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openai/gpt-5.6-sol · openai · context 1 050 000 · in $5.00/1M · out $30.00/1M

Global Index

805

95% CI [758851] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic901 [813990]
0.8480.951.000.000429ms$12.20
code875 [754996]
0.7921.001.000.000368ms$6.05
instruction following841 [711971]
0.7800.821.000.000343ms$4.00
knowledge725 [554897]
0.5421.001.000.000383ms$0.807
math831 [674989]
0.7230.981.000.000394ms$4.48
multilingual762 [601924]
0.6620.980.970.038416ms$1.85
reasoning795 [649941]
0.7121.000.970.038423ms$2.70
terminal856 [761952]
0.8141.000.970.038405ms$5.43
vision ocr657 [500814]
0.5341.000.940.077490ms$5.33

Every answer, every test

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

agentic 30/30 correct
correctagentic.tools.ledger-v1conf 100% · 488ms · $0.010 · 264 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $822
- bravo: $794
- echo: $678

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $109 from "bravo" to "tango"
2. pay $550 from "echo" to "tango"
3. pay $317 from "echo" to "tango"
4. pay $295 from "echo" to "bravo"
5. pay $287 from "tango" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"transfer","args":{"from":"bravo","to":"tango","amount":109}}, {"tool":"transfer","args":{"from":"echo","to":"tango","amount":550}}, {"tool":"top_up_from_reserve","args":{"account":"echo","amount":189}}, {"tool":"transfer","args":{"from":"echo","to":"tango","amount":317}}, {"tool":"top_up_from_reserve","args":{"account":"echo","amount":295}}, {"tool":"transfer","args":{"from":"echo","to":"bravo","amount":295}}, {"tool":"transfer","args":{"from":"tango","to":"bravo","amount":287}} ]
correctagentic.tools.triage-v1conf 100% · 363ms · $0.010 · 239 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "records missing after import" (category: data, priority 2)
2. "invoice total wrong" (category: payments, priority 7)
3. "invoice total wrong" (category: payments, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 7 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } } ]
correctagentic.tools.context-load-v1conf 100% · 292ms · $0.020 · 284 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 (139 records, format: id|customer|region|item|qty|status):
```
1812|ionic|north|frame|30|pending
1768|acme|north|rotor|93|shipped
1843|ionic|east|pump|12|pending
1682|ionic|west|gasket|82|held
1525|acme|north|frame|75|held
1604|fulton|south|panel|40|pending
1482|harbor|west|valve|11|pending
1964|juno|south|valve|18|paid
1622|fulton|east|rotor|50|paid
1670|ember|south|frame|33|pending
1788|dorian|north|frame|12|held
1599|dorian|east|panel|37|paid
1678|acme|east|cable|88|paid
1945|dorian|north|gasket|82|pending
1477|harbor|west|gasket|81|pending
1934|birch|west|panel|24|paid
1764|ember|east|valve|81|paid
1949|fulton|north|gasket|15|shipped
1881|acme|west|valve|42|held
1646|fulton|east|pump|62|shipped
1862|fulton|west|sensor|24|paid
1893|ember|south|cable|72|held
1703|ionic|north|panel|40|paid
1886|ember|north|rotor|27|shipped
1939|birch|north|panel|28|shipped
1729|fulton|east|sensor|31|pending
1689|acme|south|panel|77|paid
1857|dorian|east|valve|50|shipped
1516|fulton|south|panel|69|held
1688|ember|east|frame|81|held
1760|cobalt|south|sensor|55|paid
1951|birch|north|valve|43|shipped
1902|cobalt|west|frame|53|held
1506|harbor|south|panel|26|shipped
1616|harbor|east|sensor|91|pending
1865|dorian|east|panel|80|pending
1798|fulton|north|gasket|53|shipped
1642|gale|east|valve|67|paid
1712|juno|north|gasket|57|pending
1610|harbor|north|pump|87|paid
1727|gale|south|valve|93|shipped
1732|acme|west|rotor|11|paid
1785|ionic|east|sensor|40|pending
1621|dorian|west|valve|71|shipped
1797|juno|north|rotor|68|shipped
1484|harbor|north|rotor|50|pending
1719|ionic|west|sensor|82|pending
1952|ember|west|panel|29|pending
1810|harbor|west|panel|27|paid
1869|cobalt|east|frame|75|paid
1618|ember|east|valve|98|shipped
1692|ember|south|pump|53|paid
1846|fulton|east|frame|43|pending
1791|fulton|west|panel|94|paid
1773|gale|south|panel|74|pending
1511|gale|north|cable|74|paid
1817|fulton|west|valve|15|pending
1559|fulton|west|gasket|74|held
1556|ember|south|frame|35|held
1959|cobalt|north|valve|81|pending
1564|ember|east|cable|80|pending
1739|harbor|west|valve|71|shipped
1602|ionic|south|valve|62|paid
1831|gale|east|gasket|90|held
1910|fulton|north|cable|30|held
1553|harbor|south|frame|16|pending
1975|acme|north|sensor|91|shipped
1737|fulton|east|panel|54|pending
1486|harbor|west|cable|22|pending
1697|ionic|east|gasket|70|shipped
1552|acme|north|pump|64|held
1594|acme|south|pump|13|pending
1545|acme|north|sensor|67|pending
1835|dorian|south|valve|48|pending
1895|dorian|north|rotor|59|shipped
1874|dorian|west|cable|90|held
1631|ionic|south|gasket|55|held
1809|gale|west|panel|55|shipped
1481|harbor|west|frame|62|held
1733|cobalt|south|panel|20|shipped
1496|harbor|west|rotor|75|shipped
1654|birch|west|valve|25|shipped
1757|dorian|north|gasket|79|shipped
1971|gale|north|frame|63|pending
1976|gale|east|cable|74|paid
1660|birch|south|valve|73|pending
1801|birch|north|panel|41|pending
1754|gale|west|frame|67|paid
1707|ember|south|valve|56|pending
1626|ember|north|panel|65|shipped
1532|ionic|south|pump|19|paid
1582|ionic|south|gasket|58|shipped
1480|harbor|north|panel|55|pending
1880|fulton|east|valve|90|held
1842|gale|north|sensor|78|shipped
1933|acme|east|pump|76|shipped
1746|harbor|south|rotor|28|pending
1763|ionic|west|cable|70|shipped
1765|birch|west|sensor|44|held
1647|harbor|west|gasket|47|pending
1677|cobalt|south|pump|27|held
1795|birch|south|gasket|59|shipped
1569|harbor|east|sensor|78|pending
1870|ember|east|gasket|30|shipped
1638|birch|west|valve|87|shipped
1695|harbor|east|rotor|59|paid
1664|ionic|south|gasket|17|paid
1590|gale|east|pump|48|paid
1800|birch|east|cable|78|shipped
1492|harbor|south|sensor|17|pending
1587|harbor|north|panel|84|paid
1630|gale|east|gasket|69|paid
1778|dorian|south|pump|92|paid
1567|ionic|west|gasket|88|pending
1519|cobalt|north|frame|12|paid
1807|harbor|east|panel|22|shipped
1920|ionic|east|pump|21|pending
1485|harbor|west|pump|82|shipped
1852|birch|west|sensor|85|shipped
1591|juno|east|frame|94|shipped
1652|gale|north|gasket|66|paid
1539|ionic|north|panel|14|shipped
1839|acme|west|frame|15|pending
1824|fulton|north|valve|25|paid
1723|acme|west|frame|83|held
1985|juno|south|cable|63|paid
1927|acme|south|pump|57|paid
1915|birch|south|sensor|46|shipped
1799|acme|east|pump|17|held
1500|juno|north|frame|51|paid
1935|gale|south|cable|80|paid
1834|harbor|west|rotor|13|pending
1980|harbor|north|panel|94|held
1576|ionic|west|frame|57|paid
1534|fulton|west|panel|77|paid
1899|ember|east|rotor|43|held
1861|gale|south|gasket|39|held
1903|harbor|south|cable|86|paid
1752|ember|east|rotor|32|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"restock","args":{"item":"gasket","qty":81}}, {"tool":"cancel_order","args":{"order_id":1482}}, {"tool":"cancel_order","args":{"order_id":1486}}, {"tool":"cancel_order","args":{"order_id":1647}}, {"tool":"cancel_order","args":{"order_id":1834}} ]
correctagentic.tools.deploy-v1conf 100% · 566ms · $0.006 · 149 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: (none)
- reports: gateway
- gateway: auth-svc, notifier
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"notifier"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"health_check","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"gateway"}}, {"tool":"deploy","args":{"service":"reports"}} ]
correctagentic.tools.context-load-v1conf 100% · 617ms · $0.021 · 219 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 (179 records, format: id|customer|region|item|qty|status):
```
1598|acme|south|panel|73|paid
1328|acme|south|valve|87|paid
1291|fulton|east|pump|64|held
1488|gale|west|frame|58|paid
1643|dorian|south|gasket|42|held
1150|acme|east|gasket|43|paid
1639|ionic|west|sensor|21|shipped
1737|fulton|west|rotor|96|paid
1503|gale|south|sensor|84|paid
1723|dorian|east|panel|96|paid
1240|birch|north|rotor|27|shipped
1253|ionic|north|gasket|73|shipped
1163|dorian|south|frame|83|held
1495|harbor|east|pump|34|paid
1461|gale|north|sensor|86|shipped
1383|ionic|east|rotor|51|held
1802|cobalt|north|pump|26|pending
1426|ionic|north|gasket|37|shipped
1256|cobalt|north|pump|30|held
1443|fulton|south|panel|40|pending
1538|acme|south|cable|24|held
1230|harbor|north|frame|23|held
1168|juno|north|panel|61|held
1551|dorian|south|cable|42|shipped
1448|fulton|west|pump|44|held
1679|juno|west|rotor|78|paid
1534|ember|west|valve|37|held
1792|harbor|south|rotor|81|pending
1742|fulton|west|sensor|88|shipped
1249|cobalt|east|valve|96|paid
1145|ember|west|panel|30|paid
1360|acme|east|gasket|71|held
1419|fulton|south|cable|12|held
1828|gale|north|gasket|36|pending
1822|ember|north|sensor|59|paid
1631|dorian|east|pump|60|held
1798|ember|north|frame|58|held
1115|dorian|west|cable|72|held
1367|birch|east|pump|59|paid
1134|gale|east|rotor|71|shipped
1200|gale|south|sensor|81|pending
1521|dorian|west|pump|36|held
1720|gale|south|valve|36|held
1433|juno|south|sensor|75|shipped
1158|harbor|west|valve|81|held
1546|gale|east|sensor|31|paid
1588|cobalt|north|valve|84|paid
1606|birch|south|gasket|81|held
1160|juno|south|frame|83|held
1657|gale|west|panel|19|held
1468|harbor|east|rotor|88|held
1755|birch|east|panel|73|paid
1350|dorian|west|valve|38|pending
1524|harbor|north|frame|11|pending
1264|ember|north|valve|15|pending
1809|cobalt|west|cable|53|held
1701|acme|south|panel|54|held
1390|birch|south|gasket|67|held
1408|ember|south|panel|94|paid
1472|ionic|north|gasket|63|paid
1820|harbor|north|frame|67|held
1670|harbor|north|valve|71|shipped
1373|cobalt|north|pump|77|pending
1193|birch|east|sensor|60|shipped
1286|birch|east|gasket|63|held
1744|fulton|west|pump|39|shipped
1509|gale|east|pump|94|shipped
1126|gale|west|rotor|38|shipped
1293|birch|south|cable|21|pending
1712|acme|west|frame|77|shipped
1762|acme|west|frame|98|paid
1139|gale|north|sensor|12|shipped
1104|dorian|west|gasket|83|paid
1316|ionic|west|cable|81|shipped
1388|cobalt|south|frame|20|paid
1483|cobalt|north|frame|79|held
1455|ember|west|gasket|20|paid
1815|fulton|south|frame|85|shipped
1440|fulton|east|gasket|60|shipped
1099|dorian|east|frame|69|pending
1338|cobalt|east|cable|39|pending
1178|gale|north|gasket|91|pending
1743|gale|north|gasket|60|held
1379|fulton|south|valve|35|paid
1364|cobalt|north|panel|59|paid
1776|juno|west|cable|88|pending
1447|cobalt|north|frame|39|shipped
1751|birch|south|gasket|50|pending
1781|acme|north|gasket|48|held
1625|ionic|west|cable|19|held
1397|gale|south|panel|38|pending
1683|harbor|south|sensor|77|held
1491|harbor|west|sensor|16|paid
1299|dorian|south|pump|90|pending
1693|acme|west|frame|51|shipped
1111|dorian|east|cable|39|pending
1105|dorian|west|frame|59|pending
1371|dorian|north|sensor|45|held
1093|dorian|west|sensor|11|held
1562|birch|east|rotor|82|shipped
1767|cobalt|west|panel|58|pending
1281|gale|west|rotor|58|paid
1172|dorian|north|rotor|48|pending
1786|ionic|east|gasket|53|held
1411|gale|north|frame|72|paid
1351|ember|south|gasket|58|pending
1624|dorian|south|rotor|91|shipped
1502|cobalt|south|sensor|18|held
1650|birch|west|valve|98|pending
1218|birch|east|gasket|51|held
1330|cobalt|west|gasket|65|shipped
1237|fulton|east|panel|10|paid
1303|gale|west|frame|19|shipped
1733|ionic|south|cable|39|paid
1395|ember|north|gasket|93|shipped
1479|acme|north|valve|53|shipped
1554|ionic|east|gasket|20|shipped
1688|fulton|west|pump|23|shipped
1188|dorian|west|rotor|62|held
1375|acme|south|valve|76|held
1665|acme|north|frame|12|held
1664|cobalt|west|rotor|98|shipped
1083|dorian|west|rotor|60|pending
1515|dorian|west|sensor|22|shipped
1726|acme|east|gasket|25|shipped
1180|harbor|south|pump|43|pending
1275|ember|west|frame|57|held
1835|ember|south|sensor|69|held
1086|dorian|north|panel|12|pending
1310|cobalt|north|gasket|39|paid
1707|acme|north|gasket|35|paid
1194|cobalt|north|rotor|63|pending
1210|ember|south|frame|25|pending
1323|birch|north|panel|78|paid
1582|ionic|north|cable|58|pending
1332|juno|east|valve|30|held
1344|fulton|south|panel|14|paid
1580|ionic|north|pump|25|pending
1208|juno|west|pump|61|pending
1638|cobalt|west|cable|74|shipped
1404|acme|north|pump|22|pending
1122|ember|east|rotor|67|held
1154|ember|east|frame|25|held
1618|birch|north|panel|58|pending
1718|acme|east|rotor|36|paid
1276|juno|north|cable|55|held
1724|dorian|south|sensor|30|pending
1251|birch|south|pump|36|shipped
1268|birch|west|valve|51|paid
1095|dorian|west|sensor|49|pending
1698|acme|west|sensor|99|shipped
1257|birch|west|frame|55|pending
1402|cobalt|west|gasket|48|pending
1592|acme|south|valve|69|pending
1185|juno|south|pump|79|held
1600|birch|east|pump|76|pending
1528|dorian|north|gasket|23|shipped
1612|harbor|west|sensor|66|shipped
1132|dorian|east|pump|85|shipped
1770|harbor|west|pump|73|shipped
1412|ember|east|gasket|48|paid
1173|dorian|east|panel|40|paid
1361|ionic|west|panel|11|paid
1331|dorian|east|panel|84|shipped
1569|acme|south|panel|70|paid
1358|juno|south|pump|96|held
1205|dorian|west|sensor|81|held
1505|juno|north|rotor|66|paid
1573|juno|south|valve|89|paid
1817|ember|south|gasket|96|pending
1607|acme|west|cable|57|paid
1677|juno|south|sensor|67|paid
1243|ionic|south|valve|86|held
1542|gale|east|pump|90|paid
1223|gale|east|gasket|57|shipped
1548|fulton|north|gasket|76|shipped
1212|cobalt|south|cable|77|held
1556|harbor|west|gasket|71|held
1783|gale|south|cable|13|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 43, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"restock","args":{"item":"rotor","qty":60}}, {"tool":"restock","args":{"item":"sensor","qty":49}}, {"tool":"restock","args":{"item":"frame","qty":59}}, {"tool":"cancel_order","args":{"order_id":1350}} ]
correctagentic.tools.ledger-v1conf 100% · 384ms · $0.010 · 268 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $150
- kilo: $845
- lima: $416

