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NVIDIA: Nemotron 3 Ultra
nvidia/nemotron-3-ultra-550b-a55b · nvidia · context 512 288 · in $0.600/1M · out $3.60/1M
Global Index
764
95% CI [715–813] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 578 [482–674] | 0.377 | 1.00 | 0.52 | 0.000 | 486ms | $9.38 | |
| code | 875 [754–996] | 0.792 | 1.00 | 1.00 | 0.000 | 384ms | $5.13 | |
| instruction following | 842 [710–974] | 0.775 | 0.84 | 1.00 | 0.000 | 386ms | $4.78 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 345ms | $1.31 | |
| math | 833 [676–991] | 0.723 | 1.00 | 1.00 | 0.000 | 233ms | $2.94 | |
| multilingual | 819 [654–983] | 0.698 | 1.00 | 1.00 | 0.000 | 345ms | $2.47 | |
| reasoning | 796 [650–942] | 0.712 | 1.00 | 0.97 | 0.038 | 340ms | $4.86 | |
| terminal | 645 [536–753] | 0.681 | 0.98 | 0.83 | 0.192 | 507ms | $5.52 |
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 15/30 correct
correctagentic.tools.context-load-v1conf 100% · 505ms · $0.032 · 8081 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):
```
1511|juno|east|valve|76|paid
1971|ionic|north|valve|50|held
1564|ionic|south|pump|55|held
1328|fulton|south|pump|36|pending
1968|ember|south|panel|52|shipped
1778|ionic|north|gasket|32|paid
2037|harbor|west|valve|48|held
1029|gale|west|valve|54|pending
1610|birch|east|pump|63|paid
1937|acme|west|pump|20|pending
1948|acme|east|gasket|53|held
1734|juno|west|sensor|87|paid
1553|ember|west|valve|44|held
1404|ionic|north|pump|75|shipped
1294|fulton|west|sensor|96|paid
1634|ionic|east|gasket|61|paid
1225|ember|north|gasket|94|held
1884|birch|south|valve|73|pending
1584|gale|south|panel|76|pending
1249|gale|west|valve|31|shipped
1601|harbor|east|rotor|35|shipped
1762|juno|east|cable|29|paid
1629|gale|north|rotor|83|paid
1624|acme|south|valve|15|pending
1216|ionic|west|cable|26|held
1983|dorian|west|panel|67|pending
1644|dorian|west|cable|11|pending
1384|fulton|east|valve|98|paid
1184|harbor|north|valve|79|paid
1024|gale|west|valve|75|paid
1399|harbor|south|valve|66|shipped
1078|ember|east|gasket|72|paid
2005|birch|north|cable|88|paid
1035|gale|west|panel|60|shipped
1693|birch|west|rotor|27|pending
1409|birch|east|frame|51|shipped
1301|ember|south|panel|54|paid
1854|ionic|east|gasket|42|held
1550|fulton|east|pump|94|held
1236|ionic|east|pump|77|held
1180|acme|south|pump|44|held
1233|dorian|south|gasket|13|shipped
1129|harbor|north|sensor|75|shipped
1711|gale|south|rotor|74|held
1618|birch|west|gasket|51|pending
1218|gale|east|gasket|35|paid
1950|acme|west|rotor|92|pending
2014|birch|east|valve|19|paid
1941|acme|north|rotor|18|held
1785|dorian|east|sensor|71|pending
1061|ionic|west|pump|55|paid
1288|ember|south|pump|45|held
1436|birch|south|rotor|24|held
1087|dorian|south|sensor|54|paid
1715|dorian|west|panel|70|paid
1136|ionic|east|frame|59|paid
1900|birch|south|gasket|39|shipped
1273|juno|west|frame|15|pending
1466|dorian|west|cable|98|held
1425|ionic|east|panel|74|held
2060|birch|east|pump|59|pending
1488|juno|east|pump|80|paid
1752|gale|east|panel|91|shipped
1988|juno|east|cable|22|held
1032|gale|south|pump|56|pending
1419|acme|south|frame|57|shipped
1912|fulton|north|sensor|39|shipped
2069|fulton|north|sensor|90|shipped
1730|ionic|west|pump|60|pending
1546|fulton|east|sensor|70|pending
1608|juno|south|cable|76|pending
1905|cobalt|north|valve|11|held
1352|birch|south|panel|73|shipped
1048|gale|north|pump|60|pending
1633|cobalt|north|sensor|26|held
1110|fulton|west|frame|33|held
1673|acme|east|cable|58|pending
1253|gale|east|pump|55|pending
1980|fulton|south|panel|24|shipped
1100|cobalt|north|gasket|14|shipped
1305|ember|north|gasket|91|held
1471|acme|north|cable|55|paid
1271|harbor|west|rotor|15|held
2050|gale|north|rotor|50|held
1838|ember|west|rotor|82|pending
1575|juno|south|pump|93|paid
1849|acme|east|pump|47|shipped
1441|gale|east|rotor|82|paid
1874|birch|north|valve|16|held
2039|fulton|east|panel|48|paid
1685|cobalt|north|panel|19|pending
1919|harbor|north|valve|52|paid
1429|dorian|north|gasket|41|pending
1692|cobalt|east|cable|18|pending
1303|fulton|south|gasket|15|shipped
1636|cobalt|south|cable|85|held
1481|dorian|south|panel|68|held
1796|juno|south|cable|43|paid
1453|dorian|east|panel|53|held
2008|ember|east|frame|94|held
2054|acme|west|rotor|34|paid
1718|ember|north|rotor|21|held
1873|cobalt|north|rotor|88|shipped
1559|harbor|north|sensor|13|pending
2034|dorian|east|cable|60|paid
1938|fulton|south|gasket|76|shipped
1653|cobalt|south|rotor|69|held
1228|ember|south|panel|21|paid
1359|ember|south|gasket|49|held
1963|gale|north|frame|47|paid
1590|juno|north|panel|33|shipped
1863|dorian|south|pump|38|paid
1749|cobalt|south|sensor|38|shipped
1221|dorian|north|panel|57|shipped
1817|acme|south|sensor|72|held
1501|birch|south|frame|14|held
1585|harbor|east|rotor|83|held
1459|acme|west|frame|78|paid
1758|harbor|east|gasket|42|pending
1832|ember|north|pump|73|paid
1332|cobalt|north|cable|92|shipped
1640|birch|north|gasket|36|pending
1789|dorian|south|gasket|17|pending
1726|dorian|south|sensor|18|paid
1096|harbor|west|frame|61|paid
1188|fulton|north|gasket|88|held
1407|ionic|east|pump|97|paid
1928|acme|east|sensor|67|shipped
1952|ionic|east|panel|10|held
1447|juno|east|cable|80|paid
1353|juno|east|cable|98|held
1227|birch|east|frame|65|held
1230|gale|north|pump|89|shipped
2028|ionic|west|frame|28|held
1537|ember|south|rotor|54|held
2063|dorian|west|gasket|41|held
1825|ionic|west|frame|85|pending
1745|ember|north|panel|29|shipped
1054|gale|west|valve|57|shipped
1958|birch|south|sensor|83|held
1793|harbor|west|frame|30|held
1815|cobalt|west|frame|28|held
1991|ionic|east|sensor|52|held
1370|birch|north|pump|75|pending
1632|ionic|east|valve|28|pending
1313|cobalt|north|sensor|75|shipped
1903|juno|east|sensor|63|pending
1651|acme|south|gasket|28|pending
1587|harbor|east|cable|67|paid
1844|dorian|south|sensor|80|paid
1669|cobalt|south|valve|23|paid
1120|acme|north|gasket|39|shipped
1068|harbor|west|cable|69|paid
1705|ionic|north|cable|70|held
1976|harbor|east|cable|83|pending
1829|harbor|south|pump|36|pending
1173|cobalt|west|pump|22|held
1141|acme|east|pump|66|paid
1820|cobalt|south|rotor|71|held
1909|juno|east|pump|54|paid
1714|cobalt|east|sensor|13|pending
1259|ionic|west|cable|23|pending
1356|acme|west|rotor|24|paid
1104|acme|north|valve|42|held
1767|juno|east|pump|15|pending
1722|cobalt|east|cable|35|held
1020|gale|east|frame|73|pending
1879|dorian|east|valve|60|pending
1801|birch|south|valve|91|paid
1502|ember|west|rotor|45|pending
1812|gale|east|cable|98|paid
1476|ionic|west|cable|64|paid
1680|acme|east|gasket|17|held
1181|ionic|north|panel|15|held
1380|birch|north|rotor|60|held
1391|acme|south|panel|15|held
1777|ionic|south|gasket|14|shipped
1543|gale|south|sensor|46|shipped
1972|fulton|west|gasket|42|paid
1342|fulton|west|rotor|37|shipped
1373|harbor|south|frame|54|paid
1518|harbor|south|pump|36|shipped
1155|ionic|west|panel|79|held
1125|cobalt|west|valve|59|held
1998|gale|south|pump|95|paid
