Nex AGI: Nex-N2-Pro

nex-agi/nex-n2-pro · nex-agi · context 262 144 · in $0.250/1M · out $1.00/1M

Global Index

779

95% CI [732–826] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	828 [732–924]	0.813	0.82	0.97	0.038	769ms	$1.67
code	735 [605–865]	0.695	0.88	0.93	0.077	805ms	$0.396
instruction following	777 [642–913]	0.728	0.82	0.97	0.038	725ms	$0.738
knowledge	723 [551–894]	0.542	0.98	1.00	0.000	766ms	$0.090
math	826 [669–984]	0.723	0.95	1.00	0.000	760ms	$0.352
multilingual	819 [654–983]	0.698	1.00	1.00	0.000	752ms	$0.188
reasoning	795 [649–941]	0.712	1.00	0.97	0.038	767ms	$0.281
terminal	856 [761–952]	0.814	1.00	0.97	0.038	749ms	$0.642
vision ocr	654 [497–811]	0.534	0.98	0.94	0.077	1.8s	$0.300

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 29/30 correct

correctagentic.tools.context-load-v1conf 100% · 693ms · $0.009 · 8071 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 (291 records, format: id|customer|region|item|qty|status):
```
1587|juno|south|sensor|27|pending
1206|ember|west|cable|54|held
1836|ember|west|valve|29|pending
1740|cobalt|west|pump|75|held
1870|cobalt|west|valve|23|paid
1716|dorian|west|rotor|40|pending
1905|ionic|south|panel|67|shipped
1230|harbor|south|cable|84|shipped
1301|ember|south|pump|27|held
1801|ember|south|gasket|20|paid
1575|birch|east|rotor|67|shipped
1772|harbor|east|gasket|64|held
1728|ionic|north|cable|27|paid
1864|dorian|south|panel|71|pending
2107|ionic|west|valve|90|held
1171|ionic|east|frame|84|pending
1909|gale|south|frame|24|shipped
1393|ionic|north|frame|40|pending
1996|gale|south|gasket|23|shipped
2228|dorian|north|rotor|63|held
1945|ember|south|cable|55|shipped
1735|acme|south|gasket|24|shipped
1868|gale|east|valve|97|pending
2211|birch|west|valve|24|shipped
2016|cobalt|north|cable|63|held
1665|ember|south|valve|18|pending
1626|harbor|west|valve|78|paid
2115|fulton|west|panel|96|pending
1488|ionic|east|cable|65|held
2162|birch|north|rotor|19|shipped
1346|juno|east|gasket|56|shipped
1668|dorian|north|pump|54|paid
1846|gale|east|panel|71|paid
1437|ionic|north|panel|50|paid
2167|ionic|north|pump|55|pending
1873|juno|east|valve|55|shipped
1169|ionic|north|pump|59|pending
1670|cobalt|east|pump|18|held
1291|birch|south|rotor|67|held
1636|ember|east|gasket|49|held
1396|acme|north|cable|37|held
1879|dorian|west|valve|13|shipped
2217|cobalt|north|valve|93|paid
1978|cobalt|south|valve|41|held
1590|fulton|east|frame|28|shipped
1853|dorian|south|pump|68|shipped
1415|harbor|east|frame|72|paid
1451|cobalt|south|pump|33|shipped
1811|acme|north|panel|11|held
1984|birch|east|valve|89|shipped
1808|ionic|south|pump|34|shipped
2025|ionic|east|panel|11|held
2140|fulton|south|sensor|72|pending
1884|harbor|east|pump|94|paid
2153|dorian|south|gasket|54|held
1951|cobalt|east|pump|41|pending
2010|fulton|west|sensor|37|shipped
1632|juno|north|cable|91|held
2188|gale|north|cable|30|pending
1204|ember|east|cable|74|paid
2086|acme|west|sensor|95|held
1849|dorian|west|pump|90|shipped
1297|gale|north|sensor|71|shipped
1187|ionic|north|sensor|65|paid
2042|juno|south|gasket|67|paid
1831|juno|east|panel|83|paid
1964|ionic|east|pump|26|shipped
1661|birch|west|gasket|47|paid
1268|ember|west|frame|69|held
1536|cobalt|west|panel|74|shipped
1410|acme|east|frame|92|held
1709|birch|east|rotor|85|paid
1428|ember|west|rotor|10|pending
2132|juno|east|rotor|83|held
2160|fulton|west|panel|69|shipped
1997|dorian|west|cable|23|paid
1521|cobalt|west|valve|61|paid
1563|ember|north|cable|43|held
1893|ionic|west|cable|99|held
2184|juno|south|valve|19|paid
2077|juno|south|valve|18|pending
1448|gale|east|gasket|74|paid
1669|birch|east|gasket|62|shipped
1425|dorian|west|frame|97|shipped
2054|gale|east|gasket|66|paid
1707|gale|north|frame|75|shipped
1994|birch|north|sensor|12|held
2073|juno|east|panel|15|held
1385|dorian|north|sensor|81|held
1402|gale|south|panel|84|held
1326|gale|south|frame|51|held
1458|ionic|west|gasket|96|pending
1611|cobalt|east|panel|84|shipped
1237|ionic|south|valve|18|paid
2123|cobalt|north|pump|40|pending
2120|ember|south|panel|29|pending
1404|harbor|west|rotor|31|held
2003|juno|west|rotor|92|paid
1362|juno|north|pump|17|held
1751|gale|north|gasket|49|paid
1936|juno|south|sensor|26|held
1789|acme|west|frame|43|held
2204|birch|south|gasket|77|paid
1278|gale|west|gasket|38|shipped
1761|ionic|west|gasket|10|held
2101|gale|east|cable|43|pending
1515|acme|east|frame|58|paid
1758|harbor|east|pump|20|pending
2034|fulton|south|gasket|41|shipped
1190|ionic|north|valve|67|pending
1356|cobalt|north|cable|29|shipped
1234|birch|west|cable|33|paid
1607|dorian|west|panel|83|shipped
2066|cobalt|south|rotor|31|paid
1717|harbor|south|panel|33|held
2027|gale|north|sensor|95|held
2233|dorian|west|rotor|34|pending
2037|juno|west|frame|49|held
1689|acme|north|pump|53|paid
1505|cobalt|south|frame|34|held
2156|dorian|north|sensor|36|pending
1906|gale|north|pump|25|pending
1321|dorian|east|gasket|40|held
1656|birch|east|gasket|35|pending
1541|fulton|west|pump|80|pending
1714|acme|south|valve|18|held
2113|ionic|west|pump|26|held
1508|cobalt|west|valve|34|pending
2050|fulton|north|cable|20|held
1708|gale|north|pump|48|paid
1573|dorian|north|valve|45|pending
1874|ember|south|valve|20|pending
1245|ionic|east|frame|62|paid
1819|gale|south|sensor|54|held
1215|acme|south|valve|36|pending
1193|ionic|west|frame|96|pending
1495|birch|south|rotor|95|pending
1891|acme|south|cable|24|pending
1556|dorian|north|cable|47|paid
1695|acme|west|frame|39|paid
1164|ionic|north|pump|44|held
1529|juno|west|sensor|85|pending
1777|juno|east|gasket|14|held
1476|fulton|south|valve|37|pending
1398|juno|south|rotor|13|held
1331|acme|west|rotor|27|pending
1686|ember|east|gasket|69|held
1958|harbor|east|frame|28|held
1400|ember|north|valve|98|shipped
1155|ionic|north|panel|31|pending
1675|cobalt|north|valve|47|paid
1900|juno|west|cable|46|pending
1383|birch|east|frame|46|paid
1824|birch|west|valve|23|paid
1559|fulton|south|rotor|17|shipped
2179|ember|west|cable|21|pending
1880|ember|east|panel|42|paid
1262|ember|north|cable|42|paid
1682|juno|south|panel|13|held
2128|acme|south|sensor|28|paid
1724|acme|north|cable|27|pending
1208|fulton|south|frame|66|shipped
1162|ionic|west|rotor|68|pending
2134|birch|east|frame|61|shipped
1904|ember|south|panel|17|pending
2210|dorian|west|panel|86|held
1376|cobalt|west|frame|48|held
1293|cobalt|west|valve|35|held
1222|dorian|north|gasket|57|shipped
1920|juno|east|valve|16|pending
1991|harbor|south|gasket|66|paid
1643|harbor|east|pump|12|pending
2221|cobalt|east|rotor|51|shipped
2159|harbor|west|rotor|48|paid
1434|fulton|east|gasket|91|shipped
1797|juno|east|panel|72|paid
1850|birch|south|valve|77|pending
2090|birch|north|valve|90|held
2229|ionic|west|gasket|60|paid
2145|fulton|north|panel|46|paid
1617|fulton|north|pump|20|held
2018|harbor|south|pump|37|shipped
1702|birch|west|cable|26|shipped
1856|acme|north|sensor|93|pending
1548|harbor|north|cable|29|shipped
1334|fulton|west|cable|49|pending
1384|cobalt|south|frame|56|paid
1503|ember|south|rotor|31|held
1380|ionic|west|gasket|21|held
1805|cobalt|west|gasket|25|held
1471|ember|west|frame|48|paid
1955|juno|north|pump|58|shipped
1840|dorian|south|cable|13|paid
1195|ionic|north|sensor|78|paid
1992|ember|west|rotor|85|held
1783|acme|east|sensor|36|paid
1486|birch|south|rotor|22|held
1527|gale|west|panel|58|pending
1747|cobalt|east|frame|89|paid
1330|fulton|east|valve|92|pending
1770|birch|north|rotor|84|held
1601|gale|east|cable|99|pending
1364|acme|north|cable|70|paid
2062|dorian|north|gasket|60|shipped
1216|birch|west|valve|81|shipped
1791|ember|east|frame|44|pending
1683|fulton|south|pump|11|pending
1912|gale|east|frame|11|held
1623|dorian|south|valve|87|pending
1977|harbor|south|valve|90|held
1256|ionic|west|cable|23|pending
1210|acme|west|cable|17|held
1571|juno|west|sensor|53|pending
2071|birch|north|sensor|88|pending
1649|juno|west|pump|41|shipped
1273|gale|east|pump|56|shipped
1177|ionic|north|pump|82|held
1551|birch|north|frame|23|shipped
1940|cobalt|west|rotor|20|paid
1289|acme|south|sensor|97|pending
1464|dorian|north|pump|59|held
2172|acme|west|pump|77|held
2013|gale|south|panel|79|pending
1483|juno|west|gasket|68|pending
1254|juno|south|rotor|19|shipped
1890|harbor|south|pump|70|pending
1763|birch|west|pump|83|shipped
1313|gale|west|sensor|75|pending
1199|harbor|east|sensor|48|held
1861|cobalt|south|rotor|74|held
1927|ionic|east|cable|59|pending
1971|birch|west|sensor|93|pending
1265|cobalt|west|valve|30|shipped
1308|fulton|north|panel|23|held
2152|dorian|south|cable|54|pending
2201|harbor|south|frame|14|shipped
2044|gale|west|valve|91|paid
1180|ionic|north|gasket|64|pending
2082|ember|east|panel|38|shipped
1366|gale|east|valve|25|held
2009|cobalt|west|panel|21|shipped
1251|juno|north|pump|37|shipped
1583|cobalt|north|pump|74|paid
2058|gale|south|sensor|13|shipped
1349|juno|west|pump|78|shipped
1690|dorian|north|rotor|52|paid
1387|ionic|south|frame|98|shipped
1211|birch|south|gasket|42|paid
1315|ember|west|pump|97|held
2164|ember|south|sensor|35|pending
1930|cobalt|west|pump|29|pending
1580|birch|north|frame|79|shipped
1358|acme|west|cable|64|held
1282|acme|east|pump|58|paid
2198|birch|west|gasket|43|held
1565|birch|east|rotor|72|paid
1500|ember|north|pump|71|held
1261|fulton|south|gasket|36|paid
1678|acme|south|valve|81|pending
1184|ionic|west|cable|67|pending
1323|harbor|south|rotor|58|pending
1341|ember|west|pump|31|pending
1449|juno|west|rotor|42|shipped
2195|birch|north|frame|79|pending
2097|acme|north|panel|33|pending
1303|birch|east|frame|44|paid
1371|cobalt|west|cable|98|held
1238|fulton|south|frame|11|paid
1229|cobalt|east|rotor|98|shipped
1922|harbor|south|valve|81|shipped
1917|gale|north|rotor|14|paid
1596|cobalt|north|cable|81|shipped
1619|ember|south|rotor|43|pending
1820|birch|south|panel|96|shipped
1244|fulton|west|panel|27|shipped
1816|acme|north|frame|36|pending
1608|juno|west|frame|63|held
2043|acme|south|gasket|97|pending
1347|acme|east|cable|49|pending
1420|ionic|east|sensor|82|shipped
2230|fulton|north|gasket|80|pending
1671|fulton|west|gasket|51|held
1886|ember|west|sensor|31|pending
2014|juno|south|gasket|40|shipped
2122|birch|north|rotor|97|paid
2038|acme|west|cable|60|shipped
1442|juno|east|gasket|27|held
1647|cobalt|north|sensor|60|pending
1320|harbor|south|cable|82|pending
2094|ember|west|sensor|99|held
1680|acme|north|sensor|25|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "cancel_order", "args": {"order_id": 1155}},
  {"tool": "cancel_order", "args": {"order_id": 1169}},
  {"tool": "cancel_order", "args": {"order_id": 1180}},
  {"tool": "cancel_order", "args": {"order_id": 1190}},
  {"tool": "cancel_order", "args": {"order_id": 1393}},
  {"tool": "cancel_order", "args": {"order_id": 2167}}
]

correctagentic.tools.context-load-v1conf 100% · 1.8s · $0.004 · 2930 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 (151 records, format: id|customer|region|item|qty|status):
```
1869|gale|south|rotor|33|shipped
1705|juno|north|gasket|12|paid
1888|ionic|east|gasket|69|pending
1559|cobalt|west|valve|80|pending
1787|cobalt|south|panel|30|paid
1686|gale|east|frame|47|paid
1438|juno|north|gasket|93|pending
1751|fulton|north|cable|29|paid
1850|acme|east|pump|48|pending
1774|harbor|south|pump|76|pending
1612|gale|north|valve|90|paid
1435|juno|east|frame|39|pending
1506|ember|west|cable|33|pending
1535|birch|north|valve|72|held
1669|ember|south|pump|75|shipped
1937|juno|north|valve|12|paid
1564|acme|south|frame|60|held
1951|dorian|north|sensor|30|held
1728|ionic|east|frame|27|paid
1468|cobalt|west|sensor|65|paid
1602|fulton|south|panel|11|shipped
1748|fulton|east|valve|45|paid
1731|juno|north|cable|81|shipped
1518|ember|north|valve|38|paid
1895|acme|north|cable|33|pending
1848|ember|west|gasket|76|held
1706|dorian|south|gasket|48|shipped
1621|dorian|south|sensor|81|pending
1720|birch|north|valve|98|held
1700|birch|west|sensor|21|paid
1618|ionic|west|panel|92|held
1589|acme|east|pump|94|shipped
1870|fulton|north|frame|80|held
1472|juno|north|cable|92|pending
1744|harbor|east|cable|23|pending
1918|ionic|east|valve|86|shipped
1785|acme|north|frame|81|held
1956|fulton|south|sensor|63|pending
1882|ionic|north|valve|84|paid
1676|gale|west|pump|15|held
1463|fulton|west|pump|72|paid
1936|gale|west|rotor|80|shipped
1945|birch|south|cable|14|paid
1440|juno|east|pump|93|paid
1798|birch|north|rotor|44|held
1828|ember|east|panel|17|held
1492|birch|north|frame|44|paid
1955|cobalt|north|valve|16|held
1511|juno|south|valve|46|pending
1767|juno|south|rotor|99|held
1876|ionic|west|panel|42|shipped
1668|birch|west|frame|40|shipped
1802|fulton|west|cable|22|held
1412|juno|east|rotor|12|pending
1683|cobalt|north|valve|42|shipped
1863|cobalt|west|valve|41|held
1809|ember|west|panel|16|pending
1657|harbor|north|cable|76|pending
1873|acme|south|panel|60|pending
1821|cobalt|west|gasket|35|held
1596|ionic|west|valve|12|paid
1429|juno|south|pump|60|pending
1578|ionic|north|cable|48|pending
1549|ember|south|gasket|43|pending
1543|ionic|east|pump|87|paid
1609|fulton|east|gasket|48|shipped
1713|gale|south|panel|12|pending
1897|acme|east|frame|87|pending
1470|birch|south|valve|35|shipped
1727|fulton|west|frame|38|shipped
1834|cobalt|west|pump|56|pending
1571|dorian|east|valve|49|paid
1452|ionic|south|valve|67|pending
1703|gale|east|gasket|85|pending
1441|ionic|east|cable|25|pending
1650|acme|south|panel|70|shipped
1849|ionic|south|pump|65|pending
1889|juno|south|pump|48|paid
1752|ember|west|pump|73|shipped
1779|acme|south|pump|66|shipped
1479|ember|south|rotor|61|shipped
1878|ember|north|gasket|27|held
1466|fulton|east|pump|76|held
1655|gale|east|frame|60|pending
1402|juno|south|panel|81|pending
1815|ember|north|cable|29|held
1432|juno|east|pump|81|paid
1776|ionic|north|gasket|98|pending
1556|ember|west|valve|21|held
1446|harbor|west|pump|83|held
1921|dorian|west|frame|14|shipped
1736|gale|west|pump|46|pending
1593|gale|north|sensor|98|held
1933|fulton|west|panel|62|pending
1627|dorian|south|cable|78|paid
1422|juno|east|panel|98|pending
1949|acme|west|sensor|79|paid
1397|juno|east|sensor|37|pending
1689|cobalt|west|cable|47|pending
1651|juno|south|sensor|10|held
1418|juno|east|panel|66|held
1714|cobalt|north|frame|51|held
1899|dorian|north|gasket|22|pending
1645|ionic|west|panel|80|held
1408|juno|east|rotor|15|shipped
1901|fulton|west|pump|62|paid
1467|ionic|east|rotor|82|shipped
1759|ember|north|panel|49|pending
1761|cobalt|north|valve|72|paid
1808|ember|south|gasket|25|paid
1810|ember|east|rotor|14|held
1485|dorian|north|pump|23|pending
1413|juno|west|panel|60|pending
1486|ember|south|frame|58|held
1740|acme|south|cable|27|paid
1693|dorian|east|panel|79|paid
1456|harbor|south|valve|63|pending
1792|dorian|north|gasket|34|paid
1540|fulton|east|valve|82|pending
1487|gale|west|pump|28|pending
1505|fulton|west|gasket|88|pending
1637|ionic|west|rotor|21|held
1525|harbor|north|sensor|39|held
1908|ionic|west|panel|53|paid
1875|dorian|south|pump|83|shipped
1928|harbor|east|rotor|42|pending
1585|dorian|north|panel|96|shipped
1634|harbor|east|frame|45|paid
1599|harbor|south|gasket|58|shipped
1643|ember|west|pump|96|pending
1662|ember|north|sensor|18|held
1912|acme|east|cable|92|pending
1503|birch|south|valve|76|shipped
1934|dorian|south|sensor|61|held
1854|gale|west|frame|38|paid
1943|cobalt|north|gasket|64|held
1473|dorian|south|gasket|41|pending
1598|juno|south|pump|79|held
1900|juno|south|sensor|72|held
1822|birch|west|gasket|86|held
1694|cobalt|north|sensor|44|held
1841|fulton|south|rotor|61|shipped
1916|acme|south|gasket|64|pending
1944|acme|north|valve|68|shipped
1555|acme|north|panel|78|held
1499|harbor|west|frame|42|paid
1857|harbor|west|valve|29|shipped
1534|acme|south|valve|33|pending
1459|juno|east|panel|42|held
1528|harbor|north|frame|51|held
1734|fulton|north|rotor|48|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 59, 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": 1397}},
  {"tool": "cancel_order", "args": {"order_id": 1412}},
  {"tool": "restock", "args": {"item": "panel", "qty": 98}},
  {"tool": "cancel_order", "args": {"order_id": 1435}}
]

