf 100% · 121ms · $0.000 · 66 tok

question

A number is written in French: « cent cinquante-cinq ». Another is written in Spanish: « setecientos sesenta 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: 922

correctmultilingual.wordnum-v1conf 100% · 122ms · $0.000 · 63 tok

question

A number is written in French: « quatre cent soixante-quatre ». Another is written in Spanish: « ciento ochenta ». 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: 284

wrongmultilingual.numword-v2conf 100% · 125ms · $0.000 · 40 tok

question

Compute 238 + 165, 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: trois cent trois

correctmultilingual.wordnum-v1conf 100% · 112ms · $0.000 · 64 tok

question

A number is written in French: « quatre cent quarante ». Another is written in Spanish: « setecientos cuarenta y cuatro ». 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: -304

correctmultilingual.numword-v2conf 100% · 121ms · $0.000 · 23 tok

question

Compute 247 + 152, 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: trois cent quatre-vingt-dix-neuf

correctmultilingual.wordnum-v1conf 100% · 122ms · $0.000 · 62 tok

question

A number is written in French: « neuf cent quatre ». Another is written in Spanish: « ciento setenta 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: 732

correctmultilingual.numword-v2conf 100% · 119ms · $0.000 · 49 tok

question

Compute 494 + 205, 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: seiscientos noventa y nueve

correctmultilingual.numword-v2conf 100% · 118ms · $0.000 · 46 tok

question

Compute 72 + 402, 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: quatre cent soixante-quatorze

correctmultilingual.wordnum-v1conf 100% · 130ms · $0.000 · 62 tok

question

A number is written in French: « cent quarante et un ». Another is written in Spanish: « 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: 84

correctmultilingual.numword-v2conf 100% · 110ms · $0.000 · 44 tok

question

Compute 149 + 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: cuatrocientos setenta y nueve

correctmultilingual.wordnum-v1conf 100% · 121ms · $0.000 · 63 tok

question

A number is written in French: « cinq cent trente ». Another is written in Spanish: « doscientos sesenta 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: 268

correctmultilingual.wordnum-v1conf 100% · 305ms · $0.000 · 66 tok

question

A number is written in French: « deux cent cinquante-quatre ». Another is written in Spanish: « setecientos treinta y tres ». 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: -479

wrongmultilingual.numword-v2conf 100% · 122ms · $0.000 · 46 tok

question

Compute 356 + 168, 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: quatre cent vingt-quatre

correctmultilingual.numword-v2conf 100% · 123ms · $0.000 · 49 tok

question

Compute 297 + 356, 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: seiscientos cincuenta y tres

correctmultilingual.wordnum-v1anchorconf 100% · 137ms · $0.000 · 67 tok

model answer: 150

correctmultilingual.numword-v2anchorconf 100% · 131ms · $0.000 · 50 tok

model answer: huit cent soixante-dix-neuf

correctmultilingual.numword-v2anchorconf 100% · 410ms · $0.000 · 16 tok

model answer: seiscientos ocho

correctmultilingual.wordnum-v1anchorconf 100% · 144ms · $0.000 · 63 tok

model answer: 762

reasoning 23/30 correct

correctreasoning.deduction.order-v2conf 95% · 129ms · $0.000 · 429 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Rosa. Jonas is heavier than everyone here, but Jonas is not being ranked. Hana is older than Ola. Goran is older than Emil. Ola is older than Rosa. Liam is older than Rosa. Emil is older than Liam. Liam is older than Farah. Farah is older than Hana. Hana is older than Rosa. 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: Ola

wrongreasoning.deduction.position-v1conf 100% · 117ms · $0.000 · 19 tok

question

Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Ines. Jonas is number 3 in the queue. Ines is directly ahead of Jonas. 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: Rosa

