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DeepSeek: DeepSeek V3.2 Exp
deepseek/deepseek-v3.2-exp · deepseek · context 163 840 · in $0.270/1M · out $0.410/1M
Global Index
620
95% CI [578–662] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 774 [669–880] | 0.695 | 0.82 | 0.85 | 0.000 | 1.3s | $0.385 | |
| code | 338 [254–423] | 0.290 | 0.75 | 0.52 | 0.288 | 1.3s | $0.103 | |
| instruction following | 349 [262–437] | 0.301 | 0.77 | 0.54 | 0.250 | 1.1s | $0.050 | |
| knowledge | 725 [553–897] | 0.546 | 0.98 | 1.00 | 0.000 | 1.1s | $0.027 | |
| math | 840 [689–991] | 0.743 | 0.97 | 0.99 | 0.000 | 1.4s | $0.117 | |
| multilingual | 593 [477–708] | 0.385 | 0.90 | 0.77 | 0.000 | 1.4s | $0.048 | |
| reasoning | 481 [361–601] | 0.450 | 0.87 | 0.81 | 0.269 | 1.3s | $0.154 | |
| terminal | 858 [769–948] | 0.826 | 0.97 | 0.97 | 0.038 | 1.4s | $0.224 |
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 25/30 correct
correctagentic.tools.context-load-v1conf 100% · 1.1s · $0.001 · 1291 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 (191 records, format: id|customer|region|item|qty|status):
```
1503|gale|south|frame|36|held
1559|acme|west|gasket|23|shipped
1149|juno|south|cable|42|pending
1041|ember|east|rotor|90|paid
1444|harbor|east|gasket|76|shipped
1205|gale|east|panel|93|pending
1313|cobalt|west|pump|33|pending
1666|gale|east|panel|56|held
1513|juno|west|sensor|86|held
1647|harbor|south|pump|42|pending
1094|dorian|west|cable|61|held
1456|fulton|west|gasket|62|pending
1217|ionic|north|rotor|20|paid
1530|birch|east|cable|93|paid
1653|juno|north|sensor|32|pending
1016|ember|north|panel|92|pending
1745|harbor|north|panel|13|shipped
1394|birch|north|cable|76|shipped
1126|juno|north|gasket|44|shipped
1013|ember|east|gasket|74|pending
1418|juno|east|panel|58|held
1644|ionic|east|pump|42|pending
1120|gale|east|sensor|22|pending
1368|gale|south|rotor|79|pending
1197|ember|west|rotor|49|pending
1108|fulton|west|panel|22|shipped
1113|juno|north|frame|21|held
1693|dorian|east|frame|70|pending
1070|birch|east|gasket|57|shipped
1681|gale|south|pump|37|pending
1259|cobalt|east|frame|38|shipped
1095|gale|east|valve|66|shipped
1453|ionic|east|rotor|29|pending
1535|cobalt|north|sensor|63|paid
1276|birch|north|panel|58|held
1021|ember|east|valve|48|pending
1721|cobalt|east|cable|44|shipped
1448|cobalt|south|cable|90|shipped
1059|gale|west|valve|43|pending
1109|dorian|west|rotor|73|paid
1143|dorian|north|valve|64|paid
1405|harbor|south|rotor|19|paid
1607|gale|west|cable|38|shipped
1018|ember|east|rotor|34|held
1415|ionic|south|valve|32|held
1223|birch|north|rotor|74|paid
1237|fulton|east|cable|73|held
1397|juno|south|rotor|49|held
1705|acme|north|frame|64|paid
1116|acme|east|sensor|61|paid
1629|dorian|west|cable|55|shipped
1211|fulton|east|cable|34|pending
1345|ionic|south|valve|58|paid
1702|ember|east|rotor|77|paid
1490|ionic|east|panel|92|paid
1710|birch|east|sensor|49|pending
1192|juno|south|panel|38|held
1407|juno|south|pump|97|shipped
1331|juno|north|panel|81|pending
1541|ember|east|frame|29|shipped
1027|ember|north|gasket|35|pending
1291|fulton|east|valve|58|held
1734|dorian|west|rotor|86|paid
1362|juno|south|sensor|11|pending
1667|gale|west|frame|49|paid
1484|juno|east|sensor|34|held
1068|dorian|north|rotor|84|held
1244|ember|east|gasket|17|shipped
1632|ember|east|sensor|49|held
1193|juno|south|pump|55|pending
1140|ionic|north|cable|31|paid
1326|birch|east|rotor|57|shipped
1738|acme|north|gasket|99|pending
1266|juno|south|sensor|74|shipped
1552|cobalt|south|panel|22|held
1637|fulton|south|panel|45|held
1675|ember|west|cable|97|held
1064|ionic|south|frame|89|held
1252|gale|north|frame|23|pending
1611|fulton|east|cable|96|shipped
1431|harbor|east|pump|84|shipped
1161|ember|west|panel|70|held
1687|harbor|west|pump|24|shipped
1391|cobalt|east|valve|80|pending
1520|acme|west|panel|85|paid
1558|harbor|west|gasket|73|pending
1659|birch|east|panel|24|paid
1169|ionic|east|gasket|32|held
1579|ionic|south|sensor|49|paid
1049|ember|south|pump|94|paid
1173|ionic|west|pump|15|shipped
1054|juno|east|pump|31|paid
1619|ionic|north|rotor|54|shipped
1253|birch|east|pump|59|held
1401|juno|north|pump|36|held
1437|cobalt|west|rotor|67|paid
1078|birch|north|pump|94|held
1184|fulton|north|sensor|75|pending
1388|gale|west|valve|66|shipped
1414|ember|north|valve|63|pending
1254|birch|west|valve|24|shipped
1107|ionic|west|pump|34|held
1189|acme|west|pump|18|paid
1101|acme|west|pump|74|shipped
1085|ember|east|valve|16|paid
1457|gale|west|cable|22|paid
1551|ember|south|rotor|87|held
1265|cobalt|east|frame|62|held
1499|gale|south|panel|68|held
1340|ember|east|valve|26|held
1533|birch|south|valve|63|paid
1488|dorian|west|cable|73|pending
1167|gale|north|pump|58|shipped
1179|fulton|south|cable|55|pending
1654|birch|north|rotor|62|shipped
1353|juno|south|valve|15|held
1297|fulton|north|valve|31|held
1755|ember|east|gasket|30|held
1480|cobalt|west|rotor|58|pending
1318|ember|west|rotor|11|held
1315|juno|east|panel|66|shipped
1280|harbor|east|cable|19|held
1311|cobalt|south|panel|12|held
1308|harbor|south|rotor|18|pending
1278|ionic|south|pump|53|shipped
1646|ember|north|cable|25|shipped
1452|juno|south|rotor|26|paid
1209|dorian|east|cable|28|paid
1032|ember|east|frame|33|pending
1028|ember|east|cable|11|paid
1342|birch|south|pump|93|held
1425|harbor|east|cable|54|held
1212|birch|west|rotor|11|paid
1364|acme|west|valve|11|pending
1618|juno|north|cable|75|paid
1493|dorian|west|frame|52|shipped
1572|ember|west|pump|70|pending
1284|fulton|west|sensor|10|held
1374|harbor|east|gasket|54|held
1274|acme|south|cable|65|paid
1317|cobalt|south|cable|94|pending
1713|ember|north|cable|84|shipped
1661|birch|north|pump|29|shipped
1723|ember|north|panel|21|paid
1381|acme|east|rotor|62|paid
1606|harbor|east|pump|11|paid
1674|gale|south|frame|28|pending
1130|ember|north|cable|35|shipped
1037|ember|west|gasket|98|pending
1749|ionic|east|cable|22|paid
1696|cobalt|east|valve|11|pending
1544|dorian|north|gasket|88|shipped
1600|ember|east|sensor|87|held
1464|ionic|south|cable|57|shipped
1076|acme|east|pump|76|shipped
1542|fulton|west|cable|22|held
1083|dorian|east|gasket|57|pending
1624|gale|east|pump|48|pending
1598|ionic|south|frame|27|paid
1720|juno|west|cable|30|shipped
1213|dorian|north|panel|82|shipped
1390|dorian|east|panel|79|shipped
1758|fulton|south|gasket|47|paid
1508|dorian|north|panel|65|paid
1304|dorian|south|pump|45|shipped
1565|birch|east|valve|18|held
1334|gale|south|frame|26|pending
1271|harbor|south|frame|79|paid
1590|acme|south|gasket|85|pending
1357|fulton|south|gasket|23|pending
1462|harbor|east|pump|19|pending
1753|birch|east|rotor|80|pending
1586|juno|east|rotor|13|pending
1467|acme|west|sensor|56|held
1730|ember|east|gasket|37|held
1524|acme|east|rotor|25|shipped
1090|ionic|north|pump|32|pending
1594|cobalt|north|valve|22|pending
1044|acme|south|panel|75|paid
1669|fulton|south|gasket|59|shipped
1322|ionic|east|panel|66|pending
1466|harbor|north|pump|99|shipped
1230|gale|west|sensor|36|paid
1135|harbor|east|panel|86|held
1348|acme|west|valve|32|pending
1065|dorian|north|frame|32|pending
1202|ember|east|panel|28|shipped
1250|cobalt|south|panel|66|held
1474|acme|west|rotor|84|paid
1156|ionic|east|gasket|63|held
1238|ember|east|cable|47|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 61, 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": 74}},
{"tool": "cancel_order", "args": {"order_id": 1021}},
{"tool": "cancel_order", "args": {"order_id": 1032}}
]wrongagentic.tools.ledger-v1conf 95% · 1.8s · $0.000 · 150 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: $620
- echo: $348
- lima: $520
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $221 from "oscar" to "echo"
2. pay $235 from "echo" to "oscar"
3. pay $267 from "oscar" to "echo"
4. pay $339 from "oscar" to "lima"
5. pay $420 from "oscar" 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": "oscar", "to": "echo", "amount": 221}},
{"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 235}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 267}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 6}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 339}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 420}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 420}}
]correctagentic.tools.ledger-v1conf 100% · 1.4s · $0.000 · 621 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $438
- tango: $861
- lima: $570
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $272 from "delta" to "lima"
2. pay $117 from "tango" to "delta"
3. pay $476 from "delta" to "lima"
4. pay $506 from "tango" to "delta"
5. pay $251 from "lima" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 272}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 117}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 193}},
{"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 476}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 506}},
{"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 251}}
]correctagentic.tools.triage-v1conf 100% · 810ms · $0.000 · 189 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → okafor
- data → rivera
- payments → dubois
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 3)
2. "records missing after import" (category: data, priority 4)
3. "records missing after import" (category: data, 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": "webhooks not delivered", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.context-load-v1conf 95% · 1.2s · $0.001 · 380 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 (158 records, format: id|customer|region|item|qty|status):
```
1647|fulton|south|sensor|45|paid
1428|birch|north|cable|47|pending
1878|birch|west|pump|91|paid
1941|ionic|north|gasket|63|held
1524|gale|north|frame|29|held
1759|cobalt|south|sensor|75|held
1608|gale|south|cable|71|paid
1823|juno|west|rotor|68|pending
1544|acme|east|sensor|94|pending
1784|birch|east|pump|86|pending
1933|ember|west|cable|55|paid
1575|birch|west|gasket|90|pending
1720|gale|north|frame|91|shipped
1654|gale|east|panel|47|pending
1492|fulton|north|panel|24|pending
1722|birch|east|gasket|79|paid
1871|ionic|south|sensor|76|pending
1613|cobalt|south|gasket|77|shipped
1806|ember|south|sensor|97|paid
1549|acme|west|pump|39|pending
1423|birch|east|frame|62|paid
1636|harbor|south|frame|30|pending
1906|harbor|south|frame|54|shipped
1537|juno|west|gasket|21|held
1626|acme|south|gasket|89|paid
1441|fulton|west|frame|71|pending
