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Nex AGI: Nex-N2-Mini
nex-agi/nex-n2-mini · nex-agi · context 262 144 · in $0.025/1M · out $0.100/1M
Global Index
745
95% CI [697–793] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 776 [668–884] | 0.707 | 0.77 | 0.87 | 0.000 | 689ms | $0.143 | |
| code | 724 [598–850] | 0.588 | 0.92 | 0.83 | 0.000 | 457ms | $0.044 | |
| instruction following | 668 [542–793] | 0.534 | 0.78 | 0.80 | 0.000 | 458ms | $0.126 | |
| knowledge | 705 [534–877] | 0.542 | 0.87 | 1.00 | 0.000 | 429ms | $0.014 | |
| math | 765 [609–922] | 0.683 | 0.92 | 0.97 | 0.038 | 416ms | $0.034 | |
| multilingual | 819 [654–983] | 0.698 | 1.00 | 1.00 | 0.000 | 440ms | $0.025 | |
| reasoning | 721 [575–867] | 0.659 | 0.93 | 0.93 | 0.077 | 433ms | $0.034 | |
| terminal | 774 [666–883] | 0.681 | 0.88 | 0.83 | 0.000 | 411ms | $0.069 | |
| vision ocr | 752 [581–923] | 0.587 | 1.00 | 1.00 | 0.000 | 1.5s | $0.028 |
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 26/30 correct
correctagentic.tools.ledger-v1conf 100% · 732ms · $0.000 · 533 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: $459
- oscar: $829
- bravo: $569
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $163 from "tango" to "oscar"
2. pay $196 from "oscar" to "bravo"
3. pay $155 from "oscar" to "bravo"
4. pay $207 from "oscar" to "tango"
5. pay $355 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": 163}},
{"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 196}},
{"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 155}},
{"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 207}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 355}}
]correctagentic.tools.context-load-v1conf 100% · 900ms · $0.000 · 1002 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 (241 records, format: id|customer|region|item|qty|status):
```
1684|ember|north|cable|32|paid
2042|fulton|north|valve|95|held
1957|juno|south|pump|38|paid
1292|gale|south|valve|93|held
1984|cobalt|north|sensor|57|held
2117|acme|west|rotor|21|paid
1590|harbor|east|rotor|85|held
1880|gale|east|rotor|72|shipped
1442|harbor|north|gasket|35|paid
1924|juno|south|valve|46|paid
1622|cobalt|east|rotor|45|pending
1501|ember|south|gasket|69|paid
1695|cobalt|south|pump|37|pending
1892|dorian|south|valve|44|held
2158|juno|north|rotor|45|paid
1352|harbor|east|cable|72|shipped
1740|fulton|east|valve|19|shipped
1279|gale|west|rotor|58|held
1298|juno|east|rotor|56|held
1414|dorian|south|frame|53|pending
1577|harbor|east|rotor|96|pending
2132|ionic|north|pump|93|held
1893|ionic|west|frame|72|held
1542|fulton|west|panel|29|held
2056|fulton|south|rotor|46|held
1440|ember|south|rotor|45|pending
1301|juno|east|sensor|70|paid
1992|ember|north|valve|87|paid
2029|dorian|west|rotor|29|pending
1647|dorian|north|pump|85|paid
1489|ionic|west|cable|19|shipped
1876|ember|west|panel|73|paid
1860|harbor|west|cable|29|held
2044|gale|north|rotor|69|held
1909|gale|east|valve|69|shipped
1374|harbor|west|valve|63|held
1454|ember|east|rotor|48|paid
1495|juno|east|cable|98|shipped
2020|birch|north|valve|24|held
1611|ionic|east|panel|65|shipped
1910|harbor|south|cable|13|paid
2008|dorian|south|valve|21|paid
1967|dorian|south|valve|92|paid
2082|fulton|west|panel|29|shipped
1991|birch|north|rotor|67|shipped
2093|acme|south|sensor|74|pending
2064|gale|east|valve|46|held
1960|harbor|east|panel|15|held
1256|dorian|east|gasket|87|pending
1479|harbor|east|frame|50|paid
1617|fulton|west|frame|26|held
1655|fulton|north|sensor|90|paid
1890|harbor|north|rotor|97|held
1879|ember|north|cable|69|shipped
1314|gale|south|rotor|25|held
1644|gale|north|pump|53|shipped
1306|juno|west|sensor|47|held
1510|gale|east|frame|80|pending
1570|juno|east|valve|72|shipped
1378|birch|south|panel|92|shipped
1922|juno|south|gasket|81|pending
1773|cobalt|west|rotor|74|shipped
1674|dorian|west|sensor|18|pending
2000|birch|east|sensor|77|paid
1272|dorian|west|panel|76|shipped
1636|fulton|north|frame|87|pending
1583|gale|north|sensor|90|held
1253|dorian|west|cable|20|pending
1667|harbor|west|valve|72|held
1645|cobalt|east|panel|60|held
1623|acme|north|gasket|19|shipped
1449|juno|east|panel|19|paid
2106|birch|south|valve|62|held
2024|harbor|west|rotor|86|held
1766|acme|south|valve|92|held
1288|birch|north|rotor|89|held
2147|cobalt|west|gasket|52|held
1535|birch|west|gasket|50|paid
1658|dorian|north|gasket|60|pending
1874|acme|north|gasket|28|pending
1912|fulton|north|sensor|48|shipped
1564|acme|east|cable|16|shipped
1363|juno|south|frame|51|pending
1433|cobalt|north|pump|61|held
1348|juno|north|frame|79|pending
2178|ionic|north|valve|63|pending
1735|juno|south|cable|48|shipped
1977|ember|west|valve|29|pending
2092|fulton|north|panel|64|held
1802|ember|south|panel|17|pending
1407|ember|south|cable|25|pending
2126|juno|east|rotor|85|pending
1240|dorian|west|panel|57|pending
1293|harbor|east|cable|26|shipped
2040|birch|east|valve|42|pending
1632|ember|east|rotor|62|paid
1732|harbor|south|pump|54|held
1312|acme|east|sensor|35|paid
2151|fulton|east|pump|73|paid
1431|ionic|north|gasket|10|held
1461|birch|south|valve|61|held
2035|fulton|east|gasket|85|held
1762|cobalt|south|pump|92|held
1807|harbor|east|gasket|91|paid
1705|ember|east|frame|90|paid
2095|fulton|west|valve|98|held
1888|cobalt|west|valve|54|paid
1370|fulton|east|gasket|98|held
1756|cobalt|east|panel|16|paid
1652|cobalt|south|valve|84|paid
1344|fulton|south|sensor|53|held
1424|cobalt|east|sensor|45|held
2137|cobalt|north|panel|50|paid
1642|dorian|south|cable|55|held
2039|cobalt|south|rotor|58|held
1397|ember|west|sensor|79|paid
2168|cobalt|south|valve|20|held
1700|dorian|east|gasket|61|pending
1704|acme|south|frame|81|pending
1681|dorian|south|frame|25|paid
2167|juno|south|gasket|58|shipped
1691|cobalt|south|valve|13|shipped
1597|juno|east|frame|25|held
1699|dorian|south|gasket|34|shipped
1516|ember|south|rotor|64|held
2100|juno|north|gasket|15|held
1546|juno|south|sensor|82|held
1938|ionic|west|rotor|13|shipped
1719|fulton|east|cable|22|held
1867|cobalt|south|gasket|51|shipped
1474|gale|south|sensor|36|paid
1660|ionic|south|sensor|36|held
1942|birch|west|frame|67|pending
1689|acme|south|rotor|36|pending
1447|fulton|east|frame|97|pending
1630|birch|north|rotor|27|paid
1337|ionic|north|panel|66|pending
1361|dorian|east|pump|90|pending
1987|fulton|east|panel|82|pending
1402|gale|south|frame|60|held
1945|ember|west|valve|85|pending
1791|gale|east|frame|20|shipped
1971|ionic|south|rotor|57|held
1853|ionic|east|pump|43|held
2013|acme|west|cable|43|paid
1506|ionic|west|sensor|67|shipped
1841|acme|south|panel|66|paid
1555|juno|south|valve|72|shipped
2149|juno|north|panel|22|pending
2130|ionic|west|rotor|97|shipped
1552|gale|east|pump|92|paid
1985|ember|east|gasket|89|pending
2065|harbor|east|cable|69|paid
1281|dorian|east|frame|47|paid
1385|dorian|north|panel|19|shipped
1785|cobalt|south|gasket|35|shipped
1850|cobalt|east|frame|58|held
1355|juno|south|sensor|84|pending
2142|fulton|east|rotor|26|held
1682|juno|south|valve|46|shipped
2058|ember|north|rotor|68|shipped
1325|juno|west|valve|35|held
1966|juno|north|cable|81|pending
1559|ember|east|panel|41|pending
1678|acme|east|gasket|15|paid
1817|birch|south|gasket|13|shipped
1789|fulton|east|gasket|99|shipped
1822|ionic|west|panel|38|shipped
1872|cobalt|west|rotor|65|shipped
1748|cobalt|east|sensor|91|held
1790|harbor|west|cable|71|pending
1998|ionic|east|panel|71|shipped
1749|harbor|east|sensor|55|pending
1834|juno|south|sensor|31|shipped
1284|acme|east|sensor|73|shipped
1782|juno|north|pump|66|paid
1812|ember|north|sensor|84|shipped
1932|ember|east|rotor|39|shipped
1889|acme|north|cable|95|pending
2183|ionic|east|frame|95|shipped
2017|ionic|north|cable|95|held
2164|birch|south|gasket|53|held
1603|harbor|south|sensor|91|paid
1418|juno|east|valve|46|shipped
1725|gale|east|frame|98|held
2076|fulton|south|rotor|15|paid
1591|juno|west|gasket|44|pending
1714|juno|east|gasket|50|shipped
1607|birch|west|frame|31|shipped
1724|fulton|east|valve|83|pending
1795|gale|south|sensor|45|pending
1931|ionic|south|valve|29|pending
1843|dorian|west|pump|76|paid
1947|cobalt|south|pump|94|paid
1455|dorian|east|gasket|95|pending
1324|cobalt|west|valve|84|shipped
2062|gale|north|panel|64|held
2188|birch|east|gasket|96|held
1902|harbor|south|panel|78|pending
1529|fulton|south|pump|85|pending
1746|acme|north|pump|70|shipped
1265|dorian|west|cable|68|pending
1332|birch|west|panel|30|pending
1505|harbor|west|frame|98|shipped
1541|dorian|east|pump|18|shipped
1242|dorian|north|gasket|42|pending
1410|birch|south|valve|30|paid
2173|cobalt|south|sensor|65|held
2113|ember|south|sensor|29|held
1829|acme|south|frame|99|held
1915|gale|east|pump|65|paid
1396|ionic|west|panel|13|held
1800|juno|north|pump|54|shipped
1391|juno|east|sensor|41|paid
2089|fulton|west|valve|69|shipped
2174|ember|west|gasket|79|held
1777|harbor|west|gasket|96|pending
2049|ionic|north|cable|30|held
2070|ionic|north|cable|14|paid
1467|birch|south|sensor|37|paid
1712|cobalt|west|cable|61|shipped
1891|birch|north|panel|63|held
1484|juno|south|pump|55|held
1557|dorian|west|cable|31|shipped
1249|dorian|west|panel|77|held
1886|gale|west|pump|53|shipped
1943|acme|east|cable|87|pending
2051|gale|west|rotor|70|shipped
1283|birch|north|rotor|16|shipped
1757|juno|south|rotor|49|held
2119|fulton|south|panel|37|held
1899|harbor|west|pump|84|shipped
1708|ionic|west|frame|26|held
1950|harbor|south|gasket|21|shipped
1321|birch|east|frame|44|pending
2006|cobalt|west|valve|47|shipped
1270|dorian|south|frame|52|pending
1522|dorian|south|valve|92|paid
1493|ionic|west|panel|63|paid
1882|ionic|south|valve|74|pending
1258|dorian|west|sensor|23|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 45, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "panel", "qty": 57}},
{"tool": "cancel_order", "args": {"order_id": 1253}},
{"tool": "restock", "args": {"item": "cable", "qty": 68}},
{"tool": "cancel_order", "args": {"order_id": 1674}},
{"tool": "cancel_order", "args": {"order_id": 2029}}
]correctagentic.tools.triage-v1conf 100% · 456ms · $0.000 · 682 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → chen
- payments → tanaka
- infra → okafor
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 8)
2. "card declined at checkout" (category: payments, priority 4)
3. "card declined at checkout" (category: payments, 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": "dashboard shows stale numbers", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.context-load-v1conf 100% · 1.4s · $0.000 · 2929 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 (185 records, format: id|customer|region|item|qty|status):
```
1696|harbor|north|rotor|34|held
1540|ember|south|pump|72|paid
1511|ionic|west|pump|60|pending
2049|birch|west|valve|15|pending
1571|ember|west|panel|39|shipped
1930|fulton|south|cable|61|paid
1620|dorian|east|sensor|30|shipped
2058|acme|east|valve|51|shipped
1926|acme|east|valve|34|pending
1547|ionic|south|gasket|71|held
1587|dorian|east|gasket|19|shipped
1965|gale|west|panel|82|pending
1961|gale|south|panel|87|paid
1786|cobalt|west|cable|22|paid
