Nous: Hermes 4 405B

nousresearch/hermes-4-405b · nousresearch · context 131 072 · in $1.00/1M · out $3.00/1M

Global Index

438

95% CI [405–470] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	547 [448–646]	0.406	0.67	0.53	0.000	438ms	$1.70
code	244 [184–303]	0.166	0.70	0.33	0.192	301ms	$0.769
instruction following	279 [210–348]	0.210	0.72	0.45	0.365	300ms	$0.227
knowledge	725 [554–897]	0.542	1.00	1.00	0.000	284ms	$0.131
math	531 [431–632]	0.329	0.76	0.70	0.000	309ms	$0.620
multilingual	434 [370–498]	0.184	0.80	0.53	0.000	286ms	$0.162
reasoning	401 [336–466]	0.191	0.79	0.47	0.038	380ms	$0.191
terminal	340 [294–386]	0.091	0.83	0.10	0.000	343ms	$0.380

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 16/30 correct

wrongagentic.tools.ledger-v1conf 100% · 353ms · $0.001 · 186 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $852
- lima: $220
- tango: $342

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $376 from "bravo" to "tango"
2. pay $507 from "lima" to "bravo"
3. pay $438 from "bravo" to "lima"
4. pay $572 from "lima" to "tango"

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

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

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

model answer:

[
  {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 376}},
  {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 287}},
  {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 507}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 438}},
  {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 503}},
  {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 572}}
]

correctagentic.tools.triage-v1conf 100% · 601ms · $0.002 · 340 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 → haddad
- data → chen
- infra → silva

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 7)
2. "invoice total wrong" (category: payments, priority 7)
3. "API latency spikes" (category: infra, priority 8)
4. "refund double-charged" (category: payments, priority 5)

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

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

model answer:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "invoice total wrong",
      "priority": 7
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "haddad"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "invoice total wrong",
      "priority": 7
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "API latency spikes",
      "priority": 8
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-3"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "silva"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "refund double-charged",
      "priority": 5
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-4",
      "agent": "haddad"
    }
  }
]

wrongagentic.tools.context-load-v1conf 100% · 656ms · $0.006 · 1039 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 (168 records, format: id|customer|region|item|qty|status):
```
1552|birch|east|valve|46|paid
1783|harbor|south|cable|97|paid
1438|fulton|east|valve|90|shipped
1415|dorian|west|sensor|50|held
1880|cobalt|north|gasket|60|shipped
1573|ember|north|panel|25|shipped
1291|juno|north|panel|35|pending
1659|ionic|south|panel|72|paid
1295|cobalt|west|valve|29|pending
1873|gale|east|panel|19|shipped
1260|acme|east|gasket|76|paid
1569|juno|east|cable|22|shipped
1830|ember|west|panel|97|pending
1622|fulton|north|pump|66|pending
1836|birch|west|sensor|40|pending
1841|harbor|south|rotor|62|shipped
1256|harbor|east|cable|19|shipped
1417|ionic|west|panel|14|paid
1590|acme|east|gasket|23|held
1641|ionic|east|sensor|88|pending
1803|ember|east|panel|59|shipped
1887|gale|north|sensor|17|held
1221|harbor|east|pump|21|pending
1768|dorian|west|panel|67|shipped
1233|harbor|east|frame|52|paid
1846|dorian|east|sensor|80|held
1820|ionic|south|cable|99|held
1646|harbor|west|cable|15|pending
1735|harbor|west|pump|16|pending
1508|birch|north|valve|15|paid
1667|harbor|east|panel|99|held
1318|fulton|east|rotor|89|pending
1671|gale|south|frame|99|pending
1312|juno|west|rotor|25|pending
1601|acme|north|panel|87|pending
1685|birch|east|panel|84|shipped
1708|juno|east|gasket|37|shipped
1362|gale|north|rotor|74|held
1489|cobalt|east|cable|42|paid
1779|fulton|east|frame|37|pending
1616|gale|west|frame|42|shipped
1606|birch|south|gasket|77|held
1555|ember|east|panel|72|shipped
1747|harbor|north|pump|48|held
1468|harbor|south|cable|36|shipped
1501|dorian|north|rotor|85|held
1264|juno|east|pump|65|held
1223|harbor|north|rotor|70|pending
1375|ember|west|cable|15|held
1534|fulton|north|gasket|47|shipped
1254|harbor|south|cable|22|pending
1229|harbor|north|sensor|48|pending
1241|harbor|south|pump|57|pending
1724|ember|north|panel|83|shipped
1652|ionic|west|sensor|68|pending
1676|juno|north|panel|54|paid
1471|gale|west|panel|49|paid
1814|fulton|east|frame|68|paid
1416|fulton|east|pump|31|paid
1647|dorian|west|valve|88|pending
1242|harbor|east|panel|78|held
1683|ember|east|cable|15|shipped
1562|fulton|west|panel|17|paid
1541|dorian|east|rotor|59|paid
1320|gale|east|valve|48|shipped
1224|harbor|east|gasket|89|held
1522|birch|east|panel|98|paid
1608|juno|south|rotor|66|shipped
1787|birch|north|gasket|99|held
1761|dorian|south|sensor|83|shipped
1347|ionic|north|valve|26|pending
1516|acme|north|pump|45|pending
1413|dorian|north|pump|29|shipped
1449|harbor|west|panel|70|pending
1285|ember|south|panel|61|paid
1374|ionic|east|cable|71|held
1238|harbor|east|panel|99|pending
1460|ember|east|cable|63|held
1307|fulton|south|gasket|74|paid
1437|acme|west|pump|93|held
1328|dorian|west|gasket|60|paid
1278|acme|east|rotor|30|shipped
1866|acme|south|panel|35|shipped
1406|fulton|south|rotor|35|held
1714|dorian|west|gasket|99|held
1701|harbor|east|cable|15|held
1482|fulton|south|gasket|44|held
1740|ionic|east|gasket|83|paid
1507|gale|west|gasket|63|held
1872|fulton|west|gasket|57|shipped
1322|harbor|east|cable|62|held
1727|dorian|south|sensor|44|paid
1274|gale|north|gasket|85|shipped
1526|ionic|east|rotor|18|pending
1583|dorian|south|sensor|36|paid
1414|ionic|east|gasket|17|held
1871|fulton|west|pump|48|paid
1475|acme|south|gasket|73|pending
1792|ionic|south|gasket|11|held
1777|juno|north|panel|89|shipped
1426|dorian|north|cable|82|pending
1400|harbor|east|valve|41|held
1859|acme|west|pump|75|pending
1249|harbor|east|cable|63|pending
1340|birch|south|valve|20|held
1533|acme|east|rotor|69|paid
1605|juno|west|panel|85|paid
1869|acme|east|pump|45|pending
1772|birch|south|rotor|46|held
1650|fulton|north|frame|37|paid
1354|acme|east|frame|28|paid
1304|acme|east|panel|61|held
1580|harbor|east|panel|96|held
1272|fulton|east|valve|47|shipped
1333|ionic|north|gasket|69|held
1442|ember|east|rotor|30|pending
1632|fulton|south|valve|17|held
1711|fulton|east|valve|57|held
1424|gale|north|panel|73|shipped
1729|gale|west|cable|25|paid
1269|gale|north|frame|64|held
1751|dorian|north|sensor|13|held
1633|dorian|north|cable|53|paid
1225|harbor|east|gasket|13|pending
1796|gale|south|pump|99|pending
1393|fulton|east|panel|25|pending
1596|acme|south|rotor|72|pending
1615|ember|west|gasket|89|paid
1755|birch|north|sensor|84|pending
1386|birch|west|frame|59|pending
1455|juno|south|valve|48|paid
1702|gale|north|sensor|39|held
1696|ember|south|valve|56|paid
1420|ember|north|frame|67|shipped
1518|harbor|south|gasket|45|paid
1878|dorian|south|pump|69|pending
1626|dorian|south|valve|86|held
1660|birch|west|valve|35|shipped
1886|cobalt|west|rotor|75|pending
1854|harbor|east|gasket|93|held
1464|juno|south|gasket|46|pending
1577|fulton|east|gasket|56|paid
1661|harbor|west|cable|30|shipped
1689|gale|east|panel|78|pending
1807|harbor|east|cable|95|shipped
1451|juno|west|frame|92|paid
1703|acme|south|sensor|50|pending
1368|ionic|east|rotor|15|shipped
1546|dorian|east|valve|28|held
1358|gale|south|valve|82|paid
1480|gale|south|cable|30|paid
1399|fulton|north|cable|20|held
1431|cobalt|west|cable|73|shipped
1640|ember|south|sensor|89|pending
1827|ember|north|pump|15|pending
1797|harbor|south|pump|35|paid
1381|fulton|south|frame|70|held
1432|dorian|west|cable|89|paid
1495|acme|west|frame|27|held
1673|gale|south|cable|37|shipped
1849|acme|north|valve|85|pending
1718|birch|south|frame|76|held
1302|birch|north|gasket|69|held
1317|ember|west|frame|91|paid
1515|fulton|north|gasket|41|paid
1832|gale|east|sensor|48|held
1553|harbor|west|rotor|20|shipped
1654|harbor|north|gasket|96|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[
  {
    "tool": "cancel_order",
    "args": { "order_id": 1221 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1223 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1224 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1225 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1229 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1241 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1242 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1249 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1254 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1295 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1318 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1322 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1362 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1374 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1393 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1400 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1460 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1522 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1580 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1590 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1608 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1641 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1646 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1652 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1667 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1689 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1701 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1735 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1779 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1796 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1807 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1820 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1836 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1854 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1859 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1869 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1871 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1872 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1878 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1886 }
  },
  {
    "tool": "cancel_order",
    "args": { "order_id": 1887 }
  }
]

wrongagentic.tools.context-load-v1conf 100% · 709ms · $0.003 · 138 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 (167 records, format: id|customer|region|item|qty|status):
```
1268|dorian|south|valve|70|held
1549|birch|east|cable|11|paid
1590|fulton|south|panel|43|held
1836|gale|east|rotor|40|pending
1638|harbor|east|rotor|65|held
1500|birch|west|pump|61|pending
1748|ionic|west|gasket|68|pending
1307|cobalt|east|gasket|61|paid
1642|ionic|south|frame|52|held
1781|acme|south|sensor|75|shipped
1482|birch|north|cable|44|pending
1894|cobalt|south|valve|22|pending
1710|fulton|south|sensor|37|paid
1678|dorian|west|gasket|90|held
1330|ember|south|gasket|98|held
1778|ember|east|pump|84|paid
1262|dorian|east|valve|50|pending
1850|fulton|west|rotor|79|shipped
1849|ember|south|frame|71|shipped
1323|acme|east|frame|52|shipped
1347|cobalt|south|pump|17|held
1717|harbor|west|sensor|29|pending
1304|cobalt|south|valve|55|paid
1795|dorian|south|panel|81|paid
1699|ember|north|gasket|91|pending
1866|dorian|west|valve|27|shipped
1254|dorian|south|sensor|90|shipped
1665|ionic|north|pump|88|shipped
1887|ember|north|rotor|83|pending
1501|fulton|south|sensor|58|shipped
1284|dorian|west|pump|89|held
1573|fulton|east|cable|89|held
1806|harbor|south|sensor|19|shipped
1379|ember|east|pump|82|pending
1801|harbor|north|panel|58|shipped
1527|juno|west|valve|17|pending
1753|fulton|south|rotor|30|held
1765|harbor|north|gasket|12|held
1788|gale|east|rotor|98|paid
1521|birch|north|frame|47|paid
1541|ionic|west|sensor|27|shipped
1551|dorian|north|gasket|98|shipped
1489|cobalt|west|panel|91|paid
1563|harbor|north|valve|10|held
1245|dorian|south|valve|78|pending
1691|ember|west|frame|82|pending
1410|fulton|east|panel|26|pending
1509|harbor|south|sensor|11|shipped
1700|fulton|east|panel|47|pending
1294|ember|north|panel|44|paid
1556|juno|north|cable|28|pending
1856|acme|east|pump|52|paid
1455|dorian|west|rotor|22|held
1633|juno|east|sensor|37|pending
1328|ionic|west|pump|12|paid
1533|juno|south|panel|85|held
1582|ionic|north|gasket|27|paid
1757|birch|east|valve|89|paid
1882|ember|east|cable|59|shipped
1671|dorian|east|cable|71|shipped
1466|dorian|north|panel|20|shipped
1535|dorian|south|gasket|96|pending
1444|ember|south|sensor|62|paid
1360|fulton|east|pump|67|paid
1403|juno|west|valve|67|held
1345|cobalt|west|sensor|76|shipped
1338|ionic|north|rotor|81|shipped
1317|ember|west|pump|83|paid
1599|ionic|north|gasket|62|pending
1313|ember|north|gasket|73|shipped
1733|fulton|north|frame|97|held
1814|fulton|north|frame|18|pending
1250|dorian|north|frame|48|pending
1383|harbor|west|pump|93|shipped
1495|gale|north|cable|99|pending
1272|dorian|south|rotor|14|shipped
1374|juno|south|gasket|48|held
1333|cobalt|west|gasket|64|pending
1606|ember|east|cable|56|pending
1271|dorian|north|frame|35|pending
1843|gale|south|panel|39|paid
1273|gale|north|sensor|18|paid
1390|ionic|north|frame|66|pending
1863|dorian|west|gasket|64|shipped
1471|ember|south|pump|27|shipped
1870|cobalt|south|cable|10|shipped
1331|dorian|south|panel|64|paid
1486|dorian|north|frame|77|pending
1654|dorian|east|frame|50|held
1452|juno|west|pump|89|paid
1794|fulton|north|valve|66|shipped
1270|dorian|south|valve|24|pending
1608|acme|east|rotor|33|paid
1418|ionic|east|panel|89|shipped
1585|fulton|south|pump|81|pending
1662|gale|east|frame|51|held
1461|harbor|west|gasket|89|pending
1741|fulton|south|pump|34|paid
1808|ember|south|gasket|79|paid
1724|birch|north|valve|74|paid
1826|juno|west|rotor|55|shipped
1677|harbor|east|panel|86|paid
1596|ionic|west|valve|42|shipped
1687|juno|south|frame|49|paid
1362|juno|south|cable|53|paid
1481|birch|north|gasket|72|shipped
1761|dorian|east|pump|34|held
1772|acme|south|cable|31|shipped
1340|acme|south|valve|54|pending
1626|dorian|west|rotor|29|shipped
1419|cobalt|east|frame|59|pending
1819|cobalt|north|rotor|88|shipped
1483|juno|west|cable|80|shipped
1864|ember|south|gasket|66|pending
1779|gale|west|rotor|38|pending
1502|cobalt|west|rotor|70|held
1547|cobalt|south|panel|43|pending
1287|ember|west|cable|18|paid
1708|ember|south|cable|68|held
1867|birch|west|rotor|98|paid
1631|juno|south|cable|36|pending
1260|dorian|south|pump|10|pending
1595|juno|north|rotor|66|held
1884|ionic|north|panel|56|shipped
1280|harbor|north|cable|81|shipped
1393|dorian|east|frame|77|shipped
1378|harbor|west|pump|87|held
1475|dorian|north|sensor|30|paid
1624|gale|north|rotor|36|pending
1702|juno|west|panel|25|held
1877|ember|north|valve|98|pending
1848|juno|east|valve|87|pending
1593|juno|north|frame|64|shipped
1369|ionic|north|cable|87|shipped
1652|acme|north|valve|30|paid
1363|juno|south|rotor|80|pending
1655|harbor|south|valve|95|held
1602|ember|west|gasket|93|pending
1399|ionic|west|panel|50|shipped
1576|birch|east|sensor|50|paid
1588|cobalt|west|cable|27|shipped
1569|ionic|west|cable|81|paid
1681|cobalt|east|valve|11|paid
1597|cobalt|south|pump|22|pending
1353|gale|north|sensor|15|shipped
1693|ionic|south|frame|74|held
1734|fulton|south|cable|14|paid
1449|birch|west|gasket|60|pending
1871|acme|east|sensor|94|shipped
1830|birch|east|frame|48|pending
1896|acme|north|valve|69|shipped
1406|ember|east|sensor|98|pending
1635|birch|north|panel|13|held
1646|harbor|south|cable|14|paid
1439|harbor|east|cable|97|held
1731|dorian|west|sensor|64|held
1618|fulton|west|gasket|80|held
1686|cobalt|north|gasket|84|held
1426|harbor|east|cable|26|shipped
1873|dorian|south|frame|84|held
1432|juno|south|sensor|79|paid
1300|juno|west|gasket|46|shipped
1411|ionic|north|sensor|74|shipped
1611|birch|west|rotor|42|held
1740|ember|south|pump|46|pending
1343|birch|west|panel|69|pending
1514|juno|south|panel|65|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 > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[
  {
    "tool": "restock",
    "args": {
      "item": "valve",
      "qty": 78
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "gasket",
      "qty": 96
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1270
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1260
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 10.0s · $0.001 · 96 tok