1404|birch|east|rotor|39|pending
1868|ember|east|pump|34|pending
1559|acme|east|gasket|15|shipped
1846|ember|east|gasket|90|shipped
1973|dorian|north|cable|34|pending
1875|ionic|east|sensor|88|held
1949|ember|west|cable|79|held
1677|ember|east|valve|85|shipped
1898|gale|south|valve|42|paid
1918|ember|west|panel|13|pending
1765|ember|east|sensor|15|held
1795|ionic|north|panel|18|pending
1591|cobalt|west|valve|49|held
1477|ember|east|pump|42|paid
1543|cobalt|south|gasket|16|paid
1619|harbor|south|pump|58|pending
1946|acme|south|panel|49|held
1928|ionic|north|panel|57|pending
1954|birch|south|gasket|17|pending
1420|birch|west|pump|70|pending
1956|harbor|west|sensor|20|pending
1990|gale|south|cable|38|shipped
1921|harbor|south|pump|31|paid
1792|ionic|east|panel|74|pending
1753|harbor|west|panel|98|pending
1529|acme|south|panel|58|shipped
1767|juno|east|pump|49|shipped
1580|dorian|north|gasket|56|pending
1760|birch|north|valve|66|pending
1412|birch|east|gasket|53|held
1597|fulton|east|sensor|37|pending
1416|birch|east|pump|57|pending
1907|birch|west|cable|22|paid
1849|birch|north|valve|80|held
1700|ionic|north|pump|24|held
1998|dorian|east|frame|66|paid
1461|birch|west|pump|98|shipped
1841|birch|west|gasket|63|pending
1493|birch|east|frame|92|shipped
1743|dorian|north|panel|37|held
1648|cobalt|north|frame|53|paid
1816|cobalt|south|pump|35|held
1467|juno|east|frame|22|held
1439|juno|east|gasket|25|held
1983|ionic|east|panel|77|paid
1454|acme|east|valve|60|shipped
1852|juno|south|gasket|69|shipped
1800|cobalt|north|pump|67|shipped
1911|juno|north|sensor|12|pending
1511|gale|south|panel|31|held
1716|gale|east|valve|77|pending
1489|acme|north|pump|65|held
1971|ionic|south|gasket|86|pending
1802|fulton|east|gasket|16|pending
1686|juno|south|cable|70|pending
1533|acme|north|panel|17|pending
1847|juno|north|sensor|13|held
1851|ionic|south|gasket|89|paid
1548|ember|south|cable|99|shipped
1772|birch|south|valve|97|shipped
1540|cobalt|north|gasket|54|pending
1980|acme|north|panel|89|paid
1504|acme|north|gasket|49|pending
1690|harbor|south|pump|37|pending
1455|fulton|west|panel|12|held
1699|birch|south|sensor|70|shipped
1586|cobalt|south|sensor|56|shipped
1943|acme|west|panel|76|held
1747|juno|west|pump|51|shipped
1643|ember|east|panel|97|paid
1662|juno|north|cable|80|paid
1899|dorian|east|gasket|90|shipped
1657|ionic|north|panel|66|held
1554|ember|north|frame|54|paid
1448|harbor|west|frame|67|shipped
1484|gale|west|frame|76|held
1517|cobalt|south|valve|92|pending
1960|gale|north|cable|71|paid
1939|ionic|east|gasket|46|held
1408|birch|north|valve|75|pending
1894|ionic|west|cable|94|shipped
1603|fulton|east|pump|85|shipped
1859|acme|north|panel|15|pending
1572|dorian|north|frame|85|shipped
1838|gale|north|cable|47|shipped
1664|juno|west|sensor|39|pending
1777|ionic|south|rotor|25|pending
1739|gale|south|pump|94|shipped
1877|harbor|north|panel|90|held
1755|ionic|north|valve|36|paid
1632|ember|east|panel|11|shipped
1967|ionic|east|panel|60|shipped
1726|ember|south|valve|74|paid
1693|acme|north|panel|86|shipped
1801|fulton|west|gasket|76|paid
1812|birch|north|rotor|11|held
1839|gale|south|sensor|97|shipped
1576|harbor|north|valve|79|paid
1756|dorian|west|panel|71|shipped
1785|ember|west|pump|71|pending
1831|ionic|east|frame|30|held
1914|juno|south|sensor|14|pending
1993|acme|west|rotor|95|paid
1535|juno|east|frame|51|pending
1862|dorian|north|frame|86|paid
1435|birch|east|rotor|66|held
1778|harbor|south|valve|82|held
1710|ionic|west|valve|19|shipped
1890|harbor|north|frame|24|pending
1687|gale|south|cable|84|pending
1562|fulton|west|panel|36|held
1729|acme|west|panel|69|shipped
1858|juno|east|panel|10|pending
1676|ionic|east|cable|80|shipped
1684|juno|west|sensor|40|pending
1935|ionic|east|gasket|61|paid
1708|juno|south|panel|28|held
1502|ionic|east|pump|71|pending
1706|cobalt|east|gasket|59|paid
1569|birch|south|gasket|81|shipped
1932|gale|west|sensor|36|shipped
1987|ionic|east|cable|54|held
1884|cobalt|east|panel|64|paid
1669|juno|west|gasket|17|shipped
1425|birch|east|panel|66|pending
1733|ionic|south|rotor|63|pending
1670|gale|west|panel|48|shipped
1835|dorian|east|valve|82|shipped
1828|harbor|west|pump|21|paid
2005|juno|east|pump|36|pending
1496|harbor|north|valve|58|held
1473|ember|west|sensor|34|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, 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": 1404}},
{"tool": "restock", "args": {"item": "pump", "qty": 57}},
{"tool": "restock", "args": {"item": "panel", "qty": 66}},
{"tool": "restock", "args": {"item": "pump", "qty": 86}}
]correctagentic.tools.deploy-v1conf 95% · 1.3s · $0.000 · 79 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: (none)
- gateway: auth-svc, search
- search: billing
- auth-svc: billing, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.deploy-v1conf 100% · 1.5s · $0.000 · 309 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: gateway
- gateway: (none)
- auth-svc: gateway
- reports: billing, gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1conf 100% · 1.1s · $0.000 · 186 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → haddad
- payments → chen
- auth → dubois
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "invoice total wrong" (category: payments, priority 6)
3. "invoice total wrong" (category: payments, 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": "dashboard shows stale numbers", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.context-load-v1conf 100% · 1.3s · $0.001 · 420 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 (256 records, format: id|customer|region|item|qty|status):
```
1480|acme|south|gasket|36|pending
1525|birch|north|rotor|19|shipped
1820|fulton|east|cable|40|shipped
1590|cobalt|west|rotor|78|pending
1734|juno|south|gasket|89|paid
1740|acme|north|gasket|17|held
1941|juno|west|panel|60|pending
1511|gale|north|gasket|35|shipped
1793|cobalt|north|gasket|10|shipped
2025|gale|south|valve|51|paid
1493|dorian|east|valve|15|shipped
1550|ember|east|cable|83|shipped
1502|juno|east|sensor|97|paid
2176|harbor|south|valve|82|shipped
1852|cobalt|east|valve|56|shipped
2235|ionic|east|cable|37|paid
1765|dorian|south|pump|19|paid
2122|juno|north|cable|86|paid
1735|dorian|west|gasket|79|paid
1893|acme|west|pump|47|shipped
2288|birch|west|frame|43|held
1531|ember|west|gasket|18|pending
1417|gale|south|rotor|62|pending
1892|ember|south|rotor|87|held
1609|harbor|east|rotor|50|paid
1771|ionic|east|pump|47|paid
2276|fulton|north|gasket|88|shipped
1677|harbor|east|cable|33|held
1720|ionic|east|gasket|55|held
1554|cobalt|north|sensor|69|shipped
1760|fulton|south|valve|90|held
2051|harbor|north|sensor|82|held
2081|ionic|north|pump|56|pending
2072|birch|west|pump|96|paid
1355|dorian|south|valve|22|pending
2110|juno|north|sensor|86|held
2254|birch|south|gasket|96|held
2193|dorian|east|cable|31|paid
2223|ionic|north|valve|39|paid
1831|fulton|west|frame|76|paid
2107|fulton|south|valve|76|held
1410|ember|south|sensor|47|shipped
1658|gale|north|sensor|10|paid
2219|birch|east|sensor|75|paid
2300|harbor|east|sensor|46|paid
2159|cobalt|east|cable|91|shipped
1728|cobalt|west|valve|92|pending
2076|dorian|north|panel|74|held
1886|birch|west|gasket|10|held
1708|birch|east|gasket|39|shipped
1548|acme|east|frame|12|held
2284|harbor|south|gasket|52|held
1610|acme|west|pump|33|held
1834|juno|south|valve|79|pending
1390|dorian|south|gasket|79|shipped
1899|birch|west|sensor|37|shipped
1822|gale|east|rotor|15|paid
2059|dorian|west|rotor|46|shipped
1542|gale|west|cable|45|pending
1888|fulton|south|sensor|25|pending
1970|fulton|north|valve|49|pending
1346|dorian|east|panel|42|pending
1974|ember|east|frame|78|held
2154|harbor|west|pump|27|shipped
2048|gale|south|valve|61|paid
2066|acme|south|cable|13|shipped
1464|juno|south|sensor|69|pending
1702|birch|east|pump|85|pending
1487|dorian|south|rotor|23|paid
2289|birch|south|rotor|13|paid
1472|acme|east|panel|66|pending
1643|dorian|south|cable|56|pending
1868|harbor|north|rotor|66|pending
1568|cobalt|west|valve|81|shipped
1744|acme|west|valve|50|shipped
1901|dorian|north|sensor|90|shipped
1781|gale|south|sensor|71|pending
1669|harbor|south|frame|17|shipped
1345|dorian|south|gasket|50|pending
1400|birch|south|valve|87|pending
2232|ember|north|rotor|94|paid
1460|acme|west|rotor|70|paid
1960|fulton|east|frame|25|shipped
2160|fulton|north|pump|24|shipped
2202|juno|east|rotor|41|held
2156|cobalt|north|valve|57|pending
2244|ember|west|cable|30|held
2241|acme|west|gasket|50|paid
1697|cobalt|east|cable|76|shipped
1475|cobalt|south|panel|19|shipped
2172|juno|east|cable|89|pending
1776|acme|north|pump|47|paid
1930|ember|north|panel|50|shipped
1813|dorian|north|valve|52|held
1906|acme|west|frame|78|paid
1672|fulton|south|valve|71|paid
2135|harbor|south|valve|61|held
2097|fulton|west|cable|15|paid
2063|birch|east|rotor|13|held
1352|dorian|south|valve|78|held
1448|juno|east|pump|47|paid
2103|ionic|north|cable|10|paid
1388|dorian|east|sensor|99|pending
2021|juno|west|rotor|87|pending
1419|birch|south|panel|86|held
1398|fulton|south|panel|27|pending
1437|juno|east|rotor|76|held
1617|ionic|south|valve|12|pending
1769|ember|north|gasket|87|paid
2286|ember|south|panel|48|paid
1879|ember|north|cable|56|paid
1859|dorian|north|cable|68|shipped
1436|birch|south|panel|76|shipped
1994|harbor|south|sensor|24|paid
1497|acme|west|sensor|37|pending
1624|ionic|east|gasket|78|paid
1988|juno|east|sensor|84|paid
2205|dorian|south|valve|99|held
2009|acme|east|pump|75|pending
1928|acme|east|frame|75|paid
1841|ionic|west|gasket|31|paid
2112|harbor|west|gasket|91|pending
1674|juno|south|cable|19|held
1648|ember|south|gasket|55|shipped
1530|juno|east|frame|40|shipped
1370|dorian|south|pump|56|pending
2271|acme|east|frame|44|paid
2249|ember|east|panel|65|held
1758|harbor|south|pump|66|shipped
1406|harbor|west|cable|87|pending
1690|fulton|north|pump|34|shipped
1943|ember|east|valve|67|paid
2061|fulton|south|valve|88|shipped
1980|dorian|south|gasket|63|held
2152|gale|east|pump|99|shipped
2291|dorian|south|cable|14|paid
1377|dorian|south|rotor|61|paid
2195|acme|north|valve|78|pending
2116|gale|south|sensor|73|pending
1395|cobalt|east|gasket|60|pending
1375|dorian|north|rotor|42|pending
2187|cobalt|north|panel|25|held
1706|acme|west|frame|58|paid
2005|dorian|south|sensor|24|pending
1850|harbor|east|valve|51|pending
1427|ionic|north|frame|44|pending
1825|cobalt|south|frame|65|pending
1686|dorian|south|pump|93|shipped
1929|harbor|east|panel|39|paid
2046|fulton|east|rotor|94|pending
