Microsoft: Phi 4

microsoft/phi-4 · microsoft · context 16 384 · in $0.070/1M · out $0.140/1M

Global Index

539

95% CI [495–582] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	406 [332–480]	0.218	0.63	0.30	0.000	127ms	$0.126
code	374 [282–466]	0.329	0.80	0.57	0.212	141ms	$0.097
instruction following	307 [228–385]	0.257	0.68	0.50	0.288	116ms	$0.025
knowledge	665 [501–829]	0.520	0.90	0.97	0.038	112ms	$0.008
math	694 [551–837]	0.541	0.88	0.87	0.000	142ms	$0.045
multilingual	771 [608–935]	0.659	0.86	0.97	0.000	120ms	$0.024
reasoning	606 [467–744]	0.570	0.95	0.87	0.154	122ms	$0.040
terminal	487 [394–580]	0.348	0.74	0.47	0.038	129ms	$0.037

Every answer, every test

Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.

agentic 9/30 correct

wrongagentic.tools.context-load-v1conf 100% · 118ms · $0.001 · 2750 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 (234 records, format: id|customer|region|item|qty|status):
```
1517|gale|south|gasket|48|pending
1329|ember|south|frame|43|paid
1136|ember|east|cable|74|pending
1813|ionic|south|sensor|71|held
1227|acme|north|frame|70|paid
1735|acme|west|sensor|56|paid
1404|ionic|north|rotor|38|pending
1484|fulton|west|frame|60|pending
1536|acme|west|gasket|55|held
1765|cobalt|south|valve|27|paid
1561|fulton|south|rotor|53|pending
1291|harbor|east|cable|57|shipped
1598|dorian|east|rotor|37|shipped
1904|ionic|east|pump|70|paid
1492|harbor|north|rotor|11|paid
1062|birch|north|rotor|74|paid
1678|juno|east|gasket|98|pending
1615|juno|west|frame|26|held
1898|birch|north|cable|77|held
1275|cobalt|north|gasket|15|paid
1173|dorian|north|gasket|69|pending
1549|ionic|east|valve|44|pending
1456|harbor|north|panel|45|held
1255|ionic|west|panel|56|shipped
1752|birch|north|cable|26|paid
1342|juno|east|gasket|54|paid
1092|birch|north|rotor|54|paid
1872|birch|south|panel|64|pending
1124|acme|south|sensor|74|shipped
1399|ember|west|sensor|55|held
1080|birch|north|sensor|96|held
1478|birch|south|pump|50|paid
1808|gale|south|valve|88|pending
1900|acme|north|rotor|54|held
1447|birch|east|frame|97|pending
1386|gale|east|pump|87|paid
1780|gale|west|sensor|90|shipped
1141|cobalt|west|cable|85|paid
1418|birch|south|panel|44|paid
1803|cobalt|east|valve|43|pending
1960|fulton|south|cable|68|paid
1941|ionic|west|valve|65|pending
1609|ember|west|panel|71|pending
1321|fulton|east|frame|27|paid
1822|ember|north|valve|66|paid
1495|ember|west|cable|81|paid
1809|birch|east|panel|40|paid
1885|birch|west|pump|24|paid
1937|ionic|west|panel|28|pending
1144|birch|north|gasket|79|shipped
1584|fulton|west|rotor|35|held
1391|juno|north|pump|29|shipped
1544|juno|north|pump|87|pending
1220|cobalt|north|sensor|72|paid
1411|dorian|west|sensor|93|held
1837|harbor|north|valve|89|held
1722|fulton|north|rotor|10|paid
1819|ember|north|pump|29|pending
1683|fulton|west|pump|95|pending
1702|gale|west|pump|37|pending
1305|ionic|south|pump|50|pending
1073|birch|north|rotor|48|pending
1834|ember|east|gasket|76|pending
1902|acme|south|valve|62|pending
1322|harbor|north|panel|86|pending
1371|ember|north|pump|68|paid
1925|fulton|north|pump|85|shipped
1108|cobalt|south|frame|22|held
1378|ionic|north|pump|69|pending
1093|birch|north|frame|38|pending
1245|juno|west|sensor|20|pending
1260|ember|west|pump|53|paid
1286|acme|north|sensor|81|pending
1641|birch|north|cable|46|shipped
1631|birch|south|cable|10|paid
1193|harbor|west|gasket|80|paid
1279|juno|east|frame|55|held
1310|fulton|east|pump|64|shipped
1661|birch|south|rotor|38|shipped
1189|ionic|east|cable|11|held
1202|juno|south|cable|55|held
1729|ionic|west|gasket|51|held
1701|birch|north|rotor|54|paid
1197|dorian|west|rotor|48|paid
1439|gale|north|frame|87|paid
1707|juno|north|rotor|94|shipped
1099|birch|west|valve|82|pending
1056|birch|east|sensor|49|pending
1786|acme|south|panel|18|paid
1131|harbor|west|rotor|77|shipped
1519|acme|east|valve|70|pending
1301|dorian|west|gasket|53|shipped
1654|juno|west|frame|74|paid
1190|dorian|south|sensor|69|shipped
1079|birch|east|pump|85|pending
1366|ember|west|sensor|75|pending
1603|acme|west|cable|79|shipped
1351|fulton|west|cable|27|held
1565|cobalt|south|sensor|37|shipped
1843|juno|east|pump|62|pending
1267|ionic|south|pump|47|paid
1214|ember|west|rotor|43|shipped
1360|ember|east|gasket|42|shipped
1917|dorian|south|pump|14|pending
1133|fulton|west|panel|42|held
1090|birch|east|pump|86|pending
1527|dorian|north|frame|35|shipped
1874|gale|west|rotor|11|paid
1918|cobalt|west|panel|56|shipped
1542|birch|east|gasket|56|pending
1648|fulton|east|pump|82|held
1251|dorian|east|pump|90|held
1072|birch|north|valve|48|held
1745|ionic|west|pump|99|shipped
1741|birch|south|valve|84|shipped
1845|cobalt|west|sensor|90|shipped
1796|harbor|north|cable|20|shipped
1855|juno|west|cable|88|shipped
1957|cobalt|west|rotor|15|pending
1363|gale|west|valve|25|paid
1182|fulton|south|gasket|87|held
1950|cobalt|east|sensor|39|pending
1982|ember|west|pump|17|pending
1237|fulton|west|panel|41|paid
1394|gale|south|rotor|58|held
1908|acme|south|gasket|71|paid
1402|dorian|east|valve|40|shipped
1817|cobalt|south|sensor|76|held
1905|cobalt|north|sensor|72|paid
1309|dorian|east|gasket|98|held
1336|fulton|north|valve|77|shipped
1547|ionic|south|rotor|60|paid
1465|gale|east|panel|63|paid
1505|ember|west|panel|87|shipped
1668|ember|south|cable|21|pending
1529|juno|east|gasket|87|paid
1430|cobalt|east|sensor|76|held
1947|fulton|east|valve|21|paid
1487|dorian|north|gasket|12|shipped
1314|cobalt|south|frame|48|shipped
1196|ember|west|gasket|99|pending
1879|birch|south|rotor|78|held
1627|acme|north|frame|37|shipped
1980|juno|south|sensor|73|paid
1525|dorian|west|rotor|95|pending
1051|birch|north|sensor|26|pending
1919|juno|east|pump|37|held
1235|juno|north|valve|42|shipped
1231|harbor|south|pump|44|held
1486|juno|north|sensor|18|shipped
1788|dorian|south|pump|90|pending
1244|cobalt|north|frame|15|held
1943|dorian|west|panel|63|pending
1241|ionic|west|frame|35|paid
1298|juno|west|gasket|75|pending
1444|birch|east|frame|74|held
1758|dorian|east|pump|24|pending
1824|dorian|east|sensor|98|paid
1968|harbor|south|valve|23|shipped
1985|harbor|east|pump|44|held
1932|birch|south|panel|48|pending
1151|acme|west|frame|34|held
1499|ember|north|gasket|46|pending
1675|fulton|north|valve|90|pending
1188|juno|south|frame|21|pending
1560|dorian|east|valve|10|paid
1849|birch|north|pump|82|pending
1580|birch|north|gasket|94|shipped
1158|acme|west|gasket|41|shipped
1102|birch|north|pump|98|held
1117|cobalt|south|panel|84|shipped
1250|harbor|east|gasket|69|pending
1335|acme|north|cable|80|shipped
1728|fulton|east|gasket|31|pending
1554|dorian|south|frame|45|shipped
1945|birch|north|cable|10|shipped
1236|harbor|west|rotor|73|held
1433|juno|west|pump|85|paid
1211|ember|south|gasket|85|pending
1348|birch|east|sensor|67|shipped
1681|gale|south|sensor|98|shipped
1695|dorian|north|cable|13|held
1591|harbor|east|cable|48|paid
1746|cobalt|south|rotor|61|paid
1162|juno|north|frame|38|pending
1397|harbor|east|valve|54|pending
1063|birch|north|gasket|63|pending
1389|fulton|east|rotor|88|paid
1412|gale|south|cable|30|paid
1829|ionic|west|sensor|27|pending
1575|juno|south|valve|86|pending
1611|fulton|south|gasket|71|shipped
1460|ember|north|frame|88|pending
1510|ionic|west|panel|85|shipped
1721|fulton|south|pump|62|pending
1909|harbor|east|pump|65|pending
1472|cobalt|south|pump|31|pending
1913|juno|south|panel|53|held
1635|gale|east|frame|96|shipped
1605|juno|north|cable|88|shipped
1208|harbor|west|pump|29|shipped
1209|birch|west|panel|63|paid
1114|cobalt|east|gasket|93|pending
1087|birch|north|sensor|87|pending
1473|ionic|north|sensor|82|shipped
1791|harbor|north|gasket|25|held
1860|ember|south|gasket|17|held
1532|cobalt|south|sensor|91|paid
1385|juno|north|valve|35|pending
1865|fulton|west|sensor|78|paid
1766|ionic|north|valve|58|pending
1967|juno|east|cable|48|pending
1454|juno|east|cable|47|paid
1714|gale|east|frame|61|held
1169|ionic|west|gasket|15|shipped
1070|birch|west|cable|88|pending
1423|juno|south|pump|96|pending
1541|gale|west|sensor|33|held
1774|acme|west|panel|14|shipped
1660|gale|east|rotor|41|paid
1891|birch|west|valve|78|paid
1867|acme|south|valve|14|paid
1462|acme|west|pump|74|shipped
1268|ionic|west|rotor|53|shipped
1354|juno|west|pump|77|held
1178|dorian|east|sensor|65|held
1963|gale|east|sensor|65|pending
1543|cobalt|east|gasket|15|held
1880|harbor|east|valve|54|held
1973|gale|east|frame|42|held
1690|ionic|south|frame|20|paid
1773|ionic|west|panel|33|paid
1621|cobalt|north|panel|27|pending
1572|dorian|south|pump|21|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[
    {"tool": "cancel_order", "args": {"order_id": 1062}},
    {"tool": "cancel_order", "args": {"order_id": 1087}},
    {"tool": "cancel_order", "args": {"order_id": 1090}},
    {"tool": "cancel_order", "args": {"order_id": 1093}},
    {"tool": "cancel_order", "args": {"order_id": 1102}},
    {"tool": "cancel_order", "args": {"order_id": 1117}},
    {"tool": "cancel_order", "args": {"order_id": 1124}},
    {"tool": "cancel_order", "args": {"order_id": 1144}},
    {"tool": "cancel_order", "args": {"order_id": 1162}},
    {"tool": "cancel_order", "args": {"order_id": 1173}},
    {"tool": "cancel_order", "args": {"order_id": 1189}},
    {"tool": "cancel_order", "args": {"order_id": 1197}},
    {"tool": "cancel_order", "args": {"order_id": 1209}},
    {"tool": "cancel_order", "args": {"order_id": 1241}},
    {"tool": "cancel_order", "args": {"order_id": 1250}},
    {"tool": "cancel_order", "args": {"order_id": 1260}},
    {"tool": "cancel_order", "args": {"order_id": 1279}},
    {"tool": "cancel_order", "args": {"order_id": 1286}},
    {"tool": "cancel_order", "args": {"order_id": 1305}},
    {"tool": "cancel_order", "args": {"order_id": 1310}},
    {"tool": "cancel_order", "args": {"order_id": 1322}},
    {"tool": "cancel_order", "args": {"order_id": 1336}},
    {"tool": "cancel_order", "args": {"order_id": 1348}},
    {"tool": "cancel_order", "args": {"order_id": 1351}},
    {"tool": "cancel_order", "args": {"order_id": 1360}},
    {"tool": "cancel_order", "args": {"order_id": 1378}},
    {"tool": "cancel_order", "args": {"order_id": 1389}},
    {"tool": "cancel_order", "args": {"order_id": 1391}},
    {"tool": "cancel_order", "args": {"order_id": 1397}},
    {"tool": "cancel_order", "args": {"order_id": 1418}},
    {"tool": "cancel_order", "args": {"order_id": 1423}},
    {"tool": "cancel_order", "args": {"order_id": 1439}},
    {"tool": "cancel_order", "args": {"order_id": 1444}},
    {"tool": "cancel_order", "args": {"order_id": 1454}},
    {"tool": "cancel_order", "args": {"order_id": 1460}},
    {"tool": "cancel_order", "args": {"order_id": 1462}},
    {"tool": "cancel_order", "args": {"order_id": 1472}},
    {"tool": "cancel_order", "args": {"order_id": 1473}},
    {"tool": "cancel_order", "args": {"order_id": 1486}},
    {"tool": "cancel_order", "args": {"order_id": 1492}},
    {"tool": "cancel_order", "args": {"order_id": 1495}},
    {"tool": "cancel_order", "args": {"order_id": 1499}},
    {"tool": "cancel_order", "args": {"order_id": 1505}},
    {"tool": "cancel_order", "args": {"order_id": 1510}},
    {"tool": "cancel_order", "args": {"order_id": 1519}},
    {"tool": "cancel_order", "args": {"order_id": 1525}},
    {"tool": "cancel_order", "args": {"order_id": 1532}},
    {"tool": "cancel_order", "args": {"order_id": 1541}},
    {"tool": "cancel_order", "args": {"order_id": 1542}},
    {"tool": "cancel_order", "args": {"order_id": 1543}},
    {"tool": "cancel_order", "args": {"order_id": 1544}},
    {"tool": "cancel_order", "args": {"order_id": 1547}},
    {"tool": "cancel_order", "args": {"order_id": 1549}},
    {"tool": "cancel_order", "args": {"order_id": 1554}},
    {"tool": "cancel_order", "args": {"order_id": 1560}},
    {"tool": "cancel_order", "args": {"order_id": 1565}},
    {"tool": "cancel_order", "args": {"order_id": 1572}},
    {"tool": "cancel_order", "args": {"order_id": 1575}},
    {"tool": "cancel_order", "args": {"order_id": 1580}},
    {"tool": "cancel_order", "args": {"order_id": 1584}},
    {"tool": "cancel_order", "args": {"order_id": 1591}},
    {"tool": "cancel_order", "args": {"order_id": 1601}},
    {"tool": "cancel_order", "args": {"order_id": 1603}},
    {"tool": "cancel_order", "args": {"order_id": 1605}},
    {"tool": "cancel_order", "args": {"order_id": 1611}},
    {"tool": "cancel_order", "args": {"order_id": 1621}},
    {"tool": "cancel_order", "args": {"order_id": 1631}},
    {"tool": "cancel_order", "args": {"order_id": 1635}},
    {"tool": "cancel_order", "args": {"order_id": 1641}},
    {"tool": "cancel_order", "args": {"order_id": 1648}},
    {"tool": "cancel_order", "args": {"order_id": 1654}},
    {"tool": "cancel_order", "args": {"order_id": 1660}},
    {"tool": "cancel_order", "args": {"order_id": 1668}},
    {"tool": "cancel_order", "args": {"order_id": 1675}},
    {"tool": "cancel_order", "args": {"order_id": 1681}},
    {"tool": "cancel_order", "args": {"order_id": 1683}},
    {"tool": "cancel_order", "args": {"order_id": 1690}},