question

You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "notifier"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "health_check", "args": {"service": "reports"}},
  {"tool": "deploy", "args": {"service": "billing"}}
]

wrongagentic.tools.ledger-v1conf 100% · 917ms · $0.001 · 160 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- oscar: $781
- bravo: $679
- lima: $724

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $110 from "lima" to "bravo"
2. pay $343 from "bravo" to "lima"
3. pay $596 from "oscar" to "lima"
4. pay $326 from "bravo" 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": "lima", "to": "bravo", "amount": 110}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 343}},
  {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 15}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 596}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 326}}
]

correctagentic.tools.triage-v1conf 100% · 471ms · $0.001 · 235 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 7)
2. "API latency spikes" (category: infra, priority 3)
3. "API latency spikes" (category: infra, priority 3)

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

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

model answer:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "cannot reset password",
      "priority": 7
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "dubois"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "API latency spikes",
      "priority": 3
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-2",
      "agent": "okafor"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "API latency spikes",
      "priority": 3
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-3",
      "resolution": "duplicate of TCK-2"
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 438ms · $0.001 · 141 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

model answer:

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

correctagentic.tools.triage-v1conf 100% · 258ms · $0.001 · 268 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 → dubois
- data → haddad
- payments → novak

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 6)
2. "uploads failing intermittently" (category: infra, priority 6)
3. "card declined at checkout" (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": "uploads failing intermittently",
      "priority": 6
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "dubois"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "uploads failing intermittently",
      "priority": 6
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "card declined at checkout",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-3"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "novak"
    }
  }
]

wrongagentic.tools.ledger-v1conf 100% · 647ms · $0.001 · 185 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $145
- alpha: $864
- lima: $211

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $100 from "lima" to "tango"
2. pay $441 from "alpha" to "lima"
3. pay $310 from "lima" to "alpha"
4. pay $272 from "alpha" to "lima"
5. pay $322 from "alpha" 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": "lima", "to": "tango", "amount": 100}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 441}},
  {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 310}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 272}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 1}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 322}}
]

