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789

95% CI [740838] · index v0.2.0

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DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic826 [730922]
0.8130.800.970.038895ms$5.29
code875 [754996]
0.7921.001.000.000742ms$2.23
instruction following838 [708968]
0.7800.801.000.000837ms$1.74
knowledge720 [549892]
0.5420.971.000.000867ms$0.942
math800 [643956]
0.6830.950.970.000825ms$1.33
multilingual819 [654983]
0.6981.001.000.000860ms$1.20
reasoning796 [650942]
0.7121.000.970.038834ms$2.13
terminal640 [536745]
0.4671.000.600.000915ms$2.99

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agentic 29/30 correct
correctagentic.tools.context-load-v1conf 100% · 1.4s · $0.013 · 10280 tok
question
You are an order-operations agent working strictly through tool calls.

TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)

ORDER LEDGER (238 records, format: id|customer|region|item|qty|status):
```
1634|fulton|west|valve|31|paid
1889|fulton|north|gasket|75|paid
1723|gale|south|cable|50|shipped
1507|acme|east|pump|68|paid
1391|ember|east|sensor|46|held
1309|harbor|east|panel|36|held
1377|juno|south|panel|60|pending
1964|acme|north|frame|62|pending
1646|ionic|west|cable|84|shipped
2010|acme|east|rotor|30|held
1154|cobalt|south|sensor|48|pending
1896|cobalt|west|frame|60|pending
1361|cobalt|east|frame|94|paid
1508|cobalt|east|cable|67|pending
1780|birch|north|cable|35|paid
2008|ionic|south|cable|17|pending
1499|birch|south|pump|49|held
1600|birch|west|frame|16|held
1203|acme|east|cable|68|pending
1561|ionic|north|panel|19|paid
1863|ionic|west|rotor|93|shipped
1931|cobalt|west|sensor|13|shipped
1793|dorian|north|sensor|97|shipped
1366|dorian|south|panel|19|held
1486|acme|east|panel|46|shipped
2016|fulton|east|rotor|26|paid
1839|juno|east|rotor|36|pending
1412|acme|east|gasket|53|held
1304|acme|north|panel|38|paid
1737|ember|north|pump|88|paid
1398|gale|north|valve|88|paid
1299|ionic|north|rotor|43|paid
1291|dorian|south|gasket|24|held
1178|dorian|north|pump|68|shipped
1992|gale|north|valve|43|shipped
1722|acme|north|frame|26|shipped
1336|gale|east|sensor|43|held
2019|birch|south|gasket|58|paid
1819|harbor|west|cable|96|shipped
1213|gale|east|sensor|25|shipped
1622|fulton|west|rotor|53|held
1984|acme|south|cable|27|held
1459|ionic|east|cable|56|shipped
1189|ionic|east|sensor|83|shipped
1221|harbor|north|pump|50|paid
1511|juno|east|panel|33|paid
1759|acme|north|frame|45|pending
1967|dorian|south|sensor|99|paid
1892|ember|east|cable|29|shipped
1325|cobalt|south|panel|57|shipped
1274|dorian|north|cable|84|paid
1853|juno|north|frame|75|shipped
1232|fulton|east|cable|94|pending
1985|dorian|north|cable|16|held
1246|dorian|north|panel|67|pending
1338|juno|east|pump|52|pending
1427|juno|south|rotor|71|pending
1929|acme|west|pump|63|held
1481|gale|north|sensor|50|paid
1318|acme|east|frame|85|pending
1698|gale|east|gasket|43|shipped
1934|gale|south|panel|46|paid
1926|ionic|east|rotor|17|pending
1495|gale|east|valve|70|pending
1359|dorian|east|valve|65|paid
1750|acme|north|frame|55|shipped
2049|ember|east|rotor|47|held
1438|ember|west|valve|64|shipped
1396|fulton|east|pump|46|paid
1847|fulton|north|frame|42|shipped
1746|acme|east|gasket|53|paid
1357|juno|south|panel|60|paid
1841|cobalt|east|cable|32|paid
2059|ember|east|rotor|50|shipped
1604|harbor|east|panel|42|held
1260|fulton|east|pump|15|pending
1898|harbor|east|sensor|11|paid
1731|fulton|south|panel|35|pending
1532|acme|west|panel|92|pending
1774|cobalt|south|cable|35|shipped
1882|fulton|north|rotor|70|held
1906|gale|west|frame|20|paid
1319|ember|west|valve|60|held
1691|ember|east|rotor|48|held
1654|gale|north|frame|68|held
1883|gale|south|frame|14|shipped
1620|fulton|north|frame|27|held
1911|juno|north|valve|16|pending
1374|ionic|north|frame|58|held
1808|acme|north|gasket|34|held
1962|ionic|east|gasket|82|shipped
1214|ionic|north|panel|23|pending
1313|cobalt|south|sensor|88|pending
1520|ember|north|gasket|31|held
1368|acme|north|frame|46|held
1267|juno|south|pump|89|shipped
1970|ionic|west|panel|69|paid
1769|acme|north|gasket|26|held
1405|birch|north|rotor|14|pending
1955|birch|east|frame|41|shipped
1740|gale|south|valve|86|shipped
1803|ember|west|sensor|15|held
1686|juno|west|frame|58|pending
1663|acme|east|rotor|74|held
2000|fulton|east|rotor|99|paid
1618|harbor|east|frame|23|held
1938|harbor|west|pump|95|shipped
1324|cobalt|south|sensor|62|paid
1630|juno|east|gasket|89|held
1720|dorian|south|panel|48|shipped
1876|fulton|south|rotor|17|pending
1944|birch|west|rotor|77|shipped
1538|cobalt|east|frame|49|held
1372|harbor|south|valve|97|paid
1659|birch|west|sensor|49|pending
2002|birch|north|panel|64|shipped
2034|acme|west|rotor|48|held
1593|juno|north|valve|70|held
1916|cobalt|north|sensor|87|paid
1385|fulton|south|rotor|18|held
1469|acme|north|rotor|99|shipped
1327|gale|south|valve|94|paid
2050|fulton|east|valve|65|shipped
1798|gale|west|frame|55|pending
1587|gale|west|pump|70|paid
1420|fulton|north|rotor|22|paid
1554|fulton|south|rotor|94|held
1551|dorian|south|gasket|26|pending
1899|cobalt|north|frame|82|paid
1611|birch|south|cable|27|held
1578|acme|north|frame|59|shipped
1344|harbor|north|rotor|22|pending
2004|dorian|north|frame|21|pending
1572|gale|north|frame|66|shipped
1402|dorian|south|frame|12|paid
1707|ember|north|sensor|63|held
1248|ionic|west|sensor|47|held
1194|cobalt|south|frame|21|held
1920|juno|west|panel|13|pending
1666|acme|south|pump|38|shipped
1466|juno|north|frame|27|paid
1410|cobalt|south|sensor|30|held
1195|birch|east|gasket|83|shipped
1821|cobalt|west|panel|72|paid
2061|dorian|south|valve|59|pending
1712|gale|south|panel|68|shipped
1515|cobalt|south|cable|55|shipped
1875|fulton|south|sensor|61|pending
1816|cobalt|east|valve|25|held
1687|harbor|west|sensor|19|paid
1306|gale|west|sensor|47|shipped
1999|juno|north|frame|22|held
1565|cobalt|west|panel|92|paid
1670|ember|north|panel|76|held
1922|ember|east|rotor|87|paid
1526|birch|north|cable|37|shipped
2054|dorian|east|frame|53|paid
1998|gale|west|frame|13|paid
2047|ember|east|frame|40|pending
1244|harbor|north|cable|40|shipped
1155|cobalt|north|rotor|15|paid
1228|cobalt|north|frame|42|pending
2039|ionic|south|sensor|20|paid
1149|cobalt|north|pump|17|pending
1162|cobalt|north|valve|17|pending
1976|juno|west|rotor|20|held
1453|acme|south|cable|51|paid
1449|harbor|north|sensor|15|held
1334|harbor|west|rotor|62|paid
1791|cobalt|south|frame|55|pending
1414|fulton|north|pump|60|pending
2045|cobalt|west|gasket|14|paid
1198|fulton|north|valve|24|paid
2027|harbor|north|gasket|81|paid
1840|cobalt|east|rotor|11|pending
1658|fulton|north|rotor|91|paid
1703|dorian|south|pump|74|held
1835|ember|east|frame|58|held
1558|harbor|south|rotor|72|pending
1284|dorian|east|gasket|51|held
1351|gale|south|pump|26|paid
1235|cobalt|east|valve|34|paid
1173|cobalt|north|frame|96|pending
1718|fulton|east|frame|10|paid
1755|cobalt|west|panel|70|shipped
1432|ember|south|valve|88|held
1488|birch|west|rotor|49|paid
1181|harbor|north|rotor|90|paid
1838|cobalt|west|valve|63|pending
1172|cobalt|north|pump|10|shipped
1303|ionic|north|frame|75|pending
1278|acme|west|cable|59|pending
1781|acme|north|sensor|57|paid
1176|cobalt|north|sensor|77|paid
1426|ionic|north|valve|65|shipped
1678|ember|north|valve|48|shipped
1501|ionic|north|pump|27|shipped
1582|ionic|east|panel|15|held
1690|fulton|east|frame|33|pending
1544|gale|east|gasket|59|held
1399|ionic|north|panel|48|paid
1237|fulton|west|cable|51|paid
1641|gale|north|panel|96|paid
1456|birch|west|gasket|61|pending
1639|harbor|west|panel|97|pending
1166|cobalt|east|valve|94|pending
1948|juno|north|valve|23|shipped
1902|ember|west|panel|26|paid
1727|ember|south|sensor|60|paid
1828|dorian|west|sensor|56|held
1851|fulton|west|valve|54|held
1474|fulton|west|valve|19|held
1982|ember|south|valve|33|held
1547|juno|south|valve|30|held
2017|dorian|east|pump|12|shipped
1765|fulton|west|cable|49|shipped
1175|cobalt|east|pump|13|pending
1463|ember|east|panel|11|held
1684|ember|south|valve|59|pending
1184|fulton|north|sensor|80|pending
1870|cobalt|north|rotor|42|shipped
1859|fulton|east|cable|31|paid
2020|fulton|west|frame|35|paid
1381|birch|north|rotor|84|held
1940|ionic|north|cable|79|paid
1648|birch|north|rotor|83|shipped
1207|fulton|west|gasket|64|paid
1672|juno|south|frame|51|shipped
1733|harbor|west|valve|28|pending
1784|dorian|east|valve|13|shipped
1559|cobalt|east|cable|17|held
2055|fulton|east|cable|81|pending
1623|harbor|east|valve|69|pending
1294|fulton|west|gasket|87|held
1254|acme|north|frame|61|pending
1443|fulton|east|cable|46|pending
1813|ionic|north|valve|79|paid
1233|ionic|west|cable|52|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": 1149}}, {"tool": "cancel_order", "args": {"order_id": 1162}}, {"tool": "restock", "args": {"item": "frame", "qty": 96}}, {"tool": "cancel_order", "args": {"order_id": 1228}} ]
correctagentic.tools.ledger-v1conf 100% · 932ms · $0.003 · 2561 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: $818
- echo: $600
- oscar: $390

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $185 from "kilo" to "echo"
2. pay $374 from "oscar" to "echo"
3. pay $383 from "oscar" to "echo"
4. pay $575 from "oscar" to "echo"
5. pay $316 from "kilo" 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": "kilo", "to": "echo", "amount": 185}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 374}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 367}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 383}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 575}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 575}}, {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 316}} ]
correctagentic.tools.triage-v1conf 100% · 923ms · $0.002 · 1539 tok
question
You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- infra → silva
- payments → dubois
- data → tanaka

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 8)
2. "card declined at checkout" (category: payments, priority 3)
3. "export file corrupted" (category: data, priority 5)
4. "card declined at checkout" (category: payments, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 100% · 895ms · $0.002 · 1650 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: billing
- auth-svc: (none)
- search: auth-svc
- 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 "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": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
correctagentic.tools.context-load-v1conf 100% · 1.1s · $0.012 · 9288 tok
question
You are an order-operations agent working strictly through tool calls.

TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)

ORDER LEDGER (258 records, format: id|customer|region|item|qty|status):
```
1877|birch|east|pump|67|held
1475|fulton|north|cable|20|held
1408|ember|west|panel|17|pending
1589|gale|south|gasket|29|pending
1641|juno|east|rotor|65|shipped
1342|ionic|east|rotor|27|pending
1549|birch|west|rotor|29|held
1409|harbor|north|valve|47|held
1736|cobalt|south|frame|56|pending
2264|gale|west|cable|90|held
1859|cobalt|east|valve|80|held
1704|gale|west|sensor|49|held
2268|ember|south|sensor|88|paid
2004|harbor|west|pump|29|held
1456|juno|east|gasket|66|shipped
2285|gale|south|sensor|68|held
1529|ember|east|frame|61|paid
2332|gale|west|panel|85|shipped
1685|cobalt|south|frame|70|pending
2227|acme|west|sensor|95|shipped
1667|dorian|south|pump|64|paid
2105|cobalt|west|panel|84|pending
2277|dorian|east|panel|90|pending
1341|ionic|north|valve|34|pending
1673|juno|east|cable|78|shipped
2313|cobalt|south|sensor|74|paid
2194|birch|north|rotor|67|shipped
1485|cobalt|east|panel|16|shipped
2061|gale|west|rotor|13|shipped
1470|gale|north|panel|39|pending
1334|ionic|north|pump|31|shipped
1467|gale|west|rotor|25|held
2236|harbor|north|frame|42|held
1571|ionic|east|sensor|41|pending
2212|gale|north|valve|91|paid
2095|cobalt|west|pump|54|held
1512|gale|east|sensor|73|paid
1721|juno|west|gasket|83|paid
1886|harbor|north|sensor|74|held
1743|cobalt|north|cable|82|held
1526|birch|west|sensor|66|paid
1688|birch|north|valve|56|paid
1918|juno|west|cable|37|held
2088|juno|south|gasket|43|paid
2306|dorian|east|panel|25|shipped
1594|dorian|south|rotor|29|shipped
1555|juno|north|valve|53|pending
1955|cobalt|south|gasket|31|shipped
1975|dorian|west|frame|28|pending
1631|ember|east|rotor|59|held
1329|ionic|west|gasket|33|pending
2132|cobalt|west|sensor|45|held
2317|juno|south|rotor|46|paid
1981|fulton|west|valve|92|shipped
1773|acme|north|frame|41|shipped
1370|juno|south|gasket|99|pending
2195|ember|north|valve|78|shipped
1536|ember|south|sensor|84|held
2119|acme|south|valve|51|paid
2294|fulton|south|panel|81|held
2200|dorian|south|pump|91|pending
1319|ionic|north|rotor|16|shipped
1757|juno|south|gasket|84|paid
1871|fulton|east|valve|84|shipped
1737|ionic|east|sensor|20|pending
1779|fulton|east|sensor|40|paid
2340|gale|south|rotor|14|held
1692|acme|north|pump|85|held
1316|ionic|north|sensor|72|pending
2324|birch|east|valve|52|pending
2249|juno|west|pump|30|paid
1701|acme|west|sensor|95|shipped
2113|birch|north|gasket|69|shipped
1934|dorian|east|cable|83|held
1439|ionic|west|pump|91|paid
2335|gale|west|valve|58|shipped
2108|ember|north|rotor|75|held
1733|cobalt|north|rotor|84|held
1903|birch|west|sensor|74|pending
2145|gale|north|sensor|12|held
1639|ionic|south|frame|46|shipped
2274|harbor|east|sensor|35|held
1382|ionic|east|rotor|50|held
1758|birch|west|panel|54|paid
2207|fulton|east|gasket|44|shipped
1774|birch|east|sensor|18|held
1959|ember|east|rotor|71|paid
2039|birch|north|pump|45|held
1752|birch|south|panel|70|paid
1650|ember|south|pump|57|shipped
1902|dorian|west|panel|52|paid
1543|ember|west|pump|77|pending
1713|juno|east|sensor|71|paid
1611|dorian|north|cable|78|pending
1826|cobalt|west|cable|65|paid
2164|birch|south|cable|72|held
1947|juno|east|valve|30|pending
1348|ionic|west|frame|25|pending
1799|gale|west|cable|91|shipped
1680|dorian|east|gasket|15|paid
1476|birch|east|cable|24|held
2151|acme|west|gasket|87|paid
1909|cobalt|east|panel|12|shipped
2218|acme|east|pump|93|held
1601|dorian|south|pump|57|paid
1666|juno|north|cable|60|pending
1803|ember|north|rotor|19|paid
1496|juno|east|frame|29|pending
1347|ionic|north|pump|79|pending
1853|harbor|south|frame|61|paid
2301|harbor|west|sensor|84|paid
1422|ionic|south|rotor|98|pending
1824|acme|east|gasket|51|shipped
1356|gale|west|gasket|92|shipped
1632|ionic|east|valve|65|held
2090|ionic|east|valve|94|held
1362|juno|north|cable|32|pending
1562|gale|north|pump|45|paid
1951|ionic|north|sensor|31|shipped
2327|cobalt|east|gasket|48|paid
1716|juno|east|frame|93|paid
2342|cobalt|south|frame|97|pending
2328|dorian|east|panel|92|pending
1940|juno|south|sensor|54|pending
1399|cobalt|north|cable|87|paid
2082|cobalt|west|panel|86|held
2187|dorian|south|gasket|15|paid
1765|juno|east|pump|52|pending
1813|dorian|north|rotor|75|held
1477|ionic|east|gasket|38|held
1353|cobalt|west|sensor|98|held
1756|harbor|west|valve|78|shipped
1724|dorian|west|sensor|44|pending
1432|juno|west|valve|51|held
1547|juno|south|valve|21|shipped
1848|birch|north|pump|49|pending
1449|gale|south|pump|66|held
2056|ionic|east|valve|86|shipped
1928|acme|south|pump|10|paid
1644|ember|west|panel|80|shipped
2007|dorian|south|rotor|13|shipped
2101|dorian|east|cable|93|held
2220|harbor|south|pump|36|held
1606|dorian|south|cable|92|paid
1968|dorian|north|frame|81|pending
1406|acme|south|pump|11|pending
1884|harbor|south|panel|21|pending
2170|gale|north|panel|64|shipped
1738|birch|west|valve|67|pending
2073|ember|west|panel|54|held
1990|ionic|north|gasket|59|shipped
1604|gale|south|rotor|80|shipped
1841|dorian|south|frame|18|held
2242|dorian|north|gasket|29|held
2257|gale|north|rotor|95|held
1624|ionic|north|frame|80|shipped
2143|ionic|east|pump|62|paid
1416|harbor|east|sensor|99|paid
1582|harbor|north|valve|56|shipped
1956|fulton|west|valve|33|shipped
2021|birch|east|sensor|80|held
1325|ionic|north|gasket|20|pending
1567|ember|west|sensor|82|shipped
1833|ionic|east|gasket|10|held
2289|birch|north|valve|44|shipped
1554|juno|east|valve|89|paid
2197|cobalt|east|gasket|29|held
1766|juno|south|valve|55|held
1719|gale|east|rotor|50|shipped
2156|birch|west|sensor|71|held
2033|dorian|south|gasket|22|held
1352|ionic|north|rotor|51|paid
1749|juno|south|rotor|21|pending
1997|ionic|north|cable|94|held
1984|cobalt|south|gasket|16|pending
2028|birch|east|pump|88|paid
2011|dorian|north|sensor|18|held
1448|birch|north|cable|54|pending
1834|fulton|east|rotor|29|paid
1501|harbor|north|pump|66|paid
1989|ember|east|rotor|87|pending
1618|acme|south|frame|78|held
1987|birch|east|rotor|42|pending
1895|ionic|south|valve|17|paid
2075|juno|south|panel|43|pending
1794|juno|north|sensor|97|held
2049|juno|west|cable|87|pending
2129|cobalt|east|frame|70|pending
1889|harbor|north|frame|41|pending
1658|gale|east|frame|28|shipped
1519|gale|south|panel|12|pending
1913|birch|south|panel|28|pending
2219|ionic|north|sensor|87|paid
1620|dorian|north|panel|87|pending
1511|birch|north|rotor|31|pending
2125|ionic|north|gasket|76|held
1446|ionic|north|pump|10|held
1427|acme|north|rotor|82|pending
1831|dorian|west|gasket|34|shipped
1686|fulton|east|rotor|83|pending
1317|ionic|south|cable|81|pending
1656|birch|north|rotor|98|pending
1728|gale|south|panel|46|shipped
1935|ionic|west|panel|20|paid
1782|dorian|north|rotor|28|held
1694|fulton|east|pump|77|pending
1711|fulton|east|pump|81|paid
1882|dorian|north|frame|43|held
2109|cobalt|west|gasket|98|paid
1925|ember|south|pump|70|shipped
2224|ember|north|cable|46|paid
2149|acme|south|rotor|80|held
2181|ember|west|cable|51|pending
1982|acme|west|gasket|60|held
1809|harbor|west|sensor|59|shipped
1392|harbor|north|valve|58|held
1345|ionic|north|valve|71|held
2017|acme|north|gasket|31|paid
2233|fulton|north|panel|36|shipped
2279|ionic|east|pump|38|paid
2175|fulton|north|sensor|90|paid
1623|ember|east|gasket|77|held
1388|fulton|south|gasket|87|paid
1714|ember|east|gasket|67|held
1398|birch|west|panel|99|held
1649|ember|north|valve|16|pending
1484|dorian|west|sensor|79|held
1367|acme|north|frame|34|held
1504|gale|west|gasket|55|pending
1461|ember|west|pump|17|held
1759|acme|south|panel|31|held
2158|dorian|east|gasket|71|pending
1962|ionic|south|frame|46|shipped
1732|dorian|east|gasket|67|held
2136|cobalt|south|gasket|83|shipped
2069|cobalt|south|panel|61|paid
1819|harbor|south|gasket|82|paid
1376|ionic|north|sensor|42|pending
2253|ember|south|panel|26|shipped
1642|fulton|west|cable|86|held
1712|harbor|north|valve|14|held
2043|birch|west|cable|31|pending
2042|harbor|south|cable|62|shipped
1638|juno|west|valve|14|pending
1754|cobalt|west|panel|55|shipped
1565|fulton|west|frame|87|held
1597|ember|east|cable|85|shipped
1660|ember|west|gasket|79|paid
1499|fulton|south|rotor|48|pending
2066|birch|north|rotor|17|paid
1715|birch|south|gasket|83|pending
1864|cobalt|south|rotor|33|pending
1788|gale|north|rotor|85|shipped
1958|cobalt|south|sensor|67|paid
1942|harbor|south|gasket|96|pending
2022|fulton|north|sensor|60|held
1576|juno|east|rotor|13|held
1491|juno|west|frame|81|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"restock","args":{"item":"sensor","qty":72}}, {"tool":"cancel_order","args":{"order_id":1325}}, {"tool":"cancel_order","args":{"order_id":1341}}, {"tool":"restock","args":{"item":"pump","qty":79}}, {"tool":"cancel_order","args":{"order_id":1376}} ]
correctagentic.tools.ledger-v1conf 100% · 944ms · $0.003 · 2177 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: $825
- tango: $573
- oscar: $162