1755|gale|north|panel|51|held
1930|ember|west|cable|76|held
1872|harbor|west|panel|22|paid
1211|fulton|south|rotor|55|paid
1345|juno|south|pump|22|paid
1324|fulton|south|sensor|73|paid
1192|birch|south|valve|82|shipped
1571|ember|south|rotor|22|pending
1277|ember|west|sensor|87|held
1695|cobalt|west|rotor|34|paid
1613|fulton|north|panel|61|paid
1231|dorian|east|frame|26|held
1641|gale|south|sensor|93|held
1959|cobalt|north|pump|68|held
1747|fulton|west|cable|99|pending
1888|cobalt|north|pump|18|shipped
1334|gale|north|rotor|20|paid
1066|juno|north|valve|39|shipped
1412|acme|east|rotor|78|shipped
1701|dorian|south|panel|59|shipped
1437|acme|south|gasket|80|paid
1525|cobalt|south|valve|49|shipped
1861|harbor|north|rotor|99|shipped
1808|dorian|east|cable|96|shipped
1664|gale|north|valve|97|shipped
1282|dorian|west|cable|83|held
1340|ionic|east|cable|75|shipped
1390|gale|west|frame|18|shipped
2013|harbor|south|frame|82|pending
1528|harbor|north|sensor|94|pending
1713|ember|west|valve|24|pending
1578|ember|north|rotor|99|paid
1506|fulton|north|sensor|22|pending
1041|gale|west|valve|43|pending
1266|harbor|west|rotor|66|paid
2003|ember|south|gasket|88|shipped
1934|harbor|east|panel|89|pending
1196|cobalt|south|frame|42|shipped
1363|ember|east|rotor|37|paid
1243|cobalt|west|sensor|58|shipped
2076|cobalt|west|rotor|57|shipped
1984|ember|south|panel|25|shipped
1598|birch|south|panel|81|pending
1393|harbor|south|cable|62|shipped
1540|harbor|south|panel|30|paid
1206|acme|west|frame|86|shipped
1533|birch|east|frame|95|paid
1311|ember|east|cable|82|shipped
1147|dorian|west|panel|69|paid
1516|juno|east|sensor|95|shipped
1161|dorian|south|cable|83|pending
1906|cobalt|south|panel|20|pending
1086|birch|south|cable|93|pending
1840|fulton|north|rotor|36|shipped
2043|ember|west|sensor|74|pending
1350|ember|east|panel|88|shipped
1017|gale|west|rotor|76|pending
1468|harbor|west|sensor|51|shipped
1084|ember|east|frame|50|held
1377|ember|west|valve|78|shipped
2020|gale|east|rotor|27|pending
1094|dorian|east|rotor|56|shipped
1200|juno|west|valve|15|paid
2021|ember|south|sensor|61|pending
1117|ember|west|sensor|64|held
1287|acme|west|pump|14|paid
1870|acme|west|panel|59|pending
1321|ember|west|gasket|16|held
2038|harbor|west|sensor|95|shipped
1153|juno|north|gasket|77|shipped
1292|ember|east|valve|27|pending
1935|fulton|south|sensor|54|paid
2000|ember|north|panel|78|shipped
1369|fulton|west|pump|78|shipped
1367|dorian|south|pump|90|pending
1088|dorian|south|frame|79|paid
1318|harbor|east|gasket|27|pending
1596|harbor|north|cable|97|paid
1772|fulton|east|valve|90|pending
2010|juno|south|sensor|25|pending
1895|ember|east|sensor|78|paid
1915|fulton|east|cable|47|held
1166|ember|east|gasket|33|paid
1355|juno|west|pump|20|paid
1555|harbor|west|pump|32|paid
1073|acme|west|gasket|62|pending
1658|harbor|west|pump|99|pending
1494|fulton|west|rotor|88|shipped
1921|juno|east|cable|72|held
1143|ionic|west|valve|10|pending
1408|ionic|west|valve|22|held
1478|dorian|south|gasket|64|shipped
1738|ionic|west|valve|62|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "rotor", "qty": 76}},
{"tool": "cancel_order", "args": {"order_id": 1029}},
{"tool": "cancel_order", "args": {"order_id": 1041}}
]correctagentic.tools.ledger-v1conf 100% · 236ms · $0.004 · 914 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: $402
- delta: $328
- oscar: $646
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $131 from "oscar" to "delta"
2. pay $567 from "tango" to "oscar"
3. pay $219 from "tango" to "delta"
4. pay $163 from "oscar" 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": "oscar", "to": "delta", "amount": 131}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 165}},
{"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 567}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 219}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 219}},
{"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 163}}
]wrongagentic.tools.triage-v1conf 100% · 646ms · $0.005 · 1350 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- infra → silva
- auth → dubois
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 6)
2. "invoice total wrong" (category: payments, priority 6)
3. "SSO loop on login" (category: auth, 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:
(none extracted)wrongagentic.tools.deploy-v1conf 100% · 662ms · $0.003 · 642 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- auth-svc: gateway
- billing: auth-svc, gateway
- search: 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 "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:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 486ms · $0.003 · 782 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: $900
- delta: $359
- bravo: $526
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $348 from "tango" to "bravo"
2. pay $126 from "tango" to "delta"
3. pay $519 from "delta" to "bravo"
4. pay $474 from "bravo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 348}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 126}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 34}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 519}},
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 474}}
]correctagentic.tools.context-load-v1conf 100% · 310ms · $0.028 · 7086 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 (244 records, format: id|customer|region|item|qty|status):
```
1797|juno|west|pump|60|paid
1785|acme|north|rotor|44|shipped
1356|acme|south|panel|27|shipped
1954|juno|south|valve|44|paid
1186|fulton|south|gasket|31|paid
1263|ember|north|sensor|27|held
1432|juno|north|cable|44|held
1070|juno|west|gasket|55|pending
1205|fulton|south|sensor|45|paid
1187|cobalt|north|pump|59|paid
1657|fulton|west|valve|25|shipped
1904|ionic|west|panel|79|held
1918|acme|north|sensor|51|shipped
1663|fulton|east|gasket|45|shipped
1317|acme|west|frame|82|pending
1161|acme|south|sensor|48|held
1321|gale|south|pump|59|held
1416|acme|north|panel|63|pending
1629|fulton|west|panel|57|paid
1494|fulton|east|gasket|20|paid
1776|ionic|north|cable|20|paid
1177|acme|south|valve|40|held
1405|harbor|east|frame|67|paid
1409|gale|west|cable|12|pending
1713|fulton|east|frame|95|pending
1465|dorian|east|panel|56|shipped
1653|birch|east|cable|40|paid
1142|ionic|north|rotor|33|held
1655|gale|south|cable|21|pending
1524|acme|north|cable|59|pending
1515|juno|west|panel|37|shipped
1748|ember|north|frame|84|paid
1430|fulton|south|sensor|60|held
1875|dorian|west|panel|83|paid
1502|dorian|north|sensor|59|pending
1518|juno|north|frame|72|pending
1490|harbor|west|frame|32|shipped
1837|gale|south|panel|89|paid
1690|harbor|west|gasket|64|held
1457|ember|south|cable|77|shipped
1470|ionic|west|sensor|45|shipped
1166|cobalt|east|gasket|38|pending
1617|fulton|west|gasket|32|paid
1380|acme|south|sensor|51|held
1693|dorian|west|valve|12|pending
1223|dorian|west|panel|15|pending
1118|birch|south|frame|95|paid
1674|dorian|east|sensor|42|held