2003|juno|south|rotor|64|pending
1736|juno|north|valve|32|shipped
1399|acme|south|rotor|25|paid
1418|acme|south|valve|90|paid
1638|acme|south|gasket|68|pending
1703|cobalt|south|frame|51|paid
2099|ionic|west|panel|10|paid
1482|fulton|east|cable|82|paid
1672|harbor|south|valve|47|pending
2020|juno|south|cable|84|paid
1909|birch|south|pump|97|pending
1499|harbor|west|valve|48|pending
1970|fulton|north|valve|99|held
1809|birch|west|valve|27|shipped
2100|acme|north|valve|12|shipped
1552|fulton|east|sensor|52|held
1875|ionic|north|rotor|93|shipped
1507|birch|south|cable|86|pending
1788|acme|west|gasket|34|held
2078|gale|north|cable|19|held
1811|harbor|north|rotor|39|held
1916|harbor|north|panel|43|paid
1451|gale|north|gasket|88|pending
1508|ionic|south|rotor|29|held
1845|dorian|north|gasket|20|held
1594|ionic|south|frame|78|pending
1759|juno|south|valve|18|shipped
1889|ionic|west|valve|43|shipped
1762|ember|north|gasket|11|shipped
2073|cobalt|west|frame|26|pending
2072|juno|west|panel|95|paid
2124|birch|west|sensor|11|pending
1469|juno|north|cable|83|paid
1461|cobalt|east|pump|46|held
2086|juno|east|pump|96|held
1473|dorian|west|pump|77|pending
2033|ember|south|valve|37|pending
1661|ionic|south|frame|16|pending
1851|harbor|east|cable|27|shipped
1498|harbor|east|rotor|88|shipped
1958|ionic|west|sensor|32|paid
1771|birch|east|sensor|52|held
1414|acme|north|valve|13|pending
1402|acme|south|cable|88|pending
2122|fulton|east|panel|79|held
1644|ember|east|cable|51|shipped
1406|acme|west|valve|87|pending
1764|cobalt|north|panel|31|shipped
2027|juno|west|cable|51|paid
1397|acme|west|frame|59|pending
1438|harbor|west|panel|48|shipped
1753|cobalt|south|gasket|19|pending
1624|acme|north|pump|99|pending
1939|ember|east|panel|43|shipped
1610|harbor|south|sensor|69|pending
2000|ember|north|cable|64|shipped
1448|ember|west|rotor|70|pending
1562|ionic|north|sensor|82|paid
1616|fulton|east|cable|39|paid
2022|dorian|west|gasket|52|paid
1798|harbor|east|valve|19|shipped
2106|juno|west|pump|61|shipped
1777|ionic|north|sensor|32|shipped
1724|acme|east|gasket|61|held
1890|birch|south|panel|23|held
1487|birch|north|frame|91|pending
1936|acme|east|valve|76|held
1627|acme|south|pump|88|held
1492|harbor|south|gasket|17|held
1880|fulton|south|valve|20|held
1476|juno|east|pump|78|held
1646|birch|east|gasket|97|paid
2110|ionic|north|gasket|53|shipped
1778|ionic|south|valve|65|pending
1739|gale|north|valve|41|pending
1684|fulton|north|rotor|65|shipped
1601|ember|south|frame|67|held
2017|ember|east|valve|57|pending
1581|ember|west|valve|63|paid
1452|harbor|north|cable|73|held
2057|acme|south|rotor|54|held
2132|cobalt|north|pump|94|paid
1656|gale|north|rotor|21|paid
1521|fulton|south|sensor|42|paid
1444|ionic|north|sensor|94|held
2094|ember|west|panel|30|held
1984|gale|east|valve|38|held
2046|gale|east|sensor|46|held
1686|cobalt|south|sensor|68|held
1751|acme|south|panel|34|paid
1720|gale|east|panel|24|paid
1744|ionic|west|pump|81|held
1988|acme|east|gasket|77|pending
1835|ember|east|gasket|10|paid
2010|gale|east|rotor|34|shipped
1813|gale|east|valve|13|pending
1816|juno|east|cable|39|pending
1678|juno|south|sensor|21|shipped
1682|fulton|north|pump|65|pending
1431|ionic|north|sensor|97|paid
1618|fulton|north|rotor|93|held
2050|gale|east|sensor|59|held
1839|cobalt|south|frame|20|paid
1490|gale|north|valve|87|pending
1919|cobalt|east|panel|45|shipped
1866|juno|south|gasket|53|held
2040|ionic|east|panel|53|pending
1805|ember|north|frame|32|held
2043|dorian|north|rotor|73|pending
1458|harbor|west|cable|80|pending
2116|birch|south|rotor|94|paid
1959|juno|west|rotor|59|paid
2074|juno|north|pump|17|pending
1748|birch|east|rotor|26|pending
2079|dorian|west|rotor|77|held
1425|harbor|west|gasket|81|shipped
1466|acme|west|pump|73|shipped
1900|ionic|west|cable|11|pending
1976|dorian|west|sensor|93|shipped
2087|dorian|east|sensor|94|pending
1395|acme|south|cable|35|pending
1894|birch|east|panel|63|held
1871|acme|east|frame|26|paid
1693|cobalt|west|pump|65|held
1737|juno|north|frame|68|held
1833|ionic|west|panel|69|shipped
1860|juno|north|rotor|46|shipped
1413|acme|south|sensor|65|pending
1631|ember|west|panel|47|pending
1528|fulton|east|rotor|10|held
2065|dorian|south|gasket|53|pending
1794|dorian|south|pump|55|paid
1533|harbor|south|gasket|69|shipped
1728|cobalt|west|pump|80|shipped
2129|birch|north|cable|66|paid
1945|ionic|west|frame|32|held
1652|gale|north|valve|84|pending
1557|gale|west|cable|31|shipped
1567|ember|south|frame|27|paid
1829|dorian|east|rotor|51|held
1605|acme|south|panel|90|shipped
1477|ember|east|frame|95|shipped
2029|birch|west|frame|54|shipped
1503|harbor|east|valve|20|paid
1951|gale|south|frame|90|shipped
2034|harbor|south|cable|38|shipped
2111|acme|east|gasket|66|shipped
1574|gale|east|gasket|93|shipped
1667|birch|north|panel|75|pending
1823|ember|east|panel|18|held
2107|dorian|east|sensor|25|shipped
1709|birch|west|cable|48|paid
1707|ember|east|frame|53|paid
2036|cobalt|west|frame|20|held
2095|birch|east|frame|93|paid
1902|dorian|west|cable|58|shipped
1886|harbor|north|sensor|85|shipped
1877|gale|east|frame|50|paid
1735|harbor|north|pump|60|paid
1578|dorian|west|gasket|46|held
1913|birch|south|gasket|77|shipped
2077|birch|west|sensor|79|paid
1716|cobalt|west|panel|65|pending
1853|birch|north|rotor|41|shipped
1904|juno|north|panel|78|pending
2063|juno|south|valve|76|shipped
1781|ionic|south|cable|80|held
1516|ember|east|rotor|24|shipped
1980|fulton|west|gasket|55|shipped
1994|ember|west|panel|27|held
1409|acme|south|pump|89|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1395}},
{"tool":"restock","args":{"item":"cable","qty":88}},
{"tool":"restock","args":{"item":"sensor","qty":65}},
{"tool":"restock","args":{"item":"gasket","qty":68}}
]correctagentic.tools.deploy-v1conf 100% · 442ms · $0.000 · 493 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: search
- search: (none)
- notifier: billing, reports
- reports: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.2s · $0.000 · 579 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $252
- lima: $307
- kilo: $636
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $89 from "lima" to "bravo"
2. pay $148 from "lima" to "kilo"
3. pay $139 from "lima" to "kilo"
4. pay $220 from "lima" to "bravo"
5. pay $480 from "bravo" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 89}},
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 148}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 69}},
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 139}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 150}},
{"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 220}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 410}},
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 480}}
]correctagentic.tools.triage-v1conf 100% · 380ms · $0.000 · 634 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 → dubois
- infra → silva
- auth → chen
INCIDENTS:
1. "records missing after import" (category: data, priority 5)
2. "records missing after import" (category: data, priority 5)
3. "cannot reset password" (category: auth, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 5
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "chen"
}
}
]correctagentic.tools.deploy-v1conf 100% · 752ms · $0.000 · 342 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: auth-svc, search
- reports: auth-svc, search
- search: 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 "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1conf 100% · 565ms · $0.000 · 498 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: $872
- echo: $679
- oscar: $894
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $228 from "oscar" to "echo"
2. pay $160 from "echo" to "alpha"
3. pay $509 from "oscar" to "alpha"
4. pay $595 from "echo" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 228}},
{"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 160}},
{"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 509}},
{"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 595}}
]correctagentic.tools.context-load-v1conf 100% · 689ms · $0.000 · 2091 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 (148 records, format: id|customer|region|item|qty|status):
```
1279|ember|east|valve|12|held
1272|acme|south|valve|82|pending
1447|birch|west|valve|73|paid
1193|acme|east|pump|13|paid
1304|juno|south|pump|35|paid
1252|gale|west|valve|37|paid
1062|juno|north|gasket|59|pending
1136|acme|west|valve|43|shipped
1332|dorian|west|frame|83|held
1178|harbor|west|panel|43|shipped
1095|cobalt|north|gasket|95|pending
1360|cobalt|east|frame|48|pending
1515|cobalt|west|frame|85|pending
1612|acme|north|valve|57|pending
1522|cobalt|north|panel|89|paid
1462|fulton|south|rotor|86|pending
1563|ember|east|valve|12|paid
1082|harbor|north|cable|42|held
1133|gale|west|frame|43|shipped
1382|birch|east|sensor|49|paid
1546|ionic|north|sensor|38|shipped
1422|ionic|south|gasket|88|held
1491|acme|north|panel|85|pending
1468|juno|west|gasket|39|held
1577|juno|east|cable|54|shipped
1455|juno|north|sensor|95|paid
1345|gale|north|panel|25|pending
1273|birch|south|sensor|82|pending
1352|harbor|north|valve|36|paid
1553|fulton|east|gasket|41|pending
1387|cobalt|north|panel|11|shipped
1326|birch|south|sensor|99|paid
1259|harbor|north|cable|80|shipped
1210|fulton|west|frame|10|paid
1144|juno|west|pump|83|shipped
1530|dorian|east|frame|84|shipped
1058|juno|north|rotor|14|shipped
1373|dorian|east|cable|74|pending
1086|harbor|west|rotor|58|shipped
1378|fulton|east|cable|66|shipped
1247|juno|north|frame|80|held
1223|birch|south|sensor|88|pending
1263|juno|south|cable|34|paid
1371|juno|north|valve|95|paid
1275|harbor|east|panel|49|pending
1585|juno|east|valve|18|held
1268|dorian|east|cable|76|paid
1353|harbor|west|pump|51|pending
1391|harbor|north|panel|86|pending
1363|ionic|north|valve|87|paid
1057|juno|west|pump|93|pending
1192|cobalt|north|valve|28|pending
1300|dorian|west|sensor|77|held
1070|juno|north|pump|92|pending
1202|harbor|east|panel|23|pending
1427|dorian|east|valve|27|shipped
1305|harbor|west|valve|35|shipped
1574|ionic|north|valve|62|held
1568|harbor|north|cable|15|shipped
1413|ionic|east|rotor|45|held
1240|fulton|east|frame|10|shipped
1310|ionic|west|valve|84|paid
1233|juno|west|sensor|88|shipped
1537|cobalt|east|gasket|45|shipped
1198|cobalt|north|pump|20|paid
1042|juno|west|panel|99|pending
1342|acme|south|sensor|80|pending
1479|dorian|west|gasket|10|paid
1120|dorian|west|panel|80|shipped
1278|cobalt|east|rotor|11|held
1490|gale|south|cable|49|paid
1141|birch|north|valve|65|shipped
1500|ember|east|frame|13|held
1505|fulton|west|pump|43|shipped
1183|ember|south|rotor|13|paid
1556|ionic|north|sensor|58|held
1394|acme|east|valve|23|held
1066|juno|north|panel|61|shipped
1519|acme|north|cable|81|pending
1181|gale|south|rotor|55|held
1080|ember|west|cable|57|pending
1205|gale|west|panel|96|shipped
1448|ember|west|valve|13|shipped
1523|ember|east|panel|94|pending
1497|fulton|north|cable|25|pending
1155|juno|west|panel|70|shipped
1159|acme|west|panel|98|held
