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OpenAI: gpt-oss-20b
openai/gpt-oss-20b · openai · context 131 072 · in $0.030/1M · out $0.130/1M
Global Index
762
95% CI [709–816] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| code | 875 [754–996] | 0.792 | 1.00 | 1.00 | 0.000 | 285ms | $0.117 | |
| instruction following | 589 [455–723] | 0.589 | 0.79 | 0.86 | 0.160 | 285ms | $0.054 | |
| knowledge | 675 [511–839] | 0.520 | 0.97 | 0.97 | 0.038 | 213ms | $0.021 | |
| math | 799 [643–956] | 0.683 | 0.95 | 0.97 | 0.000 | 230ms | $0.098 | |
| multilingual | 702 [545–860] | 0.618 | 0.95 | 0.97 | 0.077 | 264ms | $0.063 | |
| reasoning | 788 [641–936] | 0.706 | 0.98 | 0.98 | 0.040 | 219ms | $0.118 | |
| terminal | 909 [822–997] | 0.849 | 1.00 | 1.00 | 0.000 | 258ms | $0.150 |
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 23/30 correct
truncatedagentic.tools.context-load-v1conf — · 180ms · $0.002 · 16384 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 (230 records, format: id|customer|region|item|qty|status):
```
2393|fulton|south|gasket|50|held
2385|acme|west|pump|55|shipped
2196|fulton|north|sensor|72|paid
1942|ember|north|panel|71|held
1543|acme|south|rotor|53|held
1853|cobalt|west|sensor|14|paid
1876|dorian|south|gasket|39|pending
2103|fulton|west|rotor|89|held
1867|ionic|north|gasket|91|pending
2387|ionic|south|rotor|71|pending
1560|fulton|south|rotor|21|held
2009|cobalt|north|panel|90|paid
2328|gale|north|gasket|76|paid
1848|dorian|east|gasket|91|held
1584|birch|north|sensor|92|paid
1793|fulton|south|cable|91|paid
2189|fulton|south|cable|72|paid
1672|juno|east|gasket|23|shipped
1895|dorian|west|frame|78|shipped
2262|ionic|north|rotor|69|paid
2290|juno|north|sensor|48|paid
2126|cobalt|east|frame|55|held
1505|gale|east|gasket|13|pending
2350|dorian|south|gasket|58|held
2239|ionic|east|panel|97|pending
2233|ionic|west|sensor|25|pending
1999|gale|north|pump|12|held
1970|fulton|north|sensor|15|paid
1862|dorian|west|panel|42|held
2184|acme|west|frame|55|paid
2306|ember|west|gasket|55|shipped
2035|ionic|west|frame|48|pending
2115|ionic|north|rotor|90|held
1670|gale|east|panel|17|held
2146|dorian|east|panel|20|paid
1582|juno|north|frame|98|pending
2060|cobalt|south|sensor|58|pending
2362|harbor|south|cable|45|paid
1784|gale|east|valve|47|paid
1903|fulton|south|sensor|96|paid
2100|birch|south|pump|50|held
1673|dorian|west|gasket|76|held
2054|birch|east|panel|53|shipped
2111|ember|south|gasket|53|held
2346|gale|east|frame|10|pending
2245|fulton|west|sensor|73|paid
1997|cobalt|north|frame|85|paid
2042|dorian|north|frame|67|held
2217|ember|east|rotor|65|shipped
2136|cobalt|east|pump|77|shipped
1654|acme|south|pump|98|pending
2377|fulton|south|gasket|97|held
1901|cobalt|north|rotor|67|paid
2105|juno|west|gasket|29|paid
1549|ember|north|sensor|12|shipped
2354|ionic|east|valve|79|pending
1965|ember|west|rotor|55|paid
1735|harbor|west|sensor|22|paid
2113|ionic|south|panel|19|paid
2251|cobalt|east|panel|95|pending
1873|birch|east|gasket|20|held
2315|gale|west|gasket|22|paid
2339|acme|north|pump|23|held
1776|birch|south|frame|75|held
2321|ionic|west|rotor|81|paid
2033|birch|east|cable|52|shipped
1520|gale|west|cable|77|held
2066|birch|north|sensor|69|pending
2046|harbor|north|rotor|41|held
2168|juno|south|pump|48|pending
2091|harbor|south|panel|78|shipped
1566|acme|east|rotor|46|shipped
1941|harbor|north|panel|50|pending
1887|harbor|north|panel|93|held
2141|birch|west|frame|50|paid
1918|cobalt|south|frame|80|paid
1500|gale|west|valve|40|paid
2367|dorian|north|pump|80|held
1946|ember|east|frame|41|held
1684|fulton|west|rotor|34|held
1706|cobalt|west|gasket|37|paid
1679|gale|north|gasket|48|held
2166|cobalt|south|frame|21|shipped
1752|cobalt|east|pump|98|held
1818|ember|north|sensor|25|shipped
1939|cobalt|north|valve|17|held
1891|juno|north|valve|20|pending
1933|fulton|north|pump|27|paid
2002|cobalt|west|cable|62|pending
2389|ember|east|panel|29|shipped
2280|gale|north|gasket|51|pending
2017|cobalt|south|rotor|28|held
2026|juno|south|panel|10|pending
2197|ionic|south|cable|80|held
1909|cobalt|south|rotor|81|pending
1801|birch|west|frame|33|held
1637|ember|west|pump|35|pending
2243|birch|north|cable|69|shipped
1807|ember|east|panel|47|shipped
1834|cobalt|east|cable|25|pending
2144|fulton|south|valve|11|held
1927|ember|east|panel|66|shipped
1734|ember|north|rotor|81|paid
2084|ionic|west|rotor|94|paid
2253|fulton|south|pump|40|pending
1746|acme|east|frame|40|shipped
2078|juno|north|sensor|87|pending
2162|gale|east|rotor|57|shipped
2300|juno|north|sensor|75|held
1570|birch|west|pump|26|shipped
1915|birch|north|pump|43|shipped
1821|dorian|south|pump|81|held
1696|acme|west|sensor|30|pending
1659|harbor|north|pump|97|held
1790|acme|north|gasket|63|held
1666|juno|west|panel|29|pending
2204|ember|east|valve|47|pending
2119|fulton|south|frame|22|held
1713|harbor|north|rotor|74|held
1726|ember|west|rotor|60|pending
1844|fulton|east|pump|23|pending
1960|gale|north|panel|34|paid
1757|birch|east|cable|15|pending
1856|ionic|south|panel|25|paid
1611|gale|north|pump|54|pending
2397|fulton|south|panel|86|shipped
2274|ionic|south|frame|61|paid
1638|dorian|east|pump|33|held
1883|harbor|south|panel|48|pending
1667|juno|east|sensor|26|held
2182|gale|north|valve|93|paid
1788|harbor|east|panel|68|paid
2223|birch|west|sensor|90|shipped
1568|gale|west|sensor|14|pending
2296|fulton|east|cable|47|shipped
1783|cobalt|north|frame|34|shipped
1625|gale|west|frame|36|held
2161|cobalt|east|pump|81|shipped
2372|ionic|south|valve|88|pending
1576|dorian|east|pump|29|pending
1766|fulton|west|pump|27|shipped
1763|fulton|north|panel|10|paid
2151|fulton|south|frame|48|paid
1656|birch|north|panel|25|paid
1645|ionic|south|sensor|62|held
1717|fulton|west|pump|41|held
2112|acme|north|valve|75|shipped
1984|birch|south|rotor|18|held
1524|gale|west|gasket|22|pending
1953|cobalt|south|cable|25|held
1711|ember|south|gasket|35|pending
2381|gale|west|pump|84|pending
1977|juno|north|rotor|52|pending
2226|ember|east|pump|36|pending
2348|juno|north|pump|33|held
2130|harbor|north|frame|29|held
1691|birch|north|pump|43|held
2268|birch|west|panel|80|shipped
2258|juno|north|sensor|90|shipped
1510|gale|west|valve|97|pending
1556|birch|south|valve|13|pending
2287|fulton|west|frame|17|paid
1922|ionic|north|gasket|85|paid
2114|harbor|south|rotor|43|pending
1986|ionic|west|valve|54|shipped
1724|harbor|north|panel|82|held
1606|dorian|north|sensor|97|held
2216|juno|west|cable|24|shipped
2309|harbor|north|valve|92|held
1652|juno|west|pump|96|shipped
2200|juno|north|panel|29|shipped
2152|juno|south|gasket|65|paid
1894|gale|west|cable|86|shipped
1508|gale|west|panel|55|paid
1798|juno|east|sensor|83|paid
2404|ionic|north|pump|65|pending
1530|gale|south|frame|60|pending
2013|fulton|north|frame|79|paid
1595|fulton|north|panel|66|held
1516|gale|east|frame|69|pending
1627|juno|west|gasket|92|paid
2072|juno|south|frame|77|held
2357|cobalt|east|frame|36|paid
2175|gale|east|panel|61|paid
1733|birch|south|cable|77|shipped
2012|acme|east|valve|76|pending
1577|juno|south|sensor|48|pending
1693|acme|south|panel|42|held
1616|ember|west|frame|46|pending
2024|harbor|west|panel|56|held
2333|harbor|south|frame|85|pending
2039|gale|south|panel|65|pending
1619|ionic|west|gasket|93|pending
2322|ember|east|gasket|47|held
1952|harbor|north|rotor|77|shipped
1675|dorian|east|sensor|38|held
2082|fulton|east|cable|56|shipped
2148|dorian|north|cable|94|shipped
2376|dorian|west|cable|36|pending
1531|gale|west|valve|90|held
2094|harbor|west|gasket|51|held
1811|birch|east|pump|41|pending
2307|ember|east|frame|93|held
1497|gale|south|sensor|96|pending
1755|cobalt|south|cable|40|shipped
1770|ionic|south|frame|96|shipped
1532|harbor|south|pump|81|shipped
1538|juno|east|cable|59|held
2278|dorian|west|sensor|49|held
1602|juno|south|panel|30|shipped
1699|acme|west|frame|73|pending
1502|gale|west|panel|87|pending
2209|ionic|east|gasket|73|pending
2157|birch|south|rotor|54|held
1971|ember|north|sensor|23|held
1990|acme|east|cable|31|pending
1653|birch|east|frame|69|pending
1630|cobalt|south|frame|64|shipped
2122|gale|east|sensor|33|paid
1808|acme|east|cable|45|pending
1496|gale|west|sensor|38|pending
1741|juno|north|pump|68|held
1591|juno|north|frame|30|shipped
2052|juno|west|frame|70|paid
1827|gale|north|valve|35|pending
1731|dorian|south|sensor|34|held
2277|fulton|east|frame|82|shipped
1572|gale|south|gasket|86|held
1615|cobalt|west|pump|98|pending
1840|harbor|north|sensor|51|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, 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)correctagentic.tools.context-load-v1conf 100% · 176ms · $0.002 · 14334 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 (238 records, format: id|customer|region|item|qty|status):
```
1434|acme|north|pump|82|held
1531|fulton|west|sensor|47|paid
1535|acme|west|panel|18|paid
1380|harbor|north|valve|16|shipped
2083|cobalt|east|panel|30|pending
1406|cobalt|west|sensor|16|shipped
1189|birch|west|cable|20|pending
1263|fulton|east|sensor|76|pending
2039|juno|east|cable|36|paid
1461|gale|east|panel|16|paid
1236|birch|west|cable|73|held
1272|acme|west|rotor|83|pending
1775|dorian|east|gasket|37|paid
1343|cobalt|north|frame|92|held
1809|acme|north|rotor|55|held
1192|birch|south|cable|29|pending
1679|juno|west|cable|59|paid
1964|juno|south|gasket|55|shipped
1855|dorian|north|cable|59|paid
1366|acme|east|sensor|46|shipped
1381|ionic|west|cable|89|pending
1456|acme|west|rotor|41|paid
1935|fulton|north|panel|96|shipped
1644|fulton|east|cable|69|pending
1235|birch|east|sensor|98|pending
1384|dorian|north|gasket|53|shipped
1451|ionic|west|gasket|68|paid
1206|birch|west|pump|40|held
2003|dorian|north|valve|55|paid
1820|ember|north|valve|24|held
1356|ionic|west|gasket|33|held
2063|cobalt|east|pump|86|held
1248|harbor|west|rotor|82|pending
1490|juno|north|sensor|78|held
1808|juno|north|sensor|86|paid
1793|ember|west|panel|19|paid
1846|birch|east|rotor|59|held
1218|birch|north|valve|50|pending
1279|gale|west|pump|24|pending
1754|harbor|east|gasket|17|held
1452|ember|west|panel|77|paid
2070|harbor|west|gasket|61|paid
1888|dorian|north|frame|47|shipped
1193|birch|west|gasket|49|paid
1654|acme|south|valve|31|pending
1229|birch|west|panel|12|pending
1429|acme|south|rotor|29|pending
1458|cobalt|west|cable|35|paid
1612|ember|west|panel|20|shipped
1994|gale|south|valve|89|pending
1278|acme|east|pump|76|pending
1201|birch|east|valve|46|pending
1516|harbor|north|cable|26|shipped
1739|fulton|south|frame|60|held
1844|harbor|west|valve|69|shipped
1486|ember|south|cable|41|pending
1562|cobalt|north|cable|70|shipped
2014|harbor|south|pump|67|pending
1948|ionic|east|valve|34|shipped
1238|harbor|north|rotor|69|paid
1266|fulton|north|pump|26|paid
1767|fulton|east|gasket|71|shipped
1426|dorian|west|pump|14|held
1989|juno|north|rotor|97|paid
1339|cobalt|north|gasket|23|pending
1959|cobalt|east|frame|56|held
1360|juno|east|rotor|59|pending
1916|acme|east|frame|61|shipped
1751|ionic|south|sensor|54|held
1636|gale|east|pump|96|pending
1951|cobalt|east|frame|30|paid
1847|acme|north|panel|97|pending
1307|cobalt|east|cable|58|paid
1726|acme|west|panel|27|pending
1225|birch|west|sensor|73|held
2030|ember|south|gasket|33|paid
1947|juno|east|gasket|87|pending
1215|birch|west|rotor|39|pending
1896|fulton|north|valve|22|pending
2044|fulton|west|cable|13|shipped
1440|dorian|north|pump|30|paid
2015|cobalt|north|rotor|11|pending
1984|ember|north|pump|18|shipped
1604|fulton|south|cable|14|pending
1976|juno|north|gasket|23|pending
1288|fulton|north|frame|16|held
1615|juno|south|panel|41|held
1413|ionic|north|cable|94|held
1412|acme|west|pump|67|held
1549|acme|east|sensor|23|pending
1441|birch|south|sensor|74|held
1781|acme|south|valve|15|paid
1705|fulton|west|gasket|58|paid
1956|gale|east|cable|99|shipped
2032|acme|west|sensor|11|held
1907|ionic|east|panel|19|paid
1804|ember|west|valve|18|paid
1395|fulton|north|frame|36|held
2078|dorian|north|valve|70|held
2022|cobalt|east|gasket|18|shipped
1398|gale|north|frame|13|pending
1511|ember|west|frame|88|pending
1828|ionic|east|sensor|74|held
1691|harbor|west|panel|91|held
1502|fulton|east|frame|86|paid
1521|cobalt|south|cable|55|shipped
1669|gale|north|cable|78|paid
1487|ionic|south|pump|17|paid
1337|cobalt|west|gasket|11|pending
1312|dorian|south|valve|34|shipped