1351|ember|south|sensor|99|paid
1975|harbor|east|sensor|12|paid
1350|ionic|east|sensor|17|held
1254|fulton|east|cable|50|held
1805|dorian|north|frame|66|paid
1383|birch|north|rotor|18|paid
1103|ember|west|rotor|95|pending
1920|ionic|east|gasket|22|shipped
1445|birch|east|panel|53|pending
1066|juno|north|sensor|91|pending
1124|birch|east|panel|92|pending
1314|acme|east|rotor|44|shipped
1094|juno|west|frame|88|paid
1303|gale|north|sensor|72|held
1864|fulton|west|valve|53|pending
1343|ionic|east|frame|41|shipped
1664|dorian|south|gasket|57|paid
1927|harbor|east|sensor|66|shipped
1178|fulton|north|panel|41|shipped
1790|fulton|north|panel|67|paid
1305|fulton|east|pump|26|held
1354|acme|east|valve|52|pending
1087|juno|east|sensor|75|pending
1433|acme|north|panel|80|pending
1429|dorian|west|panel|73|pending
1687|birch|east|panel|85|held
1787|juno|east|valve|34|paid
1501|ionic|south|frame|83|shipped
1868|ionic|east|sensor|30|shipped
1121|ember|west|rotor|43|paid
1508|birch|west|frame|73|pending
1526|cobalt|north|pump|74|paid
1961|juno|south|pump|25|paid
1671|ember|north|pump|90|shipped
1563|dorian|south|panel|79|pending
1699|ember|north|cable|56|paid
1079|juno|west|frame|45|held
1814|cobalt|west|frame|67|held
1835|ember|south|gasket|99|pending
1080|juno|west|valve|94|pending
1169|ember|north|gasket|56|pending
1375|gale|south|valve|83|shipped
1955|acme|south|panel|75|pending
1112|ember|north|gasket|92|shipped
1761|ionic|east|valve|28|paid
1148|gale|south|sensor|91|shipped
1759|birch|north|panel|41|paid
1582|ember|east|cable|51|paid
1557|ember|south|frame|33|paid
1396|gale|north|sensor|15|held
1216|gale|south|valve|10|held
1237|harbor|south|rotor|26|shipped
1605|harbor|east|frame|62|shipped
1772|harbor|north|pump|12|shipped
1192|cobalt|east|frame|39|pending
1462|dorian|north|panel|68|held
1733|ember|south|frame|16|held
1909|fulton|east|valve|74|paid
1475|acme|north|rotor|36|paid
1403|harbor|south|valve|53|paid
1273|ember|north|frame|42|paid
1183|juno|north|pump|48|pending
1357|ember|north|panel|17|shipped
1647|ember|north|valve|85|pending
1570|gale|west|sensor|38|held
1965|cobalt|north|pump|55|shipped
1438|cobalt|north|cable|24|shipped
1974|acme|south|pump|97|held
1654|harbor|south|valve|24|shipped
1127|dorian|north|panel|21|pending
1907|harbor|east|rotor|63|pending
1849|harbor|south|valve|63|paid
1567|ember|south|valve|14|paid
1728|ionic|south|valve|25|paid
1067|juno|west|gasket|10|paid
1159|gale|south|valve|93|paid
1522|fulton|east|frame|20|pending
1916|ionic|south|rotor|91|held
1741|ember|north|frame|63|shipped
1530|acme|east|sensor|66|held
1423|birch|east|panel|30|pending
1137|fulton|north|frame|23|pending
1211|ember|east|gasket|73|shipped
1891|birch|east|gasket|82|paid
1944|harbor|south|frame|23|held
1855|fulton|east|gasket|71|shipped
1630|cobalt|east|rotor|72|held
1370|dorian|west|sensor|91|shipped
1293|acme|east|pump|57|paid
1389|birch|west|frame|68|pending
1180|ionic|south|gasket|65|paid
1779|juno|east|sensor|29|held
1824|juno|south|gasket|67|held
1858|acme|north|valve|65|pending
1324|cobalt|south|cable|49|pending
1843|cobalt|south|pump|38|pending
1727|birch|south|gasket|98|held
1801|acme|south|frame|38|shipped
1219|ionic|north|valve|99|pending
1726|harbor|north|panel|44|shipped
1749|ionic|south|cable|95|shipped
1539|birch|south|valve|70|held
1279|gale|west|sensor|95|shipped
1542|ionic|north|gasket|78|paid
1469|ionic|east|pump|59|pending
1311|birch|east|rotor|80|shipped
1534|ember|south|sensor|96|pending
1477|dorian|south|rotor|18|held
1413|cobalt|north|gasket|32|held
1287|cobalt|north|sensor|43|paid
1536|gale|north|cable|75|pending
1123|gale|west|panel|17|paid
1607|birch|east|rotor|72|held
1307|cobalt|north|valve|34|pending
1304|cobalt|south|gasket|29|held
1806|birch|north|sensor|42|held
1592|ionic|north|frame|15|shipped
1286|juno|west|panel|90|held
1100|ember|north|rotor|87|held
1482|birch|north|rotor|52|shipped
1950|gale|west|frame|51|paid
1871|acme|north|rotor|75|held
1172|birch|east|valve|74|shipped
1725|gale|east|valve|10|shipped
1599|gale|east|panel|61|held
1523|birch|south|sensor|40|paid
1844|ionic|north|cable|53|paid
1153|ionic|north|cable|70|paid
1883|acme|west|sensor|25|held
1564|gale|north|frame|93|paid
1554|cobalt|west|panel|84|held
1734|juno|south|panel|61|held
1720|birch|south|sensor|37|paid
1979|cobalt|east|pump|88|held
1812|dorian|north|panel|99|held
1658|cobalt|south|pump|38|pending
1706|juno|east|panel|71|shipped
1132|fulton|north|panel|37|pending
1338|gale|west|rotor|28|pending
1937|cobalt|west|gasket|21|held
1586|fulton|east|frame|67|paid
1239|fulton|south|pump|63|held
1122|dorian|east|frame|74|shipped
1931|juno|west|frame|88|paid
1830|ionic|west|valve|37|paid
1614|acme|south|gasket|98|pending
1732|cobalt|east|cable|32|held
1196|birch|west|sensor|91|shipped
1547|fulton|west|gasket|38|pending
1773|juno|east|cable|81|shipped
1299|acme|north|panel|50|shipped
1364|fulton|north|valve|64|pending
1204|gale|east|rotor|47|paid
1882|birch|south|sensor|80|shipped
1821|ionic|south|gasket|97|shipped
1747|juno|south|frame|55|pending
1917|ionic|west|gasket|46|pending
1642|harbor|east|cable|62|shipped
1577|cobalt|west|gasket|30|pending
1291|birch|south|pump|51|paid
1418|acme|east|gasket|44|held
1233|ember|north|gasket|75|shipped
1656|cobalt|north|gasket|12|held
1886|acme|west|valve|39|shipped
1829|gale|west|rotor|26|shipped
1635|cobalt|east|rotor|60|paid
1064|juno|west|cable|23|pending
1250|ionic|west|panel|95|pending
1419|harbor|west|sensor|96|paid
1740|ionic|east|cable|61|pending
1489|ember|west|sensor|75|held
1512|harbor|west|rotor|16|pending
1622|cobalt|north|pump|35|paid
1755|harbor|north|sensor|62|paid
1681|birch|west|pump|32|held
1329|birch|south|gasket|85|held
1766|cobalt|south|frame|77|held
1331|juno|north|panel|48|paid
1440|acme|west|rotor|39|held
1197|ember|east|frame|38|shipped
1076|juno|east|frame|44|pending
1930|birch|west|rotor|41|shipped
1108|ionic|east|panel|87|pending
1782|gale|south|rotor|69|shipped
1894|dorian|west|panel|80|shipped
1968|fulton|west|sensor|79|shipped
1898|cobalt|east|valve|43|held
1246|cobalt|north|sensor|42|paid
1857|birch|north|cable|34|held
1452|birch|south|rotor|12|held
1260|ionic|north|panel|93|paid
1719|dorian|north|cable|33|paid
1983|harbor|west|pump|28|shipped
1230|harbor|east|valve|49|pending
1267|cobalt|north|rotor|13|shipped
1472|birch|south|cable|70|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1064}},
{"tool": "cancel_order", "args": {"order_id": 1070}},
{"tool": "restock", "args": {"item": "valve", "qty": 94}}
]wrongagentic.tools.triage-v1conf 100% · 880ms · $0.006 · 1532 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 → rivera
- data → okafor
- infra → silva
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 5)
2. "records missing after import" (category: data, priority 3)
3. "invoice total wrong" (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:
(none extracted)correctagentic.tools.context-load-v1conf 100% · 1.4s · $0.027 · 6573 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 (245 records, format: id|customer|region|item|qty|status):
```
1599|harbor|east|panel|73|shipped
2222|juno|south|rotor|38|shipped
1875|cobalt|east|panel|85|held
1386|ionic|south|pump|38|shipped
2133|dorian|east|gasket|65|held
2056|dorian|east|panel|86|shipped
2185|harbor|east|rotor|82|shipped
2040|birch|east|rotor|20|pending
1802|acme|west|cable|46|paid
2043|gale|east|gasket|79|held
1611|ember|north|pump|59|paid
1917|fulton|west|pump|78|held
1421|ionic|north|valve|87|pending
1647|fulton|east|rotor|14|pending
1796|acme|south|sensor|56|held
1672|fulton|north|pump|54|shipped
1744|harbor|east|sensor|57|held
1572|birch|north|sensor|91|shipped
2149|gale|south|sensor|76|pending
1562|ember|north|gasket|85|held
1491|birch|north|pump|14|shipped
1658|ionic|north|panel|69|shipped
1377|juno|south|gasket|72|shipped
1783|dorian|west|frame|43|pending
1874|gale|east|pump|25|paid
1931|fulton|north|gasket|88|pending
1780|cobalt|east|frame|21|paid
1459|fulton|south|frame|52|held
1428|juno|east|panel|37|pending
1540|harbor|north|rotor|49|held
1545|dorian|west|sensor|73|paid
1888|dorian|south|rotor|25|held
2139|birch|north|gasket|44|held
1904|juno|north|valve|97|held
2080|acme|south|gasket|79|paid
1791|cobalt|east|panel|56|shipped
1579|dorian|west|sensor|15|paid
2050|birch|east|pump|13|pending
1675|cobalt|north|rotor|89|paid
1722|ionic|north|frame|42|paid
1397|fulton|west|sensor|38|shipped
2069|harbor|north|frame|62|paid
2061|dorian|east|cable|32|paid
1937|ember|north|valve|10|held
1671|birch|east|frame|51|held
1894|fulton|west|pump|98|paid
1713|juno|west|gasket|81|held
1477|ember|north|sensor|64|paid
1830|gale|north|valve|37|pending
1589|dorian|west|pump|56|pending
2215|ionic|east|cable|76|held
1837|harbor|south|pump|61|pending
1801|birch|east|rotor|65|shipped
1369|gale|north|rotor|84|pending
1548|gale|east|gasket|99|shipped
1362|gale|west|frame|48|held
2203|ionic|east|valve|24|paid
1630|cobalt|south|pump|69|shipped
1869|harbor|west|gasket|10|paid
1473|ember|south|sensor|51|paid
2175|cobalt|west|rotor|45|held
1450|acme|north|sensor|53|held
1436|juno|north|sensor|17|paid
1889|gale|east|gasket|99|paid
2129|ember|west|pump|20|pending
2035|ionic|north|valve|16|held
1973|harbor|north|frame|52|pending
1585|ionic|south|rotor|85|pending
1694|gale|north|valve|20|pending
1727|cobalt|east|valve|82|pending
1683|cobalt|north|cable|46|paid
2016|ionic|east|gasket|61|pending
2029|cobalt|east|sensor|75|paid
1956|ionic|south|rotor|57|paid
1913|birch|south|pump|83|paid
2074|acme|east|sensor|82|paid
1492|acme|north|panel|22|pending
2068|ember|east|rotor|69|paid
2110|ionic|east|panel|28|pending
1405|ember|west|gasket|45|held
1349|gale|south|pump|27|pending
1903|cobalt|south|cable|12|paid
2111|harbor|north|rotor|39|shipped
1678|harbor|south|pump|72|pending
1359|gale|south|frame|78|pending
1826|cobalt|west|pump|45|shipped
1470|ionic|west|rotor|98|shipped
1537|cobalt|north|rotor|65|held
1854|harbor|south|sensor|50|held
2008|gale|north|sensor|27|held
1576|acme|east|frame|19|paid
1628|fulton|south|cable|99|shipped
2204|ember|south|valve|81|shipped
1471|birch|south|cable|72|paid
2208|cobalt|east|valve|87|paid
1667|gale|north|rotor|57|held
1618|ember|west|frame|44|pending
1378|harbor|east|pump|94|held
1660|ionic|north|frame|47|paid
2159|gale|south|gasket|99|pending
1553|ember|east|gasket|42|shipped
1578|harbor|south|pump|66|pending
1625|harbor|east|valve|53|held
2019|dorian|south|frame|36|shipped
1345|gale|west|gasket|66|pending
1412|gale|east|panel|68|paid
1706|gale|north|pump|78|shipped
1505|juno|west|sensor|46|shipped
2170|fulton|west|cable|37|pending
1871|ionic|south|cable|57|pending
1838|dorian|north|gasket|88|shipped
1388|gale|west|pump|19|paid
1497|ember|west|cable|50|held
1724|acme|north|valve|87|held
1379|birch|east|valve|53|shipped
1859|juno|east|panel|89|paid
1915|harbor|west|cable|78|pending
1784|ember|east|gasket|92|paid
1845|acme|north|panel|64|pending
1919|fulton|north|cable|52|held
2123|acme|east|pump|23|paid
1881|gale|west|valve|75|paid
1400|dorian|east|rotor|57|paid
1882|harbor|north|sensor|68|held
1750|birch|west|frame|21|shipped
2242|birch|south|pump|23|shipped
2239|ember|east|pump|58|pending
2241|dorian|east|gasket|78|held
1998|acme|south|cable|74|shipped
1542|fulton|north|valve|26|pending
1657|dorian|east|frame|21|pending
1523|dorian|west|frame|65|paid
1567|ionic|west|rotor|15|held
1970|birch|north|pump|29|paid
1958|dorian|south|frame|42|pending
1912|ionic|south|frame|94|held
2164|dorian|west|pump|52|pending
1820|birch|south|pump|33|paid
1991|dorian|east|panel|69|pending
1389|cobalt|east|sensor|82|paid
1356|gale|west|valve|76|paid
1962|cobalt|east|cable|30|pending
1476|dorian|north|valve|36|shipped
1948|ember|south|sensor|66|paid
1437|harbor|west|pump|43|shipped
1734|ember|south|rotor|75|pending
1738|gale|south|panel|64|shipped
1465|ionic|north|sensor|40|pending
2094|ionic|south|valve|82|paid
2137|cobalt|south|rotor|95|held
1530|acme|west|cable|28|shipped
1486|cobalt|west|panel|81|paid
1511|dorian|south|cable|64|paid
1771|cobalt|north|valve|41|paid
1544|juno|south|panel|74|held
1933|acme|south|frame|39|paid
1604|ember|west|rotor|43|paid
2150|juno|west|sensor|45|pending
2198|juno|east|pump|92|pending
1986|ionic|south|valve|23|paid
2063|dorian|east|panel|90|shipped
2064|ionic|west|cable|78|pending
1594|gale|west|frame|74|paid
2005|fulton|south|valve|76|held
2233|harbor|west|frame|91|shipped
1654|juno|east|valve|86|shipped
1767|birch|west|rotor|84|pending
1363|gale|west|valve|12|pending
1484|harbor|south|sensor|23|shipped
2024|acme|west|gasket|48|paid
1639|cobalt|east|rotor|21|pending
1669|gale|north|sensor|38|paid
1816|birch|west|sensor|55|held
1391|dorian|north|frame|72|pending
2078|gale|south|sensor|35|paid
1592|harbor|west|gasket|29|held
1896|ember|south|frame|39|shipped
1836|cobalt|east|sensor|76|shipped
1789|ionic|north|panel|47|pending
1806|fulton|east|panel|73|shipped
1440|juno|south|pump|86|held
1637|harbor|south|sensor|12|pending
2013|ember|north|cable|28|paid
1418|dorian|north|cable|79|shipped
2103|dorian|west|frame|66|shipped
2131|juno|north|rotor|10|pending
1536|fulton|north|cable|83|pending
1967|juno|south|pump|91|held
1980|dorian|west|sensor|70|held
1977|gale|east|panel|47|paid
1556|dorian|south|gasket|47|held
1688|juno|east|cable|17|paid
1873|gale|south|rotor|42|shipped
1900|fulton|south|frame|81|pending
1552|fulton|north|pump|82|paid
2194|acme|east|rotor|58|held
1568|cobalt|south|sensor|71|held
1817|dorian|west|pump|62|held
1700|dorian|south|gasket|49|shipped
2179|ionic|north|frame|91|pending
2116|harbor|east|valve|22|paid
1849|juno|south|rotor|34|shipped
2152|ionic|east|rotor|85|held
1504|dorian|east|pump|89|held
1434|birch|north|rotor|46|shipped
2257|juno|west|frame|86|shipped
2228|juno|east|pump|42|paid
2145|ember|south|pump|30|held
1455|birch|north|valve|78|pending
1754|gale|west|frame|33|paid
1446|dorian|west|valve|16|shipped
1907|fulton|south|valve|25|shipped
1641|cobalt|north|pump|33|pending