1232|cobalt|south|valve|56|shipped
1592|cobalt|south|sensor|81|paid
1539|juno|south|valve|27|paid
1039|juno|north|frame|48|pending
1420|gale|west|gasket|22|shipped
1206|cobalt|north|gasket|29|held
1619|juno|north|sensor|91|held
1295|cobalt|east|cable|57|pending
1472|birch|east|pump|96|shipped
1083|juno|west|valve|41|held
1150|birch|south|valve|42|pending
1045|juno|north|rotor|63|paid
1406|fulton|west|panel|20|shipped
1598|ionic|south|frame|46|held
1531|ionic|south|rotor|83|shipped
1186|gale|south|cable|49|held
1603|juno|west|frame|18|pending
1557|dorian|north|panel|15|pending
1430|ember|west|valve|67|shipped
1429|ember|south|valve|60|paid
1125|ember|north|cable|39|held
1425|cobalt|north|panel|32|pending
1312|fulton|south|gasket|32|paid
1486|birch|east|frame|96|held
1510|ember|east|rotor|51|shipped
1113|birch|north|rotor|38|paid
1289|harbor|south|frame|72|pending
1529|harbor|east|rotor|63|held
1346|fulton|north|valve|49|held
1219|birch|west|sensor|23|shipped
1441|harbor|west|valve|98|pending
1064|juno|east|pump|23|pending
1435|ember|east|sensor|50|held
1366|ionic|east|valve|66|paid
1076|juno|north|sensor|28|shipped
1470|harbor|south|gasket|99|shipped
1286|cobalt|west|sensor|12|shipped
1102|fulton|north|panel|24|pending
1092|birch|south|cable|57|pending
1073|juno|west|valve|92|pending
1319|birch|south|gasket|23|held
1400|cobalt|north|panel|36|held
1128|birch|east|gasket|71|paid
1171|gale|north|pump|24|held
1227|juno|east|valve|62|pending
1605|birch|east|frame|34|held
1109|fulton|west|valve|59|shipped
1085|fulton|east|pump|14|pending
1084|birch|west|sensor|66|shipped
1485|acme|west|rotor|98|held
1228|acme|south|frame|53|pending
1506|ember|west|rotor|63|shipped
1167|ionic|east|frame|27|shipped
1165|acme|north|panel|27|paid
1581|acme|east|valve|79|held
1338|dorian|west|cable|40|held
1124|acme|south|gasket|53|pending
1052|juno|north|gasket|47|pending
1401|acme|south|sensor|55|held
1216|harbor|north|frame|23|shipped
1242|ember|west|rotor|26|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1039}},
{"tool": "cancel_order", "args": {"order_id": 1052}},
{"tool": "cancel_order", "args": {"order_id": 1062}},
{"tool": "restock", "args": {"item": "pump", "qty": 92}}
]correctagentic.tools.triage-v1conf 100% · 809ms · $0.000 · 883 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → haddad
- payments → novak
- auth → rivera
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 9)
2. "card declined at checkout" (category: payments, priority 9)
3. "locked out after 2FA change" (category: auth, priority 4)
4. "locked out after 2FA change" (category: auth, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 4
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-3"
}
}
]correctagentic.tools.deploy-v1conf 100% · 413ms · $0.000 · 421 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: auth-svc
- billing: auth-svc
- notifier: billing
- 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 "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]correctagentic.tools.ledger-v1conf 100% · 432ms · $0.000 · 610 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: $524
- lima: $524
- tango: $411
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $122 from "tango" to "lima"
2. pay $471 from "lima" to "tango"
3. pay $571 from "alpha" to "tango"
4. pay $386 from "tango" to "lima"
5. pay $469 from "tango" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 122}},
{"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 471}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 47}},
{"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 571}},
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 386}},
{"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 469}}
]correctagentic.tools.context-load-v1conf 100% · 661ms · $0.001 · 5764 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 (288 records, format: id|customer|region|item|qty|status):
```
2496|cobalt|south|frame|66|paid
2552|acme|east|frame|50|held
2127|ember|south|rotor|73|pending
2578|ionic|east|pump|26|pending
1952|juno|south|rotor|51|held
2464|acme|south|pump|27|paid
1698|cobalt|north|valve|89|held
1755|fulton|south|cable|16|pending
2189|acme|west|valve|30|pending
1851|fulton|south|gasket|75|held
1737|harbor|south|cable|73|held
1556|cobalt|south|valve|87|pending
1935|acme|east|rotor|51|pending
1578|ember|north|rotor|48|shipped
2335|birch|south|frame|13|paid
1525|ember|east|panel|77|shipped
2356|gale|west|cable|58|pending
2064|harbor|north|panel|44|held
1884|fulton|east|gasket|77|shipped
1726|ionic|west|valve|35|pending
1512|acme|north|cable|40|paid
1657|fulton|south|cable|73|shipped
1537|fulton|east|panel|32|shipped
2333|ionic|north|gasket|92|shipped
1604|fulton|south|pump|18|shipped
2300|birch|west|panel|23|pending
1963|birch|west|gasket|42|held
2513|acme|north|frame|16|pending
2143|dorian|north|sensor|25|held
1586|dorian|west|cable|86|held
1579|gale|south|cable|29|held
2133|ember|west|frame|89|pending
1626|ionic|west|rotor|13|paid
2136|harbor|east|sensor|50|paid
2404|gale|north|gasket|85|held
2476|fulton|north|pump|27|pending
2391|acme|east|cable|38|held
1498|harbor|north|pump|66|pending
1978|ionic|west|gasket|83|pending
2425|acme|east|valve|27|pending
2251|ember|east|panel|53|held
2035|gale|north|cable|34|held
2433|fulton|east|rotor|43|held
2057|cobalt|west|rotor|78|paid
2110|ionic|south|pump|13|pending
2079|harbor|north|valve|49|paid
2106|dorian|south|sensor|37|held
2125|ionic|east|cable|29|held
2214|acme|north|pump|97|shipped
1763|birch|north|panel|84|paid
2573|ionic|west|rotor|81|held
2441|ionic|east|cable|75|pending
2119|harbor|north|pump|81|held
1572|cobalt|south|frame|11|shipped
2423|gale|north|valve|50|paid
1642|gale|east|pump|16|pending
1972|gale|south|rotor|74|pending
2059|harbor|south|panel|56|pending
2222|fulton|south|gasket|69|pending
2266|ember|north|gasket|62|paid
1688|cobalt|east|frame|12|held
1671|ember|west|pump|89|held
2541|fulton|south|cable|42|paid
2269|harbor|north|pump|20|pending
2592|gale|north|panel|38|shipped
1819|gale|north|frame|51|paid
1593|gale|south|cable|79|pending
2387|ember|east|gasket|51|paid
1546|birch|east|frame|77|held
2446|ember|east|panel|67|pending
1524|fulton|west|rotor|85|held
2558|acme|west|cable|78|pending
2233|ionic|north|valve|32|shipped
2200|acme|west|valve|84|held
2116|birch|south|pump|18|paid
2490|ember|south|valve|28|shipped
2367|dorian|north|gasket|47|pending
2177|acme|north|panel|53|shipped
1985|fulton|south|panel|50|shipped
2027|dorian|south|pump|96|held
1938|cobalt|north|pump|16|pending
1918|harbor|east|frame|92|held
2193|gale|east|rotor|61|held
1523|gale|south|cable|92|shipped
1577|ionic|east|pump|44|held
2504|fulton|west|panel|99|paid
2613|dorian|west|gasket|39|paid
2156|fulton|west|cable|25|held
1880|juno|west|frame|69|shipped
2641|harbor|north|pump|17|pending
2500|harbor|east|gasket|33|shipped
2022|juno|west|gasket|46|pending
2173|fulton|west|cable|14|shipped
1849|juno|west|valve|77|paid
1704|juno|west|sensor|19|shipped
2254|dorian|south|frame|45|paid
2047|juno|west|sensor|22|paid
1636|gale|north|gasket|97|shipped
1758|dorian|north|frame|60|pending
1936|ember|west|valve|61|paid
2316|dorian|north|gasket|69|pending
2426|ember|south|valve|40|shipped
2529|ember|north|pump|63|paid
1943|harbor|south|frame|29|shipped
1594|juno|south|gasket|82|paid
2095|gale|south|panel|75|paid
1837|harbor|east|pump|16|shipped
2002|fulton|north|sensor|76|shipped
2077|acme|north|frame|69|pending
2346|ionic|east|cable|82|pending
2349|fulton|west|rotor|93|paid
1774|dorian|east|panel|54|pending
2548|juno|south|cable|47|shipped
1764|gale|east|sensor|69|pending
2507|birch|north|valve|76|held
2314|cobalt|south|rotor|40|paid
1898|birch|south|sensor|10|held
2071|birch|north|panel|81|paid
2198|fulton|north|panel|82|held
2310|harbor|north|gasket|30|held
2421|harbor|north|gasket|99|held
2021|cobalt|north|cable|74|pending
2008|dorian|north|sensor|90|paid
2357|dorian|north|valve|35|held
2597|cobalt|north|gasket|95|pending
2330|birch|east|valve|25|pending
2109|cobalt|south|gasket|70|paid
1596|dorian|north|sensor|35|pending
2271|dorian|north|gasket|53|pending
1466|harbor|west|cable|43|pending
2024|gale|south|sensor|72|pending
1732|juno|south|panel|42|pending
2628|juno|north|pump|84|paid
1877|fulton|north|valve|87|held
1542|dorian|south|valve|69|held
1694|gale|south|valve|16|shipped
2258|gale|east|panel|86|held
1924|harbor|north|panel|33|shipped
1651|birch|north|cable|76|held
1691|fulton|north|cable|50|shipped
1747|harbor|west|frame|13|held
2623|harbor|south|panel|74|shipped
1532|juno|east|valve|66|paid
2535|ionic|north|rotor|16|paid
1858|acme|west|valve|94|held
2478|ember|south|cable|38|paid
1929|juno|west|gasket|76|paid
2582|ember|south|sensor|15|pending
1581|harbor|west|valve|48|pending
2562|harbor|west|rotor|86|paid
2457|ionic|west|panel|24|pending
1845|juno|north|panel|25|held
2525|dorian|south|gasket|34|shipped
2434|dorian|north|rotor|29|held
1950|gale|south|frame|70|paid
2184|ionic|south|cable|51|held
1794|fulton|west|panel|63|paid
1752|harbor|east|pump|62|held
1608|cobalt|south|rotor|35|pending
1649|birch|west|frame|28|paid
1778|dorian|west|cable|70|paid
1492|harbor|north|frame|45|paid
2635|fulton|south|rotor|42|paid
1480|harbor|north|panel|72|pending
1683|acme|west|rotor|68|held
2373|fulton|west|rotor|41|pending
2488|juno|south|rotor|87|held
2363|juno|north|pump|65|pending
2483|ember|south|pump|24|pending
2086|harbor|north|valve|40|shipped
2603|harbor|north|gasket|98|pending
1553|acme|east|pump|70|pending
1887|dorian|west|rotor|48|shipped
2291|gale|west|sensor|72|paid
2469|ionic|west|cable|28|pending
2028|birch|south|rotor|14|held
1840|gale|north|gasket|85|paid
2215|dorian|north|panel|26|pending
2244|cobalt|south|valve|70|paid
1864|harbor|north|frame|49|shipped
2439|ember|west|gasket|42|paid
2237|harbor|west|cable|85|held
2450|acme|west|cable|68|shipped
2264|fulton|south|cable|30|pending
2007|fulton|north|frame|83|held
1676|juno|west|panel|88|pending
1812|dorian|west|gasket|55|shipped
1986|ember|south|valve|39|pending
2051|acme|north|frame|79|paid
2105|gale|west|rotor|57|pending
1711|birch|north|pump|43|pending
1983|juno|east|cable|67|shipped
2399|birch|south|valve|42|held
2146|acme|south|panel|69|paid
2093|juno|east|valve|50|shipped
2277|fulton|west|frame|71|pending
1687|acme|south|pump|56|pending
2281|birch|east|frame|41|held
1522|harbor|south|gasket|27|paid
1892|cobalt|south|frame|59|paid
2303|fulton|south|gasket|72|shipped
2015|fulton|north|sensor|89|pending
2152|dorian|north|rotor|18|shipped
1790|gale|west|gasket|51|paid
2477|cobalt|west|pump|52|pending
1957|ionic|west|gasket|94|pending
2096|gale|east|valve|10|shipped
2619|cobalt|east|panel|94|pending
2040|fulton|west|valve|67|shipped
1771|ionic|west|rotor|16|pending
2599|ionic|west|panel|60|shipped
2331|birch|south|cable|74|held
1472|harbor|south|cable|44|pending
2398|cobalt|east|valve|45|held
1565|harbor|west|cable|63|paid
2458|ember|north|pump|51|paid
1807|fulton|west|cable|61|shipped
2567|dorian|north|valve|27|held
2223|ionic|west|cable|78|pending
2167|ionic|east|gasket|35|pending
2341|acme|west|gasket|51|held