wrongagentic.tools.context-load-v1conf 100% · 749ms · $0.004 · 69 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (221 records, format: id|customer|region|item|qty|status):
```
1943|dorian|west|sensor|79|held
1270|fulton|south|gasket|88|held
2030|dorian|south|rotor|11|pending
1926|ionic|north|pump|22|paid
1241|dorian|north|cable|92|shipped
1742|fulton|east|frame|36|held
1452|ember|north|cable|36|shipped
2051|fulton|south|pump|16|paid
1198|juno|south|cable|56|pending
1785|fulton|south|cable|79|held
1635|cobalt|east|cable|92|shipped
1966|ionic|west|sensor|75|shipped
1720|acme|north|pump|30|paid
1309|juno|east|cable|47|pending
1549|acme|east|sensor|60|paid
1222|juno|south|cable|18|shipped
1683|juno|north|frame|18|paid
1689|birch|east|rotor|26|held
2047|juno|south|valve|89|paid
1402|fulton|west|sensor|79|held
1697|gale|north|gasket|18|paid
1729|fulton|north|sensor|87|pending
1479|acme|north|gasket|58|held
1187|juno|east|panel|74|pending
1889|harbor|west|frame|40|shipped
1505|ionic|north|cable|32|held
1977|dorian|east|pump|61|paid
1938|ember|east|valve|18|shipped
1533|harbor|east|rotor|48|held
1491|birch|west|pump|21|paid
1906|gale|east|valve|71|held
1703|harbor|south|valve|41|held
1717|birch|south|cable|15|paid
1949|birch|east|valve|74|held
1792|fulton|east|cable|10|pending
1307|ionic|south|panel|82|paid
1204|juno|north|pump|12|pending
1384|ember|east|gasket|35|pending
1235|juno|south|gasket|63|shipped
1927|ember|east|gasket|74|shipped
1806|dorian|east|panel|20|shipped
1865|acme|west|valve|20|shipped
1559|acme|east|frame|45|pending
1339|dorian|north|sensor|66|paid
1952|fulton|north|pump|25|paid
1857|acme|east|pump|32|shipped
1511|acme|west|cable|99|held
1708|ionic|north|gasket|76|held
1353|acme|east|sensor|24|pending
1858|gale|east|frame|82|held
1993|cobalt|west|cable|88|pending
1400|gale|south|panel|88|pending
1712|harbor|south|valve|46|held
1304|juno|north|frame|21|shipped
1933|harbor|north|sensor|94|paid
1998|cobalt|west|pump|16|pending
2065|juno|north|gasket|62|held
1961|harbor|east|panel|21|shipped
1412|harbor|west|frame|82|pending
1591|cobalt|south|panel|56|paid
1255|cobalt|south|frame|78|pending
2040|ember|east|pump|26|held
1877|dorian|east|pump|51|shipped
2038|ionic|north|frame|75|shipped
1871|juno|south|panel|86|paid
1529|fulton|north|panel|71|paid
1238|harbor|north|sensor|77|shipped
1515|fulton|east|pump|30|pending
1296|juno|east|panel|26|pending
1662|juno|south|frame|14|held
1472|birch|north|rotor|20|held
1676|dorian|north|sensor|47|pending
1588|ember|north|frame|64|held
1757|gale|east|frame|94|held
1691|ionic|west|sensor|73|shipped
1405|ember|east|sensor|29|paid
1468|ember|south|gasket|79|held
1716|ionic|north|frame|66|paid
1548|juno|west|frame|72|pending
1800|harbor|north|cable|41|paid
1880|harbor|south|pump|66|held
1527|acme|north|sensor|97|paid
1818|fulton|north|cable|44|pending
1406|juno|east|pump|59|pending
1597|ionic|west|valve|85|held
1868|harbor|south|gasket|11|paid
1896|ember|south|valve|51|paid
1360|ionic|west|frame|95|paid
1394|cobalt|south|rotor|89|held
2016|ember|west|gasket|23|shipped
1376|fulton|south|rotor|42|held
1645|gale|east|pump|81|held
1749|acme|south|pump|95|shipped
1810|gale|north|pump|70|held
2002|acme|south|panel|91|shipped
2026|ionic|west|gasket|41|paid
1444|ionic|west|rotor|30|held
1280|ionic|west|valve|88|paid
1416|gale|north|panel|68|pending
1596|juno|east|valve|59|shipped
1342|ember|west|rotor|68|held
1217|juno|west|frame|93|pending
1359|juno|north|frame|68|pending
1768|gale|south|frame|27|shipped
1610|dorian|east|frame|23|pending
2027|fulton|east|sensor|80|pending
1937|fulton|east|pump|49|held
1775|dorian|north|pump|48|held
1553|ember|west|valve|47|paid
1208|juno|south|frame|50|shipped
1630|juno|south|valve|49|shipped
1793|ember|south|rotor|35|shipped
1778|harbor|south|cable|36|held
1431|juno|south|rotor|88|held
1437|birch|east|pump|21|pending
2007|dorian|north|gasket|19|paid
1229|juno|south|cable|26|pending
1483|birch|south|sensor|55|pending
1250|juno|south|sensor|38|paid
1233|juno|east|frame|46|pending
1951|juno|north|frame|59|shipped
1677|ionic|north|sensor|86|pending
1330|harbor|south|rotor|99|pending
1327|ionic|north|rotor|10|pending
1568|birch|west|panel|64|pending
1348|fulton|east|panel|53|paid
1314|gale|east|frame|13|pending
1261|ember|north|cable|27|paid
1929|harbor|west|pump|12|paid
1293|ionic|east|sensor|87|pending
1494|fulton|east|cable|26|paid
1615|acme|north|frame|94|held
1265|cobalt|south|gasket|54|paid
1761|dorian|east|cable|93|pending
1627|gale|north|rotor|40|pending
2059|acme|west|frame|14|paid
1363|cobalt|south|pump|84|paid
1404|harbor|east|gasket|39|pending
1521|cobalt|west|frame|49|shipped
1381|cobalt|south|gasket|80|pending
1924|acme|south|valve|55|pending
2031|acme|east|rotor|57|shipped
1246|dorian|east|rotor|74|paid
1665|dorian|north|cable|70|paid
2070|gale|north|gasket|81|shipped
1736|harbor|west|gasket|66|shipped
1989|ionic|west|sensor|66|paid
2009|acme|west|gasket|41|shipped
1297|acme|north|frame|80|held
1332|juno|east|sensor|66|held
1835|ember|south|pump|14|held
1848|harbor|north|valve|27|paid
1599|fulton|north|gasket|22|held
1851|ionic|east|gasket|64|shipped
1469|ember|east|sensor|41|shipped
1900|acme|west|rotor|75|pending
1531|cobalt|south|cable|55|paid
1462|cobalt|west|panel|95|paid
1854|fulton|south|frame|74|pending
1500|cobalt|east|valve|28|pending
1451|juno|south|cable|93|shipped
1727|juno|east|valve|59|shipped
1783|birch|south|frame|27|paid
1355|cobalt|south|gasket|90|held
1825|juno|west|cable|11|paid
1420|acme|north|gasket|17|shipped
1459|acme|east|panel|52|paid
1570|ionic|south|valve|27|paid
1447|birch|south|valve|78|shipped
1574|ionic|west|panel|69|pending
1441|cobalt|north|gasket|23|held
1917|juno|north|sensor|88|paid
1391|birch|south|cable|70|shipped
1370|cobalt|north|pump|69|held
1477|ember|west|cable|23|held
1603|fulton|east|cable|11|held
1814|gale|west|sensor|79|held
1970|juno|south|frame|66|held
1827|fulton|east|rotor|12|shipped
1320|juno|north|rotor|15|shipped
1978|acme|north|sensor|69|paid
1490|dorian|north|frame|20|shipped
1539|cobalt|south|rotor|92|shipped
1983|harbor|east|panel|65|paid
1276|cobalt|south|gasket|36|paid
1545|ionic|west|gasket|54|held
1563|ember|east|frame|10|pending
1213|juno|south|gasket|43|pending
1425|juno|west|panel|19|shipped
1622|dorian|south|pump|12|paid
1639|harbor|east|cable|37|shipped
1414|ember|west|gasket|78|paid
1671|cobalt|south|cable|21|pending
1661|cobalt|north|frame|47|held
1581|juno|west|cable|98|shipped
1286|cobalt|west|gasket|12|paid
2023|harbor|east|valve|15|pending
1337|ionic|west|cable|34|paid
1912|harbor|west|valve|37|held
1883|birch|east|rotor|26|paid
1973|ionic|south|cable|91|held
1953|dorian|north|valve|39|shipped
1802|ember|west|cable|49|paid
1467|gale|east|rotor|20|pending
2057|gale|west|valve|95|paid
1651|gale|west|sensor|91|paid
1262|ionic|east|rotor|46|shipped
1180|juno|south|gasket|95|pending
1837|harbor|west|frame|92|held
1383|gale|south|panel|22|held
1193|juno|south|pump|98|shipped
1960|dorian|east|sensor|87|paid
1860|acme|west|pump|12|held
1656|juno|east|frame|67|pending
1471|cobalt|north|sensor|97|paid
1751|cobalt|south|panel|14|shipped
1322|ember|east|frame|64|pending
2076|birch|north|pump|41|shipped
1579|ionic|west|gasket|24|held
1844|dorian|south|frame|99|held
1829|cobalt|south|gasket|51|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 53, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[
  {
    "tool": "cancel_order",
    "args": { "order_id": 1229 }
  },
  {
    "tool": "restock",
    "args": { "item": "gasket", "qty": 95 }
  }
]

correctagentic.tools.triage-v1conf 100% · 275ms · $0.001 · 236 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 → okafor
- payments → silva

INCIDENTS:
1. "cannot reset password" (category: auth, priority 7)
2. "uploads failing intermittently" (category: infra, priority 4)
3. "uploads failing intermittently" (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": 7
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "chen"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "uploads failing intermittently",
      "priority": 4
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-2",
      "agent": "okafor"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "uploads failing intermittently",
      "priority": 4
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-3",
      "resolution": "duplicate of TCK-2"
    }
  }
]

wrongagentic.tools.ledger-v1conf 100% · 3.4s · $0.001 · 157 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $245
- alpha: $686
- bravo: $463

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $158 from "lima" to "bravo"
2. pay $526 from "alpha" to "bravo"
3. pay $387 from "bravo" to "lima"
4. pay $389 from "alpha" 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": "lima", "to": "bravo", "amount": 158}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 526}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 387}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 203}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 389}}
]

correctagentic.tools.deploy-v1conf 100% · 278ms · $0.001 · 95 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: search
- search: (none)
- notifier: gateway, search
- billing: gateway

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

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

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

model answer:

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

wrongagentic.tools.context-load-v1conf 100% · 665ms · $0.004 · 243 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (185 records, format: id|customer|region|item|qty|status):
```
1458|fulton|west|frame|76|pending
1547|ionic|east|frame|82|shipped
1524|juno|north|gasket|86|pending
1339|acme|west|gasket|67|shipped
1468|fulton|west|pump|74|held
1869|ionic|east|valve|40|paid
1855|ionic|east|panel|25|paid
1473|gale|east|frame|78|held
1815|dorian|west|valve|46|paid
1257|dorian|east|rotor|95|shipped
1614|dorian|west|pump|94|shipped
1701|juno|north|valve|31|paid
1480|dorian|east|rotor|92|held
1871|dorian|south|valve|70|held
1455|harbor|east|gasket|11|held
1839|ember|north|pump|26|held
1822|ionic|east|frame|82|shipped
1719|juno|east|frame|69|pending
1709|fulton|south|panel|42|held
1890|harbor|west|valve|84|held
1618|birch|west|valve|63|paid
1454|ionic|south|rotor|49|shipped
1512|acme|west|gasket|77|shipped
1744|ember|south|pump|27|held
1530|gale|north|frame|92|paid
1820|ember|west|sensor|65|pending
1201|fulton|south|panel|27|shipped
1356|ember|west|sensor|83|held
1734|ionic|north|rotor|54|pending
1262|fulton|west|gasket|52|pending
1723|fulton|west|valve|81|paid
1419|fulton|south|gasket|96|paid
1645|harbor|south|frame|93|held
1862|ember|west|rotor|85|held
1559|acme|north|sensor|24|pending
1772|acme|east|cable|31|pending
1236|fulton|south|pump|29|shipped
1463|harbor|north|gasket|70|pending
1374|acme|east|valve|27|held
1452|dorian|east|sensor|67|pending
1292|juno|south|sensor|43|held
1877|acme|east|sensor|77|held
1403|fulton|west|panel|72|pending
1306|fulton|south|valve|78|paid
1879|dorian|south|sensor|68|pending
1666|cobalt|east|frame|24|held
1317|birch|south|pump|41|pending
1826|fulton|south|panel|96|shipped
1769|juno|south|valve|42|paid
1386|ionic|south|frame|51|shipped
1617|dorian|east|rotor|24|shipped
1750|harbor|east|valve|94|shipped
1669|ionic|east|cable|65|held
1595|harbor|south|gasket|24|shipped
1853|gale|west|valve|90|shipped
1523|harbor|south|panel|22|held
1526|dorian|north|rotor|63|shipped
1604|acme|north|frame|49|pending
1653|ionic|east|frame|24|shipped
1756|ionic|north|valve|69|held
1624|dorian|east|cable|50|shipped
1299|acme|west|sensor|50|pending
1487|cobalt|east|cable|22|shipped
1362|gale|south|gasket|41|pending
1230|fulton|west|sensor|80|pending
1413|fulton|north|pump|38|paid
1830|cobalt|east|sensor|15|held
1718|dorian|north|sensor|34|paid
1585|ember|south|valve|81|held
1715|harbor|east|sensor|84|paid
1365|harbor|east|gasket|49|shipped
1809|gale|west|rotor|22|paid
1554|juno|west|gasket|65|pending
1742|ember|west|valve|52|paid
1625|dorian|south|valve|89|paid
1798|fulton|east|panel|24|paid
1216|fulton|south|panel|68|shipped
1542|dorian|south|sensor|58|held
1805|birch|south|frame|86|held
1284|gale|south|panel|64|held
1249|ember|west|valve|77|paid
1600|gale|south|panel|44|held
1344|ember|north|frame|98|paid
1227|fulton|south|gasket|73|paid
1470|ionic|north|valve|81|pending
1456|fulton|east|sensor|71|held
1570|juno|north|cable|44|shipped
1219|fulton|south|gasket|52|pending
1351|dorian|south|frame|37|pending
1283|ember|west|rotor|38|shipped
1704|acme|west|sensor|45|shipped
1347|gale|west|sensor|47|paid
1801|gale|south|valve|97|shipped
1519|juno|west|valve|77|held
1500|ionic|south|valve|26|paid
1727|harbor|north|gasket|46|pending
1246|cobalt|south|rotor|88|shipped
1360|fulton|east|frame|12|pending
1313|gale|south|pump|58|held
1764|ember|south|pump|80|paid
1397|birch|north|panel|94|shipped
1507|cobalt|north|pump|96|held
1635|birch|east|gasket|42|paid
1843|acme|east|valve|54|held
1383|juno|north|cable|15|shipped
1619|birch|east|sensor|15|held
1197|fulton|north|valve|29|pending
1777|fulton|south|cable|85|pending
1874|birch|north|cable|99|paid
1275|fulton|west|valve|56|held
1408|gale|west|panel|91|paid
1590|ionic|north|frame|95|pending
1735|ember|north|panel|97|held
1243|ember|east|pump|16|paid
1797|cobalt|east|gasket|30|paid
1672|acme|north|rotor|91|shipped
1544|juno|south|pump|42|shipped
1426|ionic|west|panel|23|paid
1449|cobalt|south|valve|49|shipped
1282|ionic|north|panel|10|shipped
1391|cobalt|east|sensor|79|pending
1646|dorian|east|sensor|90|shipped
1579|fulton|west|sensor|75|shipped
1847|juno|west|sensor|93|shipped
1689|dorian|north|rotor|14|held
1536|acme|south|rotor|64|paid
1296|ionic|east|cable|39|pending
1488|ionic|south|rotor|83|paid
1268|ionic|north|gasket|80|shipped
1724|acme|west|sensor|86|held
1379|ember|north|valve|31|held
1206|fulton|south|rotor|53|pending
1694|cobalt|west|gasket|72|paid
1229|fulton|south|frame|52|pending
1329|ember|north|sensor|24|shipped
1606|fulton|south|rotor|26|paid
1193|fulton|south|sensor|18|pending
1443|dorian|south|valve|11|held
1833|fulton|east|cable|43|held
1442|birch|north|gasket|91|paid
1494|fulton|north|cable|46|held
1885|juno|south|cable|77|held
1675|cobalt|west|sensor|52|shipped
1380|cobalt|west|sensor|80|paid
1395|ember|north|sensor|36|held
1288|ionic|north|gasket|52|paid
1785|juno|west|gasket|49|paid
1334|harbor|north|panel|21|held
1757|juno|east|cable|42|held
1612|birch|east|panel|79|shipped
1498|harbor|north|pump|31|pending
1568|fulton|east|frame|62|shipped
1642|acme|east|panel|74|shipped
1761|harbor|east|panel|91|shipped
1573|ionic|east|valve|85|shipped
1790|harbor|west|gasket|29|shipped
1631|ember|east|pump|45|paid
1682|acme|west|rotor|27|shipped
1611|acme|north|panel|29|shipped
1755|fulton|west|sensor|62|shipped
1620|gale|west|panel|79|paid
1434|birch|north|pump|25|paid
1598|harbor|south|cable|30|paid
1302|acme|east|frame|69|pending
1253|dorian|east|pump|45|pending
1440|acme|west|gasket|68|paid
1254|ionic|south|rotor|13|shipped
1683|acme|north|panel|57|paid
1660|ember|east|valve|26|shipped
1323|gale|west|gasket|78|held
1274|fulton|east|cable|97|paid
1308|cobalt|east|panel|90|shipped
1212|fulton|east|panel|24|pending
1623|ionic|south|gasket|18|paid
1651|birch|west|pump|80|held
1431|ionic|east|sensor|36|held
1309|ionic|north|valve|13|pending
1578|juno|south|pump|51|shipped
1371|ember|north|sensor|10|shipped
1226|fulton|north|panel|28|pending
1304|ember|north|pump|22|shipped
1565|acme|north|frame|64|paid
1338|cobalt|north|gasket|36|pending
1539|dorian|east|sensor|58|held
1781|juno|west|gasket|46|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 50, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[
  {
    "tool": "restock",
    "args": {
      "item": "panel",
      "qty": 27
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "gasket",
      "qty": 52
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "sensor",
      "qty": 18
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "cable",
      "qty": 85
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "frame",
      "qty": 52
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "rotor",
      "qty": 53
    }
  },
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1226
    }
  }
]

correctagentic.tools.triage-v1conf 100% · 315ms · $0.001 · 237 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 → haddad
- infra → dubois
- data → novak

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 8)
2. "invoice total wrong" (category: payments, priority 8)
3. "records missing after import" (category: data, priority 6)

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

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

model answer:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "invoice total wrong",
      "priority": 8
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "haddad"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "invoice total wrong",
      "priority": 8
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "records missing after import",
      "priority": 6
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "novak"
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 271ms · $0.001 · 96 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

wrongagentic.tools.ledger-v1conf 100% · 322ms · $0.001 · 183 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: $317
- oscar: $569
- kilo: $333

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $172 from "oscar" to "alpha"
2. pay $443 from "kilo" to "oscar"
3. pay $574 from "oscar" to "kilo"
4. pay $529 from "alpha" to "oscar"

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

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

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

model answer:

[
  {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 172}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 443}},
  {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 5}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 574}},
  {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 212}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 529}}
]

wrongagentic.tools.context-load-v1conf 100% · 618ms · $0.003 · 110 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (134 records, format: id|customer|region|item|qty|status):
```
1217|ember|north|panel|69|shipped
1466|birch|east|valve|81|pending
1394|gale|north|panel|53|held
1486|birch|west|rotor|87|held
1224|ember|north|valve|19|pending
1681|juno|north|valve|15|shipped
1231|juno|east|cable|52|paid
1289|fulton|south|rotor|52|shipped
1683|acme|west|panel|41|paid
1188|ember|west|rotor|27|pending
1461|gale|south|cable|90|held
1366|harbor|west|valve|72|held
1276|birch|south|cable|13|shipped
1317|cobalt|north|frame|65|paid
1536|juno|south|frame|49|held
1194|ember|east|frame|25|pending
1694|juno|south|cable|17|held
1326|ionic|west|rotor|48|pending
1475|ember|east|cable|99|pending
1662|juno|north|frame|80|shipped
1473|dorian|south|cable|10|paid
1635|dorian|north|panel|43|shipped
1333|birch|east|rotor|63|paid
1339|juno|east|gasket|40|shipped
1444|ember|east|pump|51|shipped
1519|ionic|south|rotor|18|held
1296|juno|north|valve|94|held
1229|ember|west|panel|93|pending
1634|cobalt|north|rotor|27|held
1373|ember|north|pump|81|held
1644|birch|north|sensor|67|pending
1533|birch|south|valve|23|held
1561|dorian|west|pump|36|paid
1568|harbor|east|frame|81|held
1422|dorian|south|sensor|75|paid
1269|cobalt|west|sensor|63|held
1364|ember|east|cable|16|paid
1414|acme|west|pump|83|shipped
1319|ember|north|sensor|93|shipped
1619|dorian|west|cable|42|paid
1357|ionic|south|panel|29|paid
1391|dorian|east|cable|41|held
1234|fulton|east|valve|29|shipped
1507|ionic|south|gasket|53|shipped
1190|ember|north|pump|82|paid
1609|dorian|south|sensor|40|held
1494|dorian|south|panel|89|shipped
1514|harbor|south|cable|83|pending
1260|cobalt|north|gasket|78|shipped
1439|acme|north|panel|80|held
1290|gale|west|valve|47|pending
1669|gale|west|frame|73|pending
1282|gale|east|panel|30|held
1656|gale|north|pump|74|pending
1304|gale|east|valve|44|pending
1522|cobalt|east|frame|67|paid
1253|birch|east|rotor|43|shipped
1479|acme|south|frame|20|shipped
1380|fulton|west|frame|15|paid
1676|fulton|west|sensor|71|pending
1368|birch|north|sensor|39|pending
1667|dorian|west|gasket|66|paid
1426|ember|east|frame|14|held
1638|gale|north|gasket|11|held
1548|cobalt|south|panel|81|shipped
1351|fulton|south|pump|34|held
1346|fulton|south|rotor|58|held
1416|dorian|south|sensor|75|shipped
1301|acme|east|panel|72|paid
1583|dorian|east|gasket|99|pending
1335|birch|east|rotor|48|held
1185|ember|north|rotor|32|pending
1546|cobalt|east|valve|35|pending
1630|juno|south|frame|30|paid
1671|acme|west|frame|87|shipped
1665|fulton|south|panel|20|paid
1449|harbor|north|gasket|12|paid
1454|acme|east|cable|52|pending
1412|fulton|south|panel|95|held
1403|gale|north|frame|55|shipped
1201|ember|north|valve|95|held
1498|juno|north|gasket|53|paid
1300|gale|south|rotor|63|shipped
1440|gale|west|gasket|47|pending
1219|gale|north|sensor|10|pending
1604|ember|south|frame|94|shipped
1505|birch|south|cable|96|held
1297|gale|west|cable|54|shipped
1240|juno|west|frame|95|shipped
1575|gale|north|frame|53|pending
1425|ionic|east|rotor|45|paid
1313|gale|west|rotor|62|held
1246|ionic|south|valve|90|shipped
1608|cobalt|west|gasket|12|shipped
1434|juno|east|cable|78|held
1264|ember|west|panel|82|held
1226|gale|north|cable|82|paid
1578|cobalt|north|gasket|67|held
1668|fulton|west|gasket|66|pending
1587|fulton|east|panel|91|paid
1649|gale|south|frame|67|shipped
1529|acme|south|valve|84|paid
1469|acme|north|panel|41|pending
1212|ember|west|rotor|52|pending
1613|ember|west|panel|69|shipped
1309|fulton|west|sensor|13|paid
1406|birch|west|rotor|16|held
1569|birch|north|cable|64|held
1457|juno|north|cable|70|shipped
1293|ionic|west|frame|30|pending
1432|birch|west|cable|72|paid
1303|juno|west|rotor|62|pending
1643|cobalt|south|rotor|68|held
1435|dorian|north|panel|90|paid
1399|harbor|east|panel|55|held
1328|ember|east|sensor|86|shipped
1596|cobalt|north|valve|27|shipped
1581|gale|east|sensor|15|held
1601|acme|east|frame|29|shipped
1291|birch|south|cable|46|held
1652|ionic|east|frame|40|shipped
1386|harbor|north|valve|72|pending
1543|juno|west|rotor|37|shipped
1624|ember|south|frame|92|held
1554|dorian|north|frame|87|pending
1690|dorian|west|frame|51|pending
1492|cobalt|south|gasket|63|pending
1192|ember|north|rotor|43|pending
1594|dorian|south|cable|56|paid
1499|acme|east|gasket|31|paid
1292|birch|north|valve|44|shipped
1294|ionic|south|valve|45|pending
1242|birch|south|sensor|75|pending
1205|ember|north|valve|70|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, 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": 1185
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "valve",
      "qty": 95
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "valve",
      "qty": 70
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 349ms · $0.001 · 97 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

correctagentic.tools.triage-v1conf 100% · 309ms · $0.002 · 348 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 5)
2. "uploads failing intermittently" (category: infra, priority 8)
3. "locked out after 2FA change" (category: auth, priority 5)
4. "SSO loop on login" (category: auth, 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": "locked out after 2FA change",
      "priority": 5
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "uploads failing intermittently",
      "priority": 8
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-2",
      "agent": "rivera"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "locked out after 2FA change",
      "priority": 5
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-3",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "SSO loop on login",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-4"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-4",
      "agent": "tanaka"
    }
  }
]

correctagentic.tools.ledger-v1conf 100% · 343ms · $0.001 · 160 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $722
- tango: $602
- bravo: $259

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $253 from "lima" to "bravo"
2. pay $487 from "lima" to "bravo"
3. pay $160 from "bravo" to "lima"
4. pay $476 from "tango" 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": "lima", "to": "bravo", "amount": 253}},
  {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 18}},
  {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 487}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 160}},
  {"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 476}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.0s · $0.005 · 144 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 (278 records, format: id|customer|region|item|qty|status):
```
2230|cobalt|east|gasket|36|shipped
1962|fulton|east|cable|38|paid
1581|gale|west|gasket|85|held
1869|harbor|south|panel|85|shipped
2144|fulton|north|valve|94|held
1656|cobalt|south|cable|99|shipped
1392|acme|north|valve|20|shipped
1919|fulton|west|frame|66|held
1813|juno|north|sensor|20|shipped
2285|acme|north|cable|41|shipped
2305|dorian|north|panel|86|paid
1771|cobalt|south|panel|10|held
1564|acme|west|rotor|10|held
1848|cobalt|north|sensor|39|pending
1494|acme|south|pump|93|pending
1371|birch|south|valve|49|paid
2039|cobalt|west|valve|92|held
1780|juno|north|panel|82|held
1454|birch|south|panel|53|shipped
1334|ember|north|gasket|98|pending
2059|birch|north|panel|32|paid
1911|ember|south|gasket|87|paid
2360|cobalt|east|rotor|45|paid
1504|gale|north|sensor|55|shipped
2250|fulton|south|sensor|41|pending
1884|gale|east|gasket|27|held
1798|acme|east|rotor|46|shipped
1421|dorian|north|frame|20|held
2135|ionic|south|cable|16|shipped
2364|birch|east|frame|38|pending
1557|dorian|north|sensor|15|shipped
1453|cobalt|east|panel|59|shipped
1455|gale|west|pump|32|shipped
2162|ionic|east|valve|52|pending
1608|dorian|east|panel|67|shipped
1713|ionic|north|frame|55|pending
2205|juno|south|valve|79|pending
2054|fulton|south|frame|54|held
2344|acme|north|panel|50|shipped
1438|juno|north|frame|73|paid
1931|juno|west|gasket|69|held
1403|ember|south|gasket|27|pending
1712|acme|south|pump|57|shipped
2005|ionic|south|rotor|33|paid
1588|ionic|north|valve|41|shipped
1515|harbor|north|valve|72|paid
1356|ember|north|frame|48|paid
1362|ember|north|cable|40|pending
2025|acme|south|pump|28|held
2258|gale|north|sensor|79|held
1465|juno|west|frame|60|paid
1572|cobalt|south|frame|97|held
1599|harbor|south|gasket|72|pending
1991|juno|east|pump|63|pending
1567|juno|east|pump|69|shipped
2018|fulton|east|panel|22|paid
2001|fulton|south|pump|72|shipped
1727|cobalt|west|pump|31|held
1415|fulton|east|panel|92|held
1854|birch|south|sensor|87|paid
1679|gale|south|sensor|86|paid
1791|birch|east|pump|53|pending
1738|fulton|west|panel|74|pending
1406|cobalt|south|gasket|44|paid
2388|acme|west|rotor|21|paid
1687|dorian|north|pump|45|shipped
2256|dorian|east|frame|82|paid
2243|birch|north|rotor|79|paid
1900|cobalt|west|panel|33|pending
2083|fulton|west|valve|87|paid
2139|gale|south|panel|74|held
2371|cobalt|south|pump|97|pending
1671|harbor|south|rotor|73|paid
2071|cobalt|east|cable|37|pending
1875|fulton|south|panel|29|held
1896|dorian|west|gasket|17|shipped
2067|ionic|south|valve|41|paid
1982|harbor|west|rotor|54|paid
1775|ionic|west|frame|91|pending
1955|ionic|north|cable|22|paid
2295|harbor|west|panel|22|paid
1686|harbor|south|rotor|71|shipped
1351|ember|east|panel|60|pending
1554|cobalt|west|frame|31|pending
1614|harbor|west|gasket|11|paid
2132|acme|west|frame|74|pending
1619|cobalt|west|sensor|86|paid
2012|juno|south|panel|75|shipped
1370|ember|north|valve|11|shipped
2261|gale|east|gasket|23|paid
2241|dorian|west|cable|65|paid
2338|ionic|east|sensor|66|paid
2126|juno|east|valve|35|held
1762|harbor|west|frame|59|pending
1805|fulton|south|rotor|20|shipped
1654|acme|east|sensor|47|paid
1810|dorian|west|panel|85|held
1459|birch|north|cable|53|shipped
1440|ember|west|cable|62|shipped
1952|juno|north|valve|32|pending
2147|birch|south|panel|35|held
1621|acme|west|valve|65|pending
1893|gale|west|panel|31|pending
1948|cobalt|west|valve|24|shipped
1548|cobalt|east|rotor|35|shipped
1526|acme|north|sensor|74|shipped
1639|birch|south|cable|89|held
1732|acme|south|rotor|75|shipped
2044|ionic|east|gasket|18|shipped
2075|dorian|east|cable|32|pending
1569|juno|west|valve|94|pending
1841|birch|north|panel|51|held
1817|cobalt|east|cable|50|paid
2125|gale|west|cable|82|paid
1892|birch|south|cable|68|pending
1492|juno|south|rotor|64|pending
2270|gale|east|rotor|14|pending
2292|fulton|east|panel|81|pending
2142|juno|east|cable|87|paid
1887|fulton|west|pump|39|shipped
2042|cobalt|east|panel|57|pending
1903|gale|south|sensor|85|shipped
1809|cobalt|east|cable|98|paid
2286|harbor|north|panel|25|held
1666|gale|west|cable|63|paid
1691|birch|west|sensor|23|paid
2043|ionic|north|cable|13|pending
2355|dorian|north|panel|78|held
1796|ember|east|cable|51|paid
1452|harbor|north|valve|34|pending
1676|ember|east|pump|28|paid
1480|ionic|north|pump|60|shipped
1390|harbor|west|pump|11|paid
1672|harbor|east|rotor|84|pending
2348|dorian|south|frame|55|held
1989|fulton|east|pump|55|shipped
1772|gale|west|gasket|78|paid
2313|harbor|east|frame|77|shipped
2264|cobalt|north|valve|18|shipped
1662|juno|north|sensor|71|paid
1858|cobalt|west|frame|76|held
2224|birch|west|rotor|49|pending
1413|cobalt|north|panel|50|shipped
1787|birch|north|pump|97|shipped
2030|harbor|west|sensor|28|shipped
1519|cobalt|east|pump|65|paid
1907|juno|west|frame|60|held
1934|harbor|north|panel|21|shipped
2201|ionic|west|frame|29|shipped
1400|birch|south|frame|59|paid
1765|ember|west|sensor|65|shipped
2172|ionic|west|valve|25|paid
1769|gale|west|rotor|20|held
2211|cobalt|west|pump|68|paid
1336|ember|west|gasket|76|pending
1338|ember|north|pump|95|held
1468|acme|west|valve|22|pending
2048|cobalt|west|gasket|16|held
2326|birch|west|cable|14|held
1816|birch|south|frame|80|paid
1578|fulton|south|sensor|97|held
1968|harbor|west|sensor|73|paid
2152|harbor|east|valve|78|held
1832|fulton|north|pump|15|shipped
1475|birch|south|cable|68|held
1995|ember|south|panel|85|held
2034|acme|west|pump|57|paid
2219|gale|north|panel|88|pending
1456|acme|west|valve|10|shipped
2396|acme|west|pump|22|pending
2056|ember|east|gasket|15|paid
1344|ember|north|rotor|74|pending
2386|cobalt|north|pump|82|paid
2185|cobalt|east|panel|11|pending
1969|ionic|west|cable|37|shipped
1556|acme|north|panel|83|pending
2085|harbor|south|sensor|82|paid
1779|gale|east|gasket|25|paid
2237|ember|west|pump|45|held
1550|acme|south|sensor|68|paid
2080|dorian|north|valve|81|held
2310|birch|east|frame|79|held
2331|dorian|north|valve|51|pending
1745|birch|north|gasket|21|pending
2002|gale|east|sensor|20|shipped
2307|cobalt|east|sensor|72|paid
1523|acme|east|valve|51|held
2217|acme|south|panel|57|pending
1429|fulton|west|cable|53|pending
2179|juno|north|rotor|87|pending
2304|ember|east|frame|71|held
1445|acme|west|pump|24|held
1972|harbor|west|cable|48|pending
2192|dorian|east|valve|39|held
2103|ember|east|valve|95|shipped
1397|acme|west|gasket|60|pending
1464|birch|west|cable|14|pending
2376|juno|north|rotor|67|shipped
1730|birch|south|cable|82|held
2389|gale|north|panel|49|shipped
1600|fulton|south|panel|22|shipped
1482|birch|east|sensor|77|shipped
1721|acme|east|frame|97|shipped
2366|dorian|north|cable|90|held
2297|harbor|north|cable|26|held
2272|birch|north|frame|19|pending
1788|fulton|east|pump|43|held
2209|ionic|east|pump|71|pending
1835|gale|west|cable|83|shipped
2128|dorian|south|panel|61|pending
1827|fulton|east|cable|41|paid
2349|ember|west|valve|24|held
1861|ember|east|frame|76|held
2153|juno|south|panel|99|pending
1756|acme|north|rotor|71|paid
1628|fulton|east|cable|49|paid
1650|dorian|south|pump|91|pending
1510|harbor|north|rotor|77|paid
1752|ember|south|panel|57|held
1669|fulton|west|sensor|23|paid
2197|juno|north|pump|82|shipped
1598|cobalt|south|rotor|89|pending
2265|fulton|north|sensor|40|shipped
1384|dorian|east|valve|58|shipped
1880|gale|east|pump|66|pending
1391|acme|east|valve|38|shipped
1512|ember|north|valve|77|pending
1485|harbor|east|sensor|28|pending
2398|fulton|west|cable|45|held
1926|acme|south|cable|10|held
2092|acme|west|frame|64|shipped
2160|acme|east|gasket|87|pending
1604|acme|south|panel|65|pending
1633|ember|north|gasket|33|shipped
1573|fulton|west|rotor|47|pending
1532|dorian|south|gasket|23|held
2099|cobalt|north|cable|15|held
2174|fulton|north|valve|14|pending
2320|ember|east|sensor|79|paid
2119|juno|north|valve|90|shipped
1689|cobalt|north|frame|59|shipped
1500|harbor|south|panel|67|held
1365|ember|west|sensor|43|pending
2382|dorian|north|gasket|23|held
1945|dorian|west|panel|34|paid
1703|cobalt|south|frame|33|pending
1834|ionic|east|pump|21|pending
2168|ember|north|gasket|67|held
2108|cobalt|west|valve|35|shipped
2279|dorian|east|cable|23|held
1474|cobalt|east|valve|70|pending
1882|fulton|north|frame|43|held
2065|acme|south|panel|26|paid
1938|dorian|north|pump|23|pending
1541|dorian|south|frame|95|pending
1538|ionic|north|gasket|41|shipped
1822|harbor|south|cable|50|pending
1717|dorian|north|rotor|58|pending
2121|gale|west|gasket|70|held
1540|harbor|north|cable|16|pending
1376|acme|west|panel|54|held
1831|fulton|north|sensor|36|paid
1979|ember|east|cable|53|held
2115|ionic|east|frame|86|shipped
2040|ember|west|cable|73|shipped
1426|ember|south|panel|21|shipped
1591|gale|south|gasket|24|pending
1873|ionic|east|frame|50|pending
1718|harbor|north|cable|79|paid
1673|acme|west|rotor|25|pending
1866|acme|south|rotor|83|shipped
1916|juno|east|pump|42|pending
1431|dorian|east|panel|73|held
1646|cobalt|east|panel|38|held
1698|cobalt|east|pump|67|shipped
1383|harbor|east|frame|58|pending
1871|juno|south|frame|11|shipped
1707|ionic|east|valve|30|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 44, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1334
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "pump",
      "qty": 95
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "rotor",
      "qty": 74
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "valve",
      "qty": 77
    }
  }
]