1809|fulton|south|frame|82|paid
1696|juno|south|cable|70|paid
1718|ember|south|valve|87|paid
1922|cobalt|north|rotor|13|held
1561|dorian|west|cable|40|shipped
1633|acme|south|frame|80|pending
2130|gale|south|gasket|50|pending
1932|dorian|east|frame|69|held
2094|birch|north|valve|39|held
1429|acme|west|sensor|88|held
1543|fulton|east|pump|60|shipped
2139|juno|west|panel|86|held
1714|dorian|east|pump|21|held
2114|ionic|east|panel|91|held
1998|dorian|west|gasket|13|shipped
1749|gale|south|frame|16|pending
1432|fulton|south|sensor|12|pending
2296|ember|south|panel|98|shipped
1986|harbor|west|frame|85|pending
1732|birch|west|pump|64|pending
1629|ember|north|gasket|82|pending
2060|harbor|west|pump|84|paid
2268|birch|south|valve|50|paid
1433|acme|west|sensor|46|held
1495|dorian|east|frame|69|pending
1659|harbor|north|pump|85|paid
1428|cobalt|west|frame|63|pending
1729|dorian|east|gasket|98|held
2283|birch|north|rotor|38|shipped
2083|dorian|north|pump|59|paid
1491|juno|north|panel|23|pending
1360|dorian|north|rotor|97|pending
1873|fulton|east|rotor|31|pending
1422|acme|north|panel|37|pending
1796|acme|west|sensor|94|shipped
1453|acme|east|panel|80|pending
2143|acme|west|valve|78|shipped
1598|fulton|east|sensor|83|held
2033|fulton|west|gasket|30|pending
2155|cobalt|west|cable|82|paid
1936|dorian|west|rotor|53|paid
1755|dorian|south|rotor|82|paid
1574|gale|east|frame|70|held
2119|birch|east|valve|17|held
1731|ember|north|sensor|76|shipped
1505|ionic|south|sensor|71|pending
1601|juno|north|panel|29|shipped
1919|acme|west|rotor|64|pending
1847|fulton|east|valve|24|held
1605|dorian|north|cable|17|paid
1401|fulton|north|valve|60|paid
2212|ember|north|frame|83|pending
2040|ionic|south|valve|62|held
1863|gale|north|gasket|78|pending
1680|cobalt|north|gasket|29|held
1950|fulton|west|panel|96|shipped
1519|acme|west|frame|99|paid
1845|acme|south|sensor|48|held
1618|acme|west|panel|47|paid
2043|juno|west|cable|23|held
2087|fulton|west|valve|12|paid
1595|ionic|west|cable|70|held
1802|gale|north|gasket|58|held
2255|harbor|west|cable|71|held
1700|juno|north|sensor|92|shipped
1382|dorian|south|frame|66|pending
2227|ionic|south|sensor|62|shipped
1536|harbor|west|sensor|36|held
1951|fulton|south|cable|84|shipped
1969|harbor|south|cable|64|paid
2304|gale|west|sensor|20|pending
2145|gale|north|sensor|31|held
1586|dorian|south|sensor|26|held
2165|acme|south|frame|37|pending
2182|birch|south|cable|59|paid
1815|acme|south|cable|58|held
1431|fulton|west|panel|86|paid
1366|dorian|south|panel|53|held
1787|ionic|west|cable|96|pending
2016|acme|north|panel|53|held
1725|gale|south|pump|36|shipped
1444|cobalt|north|pump|14|pending
1914|dorian|west|pump|68|pending
1910|fulton|east|pump|28|paid
1857|harbor|east|sensor|21|pending
2028|fulton|west|pump|95|held
1724|birch|north|valve|92|held
2262|birch|west|sensor|49|paid
1962|cobalt|west|valve|26|pending
1458|dorian|north|pump|60|paid
1615|gale|north|rotor|83|shipped
1958|acme|north|gasket|18|paid
1545|gale|south|pump|49|paid
1662|harbor|south|frame|63|paid
1803|ember|south|valve|83|pending
2125|dorian|east|sensor|69|paid
1651|ionic|east|sensor|81|paid
2164|acme|south|frame|61|paid
1620|gale|west|cable|57|held
1639|birch|south|sensor|74|shipped
1468|acme|north|gasket|27|shipped
1580|gale|east|pump|81|held
1516|fulton|north|gasket|26|held
1983|ionic|east|valve|95|shipped
2058|fulton|east|cable|19|held
1882|acme|east|rotor|61|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, 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": 1345}},
{"tool": "cancel_order", "args": {"order_id": 1355}},
{"tool": "cancel_order", "args": {"order_id": 1370}},
{"tool": "cancel_order", "args": {"order_id": 1382}},
{"tool": "cancel_order", "args": {"order_id": 1643}},
{"tool": "cancel_order", "args": {"order_id": 2005}}
]wrongagentic.tools.ledger-v1conf 95% · 1.1s · $0.000 · 171 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $472
- delta: $341
- bravo: $167
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $546 from "delta" to "bravo"
2. pay $473 from "echo" to "delta"
3. pay $343 from "echo" to "bravo"
4. pay $221 from "bravo" to "echo"
5. pay $350 from "delta" 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": "top_up_from_reserve", "args": {"account": "delta", "amount": 205}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 546}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 473}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 344}},
{"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 343}},
{"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 221}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 350}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 350}}
]correctagentic.tools.triage-v1conf 100% · 1.7s · $0.000 · 135 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → silva
- infra → okafor
- data → rivera
INCIDENTS:
1. "cannot reset password" (category: auth, priority 3)
2. "API latency spikes" (category: infra, priority 4)
3. "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": "cannot reset password", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.context-load-v1conf 95% · 1.4s · $0.001 · 490 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 (127 records, format: id|customer|region|item|qty|status):
```
1385|dorian|east|cable|88|shipped
1180|harbor|north|rotor|45|pending
1464|fulton|east|rotor|66|paid
1256|gale|east|cable|14|paid
1485|birch|west|pump|45|shipped
1397|fulton|east|cable|94|shipped
1454|gale|east|cable|99|held
1131|dorian|east|frame|95|pending
1058|dorian|west|rotor|22|pending
1050|dorian|north|panel|39|pending
1186|ionic|south|cable|79|held
1472|birch|east|frame|77|held
1206|harbor|west|valve|58|pending
1104|birch|north|panel|88|pending
1277|birch|south|cable|57|shipped
1350|ember|north|cable|76|shipped
1457|dorian|south|sensor|50|paid
1164|birch|north|pump|49|paid
1297|juno|north|gasket|79|shipped
1108|fulton|south|panel|62|paid
1043|dorian|west|frame|19|pending
1430|fulton|west|valve|62|pending
1174|gale|west|frame|43|paid
1323|ember|east|valve|27|pending
1494|fulton|south|cable|67|pending
1322|gale|south|cable|57|held
1091|dorian|west|pump|50|held
1193|gale|east|valve|47|shipped
1077|dorian|west|pump|83|pending
1513|acme|north|valve|43|paid
1405|acme|west|pump|69|shipped
1232|cobalt|west|valve|77|paid
1157|ionic|west|panel|76|pending
1444|birch|east|pump|54|pending
1079|dorian|south|valve|58|pending
1407|juno|west|cable|84|held
1040|dorian|west|gasket|57|held
1441|ember|south|valve|22|shipped
1135|juno|north|frame|29|held
1052|dorian|west|rotor|29|held
1491|juno|north|sensor|10|shipped
1415|gale|south|sensor|98|held
1307|harbor|north|rotor|86|paid
1085|fulton|east|valve|12|pending
1208|dorian|south|cable|36|held
1304|acme|north|frame|52|shipped
1425|cobalt|north|pump|17|paid
1392|harbor|south|pump|90|held
1265|cobalt|east|frame|78|pending
1062|dorian|west|rotor|69|shipped
1036|dorian|south|panel|36|pending
1073|dorian|west|panel|68|paid
1496|dorian|west|panel|22|shipped
1171|fulton|south|rotor|74|pending
1400|acme|east|cable|99|shipped
1115|ember|south|gasket|10|pending
1197|birch|north|gasket|32|pending
1490|fulton|south|valve|72|pending
1293|acme|north|frame|70|held
1151|ember|east|cable|70|pending
1224|gale|north|panel|24|paid
1390|ionic|east|pump|96|shipped
1111|harbor|north|pump|57|shipped
1219|ionic|east|frame|54|paid
1338|birch|north|frame|80|pending
1142|ionic|north|gasket|24|pending
1321|cobalt|east|cable|35|held
1335|ember|east|sensor|72|paid
1503|harbor|west|panel|40|paid
1204|gale|east|frame|76|held
1100|cobalt|west|pump|89|paid
1467|ember|east|sensor|76|paid
1216|fulton|east|gasket|57|paid
1446|harbor|south|frame|54|held
1479|fulton|east|frame|49|pending
1435|cobalt|west|rotor|66|shipped
1306|juno|north|sensor|69|paid
1239|fulton|south|gasket|40|held
1316|fulton|south|rotor|48|held
1147|fulton|south|pump|61|shipped
1453|birch|east|valve|28|pending
1345|ember|west|pump|78|paid
1250|dorian|west|pump|83|held
1509|birch|west|rotor|92|pending
1234|juno|east|frame|85|shipped
1081|dorian|west|cable|60|held
1283|fulton|west|sensor|82|paid
1505|birch|east|sensor|14|paid
1031|dorian|west|cable|44|pending
1318|fulton|south|cable|71|held
1214|ionic|west|pump|89|paid
1291|juno|north|gasket|27|held
1088|harbor|south|gasket|66|held
1284|cobalt|south|pump|55|shipped
1097|birch|east|pump|19|pending
1420|fulton|south|sensor|19|pending
1125|ionic|east|panel|76|held
1315|dorian|west|gasket|83|held
1468|ember|north|valve|38|shipped
1275|juno|north|frame|63|paid
1357|ember|north|sensor|53|held
1093|ember|south|gasket|27|paid
1063|dorian|west|pump|11|pending
1361|harbor|west|rotor|24|held
1309|harbor|west|cable|98|paid
1474|fulton|north|panel|32|shipped
1274|acme|south|frame|35|shipped
1229|cobalt|east|pump|94|held
1330|ionic|north|gasket|63|shipped
1362|dorian|west|rotor|57|shipped
1410|acme|east|frame|53|shipped
1290|gale|west|pump|95|pending
1372|gale|south|frame|19|held
1148|gale|east|cable|32|held
1178|cobalt|west|gasket|71|paid
1238|ember|north|valve|66|held
1466|juno|east|pump|16|pending
1121|gale|west|pump|30|pending
1267|birch|east|sensor|39|shipped
1061|dorian|north|valve|55|pending
1434|dorian|north|gasket|53|pending
1242|harbor|north|panel|69|held
1245|ember|south|cable|85|pending
1068|dorian|east|cable|57|pending
1379|acme|south|pump|24|held
1260|harbor|east|panel|98|pending
1369|harbor|south|panel|40|held
```
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 > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1031}},
{"tool": "cancel_order", "args": {"order_id": 1043}},
{"tool": "cancel_order", "args": {"order_id": 1058}},
{"tool": "cancel_order", "args": {"order_id": 1063}},
{"tool": "restock", "args": {"item": "pump", "qty": 83}}
]correctagentic.tools.deploy-v1conf 100% · 1.5s · $0.000 · 79 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- search: reports
- gateway: reports
- 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 "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": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.1s · $0.000 · 206 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $848
- echo: $664
- delta: $897
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $437 from "delta" to "alpha"
2. pay $115 from "delta" to "echo"
3. pay $101 from "echo" to "alpha"
4. pay $475 from "alpha" to "echo"
5. pay $527 from "delta" 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": "delta", "to": "alpha", "amount": 437}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 115}},