    {"tool": "cancel_order", "args": {"order_id": 1695}},
    {"tool": "cancel_order", "args": {"order_id": 1701}},
    {"tool": "cancel_order", "args": {"order_id": 1707}},
    {"tool": "cancel_order", "args": {"order_id": 1702}},
    {"tool": "cancel_order", "args": {"order_id": 1705}},
    {"tool": "cancel_order", "args": {"order_id": 1714}},
    {"tool": "cancel_order", "args": {"order_id": 1721}},
    {"tool": "cancel_order", "args": {"order_id": 1728}},
    {"tool": "cancel_order", "args": {"order_id": 1729}},
    {"tool": "cancel_order", "args": {"order_id": 1737}},
    {"tool": "cancel_order", "args": {"order_id": 1741}},
    {"tool": "cancel_order", "args": {"order_id": 1745}},
    {"tool": "cancel_order", "args": {"order_id": 1746}},
    {"tool": "cancel_order", "args": {"order_id": 1752}},
    {"tool": "cancel_order", "args": {"order_id": 1765}},
    {"tool": "cancel_order", "args": {"order_id": 1773}},
    {"tool": "cancel_order", "args": {"order_id": 1774}},
    {"tool": "cancel_order", "args": {"order_id": 1780}},
    {"tool": "cancel_order", "args": {"order_id": 1786}},
    {"tool": "cancel_order", "args": {"order_id": 1796}},
    {"tool": "cancel_order", "args": {"order_id": 1803}},
    {"tool": "cancel_order", "args": {"order_id": 1808}},
    {"tool": "cancel_order", "args": {"order_id": 1813}},
    {"tool": "cancel_order", "args": {"order_id": 1817}},
    {"tool": "cancel_order", "args": {"order_id": 1819}},
    {"tool": "cancel_order", "args": {"order_id": 1822}},
    {"tool": "cancel_order", "args": {"order_id": 1824}},
    {"tool": "cancel_order", "args": {"order_id": 1829}},
    {"tool": "cancel_order", "args": {"order_id": 1834}},
    {"tool": "cancel_order", "args": {"order_id": 1837}},
    {"tool": "cancel_order", "args": {"order_id": 1843}},
    {"tool": "cancel_order", "args": {"order_id": 1845}},
    {"tool": "cancel_order", "args": {"order_id": 1849}},
    {"tool": "cancel_order", "args": {"order_id": 1855}},
    {"tool": "cancel_order", "args": {"order_id": 1860}},
    {"tool": "cancel_order", "args": {"order_id": 1865}},
    {"tool": "cancel_order", "args": {"order_id": 1867}},
    {"tool": "cancel_order", "args": {"order_id": 1872}},
    {"tool": "cancel_order", "args": {"order_id": 1874}},
    {"tool": "cancel_order", "args": {"order_id": 1879}},
    {"tool": "cancel_order", "args": {"order_id": 1880}},
    {"tool": "cancel_order", "args": {"order_id": 1885}},
    {"tool": "cancel_order", "args": {"order_id": 1891}},
    {"tool": "cancel_order", "args": {"order_id": 1898}},
    {"tool": "cancel_order", "args": {"order_id": 1900}},
    {"tool": "cancel_order", "args": {"order_id": 1904}},
    {"tool": "cancel_order", "args": {"order_id": 1905}},
    {"tool": "cancel_order", "args": {"order_id": 1908}},
    {"tool": "cancel_order", "args": {"order_id": 1909}},
    {"tool": "cancel_order", "args": {"order_id": 1913}},
    {"tool": "cancel_order", "args": {"order_id": 1917}},
    {"tool": "cancel_order", "args": {"order_id": 1918}},
    {"tool": "cancel_order", "args": {"order_id": 1919}},
    {"tool": "cancel_order", "args": {"order_id": 1925}},
    {"tool": "cancel_order", "args": {"order_id": 1932}},
    {"tool": "cancel_order", "args": {"order_id": 1937}},
    {"tool": "cancel_order", "args": {"order_id": 1941}},
    {"tool": "cancel_order", "args": {"order_id": 1943}},
    {"tool": "cancel_order", "args": {"order_id": 1945}},
    {"tool": "cancel_order", "args": {"order_id": 1950}},
    {"tool": "cancel_order", "args": {"order_id": 1957}},
    {"tool": "cancel_order", "args": {"order_id": 1960}},
    {"tool": "cancel_order", "args": {"order_id": 1963}},
    {"tool": "cancel_order", "args": {"order_id": 1967}},
    {"tool": "cancel_order", "args": {"order_id": 1968}},
    {"tool": "cancel_order", "args": {"order_id": 1973}},
    {"tool": "cancel_order", "args": {"order_id": 1980}}
]

correctagentic.tools.ledger-v1conf 100% · 124ms · $0.000 · 377 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: $869
- bravo: $643
- delta: $353

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $156 from "tango" to "bravo"
2. pay $337 from "tango" to "delta"
3. pay $83 from "delta" to "bravo"
4. pay $81 from "delta" 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": "tango", "to": "bravo", "amount": 156}},
    {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 337}},
    {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 83}},
    {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 81}}
]

wrongagentic.tools.context-load-v1conf 100% · 141ms · $0.000 · 444 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 (213 records, format: id|customer|region|item|qty|status):
```
1587|birch|south|panel|85|paid
1823|harbor|south|cable|14|shipped
2118|gale|south|pump|18|shipped
2066|acme|east|pump|37|shipped
1887|cobalt|south|panel|84|shipped
1675|cobalt|south|valve|26|shipped
2105|juno|north|sensor|15|shipped
1738|acme|east|cable|39|held
1905|acme|west|sensor|53|shipped
2027|fulton|north|sensor|82|shipped
1774|birch|north|frame|39|pending
1684|ember|north|sensor|14|paid
1959|harbor|north|gasket|20|pending
1932|harbor|north|rotor|63|pending
1372|fulton|west|pump|34|pending
1550|harbor|west|gasket|99|shipped
1965|birch|south|cable|63|held
1984|acme|east|pump|74|shipped
1476|dorian|north|gasket|93|pending
2043|birch|north|sensor|43|shipped
1545|juno|east|gasket|63|held
1875|gale|south|panel|72|shipped
2126|juno|south|panel|65|paid
2138|birch|north|frame|67|pending
1939|dorian|south|sensor|92|held
1539|cobalt|south|valve|34|held
1848|cobalt|south|pump|60|held
1760|cobalt|south|cable|15|pending
2003|gale|west|sensor|13|pending
1858|harbor|west|sensor|51|pending
1976|cobalt|north|gasket|36|shipped
1770|birch|east|sensor|41|paid
1445|ember|west|frame|90|shipped
2188|fulton|east|frame|14|paid
1368|acme|east|sensor|72|paid
1626|juno|west|gasket|75|paid
1494|juno|west|sensor|98|held
1556|fulton|south|frame|97|pending
1435|ionic|north|frame|19|shipped
2032|gale|south|cable|41|pending
1501|birch|south|valve|52|pending
2117|harbor|west|pump|40|held
1990|juno|east|cable|40|paid
1850|dorian|west|gasket|53|pending
1342|birch|north|cable|15|pending
1765|acme|east|pump|26|pending
1474|acme|west|gasket|63|pending
1813|birch|north|gasket|88|held
1596|acme|east|pump|87|pending
2101|juno|west|frame|38|pending
1452|dorian|south|rotor|96|held
1478|fulton|east|cable|73|pending
1570|juno|south|rotor|97|shipped
1909|juno|east|sensor|69|shipped
2056|juno|south|panel|73|shipped
1636|fulton|east|panel|65|held
1489|cobalt|east|cable|59|pending
1795|ember|north|cable|88|pending
1796|fulton|south|gasket|91|held
1758|juno|north|pump|24|pending
2133|birch|west|frame|42|paid
1442|ember|east|rotor|37|held
1771|cobalt|west|valve|90|pending
1864|ember|south|rotor|90|paid
2080|acme|east|cable|65|pending
1919|acme|north|frame|91|paid
1532|ionic|north|cable|85|paid
1412|birch|east|panel|34|paid
1562|cobalt|west|sensor|34|shipped
1503|harbor|east|rotor|54|held
1358|birch|north|pump|54|pending
1349|birch|east|rotor|18|shipped
1819|gale|south|sensor|73|pending
1882|birch|south|sensor|22|pending
1659|fulton|east|frame|21|pending
1748|cobalt|north|cable|81|pending
1677|harbor|north|valve|88|held
1866|dorian|north|frame|26|pending
1577|cobalt|west|rotor|46|shipped
1468|cobalt|south|panel|27|shipped
2083|ionic|west|sensor|52|pending
1829|dorian|south|rotor|21|pending
1696|acme|south|valve|37|shipped
1396|dorian|south|pump|41|held
1857|gale|north|gasket|97|paid
1880|birch|east|cable|33|paid
1632|harbor|west|valve|66|held
2077|acme|east|valve|73|held
1341|birch|east|sensor|16|pending
1678|dorian|south|pump|88|paid
1506|acme|south|pump|19|paid
2044|dorian|east|gasket|78|held
1753|ember|north|rotor|53|shipped
1741|juno|east|gasket|22|shipped
1367|gale|west|frame|20|held
1407|cobalt|north|valve|83|paid
1996|harbor|south|sensor|41|paid
1985|acme|south|gasket|15|paid
1642|birch|west|valve|89|pending
1516|cobalt|west|panel|98|paid
1836|acme|north|cable|79|pending
1879|juno|east|panel|29|pending
1925|ember|north|sensor|74|pending
1947|harbor|west|gasket|56|paid
2172|ember|east|panel|56|shipped
1977|juno|east|panel|99|paid
1910|cobalt|north|cable|45|held
2145|fulton|west|panel|42|pending
2021|gale|west|valve|59|shipped
1725|birch|west|valve|32|held
2060|acme|north|pump|85|pending
1719|birch|east|sensor|22|pending
1890|fulton|east|rotor|40|shipped
1374|birch|north|frame|24|shipped
1859|acme|west|cable|13|pending
1449|cobalt|west|sensor|29|pending
1691|harbor|east|sensor|48|paid
2110|fulton|east|cable|87|pending
1363|birch|east|cable|46|shipped
1871|cobalt|west|pump|37|paid
1739|fulton|south|frame|80|held
1669|cobalt|south|rotor|89|pending
1563|cobalt|south|sensor|96|shipped
2050|birch|east|rotor|77|pending
1584|cobalt|north|gasket|46|shipped
1681|ionic|east|valve|40|shipped
1822|gale|north|gasket|61|pending
1458|acme|south|panel|32|pending
1464|juno|north|gasket|34|paid
1484|juno|east|gasket|77|paid
1416|ember|north|panel|45|paid
2165|acme|west|cable|14|held
1607|juno|north|gasket|94|shipped
2181|fulton|south|gasket|60|paid
1781|dorian|east|valve|25|paid
1454|ember|west|pump|86|paid
1604|fulton|north|cable|16|pending
2174|harbor|north|sensor|90|shipped
2119|birch|south|panel|39|shipped
1601|ionic|south|valve|34|pending
1401|juno|east|valve|54|held
1992|ember|east|frame|73|held
1815|acme|west|sensor|17|paid
1972|ember|east|valve|30|paid
1673|dorian|north|pump|40|paid
1581|juno|north|valve|30|shipped
1520|ember|west|frame|94|paid
2037|birch|east|gasket|84|paid
2087|cobalt|west|valve|77|paid
2010|birch|south|panel|65|pending
2046|birch|north|cable|19|pending
2151|gale|west|pump|10|pending
1708|acme|west|sensor|12|held
1954|birch|east|sensor|75|pending
1898|cobalt|north|frame|99|shipped
1378|acme|east|panel|56|held
1702|ionic|west|rotor|31|held
1733|acme|north|frame|14|paid
1841|fulton|north|rotor|13|held
1351|birch|east|sensor|68|pending
2194|dorian|south|pump|34|shipped
1804|fulton|south|cable|86|shipped
1428|gale|east|rotor|49|pending
1507|harbor|west|pump|57|paid
1586|juno|north|panel|35|shipped
1389|gale|south|panel|28|pending
1895|dorian|north|cable|90|held
1613|birch|north|sensor|20|pending
1785|juno|west|cable|34|shipped
2122|gale|south|panel|10|held
1606|gale|south|valve|93|paid
2160|cobalt|south|pump|71|held
1715|birch|north|rotor|15|shipped
2157|ember|south|panel|84|pending
1594|birch|north|sensor|11|paid
1807|cobalt|north|valve|21|paid
1649|ionic|south|cable|97|paid
1912|dorian|west|pump|14|shipped
2082|ember|south|sensor|13|shipped
1424|birch|west|frame|10|pending
1837|juno|south|gasket|41|held
2072|juno|east|pump|32|paid
1408|harbor|south|valve|83|shipped
1382|birch|north|sensor|85|held
2094|acme|east|valve|65|paid
1975|dorian|east|cable|67|pending
1331|birch|south|cable|86|pending
2026|juno|east|pump|69|paid
1876|acme|south|panel|98|shipped
2175|harbor|west|frame|58|held
1652|ember|east|cable|90|shipped
1527|juno|west|rotor|28|pending
2016|acme|east|panel|22|paid
1665|fulton|north|sensor|83|shipped
1884|fulton|south|gasket|88|held
1945|ember|west|gasket|21|paid
1706|acme|east|cable|49|shipped
1499|juno|west|panel|56|held
1726|acme|north|sensor|60|pending
1509|birch|south|cable|42|paid
1418|juno|west|cable|55|pending
1335|birch|east|sensor|97|shipped
1572|dorian|south|rotor|42|pending
1791|cobalt|north|sensor|20|shipped
1732|ionic|west|valve|86|shipped
1364|fulton|north|cable|89|shipped
2099|juno|east|rotor|34|pending
2070|harbor|east|frame|72|shipped
1603|birch|east|sensor|22|shipped
1620|birch|south|gasket|50|held
1800|acme|south|sensor|28|held
1330|birch|east|sensor|68|pending
1873|juno|east|sensor|53|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "east" 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": 1773}},
    {"tool": "cancel_order", "args": {"order_id": 1897}},
    {"tool": "cancel_order", "args": {"order_id": 1991}}
]

wrongagentic.tools.triage-v1conf 100% · 113ms · $0.000 · 248 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → rivera
- infra → okafor
- auth → tanaka

INCIDENTS:
1. "refund double-charged" (category: payments, priority 9)
2. "webhooks not delivered" (category: infra, priority 7)
3. "SSO loop on login" (category: auth, priority 4)
4. "refund double-charged" (category: payments, 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": "refund double-charged", "priority": 9}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 7}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
    {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]

wrongagentic.tools.deploy-v1conf 100% · 154ms · $0.000 · 99 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: (none)
- reports: billing
- gateway: billing, reports
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

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

model answer:

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

wrongagentic.tools.ledger-v1conf 100% · 142ms · $0.000 · 160 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: $850
- lima: $433
- kilo: $180