correctagentic.tools.deploy-v1conf 100% · 344ms · $0.001 · 97 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: reports
- reports: (none)
- search: billing
- auth-svc: billing

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

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

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

model answer:

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

correctagentic.tools.triage-v1conf 100% · 275ms · $0.002 · 341 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 9)
3. "card declined at checkout" (category: payments, priority 2)
4. "records missing after import" (category: data, priority 2)

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

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

model answer:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "dashboard shows stale numbers",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-1"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "dubois"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "dashboard shows stale numbers",
      "priority": 9
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "card declined at checkout",
      "priority": 2
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "records missing after import",
      "priority": 2
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-4",
      "agent": "dubois"
    }
  }
]

wrongagentic.tools.ledger-v1conf 100% · 367ms · $0.001 · 153 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $160
- delta: $726
- echo: $805

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $475 from "echo" to "delta"
2. pay $309 from "delta" to "tango"
3. pay $589 from "delta" to "echo"
4. pay $361 from "tango" 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": "echo", "to": "delta", "amount": 475}},
  {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 309}},
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 158}},
  {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 589}},
  {"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 361}}
]

wrongagentic.tools.context-load-v1anchorconf 100% · 792ms · $0.004 · 177 tok

model answer:

[
  {
    "tool": "cancel_order",
    "args": {
      "order_id": 1368
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "gasket",
      "qty": 60
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "rotor",
      "qty": 75
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "frame",
      "qty": 58
    }
  },
  {
    "tool": "restock",
    "args": {
      "item": "rotor",
      "qty": 46
    }
  }
]

correctagentic.tools.triage-v1anchorconf 100% · 365ms · $0.002 · 339 tok

model answer:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "API latency spikes",
      "priority": 9
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-1"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "tanaka"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "records missing after import",
      "priority": 2
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-2",
      "agent": "novak"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "refund double-charged",
      "priority": 2
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "okafor"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "API latency spikes",
      "priority": 9
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-4",
      "resolution": "duplicate of TCK-1"
    }
  }
]

correctagentic.tools.deploy-v1anchorconf 100% · 353ms · $0.001 · 98 tok

model answer:

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

wrongagentic.tools.ledger-v1anchorconf 100% · 631ms · $0.001 · 185 tok

model answer:

[
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
  {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 223}},
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
  {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]

code 10/30 correct

correctcode.trace.js-v1conf 100% · 267ms · $0.001 · 225 tok

question

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

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

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

model answer: 272

wrongcode.trace.python-v1conf 100% · 268ms · $0.001 · 300 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 4
while total + v <= 64:
    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: 80

wrongcode.trace.nested-v1conf 100% · 470ms · $0.001 · 118 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 == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

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

model answer: 252

correctcode.trace.js-v1conf 100% · 287ms · $0.001 · 219 tok

question

What does this JavaScript program log?

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

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

model answer: 140

wrongcode.trace.python-v1conf 100% · 888ms · $0.001 · 305 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 15
while total + v <= 66:
    if v % 3 != 0:
        total += v
    v += 7
print(total)
```

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

model answer: 94

wrongcode.trace.nested-v1conf 100% · 268ms · $0.001 · 123 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 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: 135

correctcode.trace.js-v1conf 100% · 5.2s · $0.001 · 151 tok

question

What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 30

wrongcode.trace.js-v1conf 100% · 301ms · $0.001 · 198 tok

question

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

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

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

model answer: 610

wrongcode.trace.nested-v1conf 100% · 296ms · $0.000 · 13 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 80

wrongcode.trace.python-v1conf 100% · 276ms · $0.001 · 251 tok

question

What does this Python program print?

```python
total = 0
v = 13
while total + v <= 101:
    if v % 3 != 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: 825

correctcode.trace.python-v1conf 100% · 290ms · $0.001 · 275 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 13
while total + v <= 60:
    if v % 6 != 0:
        total += v
    v += 7
print(total)
```

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

model answer: 60

wrongcode.trace.nested-v1conf 100% · 273ms · $0.000 · 93 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 252

wrongcode.trace.js-v1conf 100% · 282ms · $0.001 · 179 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 * 5)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 690

wrongcode.trace.python-v1conf 100% · 306ms · $0.002 · 480 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 8
while total + v <= 90:
    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: 123

wrongcode.trace.nested-v1conf 100% · 312ms · $0.001 · 167 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 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: 169

wrongcode.trace.nested-v1conf 100% · 335ms · $0.001 · 321 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 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: 1074

correctcode.trace.js-v1conf 100% · 312ms · $0.001 · 210 tok

question

What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 450

correctcode.trace.js-v1conf 100% · 344ms · $0.001 · 182 tok

question

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

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12];
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: 135

wrongcode.trace.python-v1conf 100% · 321ms · $0.000 · 13 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 13
while total + v <= 58:
    if v % 7 != 0:
        total += v
    v += 4
print(total)
```

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

model answer: 54

wrongcode.trace.nested-v1conf 100% · 297ms · $0.001 · 417 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 == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

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

model answer: 225

wrongcode.trace.nested-v1conf 100% · 265ms · $0.001 · 124 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 125

wrongcode.trace.python-v1conf 100% · 261ms · $0.000 · 13 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 9
while total + v <= 44:
    if v % 7 != 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: 33

correctcode.trace.js-v1conf 100% · 301ms · $0.001 · 155 tok

question

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

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 312

wrongcode.trace.python-v1conf 100% · 390ms · $0.001 · 247 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 11
while total + v <= 45:
    if v % 3 != 0:
        total += v
    v += 4
print(total)
```

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

model answer: 53

correctcode.trace.python-v1anchorconf 100% · 259ms · $0.002 · 549 tok

model answer: 0

correctcode.trace.js-v1conf 100% · 265ms · $0.001 · 141 tok

question

What does this JavaScript program log?

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

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

model answer: 60

wrongcode.trace.nested-v1conf 100% · 1.5s · $0.000 · 102 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + j
print(total)
```

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

model answer: 210

wrongcode.trace.python-v1anchorconf 100% · 956ms · $0.001 · 278 tok

model answer: 66

correctcode.trace.js-v1anchorconf 100% · 298ms · $0.001 · 185 tok

model answer: 63

wrongcode.trace.nested-v1anchorconf 100% · 563ms · $0.001 · 123 tok

model answer: 315

instruction following 13/30 correct

wrongif.constraints.stack-v1conf 100% · 308ms · $0.000 · 40 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "delta" and the last word must be "ember".
3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: delta frosty orbit mornings orbit gently orbit through silent landscapes, leaving ember.

wrongif.format.acronym-v1conf 100% · 270ms · $0.000 · 15 tok

question

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

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

model answer: LARZM

correctif.format.repeat-v1conf 100% · 306ms · $0.000 · 42 tok

question

Write the word "quartz" in capitalized 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-QUARTZ

wrongif.constraints.stack-v1conf — · 300ms · $0.000 · 45 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "quartz" and the last word must be "prism".
3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: quartz lights orbit streets, cars orbit lanes, stars orbit skies, city becomes prism.

wrongif.format.acronym-v1conf 100% · 310ms · $0.000 · 15 tok

question

Take the third letter of each of these words, in order: quartz, prism, tundra, zephyr, 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: RZMHR

correctif.format.repeat-v1conf 100% · 292ms · $0.000 · 37 tok

question

Write the word "drift" in uppercase 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/DRIFT

wrongif.constraints.stack-v1conf 100% · 277ms · $0.000 · 62 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "tundra" and the last word must be "drift".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: tundra flint flint flint frosty breaths crystallize, whispering secrets to snowflakes' silent drift.