1708|acme|east|rotor|94|shipped
2125|cobalt|north|rotor|75|held
1906|fulton|west|gasket|58|pending
2183|juno|west|pump|19|held
1944|juno|west|gasket|81|pending
1716|ember|south|frame|96|shipped
1863|birch|east|frame|53|pending
1358|gale|west|valve|91|pending
1488|juno|east|rotor|94|pending
1955|dorian|east|cable|61|pending
1632|birch|north|frame|15|held
2115|fulton|south|panel|50|held
2047|birch|east|pump|53|pending
1518|acme|east|rotor|59|pending
1375|gale|west|sensor|59|shipped
2249|fulton|west|sensor|90|held
2135|dorian|east|gasket|32|shipped
2191|ember|west|sensor|34|pending
1764|acme|north|pump|84|pending
1778|birch|east|frame|64|pending
1997|harbor|north|gasket|12|held
1925|birch|south|pump|53|pending
1945|birch|east|valve|55|shipped
1711|dorian|west|rotor|20|shipped
1383|cobalt|east|valve|97|pending
1781|ionic|south|gasket|83|pending
1809|dorian|north|panel|33|shipped
2252|dorian|south|rotor|52|held
1805|fulton|north|frame|48|shipped
2087|acme|west|frame|24|shipped
1757|harbor|west|frame|80|pending
2097|cobalt|east|panel|90|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1345}},
{"tool": "restock", "args": {"item": "valve", "qty": 91}},
{"tool": "cancel_order", "args": {"order_id": 1363}}
]wrongagentic.tools.deploy-v1conf 100% · 151ms · $0.003 · 672 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: (none)
- reports: notifier
- search: billing
- billing: notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 322ms · $0.002 · 549 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $523
- bravo: $842
- delta: $492
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $257 from "bravo" to "echo"
2. pay $207 from "delta" to "bravo"
3. pay $299 from "bravo" to "delta"
4. pay $443 from "echo" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 257}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 207}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 299}},
{"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 443}}
]wrongagentic.tools.triage-v1conf 100% · 405ms · $0.004 · 1139 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → chen
- data → okafor
- infra → dubois
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 4)
3. "locked out after 2FA change" (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:
(none extracted)wrongagentic.tools.deploy-v1conf 100% · 646ms · $0.004 · 1033 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: billing
- billing: (none)
- reports: billing
- gateway: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 485ms · $0.004 · 974 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $378
- kilo: $436
- echo: $433
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $543 from "kilo" to "delta"
2. pay $347 from "kilo" to "delta"
3. pay $326 from "delta" to "kilo"
4. pay $111 from "delta" to "kilo"
5. pay $501 from "delta" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 107}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 543}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 347}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 347}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 326}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 111}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 501}}
]wrongagentic.tools.triage-v1conf 100% · 969ms · $0.007 · 1866 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 → haddad
- payments → dubois
- infra → chen
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 8)
2. "invoice total wrong" (category: payments, priority 5)
3. "locked out after 2FA change" (category: auth, priority 8)
4. "SSO loop on login" (category: auth, 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:
(none extracted)correctagentic.tools.context-load-v1conf 100% · 895ms · $0.016 · 3998 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 (152 records, format: id|customer|region|item|qty|status):
```
1137|ionic|south|sensor|29|pending
1485|juno|east|pump|74|held
1470|gale|east|frame|41|held
1395|dorian|north|sensor|48|pending
1488|harbor|west|rotor|64|paid
1661|harbor|north|sensor|81|held
1322|dorian|east|valve|78|pending
1154|gale|south|cable|63|pending
1104|acme|west|pump|73|pending
1403|ionic|south|cable|80|paid
1222|birch|north|valve|82|paid
1666|ionic|west|sensor|78|shipped
1257|gale|north|frame|40|paid
1241|birch|north|gasket|64|held
1123|acme|west|cable|43|paid
1361|dorian|west|frame|58|shipped
1543|birch|west|frame|26|pending
1340|cobalt|west|pump|68|shipped
1620|acme|east|frame|79|shipped
1635|gale|south|cable|22|held
1615|acme|west|cable|17|paid
1508|ember|east|gasket|60|pending
1101|acme|south|gasket|30|pending
1414|juno|north|pump|94|shipped
1354|gale|east|valve|64|held
1249|ionic|north|panel|50|pending
1559|dorian|north|panel|26|paid
1358|dorian|west|valve|28|pending
1255|ionic|west|sensor|90|held
1381|gale|north|panel|89|shipped
1433|harbor|north|gasket|19|paid
1534|birch|south|panel|75|shipped
1451|fulton|south|valve|12|held
1264|harbor|west|valve|75|held
1130|harbor|west|valve|84|shipped
1306|ionic|south|valve|28|pending
1551|gale|west|pump|60|paid
1495|cobalt|north|panel|64|pending
1371|acme|east|rotor|79|held
1452|juno|west|panel|77|paid
1092|acme|west|pump|45|shipped
1167|ionic|north|cable|47|paid
1234|ionic|south|cable|40|held
1638|fulton|west|pump|81|pending
1089|acme|west|gasket|15|pending
1426|birch|east|cable|11|held
1117|acme|south|gasket|50|pending
1301|ember|west|cable|92|paid
1175|gale|east|gasket|60|held
1597|birch|south|rotor|71|shipped
1427|cobalt|west|frame|13|pending
1409|gale|west|sensor|25|shipped
1442|acme|south|pump|72|held
1097|acme|west|pump|48|pending
1664|ember|east|valve|37|paid
1208|ember|south|cable|13|shipped
1678|ember|east|pump|23|shipped
1374|fulton|south|cable|65|shipped
1196|cobalt|west|frame|94|paid
1364|dorian|south|frame|35|held
1563|harbor|east|gasket|81|pending
1307|harbor|north|cable|10|held
1199|acme|south|gasket|68|pending
1604|dorian|east|cable|71|held
1651|gale|north|panel|98|held
1673|cobalt|south|cable|49|paid
1613|fulton|north|rotor|55|shipped
1227|harbor|south|panel|15|shipped
1384|acme|south|pump|13|pending
1161|dorian|west|sensor|62|pending
1143|fulton|north|cable|28|held
1368|dorian|north|pump|22|shipped
1189|acme|east|sensor|31|paid
1321|dorian|west|cable|66|shipped
1679|cobalt|west|pump|91|pending
1514|birch|east|gasket|34|shipped
1444|acme|north|frame|94|pending
1314|ionic|west|gasket|79|held
1644|ionic|east|rotor|77|pending
1106|acme|east|pump|96|pending
1276|harbor|north|cable|31|held
1091|acme|south|sensor|63|pending
1128|ionic|north|cable|31|pending
1328|gale|north|sensor|55|pending
1114|acme|west|panel|50|pending
1294|fulton|east|pump|70|paid
1246|cobalt|south|valve|74|shipped
1465|gale|south|frame|72|held
1170|gale|west|valve|29|paid
1215|fulton|east|gasket|52|shipped
1391|acme|west|panel|81|shipped
1528|ionic|south|gasket|82|shipped
1286|ember|west|cable|83|held
1475|birch|south|sensor|90|shipped
1289|acme|north|frame|73|held