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $399 from "kilo" to "oscar"
2. pay $145 from "kilo" to "oscar"
3. pay $281 from "oscar" to "kilo"
4. pay $476 from "kilo" 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": "kilo", "to": "oscar", "amount": 399}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 145}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 281}},
    {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 251}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 476}}
]

correctagentic.tools.triage-v1conf 100% · 258ms · $0.000 · 201 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 → rivera
- infra → okafor

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 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": "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": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}
]

wrongagentic.tools.context-load-v1conf 100% · 115ms · $0.000 · 123 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 (300 records, format: id|customer|region|item|qty|status):
```
1990|acme|west|valve|48|shipped
2188|juno|south|sensor|13|held
2271|gale|west|valve|80|held
2099|fulton|south|cable|36|pending
1607|gale|east|rotor|44|paid
1423|cobalt|south|sensor|55|shipped
1881|fulton|south|frame|24|held
2207|fulton|north|frame|85|pending
1373|cobalt|south|frame|39|shipped
1343|dorian|south|pump|49|held
1762|gale|south|cable|30|shipped
1279|fulton|west|pump|60|paid
1520|harbor|east|sensor|15|shipped
1987|fulton|east|rotor|90|pending
2257|harbor|east|frame|26|paid
1574|gale|west|pump|29|shipped
1244|fulton|west|pump|44|shipped
2181|ionic|north|frame|29|held
1565|ember|west|pump|50|paid
1840|birch|north|frame|71|pending
1463|harbor|north|sensor|10|paid
1371|harbor|west|rotor|54|paid
2302|birch|east|cable|56|shipped
2091|dorian|south|valve|29|pending
1611|ember|north|rotor|33|held
2237|ember|west|sensor|28|pending
2125|ionic|south|gasket|87|shipped
1667|ember|east|pump|93|pending
2074|birch|west|sensor|59|shipped
1424|ember|west|frame|57|paid
1896|harbor|south|panel|79|pending
1510|ember|east|pump|88|shipped
2136|ionic|south|cable|78|pending
1361|ember|west|pump|81|shipped
1604|dorian|west|sensor|31|pending
1982|harbor|east|rotor|67|paid
1403|acme|west|frame|78|pending
2322|cobalt|south|panel|36|held
1436|acme|north|pump|91|pending
1452|gale|north|sensor|45|held
2198|birch|east|panel|93|paid
1623|dorian|west|gasket|40|pending
1650|ember|north|panel|12|held
1350|birch|south|rotor|10|pending
2261|ionic|west|rotor|61|shipped
1999|acme|east|gasket|22|paid
2230|fulton|north|pump|44|pending
1935|dorian|south|valve|63|shipped
2041|ionic|west|panel|50|held
1996|gale|east|gasket|57|shipped
2175|ember|south|frame|57|pending
1446|ionic|south|rotor|28|shipped
2193|birch|north|rotor|93|held
2212|ionic|west|panel|48|pending
1916|fulton|south|panel|22|pending
2294|cobalt|east|pump|73|shipped
1317|gale|west|gasket|98|paid
1521|ember|east|pump|18|held
1729|juno|north|pump|65|paid
1812|gale|south|panel|58|held
1365|acme|east|pump|51|shipped
1975|dorian|north|valve|93|held
1362|juno|west|pump|18|pending
1356|ember|east|panel|64|shipped
1944|acme|south|pump|72|shipped
1227|fulton|west|frame|77|pending
1433|dorian|west|valve|87|pending
1506|harbor|east|gasket|51|pending
1835|acme|north|panel|57|held
1330|ionic|south|pump|62|shipped
2312|juno|south|pump|53|held
1709|harbor|west|frame|54|shipped
1939|juno|north|frame|12|paid
2251|fulton|east|gasket|22|paid
1652|juno|north|cable|36|pending
2282|acme|north|valve|16|paid
1743|birch|east|gasket|22|shipped
1231|fulton|north|valve|55|pending
1700|acme|west|sensor|34|paid
2224|harbor|west|panel|16|paid
1736|cobalt|east|valve|66|shipped
2062|fulton|east|valve|12|held
1563|birch|north|frame|57|held
1793|harbor|south|cable|71|shipped
1292|dorian|north|panel|34|held
2371|juno|west|cable|46|pending
2142|harbor|west|cable|88|held
1724|acme|west|panel|91|held
1751|cobalt|west|pump|89|held
2012|juno|south|rotor|98|pending
1265|dorian|north|frame|79|pending
1806|cobalt|south|cable|55|shipped
1625|fulton|west|valve|19|held
1585|juno|north|cable|23|shipped
1310|fulton|north|sensor|85|held
1273|ember|west|rotor|34|pending
1711|ionic|south|sensor|36|shipped
2362|acme|south|panel|55|shipped
1637|juno|south|cable|51|shipped
1717|juno|west|sensor|65|pending
2268|birch|south|rotor|63|shipped
1658|harbor|north|cable|18|pending
1955|ionic|east|panel|15|held
1327|acme|north|pump|58|shipped
2374|cobalt|south|valve|68|held
1266|ionic|north|rotor|57|shipped
1467|birch|north|cable|74|paid
1302|ember|north|sensor|64|pending
1522|juno|north|sensor|77|shipped
2366|juno|south|valve|96|pending
1408|ionic|north|valve|50|pending
2121|cobalt|east|frame|69|pending
2380|fulton|south|gasket|92|paid
1553|ionic|south|cable|72|shipped
2368|juno|south|gasket|12|held
1335|harbor|south|valve|55|pending
2211|juno|north|sensor|62|paid
1528|ember|east|rotor|63|paid
1591|ionic|north|cable|92|paid
1679|ember|east|valve|24|shipped
1922|ember|south|sensor|10|paid
1869|fulton|west|valve|96|shipped
1803|cobalt|west|frame|98|pending
1772|acme|east|pump|66|shipped
2145|juno|south|cable|32|shipped
1490|dorian|south|gasket|17|shipped
2285|cobalt|north|pump|90|held
1780|ember|west|cable|91|shipped
1692|acme|south|pump|10|held
2129|juno|east|panel|16|held
2192|birch|east|pump|88|shipped
2264|fulton|north|pump|41|shipped
1977|gale|west|cable|59|pending
1915|ionic|east|panel|60|paid
1852|ember|south|rotor|65|shipped
1242|fulton|east|rotor|85|pending
1902|ionic|east|cable|52|held
1796|dorian|south|rotor|71|paid
2067|cobalt|south|frame|10|held
1381|harbor|west|cable|71|held
2164|juno|north|sensor|40|pending
2306|fulton|north|gasket|53|shipped
2244|ionic|east|pump|51|held
1342|acme|west|panel|23|shipped
1664|fulton|north|panel|26|shipped
2348|fulton|north|sensor|42|paid
2015|cobalt|west|valve|26|paid
2267|harbor|north|panel|87|paid
1482|acme|west|panel|72|shipped
2021|gale|north|gasket|96|shipped
2231|acme|east|sensor|19|shipped
1474|acme|east|frame|46|held
1487|cobalt|south|pump|69|shipped
1557|fulton|north|sensor|29|shipped
2158|harbor|north|panel|45|held
2043|cobalt|south|frame|58|shipped
2337|harbor|west|gasket|64|held
1926|cobalt|east|pump|81|shipped
1537|ionic|south|gasket|94|held
2111|ionic|south|pump|70|pending
1847|ionic|north|panel|11|paid
2139|dorian|south|valve|68|pending
1298|birch|east|pump|67|held
1539|harbor|west|gasket|84|held
1823|ionic|south|pump|39|shipped
1858|harbor|east|valve|18|held
1447|ember|north|pump|30|shipped
1614|ionic|east|gasket|10|shipped
2245|harbor|south|frame|34|paid
2037|birch|east|panel|69|pending
1392|fulton|north|sensor|94|paid
2287|fulton|south|panel|99|shipped
2156|cobalt|west|gasket|44|paid
1458|fulton|north|frame|32|pending
2051|acme|north|valve|91|paid
1324|gale|north|gasket|42|pending
2315|harbor|south|valve|74|paid
1687|ionic|east|rotor|99|held
1839|juno|west|pump|87|shipped
1626|harbor|east|gasket|25|held
2081|acme|east|panel|27|shipped
2028|cobalt|north|panel|73|held
1748|juno|south|rotor|37|pending
1767|acme|west|cable|77|shipped
1950|ionic|south|frame|10|paid
1293|acme|west|panel|45|shipped
1906|harbor|west|valve|26|held
2356|ionic|south|pump|96|paid
1514|ionic|west|sensor|98|shipped
1933|cobalt|north|gasket|99|paid
1267|ionic|west|panel|96|paid
1414|juno|east|valve|61|held
1873|ionic|south|panel|60|held
2177|ember|north|sensor|92|paid
1814|acme|north|sensor|13|held
2087|ember|west|gasket|34|paid
2107|dorian|north|gasket|41|paid
2055|fulton|south|cable|44|paid
2298|cobalt|north|pump|56|paid
1374|juno|west|valve|31|paid
1848|dorian|west|valve|23|pending
2128|dorian|east|sensor|22|pending
1739|birch|north|valve|30|pending
1435|dorian|west|frame|12|shipped
1807|gale|south|frame|56|shipped
2236|fulton|north|sensor|57|shipped
2075|ember|south|gasket|71|paid
1696|acme|north|panel|25|pending
2044|dorian|north|panel|39|held
2114|acme|east|rotor|71|held
1891|cobalt|north|panel|82|pending
1569|juno|west|frame|74|pending
1635|harbor|south|gasket|45|paid
2342|fulton|north|gasket|70|paid
1865|birch|south|valve|42|shipped
1757|dorian|south|panel|18|pending
1961|ember|west|pump|28|shipped
2243|harbor|north|rotor|25|paid
2218|gale|west|rotor|75|shipped
1580|ionic|west|rotor|88|pending
1286|acme|east|frame|21|shipped
2275|acme|west|panel|73|held
2203|juno|south|frame|82|shipped
1232|fulton|west|valve|11|shipped
2176|cobalt|west|valve|14|pending
1818|harbor|west|gasket|56|pending
1930|gale|south|valve|25|paid
1683|cobalt|east|panel|60|held
2214|cobalt|north|gasket|60|held
1674|ember|north|gasket|60|paid
1682|acme|south|gasket|85|held
1535|cobalt|north|gasket|94|paid
1500|acme|north|sensor|75|shipped
1875|gale|north|rotor|93|shipped
1775|gale|north|rotor|62|paid
1588|birch|north|rotor|97|held
1258|harbor|east|valve|97|held
1308|acme|east|panel|58|paid
1418|acme|south|pump|83|held
1866|gale|south|gasket|97|held
1828|ember|south|sensor|80|shipped
2338|acme|west|pump|73|pending
1494|fulton|south|gasket|15|paid
2018|fulton|south|cable|24|paid
1643|acme|south|cable|46|shipped
2331|ember|west|rotor|14|paid
2054|birch|east|pump|59|held
1367|acme|north|valve|81|paid
1235|fulton|west|sensor|76|pending
1442|gale|south|cable|42|held
1912|gale|east|pump|68|held
2109|juno|west|valve|58|paid
1320|ember|south|sensor|12|held
1250|fulton|south|valve|76|pending
2324|ember|north|frame|31|held
2112|cobalt|east|gasket|49|held
1686|acme|north|valve|38|pending
1247|fulton|west|pump|22|pending
2141|dorian|east|frame|81|paid
1888|ionic|west|panel|56|shipped
1932|ionic|south|gasket|15|paid
2093|cobalt|west|cable|40|shipped
1927|acme|west|valve|17|shipped
1503|ionic|south|pump|61|shipped
1907|gale|east|pump|38|pending
2355|ionic|west|pump|69|pending
1256|fulton|west|sensor|65|shipped
2105|juno|east|frame|43|shipped
1584|gale|south|sensor|58|shipped
1476|ionic|north|panel|49|shipped
2033|dorian|west|sensor|43|held
2006|ionic|west|frame|55|paid
1629|fulton|east|cable|21|shipped
1899|fulton|east|sensor|59|held
1269|acme|west|rotor|58|held
2168|acme|north|panel|14|held
1886|ionic|west|sensor|60|shipped
1396|gale|east|frame|47|paid
1598|gale|east|rotor|89|pending
1786|ionic|east|valve|27|held
1760|ionic|south|sensor|48|shipped
2234|fulton|east|pump|57|held
1621|gale|south|pump|41|shipped
1597|ember|south|sensor|49|shipped
1428|harbor|north|pump|38|pending
1564|ionic|south|sensor|80|paid
1779|gale|north|pump|89|held
1868|ember|east|valve|25|shipped
2152|fulton|east|panel|31|held
1702|ember|west|sensor|19|pending
1495|cobalt|south|panel|96|shipped
1501|ionic|west|rotor|50|paid
1546|gale|east|panel|91|held
1919|fulton|east|valve|28|pending
1388|juno|east|frame|61|held
1968|acme|west|valve|35|shipped
2375|ember|north|valve|11|held
1668|ionic|east|rotor|64|paid
1599|harbor|west|valve|35|held
1406|ionic|west|panel|24|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, 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": 1273}},
    {"tool": "cancel_order", "args": {"order_id": 1227}},
    {"tool": "restock", "args": {"item": "pump", "qty": 60}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 85}},
    {"tool": "restock", "args": {"item": "valve", "qty": 12}}
]

wrongagentic.tools.deploy-v1conf 100% · 104ms · $0.000 · 100 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: reports
- billing: auth-svc, reports
- reports: (none)
- auth-svc: reports

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

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

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

model answer:

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

wrongagentic.tools.ledger-v1conf 100% · 316ms · $0.000 · 160 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: $327
- bravo: $514
- oscar: $350

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $325 from "tango" to "oscar"
2. pay $285 from "bravo" to "tango"
3. pay $230 from "tango" to "oscar"
4. pay $455 from "bravo" to "oscar"

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

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

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

model answer:

[
    {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 325}},
    {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 285}},
    {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 230}},
    {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 41}},
    {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 455}}
]

correctagentic.tools.triage-v1conf 100% · 121ms · $0.000 · 178 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → rivera
- auth → chen
- data → novak

INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "refund double-charged" (category: payments, priority 7)
3. "records missing after import" (category: data, priority 7)

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

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

model answer:

[
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 7}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}}
]

correctagentic.tools.deploy-v1conf 100% · 158ms · $0.000 · 152 tok

question

You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: auth-svc
- search: auth-svc, reports
- gateway: auth-svc
- auth-svc: (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 "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": "auth-svc"}},
    {"tool": "deploy", "args": {"service": "gateway"}},
    {"tool": "health_check", "args": {"service": "gateway"}},
    {"tool": "deploy", "args": {"service": "reports"}},
    {"tool": "deploy", "args": {"service": "search"}}
]

wrongagentic.tools.ledger-v1conf 100% · 128ms · $0.000 · 160 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: $787
- tango: $633
- kilo: $866

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $428 from "lima" to "kilo"
2. pay $207 from "lima" to "tango"
3. pay $122 from "kilo" to "lima"
4. pay $413 from "lima" to "kilo"

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

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

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

model answer:

[
    {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 428}},
    {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 207}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 122}},
    {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 82}},
    {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 413}}
]

correctagentic.tools.triage-v1conf 100% · 122ms · $0.000 · 220 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 → silva
- auth → dubois
- payments → tanaka

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 8)
2. "uploads failing intermittently" (category: infra, priority 8)
3. "refund double-charged" (category: payments, priority 8)

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

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

model answer:

[
    {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
    {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 8}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}
]

wrongagentic.tools.context-load-v1conf 100% · 112ms · $0.000 · 175 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 (258 records, format: id|customer|region|item|qty|status):
```
1681|ionic|north|valve|89|paid
1553|fulton|east|sensor|15|paid
1799|harbor|north|frame|31|pending
1648|gale|north|panel|89|held
1960|gale|east|panel|67|shipped
1880|dorian|north|panel|44|held
2046|ember|west|sensor|83|paid
2233|gale|west|frame|46|held
2205|juno|east|cable|31|paid
2247|dorian|east|rotor|82|held
1949|cobalt|south|pump|17|pending
1245|ember|north|sensor|16|pending
1339|ember|west|frame|47|shipped
1860|birch|south|cable|66|shipped
2199|fulton|west|cable|70|paid
1966|fulton|east|gasket|84|pending
1349|juno|west|valve|58|shipped
2019|juno|south|cable|64|paid
1461|cobalt|south|pump|23|pending
1903|fulton|north|pump|27|paid
1704|dorian|north|rotor|57|paid
2237|cobalt|east|valve|14|held
2164|ember|north|rotor|20|shipped
1786|acme|north|sensor|16|shipped
1590|ionic|west|gasket|97|pending
1709|gale|east|panel|84|paid
1566|cobalt|east|pump|24|shipped
2013|ember|east|panel|19|held
1993|harbor|north|panel|61|shipped
1768|fulton|west|gasket|55|paid
1580|dorian|north|panel|23|held
1670|ionic|east|frame|68|pending
1930|juno|west|sensor|23|pending
1715|dorian|east|cable|27|shipped
1772|gale|west|rotor|65|shipped
1845|harbor|west|rotor|65|shipped
2070|acme|south|frame|81|held
1849|juno|east|panel|22|paid
1496|dorian|east|rotor|61|paid
2213|ionic|east|panel|62|pending
2204|cobalt|east|rotor|36|pending
1961|fulton|south|sensor|18|pending
1725|dorian|south|rotor|68|paid
1803|gale|east|sensor|36|shipped
2024|gale|north|gasket|70|shipped
1464|ionic|north|sensor|59|shipped
1740|acme|west|gasket|37|shipped
1361|harbor|east|pump|73|shipped
2222|birch|south|pump|20|paid
2229|harbor|west|pump|68|pending
1871|ionic|west|rotor|39|shipped
1594|ember|north|rotor|75|shipped
1400|birch|west|sensor|73|held
1385|gale|north|gasket|30|paid
1739|ember|south|rotor|46|pending
1395|acme|south|panel|95|pending
1634|acme|east|gasket|39|pending
1983|dorian|south|sensor|10|paid
1962|cobalt|west|pump|20|shipped
1976|harbor|south|sensor|63|held
2146|dorian|west|cable|69|paid
2274|birch|east|rotor|52|pending
2267|gale|north|cable|62|pending
1659|juno|east|frame|69|shipped
1632|cobalt|south|panel|26|pending
1795|cobalt|north|valve|99|shipped
2126|cobalt|north|panel|10|held
1599|cobalt|north|pump|25|pending
1858|acme|east|valve|88|pending
1716|juno|south|panel|16|shipped
1268|ember|east|frame|99|pending
1897|dorian|east|rotor|84|held
1652|ember|west|cable|17|paid
1644|cobalt|west|valve|68|shipped
1354|ionic|east|gasket|28|shipped
2231|ember|west|gasket|72|held
1630|ember|south|valve|49|paid
2212|gale|west|gasket|73|paid
1510|acme|south|gasket|65|shipped
2038|juno|south|gasket|65|pending
1298|ionic|south|panel|52|held
1532|cobalt|north|gasket|12|pending
1420|birch|west|gasket|95|pending
1278|ember|east|gasket|48|pending
1764|dorian|north|gasket|14|paid
1887|birch|south|valve|72|paid
2227|acme|west|frame|90|paid
2243|ember|west|frame|93|shipped
1934|gale|north|valve|93|paid
1732|acme|east|gasket|83|paid
1345|gale|north|panel|56|pending
1261|ember|south|pump|76|pending
1699|gale|south|gasket|67|paid
2264|juno|south|panel|26|shipped
1911|acme|north|panel|97|paid
1810|juno|north|cable|84|pending
1292|cobalt|south|sensor|99|held
1607|acme|north|sensor|23|paid
2139|birch|east|sensor|36|paid
2074|acme|north|cable|22|pending
1257|ember|north|panel|95|pending
1755|harbor|west|pump|50|paid
1372|harbor|north|rotor|33|held
1484|juno|south|gasket|55|pending
2063|juno|south|sensor|31|held
1610|birch|south|frame|31|held
1536|fulton|east|gasket|98|shipped
2058|birch|north|valve|70|paid
1303|ember|east|sensor|63|shipped
1281|ember|north|sensor|10|shipped
1816|fulton|north|pump|56|paid
1445|juno|north|cable|17|shipped
1407|dorian|east|valve|82|paid
1426|gale|west|rotor|52|shipped
2170|acme|south|rotor|73|shipped
1977|fulton|north|valve|98|shipped
1265|ember|north|gasket|64|shipped
1491|fulton|east|rotor|39|held
1834|acme|north|cable|42|paid
1367|cobalt|south|cable|32|pending
1769|ionic|south|valve|49|shipped
1571|acme|west|rotor|73|pending
1945|ionic|east|valve|60|held
2104|fulton|north|panel|86|paid
1942|harbor|east|panel|75|shipped
1939|gale|east|gasket|65|paid
1305|acme|north|frame|84|pending
1628|juno|east|valve|40|pending
2037|fulton|east|sensor|46|pending
1771|gale|north|rotor|82|pending
2163|gale|north|cable|87|shipped
1374|dorian|north|sensor|77|pending
1646|cobalt|east|valve|82|shipped
1593|harbor|west|sensor|64|paid
1434|dorian|west|gasket|49|held
1287|ionic|west|gasket|69|pending
2181|ember|south|cable|16|pending
1252|ember|north|sensor|74|shipped
1513|ionic|south|valve|13|held
1748|ionic|west|rotor|49|paid
1388|ionic|north|cable|49|held
1779|fulton|west|pump|24|shipped
2112|juno|north|gasket|52|pending
2079|fulton|north|gasket|10|held
1696|fulton|east|valve|87|pending
2245|gale|south|cable|52|shipped
2092|acme|west|sensor|18|paid
2040|harbor|north|pump|20|paid
2159|juno|east|valve|96|pending
1522|dorian|north|gasket|18|pending
1660|ionic|north|panel|53|paid
2002|acme|east|cable|91|held
2098|ionic|north|valve|62|shipped
1821|harbor|north|panel|76|pending
2193|cobalt|west|frame|67|paid
2152|fulton|east|rotor|75|held
1452|dorian|west|gasket|92|shipped
2176|juno|west|cable|27|held
1334|harbor|west|sensor|54|pending
2188|fulton|north|panel|85|held
1519|ember|south|valve|52|shipped
1341|harbor|south|pump|56|shipped
1797|harbor|west|cable|42|paid
1663|cobalt|south|cable|83|paid
1428|ionic|south|pump|27|pending
2223|acme|south|pump|47|shipped
1525|dorian|west|valve|84|pending
2030|gale|west|rotor|56|held
1813|juno|south|pump|33|shipped
1418|dorian|south|frame|79|shipped
1623|dorian|west|pump|12|pending
1685|cobalt|west|cable|50|shipped
1538|ionic|east|valve|72|paid
1505|ember|north|valve|65|paid
2253|cobalt|south|panel|87|held
2086|gale|east|sensor|40|shipped
1312|ionic|south|valve|55|pending
2021|cobalt|east|gasket|25|paid
1391|ember|east|pump|18|pending
1307|fulton|east|pump|31|shipped
1971|ionic|east|gasket|42|paid
1865|cobalt|west|valve|34|pending
2007|acme|west|gasket|15|held
1269|ember|north|pump|99|paid
1600|ionic|south|pump|97|paid
1878|fulton|north|pump|46|paid
1741|acme|north|pump|86|paid
1918|ember|north|rotor|40|paid
1987|birch|south|panel|53|shipped
1441|ionic|south|gasket|94|paid
1587|dorian|west|valve|21|pending
1674|acme|south|cable|33|held
1499|cobalt|south|gasket|75|pending
1614|ember|south|valve|63|held
1818|fulton|east|frame|64|pending
1790|cobalt|north|frame|32|shipped
1684|acme|east|sensor|50|held
2051|gale|south|gasket|22|pending
1856|juno|east|cable|19|held
2157|cobalt|north|panel|61|pending
1564|dorian|east|valve|21|held
1276|ember|north|rotor|73|pending
1984|dorian|south|frame|14|pending
1550|cobalt|north|rotor|90|held
1619|dorian|north|sensor|32|shipped
2260|juno|east|cable|87|held
1543|cobalt|north|frame|21|pending
2116|cobalt|south|frame|26|pending
1456|fulton|west|pump|89|paid
1828|acme|west|gasket|56|shipped
1718|harbor|south|frame|79|held
2108|cobalt|west|cable|33|shipped
1330|acme|north|pump|83|paid
1362|juno|south|frame|74|shipped
2060|fulton|south|panel|39|shipped
1701|birch|east|pump|47|pending
1267|ember|north|cable|66|pending
2145|cobalt|west|cable|29|paid
1904|ember|south|frame|32|shipped
1478|cobalt|north|frame|69|held
1378|birch|west|frame|97|paid
2133|acme|east|sensor|82|pending
1514|juno|south|cable|75|pending
1314|dorian|north|sensor|44|paid
2011|harbor|north|valve|87|shipped
1414|ember|west|sensor|65|held
2123|ember|west|cable|92|held
2174|birch|west|gasket|90|shipped
2109|fulton|west|panel|81|shipped
1487|birch|south|cable|37|held
1444|fulton|south|gasket|45|paid
1403|birch|north|frame|50|held
1286|ember|south|cable|60|pending
1572|acme|north|sensor|59|paid
1640|dorian|east|rotor|39|paid
1776|harbor|south|pump|98|pending
1838|birch|south|frame|27|pending
1957|acme|north|cable|60|paid
1557|birch|east|sensor|13|shipped
1894|cobalt|south|panel|32|paid
2023|gale|west|pump|15|held
1996|gale|north|panel|71|paid
1326|fulton|north|pump|89|shipped
1320|fulton|west|panel|49|held
1523|juno|east|valve|50|shipped
1924|gale|west|panel|71|held
1952|acme|west|pump|45|held
1577|harbor|south|panel|41|held
1690|juno|north|panel|51|shipped
2216|juno|west|rotor|63|shipped
1781|fulton|east|frame|54|pending
1968|acme|west|valve|20|held
1626|birch|north|valve|82|paid
1471|ionic|north|panel|25|held
2008|birch|west|frame|44|held
1758|juno|north|sensor|84|paid
1829|dorian|east|cable|14|held
1250|ember|east|cable|71|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, 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": 1245}},
    {"tool": "restock", "args": {"item": "rotor", "qty": 20}},
    {"tool": "restock", "args": {"item": "cable", "qty": 17}},
    {"tool": "restock", "args": {"item": "gasket", "qty": 55}},
    {"tool": "restock", "args": {"item": "panel", "qty": 19}},
    {"tool": "restock", "args": {"item": "valve", "qty": 10}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 10}}
]