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $96 from "lima" to "kilo"
2. pay $146 from "lima" to "tango"
3. pay $257 from "lima" to "kilo"
4. pay $322 from "kilo" to "lima"
5. pay $298 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":"lima","to":"kilo","amount":96}}, {"tool":"transfer","args":{"from":"lima","to":"tango","amount":146}}, {"tool":"top_up_from_reserve","args":{"account":"lima","amount":83}}, {"tool":"transfer","args":{"from":"lima","to":"kilo","amount":257}}, {"tool":"transfer","args":{"from":"kilo","to":"lima","amount":322}}, {"tool":"top_up_from_reserve","args":{"account":"tango","amount":2}}, {"tool":"transfer","args":{"from":"tango","to":"kilo","amount":298}} ]
correctagentic.tools.triage-v1conf 100% · 429ms · $0.014 · 386 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "export file corrupted" (category: data, priority 3)
2. "export file corrupted" (category: data, priority 3)
3. "uploads failing intermittently" (category: infra, priority 5)
4. "dashboard shows stale numbers" (category: data, priority 6)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 3 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "uploads failing intermittently", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "tanaka" } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "novak" } } ]
correctagentic.tools.deploy-v1conf 100% · 426ms · $0.006 · 148 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: billing, reports
- billing: reports
- auth-svc: billing
- 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 "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"reports"}}, {"tool":"health_check","args":{"service":"reports"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"gateway"}} ]
correctagentic.tools.ledger-v1conf 100% · 282ms · $0.009 · 241 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: $733
- bravo: $894
- tango: $764

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $452 from "bravo" to "kilo"
2. pay $564 from "tango" to "kilo"
3. pay $447 from "tango" to "kilo"
4. pay $523 from "kilo" to "tango"
5. pay $579 from "kilo" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"transfer","args":{"from":"bravo","to":"kilo","amount":452}}, {"tool":"transfer","args":{"from":"tango","to":"kilo","amount":564}}, {"tool":"top_up_from_reserve","args":{"account":"tango","amount":247}}, {"tool":"transfer","args":{"from":"tango","to":"kilo","amount":447}}, {"tool":"transfer","args":{"from":"kilo","to":"tango","amount":523}}, {"tool":"transfer","args":{"from":"kilo","to":"tango","amount":579}} ]
correctagentic.tools.triage-v1conf 100% · 567ms · $0.013 · 356 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 → haddad
- auth → tanaka
- payments → okafor