1630|juno|east|sensor|81|paid
1271|birch|north|panel|43|paid
1537|birch|west|panel|72|paid
1524|fulton|east|rotor|47|held
1441|cobalt|west|panel|13|paid
1523|juno|west|gasket|69|paid
1240|juno|south|pump|11|shipped
1619|harbor|north|frame|67|paid
1401|fulton|west|panel|91|pending
1085|acme|west|frame|45|shipped
1296|birch|south|cable|98|shipped
1347|fulton|north|gasket|17|pending
1272|gale|east|cable|22|held
1149|harbor|north|panel|95|pending
1103|acme|west|valve|43|held
1657|ionic|west|cable|57|pending
1283|gale|south|gasket|75|pending
1333|harbor|east|pump|47|held
1108|acme|west|pump|98|paid
1662|juno|west|sensor|53|held
1080|acme|west|frame|59|pending
1457|ember|east|frame|82|shipped
1421|cobalt|east|pump|53|paid
1439|cobalt|east|rotor|82|held
1082|acme|east|sensor|99|pending
1589|ember|west|cable|90|paid
1210|acme|east|panel|95|shipped
1213|cobalt|east|rotor|86|held
1349|ember|west|valve|59|pending
1625|harbor|west|cable|40|paid
1252|ionic|west|sensor|28|shipped
1464|birch|north|frame|21|pending
1553|ionic|north|valve|95|paid
1511|birch|south|frame|37|paid
1380|fulton|west|sensor|97|paid
1268|dorian|west|rotor|92|shipped
1183|harbor|east|valve|96|pending
1582|gale|south|pump|69|shipped
1578|ionic|east|panel|50|held
1549|ionic|north|panel|91|held
1521|ionic|south|rotor|66|paid
1431|dorian|south|rotor|34|shipped
1533|juno|south|valve|76|paid
1626|fulton|north|panel|79|shipped
1611|ionic|south|panel|39|held
1203|fulton|north|frame|64|shipped
1317|juno|east|pump|57|held
1590|cobalt|south|cable|88|paid
1178|ionic|west|panel|72|held
1482|gale|east|rotor|35|shipped
1577|birch|west|rotor|80|paid
1492|ionic|east|sensor|94|held
1628|ionic|west|gasket|85|pending
1502|harbor|south|frame|64|pending
1570|juno|south|pump|73|held
1192|birch|south|pump|80|held
1285|gale|east|valve|46|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "frame", "qty": 59}},
{"tool": "cancel_order", "args": {"order_id": 1089}},
{"tool": "restock", "args": {"item": "pump", "qty": 48}},
{"tool": "restock", "args": {"item": "pump", "qty": 73}},
{"tool": "restock", "args": {"item": "panel", "qty": 50}}
]correctagentic.tools.deploy-v1conf 100% · 388ms · $0.003 · 855 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: (none)
- billing: gateway, notifier
- gateway: auth-svc, notifier
- notifier: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}}
]correctagentic.tools.context-load-v1conf 100% · 367ms · $0.026 · 6544 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 (200 records, format: id|customer|region|item|qty|status):
```
1888|gale|north|gasket|14|pending
1411|ember|west|gasket|24|pending
1751|ember|east|sensor|44|held
1510|harbor|west|panel|43|paid
1929|ember|south|panel|55|shipped
1778|birch|south|pump|78|pending
1452|fulton|east|rotor|48|held
2084|acme|west|rotor|35|held
1562|juno|north|valve|73|pending
1600|acme|east|pump|73|paid
2070|ionic|north|sensor|55|pending
1999|ember|east|cable|70|paid
2004|harbor|north|rotor|79|held
1703|birch|south|cable|28|paid
1509|dorian|south|valve|94|paid
1908|birch|north|cable|21|pending
1700|acme|north|panel|18|pending
1846|acme|east|frame|55|paid
1405|ember|west|pump|81|paid
1787|juno|west|panel|85|pending
1534|birch|north|sensor|65|pending
2014|ionic|east|gasket|75|paid
1580|dorian|west|frame|44|shipped
2001|cobalt|east|frame|74|held
1637|juno|east|gasket|87|shipped
1958|fulton|north|valve|95|paid
1567|ember|west|rotor|54|paid
2056|birch|north|sensor|95|held
2095|gale|east|valve|34|paid
1512|juno|north|valve|88|shipped
1953|dorian|west|sensor|73|paid
1538|harbor|south|panel|32|held
1575|ionic|south|valve|97|pending
1542|fulton|south|rotor|90|pending
1802|fulton|east|panel|73|held
1440|ember|west|valve|42|shipped
1675|dorian|west|rotor|33|pending
1960|juno|east|pump|27|paid
1546|harbor|east|pump|55|paid
1647|gale|north|cable|86|held
1446|fulton|east|sensor|25|paid
1605|birch|west|panel|87|held
1684|ionic|west|cable|22|shipped
1969|fulton|south|frame|43|pending
1985|fulton|south|valve|96|pending
2096|dorian|west|gasket|47|pending
1725|juno|west|panel|63|pending
1852|birch|east|gasket|93|paid
1738|birch|west|rotor|77|pending
1681|harbor|north|sensor|60|paid
2047|fulton|west|rotor|18|paid
1997|juno|south|gasket|97|pending
1652|ember|east|rotor|33|pending
1805|dorian|north|cable|12|pending
1568|harbor|north|rotor|98|held
1631|birch|north|gasket|69|pending
1566|birch|east|frame|61|pending
1781|gale|north|gasket|91|held
1963|fulton|south|frame|12|paid
1522|dorian|east|frame|99|shipped
1732|dorian|north|panel|95|held
1468|ionic|east|cable|50|shipped
2065|cobalt|south|panel|28|held
2064|gale|north|cable|70|held
2073|fulton|east|valve|78|shipped
1518|birch|south|rotor|54|held
2025|cobalt|south|valve|67|held
2010|harbor|east|rotor|43|held
1839|ionic|west|valve|65|held
1549|juno|north|cable|73|held
1627|ember|east|cable|23|held
2093|ember|south|pump|38|pending
2119|dorian|west|valve|91|held
1772|harbor|north|frame|92|pending
1464|birch|south|pump|65|shipped
2068|birch|north|pump|18|held
1373|ember|west|rotor|34|pending
2032|cobalt|south|panel|94|held
1582|birch|east|panel|10|shipped
1753|acme|east|panel|54|shipped
1854|fulton|east|pump|23|pending
1726|acme|west|frame|75|held
1482|juno|north|frame|98|pending
1967|gale|east|sensor|32|paid
1715|cobalt|south|valve|56|paid
1775|ember|east|cable|66|shipped
1868|ember|west|pump|73|held
1420|ember|west|valve|25|held
1942|ionic|north|valve|50|held
1767|cobalt|south|sensor|17|held
1762|gale|west|valve|95|held
1676|juno|north|cable|12|pending
2019|ember|south|gasket|30|paid
2074|ember|east|sensor|32|held
1881|gale|south|rotor|18|held
2090|cobalt|east|gasket|98|pending
1672|ember|north|frame|48|pending
1895|dorian|north|frame|36|shipped
2059|cobalt|south|rotor|51|pending
1744|acme|east|sensor|10|shipped
1861|cobalt|south|cable|22|pending
1669|cobalt|west|valve|71|shipped
1913|dorian|north|gasket|91|pending
1717|birch|south|cable|29|held
1950|acme|east|cable|46|shipped
1682|ionic|south|pump|13|shipped
2107|ember|west|pump|93|shipped
1976|ember|east|sensor|77|held
1920|ionic|north|gasket|36|paid
1469|fulton|east|gasket|79|shipped
1492|juno|west|gasket|17|held
1962|juno|east|pump|67|pending
1760|fulton|east|cable|14|held
1905|ember|north|frame|59|held
1742|harbor|east|cable|75|shipped
1457|acme|west|gasket|13|held
1543|juno|north|sensor|72|shipped
1819|acme|south|frame|56|shipped
1385|ember|west|frame|63|pending
2110|gale|west|gasket|42|held
2128|gale|west|rotor|36|pending
1388|ember|south|cable|74|pending
2126|juno|south|frame|59|held
1856|cobalt|west|frame|10|pending
1930|birch|west|pump|19|pending
1532|dorian|south|panel|33|paid
1901|cobalt|south|gasket|36|paid
1502|acme|south|pump|33|pending
1821|gale|east|sensor|52|shipped
1935|harbor|north|sensor|93|shipped
2100|gale|west|pump|69|pending
1476|dorian|west|cable|27|held
1477|acme|south|frame|87|paid
1401|ember|north|cable|37|pending
2130|harbor|west|frame|62|held
1616|harbor|west|sensor|14|shipped
2099|gale|west|gasket|59|pending