wrongagentic.tools.context-load-v1conf 100% · 119ms · $0.000 · 590 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 (239 records, format: id|customer|region|item|qty|status):
```
1944|cobalt|west|cable|39|pending
1127|ember|north|gasket|69|shipped
1555|dorian|north|rotor|38|paid
1743|juno|west|rotor|36|shipped
1650|dorian|north|gasket|22|paid
1233|harbor|west|gasket|35|shipped
1560|gale|west|cable|20|held
1916|juno|east|sensor|96|shipped
1090|ember|north|rotor|76|pending
1653|cobalt|west|valve|52|pending
2061|fulton|east|cable|43|shipped
1413|fulton|east|valve|22|pending
1150|fulton|east|pump|46|pending
2001|ionic|west|sensor|57|held
2010|juno|south|pump|58|shipped
1099|ember|north|panel|52|pending
1612|juno|east|valve|78|shipped
1292|acme|west|pump|48|paid
1615|fulton|east|panel|44|held
1119|ember|north|frame|60|pending
1327|dorian|west|frame|94|shipped
1661|ionic|north|valve|68|paid
1767|birch|west|rotor|98|pending
1604|gale|north|cable|62|pending
1286|ember|north|pump|74|paid
1121|ember|west|panel|46|pending
1773|ember|north|frame|95|pending
1458|ionic|south|valve|10|shipped
1853|fulton|west|rotor|93|paid
1902|cobalt|south|panel|87|paid
1194|juno|west|frame|51|held
1267|fulton|south|sensor|35|pending
1637|dorian|east|pump|66|shipped
1893|acme|north|pump|67|paid
1515|dorian|south|valve|56|shipped
2034|harbor|west|frame|26|held
1784|acme|south|sensor|19|held
1389|ionic|east|pump|15|held
1319|birch|west|pump|48|paid
1680|acme|west|valve|24|pending
1506|juno|east|panel|86|held
1314|fulton|north|cable|30|held
1943|ionic|south|frame|21|pending
1243|fulton|east|valve|25|pending
2042|juno|south|rotor|65|paid
1655|ember|north|cable|14|pending
1246|cobalt|west|sensor|31|pending
1336|ember|north|panel|85|pending
1940|birch|south|cable|83|paid
1819|gale|north|pump|32|paid
1711|gale|north|valve|55|paid
1954|dorian|south|valve|90|pending
1418|harbor|north|rotor|45|shipped
1186|ember|east|rotor|66|pending
1699|harbor|east|sensor|98|pending
2075|fulton|south|sensor|86|shipped
1875|harbor|north|frame|71|shipped
1805|dorian|west|frame|57|paid
1493|acme|west|frame|96|paid
1627|cobalt|west|panel|99|paid
1112|ember|north|panel|58|shipped
1776|birch|south|panel|25|pending
1400|birch|west|sensor|58|pending
1214|fulton|south|gasket|84|paid
1092|ember|north|valve|83|held
1952|juno|south|sensor|77|paid
1969|acme|east|valve|35|held
1311|ember|south|rotor|51|paid
1920|dorian|west|valve|19|paid
1105|ember|west|panel|45|pending
1861|gale|east|sensor|84|shipped
1732|ionic|east|frame|68|held
1672|gale|east|valve|47|shipped
1434|fulton|north|valve|77|shipped
1275|ember|west|valve|16|shipped
1232|harbor|west|gasket|60|paid
1350|cobalt|east|rotor|77|paid
1977|birch|south|panel|67|pending
1895|gale|east|pump|32|shipped
1566|harbor|east|rotor|20|paid
1906|dorian|east|frame|95|shipped
1762|acme|north|cable|11|shipped
1812|gale|north|sensor|78|pending
2017|juno|south|rotor|55|pending
1529|dorian|west|gasket|69|shipped
1654|fulton|east|sensor|86|pending
1601|birch|south|valve|39|shipped
1129|dorian|east|pump|90|pending
1507|cobalt|north|cable|18|pending
1631|cobalt|east|frame|56|pending
1846|gale|south|sensor|17|held
1343|juno|east|valve|83|pending
1487|cobalt|north|rotor|11|shipped
1299|birch|east|gasket|62|paid
1161|birch|east|sensor|40|held
1474|harbor|south|valve|62|shipped
1827|dorian|west|gasket|63|shipped
2012|fulton|south|rotor|44|held
1967|juno|south|rotor|33|held
1253|dorian|north|cable|72|held
1789|gale|east|valve|19|held
1758|ember|west|rotor|10|held
1992|harbor|north|panel|98|paid
1301|birch|south|valve|52|held
1522|birch|south|cable|12|shipped
1746|ionic|west|rotor|43|paid
1866|ionic|north|frame|28|held
1551|harbor|north|pump|78|held
1751|ionic|east|rotor|91|held
1995|acme|north|sensor|96|pending
1681|ember|north|frame|74|pending
1911|cobalt|west|panel|93|pending
1481|birch|north|sensor|12|pending
1441|gale|south|sensor|91|paid
1383|harbor|south|pump|34|paid
1278|harbor|west|rotor|50|paid
1741|fulton|east|rotor|87|shipped
2078|ember|east|frame|30|shipped
1838|acme|east|panel|59|shipped
1724|fulton|south|rotor|36|paid
1444|ember|east|pump|30|pending
1570|gale|north|gasket|82|held
2024|cobalt|north|rotor|61|shipped
1579|gale|north|frame|48|held
1891|birch|north|frame|82|paid
1582|gale|west|panel|69|shipped
2005|juno|north|panel|96|pending
1686|gale|east|valve|23|paid
1220|acme|north|pump|53|held
1135|acme|north|valve|73|paid
1189|acme|south|cable|14|shipped
1832|cobalt|west|pump|38|pending
1693|birch|west|frame|83|paid
2096|fulton|south|rotor|10|paid
1978|dorian|north|rotor|25|paid
1934|dorian|south|valve|76|pending
1571|birch|south|rotor|52|held
1542|cobalt|west|panel|23|shipped
1465|ember|north|cable|97|paid
1306|ember|north|pump|27|held
1840|ember|west|sensor|72|shipped
1800|fulton|west|valve|17|shipped
1872|juno|west|cable|65|paid
1885|ember|south|cable|13|shipped
2085|juno|south|pump|83|paid
1513|cobalt|west|gasket|62|held
1174|juno|north|cable|17|shipped
1395|fulton|east|rotor|76|held
1857|dorian|south|gasket|24|shipped
1140|fulton|south|pump|91|pending
1269|dorian|south|gasket|97|pending
1783|fulton|east|frame|96|paid
1430|acme|east|pump|95|held
1197|birch|east|panel|23|shipped
1822|acme|west|cable|57|pending
1136|acme|south|gasket|10|paid
1519|acme|south|frame|70|held
1679|juno|east|cable|51|paid
1644|harbor|east|gasket|82|held
1424|harbor|west|cable|66|held
2068|acme|west|pump|95|paid
1210|dorian|west|cable|94|shipped
1182|harbor|east|panel|63|paid
1146|ionic|south|panel|15|held
1234|acme|south|sensor|71|paid
1406|juno|west|rotor|18|paid
1718|cobalt|west|rotor|25|paid
1926|fulton|west|cable|94|pending
1200|birch|south|valve|95|pending
1332|gale|east|frame|99|held
2055|gale|south|gasket|52|paid
1156|fulton|west|sensor|41|shipped
1726|ember|west|sensor|69|pending
2083|juno|south|valve|84|held
1181|cobalt|west|valve|39|shipped
1960|fulton|south|pump|69|held
1091|ember|south|frame|16|pending
1836|cobalt|north|cable|70|pending
1397|birch|east|cable|21|shipped
1535|ionic|south|frame|14|held
1317|acme|west|panel|34|paid
1985|gale|east|frame|66|shipped
1549|juno|east|pump|37|shipped
1320|ionic|north|panel|49|shipped
1153|harbor|south|cable|34|pending
1705|birch|north|cable|82|held
1284|birch|north|cable|61|held
1335|juno|west|valve|76|held
1667|birch|east|cable|88|held
1831|juno|south|rotor|71|held
1928|cobalt|north|valve|96|shipped
1377|birch|west|panel|94|shipped
2090|dorian|west|rotor|71|pending
2029|ionic|east|frame|73|shipped
1594|ionic|east|pump|67|paid
1799|gale|north|panel|92|pending
1472|ember|south|rotor|29|held
1187|fulton|east|gasket|24|paid
1419|acme|west|cable|65|pending
1294|ember|east|rotor|29|held
1739|birch|west|sensor|80|paid
2048|fulton|south|frame|90|held
1622|cobalt|south|frame|23|pending
1505|cobalt|south|panel|55|pending
1408|ionic|west|valve|66|paid
1227|cobalt|north|panel|66|held
1804|ember|south|sensor|86|held
2049|dorian|west|rotor|78|shipped
1180|ember|west|valve|47|paid
1260|cobalt|east|pump|55|pending
1203|birch|west|panel|99|held
1500|birch|west|sensor|47|paid
1951|dorian|west|sensor|45|pending
1586|birch|north|cable|69|pending
1608|birch|west|pump|84|pending
1878|harbor|south|sensor|84|paid
1168|dorian|north|sensor|29|shipped
1998|fulton|south|sensor|94|held
1367|harbor|south|valve|13|shipped
1425|cobalt|south|pump|30|paid
1907|acme|west|frame|75|pending
1356|birch|west|valve|91|paid
1362|gale|north|sensor|68|paid
1462|cobalt|east|sensor|96|paid
2008|ionic|north|gasket|12|paid
1852|ember|south|cable|97|held
1796|cobalt|south|panel|31|pending
1344|ionic|south|frame|37|shipped
1791|ember|north|panel|59|shipped
1371|dorian|north|cable|70|shipped
1451|juno|west|valve|69|paid
1695|fulton|south|panel|79|pending
1241|acme|west|pump|93|pending
1588|dorian|east|gasket|68|shipped
1574|dorian|east|cable|56|held
1976|ember|east|gasket|63|held
2040|cobalt|west|gasket|94|paid
1438|acme|east|panel|68|paid
1716|dorian|east|panel|54|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "restock", "args": {"item": "rotor", "qty": 76}},
    {"tool": "cancel_order", "args": {"order_id": 1099}},
    {"tool": "cancel_order", "args": {"order_id": 1119}},
    {"tool": "cancel_order", "args": {"order_id": 1655}}
]

wrongagentic.tools.deploy-v1conf 100% · 119ms · $0.000 · 99 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: auth-svc
- search: auth-svc, gateway
- auth-svc: (none)
- gateway: auth-svc

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

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

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

model answer:

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

wrongagentic.tools.ledger-v1conf 100% · 403ms · $0.000 · 160 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: $203
- lima: $847
- oscar: $532

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $161 from "lima" to "oscar"
2. pay $97 from "kilo" to "lima"
3. pay $332 from "kilo" to "oscar"
4. pay $119 from "lima" to "oscar"

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

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

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

model answer:

[
    {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 161}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 97}},
    {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 235}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 332}},
    {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 119}}
]

correctagentic.tools.triage-v1conf 100% · 112ms · $0.000 · 252 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 → okafor
- data → dubois
- auth → silva

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 9)
2. "webhooks not delivered" (category: infra, priority 9)
3. "SSO loop on login" (category: auth, priority 4)
4. "API latency spikes" (category: infra, priority 7)

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

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

model answer:

[
    {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 9}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
    {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 9}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}},
    {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 7}},
    {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "okafor"}}
]

wrongagentic.tools.ledger-v1conf 100% · 127ms · $0.000 · 485 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: $431
- kilo: $187
- echo: $455

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $347 from "echo" to "kilo"
2. pay $220 from "kilo" to "echo"
3. pay $555 from "alpha" to "echo"
4. pay $264 from "alpha" to "kilo"
5. pay $266 from "kilo" to "alpha"

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

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

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

model answer:

[
    {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 347}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 220}},
    {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 555}},
    {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 264}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 266}}
]

correctagentic.tools.deploy-v1conf 100% · 123ms · $0.000 · 96 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

wrongagentic.tools.triage-v1conf 95% · 122ms · $0.000 · 173 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "records missing after import" (category: data, priority 7)
2. "uploads failing intermittently" (category: infra, priority 2)
3. "uploads failing intermittently" (category: infra, priority 2)

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

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

model answer:

[
    {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 7}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
    {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-3"}}
]

wrongagentic.tools.context-load-v1conf 100% · 167ms · $0.000 · 299 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 (170 records, format: id|customer|region|item|qty|status):
```
1795|acme|north|cable|71|shipped
1392|fulton|south|gasket|58|shipped
1873|cobalt|west|frame|94|paid
1321|dorian|east|frame|18|held
1372|gale|south|gasket|91|pending
1744|cobalt|east|cable|72|paid
1874|acme|west|panel|16|held
1415|harbor|east|sensor|28|paid
1494|acme|east|rotor|24|pending
1296|harbor|north|gasket|34|held
1276|gale|west|valve|10|shipped
1645|fulton|north|valve|76|paid
1261|birch|west|pump|63|pending
1316|cobalt|west|panel|74|shipped
1402|fulton|west|frame|52|held
1509|harbor|south|rotor|44|held
1446|ionic|north|pump|53|shipped
1270|birch|west|rotor|93|pending
1535|harbor|south|panel|79|pending
1574|cobalt|north|panel|92|pending
1387|fulton|west|pump|88|shipped
1532|ember|south|pump|38|held
1819|fulton|south|cable|35|pending
1754|gale|west|cable|45|paid
1752|fulton|east|cable|87|paid
1377|dorian|west|frame|96|held
1865|ember|west|gasket|85|paid
1789|fulton|north|valve|39|pending
1517|ionic|north|pump|77|pending
1610|birch|west|gasket|94|paid
1910|cobalt|east|cable|12|held
1741|cobalt|east|pump|10|paid
1594|gale|west|panel|62|shipped
1467|juno|north|valve|43|pending
1826|cobalt|north|gasket|50|shipped
1250|birch|west|panel|92|pending
1863|fulton|north|sensor|69|held
1365|harbor|west|rotor|40|shipped
1852|ionic|north|cable|82|held
1759|fulton|south|sensor|43|pending
1885|ember|east|gasket|17|held
1830|fulton|south|gasket|18|shipped
1302|dorian|north|rotor|23|pending
1738|juno|south|cable|39|paid
1379|birch|south|valve|70|pending
1755|ember|east|valve|50|paid
1809|harbor|east|valve|98|held
1522|ionic|south|panel|36|pending
1808|acme|north|gasket|97|held
1298|birch|east|rotor|82|held
1617|ionic|east|panel|85|paid
1697|birch|north|panel|41|pending
1859|birch|north|valve|94|paid
1351|dorian|east|panel|92|paid
1524|gale|south|panel|85|pending
1306|gale|west|frame|38|paid
1772|birch|east|rotor|19|held
1836|fulton|north|sensor|84|paid
1624|dorian|west|rotor|73|paid
1564|harbor|south|panel|30|held
1605|dorian|north|sensor|50|paid
1482|birch|north|gasket|74|paid
1915|ember|west|rotor|15|shipped
1277|acme|east|valve|70|paid
1431|ember|south|sensor|18|held
1712|dorian|north|panel|67|pending
1335|gale|north|frame|54|pending
1671|birch|east|panel|29|pending
1484|juno|west|sensor|85|held
1398|acme|south|frame|67|held
1526|dorian|north|frame|69|shipped
1571|dorian|south|panel|28|paid
1677|gale|west|rotor|12|shipped
1782|cobalt|east|sensor|72|shipped
1474|juno|east|sensor|77|pending
1369|harbor|north|valve|47|held
1713|cobalt|south|gasket|98|paid
1663|ionic|south|valve|13|shipped
1347|cobalt|east|cable|89|pending
1516|ionic|south|gasket|76|paid
1657|dorian|north|cable|55|pending
1601|harbor|south|pump|38|paid
1281|harbor|south|gasket|59|held
1608|ember|west|rotor|68|pending
1478|harbor|west|frame|60|paid
1777|birch|north|frame|85|paid
1845|acme|west|sensor|61|pending
1493|gale|west|gasket|61|paid
1621|dorian|west|panel|33|shipped
1704|birch|west|frame|73|shipped
1500|dorian|north|cable|35|pending
1355|ember|south|valve|51|paid
1268|birch|west|rotor|17|paid
1502|cobalt|north|frame|34|shipped
1325|cobalt|north|gasket|10|shipped
1828|cobalt|west|rotor|43|pending
1289|juno|east|panel|80|held
1898|acme|north|rotor|55|paid
1881|acme|west|gasket|11|shipped
1350|birch|north|rotor|58|held
1750|birch|south|valve|67|paid
1847|birch|south|pump|12|pending
1665|cobalt|north|rotor|17|shipped
1542|harbor|east|valve|74|paid
1561|juno|east|pump|71|paid
1453|birch|east|pump|19|held
1441|acme|north|frame|62|paid
1385|juno|south|rotor|91|pending
1265|birch|south|cable|43|pending
1773|harbor|south|valve|71|pending
1682|gale|south|sensor|71|paid
1843|dorian|north|gasket|31|paid
1342|acme|west|sensor|44|paid
1444|ember|south|gasket|79|paid
1732|cobalt|south|pump|17|held
1557|cobalt|west|valve|81|held
1762|acme|south|rotor|22|paid
1612|harbor|north|rotor|91|paid
1635|birch|east|cable|30|held
1801|acme|west|panel|67|pending
1640|juno|south|panel|29|held
1490|dorian|east|pump|86|shipped
1425|ember|west|gasket|12|held
1255|birch|west|sensor|63|paid
1710|birch|south|rotor|82|pending
1271|birch|north|frame|60|pending
1719|dorian|south|panel|15|paid
1688|cobalt|north|frame|10|held
1273|birch|west|gasket|53|paid
1566|juno|north|rotor|69|shipped
1287|cobalt|north|panel|67|paid
1299|dorian|west|frame|84|paid
1461|gale|west|sensor|65|shipped
1422|cobalt|west|panel|53|held
1504|acme|north|valve|87|paid
1891|dorian|north|cable|90|shipped
1766|birch|east|panel|88|pending
1578|juno|east|panel|73|shipped
1693|harbor|west|sensor|74|paid
1748|gale|east|pump|28|held
1436|fulton|south|gasket|63|held
1410|fulton|west|panel|84|shipped
1609|acme|north|rotor|33|paid
1628|gale|south|pump|18|shipped
1725|ionic|north|valve|59|held
1838|harbor|east|pump|56|pending
1869|ember|south|frame|79|paid
1652|ember|south|cable|67|pending
1736|ionic|south|frame|81|paid
1794|fulton|south|sensor|41|paid
1894|acme|west|panel|85|pending
1546|juno|north|rotor|65|held
1674|birch|west|valve|85|shipped
1903|ember|east|pump|75|pending
1919|fulton|south|pump|74|paid
1330|acme|east|frame|43|pending
1812|birch|north|sensor|59|shipped
1899|ionic|west|panel|14|paid
1336|juno|east|cable|28|pending
1886|dorian|north|frame|92|pending
1440|ionic|east|pump|70|held
1409|ember|west|sensor|35|shipped
1588|fulton|north|cable|20|shipped
1312|gale|south|rotor|30|held
1455|ember|south|valve|22|held
1684|cobalt|east|valve|33|held
1252|birch|south|rotor|24|pending
1581|cobalt|south|valve|88|shipped
1358|dorian|west|cable|72|shipped
1550|ionic|south|rotor|74|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, 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": 1261}},
    {"tool": "cancel_order", "args": {"order_id": 1270}},
    {"tool": "cancel_order", "args": {"order_id": 1250}},
    {"tool": "cancel_order", "args": {"order_id": 1610}},
    {"tool": "cancel_order", "args": {"order_id": 1594}},
    {"tool": "cancel_order", "args": {"order_id": 1677}},
    {"tool": "cancel_order", "args": {"order_id": 1704}},
    {"tool": "cancel_order", "args": {"order_id": 1663}},
    {"tool": "cancel_order", "args": {"order_id": 1682}},
    {"tool": "cancel_order", "args": {"order_id": 1674}},
    {"tool": "cancel_order", "args": {"order_id": 1273}},
    {"tool": "cancel_order", "args": {"order_id": 1287}},
    {"tool": "cancel_order", "args": {"order_id": 1299}},
    {"tool": "cancel_order", "args": {"order_id": 1461}},
    {"tool": "cancel_order", "args": {"order_id": 1422}}
]