correctagentic.tools.ledger-v1conf 100% · 616ms · $0.001 · 511 tok

question

You are a treasury agent operating strictly through tool calls.

TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)

OPENING BALANCES:
- tango: $581
- bravo: $812
- echo: $616

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $237 from "echo" to "bravo"
2. pay $278 from "echo" to "bravo"
3. pay $404 from "tango" to "echo"
4. pay $171 from "tango" 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": "echo",
      "to": "bravo",
      "amount": 237
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "echo",
      "to": "bravo",
      "amount": 278
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "tango",
      "to": "echo",
      "amount": 404
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "tango",
      "to": "bravo",
      "amount": 171
    }
  }
]

correctagentic.tools.triage-v1conf 100% · 807ms · $0.001 · 616 tok

question

You operate a support desk strictly through tool calls.

TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- data → rivera
- auth → haddad
- infra → chen

INCIDENTS:
1. "records missing after import" (category: data, priority 2)
2. "locked out after 2FA change" (category: auth, priority 4)
3. "locked out after 2FA change" (category: auth, priority 4)
4. "dashboard shows stale numbers" (category: data, 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": "records missing after import", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
  {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
  {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 4}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
  {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "rivera"}}
]

correctagentic.tools.deploy-v1conf 100% · 543ms · $0.000 · 360 tok

question

You are a release agent operating strictly through tool calls.

TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: auth-svc, gateway
- auth-svc: (none)
- reports: auth-svc
- gateway: auth-svc

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "health_check", "args": {"service": "reports"}},
  {"tool": "deploy", "args": {"service": "notifier"}}
]

correctagentic.tools.ledger-v1conf 100% · 576ms · $0.001 · 770 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: $423
- alpha: $700
- kilo: $169

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $83 from "alpha" to "oscar"
2. pay $372 from "kilo" to "oscar"
3. pay $501 from "alpha" to "oscar"
4. pay $339 from "alpha" 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": "alpha", "to": "oscar", "amount": 83}},
  {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 203}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 372}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 501}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 223}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 339}}
]

wrongagentic.tools.triage-v1conf 100% · 581ms · $0.001 · 1228 tok

question

You operate a support desk strictly through tool calls.

TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- infra → haddad
- auth → silva
- payments → tanaka

INCIDENTS:
1. "API latency spikes" (category: infra, priority 9)
2. "API latency spikes" (category: infra, priority 9)
3. "card declined at checkout" (category: payments, priority 4)
4. "API latency spikes" (category: infra, priority 6)

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {
    "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": "haddad"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "API latency spikes",
      "priority": 9
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "card declined at checkout",
      "priority": 4
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "API latency spikes",
      "priority": 6
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-4",
      "resolution": "duplicate of TCK-1"
    }
  }
]

correctagentic.tools.ledger-v1conf 100% · 976ms · $0.001 · 1029 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:
- echo: $191
- oscar: $256
- lima: $325

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $362 from "echo" to "oscar"
2. pay $584 from "oscar" to "echo"
3. pay $563 from "echo" to "lima"
4. pay $290 from "echo" to "oscar"
5. pay $543 from "echo" to "lima"

RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {
    "tool": "top_up_from_reserve",
    "args": {
      "account": "echo",
      "amount": 171
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "echo",
      "to": "oscar",
      "amount": 362
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "oscar",
      "to": "echo",
      "amount": 584
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "echo",
      "to": "lima",
      "amount": 563
    }
  },
  {
    "tool": "top_up_from_reserve",
    "args": {
      "account": "echo",
      "amount": 269
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "echo",
      "to": "oscar",
      "amount": 290
    }
  },
  {
    "tool": "top_up_from_reserve",
    "args": {
      "account": "echo",
      "amount": 543
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "echo",
      "to": "lima",
      "amount": 543
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 833ms · $0.001 · 665 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)
- billing: reports, search
- reports: search
- gateway: reports, search

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
  {"tool": "deploy", "args": {"service": "gateway"}}
]