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 7)
2. "uploads failing intermittently" (category: infra, priority 7)
3. "invoice total wrong" (category: payments, priority 8)
4. "API latency spikes" (category: infra, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "uploads failing intermittently", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "uploads failing intermittently", "priority": 7 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 8 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "haddad" } } ]
correctagentic.tools.context-load-v1conf 100% · 384ms · $0.024 · 231 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 (206 records, format: id|customer|region|item|qty|status):
```
1817|cobalt|south|rotor|30|held
1476|gale|south|rotor|18|held
1601|cobalt|west|frame|10|held
1161|cobalt|west|cable|56|paid
1800|juno|north|cable|57|pending
1548|birch|east|valve|98|paid
1676|harbor|south|pump|66|paid
1511|acme|south|frame|63|held
1527|dorian|north|sensor|61|paid
1455|acme|east|valve|53|paid
1779|cobalt|north|cable|12|pending
1072|fulton|west|cable|38|pending
1237|harbor|north|valve|18|held
1709|birch|south|frame|82|held
1643|cobalt|south|panel|91|pending
1716|ionic|south|frame|31|paid
1837|birch|north|sensor|12|held
1187|ionic|east|panel|15|shipped
1375|cobalt|east|panel|39|shipped
1063|fulton|east|cable|21|shipped
1815|acme|east|gasket|74|pending
1276|birch|east|pump|16|shipped
1419|acme|west|pump|84|pending
1162|ionic|west|rotor|30|shipped
1437|gale|south|valve|65|paid
1407|fulton|south|sensor|82|paid
1625|fulton|east|panel|46|held
1343|birch|west|gasket|66|held
1275|juno|north|frame|24|pending
1634|ionic|west|rotor|46|held
1835|birch|west|pump|19|held
1569|gale|west|rotor|20|pending
1780|gale|west|frame|30|paid
1462|ember|west|cable|56|held
1233|ember|north|pump|77|held
1207|juno|east|sensor|66|shipped
1751|dorian|west|cable|45|pending
1522|ember|west|rotor|32|paid
1089|fulton|east|valve|79|shipped
1594|cobalt|west|cable|76|held
1821|ember|west|sensor|56|held
1096|ionic|south|pump|39|pending
1458|gale|west|valve|68|paid
1806|dorian|north|valve|18|pending
1694|ember|south|sensor|99|pending
1290|ember|north|rotor|57|held
1851|dorian|south|valve|28|paid
1467|birch|south|sensor|69|shipped
1435|ember|west|cable|52|shipped
1525|cobalt|south|panel|44|pending
1414|fulton|west|frame|71|held
1200|dorian|south|cable|53|pending
1316|harbor|north|valve|75|shipped
1206|ionic|west|panel|52|shipped
1058|fulton|east|valve|17|pending
1198|fulton|north|frame|45|shipped
1309|ember|west|sensor|76|paid
1321|gale|east|pump|64|held
1342|ionic|east|gasket|76|held
1554|acme|west|gasket|45|held
1641|ionic|south|pump|39|paid
1226|juno|north|panel|85|shipped
1847|gale|north|rotor|63|paid
1394|juno|north|pump|71|pending
1354|acme|south|valve|40|pending
1614|juno|east|cable|82|pending
1828|ionic|west|rotor|79|held
1498|birch|north|valve|80|shipped
1831|gale|east|panel|35|paid
1658|gale|east|frame|16|held
1269|juno|west|sensor|54|shipped
1166|gale|east|cable|87|shipped
1745|fulton|south|panel|24|pending
1872|juno|west|rotor|77|held
1220|harbor|east|valve|17|paid
1402|ember|north|rotor|41|pending
1256|juno|east|panel|90|shipped
1352|dorian|west|gasket|31|pending
1516|birch|south|pump|35|pending
1785|cobalt|east|pump|33|pending
1505|fulton|north|rotor|33|shipped
1599|dorian|east|frame|78|shipped
1386|acme|west|frame|69|held
1523|juno|west|pump|73|pending
1190|harbor|south|frame|10|held
1238|fulton|south|panel|31|shipped
1424|cobalt|west|pump|27|pending
1428|juno|north|cable|60|held
1244|birch|south|sensor|91|held
1285|fulton|south|cable|61|paid
1711|harbor|west|pump|39|paid
1632|harbor|north|cable|39|shipped
1772|harbor|north|valve|85|pending
1271|birch|north|sensor|66|pending
1262|cobalt|south|sensor|83|held
1762|harbor|south|sensor|75|shipped
1535|ember|south|frame|62|shipped
1737|cobalt|north|pump|71|pending
1608|ionic|east|cable|50|shipped
1485|harbor|west|gasket|93|shipped
1416|harbor|east|pump|43|pending
1457|ember|east|frame|34|held
1107|juno|south|valve|34|shipped
1690|gale|north|gasket|42|shipped
1120|cobalt|west|valve|54|pending
1540|cobalt|west|panel|18|paid
1713|ionic|east|sensor|23|paid
1698|ember|south|sensor|61|shipped
1555|juno|west|cable|72|shipped
1493|harbor|east|cable|45|paid
1765|ionic|west|rotor|21|pending
1564|juno|south|valve|91|held
1101|fulton|west|panel|34|paid
1480|juno|west|panel|87|shipped
1084|fulton|south|frame|50|pending
1766|ionic|west|rotor|88|paid
1854|cobalt|west|panel|34|paid
1245|gale|west|pump|96|shipped
1686|birch|east|valve|51|pending
1082|fulton|east|sensor|24|pending
1197|ember|north|rotor|43|shipped
1583|acme|south|gasket|49|paid
1706|ionic|south|rotor|68|pending
1183|ember|north|gasket|87|paid
1757|gale|west|rotor|38|pending
1739|cobalt|south|valve|10|shipped
1348|harbor|north|sensor|28|shipped
1174|acme|north|panel|73|shipped
1727|dorian|north|gasket|32|pending
1774|dorian|south|cable|55|paid
1291|birch|north|cable|39|pending
1651|acme|east|valve|32|shipped
1150|acme|east|pump|19|pending
1670|ember|north|valve|49|shipped
1265|ember|south|gasket|42|pending
1143|gale|north|cable|10|pending
1746|ionic|south|panel|59|paid
1137|dorian|south|valve|54|shipped
1439|fulton|west|rotor|96|shipped
1473|harbor|east|panel|62|paid
1251|gale|east|frame|34|pending
1558|birch|north|frame|78|held
1078|fulton|east|rotor|20|paid
1813|acme|north|cable|95|paid
1448|cobalt|east|pump|36|held
1305|ember|south|pump|57|held
1580|juno|west|panel|14|pending
1539|fulton|north|panel|10|held
1848|acme|west|pump|92|paid
1777|ember|west|panel|44|pending
1475|juno|south|rotor|30|shipped
1350|fulton|north|rotor|21|shipped
1792|juno|east|pump|47|held
1157|cobalt|east|pump|41|shipped
1362|gale|south|gasket|76|paid
1113|gale|south|rotor|85|held
1392|fulton|east|panel|71|held
1347|harbor|east|gasket|63|held
1298|cobalt|south|rotor|47|held
1546|dorian|east|rotor|72|held
1704|harbor|south|panel|84|pending
1781|dorian|east|panel|43|pending
1295|harbor|south|cable|20|shipped
1588|juno|west|valve|58|pending
1339|harbor|west|rotor|44|shipped
1865|juno|south|pump|16|shipped
1379|harbor|south|sensor|20|shipped
1059|fulton|west|rotor|35|pending
1858|ember|south|rotor|65|held
1164|gale|north|rotor|12|pending
1279|gale|west|panel|49|paid
1842|fulton|east|frame|59|pending
1065|fulton|east|sensor|65|pending
1399|juno|west|pump|26|held
1213|harbor|west|sensor|12|paid
1589|cobalt|west|cable|57|paid
1793|cobalt|north|valve|79|held
1734|gale|west|gasket|17|shipped
1370|ionic|west|sensor|50|pending
1575|ionic|east|pump|65|pending
1443|juno|west|gasket|31|shipped
1607|ember|east|cable|29|held
1487|gale|south|gasket|31|pending
1333|birch|west|pump|90|shipped
1178|juno|north|rotor|64|held
1131|dorian|east|cable|46|shipped
1620|harbor|south|frame|99|held
1283|cobalt|south|gasket|68|shipped
1645|gale|east|cable|39|held
1170|fulton|north|frame|92|held
1124|birch|south|sensor|53|shipped
1357|fulton|south|sensor|37|paid
1257|gale|west|rotor|39|paid
1654|dorian|north|rotor|77|held
1663|ionic|east|panel|98|paid
1679|juno|west|valve|29|pending
1629|ionic|west|sensor|42|held
1529|ember|east|rotor|56|pending
1504|gale|east|valve|45|pending
1722|harbor|east|sensor|92|shipped
1099|cobalt|north|rotor|23|paid
1193|birch|east|valve|12|shipped
1328|juno|east|panel|86|pending
1445|acme|south|pump|44|paid
1367|cobalt|south|sensor|23|held
1278|ember|east|frame|32|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 53, 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":1058}},{"tool":"restock","args":{"item":"sensor","qty":65}},{"tool":"cancel_order","args":{"order_id":1082}},{"tool":"restock","args":{"item":"frame","qty":59}}]
correctagentic.tools.deploy-v1conf 100% · 610ms · $0.006 · 161 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"search"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"reports"}}, {"tool":"health_check","args":{"service":"reports"}}, {"tool":"deploy","args":{"service":"gateway"}} ]
correctagentic.tools.ledger-v1conf 100% · 523ms · $0.009 · 229 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- oscar: $688
- kilo: $518
- echo: $503

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $243 from "kilo" to "oscar"
2. pay $167 from "echo" to "kilo"
3. pay $205 from "oscar" to "kilo"
4. pay $416 from "echo" to "kilo"
5. pay $574 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":"kilo","to":"oscar","amount":243}}, {"tool":"transfer","args":{"from":"echo","to":"kilo","amount":167}}, {"tool":"transfer","args":{"from":"oscar","to":"kilo","amount":205}}, {"tool":"top_up_from_reserve","args":{"account":"echo","amount":80}}, {"tool":"transfer","args":{"from":"echo","to":"kilo","amount":416}}, {"tool":"transfer","args":{"from":"kilo","to":"echo","amount":574}} ]
correctagentic.tools.context-load-v1conf 100% · 632ms · $0.019 · 249 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 (134 records, format: id|customer|region|item|qty|status):
```
1274|gale|north|valve|18|pending
1462|juno|west|frame|49|pending
1416|fulton|east|panel|26|held
1633|juno|east|pump|53|held
1561|ionic|west|valve|53|paid
1486|acme|south|rotor|30|pending
1315|juno|west|cable|42|shipped
1682|dorian|east|valve|87|shipped
1562|harbor|north|valve|49|paid
1639|cobalt|west|gasket|14|pending
1826|ionic|west|frame|45|held
1492|fulton|north|cable|65|shipped
1722|juno|north|panel|39|shipped
1556|cobalt|south|cable|94|pending
1495|gale|west|sensor|10|paid
1395|dorian|north|pump|51|pending
1294|gale|east|sensor|72|pending
1305|gale|east|sensor|30|pending
1519|acme|east|panel|32|held
1522|fulton|south|gasket|82|paid
1755|gale|south|frame|72|paid
1550|ember|north|gasket|38|held
1457|fulton|east|sensor|77|held
1278|gale|west|rotor|23|held
1761|ionic|west|panel|34|shipped
1730|ember|north|cable|25|paid
1704|dorian|west|valve|88|shipped
1284|gale|south|gasket|94|pending
1674|ionic|west|sensor|83|pending
1781|birch|north|cable|39|pending
1598|fulton|north|valve|90|pending
1409|juno|south|pump|18|held
1638|cobalt|east|valve|27|held
1715|gale|west|frame|68|shipped
1469|juno|east|panel|99|held
1518|harbor|north|cable|67|paid
1299|gale|west|valve|75|shipped
1383|fulton|east|sensor|55|shipped
1388|harbor|north|valve|88|shipped
1666|harbor|south|gasket|82|pending
1579|ember|west|frame|91|pending
1611|ionic|east|sensor|98|held
1376|harbor|west|panel|75|pending
1326|ionic|east|rotor|23|paid
1309|gale|west|gasket|86|paid
1770|ionic|north|panel|24|held
1544|acme|west|valve|46|held
1417|harbor|south|valve|52|held
1680|cobalt|west|panel|66|pending
1263|gale|west|pump|84|paid
1792|fulton|west|valve|19|paid
1267|gale|west|gasket|19|pending
1646|dorian|east|valve|43|pending
1741|gale|north|frame|93|held
1609|birch|east|pump|24|paid
1533|ember|north|gasket|25|pending
1420|juno|east|cable|24|pending
1743|ember|west|valve|35|held
1343|ionic|south|panel|72|pending
1697|birch|east|gasket|42|paid
1508|ember|south|valve|50|pending
1438|birch|north|frame|99|pending
1319|harbor|south|cable|49|shipped
1339|gale|west|cable|38|paid
1478|harbor|north|gasket|86|shipped
1513|harbor|east|sensor|73|shipped
1765|birch|south|gasket|19|held
1528|ember|west|panel|86|paid
1658|juno|east|rotor|38|held
1811|birch|east|valve|93|paid
1613|juno|east|rotor|90|pending
1418|ionic|east|cable|14|paid
1804|birch|east|pump|47|paid
1502|juno|east|cable|38|pending
1453|birch|north|panel|35|pending
1745|cobalt|south|pump|18|paid
1333|dorian|east|cable|23|held
1280|gale|west|frame|76|pending
1484|dorian|north|gasket|13|held
1655|dorian|north|gasket|73|shipped
1539|harbor|south|panel|34|pending
1340|harbor|north|gasket|93|pending
1797|dorian|north|pump|60|held
1751|cobalt|north|gasket|57|paid
1684|birch|east|gasket|68|held
1446|harbor|east|gasket|42|paid
1696|juno|north|gasket|53|held
1708|cobalt|west|panel|72|shipped
1361|dorian|north|gasket|34|pending
1746|fulton|north|frame|31|shipped
1424|ionic|west|pump|57|paid
1497|ember|north|sensor|37|paid
1668|ionic|east|valve|48|held
1300|gale|west|valve|71|pending
1262|gale|east|cable|29|pending
1595|juno|east|cable|29|shipped
1588|juno|north|rotor|29|paid
1584|acme|east|panel|62|paid
1369|dorian|north|pump|25|paid
1433|fulton|north|rotor|14|held
1506|dorian|south|panel|95|paid
1659|fulton|south|valve|66|pending
1667|ionic|north|rotor|63|shipped
1425|ember|south|pump|21|shipped
1691|birch|east|cable|78|pending
1620|acme|east|pump|62|shipped
1605|acme|east|valve|37|held
1473|birch|north|sensor|95|paid
1788|ionic|south|gasket|67|paid
1774|gale|east|cable|50|held
1822|cobalt|north|valve|13|pending
1441|birch|east|pump|99|pending
1404|birch|west|pump|63|shipped
1256|gale|west|valve|91|pending
1355|harbor|south|frame|66|paid
1729|gale|north|pump|55|paid
1293|gale|west|pump|44|pending
1818|ember|east|panel|92|pending
1347|cobalt|north|cable|61|paid
1531|gale|east|cable|28|paid
1398|ionic|south|valve|24|pending
1650|juno|north|pump|44|pending
1366|juno|north|rotor|51|paid
1569|harbor|south|panel|77|pending
1626|harbor|north|valve|92|shipped
1555|dorian|south|rotor|76|shipped
1352|acme|east|frame|30|paid
1575|acme|west|cable|70|shipped
1574|dorian|north|valve|14|pending
1754|dorian|south|pump|22|pending
1737|fulton|north|sensor|29|shipped
1367|birch|west|frame|82|held
1430|juno|north|valve|33|pending
1290|gale|west|valve|89|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, 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":"valve","qty":91}}, {"tool":"cancel_order","args":{"order_id":1267}}, {"tool":"restock","args":{"item":"frame","qty":76}}, {"tool":"cancel_order","args":{"order_id":1293}}, {"tool":"restock","args":{"item":"valve","qty":71}} ]
correctagentic.tools.triage-v1conf 100% · 455ms · $0.012 · 307 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 → chen
- payments → okafor
- infra → haddad