1667|juno|south|cable|67|pending
2412|juno|south|rotor|50|held
2013|birch|east|sensor|96|paid
2380|ember|west|valve|33|pending
2609|harbor|west|gasket|91|held
1784|dorian|south|valve|61|held
1661|gale|west|cable|55|pending
1518|gale|west|valve|49|pending
2640|juno|south|valve|63|held
1719|juno|west|rotor|97|paid
2320|cobalt|east|pump|43|shipped
1633|acme|north|valve|59|paid
2559|dorian|north|gasket|85|held
1669|ember|west|cable|53|paid
1828|dorian|south|frame|31|held
1904|juno|south|rotor|32|held
2632|dorian|south|gasket|95|pending
1968|acme|east|sensor|50|paid
2284|birch|south|gasket|56|paid
1468|harbor|north|rotor|22|pending
2229|juno|south|frame|78|shipped
2294|gale|east|cable|52|pending
2161|fulton|west|cable|26|held
1857|ember|south|pump|92|held
1554|ember|west|pump|33|pending
2324|gale|north|sensor|39|paid
2443|birch|east|sensor|40|shipped
2397|ionic|north|gasket|64|held
2323|fulton|south|frame|88|held
2207|ember|north|valve|10|paid
1467|harbor|north|cable|12|held
2467|birch|east|gasket|18|paid
2587|dorian|east|valve|43|held
1545|fulton|south|pump|25|shipped
1993|gale|south|valve|32|held
1681|acme|east|rotor|19|shipped
1740|gale|east|valve|55|shipped
2498|ionic|east|gasket|79|held
1559|fulton|west|rotor|83|shipped
1756|juno|west|gasket|67|pending
1871|fulton|west|valve|84|shipped
1620|acme|east|rotor|72|pending
1477|harbor|north|frame|17|shipped
2150|fulton|west|rotor|40|held
2038|acme|north|frame|34|shipped
1613|harbor|east|cable|78|held
1486|harbor|west|frame|33|pending
1801|ionic|east|sensor|99|pending
1821|juno|south|frame|38|pending
1600|acme|south|frame|18|held
1911|juno|north|sensor|89|paid
2489|ember|east|panel|99|paid
2519|fulton|east|frame|91|paid
1998|ember|south|valve|90|paid
2598|birch|south|frame|30|paid
2407|fulton|north|sensor|11|shipped
1503|harbor|west|cable|84|pending
1835|birch|east|frame|39|paid
1460|harbor|north|sensor|98|pending
2132|ember|west|sensor|89|paid
1712|cobalt|south|frame|10|held
1602|birch|north|pump|95|held
2372|cobalt|south|valve|19|held
1510|harbor|north|cable|49|held
2099|gale|south|pump|12|paid
1665|dorian|south|frame|78|paid
2414|fulton|north|valve|83|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 44, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "sensor", "qty": 98}},
{"tool": "cancel_order", "args": {"order_id": 1468}},
{"tool": "restock", "args": {"item": "panel", "qty": 72}},
{"tool": "restock", "args": {"item": "pump", "qty": 66}},
{"tool": "cancel_order", "args": {"order_id": 2269}},
{"tool": "restock", "args": {"item": "gasket", "qty": 98}},
{"tool": "cancel_order", "args": {"order_id": 2641}}
]correctagentic.tools.context-load-v1conf 100% · 779ms · $0.000 · 3022 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 (126 records, format: id|customer|region|item|qty|status):
```
1488|acme|east|frame|27|held
1492|fulton|east|panel|42|pending
1444|birch|east|sensor|63|held
1395|ember|east|rotor|30|paid
1784|acme|west|valve|69|held
1451|juno|west|panel|55|paid
1617|ionic|west|cable|87|shipped
1735|acme|south|sensor|40|pending
1462|ember|east|valve|69|shipped
1763|harbor|west|sensor|69|pending
1515|birch|west|valve|89|shipped
1683|cobalt|east|valve|55|shipped
1384|ember|north|pump|18|pending
1797|birch|east|sensor|41|shipped
1661|fulton|west|cable|33|pending
1789|ionic|north|valve|33|shipped
1815|ember|west|panel|81|paid
1564|juno|north|frame|17|held
1387|ember|east|frame|52|shipped
1592|dorian|west|cable|90|paid
1705|juno|west|panel|41|paid
1834|dorian|north|rotor|68|shipped
1838|ionic|north|sensor|41|paid
1689|juno|south|valve|55|shipped
1484|ionic|east|pump|20|shipped
1364|ember|east|frame|60|held
1517|gale|north|rotor|34|pending
1366|ember|east|frame|61|pending
1470|birch|west|cable|80|shipped
1736|gale|south|pump|40|shipped
1548|acme|south|valve|10|held
1545|ember|south|pump|61|held
1723|ionic|south|frame|49|held
1571|fulton|east|frame|82|held
1358|ember|west|valve|69|pending
1579|birch|west|cable|83|paid
1590|birch|west|cable|56|paid
1437|cobalt|south|rotor|23|shipped
1399|ember|south|panel|38|pending
1821|cobalt|east|valve|82|shipped
1716|ember|east|gasket|57|paid
1414|birch|east|rotor|66|held
1525|juno|east|gasket|21|paid
1501|cobalt|south|pump|69|paid
1526|birch|west|valve|54|held
1649|acme|south|gasket|52|pending
1648|birch|south|pump|30|shipped
1604|gale|north|frame|17|held
1464|ionic|south|pump|60|held
1546|dorian|west|rotor|91|paid
1628|harbor|east|frame|73|paid
1603|juno|south|rotor|41|paid
1670|cobalt|north|pump|80|shipped
1826|gale|west|panel|34|held
1584|birch|west|sensor|85|shipped
1476|dorian|north|sensor|25|pending
1519|ionic|west|panel|13|pending
1823|cobalt|south|rotor|18|shipped
1503|cobalt|east|frame|72|paid
1467|juno|west|rotor|47|pending
1808|birch|east|rotor|66|held
1839|gale|west|rotor|14|shipped
1418|ember|north|pump|81|shipped
1638|juno|east|pump|81|pending
1634|birch|east|cable|15|held
1829|ionic|south|gasket|24|held
1574|cobalt|north|rotor|80|shipped
1508|ember|north|sensor|49|pending
1412|acme|north|frame|75|paid
1804|ember|south|gasket|77|shipped
1641|gale|north|gasket|62|shipped
1433|ember|west|gasket|61|paid
1429|dorian|south|cable|25|pending
1621|fulton|south|cable|65|shipped
1746|acme|west|rotor|20|pending
1543|acme|south|frame|29|held
1709|harbor|west|gasket|61|shipped
1769|acme|west|gasket|81|paid
1439|dorian|west|rotor|17|shipped
1700|ionic|east|gasket|46|held
1664|juno|west|pump|25|shipped
1406|ember|east|sensor|41|shipped
1684|ionic|west|valve|64|shipped
1751|gale|west|sensor|21|shipped
1380|ember|east|cable|85|pending
1374|ember|east|sensor|62|paid
1496|dorian|south|sensor|76|shipped
1465|ember|west|sensor|77|pending
1612|gale|north|gasket|32|pending
1810|cobalt|south|pump|57|pending
1758|ionic|north|gasket|63|paid
1762|acme|south|frame|95|pending
1588|harbor|east|cable|78|held
1730|cobalt|east|valve|29|pending
1532|dorian|west|pump|67|paid
1774|ember|east|pump|76|pending
1392|ember|west|valve|84|pending
1388|ember|east|cable|55|pending
1704|fulton|north|cable|11|shipped
1557|ionic|east|rotor|10|paid
1480|ember|east|frame|24|held
1423|ionic|east|sensor|94|shipped
1642|cobalt|south|panel|30|pending
1516|fulton|north|cable|34|held
1522|harbor|south|rotor|86|paid
1792|cobalt|south|sensor|47|pending
1357|ember|east|rotor|76|pending
1608|ember|south|cable|88|held
1500|dorian|south|rotor|87|pending
1458|fulton|east|sensor|75|pending
1598|dorian|west|valve|40|shipped
1505|cobalt|south|cable|49|held
1778|birch|west|sensor|91|paid
1694|harbor|east|sensor|73|paid
1368|ember|north|pump|30|pending
1537|fulton|north|valve|19|held
1635|fulton|west|sensor|70|shipped
1553|harbor|south|panel|39|paid
1677|harbor|west|valve|17|pending
1499|juno|east|frame|16|pending
1397|ember|east|cable|34|pending
1668|ionic|south|pump|45|shipped
1578|ionic|east|cable|18|shipped
1654|fulton|west|cable|91|pending
1662|cobalt|north|panel|92|shipped
1743|harbor|south|panel|71|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 50, 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": "restock", "args": {"item": "frame", "qty": 61}},
{"tool": "restock", "args": {"item": "cable", "qty": 85}},
{"tool": "restock", "args": {"item": "cable", "qty": 55}},
{"tool": "cancel_order", "args": {"order_id": 1397}},
{"tool": "restock", "args": {"item": "pump", "qty": 76}}
]correctagentic.tools.triage-v1conf 100% · 885ms · $0.000 · 600 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → haddad
- payments → chen
- infra → rivera
INCIDENTS:
1. "export file corrupted" (category: data, priority 8)
2. "export file corrupted" (category: data, priority 8)
3. "uploads failing intermittently" (category: infra, priority 5)
4. "dashboard shows stale numbers" (category: data, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-4"}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}}
]correctagentic.tools.deploy-v1conf 100% · 834ms · $0.000 · 756 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: notifier
- billing: (none)
- notifier: billing, gateway
- gateway: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" 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": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}}
]correctagentic.tools.ledger-v1conf 100% · 401ms · $0.000 · 606 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $288
- delta: $849
- tango: $697
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $352 from "bravo" to "delta"
2. pay $358 from "tango" to "delta"
3. pay $472 from "delta" to "tango"
4. pay $172 from "delta" to "bravo"
5. pay $266 from "delta" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 64}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 352}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 358}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 472}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 172}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 266}}
]correctagentic.tools.triage-v1conf 100% · 395ms · $0.000 · 535 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → haddad
- infra → novak
- auth → silva
INCIDENTS:
1. "refund double-charged" (category: payments, priority 4)
2. "API latency spikes" (category: infra, priority 2)
3. "API latency spikes" (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": "refund double-charged",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 2
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
}
]correctagentic.tools.deploy-v1conf 100% · 1.3s · $0.000 · 536 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: auth-svc
- search: auth-svc
- auth-svc: (none)
- billing: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}}
]wrongagentic.tools.context-load-v1conf 100% · 1.9s · $0.000 · 2122 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 (221 records, format: id|customer|region|item|qty|status):
```
1738|birch|north|rotor|65|held
1240|fulton|east|sensor|88|held
1127|cobalt|north|rotor|60|held
1462|juno|north|panel|82|pending
1820|dorian|north|cable|87|held
1476|ember|south|panel|42|held
1292|ember|north|panel|92|shipped
1363|gale|north|frame|30|pending
1524|harbor|west|pump|59|paid
1133|harbor|north|panel|90|shipped
1118|acme|north|frame|65|held
1805|harbor|west|sensor|10|paid
1180|cobalt|east|rotor|30|held
1753|fulton|south|panel|34|paid
1339|ember|south|rotor|61|pending
1596|cobalt|east|sensor|79|paid
1356|juno|east|valve|19|paid
1852|acme|north|frame|90|shipped
1797|ionic|east|cable|39|held
1445|acme|west|panel|26|held
1762|juno|south|sensor|95|paid
1924|juno|west|frame|99|paid
1430|gale|east|rotor|65|pending
1843|fulton|north|sensor|23|pending
1591|harbor|east|cable|16|shipped
1299|fulton|east|valve|65|held
1161|fulton|east|panel|95|pending
1720|gale|west|cable|95|held
1226|fulton|east|valve|71|shipped
1369|fulton|east|pump|98|pending
1262|harbor|south|cable|14|held
1669|acme|west|frame|78|paid
1675|juno|west|pump|82|shipped
1625|gale|east|pump|14|shipped
1417|harbor|north|sensor|11|held
1601|ionic|east|sensor|15|pending
1096|acme|north|rotor|48|pending
1478|ember|west|sensor|56|pending
1870|ionic|south|sensor|94|paid
1914|juno|south|pump|59|shipped
1557|ember|west|sensor|46|held