1464|ember|east|pump|66|shipped
1468|harbor|south|sensor|72|paid
1914|acme|east|gasket|13|paid
1293|ember|south|pump|90|paid
1650|ionic|west|pump|32|paid
1883|dorian|west|rotor|87|paid
1321|dorian|east|panel|12|shipped
1740|gale|east|frame|58|paid
1348|fulton|north|sensor|49|pending
1734|ionic|east|frame|24|paid
1194|birch|west|pump|56|pending
1689|ember|east|valve|60|held
1207|birch|west|rotor|27|pending
1704|ionic|north|sensor|47|paid
2057|ionic|west|cable|79|paid
1921|birch|north|rotor|68|held
1374|birch|south|cable|67|pending
1712|ionic|east|frame|69|shipped
1256|harbor|north|gasket|59|paid
1617|dorian|west|rotor|74|shipped
1800|acme|east|pump|98|held
1542|acme|south|cable|11|paid
1696|dorian|west|cable|52|paid
1488|acme|east|gasket|57|pending
1944|birch|west|valve|20|held
1249|cobalt|east|pump|86|shipped
1425|ionic|north|panel|84|held
2031|harbor|east|pump|74|pending
1373|dorian|west|pump|48|shipped
1963|juno|east|rotor|73|pending
1284|ionic|north|gasket|77|shipped
1700|dorian|north|gasket|69|paid
1476|fulton|north|valve|18|paid
1587|juno|west|panel|96|paid
2058|harbor|east|valve|65|pending
1815|dorian|south|sensor|44|paid
1894|birch|south|sensor|33|pending
1832|dorian|north|gasket|60|pending
1749|dorian|south|panel|25|held
1485|birch|east|panel|25|held
1859|harbor|south|valve|27|paid
1334|ember|south|pump|68|pending
1624|cobalt|east|valve|93|shipped
1687|harbor|north|pump|37|pending
1610|ember|south|frame|96|pending
1526|acme|east|sensor|63|pending
1571|dorian|east|frame|29|paid
1926|ionic|east|valve|39|shipped
1481|ember|east|rotor|43|paid
1359|fulton|west|frame|61|pending
1518|ember|west|panel|76|held
2007|dorian|south|pump|42|pending
1421|juno|west|panel|89|held
2019|ionic|north|valve|70|pending
1596|acme|south|pump|54|shipped
1354|acme|south|sensor|57|paid
2067|acme|north|valve|10|paid
1933|cobalt|west|panel|86|paid
1870|ember|west|sensor|68|pending
2029|harbor|east|panel|57|pending
1876|fulton|north|rotor|44|paid
2074|fulton|south|valve|14|held
1576|gale|north|sensor|13|shipped
1980|gale|east|valve|27|paid
1568|acme|east|pump|57|shipped
1497|birch|east|valve|26|paid
1415|fulton|north|panel|51|held
1765|juno|west|panel|41|held
1243|cobalt|south|cable|15|pending
2020|juno|west|valve|54|shipped
1723|juno|east|panel|84|shipped
1285|gale|north|valve|84|paid
1758|cobalt|east|panel|22|held
1336|birch|south|panel|30|paid
1664|birch|south|frame|74|shipped
1389|cobalt|east|pump|90|shipped
1246|juno|south|pump|71|pending
1300|birch|east|rotor|73|held
2041|dorian|east|valve|64|held
1850|birch|east|cable|26|held
1553|cobalt|south|valve|12|shipped
1507|ember|south|cable|88|held
1213|birch|west|panel|74|paid
1639|fulton|west|panel|71|pending
1500|birch|north|cable|37|paid
1556|dorian|east|valve|97|held
1864|dorian|south|valve|79|held
1306|birch|north|valve|85|pending
1791|harbor|south|panel|33|pending
1595|cobalt|north|frame|96|shipped
1211|birch|south|gasket|77|pending
1835|cobalt|south|panel|59|shipped
1317|gale|west|valve|77|paid
1996|juno|west|rotor|35|held
1826|ionic|north|pump|82|paid
1494|ember|north|gasket|52|held
1988|juno|west|frame|80|held
1473|acme|east|rotor|76|paid
1939|gale|west|rotor|19|held
1580|ionic|east|sensor|59|pending
1326|cobalt|north|sensor|11|paid
1314|gale|south|panel|31|paid
1718|acme|east|rotor|34|shipped
1405|acme|south|panel|41|shipped
1746|ember|west|gasket|84|paid
1396|harbor|north|gasket|29|shipped
1701|acme|south|frame|43|pending
1787|gale|east|gasket|79|pending
1900|ember|south|sensor|54|shipped
1969|ember|south|frame|56|held
1673|harbor|east|gasket|37|pending
1697|ember|east|pump|57|held
2077|acme|west|cable|26|shipped
1449|ember|south|rotor|26|shipped
1590|ionic|east|sensor|78|pending
1970|juno|west|sensor|81|pending
1686|acme|north|cable|48|pending
1771|fulton|east|pump|92|held
1753|harbor|west|valve|91|held
1756|fulton|north|rotor|56|held
1661|gale|north|panel|63|paid
1601|cobalt|west|frame|56|paid
1443|fulton|west|sensor|83|pending
1838|ember|east|cable|54|shipped
1630|ionic|east|rotor|22|shipped
1732|dorian|north|valve|19|shipped
2050|fulton|south|valve|30|pending
1332|ember|west|panel|34|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1189}},
{"tool":"cancel_order","args":{"order_id":1194}},
{"tool":"cancel_order","args":{"order_id":1207}},
{"tool":"cancel_order","args":{"order_id":1215}},
{"tool":"cancel_order","args":{"order_id":1229}}
]correctagentic.tools.ledger-v1conf 100% · 241ms · $0.000 · 483 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: $305
- oscar: $766
- bravo: $350
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $124 from "bravo" to "oscar"
2. pay $290 from "oscar" to "alpha"
3. pay $571 from "alpha" to "oscar"
4. pay $390 from "oscar" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"bravo","to":"oscar","amount":124}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":290}},
{"tool":"transfer","args":{"from":"alpha","to":"oscar","amount":571}},
{"tool":"transfer","args":{"from":"oscar","to":"bravo","amount":390}}
]correctagentic.tools.triage-v1conf 100% · 758ms · $0.000 · 690 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 → chen
- data → okafor
- infra → dubois
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 4)
2. "invoice total wrong" (category: payments, priority 4)
3. "webhooks not delivered" (category: infra, priority 2)
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":"invoice total wrong","priority":4}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"chen"}},
{"tool":"create_ticket","args":{"title":"invoice total wrong","priority":4}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"webhooks not delivered","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"dubois"}}
]correctagentic.tools.deploy-v1conf 100% · 240ms · $0.000 · 603 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
- auth-svc: gateway
- reports: (none)
- gateway: 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 "auth-svc" 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":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"health_check","args":{"service":"auth-svc"}}
]correctagentic.tools.ledger-v1conf 100% · 479ms · $0.000 · 996 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: $774
- kilo: $616
- alpha: $869
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $271 from "bravo" to "alpha"
2. pay $579 from "kilo" to "bravo"
3. pay $396 from "kilo" to "alpha"
4. pay $483 from "kilo" to "alpha"
5. pay $375 from "bravo" 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":"bravo","to":"alpha","amount":271}},
{"tool":"transfer","args":{"from":"kilo","to":"bravo","amount":579}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":359}},
{"tool":"transfer","args":{"from":"kilo","to":"alpha","amount":396}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":483}},
{"tool":"transfer","args":{"from":"kilo","to":"alpha","amount":483}},
{"tool":"transfer","args":{"from":"bravo","to":"kilo","amount":375}}
]correctagentic.tools.triage-v1conf 100% · 325ms · $0.000 · 1072 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
- payments → chen
- infra → haddad
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 2)
2. "card declined at checkout" (category: payments, priority 9)
3. "API latency spikes" (category: infra, priority 4)
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":"locked out after 2FA change","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"tanaka"}},
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-2"}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"chen"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":4}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"haddad"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":4}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-3"}}
]truncatedagentic.tools.context-load-v1conf — · 761ms · $0.002 · 16384 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 (231 records, format: id|customer|region|item|qty|status):
```
1926|juno|east|pump|26|held
1687|cobalt|north|gasket|37|pending
1932|fulton|south|rotor|89|shipped
1237|juno|north|cable|89|shipped
1749|acme|east|panel|32|shipped
1568|fulton|west|valve|15|pending
1406|fulton|east|rotor|87|paid
1346|acme|west|pump|46|held
1883|cobalt|north|valve|43|held
1701|cobalt|west|panel|19|held
1405|birch|north|sensor|41|pending
1913|ember|east|cable|81|pending
1857|acme|north|sensor|76|paid
1228|fulton|west|panel|67|paid
1155|cobalt|north|rotor|96|shipped
1799|ionic|west|panel|59|paid
1254|birch|east|cable|87|shipped
1914|cobalt|north|valve|16|paid
1195|ember|south|panel|59|shipped
1212|ember|north|frame|31|shipped
1566|harbor|south|rotor|88|pending
1318|ember|east|gasket|80|paid
1484|ember|east|cable|21|paid
1306|gale|west|pump|36|pending
2000|fulton|east|panel|76|pending
1485|juno|east|frame|10|pending
1716|cobalt|east|valve|74|shipped
1816|ember|west|panel|56|pending
1826|acme|south|gasket|95|held
1136|birch|south|cable|36|paid
1364|ember|north|rotor|33|held
1129|harbor|west|frame|37|held
1311|ionic|east|rotor|80|pending
1303|juno|north|panel|59|pending
1459|cobalt|south|gasket|46|held
1433|ember|west|sensor|44|pending
1326|juno|north|rotor|39|paid
1595|harbor|west|rotor|17|shipped
1668|juno|east|frame|79|paid
1627|dorian|west|pump|54|held
1952|cobalt|west|sensor|72|held
1832|juno|west|cable|33|held
2007|ember|west|pump|13|shipped
1380|dorian|south|rotor|28|paid
1123|gale|east|rotor|36|paid
1115|gale|east|pump|49|pending
1327|gale|south|panel|39|held
1247|ionic|east|rotor|66|paid
1272|cobalt|south|valve|90|paid
1934|gale|north|valve|85|pending
1735|harbor|west|rotor|19|held
1534|juno|west|sensor|12|pending
1446|ionic|north|panel|78|shipped
1708|dorian|east|pump|98|shipped
2023|ionic|west|pump|80|shipped
1679|birch|west|valve|14|paid
1640|ionic|south|valve|65|shipped
1972|birch|west|gasket|60|shipped
1312|juno|south|frame|56|pending
1616|birch|north|gasket|32|held
1160|juno|west|pump|44|paid
1207|ember|south|rotor|48|held
1217|ionic|west|rotor|66|pending
1470|gale|north|pump|28|shipped
1605|gale|west|cable|19|held
1571|juno|north|cable|68|held
2011|ionic|east|pump|45|held
1141|harbor|west|rotor|29|held
1590|harbor|west|valve|98|pending
1108|gale|west|panel|31|pending
1103|gale|east|frame|83|held
1491|ember|south|rotor|58|shipped
1557|ember|east|sensor|30|pending
1961|cobalt|south|gasket|25|held
1994|dorian|north|valve|93|shipped
1921|birch|north|rotor|37|shipped
1522|cobalt|west|panel|63|pending
1279|fulton|north|valve|54|pending
1745|gale|north|frame|33|held
1250|juno|east|cable|44|held
1373|cobalt|south|cable|26|pending
1334|gale|west|frame|37|paid
1641|ionic|south|rotor|42|paid
1110|gale|east|valve|59|paid
1339|harbor|east|frame|14|shipped
1810|ember|north|frame|36|pending
1634|dorian|east|sensor|52|paid
1763|ember|north|rotor|75|held
1439|dorian|south|frame|50|paid
1841|fulton|west|panel|35|pending
1611|gale|north|panel|49|held
1828|cobalt|west|frame|18|paid
1724|acme|north|cable|18|paid
1758|ember|east|gasket|48|held
1265|acme|south|sensor|47|shipped
1899|fulton|west|panel|51|pending
1453|dorian|north|panel|59|shipped
1732|dorian|east|gasket|50|pending
1471|dorian|west|pump|14|paid
1541|acme|south|cable|89|shipped
1621|dorian|west|valve|10|pending
1100|gale|west|rotor|63|pending
1201|dorian|west|sensor|74|paid
1421|harbor|east|cable|30|pending
1864|ionic|south|panel|66|pending
1699|harbor|south|panel|64|pending
1933|cobalt|south|sensor|22|shipped
1515|ember|north|pump|94|pending
2028|juno|west|valve|31|pending
1774|acme|west|rotor|75|pending
1769|acme|north|gasket|94|paid
2031|cobalt|north|valve|50|held
1851|birch|west|cable|66|pending
1505|acme|south|gasket|78|held
1660|ionic|north|rotor|89|pending
1106|gale|east|valve|62|pending
1426|birch|south|sensor|74|pending
1602|dorian|east|panel|70|paid
1529|ember|north|rotor|62|shipped
1172|birch|south|valve|85|held
1667|dorian|west|panel|21|held
1532|gale|south|panel|60|held
1517|ember|south|valve|42|pending
1966|acme|south|panel|86|held
1244|fulton|north|sensor|82|shipped
1956|birch|north|rotor|14|held
1072|gale|west|pump|61|pending
1969|birch|north|valve|52|shipped
1258|juno|west|cable|48|held
1947|fulton|east|sensor|75|held
1887|acme|south|gasket|79|pending
1797|juno|west|rotor|94|pending
1268|ember|south|frame|45|pending
1297|ember|west|valve|64|held
1284|acme|north|pump|78|pending