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $578 from "kilo" to "tango"
2. pay $549 from "oscar" to "kilo"
3. pay $93 from "tango" to "kilo"
4. pay $214 from "tango" 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": "kilo", "to": "tango", "amount": 578 } }, { "tool": "top_up_from_reserve", "args": { "account": "oscar", "amount": 387 } }, { "tool": "transfer", "args": { "from": "oscar", "to": "kilo", "amount": 549 } }, { "tool": "transfer", "args": { "from": "tango", "to": "kilo", "amount": 93 } }, { "tool": "transfer", "args": { "from": "tango", "to": "kilo", "amount": 214 } } ]
correctagentic.tools.triage-v1conf 100% · 920ms · $0.003 · 2580 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → chen
- data → tanaka
- payments → okafor

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 6)
2. "webhooks not delivered" (category: infra, priority 6)
3. "card declined at checkout" (category: payments, priority 5)
4. "API latency spikes" (category: infra, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}} ]
wrongagentic.tools.context-load-v1conf 100% · 1.7s · $0.017 · 13627 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 (223 records, format: id|customer|region|item|qty|status):
```
2100|harbor|west|panel|18|shipped
1706|gale|east|cable|38|held
2187|ember|north|frame|36|pending
1744|cobalt|west|panel|10|held
1832|acme|east|frame|13|shipped
2012|ember|west|panel|74|paid
2079|juno|south|pump|60|paid
1934|ember|north|panel|17|shipped
2008|juno|north|sensor|89|shipped
1545|harbor|west|cable|68|held
2093|fulton|west|panel|66|pending
1417|juno|south|valve|63|held
1335|birch|south|cable|14|pending
1537|dorian|south|cable|70|pending
1563|ember|south|sensor|86|paid
2056|ionic|south|cable|28|shipped
1637|cobalt|west|pump|62|pending
1558|acme|south|frame|95|shipped
1581|gale|east|valve|95|held
1959|dorian|west|valve|25|pending
1434|birch|south|panel|55|pending
1599|birch|east|frame|91|held
1441|juno|south|rotor|12|paid
2167|juno|north|sensor|76|paid
1505|ionic|north|cable|91|paid
1525|acme|west|panel|32|held
1667|dorian|north|frame|32|shipped
1474|acme|north|rotor|75|held
1710|ember|east|frame|17|pending
2221|fulton|south|gasket|74|paid
2112|birch|east|valve|27|pending
2022|gale|east|frame|84|paid
1410|gale|south|rotor|86|shipped
2063|harbor|east|cable|98|held
1680|dorian|south|gasket|84|pending
2082|acme|east|gasket|45|shipped
1719|cobalt|south|frame|32|pending
1755|ionic|north|frame|28|paid
1575|ember|north|rotor|42|held
1940|gale|north|frame|43|pending
1873|harbor|north|cable|98|held
1585|acme|south|sensor|11|pending
1606|fulton|north|frame|50|held
1728|harbor|east|valve|10|paid
1981|juno|east|panel|48|pending
1414|cobalt|west|sensor|90|paid
1548|dorian|south|gasket|34|shipped
2017|acme|east|cable|22|held
1713|acme|north|rotor|71|paid
2214|ionic|north|frame|78|shipped
1592|birch|east|panel|21|held
1391|fulton|south|cable|94|held
2072|cobalt|north|pump|26|pending
1468|acme|south|frame|13|held
1618|juno|west|valve|84|paid
1822|ionic|south|gasket|60|shipped
1354|birch|north|rotor|13|pending
1675|fulton|east|cable|95|held
1777|juno|north|valve|70|held
1520|ember|north|rotor|57|held
1812|ember|south|rotor|54|shipped
1495|acme|west|frame|64|paid
1461|ionic|west|panel|92|paid
1531|gale|south|cable|11|paid
1569|ionic|west|pump|53|paid
1983|fulton|south|gasket|73|shipped
1672|juno|west|gasket|61|shipped
2130|dorian|north|cable|69|paid
1785|dorian|west|pump|76|paid
1500|acme|west|sensor|66|shipped
1328|birch|north|frame|34|pending
1952|cobalt|west|rotor|16|shipped
2036|acme|west|valve|56|paid
1914|cobalt|east|rotor|57|pending
1897|birch|south|frame|78|held
2172|juno|east|valve|32|pending
1393|ember|west|panel|53|paid
1855|juno|west|frame|57|shipped
1554|juno|east|gasket|58|paid
1990|juno|south|rotor|84|held
1572|fulton|south|rotor|19|paid
1772|acme|east|cable|58|held
1506|fulton|south|cable|53|pending
1631|fulton|north|pump|41|shipped
1917|acme|south|pump|28|held
1411|cobalt|north|cable|84|held
2043|harbor|east|cable|93|paid
1488|gale|west|valve|21|held
2147|acme|west|frame|40|shipped
1487|ember|north|cable|67|held
1892|birch|north|gasket|48|held
1475|ember|south|cable|56|shipped
1811|dorian|west|pump|59|pending
1330|birch|south|frame|68|held
2182|fulton|east|panel|47|paid
1369|birch|north|panel|16|pending
1839|harbor|east|pump|21|shipped
1678|cobalt|west|gasket|92|held
1749|acme|east|panel|86|held
1807|ionic|south|panel|35|held
2225|cobalt|east|cable|39|paid
2025|ionic|east|cable|98|shipped
1455|juno|north|rotor|52|paid
1965|ember|south|valve|68|shipped
1862|ember|north|panel|43|shipped
2011|dorian|east|panel|60|held
2136|birch|west|cable|69|pending
1786|gale|east|cable|32|shipped
1757|ionic|east|valve|47|shipped
1693|ember|west|pump|53|held
2166|ionic|north|cable|10|pending
2050|fulton|south|rotor|44|shipped
1352|birch|south|panel|85|pending
1976|ember|north|sensor|80|held
1992|birch|west|pump|72|shipped
1898|dorian|west|valve|96|held
2231|cobalt|south|cable|38|held
1852|ember|west|gasket|31|held
1653|ember|east|frame|24|pending
1624|ionic|west|sensor|90|shipped
2125|ember|north|panel|74|paid
2227|fulton|north|cable|38|shipped
1702|cobalt|north|rotor|20|held
2140|ionic|east|valve|63|paid
1826|gale|south|sensor|97|paid
1649|ionic|west|frame|28|held
1482|ember|north|pump|18|pending
2102|acme|north|gasket|69|shipped
2051|juno|north|sensor|71|paid
1988|juno|north|panel|27|held
1543|birch|east|sensor|25|shipped
2028|dorian|south|gasket|10|held
1379|ember|west|cable|93|pending
1406|cobalt|west|cable|88|paid
1449|ionic|north|sensor|61|paid
1652|birch|west|rotor|36|pending
1512|dorian|east|gasket|54|shipped
2105|ember|north|frame|93|paid
1433|fulton|north|frame|63|pending
1928|ionic|south|valve|35|paid
1874|juno|east|rotor|44|paid
2131|gale|south|cable|63|paid
1518|juno|north|cable|38|pending
2030|juno|north|sensor|44|paid
1388|dorian|north|valve|24|held
1361|birch|south|gasket|65|held
1970|cobalt|north|frame|25|shipped
1340|birch|north|panel|95|pending
2197|gale|west|frame|77|pending
2188|juno|west|sensor|65|pending
2004|birch|south|rotor|13|paid
1781|cobalt|east|frame|94|held
1608|cobalt|east|gasket|12|paid
1486|gale|south|pump|63|paid
1399|dorian|south|valve|57|held
2224|ember|south|sensor|22|shipped
2154|ionic|south|rotor|19|pending
1846|ionic|south|panel|40|pending
2193|ember|north|cable|85|pending
1566|harbor|east|panel|95|shipped
1366|birch|south|sensor|31|pending
1691|gale|south|sensor|98|held
2161|birch|south|panel|50|paid
1999|ember|south|valve|31|shipped
1908|ember|east|rotor|64|pending
1882|gale|west|gasket|54|shipped
1644|cobalt|east|rotor|73|pending
1422|fulton|north|frame|25|pending
1923|acme|west|panel|71|shipped
1427|ember|north|cable|36|shipped
2190|acme|east|panel|54|shipped
1721|cobalt|north|frame|93|shipped
1445|gale|west|cable|89|pending
1793|ember|west|gasket|20|pending
1869|dorian|south|valve|92|held
1654|juno|south|panel|66|paid
1738|harbor|north|rotor|82|paid
1902|harbor|south|cable|48|held
1760|ember|east|gasket|42|held
1615|acme|east|rotor|77|pending
2029|ember|north|cable|52|shipped
1561|gale|north|frame|50|shipped
1945|juno|east|valve|43|pending
1493|ionic|south|frame|38|shipped
1346|birch|south|gasket|16|paid
1385|harbor|east|cable|20|pending
2116|dorian|north|sensor|48|paid
2124|gale|north|sensor|35|held
1628|birch|west|frame|82|paid
1661|birch|east|cable|40|pending
1484|cobalt|west|frame|76|shipped
2178|dorian|west|cable|14|paid
2068|harbor|west|cable|70|paid
1700|ember|east|panel|42|pending
1929|cobalt|east|frame|77|held
1876|acme|west|valve|82|shipped
1888|birch|north|panel|99|shipped
2134|acme|east|rotor|85|held
1895|birch|south|pump|30|shipped
1687|acme|west|rotor|83|pending
1733|cobalt|east|cable|30|shipped
2088|juno|south|sensor|35|pending
1984|juno|south|rotor|24|shipped
1815|birch|north|panel|44|held
2208|cobalt|west|valve|85|pending
1736|ember|east|panel|20|pending
1883|ionic|north|pump|89|paid
2216|ember|west|pump|67|paid
1668|juno|east|frame|58|paid
2080|harbor|north|pump|91|shipped
1830|juno|north|frame|67|paid
1767|juno|west|valve|65|shipped
2107|juno|north|rotor|15|pending
1745|ionic|south|gasket|74|pending
1617|juno|west|panel|15|pending
1800|cobalt|south|rotor|24|paid
1321|birch|south|pump|55|pending
1926|acme|west|pump|82|pending
2121|acme|west|gasket|89|held
1656|ionic|east|gasket|82|pending
2204|birch|south|gasket|74|paid
1375|birch|south|valve|83|paid
1946|cobalt|north|valve|31|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1335}}, {"tool": "restock", "args": {"item": "panel", "qty": 85}}, {"tool": "cancel_order", "args": {"order_id": 1366}}, {"tool": "cancel_order", "args": {"order_id": 1434}} ]
correctagentic.tools.deploy-v1conf 100% · 2.0s · $0.002 · 1358 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.ledger-v1conf 100% · 774ms · $0.003 · 2041 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $397
- kilo: $399
- delta: $555

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $205 from "delta" to "echo"
2. pay $543 from "kilo" to "delta"
3. pay $495 from "echo" to "kilo"
4. pay $499 from "delta" to "kilo"
5. pay $582 from "kilo" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 205}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 144}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 543}}, {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 495}}, {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 499}}, {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 582}} ]
correctagentic.tools.triage-v1conf 100% · 791ms · $0.002 · 1825 tok
question
You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

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

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 2)
2. "cannot reset password" (category: auth, priority 4)
3. "card declined at checkout" (category: payments, 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": "card declined at checkout", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "rivera" } }, { "tool": "create_ticket", "args": { "title": "cannot reset password", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 2 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-1" } } ]