{"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 101}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 65}},
{"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 475}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 182}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 527}}
]correctagentic.tools.triage-v1conf 95% · 2.0s · $0.000 · 156 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
- data → novak
- infra → rivera
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 6)
3. "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": "locked out after 2FA change", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.context-load-v1conf 100% · 1.3s · $0.001 · 703 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 (214 records, format: id|customer|region|item|qty|status):
```
1855|acme|west|cable|85|paid
2100|harbor|east|gasket|69|pending
2207|dorian|north|sensor|24|pending
1907|harbor|west|pump|92|pending
1481|ember|east|frame|92|shipped
1482|gale|south|pump|23|pending
2059|acme|south|panel|37|paid
1905|ionic|south|cable|77|paid
1379|acme|south|panel|41|shipped
1521|fulton|west|panel|93|held
1693|dorian|north|rotor|30|paid
1627|ember|east|valve|32|paid
1732|harbor|west|frame|82|paid
1955|birch|south|cable|28|paid
1859|acme|east|cable|66|held
1944|acme|east|panel|15|paid
1912|birch|south|frame|45|paid
2115|dorian|west|rotor|70|pending
1706|ember|south|gasket|58|held
2071|juno|north|gasket|61|pending
1954|ember|west|cable|23|pending
1862|juno|west|valve|73|held
1902|cobalt|west|frame|55|held
1623|ember|south|pump|25|paid
1760|birch|east|sensor|84|paid
1530|ember|east|valve|60|pending
1499|harbor|west|valve|37|pending
2164|ember|north|gasket|87|paid
1620|juno|east|sensor|77|held
1986|gale|north|valve|94|held
1460|harbor|north|valve|87|held
1670|acme|east|frame|86|held
2031|harbor|north|sensor|85|held
1841|dorian|south|valve|27|shipped
2225|ember|west|panel|79|pending
2187|harbor|north|rotor|18|held
1399|acme|south|pump|92|pending
1406|acme|east|pump|44|pending
1870|ionic|east|rotor|53|paid
1523|birch|south|rotor|84|paid
2133|ionic|south|pump|92|shipped
1647|birch|west|pump|48|paid
1484|dorian|south|frame|89|shipped
1662|ionic|east|cable|20|pending
1466|ember|south|panel|11|held
1518|dorian|north|panel|46|pending
1690|gale|south|sensor|44|paid
2128|harbor|north|cable|34|held
1548|birch|west|frame|66|held
2212|harbor|north|rotor|66|paid
2081|ionic|north|valve|83|shipped
1698|acme|east|cable|18|shipped
1926|harbor|west|sensor|55|held
1938|juno|east|panel|68|pending
1999|harbor|west|rotor|44|paid
1740|juno|north|rotor|44|paid
1743|acme|east|cable|69|shipped
2118|cobalt|south|pump|93|held
1822|ionic|north|cable|21|paid
1609|birch|east|sensor|26|pending
1925|ember|east|frame|33|shipped
1386|acme|south|gasket|62|pending
2063|ember|east|frame|53|shipped
1885|ember|east|cable|23|paid
1919|ember|west|pump|40|held
1893|ember|east|gasket|87|paid
1598|juno|north|sensor|77|shipped
1428|birch|south|sensor|73|held
1563|ionic|south|gasket|91|paid
1827|fulton|east|frame|47|pending
1504|acme|west|panel|77|shipped
2132|ionic|west|sensor|74|paid
1471|gale|east|gasket|72|held
1700|gale|west|gasket|27|shipped
2114|fulton|north|rotor|27|held
1465|harbor|west|cable|48|pending
1812|gale|south|frame|39|pending
2053|juno|west|panel|11|shipped
2047|birch|east|frame|12|shipped
1753|cobalt|east|rotor|28|shipped
1637|ember|east|sensor|75|held
1730|juno|south|rotor|69|paid
1976|ionic|south|valve|32|shipped
1973|harbor|east|frame|22|paid
1446|juno|east|cable|68|pending
1515|dorian|east|gasket|49|paid
1597|cobalt|north|valve|55|shipped
1477|birch|east|valve|21|held
1864|ionic|east|pump|60|paid
1796|harbor|north|sensor|78|paid
1966|harbor|west|sensor|24|pending
1801|harbor|north|sensor|90|pending
1845|gale|north|panel|73|pending
2126|gale|north|rotor|88|shipped
2001|ember|east|sensor|23|paid
1734|dorian|east|sensor|20|held
1595|juno|south|sensor|14|held
1724|harbor|east|pump|56|paid
1684|harbor|west|valve|13|paid
1578|gale|north|valve|56|held
2173|gale|west|panel|82|shipped
2024|juno|south|pump|68|shipped
2148|dorian|south|pump|76|held
1772|gale|west|gasket|84|held
1621|gale|south|cable|93|paid
1818|juno|north|sensor|60|paid
1658|gale|west|valve|59|shipped
1996|juno|north|panel|24|paid
1506|gale|south|pump|35|pending
1978|cobalt|east|cable|92|pending
2048|fulton|north|cable|58|paid
1574|acme|west|cable|30|shipped
2042|birch|east|pump|96|pending
1447|birch|west|pump|27|paid
1784|fulton|east|gasket|51|shipped
1877|acme|north|gasket|71|paid
1767|juno|south|panel|62|paid
1569|dorian|east|rotor|30|held
1769|dorian|east|rotor|63|shipped
1851|ionic|north|panel|19|shipped
1392|acme|south|cable|70|shipped
1832|ionic|east|valve|96|paid
2232|birch|south|valve|78|shipped
2209|birch|west|sensor|33|shipped
1748|gale|south|frame|10|held
1434|harbor|north|sensor|91|pending
1979|dorian|north|gasket|69|held
1494|harbor|west|rotor|16|paid
2035|harbor|east|cable|44|paid
1559|dorian|west|sensor|62|paid
2006|gale|east|gasket|13|held
2154|acme|east|cable|76|shipped
1585|harbor|west|gasket|63|pending
2157|dorian|west|valve|38|paid
1931|juno|west|sensor|17|shipped
1876|ember|east|gasket|69|paid
1643|ionic|west|gasket|68|paid
2219|gale|east|pump|50|paid
1839|harbor|north|sensor|55|held
1677|harbor|south|pump|29|pending
1369|acme|south|panel|87|pending
1387|acme|north|pump|59|pending
1629|juno|south|sensor|47|pending
2143|harbor|south|valve|74|shipped
1959|cobalt|south|cable|22|pending
1440|cobalt|north|frame|51|shipped
2060|dorian|west|cable|76|held
1687|acme|east|sensor|33|shipped
1659|gale|north|pump|97|held
1543|juno|north|frame|45|held
1738|ionic|south|frame|85|pending
2087|gale|east|cable|21|paid
1992|fulton|south|pump|90|shipped
2109|fulton|north|gasket|53|held
1454|cobalt|north|sensor|13|pending
1415|acme|south|gasket|89|pending
1750|harbor|east|valve|20|held
2105|ember|west|frame|47|paid
1715|dorian|north|cable|23|paid
1857|ionic|south|panel|10|held
1432|ionic|south|frame|73|paid
2018|cobalt|south|sensor|79|held
2078|gale|north|valve|11|pending
1777|cobalt|east|sensor|17|held
1879|ionic|north|frame|57|pending
1592|juno|north|gasket|19|shipped
1376|acme|north|panel|92|pending
2200|dorian|west|frame|96|pending
2122|ember|south|rotor|77|shipped
2137|birch|east|frame|98|shipped
1975|ember|west|sensor|92|pending
1863|harbor|west|gasket|96|shipped
1655|ember|south|rotor|64|paid
1549|juno|west|rotor|46|pending
1422|acme|west|rotor|56|pending
1408|acme|south|rotor|63|paid
1651|ember|south|valve|52|shipped
2094|gale|west|sensor|21|paid
1604|dorian|west|cable|17|pending
2057|gale|north|panel|48|held
1588|dorian|south|valve|67|pending
1491|fulton|west|pump|58|pending
1424|acme|south|sensor|96|shipped
1789|acme|west|frame|29|paid
2194|harbor|west|frame|88|shipped
1786|cobalt|west|pump|27|paid
1703|gale|south|gasket|28|held
1951|fulton|north|sensor|76|held
1886|acme|west|frame|72|held
2038|dorian|east|pump|34|held
2012|ember|east|panel|45|held
1759|fulton|east|panel|61|held
1553|dorian|west|pump|67|paid
1635|harbor|east|frame|71|pending
1663|ionic|west|cable|16|held
1969|juno|west|sensor|34|pending
1717|harbor|west|sensor|81|paid
1726|juno|east|valve|59|shipped
1903|cobalt|east|rotor|57|pending
2180|ember|south|frame|66|held
2169|ember|east|panel|19|paid
1509|cobalt|south|valve|70|paid
1486|acme|north|frame|32|held
1550|cobalt|north|sensor|84|shipped
2239|dorian|south|pump|34|held
1709|ionic|west|cable|30|pending
1807|ionic|north|gasket|66|held
1536|harbor|south|gasket|57|pending
1593|cobalt|north|gasket|86|shipped
1898|cobalt|north|pump|92|shipped
1614|gale|north|panel|93|pending
2069|cobalt|east|cable|79|paid
1568|ember|west|valve|99|paid
1570|acme|east|sensor|54|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "panel", "qty": 87}},
{"tool": "restock", "args": {"item": "gasket", "qty": 62}},
{"tool": "restock", "args": {"item": "pump", "qty": 92}},
{"tool": "restock", "args": {"item": "gasket", "qty": 89}}
]correctagentic.tools.deploy-v1conf 100% · 3.6s · $0.000 · 109 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- billing: notifier, reports
- reports: gateway
- notifier: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}}
]correctagentic.tools.ledger-v1conf 100% · 1.2s · $0.000 · 416 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $567
- lima: $655
- kilo: $236
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $489 from "kilo" to "echo"
2. pay $167 from "echo" to "lima"
3. pay $435 from "echo" to "kilo"
4. pay $196 from "kilo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 253}},
{"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 489}},
{"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 167}},
{"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 435}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 196}}
]correctagentic.tools.triage-v1conf 100% · 1.2s · $0.000 · 137 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → chen
- infra → haddad
- data → tanaka
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 7)
2. "uploads failing intermittently" (category: infra, priority 3)
3. "SSO loop on login" (category: auth, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.ledger-v1conf 100% · 984ms · $0.000 · 573 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $598
- bravo: $665
- tango: $285
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $273 from "echo" to "tango"
2. pay $162 from "bravo" to "tango"
3. pay $453 from "tango" to "bravo"
4. pay $505 from "bravo" to "tango"
5. pay $184 from "bravo" 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": "echo", "to": "tango", "amount": 273}},
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 162}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 453}},
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 505}},
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 184}}
]correctagentic.tools.deploy-v1conf 100% · 1.6s · $0.000 · 80 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: reports
- search: auth-svc, reports
- notifier: auth-svc, reports
- reports: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}}
]correctagentic.tools.triage-v1conf 95% · 1.3s · $0.000 · 193 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → novak
- infra → silva
- auth → dubois
INCIDENTS:
1. "refund double-charged" (category: payments, priority 9)
2. "uploads failing intermittently" (category: infra, priority 2)
3. "SSO loop on login" (category: auth, priority 2)