correctagentic.tools.context-load-v1conf 100% · 629ms · $0.002 · 1410 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 (122 records, format: id|customer|region|item|qty|status):
```
1664|dorian|north|cable|21|paid
1550|dorian|north|pump|58|pending
1520|ionic|east|valve|26|pending
1447|harbor|west|panel|14|shipped
1810|juno|south|gasket|60|paid
1805|acme|north|gasket|12|shipped
1799|gale|west|gasket|64|shipped
1756|harbor|east|panel|38|pending
1453|harbor|south|sensor|76|shipped
1784|birch|south|gasket|49|pending
1610|juno|north|pump|49|shipped
1693|gale|west|rotor|42|held
1442|gale|east|rotor|81|paid
1828|harbor|south|cable|35|paid
1831|harbor|west|valve|95|shipped
1597|acme|south|cable|52|paid
1634|cobalt|north|cable|81|held
1781|gale|south|rotor|68|paid
1654|ember|south|sensor|32|shipped
1705|harbor|south|pump|61|shipped
1508|dorian|west|panel|15|paid
1774|cobalt|north|pump|20|pending
1396|cobalt|east|sensor|81|pending
1407|cobalt|east|valve|25|pending
1769|birch|west|gasket|70|paid
1702|juno|north|cable|75|paid
1524|birch|west|gasket|26|held
1456|fulton|west|gasket|97|shipped
1569|cobalt|south|frame|63|pending
1431|gale|east|cable|73|paid
1779|dorian|west|cable|19|shipped
1435|ionic|north|valve|70|pending
1820|juno|south|cable|33|paid
1608|birch|east|gasket|85|paid
1576|acme|south|sensor|44|held
1638|harbor|south|panel|80|held
1677|gale|east|rotor|20|held
1640|ionic|south|sensor|39|paid
1398|cobalt|south|cable|17|pending
1441|harbor|north|sensor|66|paid
1617|ionic|east|valve|56|pending
1563|gale|south|valve|46|shipped
1421|cobalt|west|cable|35|pending
1653|juno|east|pump|55|pending
1546|juno|north|frame|67|held
1734|gale|south|gasket|13|held
1512|acme|east|sensor|88|pending
1797|cobalt|south|pump|58|held
1500|ember|east|panel|91|pending
1416|cobalt|east|rotor|84|pending
1722|juno|west|cable|95|shipped
1787|dorian|east|valve|28|shipped
1663|fulton|south|rotor|63|paid
1633|dorian|north|valve|24|paid
1624|birch|north|sensor|39|pending
1699|gale|west|panel|15|held
1801|gale|north|frame|35|paid
1552|juno|west|pump|77|pending
1740|fulton|east|cable|48|shipped
1742|juno|south|valve|21|pending
1603|fulton|south|cable|23|shipped
1600|cobalt|south|cable|14|paid
1825|birch|west|sensor|57|shipped
1755|cobalt|north|sensor|56|shipped
1488|harbor|south|gasket|11|held
1669|juno|north|sensor|94|pending
1405|cobalt|east|pump|58|held
1809|ionic|south|panel|45|held
1701|ember|south|pump|80|shipped
1580|dorian|west|panel|53|shipped
1655|dorian|west|frame|68|pending
1762|dorian|east|cable|55|pending
1711|ionic|east|cable|13|paid
1451|juno|east|panel|57|pending
1823|dorian|north|pump|60|pending
1670|gale|south|cable|71|held
1687|gale|north|gasket|77|held
1538|acme|north|sensor|90|pending
1424|cobalt|east|cable|50|paid
1518|ionic|east|frame|65|pending
1463|dorian|south|frame|55|paid
1557|birch|south|gasket|27|paid
1770|juno|west|rotor|80|shipped
1574|acme|north|cable|20|shipped
1547|cobalt|north|sensor|47|paid
1661|birch|north|gasket|17|pending
1717|fulton|west|panel|52|paid
1604|juno|south|rotor|97|shipped
1727|juno|north|cable|40|held
1673|birch|west|sensor|12|pending
1474|fulton|east|pump|59|held
1411|cobalt|west|rotor|81|pending
1555|harbor|south|pump|88|pending
1533|fulton|north|gasket|21|pending
1415|cobalt|east|sensor|83|paid
1506|harbor|north|pump|10|held
1667|ionic|west|cable|78|paid
1814|gale|north|frame|89|pending
1530|acme|south|gasket|41|held
1476|harbor|south|cable|92|paid
1434|gale|west|valve|60|held
1793|ionic|north|panel|49|pending
1672|fulton|south|frame|77|paid
1626|acme|north|valve|52|held
1468|ember|north|gasket|54|shipped
1817|dorian|south|rotor|82|pending
1485|dorian|south|gasket|54|shipped
1646|cobalt|east|rotor|12|pending
1735|fulton|south|rotor|61|paid
1750|ember|west|pump|11|paid
1541|cobalt|south|pump|20|pending
1720|juno|east|cable|73|held
1480|ember|south|frame|21|shipped
1680|juno|east|sensor|90|held
1761|ionic|east|pump|82|pending
1587|ember|east|sensor|48|paid
1713|birch|east|gasket|68|paid
1690|juno|south|rotor|31|paid
1492|harbor|south|valve|25|pending
1594|juno|east|panel|65|paid
1744|juno|north|valve|95|shipped
1496|ionic|north|panel|90|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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:

[
  {"tool": "restock", "args": {"item": "sensor", "qty": 81}},
  {"tool": "cancel_order", "args": {"order_id": 1407}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 84}},
  {"tool": "cancel_order", "args": {"order_id": 1646}}
]

correctagentic.tools.triage-v1conf 100% · 747ms · $0.001 · 441 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:
- payments → rivera
- data → okafor
- auth → dubois

INCIDENTS:
1. "refund double-charged" (category: payments, priority 5)
2. "records missing after import" (category: data, priority 5)
3. "records missing after import" (category: data, 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": "refund double-charged", "priority": 5}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]

correctagentic.tools.deploy-v1conf 100% · 1.9s · $0.001 · 497 tok

question

You are a release agent operating strictly through tool calls.

TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: (none)
- search: auth-svc
- gateway: reports
- reports: 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": "reports"}},
  {"tool": "health_check", "args": {"service": "reports"}},
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "deploy", "args": {"service": "gateway"}}
]

correctagentic.tools.context-load-v1conf 100% · 906ms · $0.004 · 2897 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 (247 records, format: id|customer|region|item|qty|status):
```
1610|juno|south|cable|15|pending
1588|dorian|east|frame|13|shipped
1763|ionic|west|valve|92|pending
1762|dorian|north|cable|19|held
1801|juno|west|gasket|83|held
1771|fulton|west|pump|46|paid
1585|fulton|east|pump|79|paid
1701|gale|west|sensor|60|paid
2066|fulton|north|frame|69|shipped
1310|gale|south|panel|12|pending
1493|juno|south|frame|40|paid
2221|harbor|south|valve|18|paid
1368|acme|south|valve|89|paid
1577|birch|south|valve|63|pending
2114|gale|west|cable|12|held
2172|gale|west|panel|24|paid
1849|acme|south|valve|30|held
1336|birch|east|rotor|74|shipped
1721|birch|west|pump|81|pending
1931|acme|east|valve|58|shipped
1815|juno|east|pump|74|paid
2196|dorian|west|gasket|30|paid
2044|acme|west|pump|11|pending
2133|ionic|north|panel|71|paid
1923|gale|south|cable|27|held
1950|fulton|west|valve|46|pending
2112|cobalt|west|pump|81|paid
2187|ionic|south|cable|51|shipped
1962|dorian|north|sensor|75|paid
1851|fulton|west|panel|55|pending
1458|gale|east|valve|85|pending
1829|fulton|south|cable|13|paid
1500|birch|west|panel|34|paid
2128|cobalt|east|pump|18|shipped
2264|fulton|south|frame|61|held
2051|harbor|west|pump|81|shipped
2161|harbor|north|sensor|17|shipped
1388|harbor|south|valve|52|pending
1976|ionic|north|valve|39|pending
1511|birch|west|valve|82|held
1599|dorian|west|sensor|25|held
2246|cobalt|north|rotor|65|pending
1405|fulton|north|sensor|24|held
1995|dorian|north|rotor|51|shipped
1624|acme|west|panel|54|pending
1455|acme|west|panel|15|pending
1874|gale|west|rotor|92|held
1675|harbor|west|pump|73|held
1975|gale|north|sensor|38|held
1364|ember|north|rotor|12|held
1808|acme|south|rotor|88|paid
1592|dorian|west|gasket|85|pending
2207|dorian|south|pump|97|paid
1534|juno|north|pump|49|paid
1862|gale|south|rotor|33|paid
2010|dorian|west|frame|76|pending
1302|gale|north|rotor|65|pending
1943|juno|south|pump|78|shipped
2073|juno|south|gasket|35|held
1820|ember|south|pump|55|shipped
2182|ionic|east|gasket|33|paid
1728|cobalt|north|frame|70|shipped
1920|birch|east|cable|95|held
2243|juno|east|rotor|18|shipped
2269|ionic|east|valve|21|paid
2144|ember|west|frame|50|shipped
1927|ionic|east|valve|97|paid
1545|fulton|west|frame|90|held
1893|ember|west|cable|83|paid
1312|gale|north|panel|64|pending
2092|gale|east|cable|44|pending
1526|cobalt|west|frame|68|held
1376|cobalt|east|gasket|86|shipped
1754|juno|south|pump|63|held
1835|birch|north|cable|36|pending
1321|gale|south|pump|54|shipped
1954|birch|south|valve|99|held
1939|juno|west|pump|63|pending
2075|juno|south|frame|79|held
1563|acme|west|rotor|12|pending
1649|cobalt|north|valve|80|shipped
2125|dorian|west|frame|71|pending
1697|birch|west|valve|41|held
1450|birch|east|sensor|75|shipped
2177|harbor|south|cable|85|pending
1604|harbor|west|valve|46|pending
2078|gale|south|panel|54|paid
1727|dorian|south|valve|79|held
1751|ember|south|sensor|78|held
1974|birch|south|pump|61|paid
2059|dorian|south|panel|92|paid
2086|harbor|south|panel|81|pending
1514|juno|west|panel|24|paid
1838|ember|north|valve|51|shipped
1475|harbor|south|frame|93|held
1685|ionic|west|valve|65|paid
2198|cobalt|south|frame|68|shipped
2271|ionic|east|pump|29|paid
1638|dorian|west|pump|90|paid
2039|juno|south|cable|40|pending
1643|ionic|north|frame|33|shipped
2216|ionic|west|rotor|57|paid
1659|ionic|east|sensor|44|shipped
1470|birch|south|rotor|19|held
1905|birch|west|valve|35|pending
1670|ember|north|frame|23|shipped
2233|cobalt|west|panel|78|pending
2262|birch|west|sensor|83|held
1334|ionic|north|cable|45|shipped
1353|ionic|west|valve|78|paid
1414|ionic|east|cable|75|pending
1843|cobalt|west|frame|88|shipped
1313|gale|south|frame|24|paid
2002|birch|east|pump|76|pending
1328|ember|north|pump|25|paid
1879|acme|north|valve|16|held
1766|dorian|south|pump|72|held
1557|harbor|south|pump|25|shipped
2274|gale|north|sensor|24|held
1776|ionic|north|gasket|84|shipped
1343|harbor|east|panel|72|shipped
1982|gale|north|rotor|80|paid
1480|birch|north|gasket|93|paid
1630|fulton|north|pump|81|held
1916|harbor|north|frame|93|paid
1798|harbor|south|panel|37|pending
1581|dorian|east|panel|97|shipped
1653|ember|east|pump|91|pending
1399|fulton|east|frame|51|paid
1393|dorian|east|pump|76|pending
1768|dorian|west|panel|71|paid
1994|fulton|east|frame|19|pending
1824|ember|west|frame|20|paid
2192|ember|north|rotor|81|held
1547|juno|west|panel|87|pending
2024|fulton|west|pump|73|shipped
1720|fulton|south|sensor|67|shipped
2257|ember|east|pump|29|held
1857|ember|east|valve|82|shipped
1443|gale|west|gasket|36|paid
1495|fulton|south|sensor|84|paid
1318|gale|south|frame|77|pending
1580|fulton|north|cable|28|pending
1575|fulton|west|panel|46|held
1374|gale|east|rotor|22|paid
1483|juno|south|frame|41|shipped
2197|ember|south|gasket|18|paid
2108|juno|south|gasket|46|paid
1886|gale|east|frame|33|shipped
2096|harbor|south|valve|85|held
1729|dorian|west|frame|46|pending
2079|acme|south|rotor|12|pending
1350|dorian|north|cable|28|pending
1494|ionic|south|cable|27|shipped
1532|juno|north|cable|25|pending
1451|dorian|east|pump|29|held
1690|dorian|east|valve|55|held
2036|ionic|west|pump|87|paid
1987|dorian|south|sensor|32|shipped
1429|ionic|south|gasket|19|paid
2249|cobalt|south|rotor|50|held
1298|gale|south|valve|40|pending
2023|acme|east|rotor|90|pending
1716|acme|south|cable|23|paid
1349|dorian|north|panel|21|shipped
2250|harbor|north|pump|32|shipped
1413|harbor|east|frame|66|held
2209|dorian|east|gasket|27|pending
1360|harbor|east|valve|25|shipped
1826|gale|south|valve|45|paid
1569|ember|east|sensor|87|shipped
1344|birch|east|pump|67|paid
1853|ionic|north|panel|54|pending
1898|harbor|north|sensor|18|held
1680|acme|west|panel|21|pending
1662|gale|east|frame|58|shipped
1667|juno|east|valve|87|shipped
1617|cobalt|west|valve|21|shipped
1307|gale|south|frame|36|shipped
1796|birch|south|sensor|16|pending
2228|fulton|west|cable|52|held
1521|cobalt|south|sensor|39|pending
1744|ember|east|valve|47|held
2031|fulton|west|frame|65|paid
1983|ember|south|pump|75|paid
1711|dorian|south|cable|37|held
1558|ember|north|sensor|24|pending
1967|juno|north|rotor|20|paid
2254|juno|east|gasket|13|shipped
1463|ember|east|gasket|73|shipped
2252|acme|east|rotor|73|paid
1398|gale|east|cable|76|shipped
1800|gale|south|panel|78|held
1960|dorian|north|rotor|32|shipped
1553|ionic|south|frame|94|shipped
2138|fulton|west|panel|25|shipped
1539|harbor|south|cable|83|shipped
1436|ionic|north|rotor|62|pending
1783|cobalt|north|gasket|18|pending
2052|ionic|south|frame|76|held
1957|fulton|east|gasket|44|shipped
2159|ember|south|gasket|16|pending
2205|ionic|west|pump|60|pending
1705|gale|east|rotor|14|paid
1902|ember|south|valve|69|paid
1922|juno|east|pump|23|paid
1505|gale|south|frame|77|paid
1382|dorian|south|gasket|33|shipped
1370|dorian|south|gasket|53|pending
1529|juno|north|sensor|39|pending
1319|gale|north|frame|65|pending
1554|ember|west|rotor|14|shipped
2239|acme|west|frame|26|pending
1755|ionic|north|panel|41|shipped
2121|cobalt|north|pump|72|held
1944|cobalt|north|valve|37|pending
1867|ionic|east|panel|25|pending
1964|ionic|west|rotor|88|paid
1636|fulton|south|gasket|35|pending
1568|gale|north|frame|57|shipped
1609|acme|east|pump|36|held
1947|ionic|north|pump|17|paid
2152|fulton|west|panel|36|held
1911|gale|east|panel|58|shipped
1736|birch|east|rotor|92|pending
2146|acme|west|cable|43|shipped
2169|harbor|east|panel|14|shipped
2009|acme|east|frame|52|held
2101|birch|east|panel|50|pending
1937|gale|east|frame|24|held
1559|dorian|west|frame|98|paid
2077|dorian|east|gasket|77|held
1980|ionic|south|rotor|42|pending
1627|ionic|west|cable|58|paid
1740|birch|east|pump|30|held
2217|harbor|south|pump|69|held
1489|ionic|north|frame|72|paid
2275|fulton|north|pump|80|held
1423|birch|west|pump|43|paid
2003|ember|north|gasket|79|held
1773|gale|south|sensor|29|held
1416|acme|south|panel|68|held
1332|harbor|north|rotor|18|pending
2017|acme|east|gasket|98|paid
2168|cobalt|north|sensor|53|shipped
1409|harbor|east|rotor|16|held
1790|dorian|south|cable|68|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "south" 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": 1298}},
  {"tool": "cancel_order", "args": {"order_id": 1310}},
  {"tool": "restock", "args": {"item": "frame", "qty": 77}}
]

correctagentic.tools.ledger-v1conf 100% · 577ms · $0.001 · 450 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: $518
- oscar: $479
- bravo: $757

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $294 from "bravo" to "lima"
2. pay $150 from "bravo" to "lima"
3. pay $556 from "lima" to "oscar"
4. pay $155 from "bravo" to "lima"

RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {
    "tool": "transfer",
    "args": {
      "from": "bravo",
      "to": "lima",
      "amount": 294
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "bravo",
      "to": "lima",
      "amount": 150
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "lima",
      "to": "oscar",
      "amount": 556
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "bravo",
      "to": "lima",
      "amount": 155
    }
  }
]