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 2)
2. "locked out after 2FA change" (category: auth, priority 2)
3. "uploads failing intermittently" (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": "locked out after 2FA change", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 2 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "uploads failing intermittently", "priority": 7 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-3" } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "haddad" } } ]
correctagentic.tools.deploy-v1conf 100% · 878ms · $0.006 · 135 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"reports"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"gateway"}}, {"tool":"health_check","args":{"service":"gateway"}}, {"tool":"deploy","args":{"service":"notifier"}} ]
correctagentic.tools.context-load-v1conf 100% · 329ms · $0.022 · 313 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 (153 records, format: id|customer|region|item|qty|status):
```
1421|juno|south|pump|73|shipped
1434|acme|west|valve|68|shipped
1474|juno|south|gasket|71|shipped
1465|fulton|south|valve|34|pending
1608|cobalt|south|sensor|51|paid
1138|dorian|south|sensor|22|shipped
1328|harbor|south|sensor|40|held
1549|acme|west|valve|24|paid
1261|acme|south|sensor|48|held
1494|harbor|south|sensor|37|pending
1335|gale|east|valve|29|paid
1224|cobalt|east|gasket|17|pending
1540|cobalt|south|frame|41|paid
1598|dorian|west|rotor|81|shipped
1385|birch|west|gasket|16|pending
1503|cobalt|west|panel|59|shipped
1185|ember|east|pump|87|paid
1278|gale|south|rotor|93|pending
1195|ember|south|frame|47|held
1302|juno|west|sensor|48|paid
1186|harbor|south|valve|12|shipped
1095|juno|west|rotor|36|paid
1108|birch|south|rotor|30|pending
1324|harbor|east|cable|28|shipped
1584|dorian|north|cable|86|paid
1437|dorian|east|rotor|18|paid
1399|fulton|east|frame|74|shipped
1246|acme|west|panel|31|pending
1202|fulton|north|panel|44|shipped
1316|harbor|east|gasket|19|pending
1583|harbor|north|sensor|68|held
1520|birch|east|cable|39|held
1289|harbor|north|rotor|40|paid
1236|gale|west|sensor|69|paid
1309|acme|north|frame|18|pending
1569|harbor|south|rotor|46|held
1564|dorian|east|gasket|13|held
1409|birch|south|frame|24|shipped
1106|fulton|west|sensor|32|paid
1079|ionic|east|rotor|80|paid
1193|gale|west|cable|14|pending
1165|ionic|north|cable|47|pending
1558|acme|east|pump|93|held
1488|gale|west|pump|43|pending
1180|cobalt|east|panel|27|paid
1546|gale|east|valve|89|paid
1439|acme|north|rotor|73|held
1579|acme|north|frame|85|held
1221|cobalt|west|sensor|30|shipped
1347|ionic|south|rotor|72|paid
1541|gale|west|panel|40|paid
1415|birch|south|panel|65|shipped
1203|birch|west|rotor|29|paid
1141|birch|north|cable|24|shipped
1358|ionic|east|gasket|46|paid
1054|ionic|east|panel|61|pending
1158|ionic|east|cable|40|pending
1371|acme|west|cable|20|pending
1561|birch|south|panel|27|pending
1214|juno|east|valve|36|paid
1274|ionic|north|rotor|22|shipped
1430|acme|east|panel|43|shipped
1043|ionic|west|rotor|88|pending
1342|dorian|south|sensor|69|shipped
1610|acme|east|sensor|21|shipped
1253|ionic|east|rotor|65|pending
1276|harbor|south|rotor|20|pending
1284|dorian|north|panel|66|pending
1511|cobalt|north|frame|47|shipped
1061|ionic|west|frame|18|pending
1128|fulton|south|panel|52|paid
1115|dorian|south|valve|28|pending
1092|cobalt|west|valve|49|pending
1391|ionic|south|frame|40|pending
1490|juno|west|frame|65|shipped
1323|ionic|north|cable|58|held
1576|birch|east|rotor|46|paid
1519|birch|east|gasket|22|shipped
1517|acme|south|valve|93|pending
1142|dorian|south|valve|30|held
1485|harbor|north|valve|22|paid
1560|acme|east|valve|89|pending
1252|ionic|north|valve|58|held
1615|birch|north|cable|59|pending
1173|birch|west|sensor|65|paid
1445|ionic|south|sensor|71|shipped
1208|ionic|east|frame|21|paid
1607|gale|east|pump|45|shipped
1239|juno|north|valve|46|paid
1398|harbor|west|sensor|23|pending
1210|juno|west|valve|59|pending
1232|ionic|south|pump|18|held
1524|dorian|west|cable|90|held
1262|ember|south|panel|52|shipped
1047|ionic|east|frame|72|held
1337|juno|east|cable|21|shipped
1364|gale|south|panel|53|pending
1042|ionic|east|rotor|32|pending
1074|ionic|south|panel|53|pending
1387|harbor|north|rotor|37|held
1537|harbor|west|sensor|39|shipped
1269|juno|north|valve|77|held
1487|birch|west|rotor|10|held
1497|ionic|north|gasket|95|paid
1346|ionic|north|gasket|20|pending
1259|ionic|east|gasket|13|pending
1468|gale|south|panel|75|shipped
1069|ionic|east|gasket|48|pending
1068|ionic|east|cable|18|shipped
1589|cobalt|west|sensor|59|pending
1134|birch|west|rotor|97|held
1229|fulton|east|rotor|77|held
1378|acme|south|panel|89|pending
1436|ember|west|panel|57|paid
1162|ember|south|pump|65|held
1149|ionic|west|gasket|82|pending
1443|dorian|south|sensor|97|shipped
1407|ember|north|panel|36|paid
1577|cobalt|north|pump|81|pending
1454|dorian|south|panel|45|held
1089|ionic|east|gasket|97|paid
1184|ionic|west|rotor|19|held
1188|acme|east|gasket|92|pending
1453|birch|west|panel|99|pending
1319|ionic|east|rotor|17|paid
1361|harbor|west|pump|30|held
1510|gale|west|valve|48|shipped
1087|ionic|south|rotor|17|pending
1291|fulton|east|cable|22|held
1154|harbor|north|panel|60|paid
1167|ionic|north|valve|58|pending
1183|fulton|south|cable|43|paid
1590|harbor|north|frame|85|pending
1401|dorian|west|panel|93|pending
1353|fulton|east|pump|46|pending
1083|ionic|east|gasket|44|pending
1601|fulton|south|panel|56|pending
1460|ionic|north|frame|58|paid
1530|birch|north|pump|73|shipped
1479|cobalt|east|gasket|80|paid
1297|juno|east|rotor|75|shipped
1122|birch|east|rotor|42|shipped
1551|ionic|north|sensor|91|held
1617|dorian|south|frame|75|shipped
1349|birch|south|pump|90|pending
1622|gale|north|frame|70|held
1557|gale|north|panel|23|paid
1099|harbor|west|gasket|89|shipped
1463|cobalt|north|panel|25|held
1596|harbor|south|gasket|77|pending
1094|harbor|west|sensor|28|pending
1428|acme|north|pump|65|held
1450|ionic|south|panel|36|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 40, 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":1042}}, {"tool":"restock","args":{"item":"panel","qty":61}}, {"tool":"restock","args":{"item":"gasket","qty":48}}, {"tool":"restock","args":{"item":"gasket","qty":44}}, {"tool":"cancel_order","args":{"order_id":1158}}, {"tool":"restock","args":{"item":"rotor","qty":65}}, {"tool":"cancel_order","args":{"order_id":1259}} ]
correctagentic.tools.ledger-v1conf 100% · 298ms · $0.007 · 172 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $211
- bravo: $826
- kilo: $181

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $262 from "bravo" to "alpha"
2. pay $459 from "bravo" to "kilo"
3. pay $375 from "kilo" to "bravo"
4. pay $217 from "alpha" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"transfer","args":{"from":"bravo","to":"alpha","amount":262}}, {"tool":"transfer","args":{"from":"bravo","to":"kilo","amount":459}}, {"tool":"transfer","args":{"from":"kilo","to":"bravo","amount":375}}, {"tool":"transfer","args":{"from":"alpha","to":"kilo","amount":217}} ]
correctagentic.tools.triage-v1conf 100% · 446ms · $0.010 · 242 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 6)
2. "records missing after import" (category: data, priority 6)
3. "records missing after import" (category: data, priority 6)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 6 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } } ]
correctagentic.tools.deploy-v1conf 100% · 412ms · $0.005 · 127 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"notifier"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"deploy","args":{"service":"search"}}, {"tool":"health_check","args":{"service":"search"}} ]
correctagentic.tools.ledger-v1conf 100% · 312ms · $0.009 · 231 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- oscar: $315
- delta: $263
- kilo: $714

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $394 from "oscar" to "kilo"
2. pay $403 from "delta" to "oscar"
3. pay $89 from "oscar" to "kilo"
4. pay $349 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":"top_up_from_reserve","args":{"account":"oscar","amount":79}}, {"tool":"transfer","args":{"from":"oscar","to":"kilo","amount":394}}, {"tool":"top_up_from_reserve","args":{"account":"delta","amount":140}}, {"tool":"transfer","args":{"from":"delta","to":"oscar","amount":403}}, {"tool":"transfer","args":{"from":"oscar","to":"kilo","amount":89}}, {"tool":"transfer","args":{"from":"kilo","to":"oscar","amount":349}} ]
correctagentic.tools.triage-v1conf 95% · 362ms · $0.017 · 468 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
- data → haddad
- auth → novak

INCIDENTS:
1. "API latency spikes" (category: infra, priority 8)
2. "dashboard shows stale numbers" (category: data, priority 6)
3. "API latency spikes" (category: infra, priority 8)
4. "API latency spikes" (category: infra, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 8 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 8 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "silva" } } ]
correctagentic.tools.context-load-v1conf 100% · 420ms · $0.021 · 228 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 (175 records, format: id|customer|region|item|qty|status):
```
1405|ember|east|sensor|55|shipped
1204|dorian|south|pump|95|held
1695|gale|north|frame|11|pending
1171|gale|south|pump|72|paid
1359|harbor|west|rotor|93|held
1310|dorian|west|valve|17|held
1116|harbor|east|valve|25|pending
1551|fulton|south|frame|80|held
1213|fulton|west|gasket|10|pending
1377|fulton|east|valve|97|paid
1430|ionic|east|gasket|72|pending
1678|acme|west|sensor|47|held
1671|fulton|west|gasket|50|held
1700|cobalt|south|gasket|59|held
1078|cobalt|north|cable|19|held
1626|fulton|north|gasket|50|pending
1444|harbor|east|pump|84|pending
1481|cobalt|north|cable|97|held
1146|juno|east|gasket|90|pending
1183|ionic|west|frame|80|paid
1411|ionic|east|pump|74|paid
1309|dorian|east|gasket|57|pending
1236|dorian|east|valve|20|held
1395|gale|south|pump|80|pending
1211|juno|west|panel|46|pending
1300|ember|north|frame|93|held
1044|cobalt|north|pump|72|pending
1739|dorian|west|cable|67|shipped
1047|cobalt|south|panel|52|pending
1582|ember|east|rotor|46|held
1343|harbor|west|valve|57|paid
1104|dorian|south|rotor|78|paid
1485|fulton|south|frame|38|pending
1573|ionic|west|gasket|18|pending
1592|ember|north|gasket|73|held
1583|cobalt|north|gasket|19|paid
1576|fulton|north|panel|17|shipped
1471|fulton|east|panel|85|shipped
1270|gale|north|rotor|49|shipped
1095|gale|north|cable|46|paid
1694|fulton|north|valve|69|paid
1055|cobalt|north|pump|99|pending
1438|harbor|north|cable|47|paid
1586|harbor|east|cable|89|shipped
1684|fulton|south|frame|84|shipped
1156|birch|west|panel|40|shipped
1443|fulton|east|valve|61|shipped
1607|juno|south|rotor|53|shipped
1517|harbor|north|valve|95|shipped
1265|ionic|north|rotor|82|pending
1135|juno|north|pump|72|shipped
1297|acme|south|gasket|72|shipped
1154|acme|west|pump|59|paid
1432|cobalt|east|pump|85|paid
1707|harbor|west|gasket|94|held
1335|juno|south|gasket|39|paid
1217|dorian|east|sensor|11|paid
1318|birch|west|rotor|46|pending
1596|ember|south|pump|80|paid
1238|birch|west|rotor|20|shipped
1319|dorian|east|pump|14|pending
1088|juno|north|sensor|94|pending
1275|ionic|south|frame|23|held
1151|birch|west|rotor|35|shipped
1113|fulton|east|rotor|63|held
1378|birch|south|frame|47|pending
1164|gale|west|valve|96|shipped
1714|dorian|north|panel|12|held
1261|cobalt|east|pump|76|pending
1494|cobalt|north|pump|57|held
1282|ember|east|pump|30|held
1083|dorian|south|rotor|33|paid
1064|cobalt|north|cable|94|held
1424|cobalt|west|pump|14|shipped
1406|dorian|east|valve|38|pending
1190|acme|west|frame|50|paid
1732|ionic|east|rotor|13|held
1593|ember|north|pump|43|paid
1097|fulton|east|gasket|71|shipped
1325|dorian|west|panel|62|shipped
1725|acme|south|gasket|21|shipped
1383|dorian|west|rotor|73|held
1474|gale|west|cable|59|shipped
1106|fulton|north|rotor|47|pending
1061|cobalt|west|rotor|47|pending
1304|ember|south|valve|74|paid
1387|cobalt|east|panel|86|shipped
1293|ionic|north|frame|88|held
1653|birch|west|pump|81|held
1418|birch|south|pump|55|held
1558|acme|east|frame|53|shipped
1538|juno|north|valve|82|pending
1496|harbor|east|sensor|26|pending
1632|juno|west|valve|75|held
1511|juno|north|panel|37|pending
1193|ionic|east|gasket|98|shipped
1354|fulton|west|gasket|83|pending
1401|cobalt|west|gasket|29|pending
1192|gale|east|gasket|30|held
1541|birch|east|pump|17|pending
1642|birch|west|cable|34|shipped
1532|cobalt|south|valve|22|shipped
1459|dorian|east|frame|27|shipped
1637|ionic|west|pump|56|pending
1461|harbor|west|panel|66|held
1256|ionic|south|gasket|45|pending
1524|juno|south|cable|93|pending
1488|harbor|east|frame|55|paid
1662|ionic|north|pump|45|shipped
1621|ember|north|pump|36|paid
1615|birch|south|gasket|34|pending
1614|fulton|east|frame|90|held
1210|fulton|north|pump|98|pending
1177|cobalt|west|frame|26|paid
1220|harbor|south|rotor|46|held
1658|juno|west|rotor|86|held
1123|birch|north|gasket|28|held
1129|ionic|east|pump|51|paid
1337|ionic|west|panel|43|paid
1054|cobalt|north|gasket|20|held
1676|cobalt|west|sensor|28|pending
1081|juno|north|cable|72|paid
1479|dorian|east|rotor|96|pending
1472|ionic|south|cable|29|paid
1449|acme|west|frame|24|paid
1603|ember|west|rotor|66|shipped
1085|dorian|east|sensor|20|held
1734|harbor|south|frame|30|paid
1624|harbor|west|sensor|18|paid
1080|fulton|east|rotor|67|held
1121|cobalt|west|frame|20|pending
1351|gale|north|panel|15|shipped
1525|gale|east|gasket|61|paid
1288|fulton|north|gasket|93|shipped
1502|fulton|west|cable|93|paid
1389|fulton|north|pump|59|pending
1718|ionic|north|valve|64|shipped
1332|dorian|north|rotor|35|paid
1249|juno|east|gasket|22|held
1323|ionic|north|sensor|79|shipped
1179|harbor|south|panel|50|pending
1070|cobalt|north|gasket|56|pending
1565|ionic|south|cable|88|paid
1465|cobalt|south|rotor|31|paid
1467|harbor|east|pump|92|held
1456|juno|east|cable|78|shipped
1470|harbor|south|panel|99|shipped
1690|fulton|south|rotor|95|held
1649|birch|east|valve|47|paid
1108|gale|north|cable|20|shipped
1140|cobalt|north|cable|72|held
1365|fulton|west|pump|91|pending
1701|cobalt|west|pump|48|held
1281|cobalt|west|panel|94|pending
1692|cobalt|south|valve|13|paid
1072|cobalt|west|rotor|13|pending
1317|dorian|east|panel|37|pending
1666|juno|west|valve|72|shipped
1497|cobalt|north|valve|16|held
1516|birch|north|frame|72|paid
1226|ionic|west|pump|54|paid
1508|fulton|north|panel|80|held
1199|birch|south|frame|81|shipped
1402|harbor|east|frame|42|paid
1549|acme|west|sensor|75|held
1231|cobalt|west|frame|22|pending
1546|juno|east|frame|24|held
1157|acme|south|panel|45|held
1566|ember|east|valve|22|held
1346|acme|east|panel|82|pending
1554|birch|west|frame|89|pending
1243|ember|west|panel|75|paid
1372|harbor|east|frame|98|pending
1492|ember|south|pump|72|pending
1553|gale|north|pump|20|shipped
```

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 > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"restock","args":{"item":"pump","qty":72}}, {"tool":"restock","args":{"item":"pump","qty":99}}, {"tool":"cancel_order","args":{"order_id":1070}} ]
correctagentic.tools.deploy-v1conf 100% · 366ms · $0.005 · 124 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: notifier
- gateway: billing
- billing: auth-svc, notifier
- notifier: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"deploy","args":{"service":"notifier"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"deploy","args":{"service":"gateway"}}, {"tool":"health_check","args":{"service":"gateway"}} ]
correctagentic.tools.ledger-v1conf 100% · 427ms · $0.008 · 208 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: $525
- bravo: $281
- alpha: $420

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $225 from "bravo" to "alpha"
2. pay $418 from "kilo" to "alpha"
3. pay $215 from "bravo" to "kilo"
4. pay $211 from "kilo" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"transfer","args":{"from":"bravo","to":"alpha","amount":225}}, {"tool":"transfer","args":{"from":"kilo","to":"alpha","amount":418}}, {"tool":"top_up_from_reserve","args":{"account":"bravo","amount":159}}, {"tool":"transfer","args":{"from":"bravo","to":"kilo","amount":215}}, {"tool":"transfer","args":{"from":"kilo","to":"alpha","amount":211}} ]
correctagentic.tools.triage-v1conf 100% · 469ms · $0.012 · 324 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 → haddad
- infra → novak
- data → dubois

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 8)
2. "webhooks not delivered" (category: infra, priority 5)
3. "webhooks not delivered" (category: infra, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 5 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } } ]
correctagentic.tools.deploy-v1anchorconf 100% · 1.9s · $0.006 · 131 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.context-load-v1anchorconf 100% · 962ms · $0.025 · 313 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.ledger-v1anchorconf 100% · 451ms · $0.010 · 265 tok
model answer: [ {"tool":"top_up_from_reserve","args":{"account":"delta","amount":134}}, {"tool":"transfer","args":{"from":"delta","to":"bravo","amount":451}}, {"tool":"transfer","args":{"from":"bravo","to":"delta","amount":292}}, {"tool":"transfer","args":{"from":"delta","to":"tango","amount":97}}, {"tool":"top_up_from_reserve","args":{"account":"delta","amount":345}}, {"tool":"transfer","args":{"from":"delta","to":"bravo","amount":540}}, {"tool":"transfer","args":{"from":"tango","to":"bravo","amount":125}} ]
correctagentic.tools.triage-v1anchorconf 100% · 352ms · $0.014 · 369 tok
model answer: [ { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "tanaka" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 9 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-1" } } ]
code 30/30 correct
correctcode.trace.js-v1conf 100% · 409ms · $0.004 · 96 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 2)
  .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: 190
correctcode.trace.nested-v1conf 100% · 303ms · $0.010 · 298 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 206
correctcode.trace.python-v1conf 100% · 392ms · $0.004 · 120 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 9
while total + v <= 69:
    if v % 6 != 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: 45
correctcode.trace.js-v1conf 100% · 347ms · $0.004 · 95 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];
const out = arr
  .map(n => n * 7)
  .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: 189
correctcode.trace.nested-v1conf 100% · 317ms · $0.008 · 246 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 327
correctcode.trace.python-v1conf 100% · 264ms · $0.007 · 203 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 1
while total + v <= 98:
    if v % 5 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctcode.trace.js-v1conf 100% · 340ms · $0.004 · 102 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 75
correctcode.trace.nested-v1conf 100% · 399ms · $0.007 · 195 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) % 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: 116
correctcode.trace.js-v1conf 100% · 1.3s · $0.004 · 121 tok
question
What does this JavaScript program log?