wrongagentic.tools.context-load-v1anchorconf 100% · 180ms · $0.000 · 591 tok

model answer:

[
  {"tool": "restock", "args": {"item": "gasket", "qty": 60}},
  {"tool": "restock", "args": {"item": "frame", "qty": 58}},
  {"tool": "cancel_order", "args": {"order_id": 1628}},
  {"tool": "cancel_order", "args": {"order_id": 1682}}
]

correctagentic.tools.deploy-v1conf 100% · 134ms · $0.000 · 100 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: notifier
- gateway: auth-svc, notifier
- notifier: auth-svc
- auth-svc: (none)

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

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

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

model answer:

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

wrongagentic.tools.ledger-v1conf 100% · 136ms · $0.000 · 206 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- delta: $348
- echo: $551
- oscar: $550

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $305 from "echo" to "delta"
2. pay $301 from "delta" to "oscar"
3. pay $506 from "delta" to "echo"
4. pay $533 from "oscar" to "echo"
5. pay $540 from "echo" to "delta"

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

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

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

model answer:

[
    {"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 305}},
    {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 301}},
    {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 305}},
    {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 506}},
    {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 0}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 533}},
    {"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 540}}
]

wrongagentic.tools.triage-v1conf 100% · 100ms · $0.000 · 199 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → novak
- auth → rivera
- data → silva

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 7)
2. "card declined at checkout" (category: payments, priority 7)
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": "card declined at checkout", "priority": 7}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}}
]

correctagentic.tools.deploy-v1anchorconf 100% · 111ms · $0.000 · 153 tok

model answer:

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

wrongagentic.tools.ledger-v1anchorconf 100% · 477ms · $0.000 · 211 tok

model answer:

[
    {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
    {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
    {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
    {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 181}},
    {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
    {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 125}},
    {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]

wrongagentic.tools.triage-v1anchorconf 100% · 213ms · $0.000 · 225 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": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]

code 17/30 correct

wrongcode.trace.nested-v1conf 100% · 107ms · $0.000 · 1109 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) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

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

model answer: 68

correctcode.trace.js-v1conf 100% · 151ms · $0.000 · 214 tok

question

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

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13];
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: 105

wrongcode.trace.python-v1conf 100% · 219ms · $0.000 · 522 tok

question

What does this Python program print?

```python
total = 0
v = 3
while total + v <= 96:
    if v % 4 != 0:
        total += v
    v += 7
print(total)
```

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

model answer: 96

wrongcode.trace.nested-v1conf 100% · 918ms · $0.000 · 1075 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, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 2 + j
print(total)
```

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

model answer: 98

correctcode.trace.js-v1conf 100% · 402ms · $0.000 · 195 tok

question

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

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 180

correctcode.trace.python-v1conf 100% · 109ms · $0.000 · 564 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 102:
    if v % 5 != 0:
        total += v
    v += 6
print(total)
```

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

model answer: 72

wrongcode.trace.nested-v1conf 100% · 115ms · $0.000 · 766 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 82

correctcode.trace.js-v1conf 100% · 110ms · $0.000 · 300 tok

question

What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 546

wrongcode.trace.python-v1conf 100% · 106ms · $0.000 · 558 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 14
while total + v <= 113:
    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: 96

wrongcode.trace.nested-v1conf 100% · 127ms · $0.000 · 958 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 191

correctcode.trace.js-v1conf 100% · 107ms · $0.000 · 256 tok

question

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

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 3)
  .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: 45

correctcode.trace.python-v1conf 100% · 2.8s · $0.000 · 290 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 33:
    if v % 5 != 0:
        total += v
    v += 6
print(total)
```

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

model answer: 14

wrongcode.trace.nested-v1conf 100% · 141ms · $0.000 · 855 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 49

correctcode.trace.js-v1conf 100% · 2.1s · $0.000 · 244 tok

question

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

```js
const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 144

wrongcode.trace.python-v1conf 100% · 518ms · $0.000 · 839 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 6
while total + v <= 86:
    if v % 4 != 0:
        total += v
    v += 4
print(total)
```

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

model answer: 96

wrongcode.trace.nested-v1conf 100% · 118ms · $0.000 · 1296 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 246

correctcode.trace.js-v1conf 100% · 122ms · $0.000 · 389 tok

question

What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11];
const out = arr
  .map(n => n * 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: 325

correctcode.trace.python-v1conf 100% · 105ms · $0.000 · 529 tok

question

What does this Python program print?

```python
total = 0
v = 5
while total + v <= 55:
    if v % 7 != 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: 47

correctcode.trace.nested-v1conf 100% · 111ms · $0.000 · 798 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + j
print(total)
```

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

model answer: 84

correctcode.trace.js-v1conf 100% · 143ms · $0.000 · 351 tok

question

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

```js
const arr = [2, 3, 4, 5, 6, 7];
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: 36

wrongcode.trace.python-v1conf 100% · 122ms · $0.000 · 525 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 2
while total + v <= 57:
    if v % 6 != 0:
        total += v
    v += 9
print(total)
```

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

model answer: 42

wrongcode.trace.nested-v1conf 100% · 132ms · $0.000 · 1062 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 158

correctcode.trace.js-v1conf 100% · 110ms · $0.000 · 326 tok

question

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

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 240

wrongcode.trace.nested-v1conf 100% · 95ms · $0.000 · 1512 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, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

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

model answer: 287

correctcode.trace.python-v1conf 100% · 152ms · $0.000 · 400 tok

question

What does this Python program print?