correctagentic.tools.deploy-v1conf 100% · 1.2s · $0.001 · 932 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.context-load-v1conf 100% · 891ms · $0.015 · 11481 tok
question
You are an order-operations agent working strictly through tool calls.

TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)

ORDER LEDGER (285 records, format: id|customer|region|item|qty|status):
```
1897|ember|south|valve|92|shipped
1893|gale|north|valve|82|pending
1927|ember|west|gasket|56|shipped
2202|ember|west|cable|87|pending
2088|dorian|north|cable|16|pending
2301|cobalt|north|gasket|21|shipped
1863|ionic|east|gasket|36|held
1624|acme|west|valve|42|paid
1986|cobalt|south|panel|93|pending
1687|harbor|north|pump|24|shipped
2492|cobalt|west|pump|75|pending
1848|acme|east|gasket|78|paid
2289|ionic|east|panel|63|held
1733|gale|west|sensor|82|shipped
2100|harbor|north|cable|35|held
2419|birch|east|cable|51|pending
1924|gale|north|sensor|18|paid
1736|fulton|east|sensor|70|paid
1540|dorian|north|cable|50|shipped
2370|fulton|east|cable|52|shipped
1761|gale|west|rotor|11|shipped
2077|cobalt|south|gasket|50|pending
2374|harbor|north|panel|70|pending
2465|fulton|east|sensor|85|held
1925|ember|south|gasket|26|paid
1659|acme|north|pump|48|held
1590|acme|west|valve|46|held
1469|birch|east|cable|91|shipped
2422|fulton|east|cable|26|shipped
2001|harbor|west|rotor|52|shipped
1938|ember|west|rotor|53|held
1964|ionic|south|valve|59|paid
2164|gale|south|sensor|90|paid
2009|acme|south|valve|43|pending
1868|acme|north|valve|21|paid
2061|dorian|south|pump|39|shipped
1552|fulton|north|pump|71|shipped
2141|birch|south|rotor|83|pending
1428|ionic|south|pump|79|paid
1642|harbor|south|gasket|82|shipped
1705|harbor|south|pump|26|held
2084|cobalt|north|panel|60|shipped
1812|ionic|north|panel|47|held
1695|juno|east|valve|13|paid
2150|ionic|east|gasket|18|pending
1981|fulton|south|frame|37|shipped
1506|harbor|south|sensor|14|held
1940|harbor|west|panel|73|pending
2489|cobalt|west|valve|15|pending
1806|harbor|south|pump|88|pending
1464|harbor|east|pump|36|paid
2244|birch|east|pump|78|pending
2384|fulton|north|panel|38|paid
1995|ionic|south|pump|73|pending
2003|harbor|east|rotor|64|held
1711|juno|south|rotor|69|pending
2156|ember|north|gasket|41|shipped
2436|cobalt|east|rotor|26|pending
2204|gale|north|gasket|82|paid
1606|harbor|east|gasket|32|paid
2418|fulton|south|cable|75|held
2336|dorian|east|frame|75|paid
1701|juno|west|gasket|40|held
1591|gale|north|frame|37|shipped
2256|harbor|east|pump|54|pending
2113|birch|north|gasket|45|paid
2283|ember|west|panel|32|pending
2190|juno|east|pump|12|shipped
1839|gale|east|sensor|36|pending
1827|gale|west|pump|46|held
1837|dorian|west|gasket|83|paid
1816|ember|west|valve|14|pending
1748|ionic|west|sensor|52|shipped
1723|cobalt|east|panel|15|shipped
1906|gale|south|cable|88|pending
2350|ionic|north|frame|70|paid
2151|juno|south|valve|77|pending
1511|birch|east|pump|28|pending
2176|juno|east|pump|12|shipped
2238|fulton|west|valve|37|paid
2355|birch|east|cable|82|paid
1826|birch|north|pump|37|shipped
1626|cobalt|north|valve|98|held
1537|fulton|east|panel|56|pending
2079|ember|south|gasket|50|paid
1751|gale|east|valve|91|shipped
2213|fulton|west|pump|42|pending
2361|dorian|west|gasket|29|pending
2237|birch|north|rotor|79|pending
1961|ember|west|rotor|10|shipped
1522|ionic|east|rotor|60|held
1593|cobalt|north|valve|85|held
2234|cobalt|north|panel|44|pending
1539|harbor|north|sensor|88|shipped
2435|dorian|west|rotor|53|pending
1948|birch|west|valve|34|shipped
1670|ember|east|panel|61|pending
1618|dorian|east|frame|54|paid
2524|acme|north|valve|78|paid
2371|juno|east|gasket|68|shipped
2326|birch|east|cable|50|shipped
1653|ember|north|pump|49|pending
1582|juno|north|rotor|24|pending
1674|fulton|west|panel|82|paid
1509|ember|east|frame|18|held
1973|fulton|east|rotor|10|paid
1975|cobalt|west|sensor|72|shipped
2249|acme|north|sensor|75|paid
2254|fulton|south|rotor|44|shipped
2144|juno|south|rotor|94|held
1727|ember|south|panel|69|held
2196|harbor|east|sensor|33|shipped
2516|harbor|south|gasket|89|pending
1436|ionic|west|pump|99|pending
2097|fulton|east|gasket|25|held
1842|cobalt|south|valve|74|paid
1461|dorian|west|frame|82|held
1456|birch|south|panel|82|pending
2209|acme|south|frame|67|paid
1767|ionic|south|cable|37|pending
2305|ember|west|sensor|88|pending
1994|gale|north|gasket|87|paid
2032|harbor|north|rotor|72|pending
2275|juno|west|sensor|58|pending
1563|ember|north|valve|62|held
1681|juno|north|sensor|43|shipped
2477|ionic|east|pump|13|held
1567|harbor|north|panel|94|held
2395|ionic|north|cable|58|shipped
1993|cobalt|north|sensor|96|shipped
2135|birch|north|rotor|60|held
2128|ember|north|gasket|80|paid
1498|ionic|north|valve|56|held
2187|ionic|east|frame|43|held
1658|dorian|west|panel|12|shipped
2264|ember|north|cable|71|pending
2408|birch|west|rotor|34|shipped
1911|fulton|south|gasket|98|shipped
1963|acme|east|valve|23|held
1754|cobalt|south|sensor|86|paid
1902|juno|north|sensor|44|pending
1770|dorian|north|cable|73|held
1514|ember|north|sensor|39|shipped
1879|birch|south|rotor|49|held
2306|cobalt|north|pump|83|paid
1573|birch|north|gasket|37|paid
2505|gale|north|pump|39|pending
2014|ember|north|gasket|88|pending
2390|fulton|west|gasket|39|paid
1873|harbor|west|pump|96|held
1675|ionic|south|rotor|70|held
1841|dorian|east|pump|24|shipped
2500|fulton|north|rotor|76|shipped
2109|gale|east|cable|99|held
2251|juno|south|valve|51|held
1435|ionic|south|sensor|63|pending
2496|juno|east|valve|24|paid
1957|birch|east|valve|45|paid
2065|juno|south|valve|88|shipped
1755|juno|west|rotor|39|pending
2291|acme|north|cable|47|pending
1422|ionic|south|pump|26|paid
1533|cobalt|west|cable|97|shipped
2445|acme|west|cable|47|paid
2407|cobalt|east|gasket|12|paid
1648|dorian|north|rotor|22|pending
2280|ember|south|sensor|47|paid
2029|fulton|east|panel|67|pending
2429|harbor|north|pump|77|pending
2037|cobalt|east|cable|82|held
2046|dorian|north|sensor|34|paid
2056|birch|west|rotor|41|pending
1952|ember|south|pump|40|pending
2044|fulton|east|panel|96|pending
2069|acme|south|frame|92|paid
2296|cobalt|east|sensor|70|held
2261|juno|east|cable|99|pending
1969|ember|west|cable|14|pending
2352|gale|south|gasket|91|shipped
2092|juno|north|valve|25|pending
1934|fulton|east|gasket|56|pending
1944|acme|north|rotor|82|paid
1790|cobalt|west|panel|69|pending
1586|acme|west|gasket|31|held
2287|acme|south|pump|83|paid
1657|gale|south|valve|44|pending
1587|cobalt|south|gasket|51|paid
1598|dorian|west|pump|32|paid
1822|gale|south|sensor|99|held
1647|birch|south|rotor|19|paid
1420|ionic|west|sensor|22|pending
1700|juno|east|frame|68|pending
2438|juno|east|gasket|35|held
1801|juno|north|cable|90|pending
1686|juno|east|frame|53|held
1580|harbor|west|pump|21|held
1794|ionic|east|rotor|47|pending
1485|ember|east|panel|62|shipped
1529|ember|north|rotor|60|held
1556|acme|west|valve|75|shipped
2004|birch|east|rotor|52|paid
1546|fulton|east|cable|42|paid
2123|gale|north|rotor|39|pending
1612|acme|south|pump|23|paid
1638|dorian|east|gasket|54|pending
2104|gale|west|rotor|78|pending
1882|ember|south|cable|93|paid
2117|cobalt|west|rotor|87|paid
2181|harbor|east|frame|90|pending
2224|acme|east|rotor|81|pending
2347|birch|north|sensor|89|shipped
2271|dorian|north|cable|90|paid
1516|dorian|west|rotor|64|held
1650|dorian|east|frame|94|paid
1445|ionic|south|rotor|34|pending
2269|birch|west|rotor|61|paid
1632|dorian|west|pump|56|pending
2414|dorian|north|valve|16|held
2081|juno|east|pump|52|paid
1830|gale|south|frame|53|held
2050|fulton|north|gasket|32|held
2309|birch|west|frame|43|shipped
1922|harbor|east|frame|27|paid
1950|ember|east|frame|55|shipped
1663|gale|south|sensor|46|paid
1627|cobalt|east|rotor|94|held
1965|dorian|north|gasket|11|held
1857|acme|south|gasket|81|held
1581|juno|south|frame|62|pending
2177|acme|north|cable|37|held
1836|harbor|west|valve|81|shipped
2073|ember|east|sensor|24|shipped
2450|harbor|north|panel|16|held
1846|dorian|north|valve|30|shipped
1783|dorian|south|gasket|41|shipped
1853|ember|north|rotor|95|pending
1600|fulton|east|valve|50|paid
1872|acme|east|cable|16|pending
1688|birch|west|valve|21|pending
2243|dorian|east|rotor|29|paid
1502|ionic|north|gasket|56|shipped
1418|ionic|south|valve|20|pending
2200|birch|east|gasket|73|paid
2015|fulton|south|frame|66|paid
2161|cobalt|west|panel|96|paid
1743|dorian|south|cable|55|paid
1455|acme|east|gasket|80|paid
1866|dorian|north|frame|23|shipped
2316|ionic|east|pump|92|paid
1426|ionic|north|cable|17|pending
2058|ionic|east|frame|23|shipped
2332|acme|east|sensor|59|shipped
1492|cobalt|south|cable|74|pending
2022|dorian|east|pump|50|shipped
1474|harbor|south|gasket|72|held
1789|fulton|south|gasket|87|pending
2223|fulton|west|panel|79|shipped
2511|ionic|east|panel|16|paid
1478|ember|south|pump|65|held
2365|cobalt|south|gasket|42|paid
1454|ionic|south|gasket|19|shipped
1680|dorian|south|valve|52|pending
2402|dorian|east|valve|65|pending
2459|birch|south|frame|29|paid
1718|gale|north|valve|20|pending
1851|acme|south|cable|11|paid
1776|harbor|north|gasket|83|held
1443|ionic|south|valve|73|held
1451|ionic|north|panel|23|pending
1888|birch|north|rotor|96|pending
2321|acme|east|valve|24|shipped
1472|ember|west|frame|59|shipped
2230|dorian|north|sensor|80|pending
2482|dorian|south|gasket|85|shipped
2217|ember|west|valve|51|held
1918|acme|south|pump|55|held
2520|fulton|west|sensor|53|held
1862|dorian|north|valve|73|paid
1423|ionic|south|gasket|70|pending
2453|cobalt|west|rotor|73|paid
2340|dorian|south|rotor|65|pending
1956|fulton|west|rotor|25|shipped
2472|dorian|south|rotor|33|shipped
2171|ionic|north|valve|44|held
2380|fulton|east|cable|82|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "south" 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": "cancel_order", "args": {"order_id": 1418}}, {"tool": "restock", "args": {"item": "gasket", "qty": 70}}, {"tool": "restock", "args": {"item": "sensor", "qty": 63}}, {"tool": "cancel_order", "args": {"order_id": 1445}}, {"tool": "cancel_order", "args": {"order_id": 1767}}, {"tool": "restock", "args": {"item": "pump", "qty": 73}} ]
correctagentic.tools.ledger-v1conf 100% · 1.7s · $0.001 · 930 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: $776
- alpha: $867
- delta: $715