1808|birch|east|valve|14|held
1569|birch|west|frame|69|held
1721|dorian|east|sensor|28|held
1434|ember|south|panel|80|pending
1898|acme|north|rotor|95|held
2076|ionic|west|valve|86|paid
1708|juno|south|panel|34|shipped
1397|ember|west|cable|99|pending
1499|ionic|west|gasket|70|paid
1979|acme|south|rotor|60|paid
2035|ionic|east|rotor|16|paid
1595|cobalt|south|panel|18|pending
1472|birch|west|gasket|96|pending
1656|harbor|west|cable|98|paid
1695|fulton|west|pump|62|held
1537|cobalt|east|sensor|79|pending
1526|ionic|east|pump|86|pending
1663|juno|south|pump|92|held
1619|acme|south|rotor|59|paid
2053|harbor|west|cable|37|paid
2077|fulton|west|sensor|22|held
1612|ionic|west|frame|96|shipped
1657|ionic|south|cable|50|shipped
1875|acme|south|panel|17|shipped
1955|ember|east|panel|45|paid
1771|fulton|south|cable|87|pending
1378|ember|north|sensor|60|pending
1556|cobalt|east|cable|21|paid
1991|fulton|south|sensor|42|paid
1949|gale|south|gasket|21|paid
1709|acme|south|valve|79|paid
1927|cobalt|west|cable|87|paid
1660|gale|south|frame|21|held
1382|ember|west|gasket|83|held
2115|harbor|north|gasket|75|held
1642|harbor|south|sensor|56|held
1488|birch|north|sensor|43|held
1654|ember|west|gasket|27|held
1733|ionic|east|valve|35|held
1394|ember|west|pump|49|shipped
1792|gale|south|sensor|42|shipped
1670|ember|west|pump|35|paid
1816|fulton|south|gasket|36|held
1814|acme|west|valve|42|pending
1427|ember|west|rotor|40|pending
1589|birch|west|frame|87|shipped
1795|cobalt|east|frame|96|pending
1689|birch|west|rotor|15|paid
1975|ember|west|gasket|30|held
2088|ionic|south|cable|17|held
2067|birch|north|rotor|66|shipped
1692|fulton|east|sensor|18|shipped
1624|acme|south|frame|63|shipped
2040|ionic|west|cable|39|shipped
1471|birch|west|cable|72|paid
1479|acme|west|gasket|31|pending
1414|ember|south|gasket|43|pending
1836|juno|north|gasket|15|held
1965|harbor|west|rotor|26|held
1601|ionic|east|frame|99|held
1827|acme|west|pump|37|pending
1946|cobalt|east|cable|69|held
1832|dorian|north|pump|25|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 40, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1373}},
{"tool": "restock", "args": {"item": "frame", "qty": 63}},
{"tool": "restock", "args": {"item": "cable", "qty": 99}},
{"tool": "cancel_order", "args": {"order_id": 1411}},
{"tool": "cancel_order", "args": {"order_id": 1427}}
]wrongagentic.tools.triage-v1conf 100% · 728ms · $0.005 · 1404 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 → chen
- infra → rivera
- payments → haddad
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "API latency spikes" (category: infra, priority 4)
3. "API latency spikes" (category: infra, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.ledger-v1conf 100% · 326ms · $0.003 · 882 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $822
- lima: $305
- oscar: $542
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $563 from "kilo" to "oscar"
2. pay $575 from "kilo" to "lima"
3. pay $112 from "oscar" to "kilo"
4. pay $511 from "oscar" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 797ms · $0.003 · 855 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: notifier
- reports: billing, notifier
- notifier: (none)
- search: billing, notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}}
]correctagentic.tools.context-load-v1conf 100% · 451ms · $0.035 · 8759 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 (273 records, format: id|customer|region|item|qty|status):
```
2045|gale|north|valve|24|shipped
1637|birch|north|panel|22|shipped
1597|dorian|east|rotor|53|shipped
2064|acme|south|sensor|14|held
2259|fulton|north|gasket|30|shipped
1804|cobalt|west|rotor|55|paid
2188|harbor|west|valve|66|pending
2312|fulton|north|valve|28|held
1931|harbor|south|pump|97|shipped
1450|ember|west|sensor|84|pending
2475|fulton|north|valve|81|shipped
2343|gale|north|pump|39|pending
2471|fulton|west|sensor|81|pending
1645|acme|south|valve|70|paid
2166|cobalt|west|gasket|86|held
1862|birch|south|pump|39|paid
2232|fulton|east|panel|57|pending
1825|dorian|west|cable|84|held
1770|ember|east|sensor|43|shipped
2115|ionic|north|gasket|17|shipped
1591|birch|west|frame|72|held
1467|birch|west|frame|62|pending
1577|ionic|south|frame|30|held
1628|acme|east|pump|37|held
1477|fulton|north|sensor|95|pending
2282|gale|east|sensor|44|paid
1697|gale|east|rotor|65|paid
1983|harbor|south|gasket|99|pending
1476|juno|west|sensor|39|paid
1709|acme|west|cable|36|shipped
1817|ionic|west|cable|70|held
1743|ionic|north|valve|69|shipped
1921|gale|east|panel|29|held
1977|ionic|north|frame|77|pending
2334|acme|east|frame|84|held
1691|fulton|north|panel|21|paid
1711|acme|west|rotor|41|shipped
1416|gale|west|sensor|79|paid
1755|dorian|north|frame|41|held
1895|ionic|east|pump|12|shipped
1845|ember|south|gasket|20|paid
1801|cobalt|east|valve|85|shipped
2376|ember|west|valve|89|pending
1767|cobalt|west|panel|98|paid
2484|ionic|south|panel|62|shipped
1608|fulton|south|gasket|93|paid
1411|gale|west|frame|90|pending
2057|acme|west|cable|12|shipped
1952|birch|north|sensor|98|paid
1776|fulton|east|gasket|84|held
1863|acme|north|sensor|40|paid
2077|acme|west|gasket|16|held
2070|acme|east|sensor|67|paid
1920|gale|east|sensor|45|shipped
2000|cobalt|east|gasket|99|shipped
2286|birch|north|valve|65|held
1717|gale|west|gasket|93|shipped
1615|ember|south|pump|45|paid
1429|gale|west|frame|97|paid
1438|acme|east|valve|15|pending
2436|birch|south|panel|74|held
2014|cobalt|west|valve|53|pending
2008|acme|north|cable|71|pending
1938|ionic|east|rotor|91|pending
1947|juno|south|gasket|25|shipped
2349|ionic|south|sensor|49|pending
1536|cobalt|west|sensor|73|pending
1537|juno|south|panel|53|paid
1519|ember|north|frame|23|pending
1443|cobalt|west|pump|65|pending
1453|cobalt|west|panel|14|paid
1869|birch|north|valve|94|shipped
1651|birch|west|rotor|22|pending
2106|harbor|east|rotor|94|shipped
1633|dorian|east|rotor|52|held
1934|birch|west|panel|34|shipped
2296|dorian|west|pump|44|paid
1858|birch|south|pump|25|paid
2262|ember|north|pump|32|held
1620|cobalt|east|gasket|53|pending
1706|fulton|north|panel|61|paid
1966|harbor|east|cable|40|pending
2224|birch|west|pump|15|held
2084|gale|north|frame|51|shipped
1642|harbor|south|sensor|60|held
1834|cobalt|south|rotor|29|shipped
1648|fulton|north|panel|16|held
1501|cobalt|north|pump|97|held
2378|dorian|west|frame|55|shipped
1513|ember|west|cable|75|paid
1822|gale|south|valve|22|pending
2043|fulton|west|valve|78|shipped
1625|acme|north|panel|74|pending
2446|harbor|north|cable|20|held
1890|fulton|east|valve|22|shipped
2252|ember|south|panel|27|paid
2059|juno|south|rotor|41|paid
1970|gale|west|valve|68|paid
2212|birch|east|rotor|20|paid
1796|juno|east|frame|30|shipped
1898|cobalt|west|sensor|10|paid
2140|dorian|west|pump|82|pending
2039|acme|south|cable|67|shipped
1789|juno|east|rotor|31|held
2200|ember|north|frame|82|paid
1852|fulton|east|panel|29|shipped
2416|ionic|west|sensor|41|pending
2037|cobalt|north|panel|35|shipped