4. "refund double-charged" (category: payments, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.context-load-v1conf 100% · 1.3s · $0.001 · 418 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 (133 records, format: id|customer|region|item|qty|status):
```
1148|ionic|north|cable|59|pending
1293|juno|east|pump|23|paid
1410|ember|west|panel|18|held
1073|cobalt|south|frame|29|shipped
1540|juno|east|cable|43|paid
1357|dorian|west|rotor|15|pending
1278|gale|south|pump|60|paid
1416|fulton|north|cable|25|pending
1265|dorian|west|valve|64|pending
1371|birch|west|panel|93|pending
1480|acme|west|gasket|23|pending
1530|harbor|north|panel|74|held
1438|acme|north|rotor|50|pending
1383|harbor|north|sensor|76|held
1221|ember|north|cable|84|shipped
1391|ember|north|valve|22|pending
1546|cobalt|west|pump|47|held
1286|juno|south|valve|55|held
1080|cobalt|south|valve|87|pending
1239|cobalt|east|frame|16|pending
1097|cobalt|south|sensor|13|paid
1488|ionic|north|valve|57|paid
1288|ember|south|sensor|63|pending
1200|cobalt|south|panel|61|pending
1493|fulton|east|pump|61|held
1389|gale|west|panel|52|paid
1281|birch|east|panel|27|pending
1245|juno|west|rotor|16|paid
1403|dorian|east|pump|64|held
1185|ember|south|frame|66|paid
1322|dorian|west|frame|38|paid
1557|gale|east|pump|14|held
1569|fulton|north|rotor|74|held
1154|dorian|west|sensor|95|pending
1102|cobalt|north|rotor|18|held
1065|cobalt|south|sensor|94|pending
1252|fulton|north|gasket|79|paid
1499|cobalt|south|valve|61|pending
1415|ember|north|rotor|78|pending
1394|fulton|north|panel|72|paid
1226|dorian|east|gasket|44|pending
1188|dorian|south|cable|25|pending
1577|juno|south|panel|90|pending
1176|cobalt|north|gasket|26|held
1235|cobalt|west|valve|60|held
1462|birch|east|rotor|12|held
1251|fulton|west|frame|30|paid
1524|birch|south|frame|89|held
1156|acme|south|panel|70|pending
1095|cobalt|north|gasket|73|pending
1419|acme|east|valve|89|paid
1127|ionic|west|rotor|86|pending
1207|acme|west|sensor|36|paid
1519|fulton|east|rotor|55|pending
1490|juno|south|sensor|15|paid
1510|fulton|north|gasket|12|held
1167|dorian|east|rotor|52|pending
1089|cobalt|south|valve|87|held
1404|gale|west|gasket|82|paid
1275|juno|north|cable|16|shipped
1174|fulton|south|panel|93|paid
1424|dorian|west|valve|76|paid
1359|fulton|east|pump|53|held
1123|fulton|south|cable|11|held
1349|ember|east|gasket|17|paid
1162|cobalt|west|sensor|70|shipped
1537|ionic|west|gasket|30|held
1125|acme|west|cable|25|pending
1464|cobalt|north|frame|45|pending
1580|gale|north|cable|89|paid
1451|acme|south|valve|65|shipped
1249|juno|north|panel|92|paid
1345|dorian|east|gasket|18|pending
1106|harbor|east|rotor|52|shipped
1325|dorian|west|panel|63|held
1469|birch|south|rotor|97|held
1271|juno|east|sensor|25|paid
1290|ionic|east|sensor|56|shipped
1335|gale|east|panel|86|pending
1446|juno|west|cable|25|shipped
1264|dorian|south|valve|82|paid
1107|dorian|east|cable|54|shipped
1564|harbor|west|valve|12|paid
1458|ember|north|frame|10|paid
1570|birch|north|pump|81|pending
1140|ionic|north|frame|96|paid
1287|fulton|south|frame|55|pending
1133|ionic|west|frame|45|pending
1474|ember|west|gasket|93|held
1213|dorian|north|gasket|84|shipped
1300|juno|north|pump|94|shipped
1528|ionic|south|frame|63|paid
1555|acme|west|frame|94|paid
1378|gale|east|cable|45|shipped
1321|harbor|south|valve|21|pending
1307|ember|east|pump|62|held
1230|harbor|east|frame|59|shipped
1444|cobalt|south|frame|14|shipped
1144|gale|west|frame|24|shipped
1194|gale|north|valve|10|paid
1454|cobalt|west|sensor|29|pending
1195|cobalt|east|sensor|60|held
1109|dorian|north|gasket|88|shipped
1366|juno|east|panel|78|paid
1297|dorian|east|pump|31|pending
1396|fulton|west|pump|22|paid
1116|cobalt|east|sensor|17|held
1129|cobalt|east|panel|59|held
1225|cobalt|east|valve|55|pending
1505|birch|north|pump|72|paid
1346|harbor|east|cable|54|pending
1516|dorian|west|rotor|21|paid
1431|acme|north|gasket|56|paid
1584|acme|east|panel|82|paid
1447|ember|west|sensor|65|shipped
1332|dorian|west|sensor|30|shipped
1517|ember|north|cable|71|held
1486|ionic|south|gasket|94|pending
1181|birch|west|panel|93|pending
1353|fulton|south|gasket|63|held
1550|dorian|west|panel|17|shipped
1071|cobalt|east|gasket|64|pending
1257|cobalt|south|pump|83|held
1082|cobalt|north|cable|79|pending
1103|cobalt|north|cable|71|shipped
1314|dorian|west|cable|33|paid
1405|birch|east|cable|18|shipped
1585|ionic|south|pump|89|shipped
1093|cobalt|south|pump|41|pending
1339|cobalt|north|sensor|63|paid
1520|birch|north|sensor|63|held
1497|dorian|north|cable|79|held
1217|birch|south|sensor|95|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "sensor", "qty": 94}},
{"tool": "restock", "args": {"item": "valve", "qty": 87}},
{"tool": "cancel_order", "args": {"order_id": 1093}},
{"tool": "restock", "args": {"item": "panel", "qty": 61}},
{"tool": "restock", "args": {"item": "valve", "qty": 61}}
]correctagentic.tools.deploy-v1conf 100% · 1.8s · $0.000 · 80 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: notifier, search
- search: notifier
- notifier: (none)
- billing: reports, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}}
]wrongagentic.tools.ledger-v1conf 100% · 1.8s · $0.000 · 150 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $547
- lima: $871
- tango: $155
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $443 from "echo" to "tango"
2. pay $492 from "tango" to "echo"
3. pay $288 from "lima" to "tango"
4. pay $177 from "echo" to "lima"
5. pay $158 from "echo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 443}},
{"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 492}},
{"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 288}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 67}},
{"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 177}},
{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 158}},
{"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 158}}
]correctagentic.tools.triage-v1conf 95% · 2.2s · $0.000 · 213 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → chen
- auth → novak
- infra → dubois
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 4)
2. "SSO loop on login" (category: auth, priority 8)
3. "card declined at checkout" (category: payments, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1anchorconf 100% · 1.8s · $0.001 · 126 tok
model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1357}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "cancel_order", "args": {"order_id": 1394}},
{"tool": "cancel_order", "args": {"order_id": 1578}},
{"tool": "cancel_order", "args": {"order_id": 1682}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "restock", "args": {"item": "gasket", "qty": 60}}
]correctagentic.tools.deploy-v1anchorconf 100% · 1.1s · $0.000 · 360 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1anchorconf 100% · 881ms · $0.000 · 566 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% · 906ms · $0.000 · 269 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 15/30 correct
wrongcode.trace.js-v1conf 100% · 951ms · $0.000 · 13 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60correctcode.trace.nested-v1conf 100% · 1.4s · $0.000 · 605 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
420correctcode.trace.nested-v1conf 100% · 986ms · $0.000 · 831 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 == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
315wrongcode.trace.python-v1conf 95% · 1.3s · $0.000 · 13 tok
question
What does this Python program print?
```python
total = 0
v = 14
while total + v <= 101:
if v % 4 != 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:
89correctcode.trace.js-v1conf 100% · 1.4s · $0.000 · 13 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 4) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
144correctcode.trace.nested-v1conf 100% · 1.2s · $0.000 · 460 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 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:
263correctcode.trace.python-v1conf 100% · 1.5s · $0.000 · 271 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 6
while total + v <= 112:
if v % 4 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
96wrongcode.trace.python-v1conf 95% · 1.3s · $0.000 · 13 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 2
while total + v <= 73:
if v % 3 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
70wrongcode.trace.js-v1conf 100% · 1.7s · $0.000 · 13 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]; const out = arr .map(n => n * 7) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
105wrongcode.trace.nested-v1conf 95% · 1.0s · $0.000 · 14 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
1015correctcode.trace.js-v1conf 100% · 854ms · $0.000 · 13 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 4) .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:
312wrongcode.trace.nested-v1conf 100% · 961ms · $0.000 · 14 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
1000wrongcode.trace.python-v1conf 90% · 984ms · $0.000 · 13 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 7
while total + v <= 59:
if v % 5 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
48wrongcode.trace.js-v1conf 95% · 1.3s · $0.000 · 13 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8]; 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:
90correctcode.trace.nested-v1conf 100% · 2.2s · $0.000 · 374 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 * 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:
92correctcode.trace.python-v1conf 100% · 845ms · $0.000 · 307 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 10
while total + v <= 55:
if v % 3 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
36correctcode.trace.js-v1conf 100% · 1.3s · $0.000 · 13 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 6) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30wrongcode.trace.python-v1conf 95% · 1.2s · $0.000 · 13 tok
question
What does this Python program print?
```python
total = 0
v = 3
while total + v <= 51:
if v % 4 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
30correctcode.trace.nested-v1conf 100% · 1.1s · $0.000 · 595 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 * 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:
140correctcode.trace.js-v1conf 100% · 1.5s · $0.000 · 103 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 * 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:
648wrongcode.trace.python-v1conf 95% · 1.4s · $0.000 · 13 tok
question
What does this Python program print?