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $327 from "delta" to "kilo"
2. pay $574 from "alpha" to "delta"
3. pay $332 from "kilo" to "delta"
4. pay $91 from "delta" to "alpha"
5. pay $370 from "alpha" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"transfer","args":{"from":"delta","to":"kilo","amount":327}}, {"tool":"transfer","args":{"from":"alpha","to":"delta","amount":574}}, {"tool":"transfer","args":{"from":"kilo","to":"delta","amount":332}}, {"tool":"transfer","args":{"from":"delta","to":"alpha","amount":91}}, {"tool":"transfer","args":{"from":"alpha","to":"delta","amount":370}} ]
correctagentic.tools.triage-v1conf 100% · 832ms · $0.003 · 2235 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → dubois
- infra → okafor
- payments → haddad

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "webhooks not delivered" (category: infra, priority 7)
3. "webhooks not delivered" (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": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "dubois" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 7 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 7 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } } ]
correctagentic.tools.context-load-v1conf 100% · 966ms · $0.021 · 16260 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 (293 records, format: id|customer|region|item|qty|status):
```
1281|acme|north|gasket|64|shipped
1927|juno|east|rotor|83|pending
1575|harbor|east|rotor|77|held
1812|fulton|north|pump|41|pending
1994|ionic|south|pump|37|shipped
1508|ionic|east|panel|67|shipped
1920|gale|north|sensor|79|held
1225|ionic|east|sensor|23|held
1982|birch|west|sensor|50|shipped
1728|ionic|east|pump|53|held
1247|ember|north|frame|69|shipped
1428|harbor|south|pump|11|paid
2147|gale|north|pump|76|held
2159|cobalt|south|pump|50|paid
1237|ember|east|valve|79|pending
1147|juno|west|rotor|53|paid
2023|ember|north|valve|54|held
2215|acme|south|sensor|35|shipped
1782|juno|north|rotor|26|pending
1258|birch|south|valve|72|paid
1691|juno|west|frame|41|pending
1399|ionic|north|frame|84|held
1554|gale|east|panel|98|shipped
1125|dorian|north|frame|83|shipped
1785|harbor|west|frame|67|shipped
1626|harbor|north|rotor|22|shipped
2093|ember|west|rotor|49|shipped
1176|fulton|north|frame|45|paid
1340|birch|east|gasket|55|paid
1150|gale|east|frame|72|pending
1493|acme|east|panel|23|shipped
1285|harbor|east|pump|14|paid
1504|acme|north|pump|14|paid
1842|acme|east|gasket|31|paid
1326|gale|south|panel|52|held
1773|juno|east|sensor|23|shipped
1783|ember|north|rotor|78|held
1474|acme|south|valve|15|shipped
1269|gale|east|cable|93|paid
2035|dorian|east|cable|31|pending
1094|juno|south|frame|73|pending
1902|dorian|north|gasket|81|paid
1563|ember|west|sensor|96|paid
1556|cobalt|west|rotor|72|pending
1136|dorian|north|sensor|13|held
1606|dorian|west|frame|32|held
1386|acme|north|valve|57|shipped
2114|acme|east|rotor|23|held
2005|ember|north|frame|55|shipped
1608|harbor|north|valve|88|pending
2140|juno|east|pump|38|paid
2011|gale|west|frame|76|paid
1099|birch|west|valve|86|shipped
1073|gale|south|panel|92|shipped
2000|fulton|east|pump|94|paid
1422|birch|south|cable|58|paid
1520|cobalt|north|gasket|47|held
2071|birch|east|cable|20|held
2037|juno|east|frame|10|shipped
1306|birch|south|cable|29|pending
1323|birch|north|rotor|46|pending
1461|juno|east|gasket|37|held
1959|ember|west|rotor|27|shipped
2190|fulton|west|panel|37|paid
1478|ionic|east|gasket|72|pending
1976|cobalt|north|panel|69|held
1699|birch|south|panel|57|pending
1056|juno|south|pump|66|pending
2055|acme|west|frame|44|shipped
1838|ionic|north|valve|57|shipped
1877|harbor|north|frame|70|pending
1740|ember|east|rotor|34|held
2134|gale|east|pump|27|paid
2062|acme|east|panel|46|held
1752|ionic|south|panel|15|paid
1536|ember|north|frame|48|pending
1874|fulton|south|pump|56|held
2085|birch|west|rotor|17|pending
1351|gale|east|cable|90|shipped
2179|acme|north|valve|53|pending
2160|cobalt|east|frame|84|pending
2199|gale|south|cable|39|held
1418|birch|south|panel|59|paid
1057|birch|north|valve|51|shipped
1455|ember|west|sensor|78|paid
1756|fulton|south|sensor|24|held
1987|ember|west|rotor|33|held
2069|ember|north|sensor|18|pending
1660|dorian|west|cable|14|held
1052|ember|south|frame|84|shipped
1334|birch|north|gasket|93|paid
1659|ember|north|rotor|66|held
1726|fulton|east|panel|23|held
2074|acme|north|gasket|39|shipped
1558|harbor|south|sensor|13|pending
1995|harbor|east|valve|53|paid
1818|dorian|east|valve|61|held
1264|harbor|west|pump|47|shipped
1465|ionic|west|rotor|61|paid
2103|juno|north|panel|34|pending
1894|dorian|east|gasket|80|shipped
1358|birch|east|rotor|13|held
1674|ionic|east|pump|66|held
1790|fulton|south|panel|43|held
1524|gale|south|pump|63|held
1093|cobalt|east|gasket|43|shipped
1952|acme|east|cable|28|pending
1539|acme|north|gasket|85|held
2096|acme|west|rotor|96|shipped
1873|cobalt|east|sensor|73|shipped
1274|acme|north|rotor|79|held
1420|cobalt|south|sensor|24|shipped
1954|gale|west|gasket|70|paid
1436|juno|south|cable|80|paid
1629|ember|north|sensor|17|pending
1075|gale|north|cable|52|held
1779|juno|south|pump|22|held
1038|ember|north|sensor|97|pending
1142|fulton|north|frame|61|pending
1684|harbor|east|valve|65|shipped
1662|acme|south|rotor|72|held
1037|ember|south|pump|97|pending
1617|ember|south|sensor|25|pending
1744|juno|east|cable|18|paid
2078|harbor|west|rotor|27|held
1473|ember|west|rotor|42|held
1232|fulton|west|panel|40|shipped
1869|ember|north|valve|27|paid
1107|acme|east|panel|40|held
1131|ember|east|pump|51|paid
1009|ember|south|rotor|16|pending
1544|cobalt|south|frame|91|held
1540|ionic|south|panel|74|held
1621|cobalt|west|pump|60|shipped
1082|ionic|west|rotor|39|shipped
1105|gale|north|cable|11|held
1417|fulton|east|gasket|37|shipped
1406|juno|west|gasket|82|paid
2044|gale|east|cable|27|paid
1633|gale|south|pump|26|paid
1802|ember|west|sensor|53|pending
1597|fulton|west|panel|31|held
1365|cobalt|east|rotor|44|shipped
1218|dorian|south|valve|94|held
2089|ionic|west|valve|63|paid
1697|ionic|east|gasket|11|pending
1526|birch|south|rotor|49|paid
1235|fulton|west|pump|75|held
1732|ember|south|pump|91|paid
1216|cobalt|north|sensor|41|pending
1721|dorian|east|pump|89|paid
1909|harbor|north|gasket|63|shipped
1208|harbor|south|rotor|53|pending
1440|gale|north|valve|31|pending
1713|fulton|north|cable|20|paid
1991|ember|north|sensor|48|pending
1192|harbor|west|cable|24|held
2121|dorian|north|rotor|68|held
1292|ember|north|rotor|96|shipped
1446|harbor|south|panel|55|paid
2014|fulton|west|gasket|92|paid
1185|cobalt|north|sensor|32|pending
1253|juno|east|valve|29|shipped
1832|acme|south|rotor|19|held
1586|fulton|west|valve|80|held
1809|fulton|west|frame|57|shipped
1615|harbor|west|panel|23|shipped
1338|harbor|east|sensor|44|held
1880|ionic|south|gasket|75|held
1016|ember|east|valve|45|pending
2200|dorian|north|panel|26|paid
2197|acme|west|sensor|71|held
1047|ember|west|frame|72|pending
1549|harbor|east|rotor|42|paid
1849|dorian|south|frame|16|pending
2048|ionic|north|sensor|93|paid
1570|juno|east|valve|20|pending
1763|cobalt|south|pump|85|held
1298|harbor|north|pump|69|shipped
1100|fulton|east|valve|38|shipped
2126|fulton|west|frame|98|paid
1429|fulton|west|gasket|48|paid
1411|juno|north|sensor|94|shipped
1645|ember|south|panel|71|pending
1180|harbor|east|pump|40|shipped
1971|birch|west|cable|51|paid
1137|ionic|south|gasket|76|pending
1289|ionic|south|panel|87|paid
2176|ember|north|rotor|36|held
1024|ember|south|gasket|37|pending
1511|juno|south|pump|27|pending
1945|gale|east|sensor|15|pending
1416|juno|north|pump|15|shipped
1158|ember|west|gasket|73|held
1745|gale|east|sensor|84|held
1942|ionic|north|sensor|52|pending
1165|birch|west|rotor|41|held
2209|cobalt|north|gasket|85|pending
1374|juno|east|frame|97|shipped
1205|acme|north|rotor|37|held
1935|acme|south|frame|59|pending
1665|harbor|north|pump|35|pending
1531|birch|south|rotor|45|paid
1853|ember|north|sensor|79|pending
1649|juno|south|rotor|17|pending
1353|birch|east|rotor|10|held
1792|juno|south|cable|72|pending
1776|ionic|west|valve|72|paid
2185|birch|west|gasket|58|paid
1174|dorian|east|cable|12|pending
1074|fulton|south|sensor|91|paid
2172|harbor|south|gasket|95|paid
1069|dorian|east|rotor|39|pending
1932|acme|south|frame|10|pending
1480|juno|east|cable|64|pending
2109|acme|east|rotor|25|shipped
1820|fulton|east|sensor|59|held
1113|birch|east|frame|75|shipped
1328|ember|north|frame|43|held
1667|ionic|north|sensor|82|pending
2205|cobalt|east|panel|86|paid
1299|ionic|north|panel|32|paid
1799|dorian|south|sensor|77|held
1347|ember|east|cable|22|shipped
2025|birch|east|panel|71|shipped
1355|cobalt|south|pump|15|paid
1198|gale|west|gasket|16|paid
1964|fulton|west|sensor|35|paid
1969|cobalt|west|rotor|27|paid
1652|fulton|east|cable|51|shipped
1827|harbor|east|sensor|51|shipped
1219|cobalt|south|panel|53|pending
1104|acme|north|valve|44|held
2150|fulton|west|gasket|54|pending
1369|fulton|north|sensor|62|shipped
1396|birch|south|gasket|67|held
2131|harbor|north|valve|86|held
1715|dorian|north|frame|37|held
1846|birch|west|cable|48|held
1862|fulton|south|sensor|27|shipped
1120|acme|east|rotor|64|shipped
1061|birch|east|frame|88|held
1029|ember|west|sensor|59|pending
1518|fulton|north|pump|76|held
1391|ember|north|sensor|13|pending
2154|dorian|west|valve|69|paid
1040|ember|south|gasket|57|held
1297|ionic|south|valve|54|shipped
1485|harbor|west|frame|96|held
1580|harbor|south|cable|32|shipped
1170|gale|north|valve|13|pending
1488|harbor|east|rotor|40|paid
1893|harbor|east|panel|83|held
1022|ember|south|rotor|98|paid
1431|ionic|north|gasket|96|held
2017|gale|north|sensor|75|paid
1829|birch|west|gasket|58|pending
1452|cobalt|east|rotor|29|pending
1450|ember|south|cable|37|paid
2210|ionic|south|valve|21|pending
2029|dorian|east|pump|33|pending
1915|birch|west|gasket|20|held
1379|dorian|south|pump|18|pending
1316|gale|west|gasket|10|paid
1086|acme|south|panel|76|shipped
1152|dorian|north|sensor|69|held
1370|cobalt|north|cable|77|pending
1599|harbor|south|cable|57|pending
1032|ember|south|sensor|94|paid
2181|ionic|west|pump|91|shipped
1706|ember|south|cable|63|paid
1272|cobalt|north|sensor|61|held
1470|ionic|north|panel|84|paid
1064|birch|south|cable|58|pending
1614|dorian|north|rotor|21|shipped
1244|ember|west|valve|63|paid
1214|birch|north|gasket|22|held
1215|juno|east|pump|21|pending
1313|ionic|east|panel|94|held
1886|harbor|west|pump|41|shipped
1768|gale|south|panel|37|shipped
1498|acme|south|gasket|96|pending
1045|ember|south|rotor|28|pending
1733|juno|south|panel|25|paid
1460|juno|south|frame|50|shipped
1680|ember|north|gasket|45|paid
1916|juno|south|rotor|68|held
1590|acme|east|pump|92|paid
1899|dorian|west|cable|36|paid
1638|birch|east|sensor|19|shipped
1115|ember|east|cable|92|shipped
2165|juno|south|gasket|27|shipped
1859|gale|south|valve|28|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 49, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1009}}, {"tool": "cancel_order", "args": {"order_id": 1024}}, {"tool": "restock", "args": {"item": "pump", "qty": 97}}, {"tool": "cancel_order", "args": {"order_id": 1045}}, {"tool": "cancel_order", "args": {"order_id": 1617}}, {"tool": "restock", "args": {"item": "panel", "qty": 71}} ]
correctagentic.tools.deploy-v1conf 100% · 895ms · $0.002 · 1780 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1conf 100% · 731ms · $0.003 · 2311 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: $895
- tango: $214