correctreasoning.deduction.order-v2conf 95% · 123ms · $0.000 · 231 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Liam is taller than Kira. Kira is taller than Ola. Mona is faster than everyone here, but Mona is not being ranked. Rosa is taller than Liam. Nadir is taller than Rosa. Chen is taller than Alice. Ola is taller than Chen. Rosa is taller than Kira. Rosa is taller than Chen. Nadir is taller than Chen. Who is second (rank 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: Rosa

correctreasoning.deduction.position-v1conf 100% · 144ms · $0.000 · 77 tok

question

Four people stand in a queue (number 1 is the front). Kira is number 1 in the queue. Quinn is directly ahead of Nadir. Hana is directly ahead of Quinn. 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: Nadir

correctreasoning.deduction.order-v2conf 95% · 111ms · $0.000 · 471 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Rosa is faster than Liam. Farah is faster than Dara. Dara is faster than Priya. Emil is faster than Farah. Rosa is faster than Priya. Emil is faster than Farah. Emil is faster than Rosa. Liam is faster than Chen. Bruno is heavier than everyone here, but Bruno is not being ranked. Chen is faster than Farah. Who is second (rank 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: Rosa

wrongreasoning.deduction.order-v2conf 95% · 116ms · $0.000 · 426 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Alice. Jonas is taller than Kira. Chen is taller than Nadir. Kira is taller than Farah. Kira is taller than Alice. Emil is taller than Alice. Nadir is taller than Jonas. Rosa is heavier than everyone here, but Rosa is not being ranked. Nadir is taller than Farah. Farah is taller than Emil. 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: Jonas

correctreasoning.deduction.position-v1conf 100% · 130ms · $0.000 · 70 tok

question

Four people stand in a queue (number 1 is the front). Alice is directly ahead of Priya. Chen is directly ahead of Kira. Priya is number 2 in the queue. 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: Chen

wrongreasoning.deduction.position-v1conf 100% · 132ms · $0.000 · 19 tok

question

Four people stand in a queue (number 1 is the front). Chen is directly ahead of Hana. Hana is directly ahead of Mona. Mona 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: Chen

correctreasoning.deduction.order-v2conf 95% · 129ms · $0.000 · 399 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Emil. Emil is older than Dara. Dara is older than Bruno. Priya is faster than everyone here, but Priya is not being ranked. Bruno is older than Chen. Nadir is older than Bruno. Bruno is older than Hana. Hana is older than Chen. Goran is older than Nadir. Nadir is older than Emil. Who is second (rank 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: Nadir

correctreasoning.deduction.position-v1conf 100% · 115ms · $0.000 · 157 tok

question

Four people stand in a queue (number 1 is the front). Emil is directly ahead of Ines. Ines is number 4 in the queue. Bruno is directly ahead of Emil. Kira is directly ahead of Bruno. 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: Emil

correctreasoning.deduction.order-v2conf 95% · 132ms · $0.000 · 402 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Jonas is faster than Chen. Hana is faster than Jonas. Chen is faster than Goran. Bruno is heavier than everyone here, but Bruno is not being ranked. Farah is faster than Dara. Goran is faster than Tessa. Dara is faster than Hana. Chen is faster than Tessa. Chen is faster than Tessa. Farah is faster than Goran. 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: Hana

correctreasoning.deduction.position-v1conf 100% · 118ms · $0.000 · 80 tok

question

Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Emil. Chen is number 3 in the queue. Emil is directly ahead of Chen. 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: Jonas

correctreasoning.deduction.order-v2conf 95% · 134ms · $0.000 · 369 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Mona is older than Alice. Chen is older than Bruno. Mona is older than Jonas. Goran is older than Mona. Hana is older than Chen. Farah is heavier than everyone here, but Farah is not being ranked. Chen is older than Jonas. Bruno is older than Goran. Mona is older than Jonas. Alice is older than Jonas. 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: Alice

wrongreasoning.deduction.position-v1conf 100% · 291ms · $0.000 · 19 tok

question

Four people stand in a queue (number 1 is the front). Mona is directly ahead of Alice. Chen is number 3 in the queue. Alice is directly ahead of Chen. 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: Mona