correctagentic.tools.context-load-v1conf 100% · 1.0s · $0.005 · 3924 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 (285 records, format: id|customer|region|item|qty|status):
```
2217|gale|south|valve|63|shipped
2500|juno|north|cable|34|paid
2487|cobalt|north|gasket|44|shipped
1781|acme|south|frame|50|paid
1812|fulton|south|gasket|98|held
2350|juno|north|sensor|42|paid
2450|dorian|north|valve|55|held
1431|harbor|south|panel|34|held
2481|cobalt|east|gasket|39|shipped
2401|harbor|east|valve|26|pending
2318|ionic|east|panel|39|pending
2272|cobalt|south|sensor|53|shipped
2526|fulton|east|rotor|32|held
1822|juno|east|cable|61|shipped
1481|birch|west|valve|11|paid
2218|acme|east|rotor|27|shipped
1579|harbor|south|cable|62|held
2041|dorian|north|frame|17|pending
1927|gale|east|rotor|64|paid
1685|gale|west|frame|81|paid
2499|dorian|west|frame|40|held
2029|fulton|south|rotor|84|paid
2387|ionic|east|cable|31|shipped
1953|juno|south|sensor|42|pending
1869|ionic|south|panel|36|pending
2412|birch|north|sensor|30|shipped
1405|harbor|north|gasket|20|pending
1607|fulton|south|pump|59|shipped
1633|cobalt|west|frame|70|held
1465|dorian|west|gasket|70|held
1731|dorian|north|cable|11|paid
2050|ember|north|frame|71|paid
1900|acme|west|pump|39|pending
2194|dorian|south|frame|20|paid
2018|birch|north|gasket|83|shipped
1784|gale|south|cable|45|pending
1913|fulton|west|rotor|43|paid
2039|harbor|west|cable|27|paid
2178|juno|south|valve|86|held
1803|cobalt|north|cable|61|pending
2044|juno|south|cable|41|paid
1573|dorian|north|sensor|34|held
1660|harbor|north|frame|78|pending
2273|gale|east|pump|42|held
2213|ionic|north|valve|45|held
1929|gale|west|cable|45|held
2430|gale|south|sensor|85|paid
2011|harbor|north|frame|43|held
2122|harbor|south|panel|21|pending
1972|fulton|west|panel|73|paid
2514|harbor|east|gasket|76|paid
1727|birch|east|cable|83|held
1623|cobalt|east|frame|79|paid
1838|ember|west|sensor|94|pending
2253|cobalt|east|sensor|67|pending
1719|juno|south|sensor|66|held
2073|ember|east|sensor|82|held
2434|gale|west|gasket|79|shipped
2261|cobalt|west|sensor|66|held
1825|fulton|east|rotor|21|held
2282|dorian|south|pump|26|pending
1969|birch|east|pump|82|shipped
1602|ionic|east|cable|70|paid
2054|fulton|west|frame|17|paid
2005|juno|east|sensor|99|paid
2096|juno|east|sensor|47|pending
1746|cobalt|north|gasket|95|shipped
1390|harbor|east|rotor|46|pending
1993|harbor|west|valve|44|pending
1398|harbor|south|gasket|35|pending
1996|ionic|east|sensor|50|held
1585|juno|west|frame|30|pending
1618|juno|north|sensor|46|held
2245|dorian|west|panel|33|paid
1755|juno|west|panel|76|held
1941|fulton|north|cable|49|pending
1703|acme|east|gasket|66|held
2305|acme|east|panel|38|shipped
1876|harbor|south|gasket|32|pending
2192|acme|west|gasket|16|paid
1648|birch|east|pump|67|shipped
1526|cobalt|east|valve|97|shipped
1757|harbor|west|pump|92|shipped
2327|dorian|north|rotor|56|pending
2258|juno|south|valve|17|shipped
1923|cobalt|east|pump|24|held
1421|harbor|south|cable|74|pending
2240|acme|east|frame|80|paid
2200|ionic|east|frame|97|shipped
1560|dorian|south|frame|99|pending
2084|ionic|south|rotor|12|shipped
2457|acme|south|gasket|18|shipped
1513|acme|north|rotor|28|held
1488|juno|south|pump|27|pending
2155|acme|west|valve|10|paid
2369|acme|south|sensor|75|pending
1503|birch|east|sensor|86|paid
2444|acme|south|sensor|62|held
2520|acme|east|panel|58|shipped
1951|cobalt|east|frame|64|held
1650|birch|east|frame|92|paid
1643|gale|east|gasket|49|pending
2301|juno|west|panel|81|held
2234|gale|east|gasket|42|held
2165|ember|north|cable|71|shipped
1989|gale|west|cable|93|paid
2456|harbor|west|frame|17|pending
1514|birch|east|pump|39|held
2402|ember|north|pump|93|shipped
1988|acme|west|gasket|89|shipped
1656|acme|north|frame|28|held
2491|fulton|west|sensor|54|held
1701|harbor|south|rotor|37|shipped
2338|juno|north|cable|53|held
2277|birch|east|panel|54|shipped
1732|ember|west|panel|41|paid
1981|dorian|west|panel|52|shipped
2173|fulton|east|frame|16|paid
2102|dorian|south|pump|87|shipped
2320|birch|west|valve|76|pending
2140|fulton|south|cable|68|shipped
1663|cobalt|south|cable|37|pending
2364|cobalt|south|valve|43|paid
1445|harbor|south|gasket|94|held
1844|birch|south|sensor|15|paid
2128|ionic|south|rotor|82|shipped
1790|cobalt|east|valve|55|paid
1773|ember|south|gasket|95|paid
1588|dorian|north|sensor|81|held
1867|ionic|east|panel|16|pending
2059|harbor|south|pump|74|paid
1698|dorian|west|pump|75|pending
1590|ember|south|cable|60|pending
2356|juno|east|panel|12|shipped
1612|acme|south|valve|20|held
1563|dorian|east|cable|82|paid
1394|harbor|south|panel|24|held
1691|ember|south|pump|95|held
1959|fulton|east|panel|33|pending
2307|fulton|south|valve|80|paid
1536|harbor|west|frame|20|paid
2124|acme|west|valve|50|shipped
1629|birch|west|sensor|53|shipped
2389|fulton|east|pump|18|held
1723|cobalt|west|rotor|39|shipped
1672|birch|north|sensor|49|held
2068|dorian|east|rotor|31|pending
2417|ember|north|valve|79|held
1521|ionic|south|frame|25|shipped
2206|fulton|west|pump|86|pending
1549|cobalt|east|pump|13|held
2035|fulton|north|sensor|41|held
1475|acme|south|gasket|96|pending
2410|harbor|north|frame|37|pending
1979|harbor|south|valve|74|paid
1815|fulton|east|gasket|15|held
1414|harbor|east|gasket|41|pending
1638|juno|north|rotor|13|paid
1542|dorian|south|cable|17|shipped
1425|harbor|west|cable|54|pending
2246|acme|east|valve|24|held
2225|juno|west|valve|43|pending
1774|harbor|west|cable|43|held
2023|cobalt|north|frame|53|shipped
2291|birch|south|gasket|68|paid
2447|juno|north|rotor|46|shipped
1973|dorian|east|rotor|29|paid
1725|gale|east|valve|42|held
2228|dorian|north|pump|17|paid
1486|birch|south|gasket|42|paid
1851|ember|south|rotor|81|pending
1692|birch|south|sensor|21|paid
1502|dorian|west|valve|90|paid
1880|gale|north|valve|16|shipped
2056|fulton|west|sensor|90|pending
2399|birch|west|panel|86|held
2151|acme|west|valve|64|paid
1448|birch|west|panel|24|paid
1895|acme|east|rotor|73|shipped
1832|harbor|west|panel|26|pending
2107|ember|west|gasket|96|held
2119|gale|north|gasket|49|paid
1468|ionic|west|sensor|42|pending
1706|ionic|east|valve|10|held
1850|birch|west|sensor|88|shipped
1589|cobalt|south|frame|86|pending
2509|dorian|west|panel|18|paid
1689|gale|west|sensor|69|held
1963|dorian|south|rotor|19|shipped
1570|cobalt|east|valve|94|paid
2468|acme|north|pump|69|paid
2185|ionic|south|gasket|53|shipped
2293|ember|south|valve|54|held
1751|birch|east|rotor|53|held
1506|gale|north|rotor|81|shipped
1595|cobalt|west|frame|13|shipped
1532|cobalt|south|sensor|46|held
1678|birch|south|valve|65|held
2133|dorian|north|frame|17|pending
2439|gale|south|valve|54|held
1987|ember|north|cable|83|shipped
1667|dorian|north|cable|66|paid
2299|ember|east|valve|75|pending
1562|gale|west|pump|40|pending
1886|juno|south|pump|53|held
2117|gale|west|pump|35|pending
2177|gale|east|cable|70|shipped
2374|ember|west|sensor|36|paid
2146|birch|north|pump|38|shipped
1920|birch|west|rotor|92|shipped
1550|birch|north|cable|93|paid
1740|ionic|south|gasket|20|paid
1470|gale|west|gasket|86|paid
2002|dorian|west|gasket|79|paid
1858|birch|south|sensor|26|held
2521|dorian|east|frame|11|paid
2091|fulton|east|frame|47|shipped
2366|fulton|west|frame|60|pending
2281|harbor|west|sensor|30|held
1458|ionic|south|rotor|75|held
1410|harbor|south|pump|76|held
2504|ember|north|rotor|52|paid
2067|birch|west|frame|90|shipped
2311|fulton|west|frame|71|paid
2052|acme|north|valve|73|shipped
1686|fulton|west|pump|21|shipped
1544|dorian|east|gasket|32|held
1874|gale|south|rotor|24|held
1495|juno|south|gasket|19|held
2353|harbor|west|cable|50|shipped
1767|ember|east|frame|99|paid
2377|dorian|west|sensor|70|pending
1441|harbor|east|gasket|42|paid
1642|juno|east|pump|31|paid
2210|cobalt|west|cable|15|shipped
2396|ember|east|rotor|20|pending
2381|acme|west|rotor|76|paid
2078|birch|south|sensor|56|paid
2472|dorian|west|pump|56|paid
1571|acme|west|gasket|97|shipped
1510|gale|south|frame|72|shipped
2403|ionic|east|cable|26|paid
1438|harbor|east|panel|22|held
1907|harbor|west|panel|13|pending
1484|gale|north|pump|55|shipped
1945|ember|east|pump|25|pending
2266|cobalt|east|rotor|65|shipped
1411|harbor|south|pump|53|pending
1541|fulton|east|gasket|94|pending
2168|ember|east|cable|94|held
1891|harbor|west|valve|77|paid
2334|birch|south|sensor|21|shipped
1786|cobalt|south|rotor|47|held
1384|harbor|south|pump|58|pending
1419|harbor|south|panel|56|paid
1764|harbor|south|frame|66|paid
1713|acme|north|panel|93|pending
2357|birch|south|panel|81|shipped
2461|birch|east|frame|84|paid
2239|birch|north|rotor|14|shipped
2287|juno|north|gasket|62|pending
2498|cobalt|west|valve|10|shipped
1736|birch|north|cable|62|paid
2193|dorian|north|sensor|77|shipped
1936|ionic|north|sensor|67|shipped
1540|birch|north|frame|85|shipped
2236|gale|north|gasket|60|shipped
1861|ember|south|valve|49|paid
2414|ember|south|rotor|70|pending
1454|birch|east|cable|61|shipped
1797|fulton|east|frame|10|paid
2267|ionic|east|cable|77|held
2114|fulton|north|valve|91|shipped
1885|dorian|west|valve|18|paid
1556|cobalt|south|frame|64|pending
2343|cobalt|south|valve|23|held
2478|gale|south|rotor|66|held
2423|birch|east|sensor|38|shipped
1530|juno|north|sensor|74|pending
2160|acme|east|panel|88|pending
2063|fulton|west|cable|54|pending
1684|ionic|west|sensor|26|paid
1808|cobalt|west|rotor|37|pending
1788|birch|east|rotor|32|shipped
2325|fulton|north|valve|83|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" 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:

[
  {"tool": "restock", "args": {"item": "pump", "qty": 58}},
  {"tool": "cancel_order", "args": {"order_id": 1398}},
  {"tool": "restock", "args": {"item": "pump", "qty": 53}},
  {"tool": "restock", "args": {"item": "cable", "qty": 74}},
  {"tool": "cancel_order", "args": {"order_id": 1876}},
  {"tool": "cancel_order", "args": {"order_id": 2122}}
]

correctagentic.tools.triage-v1conf 100% · 3.1s · $0.001 · 748 tok

question

You operate a support desk strictly through tool calls.

TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- auth → tanaka
- infra → silva
- data → haddad

INCIDENTS:
1. "cannot reset password" (category: auth, priority 9)
2. "cannot reset password" (category: auth, priority 9)
3. "export file corrupted" (category: data, priority 3)
4. "locked out after 2FA change" (category: auth, priority 9)

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "cannot reset password",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-1"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "cannot reset password",
      "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": "haddad"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-4"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-4",
      "agent": "tanaka"
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 769ms · $0.001 · 647 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, billing
- billing: (none)
- gateway: auth-svc, billing
- auth-svc: billing

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

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

correctagentic.tools.ledger-v1conf 100% · 556ms · $0.001 · 899 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:
- echo: $297
- tango: $477
- kilo: $220

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $509 from "tango" to "kilo"
2. pay $225 from "tango" to "kilo"
3. pay $307 from "echo" to "kilo"
4. pay $112 from "kilo" to "tango"
5. pay $539 from "kilo" to "tango"

RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {
    "tool": "top_up_from_reserve",
    "args": {
      "account": "tango",
      "amount": 32
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "tango",
      "to": "kilo",
      "amount": 509
    }
  },
  {
    "tool": "top_up_from_reserve",
    "args": {
      "account": "tango",
      "amount": 225
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "tango",
      "to": "kilo",
      "amount": 225
    }
  },
  {
    "tool": "top_up_from_reserve",
    "args": {
      "account": "echo",
      "amount": 10
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "echo",
      "to": "kilo",
      "amount": 307
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "kilo",
      "to": "tango",
      "amount": 112
    }
  },
  {
    "tool": "transfer",
    "args": {
      "from": "kilo",
      "to": "tango",
      "amount": 539
    }
  }
]

correctagentic.tools.triage-v1conf 100% · 1.3s · $0.001 · 420 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 → dubois
- payments → haddad
- auth → rivera

INCIDENTS:
1. "API latency spikes" (category: infra, priority 5)
2. "API latency spikes" (category: infra, priority 5)
3. "locked out after 2FA change" (category: auth, 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": "API latency spikes", "priority": 5}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 5}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
  {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}
]

correctagentic.tools.deploy-v1conf 100% · 1.4s · $0.001 · 680 tok

question

You are a release agent operating strictly through tool calls.

TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: reports, search
- gateway: search
- reports: gateway
- search: (none)

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

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

correctagentic.tools.context-load-v1conf 100% · 702ms · $0.004 · 2844 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 (199 records, format: id|customer|region|item|qty|status):
```
1908|harbor|north|valve|72|shipped
1866|gale|south|valve|72|shipped
1730|birch|south|pump|50|paid
2317|acme|south|rotor|11|pending
2105|fulton|east|valve|17|shipped
2027|dorian|south|pump|75|paid
1810|acme|north|pump|10|paid
1951|acme|east|frame|18|paid
2263|fulton|south|gasket|48|paid
1582|cobalt|east|cable|69|held
1511|ember|east|panel|70|held
1878|juno|west|panel|86|pending
2250|ionic|north|panel|65|held
2040|gale|north|sensor|25|paid
1700|harbor|south|cable|64|shipped
1963|gale|east|rotor|68|shipped
1544|ionic|west|panel|83|pending
2153|ionic|south|cable|46|paid
1518|ember|south|pump|12|pending
2210|ionic|south|gasket|41|held
2145|fulton|north|gasket|13|pending
2063|acme|west|gasket|36|paid
2275|gale|east|cable|27|shipped
1530|acme|east|frame|14|paid
2087|cobalt|north|gasket|10|pending
1892|acme|east|gasket|18|pending
1877|cobalt|north|cable|59|paid
2203|juno|east|sensor|77|paid
1494|ember|north|panel|87|pending
2196|ember|west|pump|76|pending
1707|ionic|north|cable|57|shipped
1662|acme|east|frame|10|shipped
1797|acme|west|valve|85|shipped
1590|acme|west|frame|70|shipped
1906|birch|east|gasket|69|shipped
2277|dorian|north|frame|42|pending
1956|ember|north|cable|41|shipped
1624|acme|north|valve|92|pending
2288|dorian|south|sensor|46|shipped
1930|cobalt|east|rotor|94|pending
1512|ember|east|gasket|16|pending
1646|cobalt|south|pump|74|pending
2065|ionic|south|panel|31|shipped
1546|acme|east|sensor|51|pending
2110|cobalt|south|valve|13|paid
1594|birch|west|sensor|31|shipped
2146|fulton|east|valve|68|shipped
1804|cobalt|north|pump|71|held
1548|ionic|south|sensor|75|shipped
2233|juno|east|cable|90|shipped
1555|birch|south|gasket|51|held
1837|fulton|north|pump|58|shipped
1488|ember|east|rotor|99|pending
1792|birch|east|rotor|91|held
1531|gale|south|rotor|41|held
1562|juno|north|sensor|40|pending
1497|ember|east|rotor|73|held
2180|ember|north|panel|44|held
1896|cobalt|south|pump|50|shipped
1932|ember|south|frame|65|shipped
1936|gale|south|panel|44|pending
2122|fulton|south|frame|36|shipped
1975|cobalt|south|rotor|18|pending
2216|harbor|south|gasket|41|shipped
1943|juno|north|pump|59|pending
1996|juno|west|pump|50|paid
1747|cobalt|west|valve|16|shipped
2115|harbor|south|valve|28|paid
2266|ember|west|sensor|80|held
2177|birch|north|gasket|80|paid
1902|ionic|west|rotor|74|shipped
1713|cobalt|north|sensor|94|pending
1507|ember|south|frame|86|pending
1818|gale|east|sensor|11|pending
2299|ionic|east|gasket|85|paid
1824|cobalt|west|frame|87|shipped
2260|harbor|west|panel|88|paid
1841|birch|south|rotor|57|held
1811|acme|east|panel|49|pending
2303|ember|south|panel|64|paid
1888|dorian|west|valve|54|shipped
1520|ember|east|pump|83|held
1570|juno|west|cable|80|pending
1851|ember|east|cable|54|held
2292|birch|south|sensor|14|held
1969|juno|south|cable|63|held
2268|acme|east|gasket|83|pending
1777|juno|north|cable|28|paid
2017|ember|north|rotor|26|held
1676|dorian|west|frame|90|pending
2010|ionic|west|sensor|81|shipped
1754|juno|west|pump|71|held
2054|fulton|north|frame|85|shipped
2281|ionic|west|valve|78|paid
2033|juno|south|sensor|48|paid
1904|fulton|north|rotor|15|shipped
2047|ionic|east|gasket|58|pending
1756|birch|north|sensor|23|shipped
1643|dorian|west|pump|80|pending
2309|ember|west|panel|94|paid
1982|fulton|south|gasket|55|paid
2221|juno|east|cable|48|paid
1720|harbor|south|valve|46|shipped
2074|cobalt|east|rotor|28|shipped
1651|dorian|east|rotor|44|paid
1523|ionic|north|cable|72|held
1567|fulton|east|frame|49|held
1940|dorian|west|sensor|99|pending
2239|birch|west|panel|11|paid
1843|ember|west|valve|69|shipped
1861|ember|south|sensor|41|pending
2248|fulton|north|gasket|97|paid
1782|acme|north|cable|84|held
1931|fulton|west|gasket|50|paid
1547|dorian|north|rotor|45|shipped
1682|dorian|south|valve|54|shipped
1610|harbor|west|gasket|67|held
1741|birch|south|frame|83|shipped
1687|dorian|north|pump|98|paid
1596|gale|west|rotor|29|held
2121|harbor|west|cable|65|held
2155|cobalt|south|gasket|26|shipped
2202|birch|north|valve|39|held
2128|dorian|north|valve|67|paid
2039|acme|north|sensor|29|paid
2212|gale|east|pump|24|paid
1808|cobalt|east|valve|99|shipped
1693|ember|west|panel|10|held
1540|ionic|east|cable|74|shipped
1962|dorian|east|sensor|15|shipped
2256|ionic|south|sensor|55|held
2186|gale|west|rotor|86|shipped
1989|acme|west|frame|54|shipped
1970|acme|south|cable|37|held
1772|birch|east|cable|83|held
1945|ionic|south|pump|70|pending
1916|ember|west|gasket|86|paid
2262|harbor|east|cable|82|held
1791|harbor|east|frame|99|paid
2161|fulton|east|panel|83|held
2191|ember|south|cable|66|pending
2059|ember|south|panel|66|shipped
1913|juno|west|rotor|45|pending
2023|fulton|south|pump|72|held
1501|ember|east|gasket|31|pending
1724|juno|east|pump|96|paid
2323|fulton|west|gasket|31|held
1655|dorian|east|cable|48|pending
1759|acme|south|gasket|41|pending
2093|cobalt|south|pump|16|held
2313|birch|north|gasket|82|held
1534|ember|east|frame|23|held
1734|birch|south|sensor|74|pending
2244|harbor|north|gasket|50|pending
2081|acme|north|frame|37|held
2270|cobalt|south|rotor|97|held
1830|juno|east|panel|69|shipped
2166|juno|west|gasket|60|held
1793|ionic|south|panel|93|shipped
2141|juno|south|frame|61|pending
1883|ember|west|gasket|64|held
2170|harbor|south|cable|15|pending
1630|birch|north|frame|76|shipped
2294|fulton|west|frame|31|held
2135|ionic|north|valve|47|held
1669|ember|west|valve|64|shipped
1923|juno|north|valve|71|pending
1855|ionic|north|pump|46|pending
1701|harbor|west|frame|50|pending
2006|gale|north|frame|32|pending
2172|fulton|south|pump|66|shipped
2022|acme|west|cable|23|pending
2000|juno|south|valve|67|paid
1650|cobalt|south|cable|93|shipped
2084|juno|east|cable|36|pending
1603|fulton|north|frame|25|pending
2030|acme|west|cable|89|shipped
1549|cobalt|west|gasket|20|paid
2127|cobalt|east|panel|81|pending
1617|fulton|south|gasket|64|paid
1873|ionic|north|cable|56|held
1849|dorian|west|valve|45|shipped
1897|ember|west|sensor|74|pending
2116|acme|south|cable|20|shipped
1559|cobalt|east|gasket|86|held
2311|birch|east|rotor|53|held
1766|ember|east|frame|99|paid
1663|ember|north|cable|22|shipped
1637|acme|west|rotor|32|shipped
2067|birch|south|cable|59|shipped
2228|birch|north|valve|14|held
1576|cobalt|south|frame|30|shipped
1539|fulton|south|panel|36|shipped
2098|harbor|west|cable|33|paid
1815|fulton|south|rotor|65|pending
1584|ionic|west|cable|88|shipped
1947|harbor|west|cable|14|held
1736|dorian|north|panel|84|shipped
1789|ember|north|valve|32|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "restock", "args": {"item": "rotor", "qty": 99}},
  {"tool": "cancel_order", "args": {"order_id": 1501}},
  {"tool": "cancel_order", "args": {"order_id": 1512}}
]