- oscar: $435

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $164 from "tango" to "kilo"
2. pay $178 from "tango" to "kilo"
3. pay $215 from "tango" to "kilo"
4. pay $354 from "tango" to "kilo"
5. pay $191 from "oscar" 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": "tango", "to": "kilo", "amount": 164}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 128}}, {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 178}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 215}}, {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 215}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 354}}, {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 354}}, {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 191}} ]
correctagentic.tools.triage-v1conf 100% · 746ms · $0.003 · 2100 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → silva
- payments → rivera
- infra → chen

INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "card declined at checkout" (category: payments, priority 8)
3. "card declined at checkout" (category: payments, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 8}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 100% · 2.4s · $0.001 · 1149 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: auth-svc
- auth-svc: (none)
- notifier: auth-svc
- gateway: 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 "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}} ]
correctagentic.tools.context-load-v1conf 100% · 859ms · $0.014 · 10695 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 (289 records, format: id|customer|region|item|qty|status):
```
2150|cobalt|north|gasket|38|shipped
1892|acme|north|cable|74|pending
2558|cobalt|west|valve|99|pending
2261|birch|west|sensor|64|shipped
1857|cobalt|north|frame|49|shipped
2158|gale|north|gasket|30|shipped
2156|ember|north|frame|96|held
1569|harbor|east|rotor|88|pending
1908|ionic|east|frame|90|paid
1867|acme|east|rotor|49|held
2160|fulton|south|pump|59|pending
2398|ionic|north|cable|38|paid
2000|harbor|east|gasket|25|held
2005|ionic|east|pump|27|shipped
1575|harbor|east|valve|99|shipped
1698|juno|west|valve|60|paid
1807|dorian|west|pump|62|held
1738|harbor|south|panel|82|held
1628|juno|south|frame|58|shipped
2193|cobalt|north|gasket|18|shipped
2459|juno|west|panel|87|shipped
2520|juno|east|gasket|89|shipped
1928|cobalt|south|cable|60|shipped
1579|fulton|north|cable|64|pending
2013|birch|north|panel|11|pending
1518|ember|east|panel|78|pending
1893|birch|south|gasket|44|paid
1842|cobalt|west|pump|63|pending
2208|dorian|west|rotor|41|held
2421|harbor|north|gasket|41|pending
1786|acme|east|valve|17|pending
2181|gale|east|gasket|69|shipped
2551|juno|south|cable|99|pending
2129|ember|north|rotor|42|shipped
2095|harbor|west|frame|27|paid
2575|ember|east|panel|66|held
2541|harbor|south|cable|35|pending
2184|gale|west|rotor|40|held
1921|juno|south|frame|58|shipped
2228|harbor|south|frame|64|shipped
1476|ember|east|gasket|14|pending
2530|acme|east|valve|88|pending
2469|acme|south|panel|19|held
2215|fulton|east|valve|66|held
2372|birch|south|gasket|13|paid
1544|fulton|north|gasket|25|shipped
1895|ionic|west|frame|92|held
2337|birch|east|sensor|50|shipped
2074|birch|west|gasket|92|shipped
2499|acme|east|gasket|57|held
2086|acme|west|valve|65|paid
1828|harbor|east|sensor|83|pending
1692|dorian|south|panel|16|paid
2023|ember|west|rotor|25|pending
2344|fulton|east|pump|88|pending
2102|gale|north|valve|20|pending
1773|acme|south|sensor|86|paid
2239|dorian|north|cable|70|pending
1652|dorian|east|cable|37|shipped
2242|cobalt|south|frame|90|pending
1471|ember|north|gasket|19|pending
1526|acme|north|panel|95|paid
2586|birch|east|cable|46|pending
1721|fulton|west|pump|62|held
2087|ember|north|pump|66|paid
1489|ember|east|rotor|55|pending
2076|cobalt|east|frame|46|held
2451|birch|west|gasket|49|paid
1934|birch|west|frame|29|pending
1504|ember|north|panel|83|pending
1537|birch|south|rotor|77|held
1834|birch|west|pump|52|paid
2305|acme|east|gasket|94|held
1483|ember|north|rotor|57|paid
2503|birch|west|gasket|92|held
2463|acme|west|cable|77|pending
1930|acme|east|frame|99|held
1805|juno|north|cable|57|shipped
2062|harbor|east|valve|78|paid
2250|fulton|north|cable|91|held
1543|gale|south|valve|34|pending
2054|dorian|south|rotor|79|held
1749|ionic|north|frame|97|paid
1468|ember|east|frame|24|pending
1603|juno|north|sensor|63|shipped
1878|gale|east|sensor|71|paid
2251|harbor|east|panel|95|pending
2173|acme|west|pump|34|pending
2300|harbor|east|pump|45|shipped
2408|fulton|east|frame|11|pending
2004|birch|south|cable|36|held
2580|cobalt|east|sensor|41|held
2496|fulton|east|frame|89|shipped
1900|birch|south|valve|28|shipped
2231|ember|east|gasket|28|held
2281|cobalt|south|valve|11|shipped
2483|ionic|north|rotor|91|pending
2328|fulton|south|gasket|39|shipped
1844|gale|south|valve|18|paid
1493|ember|north|frame|90|pending
1829|birch|north|panel|95|shipped
2284|cobalt|east|cable|39|pending
2238|ember|north|frame|71|held
2470|gale|east|gasket|67|held
2235|dorian|west|pump|28|paid
2326|harbor|west|cable|29|paid
2291|fulton|east|pump|38|shipped
1774|cobalt|west|frame|31|paid
2357|birch|south|gasket|67|held
2203|fulton|west|valve|62|pending
2038|harbor|west|frame|81|paid
1685|dorian|west|frame|77|shipped
1465|ember|north|valve|14|pending
1583|dorian|east|panel|63|held
1979|cobalt|east|frame|54|held
2379|fulton|north|cable|49|pending
2207|ember|east|sensor|96|pending
2270|ionic|south|frame|58|paid
1541|ionic|east|rotor|12|held
2058|harbor|east|sensor|27|held
2301|harbor|south|gasket|23|paid
2141|ionic|west|cable|85|pending
2474|juno|north|cable|63|shipped
1545|acme|east|pump|38|shipped
2182|ionic|east|gasket|39|pending
1512|ember|north|cable|72|shipped
1715|juno|south|panel|51|pending
2331|juno|west|cable|60|pending
2565|cobalt|west|rotor|78|paid
2391|cobalt|east|pump|48|paid
1729|fulton|east|cable|35|shipped
1850|gale|west|frame|32|paid
2480|dorian|south|valve|70|pending
1703|acme|east|rotor|86|shipped
1768|birch|west|gasket|90|pending
1918|ember|west|panel|82|shipped
1680|juno|north|frame|98|pending
2276|fulton|south|sensor|39|held
1792|birch|north|rotor|99|paid
2130|ionic|east|panel|97|paid
1555|harbor|north|sensor|37|pending
1946|cobalt|north|pump|30|paid
1972|ember|north|valve|50|shipped
1485|ember|north|pump|24|pending
1552|acme|west|frame|36|paid
1553|acme|north|frame|47|shipped
1673|harbor|north|cable|63|paid
2220|ionic|east|panel|69|held
1816|fulton|west|gasket|98|paid
2275|ember|west|rotor|64|pending
1800|harbor|east|cable|77|pending
1945|acme|north|valve|20|shipped
1994|ember|west|pump|36|paid
1785|juno|south|gasket|37|held
2319|acme|north|gasket|40|shipped
2136|ember|south|rotor|37|held
1841|fulton|west|sensor|66|shipped
2128|acme|south|frame|70|shipped
2361|cobalt|north|panel|22|held
2354|dorian|west|panel|69|shipped
1885|acme|east|cable|85|paid
2256|fulton|west|panel|56|pending
2011|birch|south|panel|61|paid
1899|acme|east|gasket|12|pending
2177|fulton|south|gasket|76|pending
1610|cobalt|north|cable|65|shipped
2121|birch|south|panel|48|shipped
1501|ember|north|gasket|67|held
1756|harbor|north|rotor|53|shipped
2452|gale|east|sensor|58|paid
1635|gale|north|cable|18|shipped
1910|cobalt|west|pump|31|shipped
2366|acme|east|gasket|66|held
2201|cobalt|north|pump|29|paid
1708|dorian|north|rotor|11|paid
1590|fulton|east|cable|33|paid
2546|ionic|north|panel|17|paid
2473|ember|south|cable|62|pending
2083|ionic|north|pump|12|paid
2570|juno|north|gasket|67|paid
2507|harbor|north|rotor|24|shipped
2395|cobalt|north|sensor|95|pending
1470|ember|north|sensor|96|paid
1826|fulton|north|valve|83|shipped
1983|juno|west|pump|49|shipped
1522|harbor|north|cable|24|pending
2107|gale|west|pump|89|pending
2412|birch|north|panel|75|paid
1914|ember|south|gasket|22|held
2549|acme|east|rotor|70|held
2109|acme|west|panel|78|held
1861|ember|west|rotor|14|paid
1581|harbor|north|panel|77|pending
2190|gale|north|gasket|10|paid
1649|birch|west|cable|86|paid
1849|ionic|north|sensor|32|paid
1500|ember|east|frame|50|pending
2513|acme|west|sensor|54|held
2593|gale|south|sensor|88|pending
2143|gale|north|sensor|99|pending
1962|gale|west|rotor|57|shipped
1642|ionic|east|sensor|71|paid
2585|ember|north|rotor|84|shipped
2432|juno|south|sensor|81|shipped
2490|harbor|west|cable|57|pending
1661|juno|north|gasket|87|shipped
2509|harbor|west|cable|76|paid
2067|harbor|west|gasket|90|pending
2428|fulton|north|frame|17|pending
2293|harbor|west|valve|38|held
1985|fulton|east|gasket|26|paid
1992|harbor|south|sensor|74|paid
2123|acme|north|panel|95|paid
2026|ionic|south|rotor|70|shipped
1736|harbor|west|rotor|64|pending
1556|gale|north|valve|17|shipped
2434|cobalt|north|frame|79|pending
2347|ember|west|frame|44|pending
2090|ionic|east|gasket|97|shipped
1593|harbor|north|gasket|45|shipped
2392|juno|north|panel|48|shipped
2269|dorian|north|pump|94|shipped
2050|juno|east|gasket|12|held
2044|gale|east|valve|36|paid
1802|ember|north|frame|45|shipped
1941|fulton|south|cable|64|paid
1622|juno|west|rotor|23|paid
2028|fulton|east|valve|79|shipped
1744|harbor|south|frame|37|pending
2294|acme|south|gasket|73|paid
1570|ember|west|valve|45|paid
1739|gale|west|frame|58|shipped
2589|juno|east|pump|96|shipped
1894|harbor|south|panel|60|pending
2116|birch|east|gasket|45|paid
1585|juno|west|gasket|48|held
1597|juno|north|sensor|69|paid
1693|acme|west|sensor|18|shipped
1630|juno|north|sensor|81|shipped
1532|acme|south|valve|13|pending
2458|ionic|north|sensor|16|shipped
2444|cobalt|east|frame|27|pending
2535|gale|south|rotor|98|shipped
1639|cobalt|south|rotor|87|pending
1725|ember|west|panel|12|paid
1780|harbor|east|gasket|10|paid
2101|ember|east|cable|39|shipped
2267|dorian|north|panel|73|paid
1874|birch|east|frame|53|shipped
2311|birch|east|gasket|13|paid
2247|ionic|north|frame|72|paid
2226|dorian|south|cable|56|held
1993|birch|west|rotor|31|paid
1492|ember|north|panel|16|held
1679|dorian|south|valve|36|held
2318|gale|east|gasket|43|shipped
1789|birch|south|rotor|38|pending
2523|dorian|west|rotor|55|pending
2436|gale|west|gasket|90|pending
1667|fulton|north|frame|34|pending
2167|ionic|east|rotor|60|shipped
1654|ember|north|cable|76|shipped
2031|ionic|south|frame|57|pending
1615|gale|south|frame|45|paid
1966|ionic|west|pump|22|shipped
2384|dorian|west|panel|13|held
2417|juno|north|rotor|55|shipped
1814|birch|west|cable|53|pending
2401|ionic|east|rotor|63|held
1855|acme|west|cable|74|paid
1571|gale|south|gasket|97|paid
2015|acme|north|panel|35|pending
1795|ionic|south|valve|83|paid
1982|gale|north|rotor|30|shipped
2441|dorian|south|panel|95|shipped
1822|cobalt|east|pump|73|pending
2353|juno|north|frame|29|paid
2358|ionic|north|valve|95|pending
1563|dorian|south|panel|14|paid
1509|ember|west|pump|23|pending
2094|acme|east|cable|66|paid
1902|ember|south|valve|53|held
2196|fulton|east|cable|14|pending
1528|ember|west|valve|29|pending
2017|acme|west|valve|82|paid
1958|juno|north|frame|14|pending
1627|ionic|west|panel|13|paid
1762|gale|east|rotor|29|pending
1952|cobalt|south|gasket|92|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"cancel_order","args":{"order_id":1465}}, {"tool":"cancel_order","args":{"order_id":1471}}, {"tool":"cancel_order","args":{"order_id":1485}}, {"tool":"restock","args":{"item":"frame","qty":90}}, {"tool":"restock","args":{"item":"panel","qty":83}} ]
correctagentic.tools.ledger-v1conf 100% · 764ms · $0.003 · 2352 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- delta: $483
- lima: $334
- kilo: $501