correctreasoning.deduction.order-v2conf 95% · 743ms · $0.000 · 335 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Alice. Goran is faster than Quinn. Alice is faster than Mona. Quinn is faster than Farah. Tessa is faster than Farah. Mona is faster than Farah. Emil is heavier than everyone here, but Emil is not being ranked. Goran is faster than Alice. Dara is faster than Goran. Quinn is faster than Tessa. Who is second (rank 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: Goran

wrongreasoning.deduction.position-v1conf 100% · 121ms · $0.000 · 16 tok

question

Four people stand in a queue (number 1 is the front). Goran is directly ahead of Hana. Jonas is number 4 in the queue. Hana is directly ahead of Tessa. Tessa is directly ahead of Jonas. 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: Goran

correctreasoning.deduction.position-v1conf 100% · 133ms · $0.000 · 260 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Goran. Alice is directly ahead of Tessa. Goran is directly ahead of Alice. Tessa is number 4 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: Goran

correctreasoning.deduction.order-v2conf 95% · 126ms · $0.000 · 340 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is heavier than Liam. Farah is older than everyone here, but Farah is not being ranked. Hana is heavier than Rosa. Mona is heavier than Nadir. Nadir is heavier than Goran. Liam is heavier than Mona. Alice is heavier than Goran. Rosa is heavier than Goran. Nadir is heavier than Alice. Hana is heavier than Liam. Who is second (rank 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: Rosa

correctreasoning.deduction.order-v2conf 95% · 121ms · $0.000 · 269 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Mona. Mona is older than Chen. Chen is older than Jonas. Rosa is older than Tessa. Farah is older than Jonas. Priya is older than Rosa. Chen is older than Farah. Chen is older than Jonas. Quinn is taller than everyone here, but Quinn is not being ranked. Rosa is older than Jonas. 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: Mona

wrongreasoning.deduction.position-v1conf 100% · 340ms · $0.000 · 15 tok

question

Four people stand in a queue (number 1 is the front). Kira is directly ahead of Chen. Rosa is directly ahead of Kira. Chen is number 3 in the queue. 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: Rosa

correctreasoning.deduction.order-v2conf 95% · 121ms · $0.000 · 301 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Bruno. Goran is faster than Liam. Priya is faster than Sami. Sami is faster than Goran. Ola is faster than Bruno. Mona is faster than Ola. Priya is faster than Goran. Hana is older than everyone here, but Hana is not being ranked. Ola is faster than Priya. Liam is faster 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: Priya

correctreasoning.deduction.position-v1conf 100% · 172ms · $0.000 · 82 tok

question

Four people stand in a queue (number 1 is the front). Bruno is number 1 in the queue. Nadir is directly ahead of Farah. Farah is directly ahead of Alice. 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: Farah

correctreasoning.deduction.order-v2conf 95% · 121ms · $0.000 · 395 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Ola. Sami is faster than Tessa. Farah is faster than Liam. Tessa is faster than Hana. Dara is faster than Hana. Dara is faster than Sami. Farah is faster than Ola. Ola is faster than Dara. Rosa is heavier than everyone here, but Rosa is not being ranked. Sami is faster than Hana. 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: Tessa

correctreasoning.deduction.position-v1conf 100% · 157ms · $0.000 · 235 tok

question

Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Liam. Hana is number 2 in the queue. Priya 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: Liam

correctreasoning.deduction.position-v1conf 100% · 135ms · $0.000 · 140 tok

question

Four people stand in a queue (number 1 is the front). Goran is directly ahead of Hana. Bruno is directly ahead of Goran. Hana is directly ahead of Alice. Alice is number 4 in the queue. 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: Hana

wrongreasoning.deduction.order-v2conf 95% · 127ms · $0.000 · 351 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Jonas. Kira is older than Alice. Ines is older than Jonas. Ines is older than Tessa. Liam is faster than everyone here, but Liam is not being ranked. Alice is older than Tessa. Hana is older than Ines. Sami is older than Kira. Alice is older than Hana. Kira is older than Jonas. 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: Alice