wrongif.format.acronym-v1conf 100% · 860ms · $0.000 · 13 tok

question

Take the second letter of each of these words, in order: echo, cedar, delta, 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: CHDN

wrongif.constraints.stack-v1conf 100% · 361ms · $0.000 · 60 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "nova" and the last word must be "cedar".
3. Use the word "zephyr" 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 zephyr zephyr zephyr machine hums softly, ancient gears turning, whispering secrets of cedar.

correctif.format.repeat-v1conf 100% · 914ms · $0.000 · 18 tok

question

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

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

model answer: prism_prism_prism_prism

correctif.format.acronym-v1conf 100% · 357ms · $0.000 · 15 tok

question

Take the first letter of each of these words, in order: drift, tundra, falcon, prism, zephyr, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

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

model answer: DTFPZD

correctif.format.repeat-v1conf 100% · 282ms · $0.000 · 37 tok

question

Write the word "basalt" 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: basalt-basalt-basalt-basalt-basalt-basalt-basalt-basalt-basalt

wrongif.constraints.stack-v1conf 100% · 308ms · $0.000 · 46 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "tundra" and the last word must be "echo".
3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: tundra falcon falcon falcon sea waves crash against cliffs, creating an echo.

wrongif.constraints.stack-v1conf 100% · 505ms · $0.000 · 70 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "lumen" and the last word must be "echo".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer:

lumen refracts through prism, casting spectral hues. frosty air shimmers, each breath a prism. silence holds, then a distant echo.

wrongif.format.acronym-v1conf 100% · 261ms · $0.000 · 14 tok

question

Take the second letter of each of these words, in order: nova, drift, falcon, tundra, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

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

model answer: ODRQU

correctif.format.repeat-v1conf 100% · 289ms · $0.000 · 23 tok

question

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

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

model answer: FALCON_FALCON_FALCON_FALCON

correctif.format.acronym-v1conf 100% · 267ms · $0.000 · 14 tok

question

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

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

model answer: ZFECP

wrongif.constraints.stack-v1conf 100% · 265ms · $0.000 · 64 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 "echo" and the last word must be "ember".
3. Use the word "flint" 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:

echo flint sparks ignite flint cityscape shadows dance beneath pale moonlight fleeting whispers fade into cool night air leaving one last ember

correctif.format.repeat-v1conf 100% · 282ms · $0.000 · 27 tok

question

Write the word "flint" 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: flint_flint_flint_flint_flint_flint_flint_flint

wrongif.format.acronym-v1conf 100% · 260ms · $0.000 · 14 tok

question

Take the first letter of each of these words, in order: basalt, comet, echo, orbit, cedar, 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: BCECOF

wrongif.constraints.stack-v1conf 100% · 280ms · $0.000 · 45 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "comet" and the last word must be "quartz".
3. Use the word "flint" 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: comet dust settled on flint gears, grinding flint into sand, revealing quartz.

correctif.format.repeat-v1conf 100% · 268ms · $0.000 · 23 tok

question

Write the word "falcon" in lowercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

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

model answer: falcon_falcon_falcon_falcon_falcon_falcon

wrongif.constraints.stack-v1conf 100% · 516ms · $0.000 · 48 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "echo" and the last word must be "cedar".
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: echo waves orbit the shore, orbiting endlessly. tides whisper secrets to the ancient cedar.

wrongif.format.acronym-v1conf 100% · 359ms · $0.000 · 14 tok

question

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

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

model answer: BIRAE

correctif.format.repeat-v1conf 100% · 277ms · $0.000 · 18 tok

question

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

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

model answer: cedar-cedar-cedar-cedar

correctif.format.repeat-v1anchorconf 100% · 1.2s · $0.000 · 27 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

wrongif.format.acronym-v1conf 100% · 278ms · $0.000 · 13 tok

question

Take the second letter of each of these words, in order: basalt, lumen, delta, 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: AAME

wrongif.constraints.stack-v1anchorconf 100% · 359ms · $0.000 · 63 tok

model answer: drift through lumen-lit streets, where lumen shadows dance and lumen whispers guide, beneath the city's gentle orbit.

correctif.format.repeat-v1anchorconf 100% · 598ms · $0.000 · 35 tok

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

correctif.format.acronym-v1anchorconf 100% · 288ms · $0.000 · 14 tok

model answer: ZDFQ

knowledge 30/30 correct

correctknowledge.fr.factbank-v2conf 100% · 282ms · $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: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 256ms · $0.000 · 15 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: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 275ms · $0.000 · 12 tok

question

Name the element whose symbol is Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 262ms · $0.000 · 16 tok

question

Identify the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

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

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 308ms · $0.000 · 16 tok

question

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

Answer with the name only — no explanation.

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

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 268ms · $0.000 · 12 tok

question

What is the capital of Australia?

Answer with the name only — no explanation.

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

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 320ms · $0.000 · 12 tok

question

Identify the capital of Switzerland.

Answer with the name only — no explanation.

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

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 267ms · $0.000 · 13 tok

question

What is the Nigerian capital city?

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 331ms · $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 Márquez

correctknowledge.fr.factbank-v2conf 100% · 307ms · $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: Ankara

correctknowledge.fr.factbank-v2conf 100% · 262ms · $0.000 · 12 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: Ankara

correctknowledge.fr.factbank-v2conf 100% · 294ms · $0.000 · 14 tok

question

Name the author of "The Master and Margarita".

Answer with the name only — no explanation.

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

model answer: Mikhail Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 325ms · $0.000 · 12 tok

question

Name the capital of Switzerland.

Answer with the name only — no explanation.

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

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 290ms · $0.000 · 12 tok

question

Name the Canadian capital city.

Answer with the name only — no explanation.

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

model answer: Ottawa

correctknowledge.fr.factbank-v2conf 100% · 275ms · $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 Márquez

correctknowledge.fr.factbank-v2conf 100% · 369ms · $0.000 · 12 tok

question

What is the element whose symbol is Pb?

Answer with the name only — no explanation.

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

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 323ms · $0.000 · 12 tok

question

Name the Swiss capital (de facto).

Answer with the name only — no explanation.

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

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 263ms · $0.000 · 14 tok

question

Identify the element whose symbol is W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 283ms · $0.000 · 12 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: Lead

correctknowledge.fr.factbank-v2conf 100% · 266ms · $0.000 · 15 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: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 263ms · $0.000 · 12 tok

question

Name the element whose symbol is Hg.

Answer with the name only — no explanation.

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

model answer: Mercury

correctknowledge.fr.factbank-v2conf 100% · 272ms · $0.000 · 13 tok

question

Identify the element whose symbol is Sb.

Answer with the name only — no explanation.

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

model answer: Antimony

correctknowledge.fr.factbank-v2conf 100% · 523ms · $0.000 · 14 tok

question

Name the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

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

model answer: Mikhail Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 409ms · $0.000 · 15 tok

question

Name the Burmese capital city.

Answer with the name only — no explanation.

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

model answer: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 284ms · $0.000 · 12 tok

question

What is the Canadian capital city?

Answer with the name only — no explanation.

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

model answer: Ottawa

correctknowledge.fr.factbank-v2conf 100% · 254ms · $0.000 · 13 tok

question

Name the Brazilian capital city.

Answer with the name only — no explanation.

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

model answer: Brasília

correctknowledge.fr.factbank-v2anchorconf 100% · 346ms · $0.000 · 12 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 275ms · $0.000 · 14 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 630ms · $0.000 · 12 tok

model answer: Lead

correctknowledge.fr.factbank-v2anchorconf 100% · 557ms · $0.000 · 13 tok

model answer: Antimony

math 21/30 correct

wrongmath.counterfactual.base-v1conf 100% · 288ms · $0.001 · 236 tok

question

Work strictly in base 7. Add the base-7 numbers 3351 and 5054. Give the result IN BASE 7.

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

model answer: 14465

correctmath.chained.pipeline-v1conf 100% · 252ms · $0.001 · 128 tok

question

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

Step 1: P = 87 × 43.
Step 2: Q = P × 8 − 233.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 3718

correctmath.algebra.system-v2conf 100% · 273ms · $0.001 · 191 tok

question

Solve the system, then answer the derived question.

8x + 2y = 234
4x − 3y = 177

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: 141

wrongmath.percent.chain-v2conf 100% · 5.2s · $0.001 · 151 tok

question

An inventory starts at 65000 units. The warehouse was painted 42 years ago. In the first month the inventory grows by 28%. The warehouse was painted 167 years ago. The next month it shrinks by 28%, 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: 68886.60

wrongmath.arith.chain-v2conf 100% · 276ms · $0.000 · 14 tok

question

Evaluate the expression below and give the result.

(((30 × 26 − 776) × 4 + 6822) − 76 × 79) × 7

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

model answer: 1680

wrongmath.chained.pipeline-v1conf 100% · 273ms · $0.001 · 128 tok

question

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

Step 1: P = 86 × 37.
Step 2: Q = P × 5 − 549.
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: 3842

correctmath.counterfactual.base-v1conf 100% · 281ms · $0.001 · 212 tok

question

Work strictly in base 9. Add the base-9 numbers 1285 and 3547. 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: 4843

correctmath.algebra.system-v2conf 100% · 250ms · $0.001 · 262 tok

question

Solve the system, then answer the derived question.

5x + 6y = -95
9x − 9y = -369

What is the value of 2x − 6y?

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

model answer: -122

correctmath.percent.chain-v2conf 100% · 309ms · $0.001 · 132 tok

question

An inventory starts at 97000 units. The delivery van has a 90-liter fuel tank. In the first month the inventory grows by 31%. The warehouse was painted 174 years ago. The next month it shrinks by 33%, 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: 114083.45

correctmath.counterfactual.base-v1conf 100% · 451ms · $0.001 · 312 tok

question

Work strictly in base 7. Multiply the base-7 numbers 50 and 44. Give the result IN BASE 7.

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

model answer: 3160

wrongmath.arith.chain-v2conf 100% · 270ms · $0.000 · 14 tok

question

Compute the value of the following expression.

(((96 × 79 − 737) × 9 + 8041) − 32 × 46) × 7

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

model answer: 301329

correctmath.chained.pipeline-v1conf 100% · 303ms · $0.000 · 111 tok

question

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

Step 1: P = 59 × 57.
Step 2: Q = P × 5 − 824.
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: 2287

correctmath.percent.chain-v2conf 100% · 306ms · $0.001 · 149 tok

question

An inventory starts at 98000 units. A rival firm shipped 156 unrelated parcels the same week. In the first month the inventory grows by 17%. The company was founded 150 kilometers from the port. The next month it shrinks by 41%, and the month after it grows by 20%. 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: 81179.28

correctmath.algebra.system-v2conf 100% · 291ms · $0.001 · 191 tok

question

Solve the system, then answer the derived question.

4x + 4y = 96
3x − 9y = -252

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: -141

correctmath.arith.chain-v2conf 100% · 267ms · $0.001 · 227 tok

question

Calculate the following. Show your reasoning, then answer.

(((54 × 30 − 807) × 5 + 9061) − 78 × 91) × 5

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

model answer: 30140

correctmath.counterfactual.base-v1conf 100% · 339ms · $0.001 · 423 tok

question

Work strictly in base 11. Add the base-11 numbers 1413 and 1A59. 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: 3371

correctmath.chained.pipeline-v1conf 100% · 282ms · $0.000 · 107 tok

question

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

Step 1: P = 26 × 62.
Step 2: Q = P × 3 − 733.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 688

correctmath.percent.chain-v2conf 100% · 286ms · $0.001 · 124 tok

question

An inventory starts at 25000 units. The warehouse was painted 101 years ago. In the first month the inventory grows by 12%. The delivery van has a 42-liter fuel tank. The next month it shrinks by 12%, and the month after it grows by 12%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 27596.80

correctmath.algebra.system-v2conf 100% · 260ms · $0.001 · 186 tok

question

Solve the system, then answer the derived question.

6x + 5y = 62
6x − 2y = -176

What is the value of 4x − 5y?

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

model answer: -242

wrongmath.arith.chain-v2conf 100% · 488ms · $0.000 · 14 tok

question

Compute the value of the following expression.

(((69 × 93 − 519) × 3 + 6804) − 67 × 56) × 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: 10080

correctmath.chained.pipeline-v1conf 100% · 3.8s · $0.000 · 119 tok

question

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

Step 1: P = 45 × 28.
Step 2: Q = P × 5 − 527.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 1157

correctmath.counterfactual.base-v1conf 100% · 686ms · $0.001 · 222 tok

question

Work strictly in base 9. Multiply the base-9 numbers 104 and 14. 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: 1457

correctmath.percent.chain-v2conf 100% · 583ms · $0.001 · 142 tok

question

An inventory starts at 66000 units. A rival firm shipped 91 unrelated parcels the same week. In the first month the inventory grows by 23%. The company was founded 151 kilometers from the port. The next month it shrinks by 9%, and the month after it grows by 30%. 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: 96035.94

wrongmath.counterfactual.base-v1anchorconf 100% · 4.7s · $0.001 · 403 tok

model answer: 10236

correctmath.algebra.system-v2conf 100% · 380ms · $0.001 · 158 tok

question

Solve the system, then answer the derived question.