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $248 from "delta" to "lima"
2. pay $354 from "delta" to "lima"
3. pay $301 from "delta" to "kilo"
4. pay $477 from "delta" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"transfer","args":{"from":"delta","to":"lima","amount":248}}, {"tool":"top_up_from_reserve","args":{"account":"delta","amount":119}}, {"tool":"transfer","args":{"from":"delta","to":"lima","amount":354}}, {"tool":"top_up_from_reserve","args":{"account":"delta","amount":301}}, {"tool":"transfer","args":{"from":"delta","to":"kilo","amount":301}}, {"tool":"top_up_from_reserve","args":{"account":"delta","amount":477}}, {"tool":"transfer","args":{"from":"delta","to":"kilo","amount":477}} ]
correctagentic.tools.triage-v1conf 100% · 665ms · $0.004 · 3005 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → silva
- payments → haddad
- data → dubois

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 2)
2. "invoice total wrong" (category: payments, priority 8)
3. "invoice total wrong" (category: payments, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.context-load-v1anchorconf 100% · 1.2s · $0.010 · 7572 tok
model answer: [ {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": 1384}}, {"tool": "restock", "args": {"item": "frame", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1682}} ]
correctagentic.tools.deploy-v1conf 100% · 826ms · $0.002 · 1430 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.ledger-v1conf 100% · 853ms · $0.002 · 1202 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $717
- echo: $873
- alpha: $720

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $314 from "lima" to "alpha"
2. pay $507 from "alpha" to "lima"
3. pay $502 from "lima" to "alpha"
4. pay $285 from "alpha" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 314}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 507}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 502}}, {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 285}} ]
correctagentic.tools.triage-v1conf 100% · 705ms · $0.002 · 1668 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → okafor
- payments → novak
- data → silva

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 7)
2. "webhooks not delivered" (category: infra, priority 7)
3. "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": "webhooks not delivered", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}} ]
correctagentic.tools.triage-v1anchorconf 100% · 2.2s · $0.005 · 3799 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 789ms · $0.001 · 1100 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1anchorconf 100% · 726ms · $0.003 · 2067 tok
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
code 30/30 correct
correctcode.trace.nested-v1conf 100% · 1.2s · $0.008 · 6778 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 318
correctcode.trace.nested-v1conf 100% · 1.4s · $0.004 · 3192 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) % 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: 175
correctcode.trace.js-v1conf 100% · 620ms · $0.001 · 836 tok
question
What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10];
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: 196
correctcode.trace.python-v1conf 100% · 665ms · $0.002 · 1452 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 11
while total + v <= 113:
    if v % 4 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 93
correctcode.trace.js-v1conf 100% · 730ms · $0.001 · 857 tok
question
What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
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: 150
correctcode.trace.nested-v1conf 100% · 740ms · $0.005 · 4266 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 570
correctcode.trace.python-v1conf 100% · 608ms · $0.001 · 1078 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 3
while total + v <= 84:
    if v % 5 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 75
correctcode.trace.js-v1conf 100% · 661ms · $0.001 · 927 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 378
correctcode.trace.python-v1conf 100% · 696ms · $0.002 · 1308 tok
question
What does this Python program print?

```python
total = 0
v = 7
while total + v <= 103:
    if v % 3 != 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: 95
correctcode.trace.nested-v1conf 100% · 1.2s · $0.003 · 2825 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 171
correctcode.trace.js-v1conf 100% · 822ms · $0.001 · 869 tok
question
What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 50
correctcode.trace.nested-v1conf 100% · 825ms · $0.004 · 3580 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 226
correctcode.trace.python-v1conf 100% · 1.2s · $0.001 · 529 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 9
while total + v <= 100:
    if v % 7 != 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: 90
correctcode.trace.js-v1conf 100% · 1.3s · $0.001 · 861 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
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: 210
correctcode.trace.nested-v1conf 100% · 742ms · $0.003 · 2731 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 81
correctcode.trace.python-v1conf 100% · 677ms · $0.001 · 636 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 9
while total + v <= 93:
    if v % 4 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 71
correctcode.trace.js-v1conf 100% · 1.6s · $0.001 · 441 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 60
correctcode.trace.python-v1conf 100% · 719ms · $0.002 · 1330 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 4
while total + v <= 90:
    if v % 3 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 76
correctcode.trace.nested-v1conf 100% · 668ms · $0.005 · 4183 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) % 4 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 205
correctcode.trace.js-v1conf 100% · 696ms · $0.001 · 637 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 30
correctcode.trace.nested-v1conf 100% · 845ms · $0.003 · 2286 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 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: 146
correctcode.trace.python-v1conf 100% · 831ms · $0.001 · 828 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 9
while total + v <= 108:
    if v % 4 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 85
correctcode.trace.js-v1conf 100% · 732ms · $0.001 · 480 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 252
correctcode.trace.python-v1conf 100% · 671ms · $0.002 · 2022 tok
question
What does this Python program print?

```python
total = 0
v = 10
while total + v <= 51:
    if v % 6 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 29
correctcode.trace.nested-v1conf 100% · 709ms · $0.003 · 2379 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 152
correctcode.trace.js-v1conf 100% · 1.2s · $0.001 · 612 tok
question
What does this JavaScript program log?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10];
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: 156
correctcode.trace.nested-v1anchorconf 100% · 1.6s · $0.004 · 3362 tok
model answer: 283
correctcode.trace.python-v1anchorconf 100% · 1.1s · $0.002 · 1515 tok
model answer: 0
correctcode.trace.js-v1anchorconf 100% · 694ms · $0.001 · 413 tok
model answer: 63
correctcode.trace.python-v1anchorconf 100% · 785ms · $0.002 · 1244 tok
model answer: 40
instruction following 30/30 correct
correctif.constraints.stack-v1conf 100% · 737ms · $0.004 · 3663 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "orbit" and the last word must be "tundra".
3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbit drift across harsh deserts everlasting drift beyond ice caps silent drift near ancient ruins vast finally reaching cold tundra
correctif.constraints.stack-v1conf 100% · 752ms · $0.002 · 1612 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "falcon" and the last word must be "comet".
3. Use the word "echo" 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: falcon echo echo echo ancient brass gear turned slowly whispering wind through rusted frame as night fell comet
correctif.format.acronym-v1conf 100% · 835ms · $0.002 · 1355 tok
question
Take the first letter of each of these words, in order: echo, drift, ember, nova, falcon, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EDENFD
correctif.constraints.stack-v1conf 100% · 1.2s · $0.006 · 4829 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "prism" and the last word must be "delta".
3. Use the word "basalt" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism tides swirl over basalt cliffs basalt reefs echo wind whispers waves shimmer dolphins dance ancient sea softly glimmers delta
correctif.format.repeat-v1conf 100% · 837ms · $0.000 · 300 tok
question
Write the word "lumen" 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: LUMEN-LUMEN-LUMEN-LUMEN-LUMEN
correctif.format.acronym-v1conf 100% · 628ms · $0.001 · 446 tok
question
Take the first letter of each of these words, in order: basalt, drift, comet, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BDCD
correctif.format.repeat-v1conf 100% · 992ms · $0.001 · 836 tok
question
Write the word "flint" in lowercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: flint_flint_flint_flint_flint_flint
correctif.constraints.stack-v1conf 100% · 639ms · $0.004 · 3143 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "falcon" and the last word must be "zephyr".
3. Use the word "lumen" 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: falcon drifts above glowing avenues, each lumen lamp trembling, while amber lumen reflections paint rooftops, still shadows glide, night hums, lumen zephyr
correctif.format.acronym-v1conf 100% · 1.4s · $0.000 · 340 tok
question
Take the first letter of each of these words, in order: flint, prism, ember, zephyr, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FPEZF
correctif.format.repeat-v1conf 100% · 1.8s · $0.000 · 298 tok
question
Write the word "cedar" in uppercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CEDAR/CEDAR/CEDAR/CEDAR
correctif.constraints.stack-v1conf 100% · 1.4s · $0.002 · 1773 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "cedar" and the last word must be "zephyr".
3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cedar winter morning frost silence snow drifts falcon falcon falcon breath mist shimmer light crisp gentle zephyr
correctif.format.acronym-v1conf 100% · 637ms · $0.001 · 1096 tok
question
Take the third letter of each of these words, in order: quartz, nova, zephyr, tundra, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: AVPNM
correctif.format.repeat-v1conf 100% · 686ms · $0.000 · 376 tok
question
Write the word "flint" in lowercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: flint-flint-flint
correctif.constraints.stack-v1conf 100% · 1.0s · $0.005 · 4528 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "delta" and the last word must be "zephyr".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: delta tides whisper across endless blue ocean, where salt foam dances under nova sunrise, nova shells glitter like tiny stars, nova currents carry zephyr
correctif.format.acronym-v1conf 100% · 596ms · $0.001 · 730 tok
question
Take the second letter of each of these words, in order: delta, zephyr, tundra, drift, nova, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EEUROE
correctif.format.repeat-v1conf 100% · 723ms · $0.000 · 263 tok
question
Write the word "nova" 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: NOVA-NOVA-NOVA-NOVA-NOVA
correctif.constraints.stack-v1conf 100% · 657ms · $0.004 · 2874 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "falcon" and the last word must be "cedar".
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: falcon comet glides over silver sea, singing comet lullabies to restless comet tides, softly echoing gentle cedar
correctif.format.acronym-v1conf 100% · 717ms · $0.001 · 405 tok
question
Take the first letter of each of these words, in order: flint, drift, delta, prism, nova, 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: FDDPNE
correctif.format.repeat-v1conf 100% · 1.2s · $0.001 · 481 tok
question
Write the word "flint" in uppercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FLINT/FLINT/FLINT/FLINT/FLINT
correctif.constraints.stack-v1conf 100% · 820ms · $0.003 · 2857 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "comet" 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: comet surged across endless deserts, tracing nova paths toward distant horizons; nova until falcon
correctif.format.repeat-v1conf 100% · 1.4s · $0.002 · 1367 tok
question
Write the word "tundra" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: TUNDRA/TUNDRA/TUNDRA
correctif.format.acronym-v1conf 100% · 1.1s · $0.000 · 263 tok
question
Take the first letter of each of these words, in order: cedar, delta, comet, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CDCO
correctif.format.acronym-v1conf 100% · 810ms · $0.001 · 714 tok
question
Take the third letter of each of these words, in order: orbit, basalt, falcon, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BSLA
correctif.format.repeat-v1conf 100% · 862ms · $0.001 · 1059 tok
question
Write the word "prism" in lowercase form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism/prism/prism/prism/prism/prism/prism/prism/prism
correctif.constraints.stack-v1anchorconf 100% · 1.8s · $0.004 · 3100 tok
model answer: drift through soft lumen avenues where lumen lights pulse, each lumen glinting, shadows sway, bells ring, night hums, city breathes, stars drift beyond orbit
correctif.constraints.stack-v1conf 100% · 830ms · $0.002 · 1824 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "basalt" and the last word must be "tundra".
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: basalt cliffs overlook restless sea, where nova currents clash, nova tides echo, endless horizon meets silent arctic shore tundra
correctif.format.acronym-v1conf 100% · 1.2s · $0.001 · 543 tok
question
Take the third letter of each of these words, in order: flint, lumen, comet, prism, quartz, 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: IMMIAH
correctif.format.repeat-v1anchorconf 100% · 1.5s · $0.001 · 727 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 847ms · $0.000 · 316 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 760ms · $0.000 · 249 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.001 · 1059 tok
question
Name the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 725ms · $0.001 · 647 tok
question
Identify the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.001 · 558 tok
question
What is the Kazakh capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 714ms · $0.001 · 473 tok
question
What is the chemical element with symbol Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.002 · 1626 tok
question
What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 270 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: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 672ms · $0.002 · 1294 tok
question
Name the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 750ms · $0.000 · 322 tok
question
What is the element whose symbol is Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 910ms · $0.001 · 839 tok
question
What is the writer of the novel "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 920ms · $0.001 · 743 tok
question
What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tin
correctknowledge.fr.factbank-v2conf 100% · 771ms · $0.001 · 930 tok
question
Name the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 837ms · $0.001 · 541 tok
question
Identify the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 887ms · $0.001 · 780 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 Márquez
correctknowledge.fr.factbank-v2conf 100% · 716ms · $0.001 · 733 tok
question
What is the Brazilian 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: Brasília
correctknowledge.fr.factbank-v2conf 100% · 910ms · $0.001 · 501 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: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 753ms · $0.001 · 925 tok
question
Identify the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 792ms · $0.001 · 557 tok
question
Identify the capital of Kazakhstan.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 681ms · $0.001 · 1179 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: Lead
correctknowledge.fr.factbank-v2conf 100% · 3.7s · $0.001 · 703 tok
question
Identify the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 1.6s · $0.001 · 1166 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: Lead
correctknowledge.fr.factbank-v2conf 100% · 811ms · $0.002 · 1246 tok
question
Name the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 867ms · $0.001 · 1078 tok
question
Name the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 895ms · $0.001 · 687 tok
question
What is the writer of the novel "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 839ms · $0.000 · 327 tok
question
What is the author of "Snow Country"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 100% · 828ms · $0.001 · 581 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: Abuja
correctknowledge.fr.factbank-v2anchorconf 100% · 1.2s · $0.001 · 937 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 732ms · $0.001 · 963 tok
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 923ms · $0.000 · 216 tok
question
Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2anchorconf 100% · 2.1s · $0.001 · 391 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 802ms · $0.001 · 467 tok
model answer: Antimony
math 29/30 correct
correctmath.counterfactual.base-v1conf 100% · 1.6s · $0.002 · 1834 tok
question
Work strictly in base 9. Multiply the base-9 numbers 54 and 20. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1180
correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.001 · 419 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 73 × 44.
Step 2: Q = P × 5 − 402.
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: 3134
correctmath.percent.chain-v2conf 100% · 646ms · $0.002 · 1499 tok
question
An inventory starts at 98000 units. The delivery van has a 133-liter fuel tank. In the first month the inventory grows by 38%. Each pallet weighs about 93 grams more when wet. The next month it shrinks by 35%, and the month after it grows by 24%. 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: 109003.44
correctmath.algebra.system-v2conf 100% · 862ms · $0.001 · 606 tok
question
Solve the system, then answer the derived question.