```js
const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16];
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: 420
correctcode.trace.python-v1conf 100% · 368ms · $0.006 · 196 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 3
while total + v <= 81:
    if v % 6 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 75
correctcode.trace.nested-v1conf 100% · 339ms · $0.007 · 220 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.python-v1conf 100% · 430ms · $0.005 · 135 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 58:
    if v % 7 != 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: 51
correctcode.trace.js-v1conf 100% · 301ms · $0.004 · 99 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];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 396
correctcode.trace.js-v1conf 100% · 1.9s · $0.004 · 109 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 56
correctcode.trace.nested-v1conf 100% · 327ms · $0.009 · 267 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108
correctcode.trace.python-v1conf 100% · 733ms · $0.006 · 174 tok
question
What does this Python program print?

```python
total = 0
v = 5
while total + v <= 87:
    if v % 3 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 60
correctcode.trace.nested-v1conf 100% · 441ms · $0.010 · 308 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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.python-v1conf 100% · 350ms · $0.003 · 83 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 15
while total + v <= 120:
    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: 0
correctcode.trace.nested-v1conf 100% · 373ms · $0.009 · 290 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 147
correctcode.trace.js-v1conf 100% · 356ms · $0.003 · 76 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 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: 108
correctcode.trace.python-v1conf 100% · 422ms · $0.005 · 133 tok
question
What does this Python program print?