correctagentic.tools.ledger-v1conf 100% · 550ms · $0.001 · 626 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: $314
- bravo: $857
- echo: $831

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $152 from "bravo" to "echo"
2. pay $190 from "bravo" to "echo"
3. pay $491 from "bravo" to "echo"
4. pay $438 from "echo" to "bravo"
5. pay $358 from "kilo" 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": "echo", "amount": 152}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 190}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 491}},
  {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 438}},
  {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 44}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 358}}
]

correctagentic.tools.triage-v1conf 100% · 1.4s · $0.001 · 703 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 → silva
- data → haddad
- infra → rivera

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 9)
2. "SSO loop on login" (category: auth, priority 9)
3. "webhooks not delivered" (category: infra, 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": "SSO loop on login",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-1"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "silva"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "SSO loop on login",
      "priority": 9
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "webhooks not delivered",
      "priority": 5
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "rivera"
    }
  }
]

correctagentic.tools.context-load-v1anchorconf 100% · 1.3s · $0.004 · 2899 tok

model answer:

[
  {"tool": "restock", "args": {"item": "gasket", "qty": 60}},
  {"tool": "cancel_order", "args": {"order_id": 1368}},
  {"tool": "cancel_order", "args": {"order_id": 1384}},
  {"tool": "restock", "args": {"item": "frame", "qty": 58}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 75}},
  {"tool": "cancel_order", "args": {"order_id": 1682}}
]

correctagentic.tools.deploy-v1conf 100% · 2.0s · $0.000 · 403 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: search
- search: (none)
- auth-svc: billing, 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 "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": "search"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "health_check", "args": {"service": "reports"}}
]

correctagentic.tools.ledger-v1conf 100% · 595ms · $0.001 · 738 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: $217
- oscar: $853
- bravo: $698

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $397 from "bravo" to "oscar"
2. pay $263 from "alpha" to "bravo"
3. pay $227 from "alpha" to "bravo"
4. pay $530 from "bravo" to "oscar"
5. pay $94 from "alpha" 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": 397}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 46}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 263}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 227}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 227}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 530}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 94}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 94}}
]

correctagentic.tools.triage-v1conf 100% · 563ms · $0.001 · 688 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 → rivera
- payments → novak
- infra → tanaka

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 8)
2. "invoice total wrong" (category: payments, priority 9)
3. "locked out after 2FA change" (category: auth, priority 8)

Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 8
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-1"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "rivera"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "invoice total wrong",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-2"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-2",
      "agent": "novak"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 8
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-3",
      "resolution": "duplicate of TCK-1"
    }
  }
]

correctagentic.tools.deploy-v1anchorconf 100% · 567ms · $0.001 · 522 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.ledger-v1anchorconf 100% · 534ms · $0.001 · 854 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}}
]

correctagentic.tools.triage-v1anchorconf 100% · 824ms · $0.001 · 803 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"
    }
  }
]

code 28/30 correct

wrongcode.trace.nested-v1conf 100% · 594ms · $0.001 · 581 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 229

correctcode.trace.js-v1conf 100% · 786ms · $0.000 · 141 tok

question

What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 60

correctcode.trace.python-v1conf 100% · 1.5s · $0.000 · 220 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 34:
    if v % 5 != 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: 0

correctcode.trace.nested-v1conf 100% · 582ms · $0.001 · 566 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 == 4 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 177

correctcode.trace.js-v1conf 100% · 597ms · $0.000 · 232 tok

question

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

```js
const arr = [10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 455

correctcode.trace.python-v1conf 100% · 805ms · $0.000 · 334 tok

question

What does this Python program print?

```python
total = 0
v = 11
while total + v <= 117:
    if v % 3 != 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: 108

correctcode.trace.nested-v1conf 100% · 830ms · $0.001 · 551 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 227

correctcode.trace.js-v1conf 100% · 789ms · $0.000 · 307 tok

question

What does this JavaScript program log?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
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: 210

correctcode.trace.python-v1conf 100% · 561ms · $0.000 · 384 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 1
while total + v <= 84:
    if v % 3 != 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: 61

correctcode.trace.nested-v1conf 100% · 1.2s · $0.001 · 683 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 == 4 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: 161

correctcode.trace.js-v1conf 100% · 782ms · $0.000 · 174 tok

question

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

```js
const arr = [7, 8, 9, 10, 11, 12];
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: 150

correctcode.trace.python-v1conf 100% · 775ms · $0.000 · 406 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 105:
    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: 90

correctcode.trace.js-v1conf 100% · 663ms · $0.000 · 155 tok

question

What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16];
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: 196

correctcode.trace.nested-v1conf 100% · 890ms · $0.000 · 453 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) % 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: 187

correctcode.trace.python-v1conf 100% · 1.2s · $0.000 · 406 tok

question

What does this Python program print?

```python
total = 0
v = 3
while total + v <= 82:
    if v % 6 != 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: 78

correctcode.trace.js-v1conf 100% · 2.0s · $0.000 · 197 tok

question

What does this JavaScript program log?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 90

wrongcode.trace.nested-v1conf 100% · 538ms · $0.001 · 496 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 == 5 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: 196

correctcode.trace.nested-v1conf 100% · 1.3s · $0.001 · 699 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) % 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: 220

correctcode.trace.python-v1conf 100% · 924ms · $0.000 · 280 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 9
while total + v <= 38:
    if v % 7 != 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: 28

correctcode.trace.js-v1conf 100% · 567ms · $0.000 · 135 tok

question

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

```js
const arr = [3, 4, 5, 6, 7, 8];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 45

correctcode.trace.python-v1conf 100% · 2.0s · $0.000 · 196 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 39:
    if v % 3 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 36

correctcode.trace.nested-v1conf 100% · 856ms · $0.001 · 500 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, 5):
        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: 229

correctcode.trace.js-v1conf 100% · 845ms · $0.000 · 124 tok

question

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

```js
const arr = [8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 90

correctcode.trace.nested-v1conf 100% · 1.0s · $0.001 · 616 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 312

correctcode.trace.python-v1conf 100% · 818ms · $0.000 · 290 tok

question

What does this Python program print?

```python
total = 0
v = 14
while total + v <= 36:
    if v % 6 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 30

correctcode.trace.js-v1conf 100% · 578ms · $0.000 · 152 tok

question

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