correctreasoning.deduction.position-v1anchorconf 100% · 134ms · $0.000 · 89 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 95% · 146ms · $0.000 · 440 tok

model answer: Mona

correctreasoning.deduction.position-v1anchorconf 100% · 143ms · $0.000 · 312 tok

model answer: Farah

correctreasoning.deduction.order-v2anchorconf 95% · 120ms · $0.000 · 370 tok

model answer: Quinn

terminal 0/30 correct

wrongterminal.fs.tree-v1conf 100% · 117ms · $0.000 · 83 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/report.log
/proj/setup.md
/proj/src/main.log
/proj/src/util.log
/proj/todo.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
cp todo.txt build/
mkdir -p assets/src-8
mv todo.txt report-1.log
touch report-2.md
cd assets
mkdir -p ../../proj/build/conf-2
touch ../../proj/build/main-3.log
cp ../../proj/build/main-3.log src-8/
mkdir -p ../../proj/build-5
```

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% · 123ms · $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: amber, coral (one per line). No other files exist.

These statements run in order:

```sh
grep -q basil notes.txt && echo A || echo B
false && echo C || echo D
false && echo E || echo F
grep -q basil notes.txt && 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
F
H
exit:1

wrongterminal.fs.tree-v1conf 100% · 123ms · $0.000 · 68 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/src`, `/proj/docs`):

```
/proj/docs/main.log
/proj/docs/setup.log
/proj/draft.cfg
/proj/report.md
/proj/src/index.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 assets/util-9.log
rm docs/main.log
touch docs/setup-1.md
mv docs/setup.log src/
mkdir -p build-6
cp docs/setup-1.md src/
cd .
touch docs/main-7.md
cd assets
```

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% · 117ms · $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):

```
ivy,ops,101,36
gus,ops,34,75
cy,sales,87,51
fay,legal,25,24
dev,hr,86,25
ned,sales,12,60
jon,hr,112,47
lou,sales,41,22
hal,sales,114,54
oli,sales,87,57
kim,legal,85,92
ana,ops,115,11
```

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:

260
CONFIDENCE: 100

wrongterminal.exit.chain-v1conf 100% · 120ms · $0.000 · 22 tok

question

A POSIX shell session in a directory containing ONLY these files:

```
app.txt
notes.txt
```

`notes.txt` contains exactly the words: basil, dune (one per line). No other files exist.

These statements run in order:

```sh
grep -q basil notes.txt && echo A || echo B
false && echo C || echo D
false && echo E || echo F
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
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 121ms · $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):

```
kim,eng,103,61
oli,eng,24,60
dev,hr,87,91
jon,legal,30,43
pam,eng,62,48
ivy,ops,52,77
bo,hr,43,73
ned,sales,99,83
lou,ops,15,10
ana,sales,37,93
hal,legal,25,90
gus,sales,107,55
```

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:

189
CONFIDENCE: 100

wrongterminal.fs.tree-v1conf 100% · 122ms · $0.000 · 45 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/docs`):

```
/proj/assets/main.txt
/proj/docs/notes.md
/proj/docs/util.cfg
/proj/index.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
cp docs/util.cfg ./
touch logs/notes-1.txt
cp index.log logs/
cd .
mkdir -p conf-6
rm logs/notes-1.txt
```

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% · 120ms · $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: coral, dune (one per line). No other files exist.

These statements run in order:

```sh
test -f tmp.txt && echo A || echo B
test -f app.txt && echo C || echo D
test -f app.txt && echo E || echo F
grep -q dune notes.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
C
E
G
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 121ms · $0.000 · 83 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/draft.cfg
/proj/conf/report.cfg
/proj/docs/setup.cfg
/proj/todo.log
/proj/util.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
touch logs/report-7.md
mkdir -p conf/assets-7
cp docs/setup.cfg ./
cp setup.cfg logs/
touch conf/main-2.log
touch conf/setup-8.cfg
cd logs
mkdir -p ../../proj/docs/assets-5
```

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% · 113ms · $0.000 · 15 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,ops,116,29
pam,sales,21,57
ned,ops,76,30
jon,legal,71,30
cy,sales,69,21
ana,hr,38,27
lou,ops,64,25
ivy,ops,75,21
max,legal,94,81
eli,legal,25,22
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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: ned

wrongterminal.exit.chain-v1conf 100% · 117ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

```
app.txt
notes.txt
```

`notes.txt` contains exactly the words: dune, 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 app.txt && echo C || echo D
false && 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
F
exit:1

wrongterminal.pipeline.predict-v1conf 100% · 115ms · $0.000 · 13 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,ops,63,85
bo,sales,36,33
kim,legal,79,56
gus,eng,85,66
ivy,ops,7,29
jon,eng,68,54
oli,legal,34,15
ana,sales,43,58
pam,sales,48,51
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' 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: (none extracted)

wrongterminal.fs.tree-v1conf 100% · 124ms · $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/docs`, `/proj/assets`, `/proj/build`):

```
/proj/assets/index.cfg
/proj/build/util.cfg
/proj/docs/todo.md
/proj/report.log
/proj/setup.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
cd assets
cp index.cfg ../../proj/build/
touch util-9.md
touch ../../proj/notes-6.cfg
cd .
cp ../../proj/notes-6.cfg ./
mv notes-6.cfg ../../proj/build/
mv ../../proj/setup.md ../../proj/util-5.log
mv ../../proj/util-5.log ../../proj/draft-1.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.exit.chain-v1conf 100% · 120ms · $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, amber (one per line). No other files exist.

These statements run in order:

```sh
grep -q coral notes.txt && echo A || echo B
test -f app.txt && echo C || echo D
test -f tmp.txt && echo E || echo F
test -f ghost.txt && 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:

C
F
H
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 117ms · $0.000 · 72 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/conf`):

```
/proj/assets/index.cfg
/proj/build/notes.log
/proj/conf/todo.cfg
/proj/draft.log
/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
mkdir -p build-8
rm report.log
cd conf
touch ../../proj/util-9.cfg
cd ../../proj/assets
mkdir -p assets-2
mv ../../proj/conf/todo.cfg ../../proj/conf/notes-2.log
touch util-4.txt
mkdir -p ../../proj/src-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.pipeline.predict-v1conf 100% · 128ms · $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):

```
kim,ops,52,54
lou,sales,20,51
bo,eng,105,75
jon,legal,106,13
eli,legal,113,75
gus,legal,7,74
cy,ops,19,65
ivy,legal,20,52
oli,legal,57,52
max,eng,71,12
ned,eng,86,47
hal,eng,39,44
fay,ops,70,42
pam,legal,110,64
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' 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:

522
CONFIDENCE: 100

wrongterminal.exit.chain-v1conf 100% · 129ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

`notes.txt` contains exactly the words: amber, dune (one per line). No other files exist.

These statements run in order:

```sh
test -f tmp.txt && echo A || echo B
false && echo C || echo D
grep -q coral 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:0

wrongterminal.pipeline.predict-v1conf 100% · 121ms · $0.000 · 13 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,ops,117,29
pam,legal,115,10
fay,ops,28,26
bo,eng,66,30
kim,legal,68,91
jon,hr,31,58
oli,sales,37,93
lou,legal,20,77
ivy,hr,97,65
eli,sales,45,61
ned,sales,110,86
gus,hr,54,98
cy,legal,102,88
ana,ops,39,97
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 65 { 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% · 487ms · $0.000 · 49 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/build`):

```
/proj/docs/index.txt
/proj/docs/notes.log
/proj/docs/setup.txt
/proj/report.log
/proj/util.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
touch build/report-1.cfg
cd build
rm ../../proj/docs/setup.txt
mkdir -p ../../proj/docs-8
mv ../../proj/util.log ../../proj/report-6.log
mkdir -p ../../proj/docs-8/conf-5
mkdir -p ../../proj/conf/docs-8
touch ../../proj/notes-8.log
```

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% · 114ms · $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: dune, basil (one per line). No other files exist.