```python
total = 0
v = 2
while total + v <= 46:
    if v % 7 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 30
correctcode.trace.js-v1conf 100% · 633ms · $0.004 · 98 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 45
correctcode.trace.nested-v1conf 100% · 783ms · $0.009 · 275 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) % 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: 68
correctcode.trace.python-v1conf 100% · 299ms · $0.006 · 184 tok
question
What does this Python program print?

```python
total = 0
v = 2
while total + v <= 58:
    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: 34
correctcode.trace.nested-v1conf 100% · 1.7s · $0.014 · 453 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 455
correctcode.trace.js-v1conf 100% · 291ms · $0.003 · 80 tok
question
What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8];
const out = arr
  .map(n => n * 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: 108
correctcode.trace.python-v1anchorconf 100% · 334ms · $0.004 · 129 tok
model answer: 0
correctcode.trace.nested-v1anchorconf 100% · 375ms · $0.012 · 376 tok
model answer: 283
correctcode.trace.js-v1anchorconf 100% · 304ms · $0.004 · 104 tok
model answer: 63
correctcode.trace.python-v1anchorconf 100% · 302ms · $0.004 · 112 tok
model answer: 40
instruction following 30/30 correct
correctif.constraints.stack-v1conf 100% · 336ms · $0.006 · 192 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "orbit" and the last word must be "basalt".
3. Use the word "cedar" 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 above the sea gulls drift while cedar cedar and cedar boats cross silver waves toward distant cliffs of dark basalt
correctif.format.acronym-v1conf 100% · 568ms · $0.001 · 16 tok
question
Take the first letter of each of these words, in order: prism, comet, basalt, zephyr, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PCBZL
correctif.constraints.stack-v1conf 100% · 298ms · $0.008 · 248 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "ember" and the last word must be "zephyr".
3. Use the word "falcon" 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: ember tides cradle moonlit reefs, while falcon circles; silver waves hum softly, and falcon shadows drift over deep waters under calm stars toward zephyr
correctif.constraints.stack-v1conf 100% · 304ms · $0.011 · 353 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "prism" and the last word must be "comet".
3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism city glows; stars orbit rooftops, dreams orbit alleys, night trains orbit dawn's distant comet
correctif.format.repeat-v1conf 100% · 325ms · $0.002 · 58 tok
question
Write the word "quartz" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz_quartz_quartz_quartz_quartz_quartz_quartz
correctif.format.acronym-v1conf 100% · 719ms · $0.001 · 16 tok
question
Take the first letter of each of these words, in order: cedar, nova, basalt, comet, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CNBCF
correctif.format.repeat-v1conf 100% · 324ms · $0.002 · 62 tok
question
Write the word "cedar" in capitalized form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR
correctif.format.repeat-v1conf 100% · 343ms · $0.002 · 55 tok
question
Write the word "comet" 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: COMET_COMET_COMET_COMET
correctif.format.acronym-v1conf 100% · 350ms · $0.002 · 51 tok
question
Take the second letter of each of these words, in order: comet, zephyr, 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: OEROM
correctif.constraints.stack-v1conf 100% · 329ms · $0.007 · 198 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "comet" and the last word must be "ember".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet travelers crossed endless deserts, bearing flint, flint, flint, beyond mountains and oceans toward ember
correctif.format.acronym-v1conf 100% · 282ms · $0.002 · 66 tok
question
Take the third letter of each of these words, in order: ember, echo, orbit, drift, 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: BHBINM
correctif.constraints.stack-v1conf 100% · 431ms · $0.006 · 174 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 "delta".
3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet began a long journey across silent deserts echo through mountains echo toward delta
correctif.format.repeat-v1conf 100% · 427ms · $0.002 · 55 tok
question
Write the word "cedar" in lowercase form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cedar-cedar-cedar-cedar-cedar-cedar
correctif.format.acronym-v1conf 100% · 307ms · $0.002 · 59 tok
question
Take the second letter of each of these words, in order: zephyr, flint, nova, orbit, lumen, 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: ELORUO
correctif.format.repeat-v1conf 100% · 1.2s · $0.003 · 84 tok
question
Write the word "falcon" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon_falcon_falcon_falcon_falcon_falcon_falcon
correctif.constraints.stack-v1conf 100% · 387ms · $0.006 · 179 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "tundra" and the last word must be "delta".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra winds surround an ancient steam engine whose worn brass gears turn slowly beside quartz gauges and a cracked quartz valve near the delta
correctif.format.acronym-v1conf 100% · 298ms · $0.001 · 17 tok
question
Take the first letter of each of these words, in order: delta, tundra, falcon, ember, drift, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DTFEDB
correctif.constraints.stack-v1conf 100% · 272ms · $0.008 · 244 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "falcon" and the last word must be "flint".
3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon winter mornings glow while ember warms cold hands and ember light guides footsteps over frost toward flint
correctif.format.repeat-v1conf 100% · 360ms · $0.003 · 83 tok
question
Write the word "tundra" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRA
correctif.format.acronym-v1conf 100% · 287ms · $0.001 · 16 tok
question
Take the first letter of each of these words, in order: prism, drift, cedar, basalt, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PDCBF
correctif.constraints.stack-v1conf 100% · 678ms · $0.010 · 300 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "comet" and the last word must be "lumen".
3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet was an old quartz engine, turning slowly; its quartz gears whispered beneath rust, while a cracked quartz dial preserved lumen
correctif.format.repeat-v1conf 100% · 331ms · $0.004 · 102 tok
question
Write the word "flint" in capitalized form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FLINT/FLINT/FLINT/FLINT/FLINT/FLINT/FLINT
correctif.format.acronym-v1conf 100% · 359ms · $0.003 · 74 tok
question
Take the third letter of each of these words, in order: prism, drift, comet, basalt, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: IIMSA
correctif.constraints.stack-v1conf 100% · 320ms · $0.008 · 232 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "tundra" and the last word must be "cedar".
3. Use the word "delta" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra winter mornings glow softly, while delta winds brush frozen fields; delta shadows linger, and delta sunlight warms sleeping roots beneath snowbound ancient cedar
correctif.format.repeat-v1conf 100% · 739ms · $0.003 · 85 tok
question
Write the word "prism" in lowercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism/prism/prism/prism/prism/prism/prism
correctif.format.acronym-v1conf 100% · 414ms · $0.002 · 48 tok
question
Take the second letter of each of these words, in order: basalt, ember, comet, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: AMOL
correctif.format.repeat-v1anchorconf 100% · 292ms · $0.003 · 80 tok
model answer: Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echo
correctif.format.repeat-v1anchorconf 100% · 833ms · $0.003 · 72 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.constraints.stack-v1anchorconf 100% · 308ms · $0.007 · 206 tok
model answer: drift through midnight streets where lumen signs shimmer lumen windows glow and lumen lamps guide silent cars beneath towers circling the city's dark orbit
correctif.format.acronym-v1anchorconf 100% · 350ms · $0.001 · 16 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 372ms · $0.001 · 14 tok
question
What is the element whose symbol is Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 359ms · $0.001 · 17 tok
question
Identify the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 567ms · $0.001 · 14 tok
question
Name the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 411ms · $0.001 · 14 tok
question
Identify the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 366ms · $0.001 · 14 tok
question
Name the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 383ms · $0.001 · 17 tok
question
What is the author of "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 419ms · $0.001 · 14 tok
question
Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 333ms · $0.001 · 14 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% · 383ms · $0.001 · 17 tok
question
Name 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% · 373ms · $0.001 · 14 tok
question
Identify the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 820ms · $0.001 · 15 tok
question
What is the element whose symbol is K?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 319ms · $0.001 · 17 tok
question
Identify the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 342ms · $0.001 · 14 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% · 379ms · $0.001 · 17 tok
question
What is the author of "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 282ms · $0.001 · 14 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% · 334ms · $0.001 · 14 tok
question
Identify the Nigerian 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: Abuja
correctknowledge.fr.factbank-v2conf 100% · 378ms · $0.001 · 14 tok
question
Identify the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 569ms · $0.001 · 17 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% · 332ms · $0.001 · 14 tok
question
Name the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 350ms · $0.001 · 14 tok
question
Identify the capital of Switzerland.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 1.0s · $0.001 · 17 tok
question
Identify the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 344ms · $0.001 · 14 tok
question
What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 617ms · $0.001 · 18 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% · 502ms · $0.001 · 15 tok
question
What is the element whose symbol is W?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 585ms · $0.001 · 15 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-v2anchorconf 100% · 310ms · $0.001 · 14 tok
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 383ms · $0.001 · 15 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-v2anchorconf 100% · 532ms · $0.001 · 15 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 1.4s · $0.001 · 15 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 510ms · $0.001 · 14 tok
model answer: Lead
math 30/30 correct
correctmath.chained.pipeline-v1conf 100% · 664ms · $0.002 · 59 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 20 × 25.
Step 2: Q = P × 6 − 143.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 477
correctmath.counterfactual.base-v1conf 100% · 696ms · $0.004 · 107 tok
question
Work strictly in base 11. Multiply the base-11 numbers 15 and 29. 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: 411
correctmath.algebra.system-v2conf 100% · 572ms · $0.003 · 81 tok
question
Solve the system, then answer the derived question.

8x + 6y = 462
3x − 2y = 67

What is the value of 6x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 109
correctmath.percent.chain-v2conf 100% · 495ms · $0.003 · 79 tok
question
An inventory starts at 10000 units. The delivery van has a 34-liter fuel tank. In the first month the inventory grows by 20%. Each pallet weighs about 103 grams more when wet. The next month it shrinks by 41%, 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: 7858.8
correctmath.arith.chain-v2conf 100% · 312ms · $0.003 · 93 tok
question
Evaluate the expression below and give the result.

(((83 × 82 − 125) × 4 + 6886) − 71 × 73) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 198989
correctmath.counterfactual.base-v1conf 100% · 423ms · $0.007 · 231 tok
question
Work strictly in base 11. Multiply the base-11 numbers 59 and 53. 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: 2875
correctmath.chained.pipeline-v1conf 100% · 296ms · $0.003 · 68 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 23 × 48.
Step 2: Q = P × 6 − 271.
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: 2119
correctmath.percent.chain-v2conf 100% · 933ms · $0.004 · 120 tok
question
An inventory starts at 7000 units. A rival firm shipped 122 unrelated parcels the same week. In the first month the inventory grows by 19%. A rival firm shipped 67 unrelated parcels the same week. The next month it shrinks by 37%, and the month after it grows by 8%. 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: 5667.73
correctmath.algebra.system-v2conf 100% · 319ms · $0.005 · 140 tok
question
Solve the system, then answer the derived question.

5x + 4y = 326
5x − 3y = 53

What is the value of 6x − 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: 126
correctmath.arith.chain-v2conf 100% · 246ms · $0.003 · 80 tok
question
Compute the value of the following expression.

(((60 × 40 − 601) × 7 + 7486) − 69 × 43) × 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: 102672
correctmath.chained.pipeline-v1conf 100% · 385ms · $0.003 · 64 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 57 × 12.
Step 2: Q = P × 7 − 393.
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: 1101
correctmath.percent.chain-v2conf 100% · 319ms · $0.004 · 102 tok
question
An inventory starts at 7000 units. Each pallet weighs about 176 grams more when wet. In the first month the inventory grows by 39%. The company was founded 33 kilometers from the port. The next month it shrinks by 40%, and the month after it grows by 23%. 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: 7180.74
correctmath.counterfactual.base-v1conf 100% · 265ms · $0.003 · 101 tok
question
Work strictly in base 7. Add the base-7 numbers 3144 and 4032. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 10206
correctmath.algebra.system-v2conf 100% · 394ms · $0.004 · 122 tok
question
Solve the system, then answer the derived question.

4x + 6y = -2
7x − 4y = -18

What is the value of 6x − 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: -18
correctmath.arith.chain-v2conf 100% · 332ms · $0.006 · 188 tok
question
Work out the exact value of this expression.

(((69 × 51 − 451) × 4 + 8838) − 46 × 66) × 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: 72296
correctmath.chained.pipeline-v1conf 100% · 708ms · $0.002 · 52 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 18 × 20.
Step 2: Q = P × 3 − 268.
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: 203
correctmath.percent.chain-v2conf 100% · 458ms · $0.006 · 173 tok
question
An inventory starts at 94000 units. A rival firm shipped 49 unrelated parcels the same week. In the first month the inventory grows by 37%. The delivery van has a 96-liter fuel tank. The next month it shrinks by 23%, and the month after it grows by 28%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 126925.57
correctmath.counterfactual.base-v1conf 100% · 361ms · $0.007 · 207 tok
question
Work strictly in base 13. Multiply the base-13 numbers 18 and 37. 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: 594
correctmath.algebra.system-v2conf 100% · 364ms · $0.006 · 179 tok
question
Solve the system, then answer the derived question.

6x + 3y = -15
2x − 2y = 64

What is the value of 4x − 6y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 174
correctmath.arith.chain-v2conf 100% · 546ms · $0.005 · 162 tok
question
Work out the exact value of this expression.

(((28 × 76 − 725) × 6 + 5709) − 64 × 55) × 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: 31821
correctmath.chained.pipeline-v1conf 100% · 519ms · $0.005 · 155 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 62 × 56.
Step 2: Q = P × 8 − 732.
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: 5412
correctmath.algebra.system-v2conf 100% · 331ms · $0.008 · 243 tok