```js
const arr = [6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 6)
  .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: 216

correctcode.trace.python-v1anchorconf 100% · 742ms · $0.000 · 357 tok

model answer: 0

correctcode.trace.js-v1anchorconf 100% · 578ms · $0.000 · 336 tok

model answer: 63

correctcode.trace.nested-v1anchorconf 100% · 540ms · $0.001 · 489 tok

model answer: 283

correctcode.trace.python-v1anchorconf 100% · 1.1s · $0.000 · 324 tok

model answer: 40

instruction following 29/30 correct

correctif.constraints.stack-v1conf 98% · 532ms · $0.003 · 2689 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "zephyr" and the last word must be "echo".
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: zephyr wakes the old loom, ember oiling brass gears, ember fading, until silence kept its rusted dim final echo

correctif.format.acronym-v1conf 100% · 515ms · $0.000 · 117 tok

question

Take the first letter of each of these words, in order: ember, quartz, zephyr, cedar, falcon. 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: EQZCF

correctif.format.repeat-v1conf 100% · 541ms · $0.000 · 141 tok

question

Write the word "drift" in uppercase form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT

correctif.constraints.stack-v1conf 100% · 568ms · $0.002 · 1598 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "prism" and the last word must be "tundra".
3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

prism streets gleam under rain as taxis hum, lanterns drift, banners drift, voices drift, and moonlit towers fade through silent avenues toward tundra

wrongif.constraints.stack-v1conf 100% · 1.4s · $0.001 · 638 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "echo" and the last word must be "basalt".
3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: echo engine coughs, drift through brass, drift under rusted gears, drift near the old loom, patient as moonlit basalt

correctif.format.acronym-v1conf 100% · 539ms · $0.000 · 98 tok

question

Take the second letter of each of these words, in order: tundra, echo, cedar, falcon. 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: UCEA

correctif.format.repeat-v1conf 100% · 2.2s · $0.000 · 109 tok

question

Write the word "delta" 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: delta-delta-delta-delta-delta-delta

correctif.constraints.stack-v1conf 100% · 2.0s · $0.003 · 2975 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "lumen" and the last word must be "basalt".
3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: lumen ships orbit orbit orbit through endless miles, past ash dunes, toward ancient wild basalt

correctif.format.acronym-v1conf 100% · 539ms · $0.000 · 84 tok

question

Take the first letter of each of these words, in order: basalt, nova, prism, lumen. 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: BNPL

correctif.format.repeat-v1conf 100% · 556ms · $0.000 · 171 tok

question

Write the word "cedar" in capitalized 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: Cedar_Cedar_Cedar_Cedar_Cedar

correctif.constraints.stack-v1conf 100% · 1.3s · $0.001 · 1397 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "ember" and the last word must be "falcon".
3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

ember drift over ash, drift beneath stars, drift toward dawn, miles of rain and silence carried the lone traveler beyond the falcon

correctif.format.acronym-v1conf 100% · 1.2s · $0.000 · 86 tok

question

Take the first letter of each of these words, in order: nova, orbit, falcon, 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: NOFC

correctif.format.repeat-v1conf 100% · 1.4s · $0.000 · 121 tok

question

Write the word "flint" in uppercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: FLINT_FLINT_FLINT_FLINT_FLINT_FLINT

correctif.constraints.stack-v1conf 100% · 534ms · $0.003 · 2771 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "delta" and the last word must be "flint".
3. Use the word "prism" 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:

delta paths crossed prism deserts, prism winds carried our caravan past salt flats, under cold stars, toward distant ancient flint

correctif.format.acronym-v1conf 100% · 1.3s · $0.000 · 92 tok

question

Take the first letter of each of these words, in order: drift, falcon, comet, orbit, quartz, 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: DFCOQD

correctif.constraints.stack-v1conf 100% · 1.2s · $0.001 · 661 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "echo" and the last word must be "falcon".
3. Use the word "zephyr" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "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:

echo looms, rusted gears hum as zephyr slips through brass ribs; zephyr warms its lamp, zephyr carries steam past the sleeping shed toward falcon

correctif.format.repeat-v1conf 100% · 551ms · $0.000 · 170 tok

question

Write the word "ember" in uppercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: EMBER-EMBER-EMBER-EMBER-EMBER-EMBER-EMBER-EMBER

correctif.format.acronym-v1conf 100% · 549ms · $0.000 · 163 tok

question

Take the third letter of each of these words, in order: prism, quartz, tundra, falcon, drift, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: IANLIM

correctif.constraints.stack-v1conf 100% · 732ms · $0.003 · 3094 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "delta" and the last word must be "falcon".
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: delta wanderers crossed nova stars, past nova deserts, through dawn, toward a patient old lonely faraway falcon

correctif.format.repeat-v1conf 100% · 1.2s · $0.000 · 114 tok

question

Write the word "flint" 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: FLINT-FLINT-FLINT

correctif.format.acronym-v1conf 100% · 585ms · $0.000 · 132 tok

question

Take the second letter of each of these words, in order: quartz, nova, ember, falcon. 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: UOMA

correctif.format.repeat-v1conf 100% · 734ms · $0.000 · 141 tok

question

Write the word "echo" in capitalized form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ECHO/ECHO/ECHO/ECHO/ECHO/ECHO/ECHO

correctif.constraints.stack-v1conf 100% · 518ms · $0.002 · 1749 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "basalt" and the last word must be "tundra".
3. Use the word "zephyr" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: basalt zephyr rolls over sea foam, zephyr carries gulls, zephyr cools moonlit surf near tundra

correctif.format.acronym-v1conf 100% · 778ms · $0.000 · 115 tok

question

Take the third letter of each of these words, in order: comet, nova, quartz, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: MVAN

correctif.format.repeat-v1conf 100% · 725ms · $0.000 · 109 tok

question

Write the word "lumen" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: lumen-lumen-lumen-lumen-lumen-lumen-lumen-lumen

correctif.constraints.stack-v1anchorconf 100% · 747ms · $0.001 · 836 tok

model answer:

drift through rainlit avenues, lumen on wet glass, lumen in taxi signs, lumen over silent roofs, while sirens fade and stars bend into orbit

correctif.format.repeat-v1anchorconf 95% · 565ms · $0.001 · 552 tok

model answer: Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echo

correctif.format.acronym-v1conf 100% · 582ms · $0.000 · 74 tok

question

Take the second letter of each of these words, in order: basalt, orbit, quartz, 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: ARUR

correctif.format.repeat-v1anchorconf 100% · 1.3s · $0.000 · 151 tok

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

correctif.format.acronym-v1anchorconf 100% · 595ms · $0.000 · 87 tok

model answer: ZDFQ

knowledge 30/30 correct

correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 66 tok

question

Identify 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: Astana

correctknowledge.fr.factbank-v2conf 100% · 1.7s · $0.000 · 73 tok

question

Identify 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: Ottawa

correctknowledge.fr.factbank-v2conf 100% · 878ms · $0.000 · 79 tok

question

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

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 535ms · $0.000 · 129 tok

question

What is 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 Márquez

correctknowledge.fr.factbank-v2conf 100% · 576ms · $0.000 · 17 tok

question

Name the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 748ms · $0.000 · 85 tok

question

Identify the element whose symbol is W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: tungsten

correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 88 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 Achebe

correctknowledge.fr.factbank-v2conf 100% · 579ms · $0.000 · 21 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: Potassium

correctknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 68 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 Achebe

correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 87 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 Márquez

correctknowledge.fr.factbank-v2conf 100% · 558ms · $0.000 · 83 tok

question

What is 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 Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 525ms · $0.000 · 71 tok

question

What is 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: Brasília

correctknowledge.fr.factbank-v2conf 100% · 527ms · $0.000 · 121 tok

question

Identify 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 Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 766ms · $0.000 · 100 tok

question

What is 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 Achebe

correctknowledge.fr.factbank-v2conf 100% · 763ms · $0.000 · 99 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 Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 762ms · $0.000 · 17 tok

question

Identify the Canadian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ottawa

correctknowledge.fr.factbank-v2conf 100% · 530ms · $0.000 · 147 tok

question

Name the capital of Myanmar.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 584ms · $0.000 · 71 tok

question

Name the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 570ms · $0.000 · 90 tok

question

What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mercury

correctknowledge.fr.factbank-v2conf 100% · 541ms · $0.000 · 59 tok

question

Identify the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mercury

correctknowledge.fr.factbank-v2conf 100% · 1.7s · $0.000 · 17 tok

question

What is the Australian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 544ms · $0.000 · 72 tok

question

Identify the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 772ms · $0.000 · 19 tok

question

Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 825ms · $0.000 · 22 tok

question

Name the writer of the novel "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Yasunari Kawabata

correctknowledge.fr.factbank-v2conf 100% · 808ms · $0.000 · 69 tok

question

What is the element whose symbol is Sb?

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: Antimony

correctknowledge.fr.factbank-v2conf 100% · 775ms · $0.000 · 63 tok

question

Identify the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Tin

correctknowledge.fr.factbank-v2anchorconf 100% · 1.1s · $0.000 · 67 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 658ms · $0.000 · 78 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 1.2s · $0.000 · 75 tok

model answer: Antimony

correctknowledge.fr.factbank-v2anchorconf 100% · 1.3s · $0.000 · 17 tok

model answer: Lead

math 30/30 correct

correctmath.chained.pipeline-v1conf 100% · 814ms · $0.000 · 155 tok

question

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

Step 1: P = 66 × 87.
Step 2: Q = P × 8 − 225.
Step 3: divide Q by 5: 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: 9143

correctmath.counterfactual.base-v1conf 100% · 528ms · $0.001 · 502 tok

question

Work strictly in base 11. Multiply the base-11 numbers 23 and 17. 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: 37A

correctmath.percent.chain-v2conf 100% · 799ms · $0.000 · 325 tok

question

An inventory starts at 34000 units. The delivery van has a 15-liter fuel tank. In the first month the inventory grows by 12%. The warehouse was painted 28 years ago. The next month it shrinks by 7%, and the month after it grows by 29%. 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: 45684.58

correctmath.algebra.system-v2conf 100% · 1.2s · $0.000 · 218 tok

question

Solve the system, then answer the derived question.

8x + 9y = -273
4x − 8y = 276

What is the value of 2x − 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: 72

correctmath.arith.chain-v2conf 100% · 768ms · $0.000 · 381 tok

question

Calculate the following. Show your reasoning, then answer.

(((88 × 46 − 630) × 3 + 8727) − 85 × 64) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 27082

correctmath.counterfactual.base-v1conf 100% · 556ms · $0.001 · 685 tok

question

Work strictly in base 9. Add the base-9 numbers 3831 and 1657. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 5588

correctmath.chained.pipeline-v1conf 100% · 530ms · $0.000 · 186 tok

question

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

Step 1: P = 87 × 49.
Step 2: Q = P × 3 − 398.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1555

correctmath.percent.chain-v2conf 100% · 551ms · $0.001 · 627 tok

question

An inventory starts at 82000 units. Each pallet weighs about 30 grams more when wet. In the first month the inventory grows by 38%. Each pallet weighs about 101 grams more when wet. The next month it shrinks by 21%, and the month after it grows by 37%. 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: 122473.07

correctmath.algebra.system-v2conf 100% · 535ms · $0.000 · 198 tok

question

Solve the system, then answer the derived question.

3x + 7y = 63
8x − 5y = -116

What is the value of 5x − 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: -71

correctmath.counterfactual.base-v1conf 100% · 762ms · $0.001 · 778 tok

question

Work strictly in base 8. Multiply the base-8 numbers 111 and 77. 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: 10767

correctmath.arith.chain-v2conf 100% · 760ms · $0.000 · 214 tok

question

Evaluate the expression below and give the result.

(((97 × 69 − 388) × 5 + 4951) − 58 × 76) × 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: 192408

correctmath.chained.pipeline-v1conf 100% · 663ms · $0.000 · 180 tok

question

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

Step 1: P = 85 × 40.
Step 2: Q = P × 5 − 989.
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: 5337

correctmath.percent.chain-v2conf 100% · 828ms · $0.000 · 246 tok

question

An inventory starts at 60000 units. A rival firm shipped 133 unrelated parcels the same week. In the first month the inventory grows by 15%. A rival firm shipped 131 unrelated parcels the same week. The next month it shrinks by 37%, and the month after it grows by 6%. 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: 46078.2

correctmath.algebra.system-v2conf 100% · 1.2s · $0.000 · 227 tok

question

Solve the system, then answer the derived question.

5x + 9y = -91
6x − 3y = -54

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: -28

correctmath.arith.chain-v2conf 100% · 1.1s · $0.000 · 236 tok

question

Compute the value of the following expression.

(((90 × 92 − 614) × 8 + 6646) − 92 × 72) × 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: 429450

correctmath.counterfactual.base-v1conf 100% · 694ms · $0.001 · 488 tok

question

Work strictly in base 11. Add the base-11 numbers 15A3 and 1669. 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: 3161

correctmath.chained.pipeline-v1conf 100% · 565ms · $0.000 · 172 tok

question

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

Step 1: P = 30 × 19.
Step 2: Q = P × 3 − 784.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 156

correctmath.percent.chain-v2conf 100% · 758ms · $0.000 · 401 tok

question

An inventory starts at 49000 units. A rival firm shipped 169 unrelated parcels the same week. In the first month the inventory grows by 30%. The warehouse was painted 125 years ago. The next month it shrinks by 23%, and the month after it grows by 39%. 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: 68178.11

correctmath.algebra.system-v2conf 100% · 749ms · $0.000 · 233 tok

question

Solve the system, then answer the derived question.

9x + 4y = -203
3x − 9y = -450

What is the value of 2x − 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: -226

correctmath.arith.chain-v2conf 100% · 569ms · $0.000 · 392 tok

question

Calculate the following. Show your reasoning, then answer.

(((82 × 92 − 349) × 7 + 5394) − 51 × 17) × 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: 219568

correctmath.chained.pipeline-v1conf 100% · 1.4s · $0.000 · 163 tok

question

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

Step 1: P = 89 × 37.
Step 2: Q = P × 3 − 146.
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: 2434

correctmath.counterfactual.base-v1conf 100% · 597ms · $0.000 · 453 tok

question

Work strictly in base 8. Multiply the base-8 numbers 66 and 75. 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: 6336

correctmath.percent.chain-v2conf 100% · 568ms · $0.000 · 235 tok

question

An inventory starts at 17000 units. The company was founded 57 kilometers from the port. In the first month the inventory grows by 11%. A rival firm shipped 136 unrelated parcels the same week. The next month it shrinks by 30%, and the month after it grows by 27%. 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: 16775.43

correctmath.algebra.system-v2conf 100% · 1.2s · $0.000 · 208 tok

question

Solve the system, then answer the derived question.

7x + 2y = 23
2x − 5y = 1

What is the value of 5x − 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: 12

correctmath.arith.chain-v2conf 100% · 546ms · $0.000 · 195 tok

question

Work out the exact value of this expression.