1342|ionic|south|panel|57|shipped
1531|fulton|west|gasket|73|pending
1654|ionic|east|rotor|20|shipped
1120|dorian|east|cable|45|shipped
1411|dorian|south|rotor|13|paid
1535|ionic|east|sensor|12|pending
1824|ionic|west|cable|30|shipped
1887|cobalt|east|cable|52|shipped
1688|fulton|west|panel|80|pending
1764|fulton|east|gasket|33|paid
1576|fulton|south|cable|80|shipped
1539|dorian|north|pump|88|paid
1749|fulton|north|sensor|21|paid
1316|acme|east|frame|55|shipped
1220|harbor|east|sensor|55|paid
1659|dorian|south|valve|11|paid
1283|cobalt|west|frame|33|held
1393|dorian|north|panel|67|pending
1443|acme|north|rotor|12|shipped
1648|gale|south|cable|26|shipped
1777|acme|south|panel|96|held
1205|ember|south|gasket|63|paid
1909|gale|east|sensor|72|held
1626|harbor|west|sensor|14|paid
1137|ember|south|panel|53|paid
1815|harbor|south|sensor|12|paid
1716|acme|east|pump|12|held
1706|acme|north|gasket|68|paid
1729|birch|south|frame|55|shipped
1770|acme|west|sensor|26|held
1609|juno|east|panel|58|paid
1635|cobalt|north|pump|59|shipped
1398|dorian|south|gasket|63|held
1238|ionic|east|sensor|81|paid
1489|acme|north|gasket|67|pending
1287|harbor|west|pump|92|shipped
1863|gale|east|panel|34|held
1727|birch|east|valve|73|pending
1571|fulton|west|cable|28|shipped
1304|gale|west|gasket|57|paid
1310|fulton|north|gasket|91|held
1192|dorian|east|panel|97|pending
1457|fulton|south|cable|55|shipped
1901|ember|south|panel|93|paid
1306|fulton|south|cable|36|shipped
1186|dorian|west|valve|61|held
1099|acme|west|sensor|90|pending
1831|dorian|south|cable|26|pending
1638|fulton|east|sensor|35|paid
1490|acme|west|valve|72|paid
1288|cobalt|west|cable|67|paid
1108|acme|north|sensor|36|pending
1711|cobalt|west|sensor|19|held
1158|cobalt|east|cable|85|pending
1111|acme|south|cable|95|pending
1319|acme|east|gasket|84|paid
1090|acme|east|rotor|71|pending
1301|ember|west|valve|82|paid
1472|harbor|east|sensor|70|paid
1487|fulton|north|rotor|94|shipped
1876|ember|north|valve|62|pending
1604|dorian|north|frame|98|pending
1381|birch|south|rotor|86|held
1272|birch|south|panel|61|paid
1787|juno|east|rotor|12|pending
1483|gale|north|gasket|42|paid
1781|juno|south|pump|63|held
1354|juno|north|sensor|89|paid
1913|ember|south|gasket|69|shipped
1257|gale|north|frame|93|pending
1900|fulton|west|gasket|12|shipped
1276|juno|west|frame|24|shipped
1499|fulton|west|pump|27|paid
1612|cobalt|north|gasket|12|pending
1368|ember|east|pump|74|pending
1590|juno|south|panel|42|shipped
1252|harbor|west|pump|82|pending
1197|harbor|west|frame|25|paid
1581|acme|north|rotor|38|pending
1911|acme|north|cable|97|pending
1172|juno|north|cable|28|pending
1799|juno|west|pump|31|pending
1380|gale|north|gasket|50|shipped
1587|fulton|south|valve|31|held
1279|fulton|south|panel|79|paid
1620|cobalt|west|cable|15|held
1213|dorian|south|pump|76|pending
1681|gale|south|rotor|63|shipped
1873|harbor|west|gasket|79|paid
1450|harbor|west|frame|88|paid
1628|ionic|north|sensor|20|pending
1780|gale|north|rotor|99|held
1570|cobalt|east|frame|50|paid
1842|cobalt|east|cable|40|shipped
1268|birch|south|frame|39|paid
1375|gale|east|frame|30|held
1334|dorian|west|gasket|17|shipped
1747|gale|south|panel|96|pending
1404|cobalt|east|valve|47|pending
1642|fulton|south|sensor|81|paid
1503|gale|north|gasket|36|shipped
1300|ionic|west|pump|86|shipped
1232|ionic|south|sensor|23|paid
1352|fulton|south|panel|39|held
1203|dorian|north|gasket|35|shipped
1593|dorian|south|cable|58|paid
1344|ember|east|panel|17|paid
1904|acme|east|rotor|28|shipped
1564|fulton|north|frame|90|paid
1351|juno|west|pump|76|pending
1662|birch|north|frame|53|held
1202|acme|south|panel|51|pending
1520|gale|west|frame|49|paid
1325|acme|west|valve|23|paid
1695|dorian|south|rotor|43|shipped
1255|ember|north|frame|45|shipped
1415|birch|south|frame|83|pending
1926|acme|west|cable|16|held
1653|ember|north|valve|24|pending
1859|birch|south|frame|75|held
1166|dorian|east|valve|79|shipped
1222|fulton|west|sensor|55|pending
1664|ember|north|valve|25|paid
1839|ionic|north|valve|99|shipped
1806|cobalt|south|rotor|91|paid
1741|gale|north|pump|34|held
1823|harbor|west|panel|17|held
1224|ember|south|gasket|90|paid
1692|harbor|south|cable|26|paid
1836|fulton|south|valve|43|pending
1917|juno|east|gasket|93|paid
1746|harbor|south|sensor|44|shipped
1893|cobalt|south|gasket|76|held
1152|juno|south|rotor|11|held
1544|gale|north|valve|69|held
1835|acme|east|panel|19|paid
1179|cobalt|north|rotor|90|shipped
1212|fulton|west|gasket|72|pending
1810|gale|west|frame|68|pending
1387|fulton|south|gasket|56|shipped
1266|acme|south|valve|15|pending
1469|acme|south|cable|79|shipped
1566|acme|south|gasket|10|shipped
1514|juno|west|pump|61|held
1142|harbor|north|sensor|96|shipped
1698|ionic|north|sensor|37|paid
1860|acme|west|sensor|62|paid
1328|dorian|west|frame|32|shipped
1145|gale|west|sensor|16|held
1793|ember|east|valve|53|paid
1869|harbor|north|panel|16|pending
1732|gale|east|gasket|85|pending
1510|juno|south|pump|41|pending
1315|acme|north|frame|67|paid
1425|juno|north|rotor|17|held
1436|harbor|east|valve|67|held
1497|dorian|south|gasket|45|shipped
1085|acme|north|frame|30|pending
1101|acme|north|pump|58|shipped
1880|cobalt|north|gasket|36|paid
1723|ember|east|panel|57|paid
1420|gale|south|frame|55|paid
1550|acme|south|panel|96|shipped
1703|birch|north|gasket|51|paid
1763|juno|west|panel|69|pending
1621|ember|north|valve|54|shipped
1846|ionic|west|cable|34|paid
1215|fulton|west|sensor|23|held
1830|ionic|west|sensor|44|shipped
1927|gale|south|gasket|17|shipped
1519|gale|west|rotor|90|paid
1755|harbor|south|rotor|54|held
1530|dorian|south|gasket|28|shipped
1772|juno|south|valve|83|paid
1092|acme|north|sensor|91|shipped
1246|gale|west|frame|63|held
1868|cobalt|south|cable|42|shipped
1613|acme|north|panel|87|pending
1312|harbor|east|rotor|11|pending
1733|gale|east|pump|50|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 70, 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": 1085}},
{"tool": "cancel_order", "args": {"order_id": 1096}},
{"tool": "cancel_order", "args": {"order_id": 1489}},
{"tool": "cancel_order", "args": {"order_id": 1581}},
{"tool": "restock", "args": {"item": "panel", "qty": 87}},
{"tool": "restock", "args": {"item": "cable", "qty": 97}}
]correctagentic.tools.ledger-v1conf 100% · 428ms · $0.000 · 753 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: $178
- kilo: $265
- delta: $436
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $302 from "oscar" to "kilo"
2. pay $166 from "delta" to "oscar"
3. pay $580 from "oscar" to "kilo"
4. pay $376 from "delta" to "kilo"
5. pay $202 from "kilo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 124}},
{"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 302}},
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 166}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 414}},
{"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 580}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 106}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 376}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 202}}
]correctagentic.tools.triage-v1conf 100% · 427ms · $0.000 · 509 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → tanaka
- payments → silva
- infra → dubois
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 7)
2. "SSO loop on login" (category: auth, priority 7)
3. "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": "SSO loop on login", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}}
]correctagentic.tools.context-load-v1anchorconf 100% · 947ms · $0.000 · 3142 tok
model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}}
]wrongagentic.tools.deploy-v1conf 100% · 411ms · $0.000 · 307 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: auth-svc
- auth-svc: (none)
- billing: auth-svc, notifier
- search: auth-svc, notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "billing"}}
]correctagentic.tools.ledger-v1conf 100% · 1.1s · $0.000 · 664 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: $423
- alpha: $615
- bravo: $246
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $440 from "alpha" to "bravo"
2. pay $357 from "kilo" to "alpha"
3. pay $307 from "kilo" to "bravo"
4. pay $549 from "bravo" 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": "alpha", "to": "bravo", "amount": 440}},
{"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 357}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 241}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 307}},
{"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 549}}
]correctagentic.tools.triage-v1conf 100% · 402ms · $0.000 · 708 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → chen
- auth → haddad
- data → tanaka
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 8)
2. "locked out after 2FA change" (category: auth, priority 9)
3. "locked out after 2FA change" (category: auth, priority 9)
4. "API latency spikes" (category: infra, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 8
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "haddad"
}
},
{
"tool": "create_ticket",
"args": {
"title": "locked out after 2FA change",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-2"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "chen"
}
}
]correctagentic.tools.deploy-v1anchorconf 100% · 1.1s · $0.000 · 578 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1anchorconf 100% · 431ms · $0.000 · 689 tok
model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.ledger-v1anchorconf 100% · 659ms · $0.000 · 588 tok
model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]code 25/30 correct
correctcode.trace.js-v1conf 100% · 1.4s · $0.000 · 140 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]; const out = arr .map(n => n * 2) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
108correctcode.trace.python-v1conf 100% · 679ms · $0.000 · 948 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 14
while total + v <= 47:
if v % 5 != 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:
37correctcode.trace.nested-v1conf 100% · 1.0s · $0.000 · 554 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) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
80correctcode.trace.nested-v1conf 100% · 403ms · $0.000 · 532 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:
163wrongcode.trace.js-v1conf 100% · 1.1s · $0.000 · 165 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 2) .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:
24correctcode.trace.python-v1conf 100% · 408ms · $0.000 · 229 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 11
while total + v <= 40:
if v % 4 != 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:
40correctcode.trace.nested-v1conf 100% · 396ms · $0.000 · 495 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
201correctcode.trace.js-v1conf 100% · 721ms · $0.000 · 228 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 4) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
156correctcode.trace.python-v1conf 100% · 431ms · $0.000 · 393 tok
question
What does this Python program print?