These statements run in order:

```sh
grep -q amber notes.txt && echo A || echo B
test -f data.txt && echo C || echo D
test -f ghost.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
D
F
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 119ms · $0.000 · 20 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,eng,25,49
ana,eng,70,12
kim,ops,107,18
eli,legal,40,72
gus,sales,99,44
cy,ops,7,87
max,hr,71,51
ivy,legal,31,81
pam,hr,10,53
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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:

kim,107
cy,7

wrongterminal.exit.chain-v1conf 100% · 131ms · $0.000 · 22 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
grep -q coral notes.txt && echo A || echo B
true && echo C || echo D
grep -q dune notes.txt && echo E || echo F
test -f data.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
F
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 115ms · $0.000 · 48 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/docs`, `/proj/build`):

```
/proj/assets/util.txt
/proj/docs/main.md
/proj/docs/setup.txt
/proj/draft.md
/proj/report.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 draft.md
cd docs
rm ../../proj/report.cfg
mv main.md ./
cd ../../proj
touch main-8.cfg
mkdir -p conf-9
cd .
mkdir -p assets/build-5
```

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% · 112ms · $0.000 · 13 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,ops,67,56
lou,ops,60,51
jon,sales,92,52
ned,eng,89,92
kim,sales,92,58
hal,eng,31,89
bo,legal,19,21
cy,sales,59,35
ana,ops,120,74
ivy,sales,95,24
eli,hr,84,73
fay,sales,60,59
max,eng,12,61
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 40 { 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% · 121ms · $0.000 · 55 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/build`):

```
/proj/build/index.md
/proj/conf/notes.txt
/proj/docs/report.md
/proj/main.log
/proj/todo.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
mkdir -p conf/src-1
mv main.log docs/
cp conf/notes.txt ./
cd conf
touch src-1/notes-7.log
mv ../../proj/docs/report.md ../../proj/docs/index-4.cfg
cp ../../proj/notes.txt ../../proj/docs/
rm ../../proj/build/index.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.exit.chain-v1conf 100% · 120ms · $0.000 · 22 tok

question

A POSIX shell session in a directory containing ONLY these files:

```
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
true && echo A || echo B
grep -q dune notes.txt && echo C || echo D
grep -q dune notes.txt && echo E || echo F
test -f data.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:0

wrongterminal.pipeline.predict-v1anchorconf 100% · 125ms · $0.000 · 34 tok

model answer: (none extracted)

wrongterminal.fs.tree-v1anchorconf 100% · 118ms · $0.000 · 68 tok

model answer: (none extracted)

wrongterminal.exit.chain-v1anchorconf 100% · 123ms · $0.000 · 22 tok

model answer:

D
E
G
exit:0

wrongterminal.pipeline.predict-v1anchorconf 100% · 125ms · $0.000 · 13 tok

model answer: (none extracted)

Run history

2026-08-05v0.2.0index_fit472
2026-08-05v0.2.0index_fit472
2026-08-05v0.2.0index_fit472
2026-08-05v0.2.0index_fit471
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2026-08-05v0.2.0index_fit481
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2026-08-05v0.2.0index_fit484
2026-08-05v0.2.0index_fit482
2026-08-05v0.2.0index_fit481
2026-08-05v0.2.0index_fit480
2026-08-05v0.2.0index_fit481
2026-08-05v0.2.0index_fit483
2026-08-05v0.2.0index_fit484
2026-08-05v0.2.0index_fit483
2026-08-05v0.2.0index_fit482

IIBM: Granite 4.1 8B

Global Index

Per-domain scores

Every answer, every test

Run history

IBM: Granite 4.1 8B