```python
total = 0
v = 11
while total + v <= 43:
    if v % 4 != 0:
        total += v
    v += 6
print(total)
```

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

model answer: 28

correctcode.trace.js-v1conf 100% · 671ms · $0.000 · 201 tok

question

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

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10];
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: 140

correctcode.trace.python-v1anchorconf 100% · 443ms · $0.000 · 932 tok

model answer: 0

wrongcode.trace.nested-v1anchorconf 100% · 1.1s · $0.000 · 1192 tok

model answer: 231

correctcode.trace.js-v1anchorconf 100% · 675ms · $0.000 · 197 tok

model answer: 63

correctcode.trace.python-v1anchorconf 100% · 218ms · $0.000 · 370 tok

model answer: 40

instruction following 15/30 correct

wrongif.constraints.stack-v1conf 100% · 1.6s · $0.000 · 60 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "comet" and the last word must be "delta".
3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: comet, a falcon-shaped machine, once soared through skies, guiding falcons, now silent, resting in delta.

wrongif.format.acronym-v1conf 100% · 128ms · $0.000 · 135 tok

question

Take the third letter of each of these words, in order: falcon, flint, prism, echo, lumen, ember. 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: LISCMm

correctif.format.repeat-v1conf 100% · 114ms · $0.000 · 187 tok

question

Write the word "prism" 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: PRISM-PRISM-PRISM-PRISM-PRISM-PRISM-PRISM-PRISM

wrongif.constraints.stack-v1conf 100% · 98ms · $0.000 · 63 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 "prism" and the last word must be "zephyr".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: prism reflects light, casting nova shadows, a nova journey, through forests, over hills, ending in a gentle zephyr

correctif.format.repeat-v1conf 100% · 103ms · $0.000 · 153 tok

question

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

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

model answer: zephyr/zephyr/zephyr/zephyr/zephyr/zephyr/zephyr

correctif.format.acronym-v1conf 100% · 99ms · $0.000 · 109 tok

question

Take the first letter of each of these words, in order: quartz, tundra, falcon, 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: QTFP

wrongif.constraints.stack-v1conf 100% · 144ms · $0.000 · 96 tok

question

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

Give the text itself as your answer.

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

model answer:

falcon soared above, tracing comet's tail across the night sky. stars twinkled, guiding the journey. comet reappeared, leaving a trail of light. dawn approached, painting the horizon with hues of ember.

wrongif.format.acronym-v1conf 100% · 195ms · $0.000 · 104 tok

question

Take the first letter of each of these words, in order: flint, drift, comet, cedar, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

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

model answer: FDCC

correctif.format.repeat-v1conf 100% · 116ms · $0.000 · 153 tok

question

Write the word "tundra" 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: tundra/tundra/tundra/tundra/tundra/tundra

wrongif.format.acronym-v1conf 100% · 98ms · $0.000 · 181 tok

question

Take the first letter of each of these words, in order: quartz, prism, falcon, drift, echo, 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: QPDFDEC

wrongif.constraints.stack-v1conf 100% · 140ms · $0.000 · 84 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "tundra" and the last word must be "basalt".
3. Use the word "flint" 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:

tundra winds howl, flint stones crunch underfoot, flint tools crafted, ancient paths tread, flint sparks ignite, guiding through endless night, reaching volcanic basalt.

correctif.format.repeat-v1conf 100% · 132ms · $0.000 · 171 tok

question

Write the word "falcon" in uppercase form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer.

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

model answer: FALCON-FALCON-FALCON-FALCON

wrongif.constraints.stack-v1conf 100% · 576ms · $0.000 · 131 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "quartz" and the last word must be "prism".
3. Use the word "lumen" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer:

quartz glows softly, illuminating paths with gentle lumen. shadows dance, whispering secrets as twilight deeps. stars twinkle, guiding travelers through silent night. dawn breaks, painting skies with vibrant hues. lumen returns, casting golden light anew. journey's end reveals a breathtaking prism.

wrongif.format.acronym-v1conf 100% · 123ms · $0.000 · 115 tok

question

Take the third letter of each of these words, in order: flint, ember, basalt, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

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

model answer: IBAC

correctif.format.repeat-v1conf 100% · 117ms · $0.000 · 123 tok

question

Write the word "prism" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

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

model answer: PRISM/PRISM/PRISM

wrongif.constraints.stack-v1conf 100% · 126ms · $0.000 · 96 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "ember" and the last word must be "echo".
3. Use the word "comet" 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, a forgotten machine, once a comet's guide, now silent. its gears, like a comet's tail, whisper stories of past journeys. a comet's light, once bright, now a faint echo.

correctif.format.repeat-v1conf 100% · 106ms · $0.000 · 187 tok

question

Write the word "falcon" in uppercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

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

model answer: FALCON/FALCON/FALCON/FALCON/FALCON

correctif.format.acronym-v1conf 100% · 149ms · $0.000 · 133 tok

question

Take the first letter of each of these words, in order: quartz, cedar, comet, nova, basalt, 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: QCCNBT

wrongif.constraints.stack-v1conf 100% · 101ms · $0.000 · 72 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "zephyr" and the last word must be "quartz".
3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer:

zephyr whispers gently, guiding ships in orbit, beneath moonlit waves, stars align, orbiting silently, until dawn's first light touches quartz.

correctif.format.repeat-v1conf 100% · 97ms · $0.000 · 158 tok

question

Write the word "tundra" in uppercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer.

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

model answer: TUNDRA_TUNDRA_TUNDRA_TUNDRA_TUNDRA

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

question

Take the second letter of each of these words, in order: tundra, delta, comet, basalt, cedar, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

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

model answer: UEOAER

correctif.constraints.stack-v1conf 100% · 103ms · $0.000 · 58 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "basalt" and the last word must be "nova".
3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: basalt paths wind through silent cedar groves, where morning mist clings to ancient cedar, heralding a nova.

wrongif.format.acronym-v1conf 100% · 112ms · $0.000 · 128 tok

question

Take the third letter of each of these words, in order: prism, ember, echo, comet, delta, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

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

model answer: SBCM TN

correctif.format.repeat-v1conf 100% · 172ms · $0.000 · 139 tok

question

Write the word "drift" 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: drift-drift-drift-drift-drift-drift

wrongif.constraints.stack-v1conf 100% · 132ms · $0.000 · 77 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "cedar" 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:

cedar trees sway gently as the sun orbits the sky, casting shadows that dance in orbit, while the moon orbits silently, leading to a distant mountain of basalt.

wrongif.format.acronym-v1conf 100% · 107ms · $0.000 · 131 tok

question

Take the third letter of each of these words, in order: prism, echo, orbit, zephyr, lumen, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

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

model answer: SHBPMV

correctif.format.repeat-v1anchorconf 100% · 109ms · $0.000 · 139 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

wrongif.constraints.stack-v1anchorconf 100% · 106ms · $0.000 · 107 tok

model answer:

drift through the city's veins, where lumen whispers dance on cobblestones, lumen flickers in alleyways, lumen glows on skyscrapers, casting shadows that merge with the night, as stars above silently orbit.

correctif.format.repeat-v1anchorconf 100% · 931ms · $0.000 · 131 tok

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

correctif.format.acronym-v1anchorconf 100% · 97ms · $0.000 · 122 tok

model answer: ZDFQ

knowledge 29/30 correct

correctknowledge.fr.factbank-v2conf 100% · 118ms · $0.000 · 15 tok

question

Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 106ms · $0.000 · 25 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% · 114ms · $0.000 · 16 tok

question

Identify 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% · 101ms · $0.000 · 19 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% · 108ms · $0.000 · 23 tok

question

Identify the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

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

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 340ms · $0.000 · 19 tok

question

Identify the author of "The Master and Margarita".

Answer with the name only — no explanation.

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

model answer: Mikhail Bulgakov

wrongknowledge.fr.factbank-v2conf 95% · 97ms · $0.000 · 18 tok

question

Identify the Burmese capital city.

Answer with the name only — no explanation.

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

model answer: Rangoon

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

question

What is the element whose symbol is Pb?

Answer with the name only — no explanation.

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

model answer: Lead

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

question

Name the capital of Turkey.

Answer with the name only — no explanation.

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

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 118ms · $0.000 · 19 tok

question

Identify the capital of Switzerland.

Answer with the name only — no explanation.

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

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 115ms · $0.000 · 18 tok

question

Name the chemical element with symbol W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 108ms · $0.000 · 16 tok

question

Identify 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% · 106ms · $0.000 · 14 tok

question

Name the element whose symbol is Pb.

Answer with the name only — no explanation.

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

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 173ms · $0.000 · 16 tok

question

Name the Kazakh capital city.

Answer with the name only — no explanation.

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

model answer: Astana

correctknowledge.fr.factbank-v2conf 100% · 95ms · $0.000 · 30 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% · 125ms · $0.000 · 19 tok

question

What is 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% · 119ms · $0.000 · 16 tok

question

Name the chemical element with symbol 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% · 103ms · $0.000 · 25 tok

question

What is the chemical element with symbol 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% · 109ms · $0.000 · 32 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% · 102ms · $0.000 · 15 tok

question

What is the chemical element with symbol Sn?

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 141ms · $0.000 · 23 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% · 114ms · $0.000 · 16 tok

question

Identify the chemical element with symbol 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% · 104ms · $0.000 · 19 tok

question

What is the capital of Australia?

Answer with the name only — no explanation.

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

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 118ms · $0.000 · 15 tok

question

Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 105ms · $0.000 · 23 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% · 174ms · $0.000 · 22 tok

question

What is the Swiss capital (de facto)?

Answer with the name only — no explanation.

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

model answer: Bern

correctknowledge.fr.factbank-v2anchorconf 100% · 117ms · $0.000 · 18 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 155ms · $0.000 · 15 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 112ms · $0.000 · 16 tok

model answer: Antimony

correctknowledge.fr.factbank-v2anchorconf 100% · 103ms · $0.000 · 14 tok

model answer: Lead

math 26/30 correct

wrongmath.counterfactual.base-v1conf 100% · 149ms · $0.000 · 401 tok

question

Work strictly in base 11. Add the base-11 numbers 4AA and 1799. 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: 10BA

correctmath.chained.pipeline-v1conf 100% · 117ms · $0.000 · 184 tok

question

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

Step 1: P = 14 × 20.
Step 2: Q = P × 8 − 925.
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: 147

correctmath.percent.chain-v2conf 100% · 117ms · $0.000 · 245 tok

question

An inventory starts at 92000 units. A rival firm shipped 42 unrelated parcels the same week. In the first month the inventory grows by 30%. The warehouse was painted 14 years ago. The next month it shrinks by 28%, and the month after it grows by 17%. 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: 100,751.04

correctmath.algebra.system-v2conf 100% · 146ms · $0.000 · 295 tok

question

Solve the system, then answer the derived question.

7x + 7y = -196
5x − 7y = 148

What is the value of 4x − 6y?

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

model answer: 128

correctmath.arith.chain-v2conf 100% · 152ms · $0.000 · 254 tok

question

Calculate the following. Show your reasoning, then answer.

(((86 × 51 − 837) × 3 + 2289) − 84 × 98) × 3

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

model answer: 14112

correctmath.chained.pipeline-v1conf 100% · 158ms · $0.000 · 193 tok

question

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

Step 1: P = 72 × 74.
Step 2: Q = P × 8 − 339.
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: 8457

correctmath.counterfactual.base-v1conf 100% · 138ms · $0.000 · 403 tok

question

Work strictly in base 11. Multiply the base-11 numbers 29 and 57. 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: 1498

correctmath.percent.chain-v2conf 100% · 113ms · $0.000 · 266 tok

question

An inventory starts at 18000 units. The warehouse was painted 169 years ago. In the first month the inventory grows by 21%. A rival firm shipped 68 unrelated parcels the same week. The next month it shrinks by 36%, and the month after it grows by 7%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 14914.94

correctmath.algebra.system-v2conf 100% · 135ms · $0.000 · 257 tok

question

Solve the system, then answer the derived question.

3x + 8y = -83
3x − 9y = 240

What is the value of 5x − 6y?

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

model answer: 229

correctmath.arith.chain-v2conf 100% · 127ms · $0.000 · 253 tok

question

Calculate the following. Show your reasoning, then answer.

(((66 × 91 − 954) × 9 + 6144) − 38 × 34) × 3

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

model answer: 150960

correctmath.chained.pipeline-v1conf 100% · 104ms · $0.000 · 197 tok

question

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

Step 1: P = 87 × 59.
Step 2: Q = P × 8 − 944.
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: 8024

correctmath.counterfactual.base-v1conf 100% · 124ms · $0.000 · 200 tok

question

Work strictly in base 9. Add the base-9 numbers 2102 and 1221. 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: 3323

wrongmath.percent.chain-v2conf 100% · 160ms · $0.000 · 331 tok

question

An inventory starts at 78000 units. Each pallet weighs about 26 grams more when wet. In the first month the inventory grows by 13%. The delivery van has a 81-liter fuel tank. The next month it shrinks by 40%, and the month after it grows by 41%. 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: 74,568.44

correctmath.algebra.system-v2conf 100% · 140ms · $0.000 · 328 tok

question

Solve the system, then answer the derived question.

4x + 8y = 200
9x − 3y = -390

What is the value of 3x − 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: -170

correctmath.arith.chain-v2conf 100% · 122ms · $0.000 · 297 tok

question

Work out the exact value of this expression.

(((49 × 40 − 265) × 6 + 4611) − 88 × 60) × 5

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

model answer: 47505

correctmath.counterfactual.base-v1conf 100% · 102ms · $0.000 · 291 tok

question

Work strictly in base 7. Multiply the base-7 numbers 32 and 53. Give the result IN BASE 7.

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

model answer: 2356

correctmath.chained.pipeline-v1conf 100% · 142ms · $0.000 · 193 tok

question

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

Step 1: P = 18 × 65.
Step 2: Q = P × 9 − 607.
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: 3309