```python
total = 0
v = 2
while total + v <= 114:
if v % 5 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
101wrongcode.trace.nested-v1conf 100% · 517ms · $0.000 · 511 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
360correctcode.trace.js-v1conf 100% · 413ms · $0.000 · 113 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 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:
72correctcode.trace.python-v1conf 100% · 403ms · $0.000 · 252 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 11
while total + v <= 60:
if v % 6 != 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:
57correctcode.trace.js-v1conf 100% · 1.2s · $0.000 · 389 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 6) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
858wrongcode.trace.nested-v1conf 100% · 690ms · $0.000 · 577 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
174correctcode.trace.python-v1conf 100% · 418ms · $0.000 · 485 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 8
while total + v <= 101:
if v % 6 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
72correctcode.trace.nested-v1conf 100% · 411ms · $0.000 · 488 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) % 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:
108correctcode.trace.js-v1conf 100% · 393ms · $0.000 · 166 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 * 3) .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:
195correctcode.trace.js-v1conf 100% · 1.5s · $0.000 · 296 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 6) .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:
810correctcode.trace.python-v1conf 100% · 390ms · $0.000 · 170 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 12
while total + v <= 30:
if v % 7 != 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:
30correctcode.trace.nested-v1conf 100% · 420ms · $0.000 · 1387 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
294correctcode.trace.nested-v1conf 100% · 473ms · $0.000 · 467 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
204correctcode.trace.python-v1conf 100% · 719ms · $0.000 · 382 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 10
while total + v <= 118:
if v % 7 != 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:
82correctcode.trace.js-v1conf 100% · 404ms · $0.000 · 167 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 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:
220correctcode.trace.python-v1conf 100% · 419ms · $0.000 · 294 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 6
while total + v <= 59:
if v % 3 != 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:
0wrongcode.trace.nested-v1conf 100% · 457ms · $0.000 · 616 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 6):
if j == 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:
296correctcode.trace.python-v1anchorconf 100% · 1.3s · $0.000 · 474 tok
model answer:
0correctcode.trace.js-v1conf 100% · 398ms · $0.000 · 192 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 2) .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:
100wrongcode.trace.nested-v1anchorconf 100% · 2.8s · $0.000 · 727 tok
model answer:
284correctcode.trace.js-v1anchorconf 100% · 421ms · $0.000 · 132 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 2.8s · $0.000 · 194 tok
model answer:
40instruction following 24/30 correct
correctif.constraints.stack-v1conf 87% · 394ms · $0.001 · 5160 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "lumen" and the last word must be "falcon". 3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen nova wakes silver sea, nova foam carries gulls above reefs while distant storm clouds guide the tired moonlit white seabird, loyal homebound falconcorrectif.constraints.stack-v1conf 100% · 393ms · $0.001 · 5467 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "prism" and the last word must be "zephyr". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism old iron gear machine, basalt worn, basalt patient, basalt tired, yet its brass cogs still sang through dust and silence with a zephyrcorrectif.format.acronym-v1conf 100% · 1.4s · $0.000 · 115 tok
question
Take the third letter of each of these words, in order: echo, comet, quartz, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
HMAMcorrectif.format.repeat-v1conf 100% · 408ms · $0.000 · 134 tok
question
Write the word "drift" in uppercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFTcorrectif.format.acronym-v1conf 100% · 433ms · $0.000 · 124 tok
question
Take the first letter of each of these words, in order: comet, cedar, ember, 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:
CCEFwrongif.constraints.stack-v1conf 100% · 402ms · $0.000 · 1760 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "lumen" and the last word must be "tundra". 3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen ember ember ember pale dawn warms quiet frost while soft geese cross the cold under silent pines near tundracorrectif.format.repeat-v1conf 100% · 525ms · $0.000 · 173 tok
question
Write the word "zephyr" in capitalized 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:
Zephyr/Zephyr/Zephyr/Zephyrcorrectif.constraints.stack-v1conf 95% · 458ms · $0.001 · 6227 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "falcon" and the last word must be "prism". 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 and comet ride waves, while comet gulls trace foam over reefs beneath mirrored glass, dawn tide pools become prismcorrectif.format.acronym-v1conf 100% · 432ms · $0.000 · 95 tok
question
Take the first letter of each of these words, in order: falcon, drift, echo, delta, 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:
FDEDEcorrectif.format.repeat-v1conf 100% · 389ms · $0.000 · 230 tok
question
Write the word "nova" in lowercase 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:
nova/nova/nova/novacorrectif.constraints.stack-v1conf 100% · 418ms · $0.000 · 757 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "flint" and the last word must be "delta". 3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint old machine kept warm with ember ember ember while its gears turned slowly through cold village nights toward deltacorrectif.format.acronym-v1conf 100% · 1.5s · $0.000 · 139 tok
question
Take the third letter of each of these words, in order: quartz, flint, comet, echo, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AIMHBwrongif.constraints.stack-v1conf 100% · 696ms · $0.000 · 2053 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "lumen" and the last word must be "drift". 3. Use the word "quartz" 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:
lumen quartz towers mirror rain, neon markets hum; glass avenues glow, warm lamps flicker, distant music and taxi lights driftcorrectif.format.repeat-v1conf 100% · 406ms · $0.000 · 202 tok
question
Write the word "comet" in uppercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
COMET_COMET_COMETcorrectif.format.acronym-v1conf 100% · 1.1s · $0.000 · 132 tok
question
Take the third letter of each of these words, in order: delta, zephyr, comet, flint, echo, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LPMIHMcorrectif.format.repeat-v1conf 100% · 1.8s · $0.000 · 202 tok
question
Write the word "orbit" 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:
orbit-orbit-orbit-orbit-orbit-orbit-orbitwrongif.constraints.stack-v1anchorconf 100% · 1.1s · $0.001 · 7911 tok
model answer:
drift rain over midnight towers, lumen glows, lumen hums, lumen pools; taxis thread empty avenues while moonlit signs keep distant quiet city in orbitwrongif.format.acronym-v1conf 100% · 449ms · $0.000 · 100 tok
question
Take the second letter of each of these words, in order: prism, quartz, delta, ember, 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:
RULECcorrectif.format.repeat-v1conf 100% · 2.3s · $0.000 · 181 tok
question
Write the word "prism" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism-prism-prism-prism-prism-prism-prism-prismcorrectif.constraints.stack-v1conf 100% · 409ms · $0.000 · 1029 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "delta" and the last word must be "flint". 3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
delta zephyr lit zephyr city at night, towers, streets, and bridges hum toward flintwrongif.constraints.stack-v1conf 95% · 397ms · $0.000 · 1354 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "ember" and the last word must be "nova". 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 frost cradles comet quiet fields as comet dawn guides comet softly toward silver morning light novacorrectif.format.acronym-v1conf 100% · 416ms · $0.000 · 98 tok
question
Take the first letter of each of these words, in order: cedar, flint, tundra, 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:
CFTNcorrectif.format.repeat-v1conf 100% · 532ms · $0.000 · 188 tok
question
Write the word "drift" in lowercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift/drift/drift/drift/drift/drift/drift/driftwrongif.format.acronym-v1conf 100% · 1.1s · $0.000 · 88 tok
question
Take the first letter of each of these words, in order: falcon, flint, cedar, 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:
FCCPcorrectif.format.repeat-v1conf 100% · 565ms · $0.000 · 483 tok
question
Write the word "prism" in capitalized form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Prism-Prism-Prism-Prism-Prismcorrectif.constraints.stack-v1conf 99% · 394ms · $0.000 · 1660 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "comet" and the last word must be "nova". 3. Use the word "echo" 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:
comet crossed silent void, seeking home while star echo and moon echo guided every weary mile to novacorrectif.format.acronym-v1conf 100% · 1.2s · $0.000 · 95 tok
question
Take the first letter of each of these words, in order: comet, echo, cedar, 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:
CECNcorrectif.format.repeat-v1anchorconf 100% · 388ms · $0.000 · 295 tok
model answer:
Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echocorrectif.format.acronym-v1anchorconf 100% · 1.7s · $0.000 · 93 tok
model answer:
ZDFQcorrectif.format.repeat-v1anchorconf 100% · 1.1s · $0.000 · 203 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 96 tok
question
What is the author of "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 91 tok
question
Identify the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 493ms · $0.000 · 163 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:
Tincorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 209 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:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 2.0s · $0.000 · 153 tok
question
Name the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 422ms · $0.000 · 150 tok
question
Identify the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
potassiumcorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 83 tok
question
Identify the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 408ms · $0.000 · 76 tok
question
Name the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 393ms · $0.000 · 126 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 158 tok
question
Name the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 390ms · $0.000 · 125 tok
question
Identify the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 423ms · $0.000 · 73 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 Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 407ms · $0.000 · 124 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 426ms · $0.000 · 168 tok
question
Identify the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 408ms · $0.000 · 108 tok
question
Identify the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 410ms · $0.000 · 124 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 Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 415ms · $0.000 · 133 tok
question
Name the author of "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 729ms · $0.000 · 160 tok
question
Name the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tincorrectknowledge.fr.factbank-v2conf 100% · 520ms · $0.000 · 133 tok
question
Name the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 508ms · $0.000 · 90 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:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 393ms · $0.000 · 85 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 Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 405ms · $0.000 · 151 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:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 99 tok
question
Name the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 394ms · $0.000 · 113 tok
question
Name the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 429ms · $0.000 · 103 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:
Berncorrectknowledge.fr.factbank-v2anchorconf 100% · 702ms · $0.000 · 145 tok
model answer:
mercurycorrectknowledge.fr.factbank-v2conf 100% · 420ms · $0.000 · 97 tok
question
Identify the element whose symbol is W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 420ms · $0.000 · 140 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 2.1s · $0.000 · 114 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 2.2s · $0.000 · 132 tok
model answer:
antimonymath 29/30 correct
correctmath.chained.pipeline-v1conf 100% · 418ms · $0.000 · 155 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 58 × 76. Step 2: Q = P × 8 − 515. 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:
6953correctmath.percent.chain-v2conf 100% · 1.2s · $0.000 · 515 tok
question
An inventory starts at 64000 units. The delivery van has a 28-liter fuel tank. In the first month the inventory grows by 42%. Each pallet weighs about 17 grams more when wet. The next month it shrinks by 44%, and the month after it grows by 11%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
56491.008correctmath.counterfactual.base-v1conf 100% · 406ms · $0.000 · 427 tok
question
Work strictly in base 11. Add the base-11 numbers 1941 and 1479. 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:
330Acorrectmath.algebra.system-v2conf 100% · 686ms · $0.000 · 176 tok
question
Solve the system, then answer the derived question. 5x + 5y = -5 9x − 7y = -473 What is the value of 3x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-235correctmath.arith.chain-v2conf 100% · 387ms · $0.000 · 197 tok
question
Evaluate the expression below and give the result. (((82 × 30 − 891) × 5 + 3907) − 26 × 51) × 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:
20852correctmath.counterfactual.base-v1conf 100% · 406ms · $0.000 · 316 tok
question
Work strictly in base 8. Add the base-8 numbers 2240 and 1151. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3411correctmath.chained.pipeline-v1conf 100% · 420ms · $0.000 · 158 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 84 × 88. Step 2: Q = P × 9 − 554. Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
9430correctmath.percent.chain-v2conf 100% · 1.1s · $0.000 · 272 tok
question
An inventory starts at 80000 units. The delivery van has a 49-liter fuel tank. In the first month the inventory grows by 37%. A rival firm shipped 136 unrelated parcels the same week. The next month it shrinks by 43%, 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:
73092.24correctmath.algebra.system-v2conf 100% · 1.0s · $0.000 · 250 tok
question
Solve the system, then answer the derived question. 2x + 5y = 166 9x − 6y = 234 What is the value of 6x − 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:
138correctmath.arith.chain-v2conf 100% · 405ms · $0.000 · 197 tok
question
Evaluate the expression below and give the result. (((32 × 64 − 204) × 7 + 8444) − 43 × 24) × 6 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
121920wrongmath.counterfactual.base-v1conf 100% · 1.2s · $0.000 · 365 tok
question
Work strictly in base 8. Multiply the base-8 numbers 37 and 45. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2027correctmath.chained.pipeline-v1conf 100% · 396ms · $0.000 · 172 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 29 × 45. Step 2: Q = P × 3 − 682. 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:
361correctmath.percent.chain-v2conf 100% · 399ms · $0.000 · 318 tok
question
An inventory starts at 99000 units. A rival firm shipped 95 unrelated parcels the same week. In the first month the inventory grows by 38%. The company was founded 107 kilometers from the port. The next month it shrinks by 35%, and the month after it grows by 5%. 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:
93243.15correctmath.algebra.system-v2conf 100% · 383ms · $0.000 · 261 tok
question