```python
total = 0
v = 11
while total + v <= 31:
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:
21wrongcode.trace.js-v1conf 100% · 1.3s · $0.000 · 13 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 6) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30correctcode.trace.python-v1conf 100% · 1.4s · $0.000 · 280 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 11
while total + v <= 111:
if v % 5 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
91wrongcode.trace.nested-v1conf 95% · 877ms · $0.000 · 13 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
155correctcode.trace.nested-v1anchorconf 100% · 1.9s · $0.000 · 413 tok
model answer:
283wrongcode.trace.js-v1conf 95% · 1.0s · $0.000 · 13 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14]; 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:
90correctcode.trace.python-v1anchorconf 100% · 1.4s · $0.000 · 410 tok
model answer:
0wrongcode.trace.nested-v1conf 95% · 1.5s · $0.000 · 13 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
238correctcode.trace.js-v1anchorconf 100% · 1.2s · $0.000 · 13 tok
model answer:
63wrongcode.trace.python-v1anchorconf 95% · 1.4s · $0.000 · 13 tok
model answer:
42instruction following 16/30 correct
wrongif.constraints.stack-v1conf 100% · 1.0s · $0.000 · 60 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "zephyr" and the last word must be "tundra". 3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr carries neon light through a prism, a fractured prism. the silent city gleams, a vast tundra.wrongif.format.acronym-v1conf 100% · 2.2s · $0.000 · 11 tok
question
Take the second letter of each of these words, in order: prism, nova, 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:
RIMEcorrectif.format.repeat-v1conf 100% · 1.3s · $0.000 · 22 tok
question
Write the word "flint" in lowercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint/flint/flint/flint/flintwrongif.constraints.stack-v1conf 100% · 1.6s · $0.000 · 57 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "prism" and the last word must be "falcon". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism. basalt, basalt, basalt. a long, weary trek. then, a falcon.wrongif.format.acronym-v1conf 100% · 1.3s · $0.000 · 43 tok
question
Take the third letter of each of these words, in order: drift, falcon, basalt, cedar, tundra, 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:
RLSDNMcorrectif.format.repeat-v1conf 100% · 958ms · $0.000 · 46 tok
question
Write the word "drift" in uppercase form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DRIFT-DRIFT-DRIFT-DRIFT-DRIFT-DRIFTwrongif.constraints.stack-v1conf 100% · 694ms · $0.000 · 46 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "echo" and the last word must be "flint". 3. Use the word "lumen" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo, a vast lumen of crushing lumen, hides its deepest lumen secrets like flintcorrectif.format.acronym-v1conf 100% · 1.3s · $0.000 · 38 tok
question
Take the third letter of each of these words, in order: comet, lumen, prism, drift. 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:
MMIIcorrectif.format.repeat-v1conf 100% · 907ms · $0.000 · 57 tok
question
Write the word "quartz" in lowercase form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz_quartz_quartz_quartz_quartz_quartz_quartz_quartzwrongif.constraints.stack-v1conf 100% · 963ms · $0.000 · 39 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "drift" and the last word must be "quartz". 3. Use the word "comet" 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:
drift past a comet, a neon comet, glowing like fractured quartzwrongif.format.acronym-v1conf 100% · 979ms · $0.000 · 16 tok
question
Take the third letter of each of these words, in order: zephyr, cedar, flint, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
PHENcorrectif.format.repeat-v1conf 100% · 1.1s · $0.000 · 32 tok
question
Write the word "flint" in capitalized form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FLINT_FLINT_FLINT_FLINT_FLINTwrongif.constraints.stack-v1conf 100% · 1.1s · $0.000 · 57 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "falcon" and the last word must be "nova". 3. Use the word "orbit" 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 sees city lights orbit below, a silent orbit of cars. neon signs glow like a distant nova.correctif.format.repeat-v1conf 100% · 1.1s · $0.000 · 46 tok
question
Write the word "orbit" in lowercase form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit/orbit/orbit/orbit/orbit/orbit/orbit/orbit/orbitcorrectif.format.acronym-v1conf 100% · 968ms · $0.000 · 47 tok
question
Take the first letter of each of these words, in order: quartz, prism, zephyr, 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:
QPZFwrongif.constraints.stack-v1conf 100% · 1.1s · $0.000 · 41 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "prism" and the last word must be "lumen". 3. Use the word "delta" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism across the vast delta, a weary delta, to one final lumencorrectif.format.acronym-v1conf 100% · 1.0s · $0.000 · 55 tok
question
Take the first letter of each of these words, in order: quartz, basalt, delta, ember, tundra, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QBDETEwrongif.constraints.stack-v1conf 100% · 944ms · $0.000 · 54 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 "echo" and the last word must be "drift". 3. Use the word "lumen" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo of a lumen, a fading lumen, a final lumen; our long journey ends, letting memory drift.correctif.format.repeat-v1conf 100% · 830ms · $0.000 · 64 tok
question
Write the word "drift" in capitalized form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFTwrongif.format.acronym-v1conf 100% · 1.8s · $0.000 · 18 tok
question
Take the second letter of each of these words, in order: ember, comet, tundra, basalt, nova, drift. 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:
MBONADcorrectif.format.repeat-v1conf 100% · 1.3s · $0.000 · 48 tok
question
Write the word "lumen" 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:
LUMEN_LUMEN_LUMEN_LUMEN_LUMEN_LUMENwrongif.constraints.stack-v1conf 100% · 1.2s · $0.000 · 49 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "prism" and the last word must be "cedar". 3. Use the word "tundra" 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 of tundra, a cold sea, tundra waves crash on a tundra shore like a wet cedar.correctif.format.acronym-v1conf 100% · 1.2s · $0.000 · 49 tok
question
Take the first letter of each of these words, in order: lumen, quartz, flint, orbit, drift. 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:
LQFODwrongif.constraints.stack-v1conf 95% · 1.3s · $0.000 · 56 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "nova" and the last word must be "tundra". 3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova frost drifts, breath drifts, thoughts drift over silent white plains. a vast, frozen tundra.correctif.format.repeat-v1conf 100% · 1.4s · $0.000 · 42 tok
question
Write the word "tundra" in uppercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
TUNDRA-TUNDRA-TUNDRA-TUNDRA-TUNDRAcorrectif.format.acronym-v1conf 100% · 1.2s · $0.000 · 59 tok
question
Take the first letter of each of these words, in order: tundra, echo, quartz, drift, prism, 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:
TEQDPCcorrectif.format.repeat-v1anchorconf 100% · 1.1s · $0.000 · 58 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOwrongif.constraints.stack-v1anchorconf 100% · 1.2s · $0.000 · 51 tok
model answer:
drift through each fading lumen, a soft lumen glow. distant lumen hums pull my tired orbitcorrectif.format.repeat-v1anchorconf 100% · 1.5s · $0.000 · 60 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 903ms · $0.000 · 52 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 967ms · $0.000 · 13 tok
question
What is the chemical element with symbol W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 1.0s · $0.000 · 16 tok
question
What is the writer of the novel "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 16 tok
question
Name the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 15 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:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 9 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:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 11 tok
question
Identify the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 731ms · $0.000 · 12 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 16 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 709ms · $0.000 · 17 tok
question
Name 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 Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 3.8s · $0.000 · 15 tok
question
Identify the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 12 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 2.0s · $0.000 · 17 tok
question
Name 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 Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 15 tok
question
What is the capital of Myanmar? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 8 tok
question
Identify the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 16 tok
question
What is the writer of the novel "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 884ms · $0.000 · 15 tok
question
Identify 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:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 15 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 855ms · $0.000 · 16 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 Achebecorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 12 tok
question
Name the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 837ms · $0.000 · 17 tok
question
Identify 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 Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 9 tok
question
Identify the capital of Switzerland. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 16 tok
question
What is the writer of the novel "Snow Country"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 16 tok
question
What is the writer of the novel "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 15 tok
question
Identify the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 2.1s · $0.000 · 15 tok
question
What is 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:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 997ms · $0.000 · 16 tok
question
Identify the author of "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2anchorconf 100% · 861ms · $0.000 · 12 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 926ms · $0.000 · 13 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 1.3s · $0.000 · 11 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 1.1s · $0.000 · 12 tok
model answer:
Leadmath 30/30 correct
correctmath.counterfactual.base-v1conf 100% · 1.1s · $0.000 · 410 tok
question
Work strictly in base 9. Add the base-9 numbers 3851 and 700. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4651correctmath.chained.pipeline-v1conf 100% · 865ms · $0.000 · 128 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 19 × 34. Step 2: Q = P × 3 − 659. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
143correctmath.percent.chain-v2conf 100% · 1.5s · $0.000 · 218 tok
question
An inventory starts at 56000 units. The warehouse was painted 49 years ago. In the first month the inventory grows by 32%. The delivery van has a 84-liter fuel tank. The next month it shrinks by 43%, and the month after it grows by 18%. 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:
49718.59correctmath.algebra.system-v2conf 100% · 1.8s · $0.000 · 147 tok
question
Solve the system, then answer the derived question. 4x + 7y = 54 3x − 6y = -72 What is the value of 5x − 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:
-70correctmath.arith.chain-v2conf 100% · 2.2s · $0.000 · 248 tok
question
Calculate the following. Show your reasoning, then answer. (((68 × 42 − 433) × 3 + 8107) − 42 × 75) × 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:
73356correctmath.chained.pipeline-v1conf 100% · 963ms · $0.000 · 87 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 16 × 83. Step 2: Q = P × 4 − 590. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
530correctmath.counterfactual.base-v1conf 100% · 916ms · $0.000 · 591 tok
question
Work strictly in base 13. Add the base-13 numbers 141B and 553. 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:
1971correctmath.percent.chain-v2conf 95% · 1.4s · $0.000 · 166 tok
question
An inventory starts at 94000 units. The warehouse was painted 7 years ago. In the first month the inventory grows by 36%. The company was founded 21 kilometers from the port. The next month it shrinks by 27%, and the month after it grows by 19%. 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:
111054.608correctmath.algebra.system-v2conf 100% · 730ms · $0.000 · 230 tok
question
Solve the system, then answer the derived question. 6x + 2y = -16 2x − 4y = 88 What is the value of 2x − 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:
108correctmath.arith.chain-v2conf 100% · 1.3s · $0.000 · 75 tok
question
Work out the exact value of this expression. (((60 × 92 − 434) × 5 + 9721) − 60 × 44) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
65022correctmath.chained.pipeline-v1conf 100% · 1.4s · $0.000 · 96 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 15 × 88. Step 2: Q = P × 7 − 351. Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1275correctmath.percent.chain-v2conf 95% · 1.5s · $0.000 · 493 tok
question
An inventory starts at 16000 units. Each pallet weighs about 77 grams more when wet. In the first month the inventory grows by 41%. A rival firm shipped 63 unrelated parcels the same week. The next month it shrinks by 13%, and the month after it grows by 22%. 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:
23945.18correctmath.counterfactual.base-v1conf 95% · 780ms · $0.000 · 207 tok
question
Work strictly in base 11. Multiply the base-11 numbers 36 and 2A. 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:
A35correctmath.arith.chain-v2conf 100% · 1.4s · $0.000 · 230 tok
question
Calculate the following. Show your reasoning, then answer. (((56 × 69 − 898) × 9 + 6525) − 82 × 87) × 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:
104340correctmath.algebra.system-v2conf 100% · 1.5s · $0.000 · 217 tok