correctmath.percent.chain-v2conf 100% · 155ms · $0.000 · 250 tok

question

An inventory starts at 15000 units. The company was founded 100 kilometers from the port. In the first month the inventory grows by 20%. A rival firm shipped 176 unrelated parcels the same week. The next month it shrinks by 40%, and the month after it grows by 35%. 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: 14,580

correctmath.algebra.system-v2conf 100% · 108ms · $0.000 · 439 tok

question

Solve the system, then answer the derived question.

7x + 6y = -35
5x − 2y = -25

What is the value of 4x − 5y?

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

model answer: -20

correctmath.arith.chain-v2conf 100% · 149ms · $0.000 · 229 tok

question

Evaluate the expression below and give the result.

(((83 × 64 − 594) × 5 + 3109) − 67 × 31) × 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: 49244

correctmath.counterfactual.base-v1conf 100% · 136ms · $0.000 · 288 tok

question

Work strictly in base 11. Multiply the base-11 numbers 41 and 16. 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: 636

correctmath.chained.pipeline-v1conf 100% · 136ms · $0.000 · 194 tok

question

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

Step 1: P = 43 × 81.
Step 2: Q = P × 5 − 874.
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: 2072

wrongmath.percent.chain-v2conf 100% · 110ms · $0.000 · 271 tok

question

An inventory starts at 62000 units. The delivery van has a 27-liter fuel tank. In the first month the inventory grows by 38%. Each pallet weighs about 26 grams more when wet. The next month it shrinks by 34%, and the month after it grows by 38%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 77,902.85

correctmath.algebra.system-v2conf 100% · 478ms · $0.000 · 300 tok

question

Solve the system, then answer the derived question.

8x + 6y = -492
9x − 6y = -171

What is the value of 4x − 5y?

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

model answer: -6

correctmath.arith.chain-v2conf 100% · 416ms · $0.000 · 250 tok

question

Compute the value of the following expression.

(((77 × 46 − 927) × 7 + 9978) − 24 × 70) × 5

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

model answer: 133015

correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.000 · 233 tok

question

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

Step 1: P = 43 × 55.
Step 2: Q = P × 7 − 830.
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: 1970

correctmath.counterfactual.base-v1anchorconf 100% · 852ms · $0.000 · 311 tok

model answer: 11236

wrongmath.percent.chain-v2anchorconf 100% · 849ms · $0.000 · 274 tok

model answer: 61,925.72

correctmath.algebra.system-v2anchorconf 100% · 239ms · $0.000 · 262 tok

model answer: 87

correctmath.arith.chain-v2anchorconf 100% · 239ms · $0.000 · 228 tok

model answer: 108153

multilingual 28/30 correct

TimeoutError: The operation was aborted due to timeoutmultilingual.numword-v2conf — · — · — · — tok

question

Compute 414 + 351, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: (none extracted)

correctmultilingual.wordnum-v1conf 100% · 145ms · $0.000 · 176 tok

question

A number is written in French: « six cent seize ». Another is written in Spanish: « cuatrocientos veintiuno ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1037

correctmultilingual.wordnum-v1conf 100% · 120ms · $0.000 · 161 tok

question

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

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

model answer: 322

correctmultilingual.numword-v2conf 100% · 91ms · $0.000 · 35 tok

question

Compute 413 + 132, 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 cuarenta y cinco

correctmultilingual.numword-v2conf 100% · 134ms · $0.000 · 63 tok

question

Compute 402 + 336, 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 ocho

correctmultilingual.wordnum-v1conf 100% · 150ms · $0.000 · 179 tok

question

A number is written in French: « quatre cent trente-six ». Another is written in Spanish: « seiscientos setenta 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: 1107

correctmultilingual.numword-v2conf 100% · 104ms · $0.000 · 74 tok

question

Compute 264 + 61, 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 vingt-cinq

correctmultilingual.wordnum-v1conf 100% · 186ms · $0.000 · 196 tok

question

A number is written in French: « six cent cinquante-quatre ». Another is written in Spanish: « quinientos setenta 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: 76

correctmultilingual.numword-v2conf 100% · 116ms · $0.000 · 59 tok

question

Compute 326 + 310, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: seiscientos treinta y seis

correctmultilingual.wordnum-v1conf 100% · 215ms · $0.000 · 204 tok

question

A number is written in French: « neuf cent soixante-dix-neuf ». Another is written in Spanish: « quinientos cuarenta 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: 432

correctmultilingual.wordnum-v1conf 100% · 107ms · $0.000 · 170 tok

question

A number is written in French: « sept cent trente-trois ». Another is written in Spanish: « quinientos cincuenta y siete ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 176

correctmultilingual.numword-v2conf 100% · 111ms · $0.000 · 111 tok

question

Compute 71 + 166, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: deux cent trente-sept

correctmultilingual.wordnum-v1conf 100% · 128ms · $0.000 · 178 tok

question

A number is written in French: « cent quarante-quatre ». Another is written in Spanish: « ochenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 230

correctmultilingual.wordnum-v1conf 100% · 144ms · $0.000 · 199 tok

question

A number is written in French: « neuf cent dix-huit ». Another is written in Spanish: « seiscientos setenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1591

correctmultilingual.numword-v2conf 100% · 112ms · $0.000 · 71 tok

question

Compute 377 + 121, 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-dix-huit

correctmultilingual.wordnum-v1conf 100% · 102ms · $0.000 · 173 tok

question

A number is written in French: « huit cent quarante-six ». Another is written in Spanish: « seiscientos cincuenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1502

correctmultilingual.numword-v2conf 100% · 130ms · $0.000 · 63 tok

question

Compute 299 + 227, 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 vingt-six

correctmultilingual.numword-v2conf 100% · 111ms · $0.000 · 114 tok

question

Compute 255 + 282, 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 trente-sept

correctmultilingual.wordnum-v1conf 100% · 105ms · $0.000 · 185 tok

question

A number is written in French: « cent quarante-cinq ». Another is written in Spanish: « setecientos veintiocho ». 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: 873

correctmultilingual.wordnum-v1conf 100% · 120ms · $0.000 · 234 tok

question

A number is written in French: « sept cent quatre-vingt-huit ». Another is written in Spanish: « trescientos setenta 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: 414

correctmultilingual.numword-v2conf 100% · 127ms · $0.000 · 34 tok

question

Compute 448 + 221, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: six cent soixante-neuf

correctmultilingual.numword-v2conf 100% · 147ms · $0.000 · 68 tok

question

Compute 440 + 401, 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: ochocientos cuarenta y uno

correctmultilingual.wordnum-v1conf 100% · 117ms · $0.000 · 186 tok

question

A number is written in French: « cinq cent quatre ». Another is written in Spanish: « seiscientos cuarenta 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: -141

correctmultilingual.numword-v2conf 100% · 129ms · $0.000 · 36 tok

question

Compute 125 + 130, 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: doscientos cincuenta y cinco

correctmultilingual.wordnum-v1conf 100% · 501ms · $0.000 · 223 tok

question

A number is written in French: « sept cent quatre-vingt-six ». Another is written in Spanish: « ciento 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: 611

correctmultilingual.numword-v2conf 100% · 105ms · $0.000 · 58 tok

question

Compute 340 + 362, 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 dos

correctmultilingual.wordnum-v1anchorconf 100% · 236ms · $0.000 · 155 tok

model answer: 150

correctmultilingual.wordnum-v1anchorconf 100% · 163ms · $0.000 · 219 tok

model answer: 762

wrongmultilingual.numword-v2anchorconf 100% · 111ms · $0.000 · 40 tok

model answer: neuf cent soixante-dix-neuf

correctmultilingual.numword-v2anchorconf 100% · 99ms · $0.000 · 57 tok

model answer: seiscientos ocho

reasoning 26/30 correct

correctreasoning.deduction.position-v1conf 100% · 123ms · $0.000 · 104 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 127ms · $0.000 · 179 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Nadir. Nadir is faster than Quinn. Chen is faster than Bruno. Liam is faster than Quinn. Sami is heavier than everyone here, but Sami is not being ranked. Tessa is faster than Ines. Nadir is faster than Liam. Ines is faster than Bruno. Quinn is faster than Tessa. Quinn is faster than Ines. Who is fifth (rank 5)?

Answer with the name only.

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

model answer: Tessa

correctreasoning.deduction.position-v1conf 100% · 117ms · $0.000 · 159 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 130ms · $0.000 · 283 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Kira. Alice is taller than Dara. Emil is taller than Hana. Hana is taller than Tessa. Quinn is faster than everyone here, but Quinn is not being ranked. Hana is taller than Kira. Kira is taller than Chen. Chen is taller than Alice. Kira is taller than Alice. Chen is taller than Dara. 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: Kira

correctreasoning.deduction.position-v1conf 100% · 112ms · $0.000 · 144 tok

question

Four people stand in a queue (number 1 is the front). Sami is directly ahead of Rosa. Rosa is number 3 in the queue. Mona is directly ahead of Sami. Who is number 3?

Answer with the name only.

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

model answer: Rosa

wrongreasoning.deduction.order-v2conf 100% · 122ms · $0.000 · 216 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Ola. Tessa is heavier than Alice. Dara is taller than everyone here, but Dara is not being ranked. Chen is heavier than Jonas. Farah is heavier than Liam. Ola is heavier than Jonas. Liam is heavier than Chen. Alice is heavier than Farah. Chen is heavier than Ola. Farah is heavier than Chen. 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: Alice

correctreasoning.deduction.order-v2conf 100% · 122ms · $0.000 · 342 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Kira. Nadir is older than Goran. Rosa is older than Nadir. Rosa is older than Goran. Quinn is older than Ines. Rosa is older than Goran. Priya is older than Quinn. Jonas is heavier than everyone here, but Jonas is not being ranked. Rosa is older than Kira. Ines is older than Rosa. Who is sixth (rank 6)?

Answer with the name only.

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

model answer: Goran

correctreasoning.deduction.order-v2conf 100% · 166ms · $0.000 · 368 tok

question

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

wrongreasoning.deduction.position-v1conf 100% · 97ms · $0.000 · 116 tok

question

Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Jonas. Jonas is directly ahead of Chen. Chen is number 3 in the queue. Who is number 4?

Answer with the name only.

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

model answer: Tessa

correctreasoning.deduction.position-v1conf 100% · 167ms · $0.000 · 102 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 98ms · $0.000 · 538 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Bruno. Quinn is heavier than Farah. Chen is heavier than Bruno. Farah is heavier than Jonas. Chen is heavier than Bruno. Kira is heavier than Chen. Kira is heavier than Mona. Mona is heavier than Chen. Chen is heavier than Quinn. Priya is taller than everyone here, but Priya is not being ranked. 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: Mona

wrongreasoning.deduction.position-v1conf 100% · 117ms · $0.000 · 116 tok

question

Four people stand in a queue (number 1 is the front). Dara is directly ahead of Farah. Ola is directly ahead of Dara. Farah is number 3 in the queue. Who is number 4?

Answer with the name only.

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

model answer: The fourth person

correctreasoning.deduction.order-v2conf 100% · 108ms · $0.000 · 293 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Sami is taller than Quinn. Sami is taller than Emil. Tessa is taller than Farah. Ola is older than everyone here, but Ola is not being ranked. Emil is taller than Tessa. Jonas is taller than Tessa. Hana is taller than Jonas. Farah is taller than Quinn. Emil is taller than Hana. Emil is taller than Tessa. 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: Jonas

correctreasoning.deduction.position-v1conf 100% · 107ms · $0.000 · 188 tok

question

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

correctreasoning.deduction.position-v1conf 100% · 150ms · $0.000 · 139 tok

question

Four people stand in a queue (number 1 is the front). Nadir is number 2 in the queue. Priya is directly ahead of Bruno. Ines is directly ahead of Nadir. 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: Priya

correctreasoning.deduction.order-v2conf 100% · 109ms · $0.000 · 150 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Hana. Ola is heavier than Tessa. Hana is heavier than Goran. Tessa is heavier than Goran. Alice is heavier than Ola. Ola is heavier than Goran. Chen is faster than everyone here, but Chen is not being ranked. Alice is heavier than Tessa. Hana is heavier than Alice. Dara is heavier than Bruno. Who is sixth (rank 6)?

Answer with the name only.

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

model answer: Tessa

wrongreasoning.deduction.order-v2conf 100% · 154ms · $0.000 · 316 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Ines. Priya is faster than Liam. Hana is older than everyone here, but Hana is not being ranked. Mona is faster than Kira. Jonas is faster than Kira. Liam is faster than Ines. Liam is faster than Jonas. Mona is faster than Jonas. Alice is faster than Mona. Mona is faster than Priya. Who is fifth (rank 5)?

Answer with the name only.

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

model answer: Kira

correctreasoning.deduction.position-v1conf 100% · 102ms · $0.000 · 88 tok

question

Four people stand in a queue (number 1 is the front). Dara is directly ahead of Farah. Jonas is directly ahead of Ines. Farah is number 2 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: Farah

correctreasoning.deduction.order-v2conf 100% · 110ms · $0.000 · 345 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Ines is faster than everyone here, but Ines is not being ranked. Liam is taller than Hana. Kira is taller than Chen. Priya is taller than Chen. Jonas is taller than Liam. Hana is taller than Quinn. Liam is taller than Kira. Kira is taller than Priya. Quinn is taller than Kira. Quinn is taller than Priya. 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: Liam

correctreasoning.deduction.position-v1conf 100% · 204ms · $0.000 · 177 tok

question

Four people stand in a queue (number 1 is the front). Ola is number 4 in the queue. Kira is directly ahead of Bruno. Emil is directly ahead of Ola. Bruno is directly ahead of Emil. Who is number 3?

Answer with the name only.

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

model answer: Emil

correctreasoning.deduction.order-v2conf 100% · 113ms · $0.000 · 284 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Ola. Emil is older than Bruno. Ola is older than Liam. Bruno is older than Dara. Dara is older than Hana. Chen is faster than everyone here, but Chen is not being ranked. Dara is older than Ola. Jonas is older than Bruno. Jonas is older than Emil. Liam is older than Hana. 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.position-v1conf 100% · 120ms · $0.000 · 132 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 99ms · $0.000 · 323 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Sami. Sami is older than Alice. Rosa is older than Priya. Alice is older than Rosa. Mona is older than Priya. Quinn is older than Rosa. Alice is older than Quinn. Ola is heavier than everyone here, but Ola is not being ranked. Quinn is older than Priya. Rosa is older than Mona. 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% · 108ms · $0.000 · 95 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 226ms · $0.000 · 236 tok

question

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

correctreasoning.deduction.position-v1conf 100% · 210ms · $0.000 · 130 tok

question

Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Rosa. Alice is number 2 in the queue. Kira is directly ahead of Alice. Who is number 3?

Answer with the name only.

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

model answer: Bruno

correctreasoning.deduction.order-v2anchorconf 100% · 606ms · $0.000 · 323 tok

model answer: Quinn

correctreasoning.deduction.position-v1anchorconf 100% · 627ms · $0.000 · 171 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 100% · 861ms · $0.000 · 455 tok

model answer: Mona

correctreasoning.deduction.position-v1anchorconf 100% · 861ms · $0.000 · 129 tok

model answer: Farah

terminal 14/30 correct

wrongterminal.exit.chain-v1conf 100% · 126ms · $0.000 · 22 tok

question

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

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

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

These statements run in order:

```sh
grep -q basil notes.txt && echo A || echo B
false && echo C || echo D
true && echo E || echo F
test -f app.txt && echo Z
```

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

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

model answer:

D
E
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 111ms · $0.000 · 42 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/logs`):

```
/proj/docs/draft.md
/proj/docs/util.cfg
/proj/logs/setup.txt
/proj/main.md
/proj/report.cfg
```

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

```sh
mv docs/draft.md docs/notes-6.cfg
mkdir -p src/docs-8
cd logs
mv ../../proj/report.cfg ./
touch ../../proj/docs/draft-9.md
cd ../../proj/src/docs-8
mv ../../../proj/docs/util.cfg ../../../proj/logs/
mv ../../../proj/docs/draft-9.md ../../../proj/logs/
```

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

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

model answer: (none extracted)

correctterminal.pipeline.predict-v1conf 100% · 255ms · $0.000 · 278 tok

question

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

```
jon,eng,43,82
pam,eng,110,60
dev,ops,93,50
oli,ops,64,90
max,ops,113,18
cy,eng,110,75
lou,ops,34,58
hal,legal,98,34
eli,eng,17,51
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 62 { 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: 0

correctterminal.exit.chain-v1conf 100% · 129ms · $0.000 · 26 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
D
F
G
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 193ms · $0.000 · 66 tok

question

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

```
/proj/build/index.log
/proj/conf/main.txt
/proj/draft.md
/proj/setup.log
/proj/src/notes.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 build/index.log ./
mkdir -p docs-9
mv setup.log src/
mkdir -p src-7
mv index.log index-2.txt
mv src/setup.log src/
mkdir -p src-7/src-2
cp index-2.txt src-7/src-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: (none extracted)

correctterminal.pipeline.predict-v1conf 100% · 104ms · $0.000 · 245 tok

question

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

```
ivy,ops,21,82
fay,eng,75,27
oli,hr,14,42
kim,sales,44,23
dev,hr,9,36
cy,ops,27,52
pam,hr,28,52
eli,hr,43,47
gus,hr,58,17
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: kim,sales,44,23

correctterminal.pipeline.predict-v1conf 100% · 134ms · $0.000 · 337 tok

question

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

```
kim,legal,99,31
pam,eng,103,96
lou,legal,110,86
max,eng,33,65
ivy,eng,12,89
jon,ops,84,96
bo,ops,96,21
gus,ops,26,42
ana,eng,30,69
eli,eng,111,53
oli,hr,31,35
fay,hr,47,58
cy,sales,114,51
hal,legal,45,49
```

What is the EXACT stdout of this command?

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

ana,30
eli,111
ivy,12

correctterminal.exit.chain-v1conf 100% · 114ms · $0.000 · 26 tok

question

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

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

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

These statements run in order:

```sh
test -f data.txt && echo A || echo B
true && echo C || echo D
test -f tmp.txt && echo E || echo F
grep -q amber notes.txt && 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

wrongterminal.fs.tree-v1conf 100% · 120ms · $0.000 · 69 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/logs`, `/proj/docs`):

```
/proj/build/index.md
/proj/build/setup.md
/proj/docs/util.cfg
/proj/draft.log
/proj/todo.log
```

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

```sh
mv docs/util.cfg build/
cd logs
rm ../../proj/build/setup.md
cd ../../proj/docs
touch setup-8.txt
touch ../../proj/logs/util-5.cfg
cd ../../proj/build
mv ../../proj/draft.log ../../proj/draft-6.cfg
mkdir -p conf-6
cd ../../proj/logs
cp ../../proj/docs/setup-8.txt ../../proj/build/
```

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

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

model answer: (none extracted)

correctterminal.pipeline.predict-v1conf 100% · 182ms · $0.000 · 291 tok

question

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

```
hal,hr,23,65
lou,ops,16,77
kim,legal,94,84
bo,sales,61,73
eli,hr,119,28
gus,sales,117,25
fay,ops,9,58
dev,hr,49,35
max,hr,95,80
ned,hr,73,45
```

What is the EXACT stdout of this command?

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

fay,ops,9,58
lou,ops,16,77

correctterminal.exit.chain-v1conf 100% · 101ms · $0.000 · 24 tok

question

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

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

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

These statements run in order:

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

A
C
F
H
exit:1

wrongterminal.fs.tree-v1conf 100% · 158ms · $0.000 · 64 tok

question

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

```
/proj/assets/setup.txt
/proj/build/index.cfg
/proj/build/notes.log
/proj/main.log
/proj/todo.md
```

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

```sh
touch report-9.cfg
mkdir -p assets/build-9
cp build/notes.log src/
rm todo.md
cd .
touch assets/build-9/notes-2.txt
cp src/notes.log assets/
cd src
rm ../../proj/assets/setup.txt
cp ../../proj/build/index.cfg ../../proj/assets/build-9/
```

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

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

model answer: (none extracted)

wrongterminal.exit.chain-v1conf 100% · 113ms · $0.000 · 20 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

D
E
exit:0

wrongterminal.fs.tree-v1conf 100% · 152ms · $0.000 · 75 tok

question

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

```
/proj/assets/notes.txt
/proj/docs/report.md
/proj/logs/draft.md
/proj/main.log
/proj/setup.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 logs/draft.md logs/index-6.cfg
cp main.log logs/
cd .
mv main.log docs/
touch notes-4.log
touch main-1.txt
touch assets/index-1.txt
rm setup.txt
```

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

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

model answer: (none extracted)

wrongterminal.pipeline.predict-v1conf 100% · 128ms · $0.000 · 301 tok

question

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

```
hal,ops,75,10
dev,eng,79,52
gus,eng,50,40
ana,eng,79,31
bo,hr,91,68
kim,sales,13,80
oli,legal,11,37
max,ops,51,82
ivy,ops,96,88
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 46 { 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: kim,sales,13,80

correctterminal.pipeline.predict-v1conf 100% · 117ms · $0.000 · 351 tok

question

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

```
gus,eng,62,81
cy,ops,54,46
bo,sales,103,39
oli,eng,7,44
eli,legal,110,60
pam,legal,43,22
fay,eng,106,96
ivy,ops,83,78
dev,ops,10,82
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 74 { 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: 0

correctterminal.exit.chain-v1conf 100% · 103ms · $0.000 · 26 tok

question

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

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

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

These statements run in order:

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

wrongterminal.fs.tree-v1conf 100% · 134ms · $0.000 · 62 tok

question

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

```
/proj/assets/index.txt
/proj/draft.cfg
/proj/setup.cfg
/proj/src/main.md
/proj/src/notes.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 todo-3.txt
mv assets/index.txt ./
cp todo-3.txt assets/
cd src
cp ../../proj/draft.cfg ../../proj/assets/
mkdir -p ../../proj/docs/logs-4
```

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

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

model answer: (none extracted)

wrongterminal.pipeline.predict-v1conf 100% · 148ms · $0.000 · 273 tok

question

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

```
lou,ops,38,63
dev,eng,94,32
ivy,ops,30,36
ana,eng,69,19
cy,legal,105,20
pam,legal,110,36
bo,legal,102,42
jon,sales,4,10
gus,eng,50,64
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: jon,sales,4,10

correctterminal.exit.chain-v1conf 100% · 321ms · $0.000 · 24 tok

question

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

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

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

These statements run in order:

```sh
false && echo A || echo B
true && echo C || echo D
false && echo E || echo F
false && 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
H
exit:1

wrongterminal.fs.tree-v1conf 100% · 314ms · $0.000 · 102 tok

question

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

```
/proj/conf/index.md
/proj/logs/report.txt
/proj/logs/setup.log
/proj/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
rm logs/report.txt
cd logs
mkdir -p ../../proj/docs/conf-8
cd .
mkdir -p ../../proj/docs/logs-7
mv ../../proj/conf/index.md ../../proj/docs/logs-7/
touch draft-2.txt
cp ../../proj/notes.md ./
cd ../../proj/docs
```

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

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

model answer: (none extracted)

wrongterminal.pipeline.predict-v1conf 100% · 407ms · $0.000 · 276 tok

question

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

```
lou,sales,44,83
jon,legal,94,75
fay,legal,7,20
ana,sales,105,73
ned,sales,50,15
cy,hr,95,92
gus,eng,12,66
ivy,ops,46,26
dev,ops,75,33
kim,ops,74,43
hal,legal,39,12
pam,hr,62,72
```

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: gus,eng,12,66

correctterminal.exit.chain-v1conf 100% · 159ms · $0.000 · 22 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
C
F
exit:1

wrongterminal.fs.tree-v1conf 100% · 123ms · $0.000 · 72 tok

question

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

```
/proj/build/index.txt
/proj/build/report.txt
/proj/build/todo.cfg
/proj/main.log
/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
rm build/index.txt
cp notes.md build/
cd logs
mv ../../proj/main.log ../../proj/setup-1.cfg
cd ../../proj
mkdir -p logs/docs-6
mkdir -p build/conf-6
rm notes.md
```

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

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

model answer: (none extracted)

correctterminal.exit.chain-v1conf 100% · 138ms · $0.000 · 26 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
true && echo A || echo B
false && echo C || echo D
grep -q dune notes.txt && echo E || echo F
grep -q amber 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
G
Z
exit:0

correctterminal.pipeline.predict-v1anchorconf 100% · 105ms · $0.000 · 374 tok

model answer:

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

wrongterminal.fs.tree-v1conf 100% · 297ms · $0.000 · 79 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/build`, `/proj/assets`):

```
/proj/assets/index.cfg
/proj/assets/notes.md
/proj/build/report.log
/proj/draft.cfg
/proj/todo.log
```

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

```sh
touch util-2.cfg
cd src
touch ../../proj/setup-3.txt
cd ../../proj/build
mkdir -p ../../proj/logs-9
rm report.log
rm ../../proj/setup-3.txt
cd ../../proj/assets
mkdir -p src-3
touch draft-3.md
mv ../../proj/util-2.cfg ../../proj/util-8.md
```

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

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

model answer: (none extracted)

correctterminal.pipeline.predict-v1anchorconf 100% · 109ms · $0.000 · 389 tok

model answer: 1

wrongterminal.exit.chain-v1anchorconf 100% · 106ms · $0.000 · 24 tok

model answer:

B
D
E
G
exit:0

wrongterminal.fs.tree-v1anchorconf 100% · 103ms · $0.000 · 78 tok

model answer: (none extracted)

Run history

2026-08-05v0.2.0index_fit539
2026-08-05v0.2.0index_fit539
2026-08-05v0.2.0index_fit538
2026-08-05v0.2.0index_fit538
2026-08-05v0.2.0index_fit540
2026-08-05v0.2.0index_fit541
2026-08-05v0.2.0index_fit544
2026-08-05v0.2.0index_fit545
2026-08-05v0.2.0index_fit548
2026-08-05v0.2.0index_fit549
2026-08-05v0.2.0index_fit550
2026-08-05v0.2.0index_fit551
2026-08-05v0.2.0index_fit550
2026-08-05v0.2.0index_fit549
2026-08-05v0.2.0index_fit548
2026-08-05v0.2.0index_fit550
2026-08-05v0.2.0index_fit551
2026-08-05v0.2.0index_fit552
2026-08-05v0.2.0index_fit551
2026-08-05v0.2.0index_fit550

MMicrosoft: Phi 4

Global Index

Per-domain scores

Every answer, every test

Run history

Microsoft: Phi 4