1409|juno|south|valve|37|paid
1577|birch|north|rotor|67|held
1551|ionic|west|pump|98|shipped
1632|dorian|south|rotor|38|shipped
1731|dorian|west|gasket|49|pending
1289|dorian|east|frame|40|paid
1984|ionic|north|sensor|66|paid
1879|acme|west|frame|85|paid
1498|gale|west|valve|53|pending
1092|gale|east|sensor|58|shipped
1245|birch|north|valve|69|pending
1846|juno|east|rotor|26|shipped
1788|gale|west|rotor|86|shipped
1179|ionic|east|sensor|89|held
1583|acme|east|sensor|36|shipped
1715|ember|west|rotor|78|paid
1388|ionic|west|sensor|51|held
1509|dorian|north|cable|75|paid
1782|cobalt|south|pump|82|paid
1563|cobalt|west|frame|11|held
1612|fulton|north|frame|84|paid
1487|ionic|south|rotor|87|pending
1977|gale|south|sensor|18|shipped
1389|birch|west|rotor|92|paid
1795|fulton|east|valve|25|shipped
1415|gale|north|cable|45|held
1224|ionic|north|panel|94|held
1096|gale|east|rotor|64|pending
1397|ionic|north|cable|10|shipped
1739|acme|north|rotor|71|shipped
1386|dorian|west|gasket|33|paid
1343|dorian|north|panel|74|shipped
1754|ember|south|sensor|56|pending
1704|birch|south|frame|88|held
1456|ember|north|cable|30|shipped
1648|juno|north|gasket|82|held
1361|cobalt|south|pump|12|pending
1166|gale|south|sensor|13|shipped
1545|dorian|south|cable|16|shipped
1465|ionic|west|panel|41|held
1118|gale|north|panel|70|pending
1903|ionic|north|cable|43|pending
1085|gale|south|gasket|14|pending
1720|harbor|north|sensor|25|held
1942|birch|east|rotor|91|pending
1188|gale|west|rotor|67|paid
1148|acme|south|frame|11|shipped
1987|birch|north|pump|68|pending
1234|cobalt|west|cable|67|held
1938|juno|north|pump|75|paid
1477|ionic|west|sensor|56|paid
1079|gale|east|gasket|67|pending
1275|ember|north|frame|64|held
1182|acme|east|pump|39|held
1885|cobalt|north|panel|64|held
1692|acme|west|pump|48|paid
1447|dorian|east|panel|38|paid
1162|fulton|east|sensor|11|paid
1075|gale|east|gasket|24|shipped
1295|ember|north|pump|13|paid
1513|harbor|north|frame|90|pending
1578|ember|south|sensor|23|held
1570|fulton|south|sensor|44|pending
1215|juno|north|panel|16|pending
1817|gale|south|pump|77|paid
1780|cobalt|south|panel|53|pending
2018|fulton|north|rotor|12|held
1218|dorian|west|frame|97|paid
1821|gale|north|pump|53|held
1357|fulton|north|cable|76|shipped
2019|acme|east|cable|17|shipped
1871|ionic|east|pump|29|shipped
1400|gale|south|panel|69|pending
1872|gale|north|pump|86|paid
1805|birch|east|gasket|24|held
1609|juno|north|valve|69|held
1350|acme|west|valve|46|paid
1427|ember|south|sensor|99|paid
1066|gale|east|frame|44|pending
1367|birch|north|rotor|33|paid
1892|dorian|east|valve|41|paid
1319|ember|south|sensor|87|paid
1910|ember|north|valve|20|paid
1804|harbor|south|cable|39|shipped
1654|harbor|east|rotor|10|held
1764|ionic|east|frame|39|pending
1686|dorian|south|rotor|29|held
1759|birch|east|sensor|42|paid
2003|dorian|south|pump|79|pending
1834|harbor|west|cable|26|held
1744|acme|east|pump|62|pending
1820|harbor|east|gasket|90|paid
1391|acme|west|valve|68|pending
1204|fulton|north|sensor|54|held
1519|ember|south|sensor|77|paid
1672|ember|west|frame|33|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 52, 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)correctagentic.tools.ledger-v1conf 100% · 254ms · $0.000 · 761 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: $255
- oscar: $128
- tango: $811
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $376 from "tango" to "alpha"
2. pay $182 from "alpha" to "tango"
3. pay $309 from "oscar" to "alpha"
4. pay $440 from "tango" to "oscar"
5. pay $110 from "oscar" 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":"tango","to":"alpha","amount":376}},
{"tool":"transfer","args":{"from":"alpha","to":"tango","amount":182}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":181}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":309}},
{"tool":"transfer","args":{"from":"tango","to":"oscar","amount":440}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":110}}
]correctagentic.tools.deploy-v1conf 100% · 1.1s · $0.000 · 563 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: billing, reports
- reports: (none)
- billing: reports
- notifier: 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":"reports"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"health_check","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"notifier"}}
]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 (244 records, format: id|customer|region|item|qty|status):
```
1509|ionic|east|gasket|12|shipped
1772|gale|west|pump|35|pending
2071|acme|north|panel|43|pending
2197|acme|west|frame|15|shipped
1287|ionic|west|pump|87|pending
2236|ember|west|panel|18|held
1665|fulton|south|panel|42|held
2107|dorian|south|valve|95|pending
2104|acme|west|gasket|96|shipped
2121|ember|west|cable|28|pending
1955|ember|south|panel|37|shipped
1996|ember|west|pump|49|held
1604|acme|east|pump|89|held
1879|cobalt|west|rotor|71|held
1988|harbor|north|pump|56|paid
1479|birch|south|panel|27|pending
1875|ember|south|valve|15|pending
2164|harbor|west|sensor|21|paid
1667|ember|south|sensor|49|held
1975|ionic|east|sensor|39|shipped
1881|ionic|south|rotor|18|pending
2257|harbor|west|sensor|88|paid
2188|birch|east|cable|28|shipped
2084|acme|south|rotor|63|shipped
1433|ember|west|panel|26|pending
1689|dorian|south|frame|85|paid
1298|ionic|west|cable|17|shipped
1554|dorian|north|panel|48|shipped
1803|cobalt|north|frame|97|shipped
1683|ember|east|frame|61|held
1789|harbor|east|sensor|80|paid
1452|acme|north|rotor|73|held
1595|cobalt|west|panel|40|shipped
1958|ionic|east|panel|90|paid
1655|dorian|north|rotor|47|pending
1855|cobalt|north|frame|68|shipped
1810|juno|west|sensor|49|shipped
1344|ionic|west|gasket|88|held
2201|acme|south|pump|57|shipped
2159|juno|west|valve|35|held
1445|dorian|north|rotor|79|paid
1734|acme|south|pump|31|paid
1966|fulton|north|rotor|42|paid
2220|gale|south|sensor|69|held
1851|juno|north|sensor|52|pending
1835|birch|west|valve|28|held
2207|cobalt|west|rotor|66|paid
1520|birch|south|valve|42|held
1725|ionic|north|cable|84|paid
1970|acme|west|pump|41|paid
2267|fulton|west|gasket|10|paid
1529|fulton|north|frame|97|pending
2031|fulton|east|gasket|58|held
1633|birch|south|frame|40|paid
1431|acme|north|sensor|83|paid
1420|fulton|north|sensor|65|held
1463|harbor|west|pump|54|held
1325|ionic|west|rotor|49|shipped
1856|harbor|north|pump|72|paid
1490|dorian|west|sensor|13|shipped
1440|fulton|south|pump|85|paid
1476|acme|south|cable|72|shipped
1331|ionic|west|valve|35|pending
1457|ember|north|sensor|82|paid
2045|juno|east|pump|97|pending
1942|dorian|east|gasket|29|pending
1758|fulton|north|panel|13|paid
1421|fulton|north|cable|18|shipped
2090|harbor|south|pump|18|shipped
1645|cobalt|east|panel|25|held
1668|ember|west|gasket|65|shipped
1407|birch|north|valve|84|paid
1346|ionic|south|gasket|79|pending
2138|ionic|west|sensor|39|pending
1884|cobalt|north|cable|68|paid
2008|cobalt|south|gasket|94|pending
1909|ember|west|valve|39|shipped
2041|dorian|west|valve|39|shipped
1999|harbor|north|pump|57|paid
1405|ionic|east|pump|45|shipped
2078|juno|east|frame|60|paid
1843|ember|east|valve|91|pending
1523|fulton|east|valve|18|held
1729|harbor|south|pump|28|pending
1411|harbor|north|pump|88|paid
1566|birch|east|sensor|22|pending
1742|gale|south|panel|42|held
2213|dorian|north|valve|16|held
1557|cobalt|east|cable|47|paid
1893|birch|south|valve|66|held
2114|harbor|east|cable|68|shipped
1741|cobalt|south|sensor|53|pending
2176|dorian|north|frame|82|held
1972|acme|south|frame|98|shipped
2260|fulton|south|cable|18|shipped
1699|juno|east|rotor|77|held
1591|cobalt|west|sensor|13|paid
1694|ionic|west|rotor|13|pending
1355|cobalt|west|cable|41|pending
1305|ionic|west|cable|53|pending
1470|ember|west|valve|68|held
2057|gale|west|pump|93|paid
2203|dorian|north|panel|44|shipped
2118|harbor|west|valve|33|shipped
1823|dorian|south|rotor|89|held
1705|juno|west|pump|75|shipped
1507|ember|east|cable|62|held
1551|juno|west|cable|25|pending
1321|ionic|north|pump|94|pending
1908|harbor|west|frame|80|shipped
2274|harbor|east|sensor|54|pending
2130|juno|east|rotor|16|shipped
1602|ionic|south|valve|72|paid
1765|ionic|south|pump|98|pending
1813|ionic|west|panel|37|held
1914|dorian|north|gasket|79|pending
2253|birch|north|cable|33|held
1935|acme|north|cable|44|shipped
1589|dorian|north|panel|53|shipped
1866|juno|east|panel|18|pending
1314|ionic|west|rotor|68|shipped
1773|ionic|south|cable|96|pending
1292|ionic|north|pump|23|pending
1658|gale|south|cable|11|pending
1783|harbor|east|valve|55|held
1376|acme|east|gasket|28|held
1311|ionic|east|sensor|62|pending
2009|ionic|west|rotor|18|pending
1872|cobalt|north|pump|65|held
1623|cobalt|east|cable|12|pending
2167|acme|west|panel|59|held
1393|cobalt|east|cable|98|pending
1559|fulton|west|frame|66|shipped
2064|ember|south|cable|59|pending
2052|ionic|east|frame|74|shipped
1799|ember|east|rotor|90|held
1839|ionic|west|frame|51|pending
1480|acme|east|rotor|19|shipped
1514|ember|south|gasket|60|pending
1811|ember|east|frame|83|paid
1918|dorian|south|pump|36|held
2198|cobalt|east|rotor|61|shipped
1712|fulton|west|panel|95|pending
2145|dorian|west|pump|31|pending
1745|dorian|east|gasket|51|held
1995|ember|south|rotor|26|pending
1484|gale|west|valve|48|paid
1756|ember|south|frame|91|paid
1638|ember|west|frame|86|shipped
1403|gale|north|valve|10|paid
1617|dorian|west|gasket|66|held
2194|acme|south|sensor|49|shipped
1656|harbor|east|gasket|58|shipped
1749|ionic|east|sensor|47|paid
2037|dorian|north|pump|45|held
1818|acme|east|sensor|96|paid
1579|dorian|south|sensor|73|paid
1544|cobalt|west|gasket|45|pending
2248|ember|north|cable|69|paid
1532|acme|north|gasket|31|shipped
1400|harbor|north|gasket|69|paid
2120|gale|north|valve|26|paid
1518|birch|south|valve|29|paid
1984|ionic|west|cable|74|shipped
1369|ember|east|panel|94|held
1784|fulton|west|pump|41|pending
1820|juno|south|cable|67|shipped
1949|ionic|east|sensor|47|pending
1414|juno|south|cable|10|pending
2102|acme|east|pump|72|paid
1924|gale|north|gasket|54|pending
1408|ember|west|panel|25|paid
1826|juno|west|gasket|91|held
1859|harbor|west|frame|66|held
1380|dorian|south|panel|62|pending
2232|birch|south|pump|35|held
1832|acme|south|sensor|30|held
1586|juno|east|valve|79|pending
2049|dorian|north|panel|11|shipped
2251|ionic|east|valve|53|pending
1888|cobalt|west|valve|38|shipped
2169|cobalt|east|sensor|55|shipped
1426|cobalt|west|panel|84|paid
1675|birch|north|pump|35|held
1610|acme|north|gasket|16|pending
1539|gale|south|gasket|99|paid
1641|dorian|east|panel|88|shipped
1718|birch|south|pump|93|paid
1670|cobalt|north|sensor|10|held
1504|acme|north|valve|43|paid
1597|ionic|south|frame|12|paid
1929|acme|north|gasket|57|shipped
2089|harbor|east|valve|37|shipped
1387|ionic|south|valve|28|held
1877|acme|east|sensor|15|held
1911|ember|east|sensor|10|held
1572|dorian|south|cable|13|pending
1580|harbor|east|valve|41|pending
1981|ember|north|gasket|62|paid
1848|fulton|west|cable|29|paid
2018|acme|east|frame|41|paid
1402|cobalt|west|rotor|84|pending
1902|harbor|south|gasket|22|shipped
1434|fulton|east|rotor|28|pending
2124|juno|west|frame|58|shipped
2221|acme|north|frame|49|held
1541|juno|south|rotor|83|pending
1796|harbor|south|panel|68|pending
1391|gale|west|cable|14|paid
2152|birch|south|pump|82|pending
1898|birch|west|pump|53|pending
2195|harbor|south|panel|43|pending
1681|dorian|north|pump|44|pending
2014|gale|south|sensor|72|held
2129|ember|west|valve|47|paid
1338|ionic|north|cable|94|pending
1517|ionic|west|panel|34|shipped
2241|fulton|east|valve|51|held
1787|fulton|east|cable|77|shipped
1651|juno|east|cable|43|held
1806|birch|north|valve|19|paid
1967|harbor|west|panel|28|shipped
2182|ionic|north|panel|17|paid
1869|juno|east|panel|43|held
1952|harbor|north|frame|49|paid
1912|acme|west|sensor|41|pending
1352|gale|south|sensor|37|pending
1315|ionic|west|valve|48|pending
1535|gale|north|frame|26|held
1499|gale|west|frame|62|shipped
2048|gale|west|frame|39|shipped
2240|ionic|south|frame|67|pending
1960|ember|south|pump|71|held
1989|juno|south|panel|38|paid
1968|birch|north|cable|21|paid
1627|fulton|west|frame|50|pending
1362|gale|south|valve|92|paid
2095|dorian|north|gasket|58|shipped
1495|acme|south|gasket|19|shipped
2226|birch|east|cable|71|shipped
1779|acme|south|cable|89|shipped
2137|birch|south|frame|21|paid