8x + 9y = -201
2x − 9y = -129

What is the value of 5x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -186
correctmath.arith.chain-v2conf 100% · 740ms · $0.001 · 706 tok
question
Compute the value of the following expression.

(((33 × 72 − 850) × 6 + 5613) − 21 × 97) × 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: 76392
correctmath.chained.pipeline-v1conf 100% · 3.3s · $0.001 · 568 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 45 × 85.
Step 2: Q = P × 3 − 544.
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: 2187
correctmath.counterfactual.base-v1conf 100% · 745ms · $0.002 · 1549 tok
question
Work strictly in base 13. Add the base-13 numbers 1313 and 1379. 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: 268C
correctmath.percent.chain-v2conf 100% · 1.8s · $0.002 · 1853 tok
question
An inventory starts at 62000 units. Each pallet weighs about 48 grams more when wet. In the first month the inventory grows by 42%. A rival firm shipped 154 unrelated parcels the same week. The next month it shrinks by 16%, and the month after it grows by 35%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 99837.36
correctmath.arith.chain-v2conf 100% · 825ms · $0.001 · 894 tok
question
Calculate the following. Show your reasoning, then answer.

(((50 × 56 − 594) × 3 + 9847) − 26 × 16) × 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: 96294
correctmath.algebra.system-v2conf 100% · 808ms · $0.001 · 703 tok
question
Solve the system, then answer the derived question.

7x + 7y = -98
6x − 5y = -370

What is the value of 2x − 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: -236
correctmath.chained.pipeline-v1conf 100% · 800ms · $0.001 · 909 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 82 × 57.
Step 2: Q = P × 4 − 451.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2285
correctmath.counterfactual.base-v1conf 100% · 1.6s · $0.002 · 1803 tok
question
Work strictly in base 11. Add the base-11 numbers 953 and 2058. 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: 2A00
correctmath.arith.chain-v2conf 100% · 843ms · $0.002 · 1595 tok
question
Calculate the following. Show your reasoning, then answer.

(((58 × 86 − 523) × 3 + 5234) − 22 × 93) × 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: 99498
correctmath.percent.chain-v2conf 100% · 827ms · $0.001 · 909 tok
question
An inventory starts at 81000 units. Each pallet weighs about 91 grams more when wet. In the first month the inventory grows by 33%. The company was founded 58 kilometers from the port. The next month it shrinks by 10%, and the month after it grows by 11%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 107622.27
correctmath.algebra.system-v2conf 100% · 1.2s · $0.001 · 755 tok
question
Solve the system, then answer the derived question.

6x + 9y = 429
8x − 3y = 17

What is the value of 2x − 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: -190
correctmath.counterfactual.base-v1conf 100% · 783ms · $0.002 · 1298 tok
question
Work strictly in base 9. Add the base-9 numbers 2481 and 3312. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 5803
correctmath.chained.pipeline-v1conf 100% · 629ms · $0.001 · 408 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 88 × 39.
Step 2: Q = P × 9 − 878.
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: 10004
correctmath.percent.chain-v2conf 100% · 624ms · $0.002 · 1446 tok
question
An inventory starts at 43000 units. The delivery van has a 45-liter fuel tank. In the first month the inventory grows by 27%. The warehouse was painted 62 years ago. The next month it shrinks by 44%, and the month after it grows by 7%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 32722.31
correctmath.algebra.system-v2conf 100% · 765ms · $0.000 · 312 tok
question
Solve the system, then answer the derived question.

3x + 4y = -100
7x − 2y = 152

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: 206
correctmath.arith.chain-v2conf 100% · 729ms · $0.001 · 645 tok
question
Evaluate the expression below and give the result.

(((73 × 77 − 874) × 7 + 7701) − 34 × 34) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 159096
correctmath.counterfactual.base-v1conf 100% · 677ms · $0.001 · 1215 tok
question
Work strictly in base 9. Add the base-9 numbers 703 and 1488. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2302
correctmath.chained.pipeline-v1conf 100% · 752ms · $0.001 · 556 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 75 × 47.
Step 2: Q = P × 3 − 965.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2404
correctmath.percent.chain-v2conf 100% · 1.2s · $0.002 · 1349 tok
question
An inventory starts at 18000 units. Each pallet weighs about 59 grams more when wet. In the first month the inventory grows by 29%. Each pallet weighs about 93 grams more when wet. The next month it shrinks by 25%, and the month after it grows by 29%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 22465.35
correctmath.arith.chain-v2conf 100% · 778ms · $0.002 · 1425 tok
question
Work out the exact value of this expression.

(((94 × 62 − 511) × 6 + 2501) − 19 × 69) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 99276
correctmath.algebra.system-v2conf 100% · 1.4s · $0.001 · 829 tok
question
Solve the system, then answer the derived question.

8x + 8y = 136
5x − 8y = -435

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: -195
correctmath.chained.pipeline-v1conf 100% · 1.7s · $0.001 · 781 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 42 × 75.
Step 2: Q = P × 6 − 742.
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: 2594
wrongmath.percent.chain-v2anchorconf 85% · 701ms · $0.003 · 2098 tok
model answer: 61638.86
correctmath.counterfactual.base-v1anchorconf 100% · 741ms · $0.002 · 1351 tok
model answer: 11236
correctmath.arith.chain-v2anchorconf 100% · 1.6s · $0.002 · 1455 tok
model answer: 108153
correctmath.algebra.system-v2anchorconf 100% · 1.6s · $0.001 · 436 tok
model answer: 87
multilingual 30/30 correct
correctmultilingual.numword-v2conf 100% · 760ms · $0.002 · 1710 tok
question
Compute 441 + 440, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos ochenta y uno
correctmultilingual.wordnum-v1conf 100% · 685ms · $0.001 · 579 tok
question
A number is written in French: « sept cent quarante-six ». Another is written in Spanish: « novecientos setenta y seis ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -230
correctmultilingual.wordnum-v1conf 100% · 893ms · $0.002 · 1362 tok
question
A number is written in French: « quatre cent trente-trois ». Another is written in Spanish: « ochocientos cincuenta ». 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: -417
correctmultilingual.numword-v2conf 100% · 656ms · $0.002 · 1475 tok
question
Compute 400 + 165, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent soixante-cinq
correctmultilingual.numword-v2conf 100% · 850ms · $0.001 · 488 tok
question
Compute 368 + 152, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos veinte
correctmultilingual.wordnum-v1conf 100% · 758ms · $0.001 · 853 tok
question
A number is written in French: « huit cent cinquante ». Another is written in Spanish: « doscientos noventa y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 552
correctmultilingual.numword-v2conf 100% · 984ms · $0.001 · 911 tok
question
Compute 123 + 190, 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 treize
correctmultilingual.wordnum-v1conf 100% · 677ms · $0.000 · 360 tok
question
A number is written in French: « deux cent quarante-quatre ». Another is written in Spanish: « ochocientos veintiséis ». 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: 1070
correctmultilingual.wordnum-v1conf 100% · 741ms · $0.002 · 1534 tok
question
A number is written in French: « deux cent neuf ». Another is written in Spanish: « doscientos setenta y uno ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -62
correctmultilingual.numword-v2conf 100% · 973ms · $0.001 · 1077 tok
question
Compute 416 + 48, 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 sesenta y cuatro
correctmultilingual.numword-v2conf 100% · 890ms · $0.002 · 1626 tok
question
Compute 407 + 408, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos quince
correctmultilingual.wordnum-v1conf 100% · 602ms · $0.001 · 481 tok
question
A number is written in French: « cinq cent soixante-trois ». Another is written in Spanish: « novecientos 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: 1525
correctmultilingual.wordnum-v1conf 100% · 760ms · $0.001 · 973 tok
question
A number is written in French: « cinq cent soixante-six ». Another is written in Spanish: « ochocientos ochenta ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -314
correctmultilingual.numword-v2conf 100% · 1.0s · $0.001 · 786 tok
question
Compute 420 + 363, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: sept cent quatre-vingt-trois
correctmultilingual.wordnum-v1conf 100% · 1.6s · $0.001 · 447 tok
question
A number is written in French: « sept cent vingt-trois ». Another is written in Spanish: « ciento veintiocho ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 851
correctmultilingual.numword-v2conf 100% · 805ms · $0.001 · 505 tok
question
Compute 66 + 167, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: doscientos treinta y tres
correctmultilingual.numword-v2conf 100% · 731ms · $0.002 · 1922 tok
question
Compute 316 + 168, 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 cuatro
correctmultilingual.wordnum-v1conf 100% · 761ms · $0.001 · 834 tok
question
A number is written in French: « six cent quarante-cinq ». Another is written in Spanish: « cuatrocientos setenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1118
correctmultilingual.wordnum-v1conf 100% · 1.5s · $0.001 · 1161 tok
question
A number is written in French: « sept cent soixante et onze ». Another is written in Spanish: « ciento sesenta 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: 935
correctmultilingual.numword-v2conf 100% · 1.1s · $0.001 · 901 tok
question
Compute 399 + 442, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: huit cent quarante et un
correctmultilingual.wordnum-v1conf 100% · 731ms · $0.001 · 984 tok
question
A number is written in French: « sept cent quarante-trois ». Another is written in Spanish: « setecientos 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: -35
correctmultilingual.wordnum-v1conf 99% · 879ms · $0.001 · 970 tok
question
A number is written in French: « six cent soixante-trois ». Another is written in Spanish: « setecientos setenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -116
correctmultilingual.numword-v2conf 100% · 934ms · $0.001 · 852 tok
question
Compute 52 + 73, 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 veinticinco
correctmultilingual.numword-v2conf 100% · 860ms · $0.001 · 508 tok
question
Compute 457 + 336, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: setecientos noventa y tres
correctmultilingual.numword-v2conf 100% · 976ms · $0.001 · 1167 tok
question
Compute 327 + 98, 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 veinticinco
correctmultilingual.wordnum-v1conf 100% · 957ms · $0.001 · 494 tok
question
A number is written in French: « cinq cent quarante-six ». Another is written in Spanish: « doscientos setenta y cinco ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 271
correctmultilingual.numword-v2anchorconf 100% · 780ms · $0.003 · 2373 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 984ms · $0.001 · 810 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 100% · 1.3s · $0.001 · 698 tok
model answer: seiscientos ocho
correctmultilingual.wordnum-v1anchorconf 100% · 836ms · $0.000 · 280 tok
model answer: 762
reasoning 29/30 correct
correctreasoning.deduction.order-v2conf 100% · 782ms · $0.003 · 2209 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Dara. Farah is faster than Ines. Goran is older than everyone here, but Goran is not being ranked. Alice is faster than Farah. Alice is faster than Emil. Emil is faster than Farah. Chen is faster than Farah. Emil is faster than Ines. Dara is faster than Alice. Rosa is faster than Chen. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.position-v1conf 100% · 787ms · $0.001 · 957 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 3 in the queue. Nadir is directly ahead of Goran. Goran is directly ahead of Tessa. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Goran
correctreasoning.deduction.position-v1conf 100% · 954ms · $0.002 · 1791 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Ines. Ines is number 3 in the queue. Priya is directly ahead of Hana. 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: Ines
correctreasoning.deduction.order-v2conf 100% · 1.1s · $0.002 · 1650 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is taller than everyone here, but Farah is not being ranked. Emil is heavier than Goran. Rosa is heavier than Quinn. Ola is heavier than Priya. Goran is heavier than Priya. Priya is heavier than Bruno. Goran is heavier than Ola. Bruno is heavier than Rosa. Emil is heavier than Rosa. Ola is heavier than Rosa. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 1.7s · $0.001 · 1011 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 3 in the queue. Tessa is directly ahead of Dara. Mona is directly ahead of Tessa. 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: Dara
correctreasoning.deduction.position-v1conf 100% · 1.3s · $0.001 · 661 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Nadir. Nadir is number 3 in the queue. Hana is directly ahead of Sami. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 100% · 692ms · $0.002 · 1417 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ines is older than everyone here, but Ines is not being ranked. Tessa is taller than Mona. Tessa is taller than Jonas. Mona is taller than Liam. Goran is taller than Tessa. Goran is taller than Jonas. Priya is taller than Goran. Tessa is taller than Liam. Jonas is taller than Mona. Kira is taller than Priya. 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: Goran
correctreasoning.deduction.order-v2conf 100% · 814ms · $0.002 · 1619 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Dara. Nadir is heavier than Dara. Bruno is heavier than Sami. Kira is heavier than Bruno. Sami is heavier than Nadir. Ines is heavier than Farah. Kira is heavier than Dara. Sami is heavier than Dara. Mona is taller than everyone here, but Mona is not being ranked. Nadir is heavier than Ines. 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: Farah
wrongreasoning.deduction.position-v1conf 80% · 733ms · $0.008 · 6737 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 3 in the queue. Alice is directly ahead of Ines. Ines is directly ahead of Liam. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: unknown
correctreasoning.deduction.position-v1conf 100% · 1.3s · $0.001 · 1178 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 1 in the queue. Mona is directly ahead of Hana. Hana is directly ahead of Farah. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 100% · 1.2s · $0.002 · 1995 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Mona. Emil is faster than Alice. Hana is faster than Emil. Ines is faster than Tessa. Mona is faster than Tessa. Ines is faster than Liam. Tessa is faster than Hana. Ines is faster than Hana. Hana is faster than Alice. Ola is heavier than everyone here, but Ola is not being ranked. 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: Hana
correctreasoning.deduction.order-v2conf 100% · 642ms · $0.003 · 2298 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Tessa. Jonas is older than Priya. Rosa is older than Jonas. Ola is faster than everyone here, but Ola is not being ranked. Farah is older than Dara. Rosa is older than Priya. Mona is older than Rosa. Rosa is older than Priya. Priya is older than Farah. Rosa is older than Farah. 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: Jonas
correctreasoning.deduction.position-v1conf 100% · 1.1s · $0.001 · 516 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Emil. Emil is number 4 in the queue. Nadir is directly ahead of Ola. Ola is directly ahead of Sami. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.order-v2conf 100% · 1.1s · $0.002 · 1732 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is heavier than Ola. Kira is heavier than Tessa. Tessa is heavier than Nadir. Ines is heavier than Farah. Farah is heavier than Chen. Chen is heavier than Ola. Kira is heavier than Ola. Tessa is heavier than Ines. Emil is faster than everyone here, but Emil is not being ranked. Chen is heavier than Nadir. 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: Nadir
correctreasoning.deduction.order-v2conf 100% · 692ms · $0.002 · 1991 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is older than Kira. Jonas is older than Chen. Tessa is older than Jonas. Liam is older than Nadir. Nadir is older than Kira. Priya is older than Kira. Dara is faster than everyone here, but Dara is not being ranked. Tessa is older than Kira. Chen is older than Priya. Nadir is older than Tessa. 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: Chen
correctreasoning.deduction.position-v1conf 100% · 761ms · $0.001 · 431 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Quinn. Tessa is directly ahead of Chen. Rosa is directly ahead of Tessa. Quinn is number 4 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 1.5s · $0.001 · 1011 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Priya. Sami is taller than Liam. Liam is taller than Goran. Chen is taller than Sami. Tessa is heavier than everyone here, but Tessa is not being ranked. Kira is taller than Chen. Farah is taller than Goran. Chen is taller than Goran. Sami is taller than Farah. Priya is taller than Liam. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.position-v1conf 100% · 1.4s · $0.001 · 464 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Goran. Jonas is number 2 in the queue. Bruno is directly ahead of Jonas. 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: Bruno
correctreasoning.deduction.order-v2conf 100% · 789ms · $0.002 · 1575 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Emil. Rosa is faster than Chen. Chen is faster than Goran. Ola is faster than Rosa. Rosa is faster than Dara. Sami is heavier than everyone here, but Sami is not being ranked. Jonas is faster than Goran. Chen is faster than Jonas. Rosa is faster than Chen. Emil is faster than Chen. 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: Chen
correctreasoning.deduction.position-v1conf 100% · 921ms · $0.001 · 1042 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 1 in the queue. Ines is directly ahead of Quinn. Quinn is directly ahead of Dara. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.position-v1conf 100% · 743ms · $0.002 · 1331 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 2 in the queue. Alice is directly ahead of Farah. Ola is directly ahead of Goran. 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: Alice
correctreasoning.deduction.order-v2conf 100% · 935ms · $0.005 · 3906 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Farah. Priya is faster than Liam. Dara is faster than Priya. Farah is faster than Rosa. Farah is faster than Chen. Chen is faster than Rosa. Tessa is older than everyone here, but Tessa is not being ranked. Quinn is faster than Liam. Priya is faster than Quinn. Rosa is faster than Priya. 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: Quinn
correctreasoning.deduction.order-v2conf 100% · 632ms · $0.003 · 2593 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Rosa. Rosa is older than Kira. Rosa is older than Nadir. Rosa is older than Farah. Goran is heavier than everyone here, but Goran is not being ranked. Priya is older than Nadir. Farah is older than Priya. Tessa is older than Dara. Nadir is older than Kira. Dara is older than Farah. 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: Nadir
correctreasoning.deduction.position-v1conf 100% · 688ms · $0.001 · 1135 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Goran. Bruno is directly ahead of Dara. Dara is number 4 in the queue. Goran is directly ahead of Bruno. 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: Emil
correctreasoning.deduction.position-v1conf 100% · 821ms · $0.002 · 1949 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Chen. Chen is directly ahead of Emil. Farah is number 4 in the queue. Emil is directly ahead of Farah. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.order-v2conf 100% · 1.3s · $0.002 · 1482 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Mona is heavier than Bruno. Priya is heavier than Liam. Priya is heavier than Liam. Alice is heavier than Priya. Bruno is heavier than Liam. Priya is heavier than Mona. Alice is heavier than Liam. Sami is taller than everyone here, but Sami is not being ranked. Jonas is heavier than Alice. Tessa is heavier than Jonas. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.position-v1anchorconf 100% · 759ms · $0.001 · 1104 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 100% · 1.1s · $0.003 · 2225 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 100% · 707ms · $0.003 · 2348 tok
model answer: Mona
correctreasoning.deduction.position-v1anchorconf 100% · 834ms · $0.002 · 1634 tok
model answer: Farah
terminal 18/30 correct
wrongterminal.fs.tree-v1conf 100% · 961ms · $0.005 · 3911 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/conf`, `/proj/logs`):

```
/proj/conf/index.log
/proj/draft.log
/proj/logs/report.log
/proj/logs/todo.md
/proj/notes.log
```