question
Solve the system, then answer the derived question.

6x + 9y = 432
9x − 2y = 307

What is the value of 3x − 6y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -15
correctmath.counterfactual.base-v1conf 100% · 571ms · $0.006 · 189 tok
question
Work strictly in base 8. Multiply the base-8 numbers 102 and 53. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 5426
correctmath.percent.chain-v2conf 100% · 335ms · $0.005 · 153 tok
question
An inventory starts at 12000 units. Each pallet weighs about 133 grams more when wet. In the first month the inventory grows by 29%. A rival firm shipped 121 unrelated parcels the same week. The next month it shrinks by 32%, and the month after it grows by 12%. 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: 11789.568
correctmath.arith.chain-v2conf 100% · 338ms · $0.006 · 170 tok
question
Calculate the following. Show your reasoning, then answer.

(((64 × 43 − 152) × 4 + 3653) − 39 × 30) × 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: 77298
correctmath.chained.pipeline-v1conf 100% · 312ms · $0.003 · 85 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 34 × 67.
Step 2: Q = P × 7 − 872.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2514
correctmath.counterfactual.base-v1anchorconf 100% · 628ms · $0.006 · 199 tok
model answer: 11236
correctmath.percent.chain-v2anchorconf 100% · 444ms · $0.004 · 127 tok
model answer: 61896.52
correctmath.arith.chain-v2anchorconf 100% · 365ms · $0.003 · 90 tok
model answer: 108153
correctmath.algebra.system-v2anchorconf 100% · 440ms · $0.004 · 128 tok
model answer: 87
multilingual 29/30 correct
correctmultilingual.numword-v2conf 100% · 499ms · $0.003 · 75 tok
question
Compute 399 + 380, 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 soixante-dix-neuf
correctmultilingual.wordnum-v1conf 100% · 338ms · $0.001 · 15 tok
question
A number is written in French: « six cent soixante et un ». Another is written in Spanish: « ciento sesenta 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: 500
correctmultilingual.wordnum-v1conf 100% · 2.8s · $0.001 · 15 tok
question
A number is written in French: « huit cent soixante-dix ». Another is written in Spanish: « ochocientos noventa y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -28
wrongmultilingual.numword-v2conf 100% · 543ms · $0.002 · 69 tok
question
Compute 412 + 428, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent quarante
correctmultilingual.wordnum-v1conf 100% · 639ms · $0.001 · 15 tok
question
A number is written in French: « quatre cent dix-neuf ». Another is written in Spanish: « doscientos veinte ». 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: 639
correctmultilingual.numword-v2conf 100% · 373ms · $0.002 · 63 tok
question
Compute 97 + 174, 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 setenta y uno
correctmultilingual.wordnum-v1conf 100% · 382ms · $0.001 · 15 tok
question
A number is written in French: « trois cent vingt et un ». Another is written in Spanish: « ciento 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: 422
correctmultilingual.numword-v2conf 100% · 332ms · $0.003 · 75 tok
question
Compute 153 + 237, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent quatre-vingt-dix
correctmultilingual.numword-v2conf 100% · 344ms · $0.003 · 99 tok
question
Compute 169 + 77, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent quarante-six
correctmultilingual.wordnum-v1conf 100% · 401ms · $0.003 · 73 tok
question
A number is written in French: « quatre cent quatre-vingt-sept ». Another is written in Spanish: « ochocientos noventa 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: -407
correctmultilingual.wordnum-v1conf 100% · 380ms · $0.001 · 15 tok
question
A number is written in French: « neuf cent trente-sept ». Another is written in Spanish: « novecientos cuarenta ». 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: -3
correctmultilingual.numword-v2conf 100% · 311ms · $0.002 · 63 tok
question
Compute 304 + 212, 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 dieciséis
correctmultilingual.numword-v2conf 100% · 1.4s · $0.003 · 82 tok
question
Compute 148 + 100, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent quarante-huit
correctmultilingual.wordnum-v1conf 100% · 430ms · $0.002 · 55 tok
question
A number is written in French: « six cent soixante ». Another is written in Spanish: « trescientos sesenta y siete ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1027
correctmultilingual.numword-v2conf 100% · 281ms · $0.003 · 79 tok
question
Compute 493 + 409, 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: neuf cent deux
correctmultilingual.numword-v2conf 100% · 311ms · $0.002 · 62 tok
question
Compute 356 + 239, 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 noventa y cinco
correctmultilingual.wordnum-v1conf 100% · 420ms · $0.001 · 16 tok
question
A number is written in French: « cinq cent soixante ». Another is written in Spanish: « seiscientos 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: 1162
correctmultilingual.wordnum-v1conf 100% · 480ms · $0.001 · 15 tok
question
A number is written in French: « sept cent quarante-trois ». Another is written in Spanish: « novecientos 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: -236
correctmultilingual.wordnum-v1conf 100% · 399ms · $0.001 · 15 tok
question
A number is written in French: « neuf cent dix-huit ». Another is written in Spanish: « ciento dieciséis ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 802
correctmultilingual.numword-v2conf 100% · 332ms · $0.002 · 63 tok
question
Compute 74 + 154, 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 veintiocho
correctmultilingual.numword-v2conf 100% · 416ms · $0.003 · 72 tok
question
Compute 441 + 370, 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 once
correctmultilingual.wordnum-v1conf 100% · 651ms · $0.001 · 15 tok
question
A number is written in French: « six cent huit ». Another is written in Spanish: « ciento noventa 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: 412
correctmultilingual.numword-v2conf 100% · 2.4s · $0.003 · 84 tok
question
Compute 145 + 100, 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 cuarenta y cinco
correctmultilingual.wordnum-v1conf 100% · 400ms · $0.001 · 15 tok
question
A number is written in French: « trois cent quatre ». Another is written in Spanish: « setecientos ochenta 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: -485
correctmultilingual.wordnum-v1conf 100% · 2.2s · $0.001 · 15 tok
question
A number is written in French: « six cent onze ». Another is written in Spanish: « ciento setenta y dos ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 783
correctmultilingual.numword-v2anchorconf 100% · 383ms · $0.003 · 74 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.numword-v2conf 100% · 421ms · $0.002 · 65 tok
question
Compute 144 + 188, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos treinta y dos
correctmultilingual.wordnum-v1anchorconf 100% · 372ms · $0.001 · 15 tok
model answer: 150
correctmultilingual.wordnum-v1anchorconf 100% · 508ms · $0.001 · 15 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 100% · 451ms · $0.002 · 57 tok
model answer: seiscientos ocho
reasoning 29/30 correct
correctreasoning.deduction.position-v1conf 100% · 597ms · $0.001 · 14 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 1 in the queue. Priya is directly ahead of Jonas. Jonas is directly ahead of Hana. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 100% · 289ms · $0.004 · 112 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is faster than Quinn. Priya is faster than Liam. Dara is faster than Rosa. Chen is faster than Dara. Quinn is faster than Priya. Liam is faster than Rosa. Dara is faster than Nadir. Priya is faster than Rosa. Mona is older than everyone here, but Mona is not being ranked. Chen is faster than Priya. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.position-v1conf 100% · 2.8s · $0.001 · 15 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Sami. Goran is directly ahead of Priya. Sami is number 4 in the queue. Rosa is directly ahead of Goran. 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.order-v2conf 100% · 382ms · $0.005 · 124 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Quinn is taller than Mona. Jonas is taller than Mona. Priya is taller than Quinn. Sami is taller than Mona. Quinn is taller than Sami. Priya is taller than Bruno. Goran is older than everyone here, but Goran is not being ranked. Bruno is taller than Jonas. Jonas is taller than Quinn. Ines is taller than Priya. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 100% · 621ms · $0.001 · 14 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Bruno. Farah is directly ahead of Quinn. Priya is directly ahead of Farah. Bruno is number 4 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
correctreasoning.deduction.order-v2conf 100% · 1.0s · $0.004 · 120 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Farah. Quinn is heavier than Dara. Quinn is heavier than Chen. Farah is heavier than Kira. Rosa is heavier than Farah. Dara is heavier than Rosa. Jonas is faster than everyone here, but Jonas is not being ranked. Dara is heavier than Chen. Hana is heavier than Quinn. Chen is heavier than Rosa. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 423ms · $0.003 · 89 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 2 in the queue. Ines is directly ahead of Ola. Dara 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% · 372ms · $0.003 · 83 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Mona. Emil is faster than everyone here, but Emil is not being ranked. Dara is older than Mona. Dara is older than Ines. Ines is older than Goran. Hana is older than Dara. Goran is older than Mona. Mona is older than Priya. Ines is older than Mona. Rosa is older than Hana. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.order-v2conf 100% · 566ms · $0.003 · 82 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Dara. Quinn is older than everyone here, but Quinn is not being ranked. Liam is heavier than Sami. Kira is heavier than Chen. Emil is heavier than Chen. Farah is heavier than Kira. Chen is heavier than Dara. Sami is heavier than Farah. Kira is heavier than Emil. Kira is heavier than Dara. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 100% · 305ms · $0.001 · 15 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Quinn. Quinn is number 3 in the queue. Kira 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: Kira
correctreasoning.deduction.order-v2conf 100% · 388ms · $0.004 · 98 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Nadir. Hana is older than Farah. Farah is older than Bruno. Priya is older than Quinn. Quinn is older than Hana. Nadir is older than Farah. Rosa is heavier than everyone here, but Rosa is not being ranked. Nadir is older than Priya. Hana is older than Bruno. Ines is older than Hana. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.position-v1conf 100% · 595ms · $0.002 · 59 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Farah. Dara is directly ahead of Goran. Farah is number 2 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.order-v2conf 100% · 400ms · $0.004 · 96 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Quinn. Farah is faster than Quinn. Dara is faster than Jonas. Liam is faster than Farah. Jonas is faster than Sami. Farah is faster than Hana. Hana is faster than Quinn. Alice is older than everyone here, but Alice is not being ranked. Sami is faster than Liam. Sami is faster than Hana. 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: Jonas
correctreasoning.deduction.position-v1conf 100% · 502ms · $0.003 · 77 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Emil. Ines is directly ahead of Liam. Emil is number 4 in the queue. Liam 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: Ines
correctreasoning.deduction.position-v1conf 100% · 343ms · $0.001 · 15 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Nadir. Nadir is directly ahead of Liam. Kira is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.order-v2conf 100% · 343ms · $0.004 · 91 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is heavier than Jonas. Tessa is heavier than Nadir. Nadir is heavier than Priya. Mona is heavier than Tessa. Nadir is heavier than Rosa. Tessa is heavier than Jonas. Bruno is older than everyone here, but Bruno is not being ranked. Mona is heavier than Jonas. Ines is heavier than Mona. Priya is heavier than Rosa. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 100% · 285ms · $0.004 · 111 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Ines. Alice is faster than Ola. Alice is faster than Nadir. Priya is faster than Liam. Quinn is faster than Ola. Quinn is faster than Ines. Ola is faster than Ines. Dara is taller than everyone here, but Dara is not being ranked. Liam is faster than Alice. Nadir is faster than Quinn. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
correctreasoning.deduction.position-v1conf 100% · 574ms · $0.001 · 17 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 4 in the queue. Jonas is directly ahead of Rosa. Sami is directly ahead of Jonas. 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: Jonas
wrongreasoning.deduction.position-v1conf 100% · 336ms · $0.001 · 17 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Ola. Ola is directly ahead of Hana. Dara is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.position-v1conf 100% · 290ms · $0.001 · 14 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Ola. Ola is directly ahead of Goran. Jonas is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.order-v2conf 100% · 385ms · $0.003 · 81 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is heavier than Sami. Kira is heavier than Sami. Sami is heavier than Priya. Dara is older than everyone here, but Dara is not being ranked. Farah is heavier than Kira. Sami is heavier than Jonas. Jonas is heavier than Priya. Alice is heavier than Farah. Hana is heavier than Alice. Hana is heavier 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: Farah
correctreasoning.deduction.order-v2conf 100% · 482ms · $0.004 · 124 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Jonas. Chen is faster than Sami. Alice is faster than Chen. Hana is heavier than everyone here, but Hana is not being ranked. Tessa is faster than Alice. Sami is faster than Mona. Tessa is faster than Chen. Mona is faster than Jonas. Emil is faster than Jonas. Mona is faster than Emil. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 100% · 1.6s · $0.001 · 18 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Chen. Priya is directly ahead of Tessa. Quinn is directly ahead of Priya. Chen is number 4 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 434ms · $0.005 · 126 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Sami. Sami is older than Chen. Goran is older than Chen. Ines is older than Chen. Sami is older than Quinn. Tessa is older than Goran. Dara is heavier than everyone here, but Dara is not being ranked. Quinn is older than Ines. Priya is older than Sami. Goran is older 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: Ines
correctreasoning.deduction.order-v2conf 100% · 428ms · $0.004 · 93 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Liam. Goran is heavier than Alice. Farah is heavier than Alice. Farah is heavier than Priya. Liam is heavier than Emil. Alice is heavier than Nadir. Emil is heavier than Goran. Emil is heavier than Alice. Hana is taller than everyone here, but Hana is not being ranked. Goran is heavier than Nadir. 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: Liam
correctreasoning.deduction.position-v1anchorconf 100% · 582ms · $0.001 · 14 tok
model answer: Quinn
correctreasoning.deduction.position-v1conf 100% · 319ms · $0.001 · 18 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Nadir. Nadir is number 2 in the queue. Chen is directly ahead of Ines. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Goran
correctreasoning.deduction.order-v2anchorconf 100% · 365ms · $0.004 · 110 tok
model answer: Mona
correctreasoning.deduction.order-v2anchorconf 100% · 982ms · $0.004 · 115 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 337ms · $0.003 · 76 tok
model answer: Farah
terminal 29/30 correct
correctterminal.exit.chain-v1conf 100% · 496ms · $0.004 · 91 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E G exit:1
correctterminal.fs.tree-v1conf 100% · 336ms · $0.004 · 83 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/conf`):