2001|dorian|north|rotor|79|shipped
2024|cobalt|east|rotor|81|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, 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)correctagentic.tools.triage-v1conf 100% · 594ms · $0.000 · 943 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 → chen
- payments → okafor
- auth → haddad
INCIDENTS:
1. "API latency spikes" (category: infra, priority 2)
2. "API latency spikes" (category: infra, priority 2)
3. "locked out after 2FA change" (category: auth, priority 5)
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":"API latency spikes","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"chen"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":2}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"locked out after 2FA change","priority":5}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"haddad"}}
]wrongagentic.tools.context-load-v1conf 100% · 263ms · $0.000 · 2390 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 (120 records, format: id|customer|region|item|qty|status):
```
1629|cobalt|south|valve|99|paid
1759|fulton|east|sensor|38|paid
1852|harbor|south|valve|98|pending
1863|dorian|north|sensor|75|paid
1691|juno|west|frame|58|paid
1796|cobalt|south|panel|83|paid
1521|cobalt|east|frame|10|held
1800|ionic|west|gasket|71|paid
1505|ember|east|frame|61|paid
1459|juno|west|rotor|34|pending
1488|ionic|east|sensor|49|held
1890|ionic|west|valve|57|shipped
1536|dorian|north|sensor|16|pending
1706|ember|north|panel|69|shipped
1742|juno|west|sensor|32|pending
1642|gale|south|rotor|45|pending
1784|dorian|west|pump|85|held
1803|fulton|south|rotor|95|paid
1836|juno|west|frame|89|shipped
1441|juno|west|pump|93|shipped
1486|cobalt|east|pump|78|held
1547|fulton|south|cable|96|paid
1826|juno|west|frame|92|held
1634|ionic|west|cable|86|pending
1562|ember|south|gasket|74|held
1501|ember|north|valve|37|held
1818|birch|north|valve|27|paid
1731|dorian|west|pump|69|pending
1843|fulton|north|sensor|43|held
1822|gale|west|gasket|29|paid
1592|ionic|north|valve|20|held
1526|harbor|south|pump|79|shipped
1834|gale|east|cable|81|paid
1760|ionic|east|valve|31|paid
1520|cobalt|south|sensor|62|shipped
1708|harbor|east|gasket|58|paid
1693|juno|east|pump|25|pending
1859|birch|east|sensor|36|held
1766|dorian|north|cable|19|paid
1507|gale|west|panel|22|paid
1867|ionic|south|rotor|67|shipped
1830|dorian|north|pump|85|pending
1815|juno|south|valve|38|shipped
1685|ember|east|frame|75|held
1448|juno|west|panel|51|pending
1847|dorian|south|cable|63|shipped
1659|dorian|south|rotor|35|paid
1886|ionic|west|valve|99|shipped
1627|cobalt|south|pump|56|held
1479|birch|east|panel|28|pending
1465|juno|west|gasket|43|paid
1472|gale|east|panel|57|shipped
1614|acme|east|panel|32|shipped
1670|cobalt|south|rotor|93|held
1617|ionic|south|cable|73|pending
1655|dorian|east|sensor|73|paid
1908|harbor|south|frame|20|paid
1876|ember|south|frame|48|shipped
1581|cobalt|north|frame|13|paid
1807|harbor|south|pump|98|held
1557|dorian|east|cable|81|pending
1455|juno|west|valve|79|paid
1915|ionic|west|panel|72|paid
1746|harbor|north|gasket|83|paid
1713|ionic|east|sensor|91|paid
1515|dorian|south|rotor|73|pending
1575|cobalt|east|frame|51|shipped
1773|harbor|west|rotor|78|pending
1846|ionic|east|valve|25|paid
1510|cobalt|east|cable|65|pending
1894|fulton|south|sensor|27|shipped
1625|gale|north|sensor|68|paid
1601|juno|north|rotor|78|held
1712|acme|south|frame|62|paid
1454|juno|east|valve|13|pending
1648|harbor|north|sensor|51|pending
1677|juno|east|sensor|19|paid
1633|birch|west|pump|51|paid
1576|birch|east|gasket|77|held
1737|cobalt|south|pump|40|shipped
1566|acme|east|cable|54|paid
1463|juno|south|gasket|23|pending
1641|ember|west|sensor|33|paid
1681|dorian|north|sensor|45|paid
1564|cobalt|north|rotor|89|shipped
1717|ember|south|sensor|62|shipped
1722|dorian|north|panel|60|paid
1433|juno|west|rotor|39|pending
1502|harbor|north|cable|35|shipped
1608|birch|north|frame|86|paid
1598|cobalt|south|panel|82|held
1569|birch|south|valve|35|paid
1873|fulton|north|rotor|41|paid
1752|acme|south|rotor|55|held
1718|birch|east|valve|29|held
1841|birch|south|pump|70|pending
1652|acme|west|cable|81|shipped
1438|juno|north|sensor|45|pending
1586|fulton|west|sensor|48|pending
1780|ember|west|sensor|20|pending
1700|gale|west|frame|21|paid
1588|ionic|south|frame|41|paid
1665|dorian|east|panel|67|held
1855|acme|north|pump|94|pending
1734|dorian|west|panel|38|held
1791|juno|east|gasket|76|held
1529|dorian|west|cable|43|held
1584|harbor|east|valve|34|pending
1600|fulton|north|gasket|53|pending
1675|fulton|south|sensor|68|held
1530|ember|north|cable|21|paid
1540|birch|north|rotor|29|shipped
1494|harbor|south|panel|13|held
1901|juno|west|panel|21|shipped
1621|ionic|east|frame|86|shipped
1724|gale|west|frame|14|pending
1650|harbor|west|valve|31|pending
1882|dorian|west|sensor|90|held
1552|gale|north|frame|66|pending
1809|fulton|west|rotor|54|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, 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":1433}},
{"tool":"cancel_order","args":{"order_id":1459}},
{"tool":"cancel_order","args":{"order_id":1742}}
]correctagentic.tools.deploy-v1conf 100% · 191ms · $0.000 · 276 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- gateway: reports
- auth-svc: billing, reports
- billing: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"health_check","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"auth-svc"}}
]correctagentic.tools.ledger-v1conf 100% · 251ms · $0.000 · 828 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: $877
- delta: $773
- alpha: $481
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $583 from "oscar" to "alpha"
2. pay $381 from "oscar" to "alpha"
3. pay $335 from "oscar" to "alpha"
4. pay $407 from "oscar" to "delta"
5. pay $566 from "alpha" 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":"oscar","to":"alpha","amount":583}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":87}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":381}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":335}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":335}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":407}},
{"tool":"transfer","args":{"from":"oscar","to":"delta","amount":407}},
{"tool":"transfer","args":{"from":"alpha","to":"delta","amount":566}}
]correctagentic.tools.triage-v1conf 100% · 375ms · $0.000 · 805 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:
- infra → silva
- payments → okafor
- auth → novak
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 9)
2. "uploads failing intermittently" (category: infra, priority 9)
3. "locked out after 2FA change" (category: auth, priority 2)
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":"escalate","args":{"ticket_id":"TCK-1"}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"uploads failing intermittently","priority":9}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"locked out after 2FA change","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"novak"}}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1anchorconf — · — · — · — tok
model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 136ms · $0.000 · 562 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: auth-svc, billing
- notifier: auth-svc
- auth-svc: (none)
- billing: 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 "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":"auth-svc"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"health_check","args":{"service":"reports"}}
]correctagentic.tools.ledger-v1conf 100% · 336ms · $0.000 · 932 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $606
- delta: $635
- alpha: $394
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $540 from "kilo" to "delta"
2. pay $371 from "kilo" to "alpha"
3. pay $424 from "delta" to "alpha"
4. pay $514 from "kilo" to "alpha"
5. pay $115 from "delta" 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":"kilo","to":"delta","amount":540}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":305}},
{"tool":"transfer","args":{"from":"kilo","to":"alpha","amount":371}},
{"tool":"transfer","args":{"from":"delta","to":"alpha","amount":424}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":514}},
{"tool":"transfer","args":{"from":"kilo","to":"alpha","amount":514}},
{"tool":"transfer","args":{"from":"delta","to":"alpha","amount":115}}
]wrongagentic.tools.triage-v1conf 100% · 188ms · $0.000 · 1187 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 → haddad
- infra → dubois
- data → okafor
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 9)
2. "card declined at checkout" (category: payments, priority 9)
3. "export file corrupted" (category: data, priority 3)
4. "card declined at checkout" (category: payments, 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":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-1"}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"haddad"}},
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":9}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"export file corrupted","priority":3}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":8}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]correctagentic.tools.context-load-v1conf 100% · 349ms · $0.001 · 4874 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 (190 records, format: id|customer|region|item|qty|status):
```
1715|ionic|south|cable|96|pending
1795|acme|south|pump|75|paid
2151|ember|south|valve|58|shipped
1783|harbor|south|valve|94|shipped
1467|acme|west|panel|16|pending
1533|harbor|east|gasket|29|paid
1973|juno|south|pump|18|shipped
1478|fulton|south|valve|80|shipped
1877|cobalt|south|frame|53|pending
1786|acme|south|cable|32|shipped
1624|fulton|east|valve|69|paid
1735|dorian|east|panel|60|shipped
2094|dorian|north|valve|94|held
1983|ionic|east|cable|76|paid
1814|cobalt|south|frame|24|shipped
2001|fulton|north|pump|48|shipped
2182|birch|west|rotor|70|paid
1540|juno|north|cable|14|held
1460|acme|east|cable|70|paid
1722|acme|east|pump|34|pending
1626|ember|east|pump|38|pending
2119|harbor|north|frame|58|paid
1960|cobalt|north|rotor|86|pending
1616|gale|south|gasket|54|held
1513|acme|north|gasket|59|held
1673|ionic|west|panel|34|shipped
1645|dorian|east|sensor|63|pending
1571|birch|north|gasket|48|paid
1703|harbor|west|pump|59|paid
1601|dorian|west|valve|92|paid
2095|ionic|east|gasket|22|pending
1680|gale|east|gasket|36|paid
1435|acme|south|sensor|91|pending
1575|birch|west|rotor|94|pending
2172|birch|south|cable|95|paid
1685|ember|west|gasket|45|pending
1589|birch|south|pump|71|pending
2012|gale|north|frame|24|paid
1633|cobalt|south|pump|15|paid
1840|birch|east|gasket|20|held
1425|acme|south|panel|69|pending
1807|juno|south|rotor|60|pending
2108|fulton|west|valve|64|pending
1655|fulton|west|valve|79|shipped
1733|juno|north|cable|15|shipped
1716|cobalt|west|rotor|94|shipped
1440|acme|east|frame|52|pending
1874|harbor|west|cable|23|pending
2099|ember|east|valve|81|held
1488|acme|south|cable|72|paid
1555|cobalt|west|sensor|59|shipped
1476|ember|south|rotor|19|pending
2014|fulton|east|frame|18|shipped
1869|juno|west|valve|37|held
1897|gale|north|pump|51|held
1500|birch|south|gasket|17|paid
1582|ember|west|cable|77|shipped
1661|birch|east|frame|93|held
2052|birch|east|gasket|16|held
1928|juno|south|gasket|48|held
1803|harbor|north|gasket|85|paid
1777|juno|west|rotor|70|shipped
1991|ionic|north|frame|53|paid
2153|gale|south|panel|64|shipped
1495|harbor|south|frame|32|paid
1819|dorian|south|panel|20|paid
1729|ionic|west|frame|82|paid
1471|acme|east|frame|60|shipped
1542|ember|south|gasket|40|shipped
1650|gale|east|gasket|23|shipped
2042|ember|west|panel|46|shipped
1977|cobalt|south|valve|56|shipped
1484|acme|north|sensor|99|pending
1764|fulton|east|valve|25|paid
2107|cobalt|west|pump|83|shipped
1640|acme|south|sensor|30|shipped
1711|cobalt|west|frame|84|paid
1431|acme|east|gasket|42|held
1900|birch|north|pump|75|held
1806|cobalt|north|valve|94|shipped
2036|ionic|east|cable|92|shipped
2161|gale|south|valve|15|pending
2025|gale|north|valve|49|held
1906|ionic|south|valve|34|pending
2120|ionic|west|sensor|63|shipped
2048|ionic|north|cable|80|shipped
1443|acme|south|frame|92|pending
1860|acme|south|valve|94|held
1847|fulton|west|frame|59|paid
1646|ionic|east|panel|67|pending