5x + 2y = 92
8x − 2y = 220

What is the value of 2x − 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: 90

correctmath.arith.chain-v2conf 100% · 348ms · $0.001 · 165 tok

question

Evaluate the expression below and give the result.

(((53 × 48 − 278) × 7 + 9945) − 18 × 17) × 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: 102004

correctmath.chained.pipeline-v1conf 100% · 361ms · $0.001 · 128 tok

question

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

Step 1: P = 77 × 86.
Step 2: Q = P × 7 − 419.
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: 11486

correctmath.algebra.system-v2anchorconf 100% · 755ms · $0.001 · 160 tok

model answer: 87

wrongmath.percent.chain-v2anchorconf 100% · 337ms · $0.001 · 131 tok

model answer: 61896.92

wrongmath.arith.chain-v2anchorconf 100% · 559ms · $0.000 · 14 tok

model answer: 10200

multilingual 16/30 correct

wrongmultilingual.wordnum-v1conf 100% · 418ms · $0.000 · 14 tok

question

A number is written in French: « cinq cent trente-deux ». Another is written in Spanish: « quinientos setenta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1006

wrongmultilingual.numword-v2conf 100% · 267ms · $0.000 · 15 tok

question

Compute 303 + 102, 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 cinq

correctmultilingual.numword-v2conf 100% · 281ms · $0.000 · 27 tok

question

Compute 83 + 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: cuatrocientos setenta y cuatro

correctmultilingual.wordnum-v1conf 100% · 337ms · $0.000 · 13 tok

question

A number is written in French: « deux cent soixante ». Another is written in Spanish: « novecientos setenta y seis ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: -716

wrongmultilingual.wordnum-v1conf 100% · 281ms · $0.000 · 13 tok

question

A number is written in French: « cent soixante-quatorze ». Another is written in Spanish: « seiscientos cincuenta 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: 816

correctmultilingual.numword-v2conf 100% · 416ms · $0.000 · 20 tok

question

Compute 159 + 388, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: quinientos cuarenta y siete

correctmultilingual.numword-v2conf 100% · 265ms · $0.000 · 21 tok

question

Compute 457 + 212, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: seiscientos sesenta y nueve

correctmultilingual.wordnum-v1conf 100% · 264ms · $0.000 · 13 tok

question

A number is written in French: « quatre cent trente-six ». Another is written in Spanish: « ochocientos sesenta y cinco ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 429

correctmultilingual.wordnum-v1conf 100% · 286ms · $0.000 · 14 tok

question

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

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

model answer: 1613

correctmultilingual.numword-v2conf 100% · 284ms · $0.000 · 16 tok

question

Compute 370 + 376, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: sept cent quarante six

correctmultilingual.numword-v2conf 100% · 362ms · $0.000 · 24 tok

question

Compute 52 + 129, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: ciento ochenta y uno

wrongmultilingual.wordnum-v1conf 100% · 296ms · $0.000 · 13 tok

question

A number is written in French: « sept cent quatre ». Another is written in Spanish: « doscientos setenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 974

correctmultilingual.numword-v2conf 100% · 267ms · $0.000 · 27 tok

question

Compute 403 + 367, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: sept cent soixante-dix

wrongmultilingual.wordnum-v1conf 100% · 287ms · $0.000 · 13 tok

question

A number is written in French: « soixante-six ». Another is written in Spanish: « ochocientos cuarenta y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: -712

wrongmultilingual.numword-v2conf 100% · 297ms · $0.000 · 28 tok

question

Compute 375 + 77, 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 cincuenta y dos

correctmultilingual.wordnum-v1conf 100% · 258ms · $0.000 · 13 tok

question

A number is written in French: « cent dix ». Another is written in Spanish: « novecientos noventa y seis ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: -886

correctmultilingual.wordnum-v1conf 100% · 502ms · $0.000 · 13 tok

question

A number is written in French: « cent trente-cinq ». Another is written in Spanish: « ochocientos cincuenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 988

wrongmultilingual.numword-v2conf 100% · 300ms · $0.000 · 17 tok

question

Compute 185 + 169, 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 cinquante quatre

wrongmultilingual.wordnum-v1conf 100% · 288ms · $0.000 · 14 tok

question

A number is written in French: « trois cent soixante-douze ». Another is written in Spanish: « ochocientos treinta y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1117

correctmultilingual.numword-v2conf 100% · 272ms · $0.000 · 23 tok

question

Compute 243 + 172, 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 quinze

wrongmultilingual.wordnum-v1conf 100% · 283ms · $0.000 · 13 tok

question

A number is written in French: « sept cent trente-neuf ». Another is written in Spanish: « trescientos setenta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 65

correctmultilingual.numword-v2conf 100% · 286ms · $0.000 · 26 tok

question

Compute 477 + 305, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: setecientos ochenta y dos

correctmultilingual.wordnum-v1conf 100% · 282ms · $0.000 · 13 tok

question

A number is written in French: « six cent trente-neuf ». Another is written in Spanish: « trescientos treinta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 970

wrongmultilingual.numword-v2conf 100% · 274ms · $0.000 · 16 tok

question

Compute 98 + 234, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: deux cent trente deux

wrongmultilingual.numword-v2conf 100% · 255ms · $0.000 · 28 tok

question

Compute 383 + 214, 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 siete

wrongmultilingual.wordnum-v1conf 100% · 264ms · $0.000 · 14 tok

question

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

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

model answer: 1163

wrongmultilingual.wordnum-v1anchorconf 100% · 648ms · $0.000 · 13 tok

model answer: 145

correctmultilingual.numword-v2anchorconf 100% · 601ms · $0.000 · 21 tok

model answer: huit cent soixante dix neuf

correctmultilingual.numword-v2anchorconf 100% · 260ms · $0.000 · 22 tok

model answer: seiscientos ocho

wrongmultilingual.wordnum-v1anchorconf 100% · 300ms · $0.000 · 13 tok

model answer: 757

reasoning 14/30 correct

correctreasoning.deduction.position-v1conf 100% · 405ms · $0.000 · 13 tok

question

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

wrongreasoning.deduction.order-v2conf 100% · 280ms · $0.000 · 13 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Kira is faster than Tessa. Quinn is faster than Hana. Nadir is faster than Goran. Emil is older than everyone here, but Emil is not being ranked. Ines is faster than Quinn. Goran is faster than Kira. Goran is faster than Tessa. Goran is faster than Tessa. Hana is faster than Tessa. Hana is faster than Nadir. 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: Tessa

wrongreasoning.deduction.position-v1conf 100% · 319ms · $0.000 · 12 tok

question

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

Answer with the name only.

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

model answer: Jonas

wrongreasoning.deduction.order-v2conf 100% · 597ms · $0.000 · 14 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Farah. Kira is faster than Quinn. Jonas is faster than Mona. Nadir is taller than everyone here, but Nadir is not being ranked. Mona is faster than Ola. Farah is faster than Goran. Quinn is faster than Jonas. Mona is faster than Farah. Jonas is faster than Farah. Kira 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: Goran

correctreasoning.deduction.position-v1conf 100% · 368ms · $0.000 · 13 tok

question

Four people stand in a queue (number 1 is the front). Bruno is number 1 in the queue. Farah is directly ahead of Liam. Goran is directly ahead of Farah. Who is number 2?

Answer with the name only.

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

model answer: Goran

wrongreasoning.deduction.order-v2conf 100% · 460ms · $0.000 · 13 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Farah. Priya is heavier than Jonas. Jonas is heavier than Dara. Nadir is heavier than Farah. Quinn is taller than everyone here, but Quinn is not being ranked. Hana is heavier than Jonas. Hana is heavier than Liam. Dara is heavier than Nadir. Liam is heavier than Priya. Hana is heavier than Farah. 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: Hana

wrongreasoning.deduction.position-v1conf 100% · 265ms · $0.000 · 12 tok

question

Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Ola. Ola is number 2 in the queue. Dara is directly ahead of Liam. Who is number 3?

Answer with the name only.

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

model answer: Quinn

wrongreasoning.deduction.order-v2conf 100% · 968ms · $0.000 · 12 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Emil is taller than Liam. Ola is taller than Liam. Dara is taller than Farah. Bruno is taller than Ola. Liam is taller than Dara. Kira is taller than Emil. Ola is taller than Kira. Emil is taller than Farah. Bruno is taller than Kira. Mona is heavier than everyone here, but Mona is not being ranked. Who is third (rank 3)?

Answer with the name only.

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

model answer: Bruno

correctreasoning.deduction.position-v1conf 100% · 6.3s · $0.000 · 12 tok

question

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

Answer with the name only.

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

model answer: Emil

correctreasoning.deduction.position-v1conf 100% · 2.5s · $0.000 · 12 tok

question

Four people stand in a queue (number 1 is the front). Ines is number 1 in the queue. Emil is directly ahead of Quinn. Quinn is directly ahead of Liam. Who is number 3?

Answer with the name only.

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

model answer: Quinn

wrongreasoning.deduction.order-v2conf 100% · 448ms · $0.000 · 13 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Liam is older than Ines. Priya is older than Jonas. Kira is faster than everyone here, but Kira is not being ranked. Ola is older than Chen. Goran is older than Chen. Ines is older than Ola. Jonas is older than Goran. Ola is older than Priya. Jonas is older than Chen. Jonas is older than Chen. Who is third (rank 3)?

Answer with the name only.

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

model answer: Ines

wrongreasoning.deduction.order-v2conf 100% · 602ms · $0.000 · 12 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Emil. Dara is heavier than Ines. Mona is heavier than Bruno. Tessa is heavier than Bruno. Bruno is heavier than Liam. Liam is heavier than Emil. Alice is taller than everyone here, but Alice is not being ranked. Tessa is heavier than Emil. Ines is heavier than Mona. Mona is heavier than Tessa. Who is third (rank 3)?

Answer with the name only.

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

model answer: Bruno

correctreasoning.deduction.position-v1conf 100% · 286ms · $0.000 · 12 tok

question

Four people stand in a queue (number 1 is the front). Jonas is number 4 in the queue. Tessa is directly ahead of Jonas. Farah is directly ahead of Tessa. Goran 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: Jonas

wrongreasoning.deduction.order-v2conf 100% · 294ms · $0.000 · 13 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Rosa. Ines is faster than everyone here, but Ines is not being ranked. Quinn is heavier than Rosa. Farah is heavier than Bruno. Farah is heavier than Hana. Liam is heavier than Quinn. Bruno is heavier than Liam. Quinn is heavier than Ola. Hana is heavier than Bruno. Rosa is heavier than Ola. Who is third (rank 3)?

Answer with the name only.

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

model answer: Farah

correctreasoning.deduction.position-v1conf 100% · 301ms · $0.000 · 13 tok

question

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

Answer with the name only.

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

model answer: Ola

wrongreasoning.deduction.order-v2conf 100% · 414ms · $0.000 · 13 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Hana. Tessa is older than Chen. Mona is older than Ines. Mona is older than Hana. Ines is older than Hana. Tessa is older than Hana. Sami is older than Mona. Kira is taller than everyone here, but Kira is not being ranked. Alice is older than Sami. Chen is older than Alice. 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: Sami

correctreasoning.deduction.position-v1conf 100% · 331ms · $0.000 · 12 tok

question

Four people stand in a queue (number 1 is the front). Emil is number 3 in the queue. Priya is directly ahead of Quinn. Quinn is directly ahead of Emil. Who is number 3?

Answer with the name only.

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

model answer: Emil

correctreasoning.deduction.order-v2conf 100% · 295ms · $0.000 · 13 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Alice is faster than Hana. Hana is faster than Liam. Priya is faster than Hana. Alice is faster than Liam. Priya is faster than Liam. Priya is faster than Alice. Farah is faster than Rosa. Rosa is faster than Priya. Ola is taller than everyone here, but Ola is not being ranked. Goran is faster than Farah. Who is sixth (rank 6)?

Answer with the name only.

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

model answer: Hana

correctreasoning.deduction.position-v1conf 100% · 388ms · $0.000 · 12 tok

question

Four people stand in a queue (number 1 is the front). Alice is directly ahead of Quinn. Quinn is directly ahead of Emil. Priya 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: Alice

wrongreasoning.deduction.order-v2conf 100% · 302ms · $0.000 · 13 tok

question

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

correctreasoning.deduction.position-v1conf 100% · 413ms · $0.000 · 13 tok

question

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

wrongreasoning.deduction.order-v2conf 100% · 519ms · $0.000 · 12 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Hana is heavier than Jonas. Liam is heavier than Ola. Alice is heavier than Ola. Jonas is heavier than Farah. Farah is heavier than Ola. Farah is heavier than Kira. Alice is heavier than Hana. Kira is heavier than Ola. Kira is heavier than Liam. Dara is faster than everyone here, but Dara is not being ranked. Who is second (rank 2)?

Answer with the name only.