```
/proj/build/draft.cfg
/proj/index.log
/proj/main.log
/proj/src/notes.md
/proj/src/report.log
```

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

```sh
mkdir -p build/src-1
mkdir -p conf/docs-9
rm main.log
rm src/report.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft.cfg /proj/index.log /proj/src/notes.md
correctterminal.pipeline.predict-v1conf 100% · 353ms · $0.003 · 57 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,sales,7,58
gus,hr,31,17
lou,legal,84,50
dev,legal,68,13
bo,eng,30,18
max,legal,34,41
fay,eng,72,24
cy,legal,110,76
oli,eng,86,42
ned,hr,77,61
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: gus,hr,31,17 ned,hr,77,61
correctterminal.fs.tree-v1conf 100% · 366ms · $0.013 · 384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/assets`, `/proj/logs`):

```
/proj/assets/draft.log
/proj/assets/report.cfg
/proj/index.txt
/proj/logs/util.cfg
/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
cp assets/report.cfg src/
cd .
mkdir -p assets/conf-8
rm assets/draft.log
touch logs/report-8.log
mkdir -p logs/logs-8
mv src/report.cfg src/
mkdir -p assets/docs-4
cd logs
cp ../../proj/src/report.cfg ../../proj/assets/conf-8/
cd ../../proj/assets
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/conf-8/report.cfg /proj/assets/report.cfg /proj/index.txt /proj/logs/report-8.log /proj/logs/util.cfg /proj/main.txt /proj/src/report.cfg
correctterminal.exit.chain-v1conf 100% · 481ms · $0.005 · 124 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E G exit:1
correctterminal.pipeline.predict-v1conf 100% · 501ms · $0.003 · 48 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,sales,117,40
gus,eng,56,31
ned,hr,111,64
max,legal,47,44
fay,eng,99,49
kim,eng,45,58
bo,ops,57,58
cy,sales,113,13
jon,eng,95,68
dev,ops,40,68
ivy,sales,113,27
lou,sales,36,50
oli,legal,88,92
eli,hr,100,82
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 53 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.fs.tree-v1conf 100% · 1.1s · $0.009 · 247 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/src`):

```
/proj/docs/report.md
/proj/index.md
/proj/logs/setup.cfg
/proj/logs/todo.log
/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
rm logs/todo.log
mkdir -p docs/conf-1
touch logs/notes-7.md
touch src/setup-5.log
cp docs/report.md docs/conf-1/
cd logs
touch ../../proj/src/main-3.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/docs/conf-1/report.md /proj/docs/report.md /proj/index.md /proj/logs/notes-7.md /proj/logs/setup.cfg /proj/notes.log /proj/src/main-3.log /proj/src/setup-5.log
correctterminal.exit.chain-v1conf 100% · 299ms · $0.004 · 87 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F G Z exit:0
wrongterminal.pipeline.predict-v1conf 100% · 704ms · $0.004 · 91 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,sales,117,64
fay,eng,79,38
dev,legal,82,16
ned,legal,28,11
ana,ops,94,59
oli,hr,62,70
kim,sales,119,83
max,sales,3,97
eli,ops,53,28
cy,eng,87,12
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 68 { 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.exit.chain-v1conf 100% · 314ms · $0.003 · 56 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
true && echo A || echo B
false && 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: A D F Z exit:0
correctterminal.fs.tree-v1conf 100% · 281ms · $0.009 · 262 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/src`, `/proj/docs`):

```
/proj/assets/notes.cfg
/proj/docs/todo.md
/proj/setup.md
/proj/src/draft.txt
/proj/util.cfg
```

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

```sh
mkdir -p assets/build-6
touch assets/setup-3.log
cd docs
mkdir -p ../../proj/src/build-7
cd .
rm ../../proj/util.cfg
rm ../../proj/assets/setup-3.log
cp ../../proj/assets/notes.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/assets/notes.cfg /proj/docs/todo.md /proj/notes.cfg /proj/setup.md /proj/src/draft.txt
correctterminal.exit.chain-v1conf 100% · 405ms · $0.004 · 91 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 972ms · $0.002 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,legal,57,39
oli,ops,14,10
ana,eng,45,42
ivy,ops,48,18
lou,eng,61,44
kim,hr,16,37
eli,sales,15,84
dev,sales,83,37
pam,hr,118,17
ned,ops,58,51
jon,sales,72,90
```

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: 57
correctterminal.fs.tree-v1conf 100% · 485ms · $0.011 · 329 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/build`):

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

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

```sh
touch conf/main-6.txt
cd src
mkdir -p src-9
touch ../../proj/conf/main-5.log
cd ../../proj/build
mv ../../proj/conf/index.cfg ../../proj/conf/notes-9.log
cd ../../proj/src
touch ../../proj/build/report-3.log
mv ../../proj/draft.txt src-9/
cd ../../proj
cp conf/main-5.log src/src-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: /proj/build/notes.md /proj/build/report-3.log /proj/build/setup.log /proj/conf/main-5.log /proj/conf/main-6.txt /proj/conf/notes-9.log /proj/src/src-9/draft.txt /proj/src/src-9/main-5.log /proj/util.log
correctterminal.pipeline.predict-v1conf 100% · 483ms · $0.003 · 60 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,eng,16,81
lou,ops,89,58
cy,eng,77,81
pam,sales,74,86
bo,sales,106,17
ana,ops,105,58
fay,legal,42,27
ned,hr,23,42
max,hr,44,10
jon,legal,94,43
kim,sales,26,96
eli,hr,115,95
oli,sales,13,85
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cy,77 dev,16
correctterminal.fs.tree-v1conf 100% · 554ms · $0.010 · 279 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/docs`):

```
/proj/docs/draft.txt
/proj/docs/todo.md
/proj/docs/util.cfg
/proj/main.cfg
/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
rm docs/draft.txt
cd docs
rm ../../proj/main.cfg
cd ../../proj
touch src/index-8.log
touch setup-3.txt
rm docs/todo.md
cd docs
mv ../../proj/notes.log ../../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/docs/util.cfg /proj/notes.log /proj/setup-3.txt /proj/src/index-8.log
correctterminal.exit.chain-v1conf 100% · 305ms · $0.004 · 104 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

`notes.txt` contains exactly the words: amber, 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 app.txt && echo E || echo F
test -f app.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E G exit:1
correctterminal.pipeline.predict-v1conf 100% · 299ms · $0.004 · 88 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,legal,54,10
fay,sales,5,10
kim,legal,101,36
pam,eng,14,26
cy,ops,37,85
bo,eng,65,39
gus,hr,54,66
max,legal,120,14
oli,eng,14,80
ned,sales,10,67
jon,sales,79,76
ivy,legal,43,21
ana,ops,63,62
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: kim,legal,101,36 max,legal,120,14
correctterminal.exit.chain-v1conf 100% · 364ms · $0.004 · 82 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E H exit:1
correctterminal.fs.tree-v1conf 100% · 546ms · $0.009 · 265 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/docs/main.md
/proj/logs/draft.txt
/proj/logs/index.md
/proj/notes.txt
/proj/report.txt
```

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

```sh
cp notes.txt logs/
mv report.txt draft-9.log
cp draft-9.log conf/
touch logs/util-9.cfg
mv logs/index.md docs/
cp logs/draft.txt docs/
cd docs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/draft-9.log /proj/docs/draft.txt /proj/docs/index.md /proj/docs/main.md /proj/draft-9.log /proj/logs/draft.txt /proj/logs/notes.txt /proj/logs/util-9.cfg /proj/notes.txt
correctterminal.fs.tree-v1conf 100% · 335ms · $0.014 · 436 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/logs`):

```
/proj/docs/index.txt
/proj/docs/main.log
/proj/draft.md
/proj/logs/notes.cfg
/proj/report.log
```

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

```sh
mv docs/index.txt logs/
mv report.log ./
rm logs/notes.cfg
mkdir -p logs/assets-3
cd build
rm ../../proj/report.log
touch notes-4.md
cd ../../proj/logs
mv index.txt draft-4.cfg
cd ../../proj/build
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/notes-4.md /proj/docs/main.log /proj/draft.md /proj/logs/draft-4.cfg
correctterminal.pipeline.predict-v1conf 100% · 331ms · $0.003 · 47 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,legal,47,72
dev,legal,9,99
gus,ops,56,29
lou,eng,33,30
eli,hr,65,16
kim,sales,117,31
oli,ops,49,98
ivy,eng,75,37
jon,eng,38,52
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 59 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.exit.chain-v1conf 100% · 536ms · $0.005 · 109 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 tmp.txt && echo A || echo B
true && echo C || echo D
grep -q basil 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: B C E H Z exit:0
correctterminal.fs.tree-v1conf 100% · 417ms · $0.005 · 139 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/conf`, `/proj/src`):

```
/proj/conf/index.cfg
/proj/conf/report.md
/proj/draft.cfg
/proj/logs/todo.log
/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
mkdir -p conf/assets-9
rm draft.cfg
mv conf/report.md src/
rm conf/index.cfg
touch src/index-3.cfg
cp src/report.md conf/assets-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: /proj/conf/assets-9/report.md /proj/logs/todo.log /proj/notes.cfg /proj/src/index-3.cfg /proj/src/report.md
correctterminal.pipeline.predict-v1conf 100% · 352ms · $0.003 · 58 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,sales,16,76
dev,eng,28,62
eli,hr,66,48
ned,sales,59,40
pam,legal,13,47
hal,eng,69,77
oli,eng,46,43
ivy,ops,4,76
lou,hr,80,79
cy,ops,119,65
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: eli,hr,66,48 lou,hr,80,79
correctterminal.exit.chain-v1conf 100% · 534ms · $0.004 · 86 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E G exit:1
correctterminal.exit.chain-v1anchorconf 100% · 519ms · $0.003 · 59 tok
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1anchorconf 100% · 318ms · $0.004 · 98 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.fs.tree-v1anchorconf 100% · 343ms · $0.008 · 234 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% · 317ms · $0.003 · 49 tok
model answer: 1
vision ocr 28/30 correct
correctvision.ocr.table-read-v1conf 100% · 426ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 71
correctvision.ocr.table-read-v1conf 100% · 735ms · $0.006 · 47 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 150
correctvision.ocr.code-hunt-v1conf 99% · 319ms · $0.005 · 19 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: UHTH9TJU
correctvision.ocr.code-hunt-v1conf 99% · 412ms · $0.005 · 19 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PX3JYRYW
correctvision.ocr.table-read-v1conf 100% · 467ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 63
wrongvision.ocr.code-hunt-v1conf 99% · 754ms · $0.005 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: JUANUM3
correctvision.ocr.table-read-v1conf 100% · 288ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctvision.ocr.table-read-v1conf 100% · 745ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 52
correctvision.ocr.code-hunt-v1conf 99% · 541ms · $0.005 · 18 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 337FNW9
correctvision.ocr.table-read-v1conf 100% · 2.0s · $0.006 · 54 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 201
correctvision.ocr.code-hunt-v1conf 100% · 384ms · $0.005 · 19 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CE3YH4VT
correctvision.ocr.code-hunt-v1conf 100% · 835ms · $0.005 · 18 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: M4Y4NU
correctvision.ocr.table-read-v1conf 100% · 412ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 63
correctvision.ocr.table-read-v1conf 100% · 506ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 212
correctvision.ocr.code-hunt-v1conf 99% · 490ms · $0.005 · 16 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DYMPHP
correctvision.ocr.table-read-v1conf 100% · 345ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 51
wrongvision.ocr.code-hunt-v1conf 98% · 369ms · $0.022 · 594 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 9CR3AA3
correctvision.ocr.code-hunt-v1conf 99% · 656ms · $0.005 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: UKNN9M
correctvision.ocr.code-hunt-v1conf 99% · 365ms · $0.005 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FCCP9D
correctvision.ocr.table-read-v1conf 100% · 298ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 129
correctvision.ocr.code-hunt-v1conf 99% · 1.2s · $0.006 · 75 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: P7UJU7
correctvision.ocr.table-read-v1conf 100% · 533ms · $0.006 · 53 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 184
correctvision.ocr.table-read-v1conf 100% · 324ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 147
correctvision.ocr.code-hunt-v1conf 99% · 407ms · $0.005 · 17 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ENXVTRX
correctvision.ocr.code-hunt-v1conf 99% · 498ms · $0.005 · 18 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 9EJDDE
correctvision.ocr.table-read-v1conf 100% · 419ms · $0.005 · 15 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 18
correctvision.ocr.table-read-v1anchorconf 100% · 568ms · $0.005 · 15 tok
model answer: 15
correctvision.ocr.table-read-v1anchorconf 100% · 1.2s · $0.005 · 15 tok
model answer: 25
correctvision.ocr.code-hunt-v1anchorconf 99% · 424ms · $0.005 · 17 tok
model answer: VX7993D
correctvision.ocr.code-hunt-v1anchorconf 99% · 988ms · $0.005 · 20 tok
model answer: YH9E4AWP

Run history

  • 2026-08-05v0.2.0index_fit805
  • 2026-08-05v0.2.0index_fit805
  • 2026-08-05v0.2.0index_fit805
  • 2026-08-05v0.2.0index_fit806
  • 2026-08-05v0.2.0index_fit806
  • 2026-08-05v0.2.0index_fit808
  • 2026-08-05v0.2.0index_fit801