(((77 × 44 − 814) × 4 + 7690) − 53 × 21) × 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: 101238

correctmath.chained.pipeline-v1conf 100% · 624ms · $0.000 · 222 tok

question

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

Step 1: P = 49 × 32.
Step 2: Q = P × 7 − 921.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1119

correctmath.counterfactual.base-v1anchorconf 100% · 1.2s · $0.000 · 419 tok

model answer: 11236

correctmath.percent.chain-v2anchorconf 100% · 773ms · $0.000 · 442 tok

model answer: 61896.52

correctmath.algebra.system-v2anchorconf 100% · 824ms · $0.000 · 272 tok

model answer: 87

correctmath.arith.chain-v2anchorconf 100% · 796ms · $0.000 · 202 tok

model answer: 108153

multilingual 30/30 correct

correctmultilingual.wordnum-v1conf 100% · 774ms · $0.000 · 186 tok

question

A number is written in French: « huit cent cinquante-neuf ». Another is written in Spanish: « novecientos 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: 1850

correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 180 tok

question

Compute 221 + 346, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: cinq cent soixante-sept

correctmultilingual.numword-v2conf 100% · 780ms · $0.000 · 250 tok

question

Compute 55 + 49, 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: ciento cuatro

correctmultilingual.wordnum-v1conf 100% · 1.2s · $0.000 · 106 tok

question

A number is written in French: « soixante-quinze ». Another is written in Spanish: « trescientos setenta ». 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: -295

correctmultilingual.numword-v2conf 100% · 568ms · $0.000 · 230 tok

question

Compute 497 + 379, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: huit cent soixante-seize

correctmultilingual.wordnum-v1conf 100% · 582ms · $0.000 · 210 tok

question

A number is written in French: « huit cent soixante-dix-huit ». Another is written in Spanish: « cuatrocientos sesenta y siete ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 411

correctmultilingual.wordnum-v1conf 100% · 931ms · $0.000 · 107 tok

question

A number is written in French: « six cent quatre ». Another is written in Spanish: « cuatrocientos 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: 113

correctmultilingual.numword-v2conf 100% · 553ms · $0.000 · 441 tok

question

Compute 167 + 433, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: six cents

correctmultilingual.numword-v2conf 100% · 764ms · $0.000 · 155 tok

question

Compute 86 + 269, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: trois cent cinquante-cinq

correctmultilingual.wordnum-v1conf 100% · 888ms · $0.000 · 106 tok

question

A number is written in French: « deux cent vingt-deux ». Another is written in Spanish: « doscientos setenta y cinco ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -53

correctmultilingual.numword-v2conf 100% · 590ms · $0.000 · 132 tok

question

Compute 434 + 300, 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 treinta y cuatro

correctmultilingual.wordnum-v1conf 100% · 544ms · $0.000 · 94 tok

question

A number is written in French: « quatre cent soixante ». Another is written in Spanish: « quinientos ochenta 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: -122

correctmultilingual.wordnum-v1conf 100% · 628ms · $0.000 · 111 tok

question

A number is written in French: « quatre cent soixante-dix-sept ». Another is written in Spanish: « 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: 561

correctmultilingual.numword-v2conf 100% · 591ms · $0.000 · 133 tok

question

Compute 277 + 62, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: trois cent trente-neuf

correctmultilingual.numword-v2conf 100% · 757ms · $0.000 · 241 tok

question

Compute 145 + 262, 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 sept

correctmultilingual.wordnum-v1conf 100% · 1.3s · $0.000 · 115 tok

question

A number is written in French: « quatre cent douze ». Another is written in Spanish: « ciento diez ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 522

correctmultilingual.wordnum-v1conf 100% · 750ms · $0.000 · 116 tok

question

A number is written in French: « deux cent vingt et un ». Another is written in Spanish: « novecientos ochenta y siete ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -766

correctmultilingual.numword-v2conf 100% · 544ms · $0.000 · 194 tok

question

Compute 89 + 201, 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 quatre-vingt-dix

correctmultilingual.wordnum-v1conf 100% · 752ms · $0.000 · 99 tok

question

A number is written in French: « six cent sept ». Another is written in Spanish: « trescientos 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: 293

correctmultilingual.numword-v2conf 100% · 746ms · $0.000 · 204 tok

question

Compute 214 + 143, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: trois cent cinquante-sept

correctmultilingual.wordnum-v1conf 100% · 792ms · $0.000 · 116 tok

question

A number is written in French: « six cent vingt-six ». Another is written in Spanish: « setecientos sesenta 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: 1394

correctmultilingual.numword-v2conf 100% · 1.3s · $0.000 · 134 tok

question

Compute 121 + 69, 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: cent quatre-vingt-dix

correctmultilingual.numword-v2conf 100% · 780ms · $0.000 · 146 tok

question

Compute 62 + 440, 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 dos

correctmultilingual.wordnum-v1conf 100% · 578ms · $0.000 · 124 tok

question

A number is written in French: « trois cent cinquante-cinq ». Another is written in Spanish: « quinientos tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 858

correctmultilingual.numword-v2conf 100% · 546ms · $0.000 · 265 tok

question

Compute 400 + 93, 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 quatre-vingt-treize

correctmultilingual.wordnum-v1conf 100% · 2.0s · $0.000 · 114 tok

question

A number is written in French: « sept cent soixante-neuf ». Another is written in Spanish: « trescientos 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: 461

correctmultilingual.wordnum-v1anchorconf 100% · 539ms · $0.000 · 118 tok

model answer: 150

correctmultilingual.numword-v2anchorconf 100% · 547ms · $0.000 · 205 tok

model answer: huit cent soixante-dix-neuf

correctmultilingual.numword-v2anchorconf 100% · 878ms · $0.000 · 139 tok

model answer: seiscientos ocho

correctmultilingual.wordnum-v1anchorconf 100% · 562ms · $0.000 · 107 tok

model answer: 762

reasoning 29/30 correct

correctreasoning.deduction.position-v1conf 100% · 857ms · $0.000 · 296 tok

question

Four people stand in a queue (number 1 is the front). Goran is directly ahead of Nadir. Sami is number 1 in the queue. Bruno is directly ahead of Goran. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Nadir

correctreasoning.deduction.order-v2conf 100% · 767ms · $0.000 · 319 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Tessa is heavier than Nadir. Priya is heavier than Hana. Tessa is heavier than Alice. Emil is older than everyone here, but Emil is not being ranked. Hana is heavier than Mona. Alice is heavier than Sami. Priya is heavier than Sami. Mona is heavier than Alice. Nadir is heavier than Priya. Nadir is heavier than Hana. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Alice

correctreasoning.deduction.order-v2conf 100% · 524ms · $0.000 · 287 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Rosa. Sami is faster than Jonas. Sami is faster than Liam. Liam is faster than Dara. Priya is heavier than everyone here, but Priya is not being ranked. Bruno is faster than Sami. Bruno is faster than Dara. Liam is faster than Jonas. Jonas is faster than Mona. Rosa is faster than Jonas. 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: Sami

correctreasoning.deduction.position-v1conf 100% · 2.2s · $0.000 · 117 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Ola. Ola is directly ahead of Ines. Ines is number 4 in the queue. Farah is directly ahead of Hana. 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: Farah

correctreasoning.deduction.position-v1conf 100% · 564ms · $0.000 · 239 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Ines. Mona is number 1 in the queue. Ines is directly ahead of Alice. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mona

correctreasoning.deduction.order-v2conf 100% · 845ms · $0.000 · 325 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Bruno. Goran is faster than Sami. Rosa is faster than Nadir. Priya is faster than Rosa. Bruno is faster than Nadir. Sami is faster than Nadir. Kira is faster than Priya. Bruno is faster than Kira. Goran is faster than Rosa. Tessa is taller than everyone here, but Tessa is not being ranked. 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: Bruno

correctreasoning.deduction.order-v2conf 100% · 1.3s · $0.000 · 255 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Nadir. Liam is older than everyone here, but Liam is not being ranked. Nadir is faster than Jonas. Dara is faster than Rosa. Ola is faster than Priya. Tessa is faster than Rosa. Dara is faster than Rosa. Jonas is faster than Dara. Dara is faster than Tessa. Dara is faster than Rosa. 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: Dara

correctreasoning.deduction.position-v1conf 100% · 558ms · $0.000 · 121 tok

question

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

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Goran

correctreasoning.deduction.order-v2conf 100% · 560ms · $0.000 · 374 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Sami is taller than Dara. Kira is taller than Ines. Dara is taller than Nadir. Kira is taller than Emil. Sami is taller than Nadir. Nadir is taller than Jonas. Goran is heavier than everyone here, but Goran is not being ranked. Emil is taller than Ines. Sami is taller than Kira. Jonas is taller than Kira. 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: Nadir

correctreasoning.deduction.position-v1conf 100% · 1.2s · $0.000 · 126 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 600ms · $0.000 · 366 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Sami. Jonas is heavier than Priya. Priya is heavier than Rosa. Rosa is heavier than Ines. Sami is heavier than Kira. Kira is heavier than Quinn. Farah is older than everyone here, but Farah is not being ranked. Sami is heavier than Quinn. Rosa is heavier than Kira. Sami is heavier than Quinn. 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: Priya

correctreasoning.deduction.position-v1conf 100% · 781ms · $0.000 · 117 tok

question

Four people stand in a queue (number 1 is the front). Mona is directly ahead of Sami. Sami is directly ahead of Jonas. Rosa is number 4 in the queue. Jonas is directly ahead of Rosa. 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: Jonas

correctreasoning.deduction.position-v1conf 100% · 1.2s · $0.000 · 153 tok

question

Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Tessa. Liam is directly ahead of Rosa. Jonas is number 1 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Liam

correctreasoning.deduction.order-v2conf 100% · 528ms · $0.000 · 340 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Hana. Ines is faster than Mona. Rosa is faster than Hana. Ola is older than everyone here, but Ola is not being ranked. Mona is faster than Hana. Alice is faster than Emil. Sami is faster than Hana. Sami is faster than Alice. Emil is faster than Ines. Mona is faster than Rosa. 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: Ines

correctreasoning.deduction.order-v2conf 100% · 577ms · $0.000 · 249 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Jonas. Emil is faster than Sami. Mona is faster than Jonas. Kira is faster than Mona. Kira is faster than Jonas. Bruno is taller than everyone here, but Bruno is not being ranked. Sami is faster than Chen. Chen is faster than Kira. Goran is faster than Emil. Sami is faster than Jonas. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Chen

correctreasoning.deduction.position-v1conf 100% · 557ms · $0.000 · 166 tok

question

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

wrongreasoning.deduction.position-v1conf 100% · 1.3s · $0.000 · 360 tok

question

Four people stand in a queue (number 1 is the front). Tessa is number 3 in the queue. Sami is directly ahead of Tessa. Ola is directly ahead of Sami. 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: Unknown

correctreasoning.deduction.order-v2conf 100% · 1.3s · $0.000 · 310 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Chen. Ines is faster than Goran. Farah is taller than everyone here, but Farah is not being ranked. Sami is faster than Goran. Liam is faster than Ines. Sami is faster than Chen. Hana is faster than Ines. Liam is faster than Hana. Chen is faster than Liam. Sami is faster than Mona. 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: Liam

correctreasoning.deduction.order-v2conf 100% · 975ms · $0.000 · 267 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Ola is heavier than everyone here, but Ola is not being ranked. Sami is taller than Bruno. Bruno is taller than Ines. Bruno is taller than Mona. Mona is taller than Tessa. Bruno is taller than Mona. Ines is taller than Mona. Chen is taller than Sami. Jonas is taller than Chen. Jonas is taller than Tessa. 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: Sami

correctreasoning.deduction.position-v1conf 100% · 851ms · $0.000 · 157 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 555ms · $0.000 · 314 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Alice is faster than Chen. Priya is older than everyone here, but Priya is not being ranked. Jonas is faster than Dara. Sami is faster than Emil. Emil is faster than Chen. Dara is faster than Sami. Sami is faster than Bruno. Emil is faster than Alice. Bruno is faster than Emil. Bruno 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: Alice

correctreasoning.deduction.position-v1conf 100% · 530ms · $0.000 · 142 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 546ms · $0.000 · 441 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Dara. Liam is heavier than Nadir. Emil is older than everyone here, but Emil is not being ranked. Dara is heavier than Liam. Dara is heavier than Ola. Dara is heavier than Liam. Priya is heavier than Jonas. Ola is heavier than Nadir. Chen is heavier than Priya. Ola is heavier than Liam. 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: Liam

correctreasoning.deduction.position-v1conf 100% · 827ms · $0.000 · 118 tok

question

Four people stand in a queue (number 1 is the front). Goran is directly ahead of Chen. Liam is number 2 in the queue. Rosa is directly ahead of Liam. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Rosa

correctreasoning.deduction.order-v2conf 100% · 1.2s · $0.000 · 280 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Alice. Chen is heavier than Emil. Ola is heavier than Sami. Farah is heavier than Ola. Ola is heavier than Alice. Kira is heavier than Chen. Emil is heavier than Farah. Sami is heavier than Alice. Goran is faster than everyone here, but Goran is not being ranked. Kira is heavier than Emil. 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: Emil

correctreasoning.deduction.position-v1conf 100% · 540ms · $0.000 · 141 tok

question

Four people stand in a queue (number 1 is the front). Mona is number 2 in the queue. Liam is directly ahead of Goran. Farah is directly ahead of Mona. 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: Liam

correctreasoning.deduction.position-v1anchorconf 100% · 1.2s · $0.000 · 209 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 100% · 530ms · $0.000 · 303 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 100% · 547ms · $0.000 · 324 tok

model answer: Mona

correctreasoning.deduction.position-v1anchorconf 100% · 754ms · $0.000 · 143 tok

model answer: Farah

terminal 29/30 correct

correctterminal.fs.tree-v1conf 100% · 1.1s · $0.001 · 1162 tok

question

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

```
/proj/build/setup.cfg
/proj/draft.cfg
/proj/index.txt
/proj/src/notes.cfg
/proj/src/util.log
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
cp src/util.log build/
rm index.txt
rm src/notes.cfg
cd src
rm ../../proj/build/util.log
touch ../../proj/docs/draft-9.txt
cd ../../proj
mkdir -p docs/conf-2
```

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/setup.cfg
/proj/docs/draft-9.txt
/proj/draft.cfg
/proj/src/util.log

correctterminal.exit.chain-v1conf 100% · 536ms · $0.000 · 267 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
grep -q coral notes.txt && echo A || echo B
grep -q coral notes.txt && echo C || echo D
false && 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:

A
C
F
G
Z
exit:0

correctterminal.pipeline.predict-v1conf 100% · 560ms · $0.000 · 242 tok

question

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

```
dev,hr,45,23
gus,ops,107,14
fay,legal,99,13
bo,ops,20,21
ivy,ops,45,53
kim,ops,23,14
lou,sales,86,18
ned,eng,37,83
oli,legal,70,24
jon,sales,80,98
eli,ops,102,15
ana,eng,56,67
cy,ops,28,36
```

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:

oli,legal,70,24
fay,legal,99,13

correctterminal.exit.chain-v1conf 100% · 549ms · $0.000 · 269 tok

question

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

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

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

These statements run in order:

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

A
D
F
H
Z
exit:0

correctterminal.fs.tree-v1conf 100% · 749ms · $0.000 · 393 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/docs/index.log
/proj/draft.txt
/proj/logs/util.cfg
/proj/src/report.txt
/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
rm todo.cfg
rm logs/util.cfg
mkdir -p src/docs-3
mv draft.txt todo-1.cfg
touch docs/notes-2.md
cd .
mkdir -p src/docs-3/assets-5
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/docs/index.log
/proj/docs/notes-2.md
/proj/src/report.txt
/proj/todo-1.cfg

wrongterminal.fs.tree-v1conf 100% · 754ms · $0.001 · 1141 tok

question

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

```
/proj/conf/main.log
/proj/conf/report.cfg
/proj/notes.cfg
/proj/src/draft.md
/proj/util.txt
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
cp src/draft.md conf/
cd conf
touch draft-4.cfg
touch ../../proj/main-7.log
mv draft.md ./
rm ../../proj/util.txt
cp ../../proj/src/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/conf/draft-4.cfg
/proj/conf/draft.md
/proj/conf/main-7.log
/proj/conf/main.log
/proj/conf/report.cfg
/proj/notes.cfg
/proj/src/draft.md

correctterminal.pipeline.predict-v1conf 100% · 1.2s · $0.000 · 312 tok

question

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

```
kim,eng,77,97
max,hr,56,60
hal,ops,72,14
gus,legal,34,44
lou,eng,73,80
fay,legal,114,83
ivy,eng,92,99
oli,hr,51,30
eli,eng,34,30
ned,hr,118,47
bo,hr,66,23
ana,eng,26,71
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 72 { n += 1 } END { print n }'
```

Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 3

correctterminal.exit.chain-v1conf 100% · 525ms · $0.000 · 370 tok

question

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

```
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
true && 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:

A
C
F
exit:1

correctterminal.pipeline.predict-v1conf 100% · 1.3s · $0.000 · 267 tok

question

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

```
max,sales,69,96
oli,legal,69,12
fay,ops,120,30
pam,eng,28,18
ivy,eng,15,10
cy,hr,25,55
bo,hr,28,64
eli,eng,111,28
jon,eng,75,17
lou,legal,118,61
dev,legal,59,22
hal,hr,115,36
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```

Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 229

correctterminal.fs.tree-v1conf 100% · 776ms · $0.001 · 1029 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/src`):

```
/proj/conf/draft.log
/proj/conf/main.cfg
/proj/index.log
/proj/setup.md
/proj/src/todo.txt
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
touch conf/notes-3.cfg
cd src
mkdir -p ../../proj/assets-3
cp ../../proj/index.log ./
touch ../../proj/assets-3/util-5.md
cp ../../proj/setup.md ../../proj/assets-3/
touch ../../proj/assets/util-9.cfg
rm ../../proj/assets-3/setup.md
touch ../../proj/conf/todo-9.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-3/util-5.md
/proj/assets/util-9.cfg
/proj/conf/draft.log
/proj/conf/main.cfg
/proj/conf/notes-3.cfg
/proj/conf/todo-9.cfg
/proj/index.log
/proj/setup.md
/proj/src/index.log
/proj/src/todo.txt

correctterminal.exit.chain-v1conf 100% · 662ms · $0.000 · 388 tok

question

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

```
app.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
grep -q basil notes.txt && echo E || echo F
true && echo G || echo H
test -f ghost.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
E
G
exit:1

correctterminal.fs.tree-v1conf 100% · 525ms · $0.001 · 1369 tok

question

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

```
/proj/docs/report.log
/proj/docs/todo.md
/proj/index.log
/proj/logs/main.txt
/proj/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
touch docs/setup-4.cfg
mkdir -p src/conf-1
cp docs/todo.md src/
cd docs
mkdir -p ../../proj/src/src-5
mkdir -p ../../proj/src/src-5/assets-2
cd ../../proj/src/conf-1
mv ../../../proj/index.log ../../../proj/todo-7.txt
```

List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/docs/report.log
/proj/docs/setup-4.cfg
/proj/docs/todo.md
/proj/logs/main.txt
/proj/notes.md
/proj/src/todo.md
/proj/todo-7.txt

correctterminal.pipeline.predict-v1conf 100% · 829ms · $0.000 · 382 tok

question

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

```
max,legal,30,88
ana,hr,88,22
pam,ops,119,21
ivy,eng,35,31
oli,ops,32,99
eli,eng,65,66
bo,legal,71,75
ned,eng,85,40
dev,eng,51,10
jon,sales,60,88
lou,eng,31,78
fay,hr,64,47
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 2
```

Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

eli,eng,65,66
ned,eng,85,40

correctterminal.exit.chain-v1conf 100% · 924ms · $0.000 · 399 tok

question

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

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

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

These statements run in order:

```sh
grep -q amber notes.txt && echo A || echo B
test -f app.txt && echo C || echo D
test -f tmp.txt && echo E || echo F
true && echo G || echo H
test -f ghost.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
F
G
exit:1

correctterminal.fs.tree-v1conf 100% · 941ms · $0.001 · 969 tok

question

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

```
/proj/build/report.log
/proj/conf/draft.log
/proj/index.txt
/proj/logs/setup.log
/proj/todo.txt
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
mv build/report.log logs/
rm todo.txt
mkdir -p conf/assets-4
cp index.txt build/
cd conf
touch main-9.log
mv ../../proj/build/index.txt ../../proj/
```

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.log
/proj/conf/main-9.log
/proj/index.txt
/proj/logs/report.log
/proj/logs/setup.log

correctterminal.pipeline.predict-v1conf 100% · 557ms · $0.000 · 213 tok

question

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

```
hal,legal,6,18
ivy,legal,11,61
max,eng,109,83
lou,sales,87,39
bo,eng,88,36
oli,sales,10,20
gus,eng,21,14
ana,hr,64,63
eli,ops,82,95
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -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:

hal,6
ivy,11

correctterminal.exit.chain-v1conf 100% · 756ms · $0.000 · 367 tok

question

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

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

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

These statements run in order:

```sh
test -f data.txt && echo A || echo B
test -f app.txt && echo C || echo D
false && echo E || echo F
test -f app.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
C
F
Z
exit:0

correctterminal.fs.tree-v1conf 100% · 948ms · $0.001 · 908 tok

question

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

```
/proj/assets/draft.txt
/proj/docs/main.cfg
/proj/docs/report.cfg
/proj/notes.txt
/proj/util.cfg
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
mv notes.txt assets/
rm docs/report.cfg
cd assets
touch ../../proj/docs/index-4.log
cd .
mv ../../proj/docs/main.cfg ../../proj/
touch ../../proj/index-5.log
mv ../../proj/index-5.log ../../proj/draft-2.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/draft.txt
/proj/assets/notes.txt
/proj/docs/index-4.log
/proj/draft-2.cfg
/proj/main.cfg
/proj/util.cfg

correctterminal.pipeline.predict-v1conf 100% · 542ms · $0.001 · 441 tok

question

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

```
jon,ops,107,62
eli,hr,40,16
cy,eng,46,91
fay,ops,104,84
hal,hr,82,30
dev,eng,44,33
lou,ops,90,22
max,hr,91,11
ana,hr,99,49
kim,sales,41,96
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 2
```

Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

max,hr,91,11
ana,hr,99,49

correctterminal.exit.chain-v1conf 100% · 570ms · $0.000 · 347 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
grep -q coral notes.txt && echo A || echo B
test -f data.txt && echo C || echo D
true && echo E || echo F
false && echo G || echo H
test -f app.txt && echo Z
```

Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
E
H
Z
exit:0

correctterminal.fs.tree-v1conf 100% · 609ms · $0.001 · 1292 tok

question

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

```
/proj/assets/index.md
/proj/assets/notes.log
/proj/conf/report.txt
/proj/main.log
/proj/util.md
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
touch report-2.txt
cd conf
mkdir -p ../../proj/src-3
cp ../../proj/assets/notes.log ./
mkdir -p ../../proj/docs/src-1
cp ../../proj/report-2.txt ../../proj/src-3/
touch ../../proj/src-3/setup-2.log
touch ../../proj/assets/todo-4.txt
cd .
mkdir -p src-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/assets/index.md
/proj/assets/notes.log
/proj/assets/todo-4.txt
/proj/conf/notes.log
/proj/conf/report.txt
/proj/main.log
/proj/report-2.txt
/proj/src-3/report-2.txt
/proj/src-3/setup-2.log
/proj/util.md

correctterminal.pipeline.predict-v1conf 100% · 762ms · $0.000 · 286 tok

question

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

```
gus,hr,89,31
hal,legal,28,48
oli,legal,30,57
fay,hr,55,90
bo,eng,26,34
jon,sales,96,14
ana,ops,107,82
dev,ops,52,89
max,hr,44,86
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```

Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 58

correctterminal.exit.chain-v1conf 100% · 870ms · $0.000 · 390 tok

question

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

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

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

These statements run in order:

```sh
grep -q basil notes.txt && echo A || echo B
true && 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:

B
C
E
exit:1

correctterminal.pipeline.predict-v1conf 100% · 525ms · $0.000 · 260 tok

question

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

```
oli,legal,45,33
cy,ops,94,95
ana,hr,90,11
ivy,sales,63,73
ned,sales,9,35
kim,legal,44,69
bo,ops,51,39
gus,sales,57,94
jon,sales,110,38
dev,ops,111,32
fay,eng,103,39
hal,sales,59,17
max,legal,105,18
```

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: 1

correctterminal.exit.chain-v1conf 100% · 1.2s · $0.001 · 529 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
true && echo A || echo B
grep -q basil 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:1

correctterminal.fs.tree-v1conf 100% · 553ms · $0.001 · 945 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/src`):

```
/proj/docs/report.md
/proj/main.md
/proj/setup.md
/proj/src/index.md
/proj/src/util.txt
```

These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes):

```sh
mkdir -p docs/docs-5
cd src
cp ../../proj/main.md ../../proj/docs/
cp ../../proj/setup.md ../../proj/build/
cd ../../proj/docs
mv report.md setup-8.md
mkdir -p ../../proj/src/src-2
touch ../../proj/src/main-8.md
touch ../../proj/src/src-2/setup-9.cfg
mkdir -p ../../proj/build-8
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/setup.md
/proj/docs/main.md
/proj/docs/setup-8.md
/proj/main.md
/proj/setup.md
/proj/src/index.md
/proj/src/main-8.md
/proj/src/src-2/setup-9.cfg
/proj/src/util.txt

correctterminal.pipeline.predict-v1anchorconf 100% · 550ms · $0.000 · 330 tok

model answer:

eli,eng,60,55
dev,eng,81,95
cy,eng,115,45

correctterminal.fs.tree-v1anchorconf 100% · 530ms · $0.001 · 1125 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.cfg

correctterminal.exit.chain-v1anchorconf 100% · 735ms · $0.001 · 446 tok

model answer:

B
D
E
G
exit:1

correctterminal.pipeline.predict-v1anchorconf 100% · 1.1s · $0.000 · 385 tok

model answer: 1

vision ocr 28/30 correct

correctvision.ocr.table-read-v1conf 100% · 1.9s · $0.000 · 126 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number 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: 161

correctvision.ocr.code-hunt-v1conf 100% · 3.2s · $0.000 · 130 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 39TK4U9F

correctvision.ocr.table-read-v1conf 100% · 1.7s · $0.000 · 123 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number 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: 129

wrongvision.ocr.code-hunt-v1conf 90% · 873ms · $0.001 · 420 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: KVH3TX

correctvision.ocr.table-read-v1conf 100% · 1.3s · $0.000 · 114 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number 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: 73

correctvision.ocr.table-read-v1conf 100% · 3.1s · $0.000 · 117 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number 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: 93

correctvision.ocr.table-read-v1conf 100% · 7.1s · $0.000 · 141 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number 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: 95

correctvision.ocr.code-hunt-v1conf 100% · 2.4s · $0.000 · 91 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 3RCJDFJN

correctvision.ocr.code-hunt-v1conf 100% · 1.9s · $0.000 · 58 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 9DCVXR3

correctvision.ocr.code-hunt-v1conf 100% · 1.9s · $0.000 · 80 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 4KE4E74

correctvision.ocr.code-hunt-v1conf 100% · 1.9s · $0.000 · 100 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: W9KRPP

correctvision.ocr.table-read-v1conf 100% · 1.5s · $0.000 · 109 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number 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: 82

correctvision.ocr.table-read-v1conf 100% · 1.6s · $0.000 · 125 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number 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: 39

correctvision.ocr.code-hunt-v1conf 100% · 1.8s · $0.000 · 83 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: JC3W7CC

correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 84 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number 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: 90

correctvision.ocr.code-hunt-v1conf 100% · 2.7s · $0.000 · 72 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: NJUFXPA

correctvision.ocr.table-read-v1conf 100% · 9.8s · $0.000 · 148 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number 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: 112

correctvision.ocr.table-read-v1conf 100% · 1.4s · $0.000 · 102 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number 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: 92

correctvision.ocr.code-hunt-v1conf 100% · 1.8s · $0.000 · 64 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: TMDKCYH

correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 193 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number 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: 77

correctvision.ocr.code-hunt-v1conf 100% · 1.9s · $0.000 · 114 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: MFRRVYE

correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 59 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: W93CCE

correctvision.ocr.table-read-v1conf 100% · 6.1s · $0.000 · 169 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number 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: 259

correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 130 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number 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: 261

correctvision.ocr.code-hunt-v1anchorconf 100% · 9.6s · $0.000 · 107 tok

model answer: VX7993D

wrongvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 108 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: VPYMAXMR

correctvision.ocr.code-hunt-v1conf 100% · 1.5s · $0.000 · 71 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: PRUD4AVD

correctvision.ocr.code-hunt-v1anchorconf 95% · 1.7s · $0.001 · 503 tok

model answer: YH9E4AWP

correctvision.ocr.table-read-v1anchorconf 100% · 1.7s · $0.000 · 81 tok

model answer: 15

correctvision.ocr.table-read-v1anchorconf 100% · 2.3s · $0.000 · 113 tok

model answer: 25

Run history

2026-08-05v0.2.0index_fit779
2026-08-05v0.2.0index_fit779
2026-08-05v0.2.0index_fit780
2026-08-05v0.2.0index_fit780
2026-08-05v0.2.0index_fit781
2026-08-05v0.2.0index_fit783
2026-08-05v0.2.0index_fit784
2026-08-05v0.2.0index_fit786
2026-08-05v0.2.0index_fit788
2026-08-05v0.2.0index_fit788
2026-08-05v0.2.0index_fit789
2026-08-05v0.2.0index_fit787
2026-08-05v0.2.0index_fit786
2026-08-05v0.2.0index_fit786
2026-08-05v0.2.0index_fit787
2026-08-05v0.2.0index_fit787
2026-08-05v0.2.0index_fit788
2026-08-05v0.2.0index_fit788
2026-08-05v0.2.0index_fit787
2026-08-05v0.2.0index_fit777

NNex AGI: Nex-N2-Pro

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Per-domain scores

Every answer, every test

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