question
Solve the system, then answer the derived question. 8x + 7y = -399 4x − 6y = 114 What is the value of 6x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
6correctmath.chained.pipeline-v1conf 100% · 1.9s · $0.000 · 64 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 15 × 16. Step 2: Q = P × 6 − 140. 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:
325correctmath.counterfactual.base-v1conf 100% · 1.7s · $0.000 · 233 tok
question
Work strictly in base 8. Add the base-8 numbers 573 and 3356. 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:
4151correctmath.percent.chain-v2conf 95% · 2.1s · $0.000 · 208 tok
question
An inventory starts at 34000 units. The delivery van has a 46-liter fuel tank. In the first month the inventory grows by 26%. The delivery van has a 163-liter fuel tank. The next month it shrinks by 10%, and the month after it grows by 34%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
51665.04correctmath.arith.chain-v2conf 100% · 1.0s · $0.000 · 189 tok
question
Calculate the following. Show your reasoning, then answer. (((47 × 41 − 286) × 9 + 8041) − 20 × 26) × 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:
66870correctmath.algebra.system-v2conf 100% · 1.0s · $0.000 · 288 tok
question
Solve the system, then answer the derived question. 8x + 2y = -6 5x − 5y = 165 What is the value of 3x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
99correctmath.counterfactual.base-v1conf 100% · 1.4s · $0.000 · 117 tok
question
Work strictly in base 8. Multiply the base-8 numbers 64 and 70. 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:
5540correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.000 · 64 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 61 × 51. Step 2: Q = P × 6 − 434. 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:
6078correctmath.percent.chain-v2conf 100% · 1.8s · $0.000 · 165 tok
question
An inventory starts at 21000 units. Each pallet weighs about 58 grams more when wet. In the first month the inventory grows by 27%. The delivery van has a 55-liter fuel tank. The next month it shrinks by 24%, and the month after it grows by 15%. 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:
23309.58correctmath.algebra.system-v2conf 100% · 2.0s · $0.000 · 200 tok
question
Solve the system, then answer the derived question. 8x + 6y = 238 2x − 5y = -25 What is the value of 2x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-12correctmath.counterfactual.base-v1anchorconf 100% · 1.5s · $0.000 · 492 tok
model answer:
11236correctmath.arith.chain-v2conf 100% · 1.4s · $0.000 · 75 tok
question
Work out the exact value of this expression. (((68 × 85 − 528) × 6 + 8929) − 66 × 80) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
70322correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.000 · 107 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 52 × 22. Step 2: Q = P × 4 − 319. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
473correctmath.algebra.system-v2anchorconf 100% · 1.3s · $0.000 · 164 tok
model answer:
87correctmath.percent.chain-v2anchorconf 95% · 728ms · $0.000 · 408 tok
model answer:
61896.52correctmath.arith.chain-v2anchorconf 100% · 705ms · $0.000 · 128 tok
model answer:
108153multilingual 23/30 correct
correctmultilingual.wordnum-v1conf 100% · 1.5s · $0.000 · 83 tok
question
A number is written in French: « deux cent vingt ». Another is written in Spanish: « ochocientos treinta 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:
1054correctmultilingual.numword-v2conf 100% · 1.5s · $0.000 · 25 tok
question
Compute 307 + 92, 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 noventa y nuevecorrectmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 60 tok
question
A number is written in French: « quatre-vingt-six ». Another is written in Spanish: « cuatrocientos 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:
-316correctmultilingual.wordnum-v1conf 100% · 839ms · $0.000 · 98 tok
question
A number is written in French: « huit cent vingt et un ». Another is written in Spanish: « cuatrocientos trece ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1234wrongmultilingual.numword-v2conf 100% · 800ms · $0.000 · 23 tok
question
Compute 110 + 252, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cent soixante-deuxcorrectmultilingual.numword-v2conf 100% · 1.3s · $0.000 · 21 tok
question
Compute 286 + 391, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos setenta y sietecorrectmultilingual.wordnum-v1conf 100% · 2.5s · $0.000 · 105 tok
question
A number is written in French: « sept cent soixante-neuf ». Another is written in Spanish: « seiscientos treinta ». 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:
139correctmultilingual.wordnum-v1conf 100% · 1.0s · $0.000 · 76 tok
question
A number is written in French: « cent quatre ». Another is written in Spanish: « ochocientos treinta 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:
941wrongmultilingual.numword-v2conf 100% · 900ms · $0.000 · 25 tok
question
Compute 216 + 433, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent quarante-neufcorrectmultilingual.wordnum-v1conf 100% · 1.6s · $0.000 · 97 tok
question
A number is written in French: « deux cent soixante-dix-neuf ». Another is written in Spanish: « cuatrocientos 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:
687correctmultilingual.numword-v2conf 100% · 1.5s · $0.000 · 24 tok
question
Compute 272 + 227, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quatre-vingt-dix-neufcorrectmultilingual.wordnum-v1conf 100% · 1.7s · $0.000 · 85 tok
question
A number is written in French: « six cent trente ». Another is written in Spanish: « doscientos ochenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
348correctmultilingual.numword-v2conf 100% · 2.7s · $0.000 · 16 tok
question
Compute 171 + 431, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos doswrongmultilingual.numword-v2conf 100% · 1.6s · $0.000 · 19 tok
question
Compute 330 + 171, 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 uncorrectmultilingual.wordnum-v1conf 100% · 1.7s · $0.000 · 117 tok
question
A number is written in French: « huit cent soixante-deux ». Another is written in Spanish: « setecientos 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:
90correctmultilingual.numword-v2conf 100% · 1.5s · $0.000 · 15 tok
question
Compute 70 + 440, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos diezcorrectmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 26 tok
question
A number is written in French: « quatre cent trois ». Another is written in Spanish: « ciento 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:
507correctmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 91 tok
question
A number is written in French: « cinq cent vingt ». Another is written in Spanish: « seiscientos ochenta ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-160correctmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 27 tok
question
Compute 328 + 57, 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 ochenta y cincowrongmultilingual.numword-v2conf 100% · 1.5s · $0.000 · 19 tok
question
Compute 281 + 402, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six hundred eighty-threecorrectmultilingual.wordnum-v1conf 100% · 705ms · $0.000 · 116 tok
question
A number is written in French: « quatre cent soixante-quatorze ». Another is written in Spanish: « setenta y ocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
552correctmultilingual.wordnum-v1conf 100% · 864ms · $0.000 · 77 tok
question
A number is written in French: « cent quarante-quatre ». Another is written in Spanish: « cuatrocientos veinticuatro ». 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:
-280wrongmultilingual.numword-v2conf 100% · 923ms · $0.000 · 25 tok
question
Compute 493 + 351, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quarante-quatrecorrectmultilingual.wordnum-v1conf 100% · 1.5s · $0.000 · 38 tok
question
A number is written in French: « deux cent vingt-quatre ». Another is written in Spanish: « ochocientos treinta 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:
-608wrongmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 25 tok
question
Compute 362 + 387, 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 quarante-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 1.3s · $0.000 · 98 tok
model answer:
150correctmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 21 tok
question
Compute 168 + 312, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos ochentacorrectmultilingual.wordnum-v1anchorconf 100% · 1.1s · $0.000 · 80 tok
model answer:
762wrongmultilingual.numword-v2anchorconf 100% · 986ms · $0.000 · 31 tok
model answer:
quatre cent soixante-dix-neufcorrectmultilingual.numword-v2anchorconf 100% · 1.8s · $0.000 · 15 tok
model answer:
seiscientos ochoreasoning 23/30 correct
correctreasoning.deduction.order-v2conf 95% · 989ms · $0.000 · 484 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Quinn is taller than Chen. Liam is taller than Chen. Chen is taller than Mona. Nadir is taller than Ines. Quinn is taller than Nadir. Tessa is taller than Mona. Jonas is faster than everyone here, but Jonas is not being ranked. Chen is taller than Nadir. Ines is taller than Tessa. Liam is taller than Quinn. 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:
Chenwrongreasoning.deduction.position-v1conf 40% · 696ms · $0.002 · 3636 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Mona. Mona is number 3 in the queue. Kira is directly ahead of Farah. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1conf 100% · 1.8s · $0.000 · 113 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Emil. Emil is directly ahead of Bruno. Alice 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:
Emilcorrectreasoning.deduction.order-v2conf 100% · 901ms · $0.000 · 475 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Kira. Goran is faster than Dara. Kira is faster than Alice. Mona is faster than Quinn. Mona is faster than Goran. Mona is faster than Emil. Liam is heavier than everyone here, but Liam is not being ranked. Alice is faster than Emil. Goran is faster than Quinn. Emil is faster than Quinn. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 1.6s · $0.000 · 112 tok
question
Four people stand in a queue (number 1 is the front). Ola is number 2 in the queue. Sami is directly ahead of Ola. Goran is directly ahead of Emil. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Goranwrongreasoning.deduction.position-v1conf 100% · 1.2s · $0.000 · 11 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Nadir. Nadir is directly ahead of Tessa. 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:
Tessacorrectreasoning.deduction.order-v2conf 100% · 1.5s · $0.000 · 272 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Bruno. Bruno is faster than Quinn. Jonas is faster than Ines. Mona is faster than Quinn. Dara is faster than Jonas. Rosa is faster than Dara. Jonas is faster than Quinn. Bruno is faster than Mona. Ines is faster than Quinn. Liam is heavier than everyone here, but Liam is not being ranked. 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 1.7s · $0.000 · 399 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Mona is older than Ola. Alice is heavier than everyone here, but Alice is not being ranked. Kira is older than Rosa. Farah is older than Jonas. Ola is older than Kira. Farah is older than Mona. Rosa is older than Jonas. Mona is older than Dara. Rosa is older than Dara. Dara is older than Jonas. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.order-v2conf 100% · 862ms · $0.000 · 296 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Liam is taller than Rosa. Hana is heavier than everyone here, but Hana is not being ranked. Sami is taller than Emil. Quinn is taller than Sami. Kira is taller than Quinn. Ines is taller than Emil. Emil is taller than Liam. Kira is taller than Sami. Ines is taller than Kira. Kira is taller than Sami. 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:
Quinnwrongreasoning.deduction.position-v1conf 100% · 2.2s · $0.000 · 10 tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 3 in the queue. Rosa is directly ahead of Nadir. Nadir is directly ahead of Bruno. 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 1.0s · $0.000 · 677 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Mona is heavier than Priya. Alice is heavier than Chen. Priya is heavier than Hana. Priya is heavier than Kira. Kira is heavier than Chen. Chen is heavier than Hana. Goran is heavier than Alice. Kira is heavier than Goran. Ola is older than everyone here, but Ola is not being ranked. Priya is heavier than Alice. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 986ms · $0.000 · 22 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Ines. Alice is number 1 in the queue. Quinn is directly ahead of Emil. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 1.3s · $0.000 · 73 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Farah. Farah is directly ahead of Dara. Dara is number 4 in the queue. Kira is directly ahead of Mona. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 1.1s · $0.000 · 117 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 2 in the queue. Kira is directly ahead of Sami. Chen is directly ahead of Rosa. 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:
Samicorrectreasoning.deduction.order-v2conf 95% · 1.2s · $0.000 · 299 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Liam is taller than Dara. Sami is taller than Farah. Mona is taller than Dara. Sami is taller than Nadir. Jonas is taller than Liam. Dara is taller than Nadir. Alice is heavier than everyone here, but Alice is not being ranked. Mona is taller than Jonas. Farah is taller than Nadir. Farah is taller than Mona. 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:
Monawrongreasoning.deduction.order-v2conf 85% · 1.8s · $0.000 · 10 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is faster than Rosa. Bruno is faster than Rosa. Liam is faster than Nadir. Quinn is faster than Bruno. Bruno is faster than Liam. Ines is heavier than everyone here, but Ines is not being ranked. Mona is faster than Quinn. Emil is faster than Mona. Mona is faster than Nadir. Bruno is faster 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:
Liamcorrectreasoning.deduction.position-v1conf 100% · 879ms · $0.000 · 64 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Nadir. Chen is number 3 in the queue. Nadir is directly ahead of Chen. 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:
Nadirwrongreasoning.deduction.order-v2conf 90% · 1.7s · $0.000 · 10 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Sami is taller than Dara. Priya is taller than Chen. Farah is taller than Priya. Alice is heavier than everyone here, but Alice is not being ranked. Ola is taller than Chen. Ola is taller than Farah. Chen is taller than Kira. Chen is taller than Dara. Kira is taller than Dara. Kira is taller than Sami. 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 1.5s · $0.000 · 65 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Tessa. Kira is directly ahead of Bruno. Farah is number 1 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kirawrongreasoning.deduction.order-v2conf 90% · 1.7s · $0.000 · 10 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Alice. Chen is older than everyone here, but Chen is not being ranked. Goran is faster than Farah. Jonas is faster than Goran. Jonas is faster than Bruno. Jonas is faster than Alice. Bruno is faster than Priya. Jonas is faster than Hana. Alice is faster than Bruno. Hana is faster than Goran. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 959ms · $0.000 · 78 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Nadir. Mona is directly ahead of Goran. Ines 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 1.1s · $0.000 · 84 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Ines. Emil is directly ahead of Dara. Dara is number 2 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilwrongreasoning.deduction.order-v2conf 95% · 1.5s · $0.000 · 10 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Sami. Emil is faster than Liam. Rosa is faster than Emil. Priya is faster than Hana. Tessa is faster than Liam. Liam is faster than Sami. Emil is faster than Tessa. Emil is faster than Sami. Chen is taller than everyone here, but Chen is not being ranked. Hana is faster than Rosa. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.order-v2conf 100% · 1.6s · $0.000 · 330 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Goran. Rosa is faster than Ola. Quinn is heavier than everyone here, but Quinn is not being ranked. Rosa is faster than Hana. Hana is faster than Ola. Mona is faster than Ola. Goran is faster than Hana. Mona is faster than Chen. Ola is faster than Ines. Goran is faster than Rosa. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.order-v2anchorconf 100% · 1.1s · $0.000 · 571 tok
model answer:
Monacorrectreasoning.deduction.order-v2conf 85% · 912ms · $0.000 · 31 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Ines. Jonas is faster than Priya. Jonas is faster than Priya. Emil is faster than Jonas. Ola is faster than Priya. Ines is faster than Rosa. Jonas is faster than Ola. Sami is heavier than everyone here, but Sami is not being ranked. Jonas is faster than Priya. Rosa is faster than Emil. 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:
Olacorrectreasoning.deduction.position-v1conf 100% · 1.5s · $0.000 · 10 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Farah. Ola is number 4 in the queue. Farah is directly ahead of Ola. Chen is directly ahead of Rosa. 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:
Olacorrectreasoning.deduction.order-v2anchorconf 100% · 1.5s · $0.000 · 131 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 1.3s · $0.000 · 119 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 1.7s · $0.000 · 11 tok
model answer:
Farahterminal 29/30 correct
correctterminal.fs.tree-v1conf 100% · 1.4s · $0.000 · 966 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/build`, `/proj/src`): ``` /proj/build/todo.log /proj/docs/draft.md /proj/main.md /proj/src/setup.md /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm util.log mkdir -p docs/assets-8 cd src touch ../../proj/docs/assets-8/notes-6.cfg mv ../../proj/main.md ../../proj/docs/ touch ../../proj/docs/assets-8/index-6.log cd ../../proj/docs touch ../../proj/util-7.md touch ../../proj/build/main-9.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/main-9.txt
/proj/build/todo.log
/proj/docs/assets-8/index-6.log
/proj/docs/assets-8/notes-6.cfg
/proj/docs/draft.md
/proj/docs/main.md
/proj/src/setup.md
/proj/util-7.mdwrongterminal.exit.chain-v1conf 100% · 2.0s · $0.000 · 11 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 false && echo C || echo D test -f ghost.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
D
F
exit:1correctterminal.pipeline.predict-v1conf 100% · 1.9s · $0.000 · 335 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ned,eng,66,63 eli,hr,28,97 fay,sales,77,94 lou,ops,39,57 kim,eng,62,50 gus,legal,97,34 pam,ops,38,16 max,ops,34,82 bo,hr,43,74 oli,sales,44,28 hal,hr,38,89 cy,eng,112,92 ivy,eng,65,15 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
max,ops,34,82
pam,ops,38,16
lou,ops,39,57correctterminal.fs.tree-v1conf 100% · 868ms · $0.000 · 687 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/build/report.md /proj/docs/main.cfg /proj/docs/notes.cfg /proj/index.log /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p logs/docs-3 touch build/draft-1.log rm util.txt cp index.log logs/docs-3/ cd docs mkdir -p ../../proj/logs/docs-3/docs-2 cd ../../proj/logs/docs-3/docs-2 touch ../../../../proj/logs/util-9.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-1.log
/proj/build/report.md
/proj/docs/main.cfg
/proj/docs/notes.cfg
/proj/index.log
/proj/logs/docs-3/index.log
/proj/logs/util-9.logcorrectterminal.exit.chain-v1conf 100% · 1.0s · $0.000 · 375 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B false && echo C || echo D grep -q dune notes.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
G
Z
exit:0correctterminal.exit.chain-v1conf 100% · 1.0s · $0.000 · 436 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 coral notes.txt && echo A || echo B test -f tmp.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 693ms · $0.000 · 338 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ned,legal,88,87 cy,ops,56,39 dev,ops,7,25 oli,hr,106,70 eli,ops,93,11 max,hr,10,57 fay,ops,21,44 gus,sales,91,94 lou,sales,76,35 jon,ops,97,13 ivy,hr,39,81 kim,sales,84,56 bo,legal,50,25 ana,legal,18,92 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
gus,91
kim,84correctterminal.fs.tree-v1conf 100% · 1.5s · $0.000 · 617 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/conf`): ``` /proj/assets/draft.log /proj/assets/setup.log /proj/logs/todo.txt /proj/main.txt /proj/report.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf/conf-7 mkdir -p conf/build-2 cd assets mv setup.log ./ cd ../../proj touch todo-1.md touch logs/util-9.cfg cd conf/conf-7 mkdir -p ../../../proj/build-1 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft.log
/proj/assets/setup.log
/proj/logs/todo.txt
/proj/logs/util-9.cfg
/proj/main.txt
/proj/report.md
/proj/todo-1.mdcorrectterminal.fs.tree-v1conf 100% · 1.7s · $0.000 · 493 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/logs`): ``` /proj/assets/notes.md /proj/assets/setup.md /proj/conf/report.txt /proj/main.md /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm todo.log cd assets cd ../../proj/logs touch ../../proj/assets/setup-9.txt mkdir -p ../../proj/conf/assets-8 touch ../../proj/conf/report-3.txt cd ../../proj/conf mkdir -p ../../proj/logs/assets-1 cd ../../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.md
/proj/assets/setup-9.txt
/proj/assets/setup.md
/proj/conf/report-3.txt
/proj/conf/report.txt
/proj/main.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.2s · $0.000 · 194 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` bo,legal,5,84 fay,sales,61,78 eli,sales,18,10 jon,hr,96,27 oli,ops,85,91 ana,hr,70,20 lou,eng,26,32 pam,hr,51,35 max,ops,105,90 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
bo,legal,5,84correctterminal.exit.chain-v1conf 100% · 1.8s · $0.000 · 315 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 true && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
G
exit:1correctterminal.fs.tree-v1conf 100% · 1.8s · $0.000 · 503 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/src`, `/proj/conf`): ``` /proj/conf/draft.cfg /proj/report.txt /proj/src/index.txt /proj/src/main.txt /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch logs/main-7.txt cp report.txt src/ touch conf/setup-6.txt mv src/report.txt src/todo-5.cfg cd logs touch ../../proj/conf/report-8.cfg mkdir -p src-3 mkdir -p src-3/assets-2 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/draft.cfg
/proj/conf/report-8.cfg
/proj/conf/setup-6.txt
/proj/logs/main-7.txt
/proj/report.txt
/proj/src/index.txt
/proj/src/main.txt
/proj/src/todo-5.cfg
/proj/util.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.2s · $0.000 · 242 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` hal,eng,107,92 eli,sales,44,38 ned,legal,108,75 fay,hr,13,63 bo,sales,43,72 pam,sales,120,12 dev,eng,62,87 kim,sales,51,61 ana,hr,41,54 ivy,ops,3,69 jon,hr,98,60 lou,eng,54,53 oli,eng,115,16 ``` 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:
ana,hr,41,54
jon,hr,98,60correctterminal.exit.chain-v1conf 100% · 1.3s · $0.000 · 333 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 app.txt && echo A || echo B test -f tmp.txt && echo C || echo D grep -q coral notes.txt && 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:
A
D
F
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 1.4s · $0.000 · 213 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,ops,18,41 eli,ops,64,66 jon,legal,23,86 ana,sales,89,60 oli,sales,28,86 ned,sales,41,21 hal,legal,116,55 lou,eng,23,99 kim,eng,46,89 pam,hr,86,32 bo,eng,16,82 fay,hr,40,32 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
oli,sales,28,86
ned,sales,41,21
ana,sales,89,60correctterminal.fs.tree-v1conf 100% · 1.7s · $0.000 · 977 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/conf`, `/proj/src`): ``` /proj/build/main.log /proj/conf/draft.md /proj/index.txt /proj/report.txt /proj/src/setup.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 cd build mv main.log util-6.md cd ../../proj/conf touch notes-9.cfg mkdir -p ../../proj/src/conf-7 rm ../../proj/src/setup.cfg cd ../../proj/build touch ../../proj/src/util-6.cfg cd ../../proj cp src/util-6.cfg ./ mkdir -p src/conf-7/logs-9 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/util-6.md
/proj/conf/draft.md
/proj/conf/notes-9.cfg
/proj/index.txt
/proj/report.txt
/proj/src/util-6.cfg
/proj/util-6.cfgcorrectterminal.exit.chain-v1conf 100% · 1.2s · $0.000 · 314 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, basil (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D false && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
exit:1correctterminal.fs.tree-v1conf 100% · 2.3s · $0.000 · 403 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/conf`): ``` /proj/assets/util.txt /proj/notes.log /proj/report.log /proj/src/draft.txt /proj/src/setup.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv src/draft.txt conf/ rm conf/draft.txt cd . mv src/setup.md ./ mv setup.md src/ cp notes.log 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/notes.log
/proj/assets/util.txt
/proj/notes.log
/proj/report.log
/proj/src/setup.mdcorrectterminal.pipeline.predict-v1conf 100% · 1.1s · $0.000 · 177 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ned,legal,66,48
hal,ops,49,47
gus,ops,31,70
cy,sales,18,55
max,legal,112,85
bo,hr,118,13
oli,eng,8,50
fay,hr,105,61
eli,ops,35,28
ivy,hr,98,87
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' 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:
115correctterminal.exit.chain-v1conf 100% · 971ms · $0.000 · 297 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f app.txt && echo C || echo D test -f tmp.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
exit:1correctterminal.fs.tree-v1conf 100% · 1.4s · $0.000 · 509 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/logs`, `/proj/build`): ``` /proj/assets/todo.md /proj/build/index.log /proj/draft.md /proj/logs/main.cfg /proj/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm logs/main.cfg mkdir -p build/build-8 touch logs/setup-8.log cd build/build-8 mkdir -p ../../../proj/src-3 touch ../../../proj/index-4.md mkdir -p ../../../proj/src-3/src-7 mv ../../../proj/draft.md ../../../proj/assets/ cd ../../../proj/src-3 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft.md
/proj/assets/todo.md
/proj/build/index.log
/proj/index-4.md
/proj/logs/setup-8.log
/proj/util.cfgcorrectterminal.pipeline.predict-v1conf 100% · 1.5s · $0.000 · 10 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,sales,59,33 oli,sales,115,25 eli,ops,84,78 hal,eng,26,67 ned,ops,47,11 kim,legal,63,39 lou,eng,75,84 dev,ops,9,49 ana,hr,35,66 pam,hr,15,65 max,eng,91,91 fay,ops,98,81 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
kim,63correctterminal.exit.chain-v1conf 100% · 1.2s · $0.000 · 13 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 true && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
Z
exit:0correctterminal.exit.chain-v1conf 100% · 1.7s · $0.000 · 396 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 1.4s · $0.000 · 162 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
max,sales,52,52
dev,eng,3,74
oli,ops,91,67
ana,legal,93,97
eli,sales,56,70
cy,eng,75,24
ivy,hr,101,94
bo,sales,103,32
fay,eng,116,60
lou,legal,14,89
hal,sales,119,24
kim,hr,28,23
```
What is the EXACT stdout of this command?
```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 79 { 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:
0correctterminal.fs.tree-v1conf 100% · 1.1s · $0.000 · 720 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/src`): ``` /proj/docs/index.log /proj/docs/notes.txt /proj/docs/report.md /proj/main.log /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp util.md docs/ mkdir -p docs/conf-3 cd src rm ../../proj/main.log cd . cp ../../proj/docs/index.log ../../proj/docs/conf-3/ mv ../../proj/docs/conf-3/index.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/index.log
/proj/docs/notes.txt
/proj/docs/report.md
/proj/docs/util.md
/proj/src/index.log
/proj/util.mdcorrectterminal.pipeline.predict-v1anchorconf 100% · 1.3s · $0.000 · 345 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.fs.tree-v1anchorconf 100% · 1.6s · $0.000 · 651 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.pipeline.predict-v1anchorconf 100% · 1.5s · $0.000 · 201 tok
model answer:
1correctterminal.exit.chain-v1anchorconf 100% · 700ms · $0.000 · 22 tok
model answer:
B
D
E
G
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