1562|ionic|west|valve|74|paid
2176|birch|west|panel|17|paid
1758|juno|north|panel|98|held
2058|ember|north|rotor|92|paid
1954|ionic|west|rotor|83|paid
1867|dorian|north|panel|76|shipped
1424|acme|east|gasket|53|pending
1511|juno|west|gasket|40|shipped
1926|cobalt|east|cable|85|held
1762|ionic|east|sensor|35|held
1884|juno|east|sensor|21|shipped
1939|acme|west|valve|75|held
1834|acme|west|cable|91|pending
1434|acme|east|frame|85|pending
2088|gale|south|sensor|90|paid
2134|fulton|south|gasket|93|paid
2034|ionic|east|rotor|49|pending
1958|acme|north|panel|40|shipped
1951|ionic|west|sensor|86|pending
1506|acme|west|valve|96|paid
1568|dorian|west|panel|83|pending
1767|harbor|north|gasket|27|shipped
1550|ember|south|sensor|95|held
1996|fulton|south|pump|75|held
1989|ionic|west|gasket|90|held
1753|birch|east|sensor|56|paid
1746|acme|west|sensor|59|held
1521|juno|east|cable|63|pending
1619|ember|south|rotor|49|held
1791|gale|west|pump|28|paid
1915|harbor|west|gasket|49|shipped
1865|ember|north|frame|55|held
1610|cobalt|west|rotor|66|pending
1596|dorian|north|valve|36|pending
1831|acme|east|valve|30|paid
2063|ember|east|frame|41|shipped
1578|harbor|north|rotor|75|pending
1517|fulton|east|rotor|99|shipped
1698|fulton|south|cable|19|shipped
2160|gale|north|sensor|91|pending
1447|acme|east|gasket|27|paid
1826|cobalt|east|gasket|51|held
1792|birch|east|cable|71|pending
1945|harbor|west|valve|58|paid
1944|birch|north|panel|18|held
2008|gale|east|frame|82|held
1920|birch|south|panel|97|paid
1647|fulton|north|valve|41|held
2027|ember|east|valve|60|paid
1974|ionic|north|rotor|99|shipped
2089|birch|north|rotor|78|held
1825|ember|south|panel|53|pending
1666|dorian|north|sensor|44|paid
1452|acme|east|rotor|95|pending
1692|dorian|south|panel|64|held
1858|fulton|west|sensor|45|held
1739|fulton|west|valve|64|pending
2076|harbor|east|pump|72|shipped
2097|ionic|east|pump|12|held
1829|acme|north|valve|15|paid
2114|dorian|west|valve|83|held
2082|ionic|east|valve|66|shipped
1454|acme|west|frame|77|pending
1437|acme|east|cable|93|paid
2141|gale|west|pump|75|shipped
1705|acme|north|pump|21|shipped
1466|acme|east|rotor|87|pending
2019|ionic|north|panel|26|shipped
1785|ionic|west|rotor|68|paid
1886|gale|east|panel|55|held
1853|ember|east|sensor|72|held
1492|ionic|west|panel|37|paid
1968|ionic|south|gasket|95|paid
1993|fulton|north|rotor|42|shipped
2127|harbor|south|rotor|43|pending
1526|birch|south|rotor|28|shipped
1801|cobalt|north|sensor|33|held
1910|cobalt|north|gasket|11|shipped
2031|birch|east|pump|51|pending
2103|harbor|west|gasket|51|shipped
1911|juno|south|frame|11|shipped
1642|cobalt|east|pump|80|shipped
1505|juno|north|sensor|40|held
1962|harbor|east|valve|76|shipped
1890|ionic|east|pump|60|shipped
1839|cobalt|west|sensor|80|pending
2167|cobalt|east|frame|37|pending
1935|harbor|north|rotor|16|shipped
1741|acme|east|rotor|84|held
2158|acme|east|cable|55|pending
2043|cobalt|north|rotor|22|held
1931|ionic|south|valve|73|pending
1543|cobalt|south|panel|48|held
2071|juno|west|gasket|89|held
1808|gale|east|pump|82|shipped
2067|fulton|north|sensor|88|shipped
1773|fulton|west|rotor|40|paid
1607|ionic|north|valve|59|held
2147|dorian|north|cable|21|pending
2051|cobalt|south|valve|83|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 47, 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":"gasket","qty":53}},
{"tool":"restock","args":{"item":"frame","qty":85}},
{"tool":"restock","args":{"item":"frame","qty":52}},
{"tool":"restock","args":{"item":"rotor","qty":95}},
{"tool":"restock","args":{"item":"rotor","qty":87}},
{"tool":"cancel_order","args":{"order_id":1722}},
{"tool":"restock","args":{"item":"cable","qty":55}}
]correctagentic.tools.deploy-v1conf 100% · 164ms · $0.000 · 853 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: auth-svc, notifier
- auth-svc: notifier
- gateway: auth-svc, notifier
- notifier: (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 "auth-svc" 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":"health_check","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"search"}}
]correctagentic.tools.ledger-v1conf 100% · 302ms · $0.000 · 663 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $749
- oscar: $632
- echo: $169
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $600 from "echo" to "lima"
2. pay $571 from "oscar" to "lima"
3. pay $372 from "echo" to "lima"
4. pay $240 from "lima" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":431}},
{"tool":"transfer","args":{"from":"echo","to":"lima","amount":600}},
{"tool":"transfer","args":{"from":"oscar","to":"lima","amount":571}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":372}},
{"tool":"transfer","args":{"from":"echo","to":"lima","amount":372}},
{"tool":"transfer","args":{"from":"lima","to":"echo","amount":240}}
]correctagentic.tools.triage-v1conf 100% · 153ms · $0.000 · 1004 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
- data → chen
- auth → silva
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 4)
2. "invoice total wrong" (category: payments, priority 4)
3. "cannot reset password" (category: auth, priority 9)
4. "refund double-charged" (category: payments, 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":"invoice total wrong","priority":4}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"tanaka"}},
{"tool":"create_ticket","args":{"title":"invoice total wrong","priority":4}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-3"}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":7}},
{"tool":"escalate","args":{"ticket_id":"TCK-4"}},
{"tool":"assign","args":{"ticket_id":"TCK-4","agent":"tanaka"}}
]correctagentic.tools.deploy-v1conf 100% · 130ms · $0.000 · 612 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: (none)
- auth-svc: reports
- gateway: reports, search
- reports: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"search"}},
{"tool":"health_check","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 239ms · $0.000 · 675 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $159
- echo: $177
- alpha: $787
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $600 from "lima" to "echo"
2. pay $443 from "lima" to "echo"
3. pay $498 from "lima" to "alpha"
4. pay $404 from "lima" 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":"top_up_from_reserve","args":{"account":"lima","amount":441}},
{"tool":"transfer","args":{"from":"lima","to":"echo","amount":600}},
{"tool":"top_up_from_reserve","args":{"account":"lima","amount":443}},
{"tool":"transfer","args":{"from":"lima","to":"echo","amount":443}},
{"tool":"top_up_from_reserve","args":{"account":"lima","amount":498}},
{"tool":"transfer","args":{"from":"lima","to":"alpha","amount":498}},
{"tool":"top_up_from_reserve","args":{"account":"lima","amount":404}},
{"tool":"transfer","args":{"from":"lima","to":"alpha","amount":404}}
]wrongagentic.tools.triage-v1conf 100% · 347ms · $0.000 · 1078 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 → novak
- infra → rivera
- payments → silva
INCIDENTS:
1. "cannot reset password" (category: auth, priority 3)
2. "webhooks not delivered" (category: infra, priority 3)
3. "cannot reset password" (category: auth, priority 3)
4. "cannot reset password" (category: auth, priority 2)
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":"assign","args":{"ticket_id":"TCK-1","agent":"novak"}},
{"tool":"create_ticket","args":{"title":"webhooks not delivered","priority":3}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"rivera"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":3}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":2}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]correctagentic.tools.deploy-v1anchorconf 100% · 311ms · $0.000 · 480 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"}}
]correctagentic.tools.triage-v1anchorconf 100% · 137ms · $0.000 · 1073 tok
model answer:
[
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-1"}},
{"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":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]correctagentic.tools.ledger-v1anchorconf 100% · 624ms · $0.000 · 894 tok
model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":134}},
{"tool":"transfer","args":{"from":"delta","to":"bravo","amount":451}},
{"tool":"transfer","args":{"from":"bravo","to":"delta","amount":292}},
{"tool":"transfer","args":{"from":"delta","to":"tango","amount":97}},
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":345}},
{"tool":"transfer","args":{"from":"delta","to":"bravo","amount":540}},
{"tool":"transfer","args":{"from":"tango","to":"bravo","amount":125}}
]code 30/30 correct
correctcode.trace.nested-v1conf 100% · 347ms · $0.000 · 1748 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 4 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:
316correctcode.trace.nested-v1conf 100% · 246ms · $0.001 · 4008 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
159correctcode.trace.js-v1conf 100% · 322ms · $0.000 · 164 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 5) .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:
270correctcode.trace.python-v1conf 100% · 183ms · $0.000 · 369 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 5
while total + v <= 50:
if v % 3 != 0:
total += v
v += 5
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:
35correctcode.trace.js-v1conf 100% · 198ms · $0.000 · 243 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; const out = arr .map(n => n * 4) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
648correctcode.trace.nested-v1conf 100% · 121ms · $0.000 · 1167 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, 7):
if j == 4 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:
175correctcode.trace.python-v1conf 100% · 585ms · $0.000 · 534 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 92:
if v % 4 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
79correctcode.trace.nested-v1conf 100% · 289ms · $0.000 · 1882 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
351correctcode.trace.js-v1conf 100% · 325ms · $0.000 · 192 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 7) .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:
140correctcode.trace.python-v1conf 100% · 177ms · $0.000 · 487 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 13
while total + v <= 117:
if v % 5 != 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:
98correctcode.trace.js-v1conf 100% · 490ms · $0.000 · 1680 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11]; 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:
224correctcode.trace.js-v1conf 100% · 443ms · $0.000 · 301 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 7) .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:
84correctcode.trace.python-v1conf 100% · 260ms · $0.000 · 409 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 60:
if v % 4 != 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:
55correctcode.trace.nested-v1conf 100% · 250ms · $0.000 · 1351 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, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
104correctcode.trace.nested-v1conf 100% · 1.6s · $0.000 · 1092 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, 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:
84correctcode.trace.python-v1conf 100% · 246ms · $0.000 · 284 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 38:
if v % 3 != 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:
31correctcode.trace.js-v1conf 100% · 295ms · $0.000 · 147 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
280correctcode.trace.nested-v1conf 100% · 347ms · $0.000 · 1310 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
211correctcode.trace.python-v1conf 100% · 148ms · $0.000 · 613 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 1
while total + v <= 79:
if v % 5 != 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:
60correctcode.trace.js-v1conf 100% · 186ms · $0.000 · 212 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 5) .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:
140correctcode.trace.nested-v1conf 100% · 200ms · $0.000 · 2046 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
185correctcode.trace.python-v1conf 100% · 143ms · $0.000 · 511 tok
question
What does this Python program print?