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

model answer: Alice

wrongreasoning.deduction.position-v1conf 100% · 380ms · $0.000 · 12 tok

question

Four people stand in a queue (number 1 is the front). Priya is directly ahead of Kira. Kira is number 4 in the queue. Liam is directly ahead of Chen. Chen is directly ahead of Priya. 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: Liam

wrongreasoning.deduction.order-v2conf 100% · 299ms · $0.000 · 13 tok

question

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

correctreasoning.deduction.position-v1conf 100% · 276ms · $0.000 · 13 tok

question

Four people stand in a queue (number 1 is the front). Tessa is number 1 in the queue. Goran is directly ahead of Priya. Priya 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: Goran

correctreasoning.deduction.order-v2conf 100% · 362ms · $0.000 · 13 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Ola. Tessa is older than Ola. Quinn is older than Tessa. Hana is older than Quinn. Dara is older than Ola. Hana is older than Farah. Tessa is older than Dara. Bruno is older than Hana. Rosa is taller than everyone here, but Rosa is not being ranked. Ola is older than Farah. 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: Dara

correctreasoning.deduction.position-v1anchorconf 100% · 246ms · $0.000 · 12 tok

model answer: Quinn

correctreasoning.deduction.position-v1anchorconf 100% · 721ms · $0.000 · 13 tok

model answer: Farah

wrongreasoning.deduction.order-v2anchorconf 100% · 286ms · $0.000 · 12 tok

model answer: Bruno

wrongreasoning.deduction.order-v2anchorconf 100% · 721ms · $0.000 · 12 tok

model answer: Alice

terminal 3/30 correct

wrongterminal.exit.chain-v1conf 100% · 286ms · $0.000 · 24 tok

question

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

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

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

These statements run in order:

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

C
F
H
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 351ms · $0.000 · 52 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/src`, `/proj/logs`):

```
/proj/conf/main.txt
/proj/conf/todo.txt
/proj/draft.log
/proj/notes.md
/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
touch conf/todo-8.log
cd src
cd ../../proj/logs
mv ../../proj/conf/todo.txt ./
cd ../../proj/src
rm ../../proj/logs/todo.txt
rm ../../proj/notes.md
touch util-8.log
cd ../../proj
touch logs/todo-2.txt
```

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

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

model answer: (none extracted)

wrongterminal.pipeline.predict-v1conf 100% · 298ms · $0.000 · 22 tok

question

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

```
cy,ops,114,64
pam,eng,70,53
hal,legal,89,66
ivy,legal,17,96
ana,sales,80,69
fay,eng,66,84
lou,eng,120,24
max,legal,87,71
oli,legal,111,85
```

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: (none extracted)

wrongterminal.exit.chain-v1conf 100% · 343ms · $0.000 · 23 tok

question

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

```
notes.txt
```

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

These statements run in order:

```sh
true && echo A || echo B
test -f ghost.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: (none extracted)

wrongterminal.fs.tree-v1conf 100% · 339ms · $0.000 · 52 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/assets`, `/proj/conf`):

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

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

```sh
mv build/draft.log build/setup-8.txt
touch conf/index-9.md
cd assets
mkdir -p ../../proj/conf/docs-6
rm ../../proj/report.md
touch util-6.md
mv ../../proj/build/setup-8.txt ../../proj/build/todo-1.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: (none extracted)

wrongterminal.pipeline.predict-v1conf 100% · 316ms · $0.000 · 22 tok

question

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

```
oli,ops,39,46
ana,sales,73,78
ned,sales,99,30
cy,eng,118,72
bo,sales,6,72
eli,eng,14,31
ivy,hr,65,99
pam,legal,4,29
jon,hr,26,28
kim,sales,106,87
hal,legal,74,12
gus,ops,97,27
fay,legal,45,57
lou,eng,76,13
```

What is the EXACT stdout of this command?

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

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

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

model answer: (none extracted)

wrongterminal.exit.chain-v1conf 100% · 297ms · $0.000 · 21 tok

question

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

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

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

These statements run in order:

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

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

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

model answer: (none extracted)

wrongterminal.fs.tree-v1conf 100% · 302ms · $0.001 · 82 tok

question

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

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

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

```sh
mkdir -p conf/logs-7
cp draft.cfg conf/
mv conf/draft.cfg conf/main-1.md
cd conf
mv ../../proj/draft.cfg ../../proj/index-3.md
mv ../../proj/build/todo.log ./
cd .
mkdir -p ../../proj/build/src-9
```

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

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

model answer: (none extracted)

correctterminal.pipeline.predict-v1conf 100% · 363ms · $0.000 · 52 tok

question

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

```
jon,hr,25,35
max,eng,82,60
bo,eng,116,65
fay,ops,99,34
lou,hr,51,10
gus,hr,110,51
ivy,legal,20,81
kim,sales,14,89
cy,eng,59,45
ana,hr,83,13
hal,sales,68,67
eli,legal,72,27
dev,hr,56,43
oli,legal,103,94
```

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: 99

wrongterminal.fs.tree-v1conf 100% · 355ms · $0.000 · 42 tok

question

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

```
/proj/assets/draft.log
/proj/build/index.txt
/proj/logs/util.cfg
/proj/main.md
/proj/report.cfg
```

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

```sh
mkdir -p build/assets-1
mkdir -p src-2
mkdir -p build/logs-4
cd logs
rm ../../proj/build/index.txt
cp ../../proj/assets/draft.log ../../proj/src-2/
rm ../../proj/src-2/draft.log
cp ../../proj/main.md ../../proj/build/logs-4/
```

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

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

model answer: (none extracted)

wrongterminal.exit.chain-v1conf 100% · 522ms · $0.000 · 26 tok

question

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

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

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

These statements run in order:

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

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

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

model answer: (none extracted)

wrongterminal.pipeline.predict-v1conf 100% · 277ms · $0.000 · 18 tok

question

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

```
kim,sales,31,50
pam,hr,45,43
dev,sales,43,79
bo,ops,11,90
ivy,ops,112,88
ana,eng,3,20
hal,ops,66,45
eli,hr,59,57
lou,eng,97,54
jon,sales,51,42
ned,sales,18,88
oli,sales,79,17
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 2
```

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

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

model answer: (none extracted)

wrongterminal.fs.tree-v1conf 100% · 306ms · $0.000 · 53 tok

question

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

```
/proj/conf/report.cfg
/proj/docs/draft.md
/proj/docs/setup.md
/proj/todo.log
/proj/util.cfg
```

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

```sh
mkdir -p build/assets-4
touch build/setup-8.log
cd docs
rm setup.md
mkdir -p ../../proj/build/assets-4/src-8
touch ../../proj/build/notes-7.log
cd ../../proj/build
rm ../../proj/docs/draft.md
cd assets-4/src-8
```

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

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

model answer: (none extracted)

wrongterminal.exit.chain-v1conf 100% · 464ms · $0.000 · 24 tok

question

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

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

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

These statements run in order:

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

C
F
G
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 371ms · $0.000 · 13 tok

question

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

```
bo,hr,105,30
pam,ops,83,23
cy,eng,119,23
eli,sales,47,86
hal,hr,65,43
ivy,legal,29,39
fay,hr,8,21
lou,legal,98,80
kim,legal,59,99
jon,hr,107,16
oli,hr,94,52
ana,legal,43,28
max,ops,38,19
ned,hr,96,15
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```

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

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

model answer: (none extracted)

correctterminal.exit.chain-v1conf 100% · 316ms · $0.000 · 22 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
D
E
exit:1

wrongterminal.fs.tree-v1conf 100% · 360ms · $0.000 · 34 tok

question

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

```
/proj/build/index.log
/proj/conf/todo.md
/proj/docs/report.cfg
/proj/notes.md
/proj/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
rm setup.cfg
cp docs/report.cfg conf/
rm notes.md
cd conf
touch ../../proj/main-7.md
mv todo.md ./
cp todo.md ../../proj/build/
cd .
mv ../../proj/main-7.md ../../proj/notes-9.cfg
rm ../../proj/notes-9.cfg
```

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

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

model answer: (none extracted)

wrongterminal.pipeline.predict-v1conf 100% · 335ms · $0.000 · 16 tok

question

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

```
oli,ops,58,24
jon,eng,92,18
bo,legal,56,94
pam,eng,13,76
max,ops,21,39
cy,ops,17,90
dev,eng,72,90
ned,ops,118,15
kim,ops,5,90
gus,sales,77,76
ana,sales,72,88
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 70 { n += 1 } END { print n }'
```

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

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

model answer: (none extracted)

wrongterminal.fs.tree-v1conf 100% · 494ms · $0.000 · 55 tok

question

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

```
/proj/conf/report.log
/proj/conf/todo.txt
/proj/docs/notes.log
/proj/draft.cfg
/proj/main.log
```

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

```sh
rm docs/notes.log
mkdir -p src/docs-5
cd src
mv ../../proj/conf/report.log ../../proj/conf/draft-2.log
cd ../../proj
mv conf/todo.txt conf/
mv draft.cfg src/
cp conf/todo.txt src/docs-5/
cd src/docs-5
mv ../../../proj/conf/draft-2.log ../../../proj/conf/notes-5.txt
cd ../../../proj/src
```

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

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

model answer: (none extracted)

wrongterminal.exit.chain-v1conf 100% · 293ms · $0.000 · 22 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

D
E
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 368ms · $0.000 · 35 tok

question

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

```
hal,sales,6,52
ned,sales,30,67
ivy,ops,118,44
kim,sales,74,22
eli,sales,25,25
dev,eng,91,64
fay,eng,30,79
oli,eng,86,49
max,legal,116,39
pam,sales,22,96
lou,ops,53,50
jon,hr,11,70
bo,eng,58,20
```

What is the EXACT stdout of this command?

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

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

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

model answer: (none extracted)

wrongterminal.fs.tree-v1conf 100% · 284ms · $0.000 · 59 tok

question

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

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

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

```sh
touch conf/setup-9.cfg
mv conf/report.md conf/notes-6.md
cd conf
mv ../../proj/notes.log ../../proj/build/
cd .
mv setup-9.cfg ../../proj/docs/
mkdir -p ../../proj/build/logs-4
mkdir -p ../../proj/src-8
```

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

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

model answer: (none extracted)

wrongterminal.exit.chain-v1conf 100% · 293ms · $0.000 · 25 tok

question

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

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

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

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

model answer: (none extracted)

wrongterminal.fs.tree-v1conf 100% · 374ms · $0.000 · 72 tok

question

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

```
/proj/build/index.cfg
/proj/logs/notes.md
/proj/logs/todo.md
/proj/main.log
/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
cp build/index.cfg logs/
cd src
touch todo-3.log
touch ../../proj/util-5.log
cd .
cp ../../proj/report.md ../../proj/build/
cd ../../proj/build
cp ../../proj/report.md ../../proj/logs/
```

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

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

model answer: (none extracted)

correctterminal.pipeline.predict-v1conf 100% · 273ms · $0.000 · 19 tok

question

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

```
pam,hr,49,69
ned,hr,57,36
dev,legal,110,43
ivy,hr,50,66
lou,legal,40,35
fay,sales,86,55
bo,ops,103,26
hal,hr,41,12
ana,sales,22,37
gus,legal,107,38
oli,hr,86,49
cy,ops,68,17
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | cut -d, -f1,3 | sort | head -n 2
```

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

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

model answer:

bo,103
cy,68

wrongterminal.exit.chain-v1conf 100% · 267ms · $0.000 · 23 tok

question

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

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

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

These statements run in order:

```sh
test -f data.txt && echo A || echo B
true && echo C || echo D
test -f data.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: (none extracted)

wrongterminal.pipeline.predict-v1anchorconf 100% · 631ms · $0.000 · 34 tok

model answer: (none extracted)

wrongterminal.fs.tree-v1anchorconf 100% · 378ms · $0.000 · 64 tok

model answer: (none extracted)

wrongterminal.exit.chain-v1anchorconf 100% · 793ms · $0.000 · 23 tok

model answer: (none extracted)

wrongterminal.pipeline.predict-v1anchorconf 100% · 378ms · $0.000 · 13 tok

model answer: 2

Run history

2026-08-05v0.2.0index_fit438
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2026-08-05v0.2.0index_fit437
2026-08-05v0.2.0index_fit439
2026-08-05v0.2.0index_fit439
2026-08-05v0.2.0index_fit442
2026-08-05v0.2.0index_fit443
2026-08-05v0.2.0index_fit445
2026-08-05v0.2.0index_fit447
2026-08-05v0.2.0index_fit448
2026-08-05v0.2.0index_fit449
2026-08-05v0.2.0index_fit447
2026-08-05v0.2.0index_fit446
2026-08-05v0.2.0index_fit446
2026-08-05v0.2.0index_fit447
2026-08-05v0.2.0index_fit448
2026-08-05v0.2.0index_fit449
2026-08-05v0.2.0index_fit448
2026-08-05v0.2.0index_fit414

NNous: Hermes 4 405B

Global Index

Per-domain scores

Every answer, every test

Run history

Nous: Hermes 4 405B