Solve the system, then answer the derived question. 4x + 6y = -262 6x − 8y = 202 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:
158correctmath.chained.pipeline-v1conf 100% · 1.6s · $0.000 · 148 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 39 × 73. Step 2: Q = P × 4 − 347. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1841correctmath.arith.chain-v2conf 100% · 408ms · $0.000 · 175 tok
question
Compute the value of the following expression. (((45 × 33 − 451) × 5 + 3965) − 70 × 49) × 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:
11410correctmath.percent.chain-v2conf 100% · 409ms · $0.000 · 702 tok
question
An inventory starts at 52000 units. The delivery van has a 131-liter fuel tank. In the first month the inventory grows by 23%. A rival firm shipped 179 unrelated parcels the same week. The next month it shrinks by 16%, and the month after it grows by 33%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
71456.11correctmath.counterfactual.base-v1conf 100% · 392ms · $0.000 · 402 tok
question
Work strictly in base 13. Multiply the base-13 numbers 6C and C. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
651correctmath.algebra.system-v2conf 100% · 539ms · $0.000 · 163 tok
question
Solve the system, then answer the derived question. 3x + 3y = -69 2x − 3y = 84 What is the value of 5x − 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:
67correctmath.arith.chain-v2conf 100% · 416ms · $0.000 · 181 tok
question
Compute the value of the following expression. (((90 × 66 − 107) × 4 + 4408) − 41 × 62) × 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:
176386correctmath.chained.pipeline-v1conf 100% · 409ms · $0.000 · 169 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 84 × 33. Step 2: Q = P × 8 − 260. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
7306correctmath.counterfactual.base-v1conf 100% · 392ms · $0.000 · 407 tok
question
Work strictly in base 11. Add the base-11 numbers 198A and 202A. 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:
3A09correctmath.percent.chain-v2conf 100% · 1.0s · $0.000 · 286 tok
question
An inventory starts at 5000 units. A rival firm shipped 146 unrelated parcels the same week. In the first month the inventory grows by 7%. The delivery van has a 106-liter fuel tank. The next month it shrinks by 34%, and the month after it grows by 34%. 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:
4731.54correctmath.algebra.system-v2conf 100% · 423ms · $0.000 · 240 tok
question
Solve the system, then answer the derived question. 7x + 8y = 293 9x − 7y = 31 What is the value of 3x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-63correctmath.arith.chain-v2conf 100% · 411ms · $0.000 · 430 tok
question
Calculate the following. Show your reasoning, then answer. (((29 × 94 − 738) × 6 + 1859) − 85 × 35) × 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:
54060correctmath.counterfactual.base-v1anchorconf 100% · 401ms · $0.000 · 1064 tok
model answer:
11236correctmath.chained.pipeline-v1conf 100% · 806ms · $0.000 · 132 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 31 × 18. Step 2: Q = P × 8 − 927. 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:
393correctmath.percent.chain-v2anchorconf 100% · 412ms · $0.000 · 622 tok
model answer:
61896.522correctmath.arith.chain-v2anchorconf 100% · 1.1s · $0.000 · 221 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 1.2s · $0.000 · 162 tok
model answer:
87multilingual 30/30 correct
correctmultilingual.numword-v2conf 100% · 471ms · $0.000 · 503 tok
question
Compute 272 + 201, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent soixante-treizecorrectmultilingual.wordnum-v1conf 100% · 971ms · $0.000 · 253 tok
question
A number is written in French: « deux cent cinquante-trois ». Another is written in Spanish: « doscientos ochenta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
537correctmultilingual.numword-v2conf 100% · 440ms · $0.000 · 328 tok
question
Compute 227 + 220, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos cuarenta y sietecorrectmultilingual.wordnum-v1conf 100% · 1.2s · $0.000 · 176 tok
question
A number is written in French: « cinq cent cinquante-sept ». Another is written in Spanish: « doscientos cuarenta 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:
805correctmultilingual.numword-v2conf 100% · 403ms · $0.000 · 248 tok
question
Compute 168 + 364, 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 treinta y doscorrectmultilingual.wordnum-v1conf 100% · 662ms · $0.000 · 137 tok
question
A number is written in French: « deux cent soixante et onze ». Another is written in Spanish: « seiscientos dieciséis ». 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:
887correctmultilingual.wordnum-v1conf 100% · 457ms · $0.000 · 208 tok
question
A number is written in French: « soixante-deux ». Another is written in Spanish: « doscientos sesenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-200correctmultilingual.numword-v2conf 100% · 423ms · $0.000 · 263 tok
question
Compute 441 + 164, 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 cincocorrectmultilingual.wordnum-v1conf 100% · 395ms · $0.000 · 132 tok
question
A number is written in French: « sept cent dix-neuf ». Another is written in Spanish: « seiscientos setenta y dos ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1391correctmultilingual.numword-v2conf 100% · 1.3s · $0.000 · 237 tok
question
Compute 247 + 163, 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 dixcorrectmultilingual.wordnum-v1conf 100% · 399ms · $0.000 · 277 tok
question
A number is written in French: « deux cent quinze ». 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:
793correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 211 tok
question
Compute 288 + 321, 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 neufcorrectmultilingual.wordnum-v1conf 100% · 1.5s · $0.000 · 300 tok
question
A number is written in French: « quatre cent soixante-quatorze ». Another is written in Spanish: « ochocientos trece ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-339correctmultilingual.numword-v2conf 100% · 397ms · $0.000 · 188 tok
question
Compute 489 + 151, 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 quarantecorrectmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 212 tok
question
A number is written in French: « deux cent soixante-douze ». Another is written in Spanish: « ochocientos catorce ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1086correctmultilingual.numword-v2conf 100% · 1.9s · $0.000 · 202 tok
question
Compute 120 + 237, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent cinquante-septcorrectmultilingual.wordnum-v1conf 100% · 399ms · $0.000 · 185 tok
question
A number is written in French: « cent vingt ». Another is written in Spanish: « quinientos 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:
625correctmultilingual.numword-v2conf 100% · 402ms · $0.000 · 191 tok
question
Compute 64 + 63, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ciento veintisietecorrectmultilingual.wordnum-v1conf 100% · 396ms · $0.000 · 215 tok
question
A number is written in French: « trois cent soixante-dix-neuf ». Another is written in Spanish: « cuatrocientos sesenta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-88correctmultilingual.numword-v2conf 100% · 1.3s · $0.000 · 187 tok
question
Compute 338 + 275, 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 trececorrectmultilingual.wordnum-v1conf 100% · 385ms · $0.000 · 263 tok
question
A number is written in French: « quatre cent soixante et un ». Another is written in Spanish: « cuatrocientos cincuenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
916correctmultilingual.numword-v2conf 100% · 703ms · $0.000 · 120 tok
question
Compute 306 + 178, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos ochenta y cuatrocorrectmultilingual.numword-v2conf 100% · 399ms · $0.000 · 212 tok
question
Compute 382 + 312, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos noventa y cuatrocorrectmultilingual.wordnum-v1conf 100% · 410ms · $0.000 · 212 tok
question
A number is written in French: « six cent cinquante-six ». Another is written in Spanish: « cuatrocientos 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:
1131correctmultilingual.wordnum-v1conf 100% · 394ms · $0.000 · 256 tok
question
A number is written in French: « sept cent trente-quatre ». Another is written in Spanish: « setecientos treinta y tres ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1467correctmultilingual.numword-v2conf 100% · 419ms · $0.000 · 192 tok
question
Compute 65 + 367, 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 trente-deuxcorrectmultilingual.numword-v2anchorconf 100% · 409ms · $0.000 · 205 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 689ms · $0.000 · 130 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 418ms · $0.000 · 208 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 1.2s · $0.000 · 160 tok
model answer:
762reasoning 28/30 correct
correctreasoning.deduction.order-v2conf 100% · 425ms · $0.000 · 299 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Hana is heavier than Liam. Farah is heavier than Goran. Farah is heavier than Liam. Goran is heavier than Tessa. Sami is heavier than Quinn. Sami is heavier than Farah. Farah is heavier than Quinn. Quinn is heavier than Goran. Rosa is older than everyone here, but Rosa is not being ranked. Tessa is heavier than Hana. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.position-v1conf 100% · 421ms · $0.000 · 194 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Alice. Dara is directly ahead of Goran. Alice is directly ahead of Dara. Goran is number 4 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:
Gorancorrectreasoning.deduction.order-v2conf 100% · 701ms · $0.000 · 343 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Dara. Rosa is older than Goran. Ines is older than Goran. Emil is older than Ines. Ines is older than Rosa. Dara is older than Priya. Emil is older than Rosa. Emil is older than Rosa. Priya is older than Emil. Ola is faster than everyone here, but Ola 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:
Rosacorrectreasoning.deduction.position-v1conf 100% · 1.4s · $0.000 · 138 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Ines. Farah is number 2 in the queue. Rosa is directly ahead of Farah. 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:
Farahcorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 353 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Tessa. Liam is faster than Ola. Liam is faster than Ola. Ola is faster than Jonas. Jonas is faster than Nadir. Liam is faster than Bruno. Farah is faster than Bruno. Tessa is faster than Ola. Dara is taller than everyone here, but Dara is not being ranked. Farah is faster than Liam. 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:
Tessacorrectreasoning.deduction.position-v1conf 100% · 850ms · $0.000 · 166 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Liam. Ola is directly ahead of Quinn. Quinn is number 4 in the queue. Liam is directly ahead of Ola. 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 400ms · $0.000 · 464 tok
question
Four people stand in a queue (number 1 is the front). Kira is number 2 in the queue. Rosa is directly ahead of Kira. Ines is directly ahead of Quinn. 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 268 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Sami is taller than everyone here, but Sami is not being ranked. Farah is older than Tessa. Ola is older than Liam. Liam is older than Ines. Ines is older than Chen. Jonas is older than Liam. Tessa is older than Jonas. Tessa is older than Ines. Farah is older than Jonas. Jonas is older than Ola. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Inescorrectreasoning.deduction.order-v2conf 100% · 445ms · $0.000 · 396 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Nadir is taller than Dara. Sami is taller than Chen. Alice is heavier than everyone here, but Alice is not being ranked. Emil is taller than Bruno. Nadir is taller than Chen. Chen is taller than Ola. Bruno is taller than Sami. Dara is taller than Sami. Bruno is taller than Dara. Bruno is taller than Nadir. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.position-v1conf 100% · 426ms · $0.000 · 246 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Liam. Alice is directly ahead of Quinn. Priya is number 4 in the queue. Liam is directly ahead of Priya. 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 461ms · $0.000 · 161 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Kira. Liam is number 1 in the queue. Kira is directly ahead of Quinn. 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:
Kirawrongreasoning.deduction.position-v1conf 100% · 2.8s · $0.000 · 1227 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Sami. Tessa is directly ahead of Jonas. Sami 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:
No name givenwrongreasoning.deduction.order-v2conf 100% · 420ms · $0.000 · 278 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Kira. Dara is heavier than Emil. Dara is heavier than Ines. Sami is heavier than Emil. Kira is heavier than Farah. Farah is heavier than Priya. Ines is heavier than Sami. Ines is heavier than Kira. Mona is faster than everyone here, but Mona is not being ranked. Kira is heavier than Priya. 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:
Samicorrectreasoning.deduction.position-v1conf 100% · 424ms · $0.000 · 346 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Tessa. Kira is number 3 in the queue. Tessa is directly ahead of Kira. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.order-v2conf 100% · 1.2s · $0.000 · 347 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Kira. Chen is older than Hana. Goran is older than Farah. Farah is older than Kira. Hana is older than Quinn. Priya is older than Farah. Sami is heavier than everyone here, but Sami is not being ranked. Goran is older than Priya. Goran is older than Farah. Quinn is older than Goran. 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:
Hanacorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 361 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Liam is heavier than everyone here, but Liam is not being ranked. Rosa is taller than Ola. Ola is taller than Kira. Farah is taller than Mona. Jonas is taller than Farah. Mona is taller than Ola. Nadir is taller than Kira. Ola is taller than Kira. Rosa is taller than Jonas. Ola is taller than Nadir. 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:
Jonascorrectreasoning.deduction.position-v1conf 100% · 1.1s · $0.000 · 192 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Nadir. Dara is directly ahead of Jonas. Nadir 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:
Tessacorrectreasoning.deduction.order-v2conf 100% · 402ms · $0.000 · 370 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ola is taller than Emil. Jonas is taller than Emil. Liam is taller than Mona. Chen is taller than Liam. Ola is taller than Mona. Emil is taller than Chen. Farah is taller than Liam. Jonas is taller than Ola. Farah is taller than Jonas. Sami is heavier than everyone here, but Sami 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:
Jonascorrectreasoning.deduction.order-v2conf 100% · 400ms · $0.000 · 272 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Mona. Mona is taller than Ola. Tessa is taller than Sami. Dara is taller than Mona. Sami is taller than Ines. Ola is taller than Tessa. Mona is taller than Sami. Dara is taller than Sami. Quinn is heavier than everyone here, but Quinn is not being ranked. Priya is taller than Dara. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 433ms · $0.000 · 138 tok
question
Four people stand in a queue (number 1 is the front). Alice is number 2 in the queue. Farah is directly ahead of Alice. Goran is directly ahead of Liam. 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:
Alicecorrectreasoning.deduction.order-v2conf 100% · 381ms · $0.000 · 430 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Ines. Hana is taller than everyone here, but Hana is not being ranked. Kira is faster than Tessa. Bruno is faster than Kira. Ola is faster than Bruno. Kira is faster than Priya. Tessa is faster than Sami. Tessa is faster than Ines. Ines is faster than Priya. Sami 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:
Samicorrectreasoning.deduction.position-v1conf 100% · 406ms · $0.000 · 166 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Nadir. Nadir is number 4 in the queue. Emil is directly ahead of Liam. Liam is directly ahead of Sami. 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:
Liamcorrectreasoning.deduction.position-v1conf 100% · 403ms · $0.000 · 223 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Alice. Priya is number 1 in the queue. Farah 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:
Emilcorrectreasoning.deduction.order-v2conf 100% · 1.2s · $0.000 · 234 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Ola. Jonas is older than Ines. Ines is older than Quinn. Rosa is older than Jonas. Dara is older than Goran. Goran is older than Ola. Dara is older than Rosa. Sami is faster than everyone here, but Sami is not being ranked. Goran is older than Rosa. Quinn is older than Ola. 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 390ms · $0.000 · 336 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Ines. Mona is taller than Ines. Ines is taller than Jonas. Hana is older than everyone here, but Hana is not being ranked. Dara is taller than Alice. Ines is taller than Tessa. Rosa is taller than Mona. Alice is taller than Rosa. Mona is taller than Tessa. Tessa is taller than Jonas. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.position-v1conf 100% · 394ms · $0.000 · 180 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 1 in the queue. Ola is directly ahead of Dara. Dara is directly ahead of Ines. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Daracorrectreasoning.deduction.position-v1anchorconf 100% · 403ms · $0.000 · 156 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 415ms · $0.000 · 379 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 1.3s · $0.000 · 371 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 1.1s · $0.000 · 139 tok
model answer:
Farahterminal 25/30 correct
correctterminal.exit.chain-v1conf 100% · 415ms · $0.000 · 391 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
H
exit:1correctterminal.fs.tree-v1conf 100% · 401ms · $0.000 · 560 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/notes.cfg /proj/assets/setup.md /proj/report.log /proj/src/util.cfg /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 mv todo.md todo-7.txt mkdir -p assets/src-3 mv assets/setup.md assets/util-6.md touch todo-7.md touch src/main-7.cfg rm assets/util-6.md cd assets/src-3 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/notes.cfg
/proj/report.log
/proj/src/main-7.cfg
/proj/src/util.cfg
/proj/todo-7.md
/proj/todo-7.txtwrongterminal.pipeline.predict-v1conf 100% · 504ms · $0.000 · 262 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,eng,77,92 jon,hr,88,78 hal,ops,117,71 ana,hr,31,71 bo,legal,15,79 fay,legal,87,41 ned,ops,107,72 oli,eng,96,69 ivy,hr,111,64 eli,hr,117,27 max,legal,11,27 pam,sales,60,91 gus,hr,90,18 dev,eng,81,84 ``` 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:
hal,ops,117,71
ned,ops,107,72correctterminal.fs.tree-v1conf 100% · 1.4s · $0.000 · 1090 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/conf`): ``` /proj/assets/report.cfg /proj/docs/notes.txt /proj/docs/setup.log /proj/draft.cfg /proj/index.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf/assets-2 cd docs touch ../../proj/conf/assets-2/notes-5.cfg cd . mv ../../proj/conf/assets-2/notes-5.cfg ../../proj/conf/ cd ../../proj/conf touch ../../proj/util-8.txt cd ../../proj mv docs/setup.log docs/main-5.txt cd . touch docs/report-7.md mkdir -p assets/logs-2 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/report.cfg
/proj/conf/notes-5.cfg
/proj/docs/main-5.txt
/proj/docs/notes.txt
/proj/docs/report-7.md
/proj/draft.cfg
/proj/index.md
/proj/util-8.txtcorrectterminal.exit.chain-v1conf 100% · 399ms · $0.000 · 699 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f app.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 568ms · $0.000 · 227 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` eli,hr,31,15 max,ops,43,64 bo,hr,97,16 dev,eng,49,56 pam,sales,18,50 hal,ops,8,36 cy,sales,88,30 ivy,ops,83,75 kim,sales,120,92 oli,legal,49,11 ana,hr,109,95 jon,legal,26,48 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
hal,8
ivy,83correctterminal.fs.tree-v1conf 100% · 400ms · $0.000 · 886 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/docs`, `/proj/conf`): ``` /proj/conf/draft.md /proj/conf/setup.md /proj/docs/todo.txt /proj/index.md /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf/conf-8 cp index.md conf/conf-8/ touch logs/util-2.md cp docs/todo.txt conf/conf-8/ mv docs/todo.txt docs/report-7.txt cd conf cp draft.md ../../proj/docs/ cd ../../proj/logs touch ../../proj/docs/report-7.cfg cd ../../proj/conf/conf-8 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/conf-8/index.md
/proj/conf/conf-8/todo.txt
/proj/conf/draft.md
/proj/conf/setup.md
/proj/docs/draft.md
/proj/docs/report-7.cfg
/proj/docs/report-7.txt
/proj/index.md
/proj/logs/util-2.md
/proj/util.logcorrectterminal.exit.chain-v1conf 100% · 411ms · $0.000 · 357 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q basil notes.txt && echo C || echo D test -f app.txt && echo E || echo F test -f app.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 396ms · $0.000 · 161 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
jon,legal,67,98
gus,hr,57,24
ana,sales,33,79
ivy,eng,27,34
eli,ops,53,96
hal,ops,102,67
pam,legal,116,55
dev,eng,72,67
oli,eng,34,81
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
183correctterminal.exit.chain-v1conf 100% · 486ms · $0.000 · 467 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B false && echo C || echo D false && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
H
exit:1correctterminal.fs.tree-v1conf 100% · 659ms · $0.000 · 1047 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/build`): ``` /proj/conf/index.log /proj/conf/report.cfg /proj/docs/main.cfg /proj/draft.md /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 conf/index.log conf/setup-1.txt cp conf/setup-1.txt build/ mkdir -p conf/conf-1 cd build mv ../../proj/setup.txt ../../proj/main-7.log cd . touch report-1.cfg rm ../../proj/docs/main.cfg rm ../../proj/main-7.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/report-1.cfg
/proj/build/setup-1.txt
/proj/conf/report.cfg
/proj/conf/setup-1.txt
/proj/draft.mdwrongterminal.pipeline.predict-v1conf 100% · 421ms · $0.000 · 1717 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` jon,ops,72,73 hal,hr,66,81 pam,sales,79,58 ned,sales,48,55 ana,eng,61,65 gus,ops,18,82 max,ops,31,49 lou,legal,77,24 ivy,hr,93,77 eli,eng,55,99 fay,hr,83,19 cy,hr,104,67 oli,legal,81,38 kim,eng,69,50 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' 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:
cy:104
fay:83
hal:66wrongterminal.fs.tree-v1conf 100% · 388ms · $0.000 · 1021 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/src`, `/proj/assets`): ``` /proj/assets/index.txt /proj/assets/setup.txt /proj/report.txt /proj/src/notes.log /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p src-3 mkdir -p assets/conf-1 mv assets/setup.txt build/ cd src-3 mkdir -p ../../proj/assets/logs-2 mv ../../proj/src/notes.log ../../proj/assets/logs-2/ cd ../../proj/src cp ../../proj/assets/index.txt ../../proj/assets/conf-1/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/conf-1/index.txt
/proj/assets/index.txt
/proj/assets/logs-2/notes.log
/proj/assets/setup.txt
/proj/build/setup.txt
/proj/report.txt
/proj/util.txtcorrectterminal.exit.chain-v1conf 100% · 1.1s · $0.000 · 300 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q dune notes.txt && echo C || echo D true && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
H
exit:1correctterminal.fs.tree-v1conf 100% · 393ms · $0.000 · 1164 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/docs`, `/proj/src`): ``` /proj/docs/main.log /proj/logs/setup.log /proj/logs/todo.md /proj/report.log /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv docs/main.log src/ touch setup-7.log mv logs/setup.log logs/ mkdir -p docs/assets-7 mv util.md logs/ cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/logs/setup.log
/proj/logs/todo.md
/proj/logs/util.md
/proj/report.log
/proj/setup-7.log
/proj/src/main.logcorrectterminal.pipeline.predict-v1conf 100% · 395ms · $0.000 · 231 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ned,sales,30,72 dev,eng,16,10 fay,ops,3,12 max,hr,60,82 ana,hr,10,90 pam,eng,49,41 cy,hr,46,76 lou,ops,83,59 bo,ops,98,84 ivy,ops,62,95 oli,legal,112,52 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,hr,10,90
cy,hr,46,76
max,hr,60,82correctterminal.exit.chain-v1conf 100% · 395ms · $0.000 · 435 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 false && echo A || echo B grep -q coral notes.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:1correctterminal.pipeline.predict-v1conf 100% · 407ms · $0.000 · 489 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` bo,ops,94,37 jon,sales,70,89 gus,sales,100,45 dev,sales,66,91 ana,hr,86,69 lou,eng,92,90 max,eng,17,40 oli,hr,8,22 cy,eng,42,95 ned,legal,119,88 fay,hr,118,63 kim,eng,95,97 eli,ops,109,36 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' 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:
dev,66
gus,100
jon,70correctterminal.fs.tree-v1conf 100% · 409ms · $0.000 · 637 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/conf`): ``` /proj/conf/draft.txt /proj/conf/index.txt /proj/docs/setup.txt /proj/report.txt /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p docs/logs-3 rm report.txt mkdir -p conf/logs-5 cd src cp ../../proj/docs/setup.txt ../../proj/docs/logs-3/ mv ../../proj/docs/setup.txt ../../proj/docs/util-1.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/draft.txt
/proj/conf/index.txt
/proj/docs/logs-3/setup.txt
/proj/docs/util-1.md
/proj/util.logcorrectterminal.exit.chain-v1conf 100% · 420ms · $0.000 · 379 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` 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 true && echo A || echo B grep -q dune notes.txt && echo C || echo D test -f tmp.txt && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
Z
exit:0wrongterminal.fs.tree-v1conf 100% · 428ms · $0.000 · 1401 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/conf`): ``` /proj/conf/main.txt /proj/conf/todo.log /proj/docs/draft.log /proj/report.cfg /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch conf/report-1.cfg mv conf/todo.log conf/todo-4.txt mv report.cfg logs/ cd conf mv main.txt report-1.cfg mv ../../proj/util.md ../../proj/logs/ mkdir -p ../../proj/docs/conf-1 rm ../../proj/docs/draft.log cd ../../proj mv conf/report-1.cfg ./ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/report-1.cfg
/proj/conf/todo-4.txt
/proj/logs/report.cfg
/proj/logs/util.mdcorrectterminal.pipeline.predict-v1conf 100% · 399ms · $0.000 · 385 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
bo,hr,5,86
pam,sales,62,14
gus,eng,61,48
lou,legal,12,10
eli,sales,61,96
dev,eng,43,83
ana,legal,111,57
fay,sales,27,39
hal,hr,69,64
ned,hr,86,43
cy,eng,46,37
jon,sales,81,10
```
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:
231correctterminal.exit.chain-v1conf 100% · 411ms · $0.000 · 276 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f app.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
exit:1correctterminal.pipeline.predict-v1conf 100% · 404ms · $0.000 · 717 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` eli,eng,57,43 kim,hr,72,76 jon,hr,39,60 fay,sales,67,65 bo,legal,3,64 lou,hr,116,90 ana,ops,49,73 cy,ops,69,99 dev,eng,43,73 hal,hr,114,53 max,ops,6,50 pam,eng,29,61 gus,sales,51,99 ned,eng,26,86 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,49
cy,69correctterminal.fs.tree-v1conf 100% · 417ms · $0.000 · 884 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/src`, `/proj/build`): ``` /proj/build/util.cfg /proj/docs/notes.md /proj/index.cfg /proj/main.md /proj/src/draft.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch build/util-8.log cd docs mkdir -p ../../proj/src/conf-5 mkdir -p ../../proj/logs-6 cp ../../proj/index.cfg ../../proj/src/ rm notes.md touch ../../proj/src/index-6.cfg rm ../../proj/main.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/util-8.log
/proj/build/util.cfg
/proj/index.cfg
/proj/src/draft.txt
/proj/src/index-6.cfg
/proj/src/index.cfgcorrectterminal.exit.chain-v1conf 100% · 419ms · $0.000 · 268 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B false && echo C || echo D grep -q amber notes.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
G
exit:1wrongterminal.pipeline.predict-v1anchorconf 100% · 403ms · $0.000 · 542 tok
model answer:
oli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.fs.tree-v1anchorconf 100% · 403ms · $0.000 · 1095 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.exit.chain-v1anchorconf 100% · 398ms · $0.000 · 361 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 1.2s · $0.000 · 247 tok
model answer:
1vision ocr 30/30 correct
correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 62 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EJJACEcorrectvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 19 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
46correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 184 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
183correctvision.ocr.code-hunt-v1conf 100% · 1.6s · $0.000 · 92 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
9FKNVMMRcorrectvision.ocr.table-read-v1conf 100% · 917ms · $0.000 · 221 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
43correctvision.ocr.table-read-v1conf 100% · 3.8s · $0.000 · 163 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
93correctvision.ocr.code-hunt-v1conf 100% · 1.8s · $0.000 · 54 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
HVCWP77Ecorrectvision.ocr.code-hunt-v1conf 99% · 1.2s · $0.000 · 85 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3YUTMRCcorrectvision.ocr.table-read-v1conf 100% · 870ms · $0.000 · 156 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
15correctvision.ocr.code-hunt-v1conf 100% · 1.6s · $0.000 · 75 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AWEYJ3Mcorrectvision.ocr.table-read-v1conf 100% · 1.4s · $0.000 · 127 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
161correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 98 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
KCFPRD7Rcorrectvision.ocr.table-read-v1conf 100% · 1.8s · $0.000 · 131 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
88correctvision.ocr.code-hunt-v1conf 100% · 1.6s · $0.000 · 83 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
9UJKYJEcorrectvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.000 · 64 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
M9MPDYTcorrectvision.ocr.table-read-v1conf 100% · 831ms · $0.000 · 19 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
96correctvision.ocr.code-hunt-v1conf 100% · 2.7s · $0.000 · 131 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
UAPNYHcorrectvision.ocr.table-read-v1conf 100% · 867ms · $0.000 · 143 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
72correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 157 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
129correctvision.ocr.code-hunt-v1conf 100% · 2.2s · $0.000 · 83 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3UFKPHcorrectvision.ocr.table-read-v1conf 100% · 969ms · $0.000 · 123 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
202correctvision.ocr.code-hunt-v1conf 100% · 2.3s · $0.000 · 78 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EJNRCXcorrectvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 187 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
96correctvision.ocr.table-read-v1conf 100% · 1.6s · $0.000 · 149 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
130correctvision.ocr.code-hunt-v1conf 98% · 1.5s · $0.000 · 87 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
XXDPVXcorrectvision.ocr.code-hunt-v1conf 100% · 1.5s · $0.000 · 97 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ATTFNEW7correctvision.ocr.table-read-v1anchorconf 100% · 1.1s · $0.000 · 171 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 1.6s · $0.000 · 106 tok
model answer:
VX7993Dcorrectvision.ocr.code-hunt-v1anchorconf 100% · 2.8s · $0.000 · 81 tok
model answer:
YH9E4AWPcorrectvision.ocr.table-read-v1anchorconf 100% · 2.4s · $0.000 · 19 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit745
- 2026-08-05v0.2.0index_fit745
- 2026-08-05v0.2.0index_fit745
- 2026-08-05v0.2.0index_fit746
- 2026-08-05v0.2.0index_fit747
- 2026-08-05v0.2.0index_fit750
- 2026-08-05v0.2.0index_fit751
- 2026-08-05v0.2.0index_fit753
- 2026-08-05v0.2.0index_fit754
- 2026-08-05v0.2.0index_fit755
- 2026-08-05v0.2.0index_fit756
- 2026-08-05v0.2.0index_fit753
- 2026-08-05v0.2.0index_fit753
- 2026-08-05v0.2.0index_fit752
- 2026-08-05v0.2.0index_fit753
- 2026-08-05v0.2.0index_fit754
- 2026-08-05v0.2.0index_fit755
- 2026-08-05v0.2.0index_fit754
- 2026-08-05v0.2.0index_fit753
- 2026-08-05v0.2.0index_fit751