```python
total = 0
v = 10
while total + v <= 67:
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:
50correctcode.trace.js-v1conf 100% · 270ms · $0.000 · 165 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 7) .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:
35correctcode.trace.python-v1conf 100% · 370ms · $0.000 · 559 tok
question
What does this Python program print?
```python
total = 0
v = 10
while total + v <= 87:
if v % 4 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
64correctcode.trace.nested-v1conf 100% · 258ms · $0.000 · 1189 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, 7):
if j == 5 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:
152correctcode.trace.js-v1conf 100% · 1.3s · $0.000 · 242 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 * 5) .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:
180correctcode.trace.python-v1anchorconf 100% · 1.1s · $0.000 · 423 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 127ms · $0.000 · 1569 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 285ms · $0.000 · 197 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 1.7s · $0.000 · 515 tok
model answer:
40instruction following 25/30 correct
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "orbit" and the last word must be "ember". 3. Use the word "lumen" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.constraints.stack-v1conf 100% · 283ms · $0.000 · 1050 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "falcon" and the last word must be "delta". 3. Use the word "nova" 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:
falcon roamed horizons, chasing distant stars, feeling wind's whisper, discovering hidden valleys, sharing stories, dreaming of bright nova, awaiting another nova, reaching deltacorrectif.constraints.stack-v1conf 100% · 3.9s · $0.000 · 1583 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "flint" and the last word must be "prism". 3. Use the word "zephyr" 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 sparks, zephyr dances softly across rusted gears, zephyr guiding forgotten dreams toward ancient prismwrongif.format.acronym-v1conf 100% · 293ms · $0.000 · 94 tok
question
Take the second letter of each of these words, in order: quartz, tundra, comet, basalt, prism. 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:
UUAORcorrectif.format.repeat-v1conf 100% · 232ms · $0.000 · 139 tok
question
Write the word "lumen" in lowercase 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:
lumen/lumen/lumenwrongif.constraints.stack-v1conf 100% · 406ms · $0.000 · 738 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "nova" and the last word must be "ember". 3. Use the word "orbit" 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:
nova frost settles over quiet hills, as dawn's light glints on snow, orbit thoughts drift, orbit hope, whispering winter's promise embercorrectif.format.acronym-v1conf 100% · 236ms · $0.000 · 82 tok
question
Take the first letter of each of these words, in order: basalt, quartz, zephyr, 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:
BQZNcorrectif.format.repeat-v1conf 100% · 4.2s · $0.000 · 204 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-quartzcorrectif.constraints.stack-v1conf 100% · 309ms · $0.000 · 862 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 "prism" and the last word must be "delta". 3. Use the word "basalt" 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:
prism neon lights flicker over basalt rooftops, echoing basalt whispers, while shadows dance softly, deltacorrectif.format.acronym-v1conf 100% · 288ms · $0.000 · 80 tok
question
Take the first letter of each of these words, in order: prism, comet, nova, orbit, quartz. 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:
PCNOQcorrectif.format.repeat-v1conf 100% · 210ms · $0.000 · 183 tok
question
Write the word "quartz" in uppercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QUARTZ_QUARTZ_QUARTZ_QUARTZ_QUARTZcorrectif.format.acronym-v1conf 100% · 722ms · $0.000 · 94 tok
question
Take the second letter of each of these words, in order: zephyr, falcon, echo, 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:
EACRwrongif.constraints.stack-v1conf 100% · 123ms · $0.000 · 520 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "lumen" and the last word must be "delta". 3. Use the word "comet" 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:
lumen glows over silent streets, a comet streaks, another comet glides, frost kisses windows, morning breath, quiet hush, soft sunrise deltacorrectif.format.repeat-v1conf 100% · 271ms · $0.000 · 208 tok
question
Write the word "nova" in uppercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NOVA-NOVA-NOVA-NOVA-NOVAcorrectif.format.acronym-v1conf 100% · 208ms · $0.000 · 90 tok
question
Take the second letter of each of these words, in order: ember, falcon, quartz, basalt, 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:
MAUAEcorrectif.format.repeat-v1conf 100% · 205ms · $0.000 · 182 tok
question
Write the word "nova" in uppercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NOVA/NOVA/NOVAcorrectif.constraints.stack-v1conf 100% · 110ms · $0.000 · 803 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "basalt" and the last word must be "orbit". 3. Use the word "zephyr" 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:
basalt city lights flicker like stars in basalt streets where zephyr whispers through neon alleys and zephyr carries midnight dreams toward orbitcorrectif.format.acronym-v1conf 100% · 314ms · $0.000 · 82 tok
question
Take the first letter of each of these words, in order: comet, cedar, drift, basalt, quartz. 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:
CCDBQcorrectif.format.repeat-v1conf 100% · 123ms · $0.000 · 181 tok
question
Write the word "orbit" in uppercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ORBIT/ORBIT/ORBIT/ORBIT/ORBITcorrectif.format.acronym-v1conf 100% · 285ms · $0.000 · 184 tok
question
Take the third letter of each of these words, in order: nova, orbit, ember, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VBBScorrectif.format.repeat-v1conf 100% · 342ms · $0.000 · 243 tok
question
Write the word "cedar" 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:
cedar-cedar-cedar-cedar-cedar-cedarcorrectif.constraints.stack-v1conf 100% · 608ms · $0.000 · 591 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "nova" and the last word must be "tundra". 3. Use the word "ember" 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:
nova waves whisper across the restless sea, ember glow reflecting, ember light guiding sailors toward distant horizons, tundracorrectif.constraints.stack-v1conf 100% · 314ms · $0.000 · 984 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "flint" and the last word must be "tundra". 3. Use the word "delta" 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 frost blankets still streets, delta winds whisper, delta snowflakes drift, morning light glows over silent, gentle, bright, soft tundrawrongif.format.acronym-v1conf 100% · 232ms · $0.000 · 110 tok
question
Take the third letter of each of these words, in order: flint, echo, zephyr, prism. 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:
ICPIcorrectif.format.repeat-v1anchorconf 100% · 4.5s · $0.000 · 217 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.repeat-v1conf 100% · 354ms · $0.000 · 257 tok
question
Write the word "zephyr" in capitalized 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:
ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYR_ZEPHYRcorrectif.format.acronym-v1conf 100% · 308ms · $0.000 · 84 tok
question
Take the first letter of each of these words, in order: prism, ember, quartz, 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:
PEQCcorrectif.format.repeat-v1anchorconf 100% · 283ms · $0.000 · 300 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.constraints.stack-v1anchorconf 100% · 182ms · $0.000 · 637 tok
model answer:
drift through streets, where shadows flicker, a saxophone sighs, city lights pulse, each lumen echoing, another lumen guiding, final lumen soft fading into orbitcorrectif.format.acronym-v1anchorconf 100% · 236ms · $0.000 · 78 tok
model answer:
ZDFQknowledge 29/30 correct
correctknowledge.fr.factbank-v2conf 100% · 106ms · $0.000 · 66 tok
question
Identify 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:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 284ms · $0.000 · 146 tok
question
What is the chemical element with symbol K? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 289ms · $0.000 · 63 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:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 133ms · $0.000 · 111 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 184ms · $0.000 · 60 tok
question
Name 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:
Tincorrectknowledge.fr.factbank-v2conf 100% · 212ms · $0.000 · 170 tok
question
Identify the Burmese capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 187ms · $0.000 · 76 tok
question
Name the writer of the novel "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 Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 470ms · $0.000 · 122 tok
question
Name the Canadian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 208ms · $0.000 · 135 tok
question
Name the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 376ms · $0.000 · 112 tok
question
Name the author of "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 521ms · $0.000 · 244 tok
question
Name the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 230ms · $0.000 · 63 tok
question
What is the element whose symbol is Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 3.8s · $0.000 · 62 tok
question
Identify the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 353ms · $0.000 · 158 tok
question
Identify the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 116ms · $0.000 · 365 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:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 148ms · $0.000 · 67 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:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 524ms · $0.000 · 93 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 213ms · $0.000 · 130 tok
question
Name the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 192ms · $0.000 · 66 tok
question
What is the element whose symbol is Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 352ms · $0.000 · 137 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:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 217ms · $0.000 · 139 tok
question
Identify the author of "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 Márquezcorrectknowledge.fr.factbank-v2conf 100% · 649ms · $0.000 · 123 tok
question
Name 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 Márquezcorrectknowledge.fr.factbank-v2conf 100% · 151ms · $0.000 · 151 tok
question
Identify the author of "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 Márquezcorrectknowledge.fr.factbank-v2conf 100% · 170ms · $0.000 · 170 tok
question
Identify the Burmese capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawwrongknowledge.fr.factbank-v2conf 100% · 333ms · $0.000 · 277 tok
question
Name 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:
Nur-Sultancorrectknowledge.fr.factbank-v2conf 100% · 249ms · $0.000 · 113 tok
question
What is the Burmese capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2anchorconf 100% · 103ms · $0.000 · 63 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 171ms · $0.000 · 175 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 167ms · $0.000 · 99 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 194ms · $0.000 · 160 tok
model answer:
Tungstenmath 29/30 correct
correctmath.percent.chain-v2conf 100% · 334ms · $0.000 · 1503 tok
question
An inventory starts at 79000 units. A rival firm shipped 152 unrelated parcels the same week. In the first month the inventory grows by 21%. The delivery van has a 159-liter fuel tank. The next month it shrinks by 19%, and the month after it grows by 28%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
99107.712correctmath.counterfactual.base-v1conf 100% · 187ms · $0.000 · 466 tok
question
Work strictly in base 11. Multiply the base-11 numbers 71 and 11. Give the result IN BASE 11 (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:
781correctmath.chained.pipeline-v1conf 100% · 380ms · $0.000 · 226 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 57 × 70. Step 2: Q = P × 4 − 808. 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:
5052correctmath.algebra.system-v2conf 100% · 381ms · $0.000 · 231 tok
question
Solve the system, then answer the derived question. 7x + 4y = -160 3x − 9y = -15 What is the value of 2x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-25correctmath.arith.chain-v2conf 100% · 474ms · $0.000 · 397 tok
question
Work out the exact value of this expression. (((31 × 60 − 662) × 3 + 1778) − 71 × 57) × 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:
6625correctmath.chained.pipeline-v1conf 100% · 262ms · $0.000 · 367 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 44 × 69. Step 2: Q = P × 8 − 789. Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3357correctmath.counterfactual.base-v1conf 100% · 251ms · $0.000 · 405 tok
question
Work strictly in base 8. Multiply the base-8 numbers 117 and 132. 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:
15706correctmath.percent.chain-v2conf 100% · 201ms · $0.000 · 421 tok
question
An inventory starts at 25000 units. The warehouse was painted 65 years ago. In the first month the inventory grows by 7%. The warehouse was painted 87 years ago. The next month it shrinks by 30%, and the month after it grows by 19%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
22282.75wrongmath.percent.chain-v2anchorconf 90% · 110ms · $0.001 · 9314 tok
model answer:
62013.742correctmath.algebra.system-v2conf 100% · 261ms · $0.000 · 332 tok
question
Solve the system, then answer the derived question. 7x + 8y = 170 2x − 9y = 105 What is the value of 4x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
140correctmath.arith.chain-v2conf 100% · 348ms · $0.000 · 281 tok
question
Work out the exact value of this expression. (((31 × 94 − 743) × 3 + 2847) − 48 × 50) × 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:
20880correctmath.chained.pipeline-v1conf 100% · 135ms · $0.000 · 262 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 22 × 62. Step 2: Q = P × 9 − 898. 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:
2846correctmath.counterfactual.base-v1conf 100% · 351ms · $0.000 · 289 tok
question
Work strictly in base 8. Add the base-8 numbers 607 and 3072. 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:
3701correctmath.percent.chain-v2conf 100% · 123ms · $0.000 · 499 tok
question