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

```sh
mv conf/index.log ./
rm notes.log
cp logs/todo.md build/
cp index.log build/
cd build
mv todo.md ./
cd ../../proj/logs
mv ../../proj/build/index.log ../../proj/conf/
mkdir -p logs-9
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf 100% · 788ms · $0.003 · 2143 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
true && echo A || echo B
test -f tmp.txt && echo C || echo D
false && echo E || echo F
test -f data.txt && echo G || echo H
test -f data.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.pipeline.predict-v1conf 100% · 806ms · $0.002 · 1500 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,eng,77,37
kim,legal,51,10
fay,sales,52,67
dev,sales,57,39
oli,sales,39,59
jon,sales,10,37
bo,sales,45,67
eli,eng,79,76
cy,eng,18,81
hal,legal,50,41
ana,legal,79,94
```

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: 203
correctterminal.fs.tree-v1conf 100% · 988ms · $0.007 · 5940 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/assets`):

```
/proj/assets/report.cfg
/proj/docs/notes.txt
/proj/setup.md
/proj/src/index.cfg
/proj/util.cfg
```

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

```sh
cp src/index.cfg docs/
mv setup.md assets/
cd .
mkdir -p docs/conf-3
touch assets/report-4.cfg
cd docs/conf-3
mv ../../../proj/util.cfg ../../../proj/draft-3.md
cd ../../../proj/docs
touch main-8.md
cp notes.txt ../../proj/
rm notes.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report-4.cfg /proj/assets/report.cfg /proj/assets/setup.md /proj/docs/index.cfg /proj/docs/main-8.md /proj/draft-3.md /proj/notes.txt /proj/src/index.cfg
correctterminal.exit.chain-v1conf 100% · 707ms · $0.002 · 1519 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 amber notes.txt && echo C || echo D
test -f ghost.txt && echo E || echo F
test -f app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F Z exit:0
correctterminal.fs.tree-v1conf 100% · 798ms · $0.007 · 5973 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/conf`):

```
/proj/assets/report.txt
/proj/assets/util.md
/proj/conf/todo.md
/proj/main.cfg
/proj/notes.cfg
```

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

```sh
mv main.cfg notes-3.txt
mkdir -p docs/conf-9
cp notes.cfg assets/
touch docs/conf-9/index-9.log
mkdir -p assets/docs-3
cp assets/notes.cfg conf/
cd assets/docs-3
mv ../../../proj/notes.cfg ../../../proj/conf/
```

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/assets/report.txt /proj/assets/util.md /proj/conf/notes.cfg /proj/conf/todo.md /proj/docs/conf-9/index-9.log /proj/notes-3.txt
wrongterminal.pipeline.predict-v1conf 100% · 1.4s · $0.001 · 796 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
fay,hr,40,76
max,ops,80,64
lou,hr,12,39
hal,ops,97,11
cy,sales,86,73
ned,legal,85,92
oli,eng,58,83
jon,ops,52,26
ana,hr,27,29
eli,ops,4,58
kim,eng,96,75
ivy,ops,8,16
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf 100% · 675ms · $0.002 · 1502 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.pipeline.predict-v1conf 100% · 1.4s · $0.001 · 638 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,ops,7,24
max,legal,42,70
ned,legal,64,28
cy,legal,67,90
bo,eng,63,70
pam,eng,3,72
jon,hr,115,41
fay,sales,41,64
gus,legal,26,81
```

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: 199
correctterminal.fs.tree-v1conf 100% · 875ms · $0.005 · 3753 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/build`):

```
/proj/assets/main.md
/proj/assets/util.md
/proj/conf/report.log
/proj/draft.md
/proj/index.cfg
```

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

```sh
rm index.cfg
mkdir -p build-9
mv assets/main.md build/
cd build
mv ../../proj/conf/report.log ./
cp ../../proj/assets/util.md ../../proj/
mkdir -p ../../proj/conf/src-2
rm 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/assets/util.md /proj/build/report.log /proj/draft.md /proj/util.md
wrongterminal.exit.chain-v1conf 100% · 1.4s · $0.003 · 2515 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q dune notes.txt && echo A || echo B
false && echo C || echo D
grep -q coral notes.txt && echo E || echo F
grep -q dune notes.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 916ms · $0.002 · 1316 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,eng,65,81
dev,ops,19,76
ned,ops,5,53
cy,hr,63,96
eli,hr,31,82
pam,sales,47,63
bo,ops,109,43
ana,eng,38,80
fay,eng,29,25
max,sales,27,54
hal,ops,19,22
oli,sales,109,50
jon,eng,34,47
lou,legal,92,67
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 77 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 100% · 915ms · $0.005 · 3802 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/logs`):

```
/proj/conf/setup.log
/proj/logs/draft.md
/proj/logs/report.txt
/proj/notes.md
/proj/todo.log
```

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

```sh
rm conf/setup.log
cd .
cp todo.log conf/
cd conf
rm ../../proj/todo.log
touch ../../proj/todo-7.cfg
rm ../../proj/logs/report.txt
cd .
cp ../../proj/notes.md ../../proj/docs/
mv ../../proj/todo-7.cfg ./
cp todo.log ../../proj/logs/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/todo-7.cfg /proj/conf/todo.log /proj/docs/notes.md /proj/logs/draft.md /proj/logs/todo.log /proj/notes.md
wrongterminal.exit.chain-v1conf 100% · 708ms · $0.002 · 1658 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 dune notes.txt && echo C || echo D
grep -q coral notes.txt && echo E || echo F
false && echo G || echo H
test -f app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 682ms · $0.001 · 885 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,ops,33,31
lou,ops,13,54
kim,hr,108,76
ivy,legal,115,66
dev,ops,86,79
ana,ops,56,84
pam,eng,76,10
max,sales,68,96
eli,hr,56,36
fay,ops,114,37
hal,legal,101,52
cy,hr,42,63
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' 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: (none extracted)
correctterminal.fs.tree-v1conf 100% · 814ms · $0.004 · 3388 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/logs`):

```
/proj/assets/setup.cfg
/proj/assets/util.log
/proj/build/main.cfg
/proj/notes.cfg
/proj/report.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 build/notes-1.md
touch logs/util-3.cfg
mkdir -p assets-4
cd .
cd assets
cp ../../proj/logs/util-3.cfg ../../proj/
touch ../../proj/draft-3.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/setup.cfg /proj/assets/util.log /proj/build/main.cfg /proj/build/notes-1.md /proj/draft-3.txt /proj/logs/util-3.cfg /proj/notes.cfg /proj/report.md /proj/util-3.cfg
wrongterminal.exit.chain-v1conf 100% · 662ms · $0.003 · 2381 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.pipeline.predict-v1conf 100% · 1.4s · $0.001 · 834 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,ops,68,54
ana,sales,117,18
dev,sales,115,42
gus,ops,42,75
jon,sales,44,70
cy,eng,113,43
bo,legal,27,39
lou,ops,108,72
ivy,sales,80,64
ned,ops,71,60
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: bo,legal,27,39
wrongterminal.fs.tree-v1conf 100% · 711ms · $0.004 · 3605 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/docs`):

```
/proj/conf/draft.cfg
/proj/docs/notes.md
/proj/docs/util.cfg
/proj/index.txt
/proj/main.txt
```

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

```sh
rm docs/util.cfg
cd assets
touch main-3.cfg
cd ../../proj/docs
rm ../../proj/assets/main-3.cfg
rm ../../proj/main.txt
mv notes.md ./
mkdir -p ../../proj/conf/conf-6
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 100% · 874ms · $0.003 · 2054 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F exit:1
correctterminal.fs.tree-v1conf 100% · 1.0s · $0.005 · 4214 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/docs`):

```
/proj/assets/notes.cfg
/proj/assets/todo.txt
/proj/conf/setup.txt
/proj/index.log
/proj/main.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 docs/docs-5
mkdir -p logs-1
cd docs
mv ../../proj/conf/setup.txt ../../proj/conf/util-3.cfg
cd ../../proj/conf
mv ../../proj/index.log ../../proj/draft-2.md
cp ../../proj/assets/notes.cfg ../../proj/docs/
cp ../../proj/assets/todo.txt ../../proj/logs-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/notes.cfg /proj/assets/todo.txt /proj/conf/util-3.cfg /proj/docs/notes.cfg /proj/draft-2.md /proj/logs-1/todo.txt /proj/main.md
correctterminal.pipeline.predict-v1conf 100% · 1.3s · $0.002 · 1274 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,sales,103,87
ned,sales,26,99
kim,sales,70,95
bo,hr,110,41
fay,hr,87,98
ana,ops,15,84
cy,eng,118,36
jon,sales,53,74
dev,legal,113,81
pam,eng,95,23
lou,sales,3,88
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' 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: bo,110 fay,87
correctterminal.exit.chain-v1conf 100% · 1.7s · $0.003 · 2223 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
test -f data.txt && echo A || echo B
test -f data.txt && echo C || echo D
grep -q dune notes.txt && echo E || echo F
grep -q dune notes.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F H exit:1
correctterminal.pipeline.predict-v1conf 100% · 960ms · $0.003 · 2211 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,sales,82,37
lou,eng,39,64
oli,hr,104,23
pam,hr,63,28
gus,hr,98,88
ana,hr,53,51
max,eng,8,32
ivy,eng,99,14
fay,eng,86,14
hal,legal,83,59
kim,hr,20,33
jon,ops,120,63
dev,eng,79,83
ned,hr,33,66
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' 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,53 gus,98
correctterminal.fs.tree-v1conf 100% · 822ms · $0.004 · 2871 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/docs/draft.txt
/proj/docs/index.md
/proj/logs/main.cfg
/proj/todo.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 docs/assets-7
touch report-3.md
mv docs/index.md docs/index-6.md
cd conf
rm ../../proj/docs/draft.txt
cd ../../proj/logs
mv ../../proj/docs/index-6.md ../../proj/conf/
cd .
mv main.cfg ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/index-6.md /proj/main.cfg /proj/report-3.md /proj/todo.log /proj/util.txt
correctterminal.exit.chain-v1conf 100% · 1.0s · $0.003 · 2404 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E G exit:1
correctterminal.fs.tree-v1anchorconf 100% · 738ms · $0.005 · 4124 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
correctterminal.pipeline.predict-v1anchorconf 100% · 720ms · $0.001 · 857 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
wrongterminal.exit.chain-v1anchorconf 100% · 1.1s · $0.002 · 1507 tok
model answer: (none extracted)
wrongterminal.pipeline.predict-v1anchorconf 100% · 925ms · $0.001 · 748 tok
model answer: (none extracted)

Run history

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