An inventory starts at 7000 units. The warehouse was painted 172 years ago. In the first month the inventory grows by 5%. The warehouse was painted 100 years ago. The next month it shrinks by 10%, and the month after it grows by 11%. 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:
7342.65correctmath.algebra.system-v2conf 100% · 236ms · $0.000 · 234 tok
question
Solve the system, then answer the derived question. 9x + 4y = 268 5x − 4y = 68 What is the value of 4x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
31correctmath.arith.chain-v2conf 100% · 227ms · $0.000 · 341 tok
question
Work out the exact value of this expression. (((24 × 89 − 374) × 7 + 3877) − 13 × 50) × 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:
62244correctmath.chained.pipeline-v1conf 100% · 492ms · $0.000 · 259 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 50 × 34. Step 2: Q = P × 7 − 800. 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:
2775correctmath.counterfactual.base-v1conf 100% · 230ms · $0.000 · 379 tok
question
Work strictly in base 7. Multiply the base-7 numbers 65 and 66. 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:
6402correctmath.arith.chain-v2conf 100% · 331ms · $0.000 · 556 tok
question
Calculate the following. Show your reasoning, then answer. (((79 × 35 − 804) × 8 + 1215) − 62 × 67) × 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:
89243correctmath.percent.chain-v2conf 100% · 179ms · $0.000 · 706 tok
question
An inventory starts at 27000 units. The delivery van has a 141-liter fuel tank. In the first month the inventory grows by 24%. Each pallet weighs about 146 grams more when wet. The next month it shrinks by 25%, and the month after it grows by 18%. 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:
29629.8correctmath.algebra.system-v2conf 100% · 216ms · $0.000 · 294 tok
question
Solve the system, then answer the derived question. 3x + 5y = 121 2x − 7y = 60 What is the value of 3x − 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:
101correctmath.chained.pipeline-v1conf 100% · 123ms · $0.000 · 167 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 15 × 21. Step 2: Q = P × 6 − 782. 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:
370correctmath.counterfactual.base-v1conf 100% · 124ms · $0.000 · 790 tok
question
Work strictly in base 8. Add the base-8 numbers 2752 and 1455. 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:
4427correctmath.percent.chain-v2conf 100% · 236ms · $0.000 · 557 tok
question
An inventory starts at 25000 units. Each pallet weighs about 5 grams more when wet. In the first month the inventory grows by 38%. The company was founded 159 kilometers from the port. The next month it shrinks by 22%, and the month after it grows by 15%. 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:
30946.5correctmath.algebra.system-v2conf 100% · 142ms · $0.000 · 295 tok
question
Solve the system, then answer the derived question. 7x + 2y = -125 4x − 3y = 86 What is the value of 4x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
48correctmath.arith.chain-v2conf 100% · 576ms · $0.000 · 421 tok
question
Work out the exact value of this expression. (((52 × 46 − 267) × 6 + 9375) − 97 × 84) × 6 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
83862correctmath.chained.pipeline-v1conf 100% · 219ms · $0.000 · 205 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 22 × 36. Step 2: Q = P × 5 − 806. Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
454correctmath.counterfactual.base-v1anchorconf 100% · 132ms · $0.000 · 685 tok
model answer:
11236correctmath.arith.chain-v2anchorconf 100% · 152ms · $0.000 · 514 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 178ms · $0.000 · 192 tok
model answer:
87multilingual 28/30 correct
wrongmultilingual.wordnum-v1conf — · 3.4s · $0.000 · 3817 tok
question
A number is written in French: « quatre-vingt-dix-sept ». Another is written in Spanish: « ciento ochenta y ocho ». 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:
(none extracted)correctmultilingual.wordnum-v1conf 100% · 180ms · $0.000 · 579 tok
question
A number is written in French: « neuf cents ». Another is written in Spanish: « novecientos 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:
-4correctmultilingual.numword-v2conf 100% · 335ms · $0.000 · 506 tok
question
Compute 125 + 107, 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:
deux cent trente-deuxcorrectmultilingual.wordnum-v1conf 90% · 1.9s · $0.000 · 485 tok
question
A number is written in French: « six cent quatre-vingt-dix-neuf ». Another is written in Spanish: « ochocientos noventa y ocho ». 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:
-199correctmultilingual.numword-v2conf 100% · 642ms · $0.000 · 304 tok
question
Compute 357 + 307, 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 sesenta y cuatrocorrectmultilingual.wordnum-v1conf 100% · 179ms · $0.000 · 356 tok
question
A number is written in French: « cinq cent treize ». Another is written in Spanish: « seiscientos setenta 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:
1190correctmultilingual.numword-v2conf 100% · 317ms · $0.000 · 2303 tok
question
Compute 442 + 356, 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:
sept cent quatre-vingt-dix-huitcorrectmultilingual.numword-v2conf 100% · 230ms · $0.000 · 107 tok
question
Compute 422 + 320, 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 cuarenta y doscorrectmultilingual.wordnum-v1conf 100% · 310ms · $0.000 · 259 tok
question
A number is written in French: « quatre cent trente-sept ». Another is written in Spanish: « novecientos noventa 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:
1436correctmultilingual.numword-v2conf 100% · 178ms · $0.000 · 134 tok
question
Compute 378 + 393, 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 unocorrectmultilingual.wordnum-v1conf 100% · 169ms · $0.000 · 130 tok
question
A number is written in French: « six cent sept ». Another is written in Spanish: « noventa y dos ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
699wrongmultilingual.numword-v2conf 100% · 201ms · $0.000 · 234 tok
question
Compute 348 + 368, 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:
sept cents seizecorrectmultilingual.wordnum-v1conf 100% · 185ms · $0.000 · 255 tok
question
A number is written in French: « deux cent quarante ». Another is written in Spanish: « trescientos treinta 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:
577correctmultilingual.numword-v2conf 100% · 234ms · $0.000 · 243 tok
question
Compute 258 + 214, 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-douzecorrectmultilingual.wordnum-v1conf 100% · 393ms · $0.000 · 262 tok
question
A number is written in French: « huit cent soixante et un ». Another is written in Spanish: « doscientos catorce ». 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:
1075correctmultilingual.numword-v2conf 100% · 189ms · $0.000 · 209 tok
question
Compute 92 + 286, 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 setenta y ochocorrectmultilingual.wordnum-v1conf 100% · 285ms · $0.000 · 591 tok
question
A number is written in French: « six cent soixante-dix-neuf ». Another is written in Spanish: « ochocientos 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:
-205correctmultilingual.wordnum-v1conf 100% · 279ms · $0.000 · 296 tok
question
A number is written in French: « huit cent quatre-vingt-sept ». Another is written in Spanish: « cuatrocientos once ». 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:
476correctmultilingual.numword-v2conf 100% · 159ms · $0.000 · 151 tok
question
Compute 195 + 260, 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 cincuenta y cincocorrectmultilingual.wordnum-v1conf 100% · 201ms · $0.000 · 177 tok
question
A number is written in French: « trois cent soixante-quinze ». Another is written in Spanish: « trescientos 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:
737correctmultilingual.numword-v2conf 100% · 355ms · $0.000 · 113 tok
question
Compute 172 + 358, 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:
quinientos treintacorrectmultilingual.numword-v2conf 100% · 130ms · $0.000 · 157 tok
question
Compute 446 + 71, 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:
quinientos diecisietecorrectmultilingual.wordnum-v1conf 100% · 192ms · $0.000 · 117 tok
question
A number is written in French: « cent quarante et un ». Another is written in Spanish: « doscientos cincuenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
396correctmultilingual.wordnum-v1conf 100% · 184ms · $0.000 · 704 tok
question
A number is written in French: « trois cent quatre-vingt-dix ». Another is written in Spanish: « quinientos noventa y uno ». 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:
-201correctmultilingual.numword-v2conf 100% · 415ms · $0.000 · 124 tok
question
Compute 282 + 162, 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 cuarenta y cuatrocorrectmultilingual.numword-v2conf 100% · 228ms · $0.000 · 100 tok
question
Compute 135 + 245, 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 ochentacorrectmultilingual.numword-v2anchorconf 100% · 274ms · $0.000 · 314 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 338ms · $0.000 · 111 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 264ms · $0.000 · 127 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 297ms · $0.000 · 260 tok
model answer:
762reasoning 28/30 correct
correctreasoning.deduction.order-v2conf 100% · 354ms · $0.001 · 8112 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Bruno. Jonas is faster than Sami. Ines is faster than Goran. Hana is faster than Sami. Goran is faster than Chen. Sami is faster than Chen. Goran is faster than Jonas. Bruno is faster than Jonas. Mona is older than everyone here, but Mona is not being ranked. Bruno is faster than Ines. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 100% · 136ms · $0.000 · 136 tok
question
Four people stand in a queue (number 1 is the front). Kira is number 3 in the queue. Alice is directly ahead of Bruno. Bruno is directly ahead of Kira. 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:
Alicecorrectreasoning.deduction.order-v2conf 100% · 219ms · $0.000 · 881 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Rosa. Farah is older than Ines. Ines is older than Sami. Tessa is older than Nadir. Tessa is older than Sami. Hana is faster than everyone here, but Hana is not being ranked. Emil is older than Ines. Nadir is older than Farah. Rosa is older than Emil. Nadir is older than Ines. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.order-v2conf 100% · 185ms · $0.000 · 1061 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Chen. Goran is faster than everyone here, but Goran is not being ranked. Emil is taller than Jonas. Bruno is taller than Jonas. Chen is taller than Bruno. Priya is taller than Ola. Ola is taller than Alice. Emil is taller than Priya. Alice is taller than Bruno. Priya is taller than Chen. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 178ms · $0.000 · 331 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Rosa. Farah is number 1 in the queue. Rosa 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:
Hanawrongreasoning.deduction.position-v1conf 70% · 718ms · $0.000 · 2339 tok
question
Four people stand in a queue (number 1 is the front). Priya is number 3 in the queue. Emil is directly ahead of Priya. Chen is directly ahead of Emil. 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:
the remaining personcorrectreasoning.deduction.position-v1conf 100% · 206ms · $0.000 · 287 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Alice. Alice is number 2 in the queue. Tessa is directly ahead of Ines. 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:
Tessacorrectreasoning.deduction.order-v2conf 100% · 112ms · $0.000 · 522 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Kira is taller than Bruno. Chen is taller than Tessa. Dara is taller than Mona. Kira is taller than Tessa. Chen is taller than Bruno. Chen is taller than Dara. Farah is taller than Chen. Bruno is taller than Tessa. Mona is taller than Kira. Jonas is older than everyone here, but Jonas is not being ranked. 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:
Monatruncatedreasoning.deduction.order-v2conf — · 181ms · $0.002 · 16384 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Rosa is faster than Emil. Ines is faster than Goran. Ines is faster than Mona. Sami is faster than Rosa. Bruno is taller than everyone here, but Bruno is not being ranked. Goran is faster than Emil. Mona is faster than Emil. Goran is faster than Mona. Rosa is faster than Ines. Priya is faster than Sami. 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:
(none extracted)correctreasoning.deduction.order-v2conf 100% · 126ms · $0.000 · 796 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Bruno. Goran is faster than Farah. Bruno is faster than Sami. Farah is faster than Bruno. Hana is faster than Dara. Quinn is taller than everyone here, but Quinn is not being ranked. Mona is faster than Farah. Goran is faster than Hana. Mona is faster than Bruno. Dara is faster than Mona. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.position-v1conf 100% · 268ms · $0.000 · 312 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 2 in the queue. Mona is directly ahead of Nadir. Sami 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:
Samicorrectreasoning.deduction.position-v1conf 100% · 136ms · $0.000 · 458 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 2 in the queue. Mona is directly ahead of Nadir. Liam is directly ahead of Tessa. 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:
Nadircorrectreasoning.deduction.order-v2conf 100% · 194ms · $0.000 · 1189 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is heavier than everyone here, but Tessa is not being ranked. Dara is faster than Emil. Chen is faster than Ola. Emil is faster than Ola. Nadir is faster than Emil. Chen is faster than Ola. Goran is faster than Nadir. Chen is faster than Goran. Nadir is faster than Dara. Farah is faster than Chen. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 480ms · $0.000 · 112 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 4 in the queue. Hana is directly ahead of Goran. Goran is directly ahead of Jonas. Kira is directly ahead of Hana. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.order-v2conf 100% · 195ms · $0.000 · 646 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Emil is faster than Quinn. Hana is faster than Nadir. Hana is faster than Ines. Hana is faster than Priya. Jonas is faster than Priya. Nadir is faster than Priya. Quinn is faster than Hana. Ines is faster than Jonas. Ola is older than everyone here, but Ola is not being ranked. Jonas is faster than Nadir. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 100% · 164ms · $0.000 · 320 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Ines. Alice is directly ahead of Hana. Ines is number 2 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 100% · 198ms · $0.000 · 741 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Goran. Liam is older than Hana. Ola is taller than everyone here, but Ola is not being ranked. Alice is older than Emil. Hana is older than Chen. Emil is older than Liam. Quinn is older than Emil. Goran is older than Alice. Liam is older than Chen. Quinn is older than Alice. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 566ms · $0.000 · 222 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Kira. Farah is directly ahead of Ola. Goran is number 1 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:
Olacorrectreasoning.deduction.order-v2conf 100% · 152ms · $0.000 · 707 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Mona. Quinn is older than Priya. Ola is older than Alice. Mona is older than Priya. Quinn is older than Goran. Alice is older than Quinn. Farah is older than Priya. Goran is older than Farah. Ines is heavier than everyone here, but Ines is not being ranked. Goran is older than Mona. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.position-v1conf 100% · 222ms · $0.000 · 524 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Mona. Dara is number 1 in the queue. Alice is directly ahead of Ola. 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:
Olacorrectreasoning.deduction.order-v2conf 100% · 235ms · $0.000 · 1018 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Mona. Quinn is heavier than everyone here, but Quinn is not being ranked. Priya is taller than Bruno. Mona is taller than Chen. Jonas is taller than Priya. Chen is taller than Bruno. Hana is taller than Jonas. Mona is taller than Hana. Mona is taller than Jonas. Priya is taller than Chen. 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:
Chencorrectreasoning.deduction.position-v1conf 100% · 485ms · $0.000 · 282 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Ines. Kira is directly ahead of Mona. Quinn is number 1 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 121ms · $0.000 · 862 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Chen. Ola is taller than Jonas. Priya is taller than Jonas. Kira is taller than Ola. Ola is taller than Priya. Chen is taller than Priya. Liam is taller than Ines. Ola is taller than Jonas. Bruno is older than everyone here, but Bruno is not being ranked. Chen is taller than Kira. 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:
Inescorrectreasoning.deduction.position-v1conf 100% · 237ms · $0.000 · 291 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Dara. Mona is directly ahead of Farah. Chen is directly ahead of Mona. Dara 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:
Monacorrectreasoning.deduction.order-v2conf 100% · 243ms · $0.000 · 491 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Mona is older than Dara. Tessa is older than Mona. Dara is older than Nadir. Ola is older than Nadir. Ola is older than Jonas. Dara is older than Chen. Dara is older than Chen. Nadir is older than Chen. Ines is faster than everyone here, but Ines is not being ranked. Jonas is older than Tessa. 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:
Nadircorrectreasoning.deduction.position-v1conf 100% · 125ms · $0.000 · 201 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Quinn. Sami is directly ahead of Alice. Quinn is number 2 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.order-v2anchorconf 100% · 281ms · $0.000 · 931 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 223ms · $0.000 · 212 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 587ms · $0.000 · 765 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 324ms · $0.000 · 291 tok
model answer:
Farahterminal 30/30 correct
correctterminal.fs.tree-v1conf 100% · 239ms · $0.000 · 2467 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/src`): ``` /proj/conf/main.md /proj/conf/report.md /proj/draft.txt /proj/setup.cfg /proj/src/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 assets-5 cd assets-5 mv ../../proj/conf/report.md ../../proj/conf/util-4.log mkdir -p ../../proj/assets-6 mkdir -p ../../proj/assets-6/logs-3 mv ../../proj/setup.cfg ../../proj/assets-6/logs-3/ cp ../../proj/draft.txt ../../proj/assets-6/ cd ../../proj/assets-6 rm ../../proj/conf/util-4.log cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets-6/draft.txt
/proj/assets-6/logs-3/setup.cfg
/proj/conf/main.md
/proj/draft.txt
/proj/src/todo.mdcorrectterminal.exit.chain-v1conf 100% · 219ms · $0.000 · 1098 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f app.txt && echo E || echo F grep -q dune 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:
B
C
E
H
exit:1correctterminal.fs.tree-v1conf 100% · 228ms · $0.000 · 2861 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/build`, `/proj/src`): ``` /proj/build/main.txt /proj/build/todo.md /proj/draft.md /proj/report.log /proj/src/notes.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv build/todo.md build/draft-1.md cd src rm ../../proj/report.log touch report-1.txt mv notes.log notes-1.md cd ../../proj/logs mkdir -p build-7 touch ../../proj/build/index-2.txt cp ../../proj/src/report-1.txt build-7/ cd ../../proj/src ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/draft-1.md
/proj/build/index-2.txt
/proj/build/main.txt
/proj/draft.md
/proj/logs/build-7/report-1.txt
/proj/src/notes-1.md
/proj/src/report-1.txtcorrectterminal.pipeline.predict-v1conf 100% · 381ms · $0.000 · 536 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ana,eng,102,99
bo,sales,117,53
eli,sales,38,28
pam,sales,113,30
jon,ops,52,38
fay,ops,14,64
ned,hr,3,60
hal,sales,61,69
cy,legal,3,76
max,sales,57,74
dev,eng,22,92
kim,hr,19,64
oli,ops,105,23
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 71 { 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:
2correctterminal.exit.chain-v1conf 100% · 238ms · $0.000 · 896 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B test -f ghost.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F true && echo G || echo H 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:
B
D
F
G
Z
exit:0correctterminal.fs.tree-v1conf 100% · 337ms · $0.000 · 1829 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/logs`): ``` /proj/assets/notes.txt /proj/assets/todo.cfg /proj/main.md /proj/report.txt /proj/src/draft.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 rm assets/todo.cfg rm assets/notes.txt cp main.md logs/ cd src mkdir -p ../../proj/logs/docs-3 mv draft.txt draft-9.txt cp draft-9.txt ../../proj/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:
/proj/assets/draft-9.txt
/proj/logs/main.md
/proj/main.md
/proj/report.txt
/proj/src/draft-9.txtcorrectterminal.pipeline.predict-v1conf 100% · 272ms · $0.000 · 687 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,legal,21,61 bo,eng,21,87 jon,legal,41,78 oli,eng,53,24 max,sales,63,94 gus,ops,105,74 cy,legal,29,69 eli,legal,63,11 ivy,hr,55,63 pam,legal,27,27 ned,legal,56,80 hal,hr,107,59 ``` 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:
gus,105correctterminal.exit.chain-v1conf 100% · 169ms · $0.000 · 443 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B test -f ghost.txt && echo C || echo D test -f app.txt && echo E || echo F grep -q coral 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:
B
D
E
H
Z
exit:0correctterminal.fs.tree-v1conf 100% · 258ms · $0.000 · 1167 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/conf`): ``` /proj/conf/draft.txt /proj/conf/report.md /proj/docs/index.cfg /proj/main.cfg /proj/todo.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 conf/util-1.cfg rm main.cfg touch docs/util-4.md mkdir -p conf/docs-7 mv docs/util-4.md docs/util-1.md rm conf/report.md mkdir -p conf/logs-1 rm docs/index.cfg cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/draft.txt
/proj/conf/util-1.cfg
/proj/docs/util-1.md
/proj/todo.cfgcorrectterminal.pipeline.predict-v1conf 100% · 1.3s · $0.000 · 805 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,legal,58,59 jon,eng,14,66 max,legal,8,91 hal,hr,40,65 pam,sales,113,23 gus,eng,24,18 dev,hr,53,99 ivy,eng,14,89 fay,eng,62,93 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | sort -t, -k3,3n | tail -n 3 ``` 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:
max,legal,8,91
ana,legal,58,59correctterminal.exit.chain-v1conf 100% · 183ms · $0.000 · 568 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q coral notes.txt && echo C || echo D true && 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:
A
C
E
exit:1correctterminal.pipeline.predict-v1conf 100% · 248ms · $0.000 · 453 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
dev,sales,70,86
lou,hr,5,79
kim,eng,27,94
ana,ops,31,60
pam,sales,62,55
max,legal,89,38
jon,hr,20,66
oli,hr,91,22
fay,eng,73,44
bo,ops,108,25
ned,ops,10,93
eli,hr,76,75
cy,sales,103,17
hal,ops,87,85
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 48 { 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:
1correctterminal.exit.chain-v1conf 100% · 383ms · $0.000 · 770 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B false && echo C || echo D test -f app.txt && echo E || echo F grep -q coral 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:
B
D
E
H
Z
exit:0correctterminal.fs.tree-v1conf 100% · 151ms · $0.000 · 1305 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/conf`, `/proj/docs`): ``` /proj/assets/report.cfg /proj/assets/util.txt /proj/conf/draft.md /proj/setup.cfg /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 mv todo.log util-5.txt touch util-9.cfg mv util-5.txt ./ mv setup.cfg draft-1.log mkdir -p assets/conf-1 cd conf mv draft.md main-2.log rm ../../proj/assets/report.cfg cd ../../proj/assets/conf-1 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/util.txt
/proj/conf/main-2.log
/proj/draft-1.log
/proj/util-5.txt
/proj/util-9.cfgcorrectterminal.fs.tree-v1conf 100% · 280ms · $0.000 · 1558 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/src`, `/proj/assets`): ``` /proj/draft.txt /proj/logs/report.cfg /proj/logs/setup.cfg /proj/logs/todo.txt /proj/main.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 logs-2 touch assets/notes-3.log mkdir -p src/docs-4 cd logs-2 mv ../../proj/assets/notes-3.log ../../proj/assets/index-2.cfg touch ../../proj/setup-7.md cd ../../proj/src/docs-4 rm ../../../proj/assets/index-2.cfg cd ../../../proj/logs mkdir -p ../../proj/src/logs-3 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/draft.txt
/proj/logs/report.cfg
/proj/logs/setup.cfg
/proj/logs/todo.txt
/proj/main.log
/proj/setup-7.mdcorrectterminal.pipeline.predict-v1conf 100% · 415ms · $0.000 · 681 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ana,eng,51,71
dev,hr,66,95
eli,ops,9,65
pam,legal,34,32
max,sales,26,50
hal,ops,65,68
oli,ops,8,92
lou,eng,45,62
ned,hr,46,37
cy,hr,93,22
```
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:
82correctterminal.exit.chain-v1conf 100% · 358ms · $0.000 · 565 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
exit:1correctterminal.pipeline.predict-v1conf 100% · 284ms · $0.000 · 668 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,legal,83,59
pam,sales,60,29
ivy,legal,13,72
jon,eng,54,27
eli,hr,66,70
fay,ops,20,79
cy,hr,43,73
ned,legal,12,37
dev,hr,79,11
max,sales,42,66
ana,sales,29,85
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 41 { 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:
2correctterminal.exit.chain-v1conf 100% · 427ms · $0.000 · 598 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f tmp.txt && echo C || echo D grep -q amber notes.txt && 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:
A
D
E
Z
exit:0correctterminal.fs.tree-v1conf 99% · 113ms · $0.000 · 1157 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/assets`): ``` /proj/assets/report.md /proj/assets/setup.log /proj/draft.md /proj/main.log /proj/src/notes.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 rm src/notes.md cp assets/setup.log ./ mv draft.md todo-6.md mv setup.log conf/ cd src rm ../../proj/main.log mv ../../proj/assets/report.md ../../proj/assets/todo-5.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/setup.log
/proj/assets/todo-5.cfg
/proj/conf/setup.log
/proj/todo-6.mdcorrectterminal.pipeline.predict-v1conf 100% · 390ms · $0.000 · 442 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ivy,eng,116,41
bo,ops,46,15
pam,sales,5,30
gus,sales,70,78
hal,hr,99,25
fay,hr,64,73
dev,eng,117,14
cy,sales,106,48
lou,sales,4,70
ana,legal,35,34
ned,eng,38,80
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 56 { 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:
0correctterminal.fs.tree-v1conf 100% · 144ms · $0.000 · 1771 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/conf`, `/proj/logs`): ``` /proj/assets/draft.md /proj/conf/notes.txt /proj/logs/todo.log /proj/report.md /proj/setup.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 mv report.md report-2.txt rm report-2.txt cd assets mkdir -p ../../proj/logs/src-6 cd ../../proj/logs/src-6 cp ../../../proj/assets/draft.md ../../../proj/logs/ touch ../../../proj/conf/notes-7.log rm ../../../proj/logs/draft.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:
/proj/assets/draft.md
/proj/conf/notes-7.log
/proj/conf/notes.txt
/proj/logs/todo.log
/proj/setup.cfgcorrectterminal.exit.chain-v1conf 100% · 192ms · $0.000 · 964 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 true && echo A || echo B false && echo C || echo D test -f tmp.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
exit:1correctterminal.fs.tree-v1conf 100% · 329ms · $0.000 · 3129 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/logs`, `/proj/src`): ``` /proj/draft.txt /proj/logs/index.cfg /proj/logs/report.log /proj/logs/setup.md /proj/main.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm logs/report.log cd docs cp ../../proj/logs/setup.md ../../proj/src/ cd ../../proj/src cp ../../proj/draft.txt ../../proj/docs/ cd ../../proj touch logs/todo-6.cfg cd src mkdir -p ../../proj/logs-8 rm ../../proj/docs/draft.txt cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/draft.txt
/proj/logs/index.cfg
/proj/logs/setup.md
/proj/logs/todo-6.cfg
/proj/main.cfg
/proj/src/setup.mdcorrectterminal.pipeline.predict-v1conf 100% · 366ms · $0.000 · 709 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,ops,42,84 max,eng,113,21 gus,hr,27,40 ned,hr,92,10 lou,eng,35,10 fay,ops,62,33 ana,hr,64,23 pam,legal,30,74 dev,legal,47,97 oli,sales,83,86 hal,ops,58,12 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 3 ``` 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:
gus,hr,27,40
ana,hr,64,23
ned,hr,92,10correctterminal.exit.chain-v1conf 100% · 241ms · $0.000 · 833 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D test -f 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:
B
C
F
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 201ms · $0.000 · 804 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 137ms · $0.000 · 984 tok
model answer:
B
D
E
G
exit:1correctterminal.fs.tree-v1anchorconf 99% · 252ms · $0.000 · 1094 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.pipeline.predict-v1anchorconf 100% · 299ms · $0.000 · 489 tok
model answer:
1Run history
- 2026-08-05v0.2.0index_fit762
- 2026-08-05v0.2.0index_fit791