1575|ionic|south|rotor|29|paid
2193|birch|east|valve|50|paid
2040|harbor|north|valve|50|held
2388|ionic|west|frame|59|pending
1567|juno|east|rotor|17|pending
2028|fulton|west|valve|10|paid
1826|dorian|south|panel|67|held
2091|acme|north|panel|78|pending
2277|cobalt|south|sensor|95|paid
2272|ember|east|panel|83|shipped
1933|birch|west|gasket|34|held
1389|gale|west|rotor|36|held
2500|birch|north|frame|62|held
2190|cobalt|east|sensor|12|held
1460|ionic|north|sensor|12|paid
2109|fulton|north|valve|33|pending
2103|ionic|north|cable|40|held
2441|dorian|east|frame|22|paid
1771|acme|east|panel|21|shipped
2492|ionic|east|panel|83|pending
2156|gale|south|rotor|91|shipped
2025|juno|west|rotor|55|held
2432|harbor|east|sensor|77|pending
1492|ember|south|gasket|19|shipped
2415|cobalt|east|panel|23|pending
2051|birch|north|cable|90|shipped
1745|harbor|south|rotor|65|pending
1828|ionic|north|frame|48|shipped
2339|birch|west|sensor|22|pending
2230|fulton|west|panel|66|shipped
1782|juno|east|pump|91|paid
2319|harbor|west|valve|84|pending
2222|fulton|east|pump|40|held
2355|cobalt|west|rotor|32|shipped
1434|gale|south|frame|28|shipped
2422|ember|south|cable|12|shipped
1998|birch|east|valve|76|paid
1744|gale|south|pump|80|pending
2161|juno|south|rotor|90|paid
2120|ionic|west|valve|21|paid
2362|dorian|east|cable|56|held
2072|ember|south|pump|61|held
2219|juno|south|valve|67|paid
1636|cobalt|west|rotor|71|paid
1731|birch|east|frame|59|shipped
1382|gale|east|pump|40|pending
1954|gale|north|cable|77|held
1617|harbor|east|cable|69|paid
1483|juno|east|panel|58|pending
2174|ember|north|cable|94|pending
1544|juno|north|valve|31|held
2221|dorian|south|valve|19|held
1619|acme|east|pump|14|held
2409|fulton|north|gasket|16|shipped
1910|birch|north|valve|79|pending
1579|cobalt|east|sensor|35|shipped
1877|acme|west|rotor|69|shipped
1405|gale|west|rotor|94|shipped
2464|cobalt|west|pump|99|held
1413|gale|north|pump|98|pending
1554|acme|east|frame|31|held
1422|gale|west|rotor|60|pending
2127|fulton|east|pump|21|pending
2462|dorian|east|sensor|90|held
2369|gale|west|panel|95|shipped
2480|birch|west|rotor|29|held
2007|harbor|south|sensor|72|held
1521|fulton|south|valve|77|pending
1861|fulton|west|cable|35|shipped
1601|ionic|north|cable|95|paid
2060|birch|east|frame|88|paid
1959|juno|south|pump|71|shipped
2173|dorian|south|panel|32|held
1971|fulton|west|gasket|43|pending
2239|cobalt|south|panel|86|shipped
2016|ionic|west|frame|74|held
2304|ember|south|valve|10|pending
2243|gale|west|frame|61|pending
2095|birch|west|frame|60|shipped
1836|birch|south|panel|90|held
2491|acme|south|rotor|65|paid
2404|acme|south|sensor|36|shipped
1654|juno|north|pump|90|held
1396|gale|west|cable|38|pending
2497|ionic|west|frame|56|shipped
2326|cobalt|north|sensor|72|held
1528|harbor|north|frame|68|paid
1884|birch|south|cable|98|paid
1695|fulton|south|sensor|56|pending
2284|dorian|south|rotor|46|shipped
2080|ionic|south|sensor|25|pending
2336|juno|east|panel|63|paid
2266|ionic|west|panel|98|paid
2176|birch|north|cable|34|paid
1719|harbor|south|valve|45|paid
1490|dorian|east|pump|63|paid
2399|acme|east|rotor|28|paid
1662|juno|west|pump|80|held
2451|ionic|west|sensor|39|pending
2295|birch|north|rotor|12|pending
1904|cobalt|north|cable|52|shipped
2245|dorian|south|panel|24|held
1838|harbor|south|rotor|61|held
1558|birch|east|sensor|77|paid
1584|harbor|west|panel|41|pending
1875|cobalt|east|cable|12|pending
2119|ember|west|rotor|83|paid
1566|cobalt|south|frame|71|held
2248|birch|south|frame|54|shipped
2152|fulton|north|pump|30|shipped
1507|gale|east|frame|11|paid
2455|fulton|north|cable|85|pending
2097|ionic|south|panel|21|shipped
1478|ember|east|valve|52|held
1718|dorian|west|gasket|53|held
2145|acme|west|panel|61|shipped
1573|birch|west|pump|74|paid
2389|birch|north|cable|10|pending
2182|acme|west|sensor|44|held
2383|cobalt|north|rotor|36|held
1682|dorian|west|panel|15|paid
2393|ember|north|gasket|17|shipped
1870|juno|west|gasket|23|paid
2073|ionic|south|gasket|25|shipped
2207|ionic|west|sensor|49|held
1814|birch|south|cable|38|shipped
1749|gale|south|valve|59|shipped
1703|acme|south|frame|48|held
1580|fulton|south|sensor|68|shipped
1533|harbor|east|rotor|36|held
2132|harbor|south|rotor|42|pending
2138|acme|south|sensor|38|shipped
2331|fulton|west|cable|61|paid
1688|gale|south|valve|80|paid
1941|gale|north|cable|76|pending
1762|harbor|north|gasket|62|pending
1423|gale|south|rotor|58|pending
1669|ionic|south|cable|13|held
1565|ionic|south|valve|10|held
1737|acme|west|cable|86|paid
2148|ember|north|valve|43|paid
1658|dorian|west|gasket|89|held
1927|dorian|west|panel|85|shipped
2418|juno|north|gasket|62|paid
1550|acme|south|frame|59|held
1989|juno|south|panel|39|pending
1494|ionic|north|sensor|86|shipped
2425|ionic|east|frame|41|pending
1502|acme|west|valve|85|pending
2302|harbor|east|frame|10|paid
1402|gale|south|pump|59|pending
1808|dorian|south|frame|38|held
1821|cobalt|south|cable|64|paid
1996|cobalt|north|pump|42|shipped
1471|acme|west|gasket|77|pending
1917|fulton|east|pump|30|shipped
2098|cobalt|north|sensor|55|held
2292|acme|west|gasket|96|paid
1676|acme|west|valve|34|shipped
2033|fulton|south|sensor|97|paid
1678|cobalt|east|panel|72|held
1381|gale|west|valve|10|pending
2305|ionic|north|cable|19|shipped
2019|harbor|south|pump|57|pending
1725|ember|west|panel|96|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 45, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1381}},
{"tool": "cancel_order", "args": {"order_id": 1396}},
{"tool": "restock", "args": {"item": "frame", "qty": 90}},
{"tool": "restock", "args": {"item": "rotor", "qty": 60}},
{"tool": "restock", "args": {"item": "frame", "qty": 61}}
]wrongagentic.tools.triage-v1conf 100% · 710ms · $0.006 · 1521 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:
- data → tanaka
- payments → okafor
- infra → silva
INCIDENTS:
1. "records missing after import" (category: data, priority 8)
2. "records missing after import" (category: data, priority 8)
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:
(none extracted)wrongagentic.tools.ledger-v1conf — · 430ms · $0.002 · 472 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: $797
- alpha: $513
- echo: $371
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $571 from "lima" to "echo"
2. pay $167 from "echo" to "alpha"
3. pay $353 from "lima" to "echo"
4. pay $504 from "echo" to "alpha"
5. pay $420 from "echo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.context-load-v1anchorconf 100% · 121ms · $0.026 · 6672 tok
model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}}
]wrongagentic.tools.deploy-v1conf 100% · 1.1s · $0.003 · 643 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: reports
- billing: gateway, search
- gateway: search
- reports: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 122ms · $0.004 · 975 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: $208
- bravo: $716
- lima: $518
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $317 from "bravo" to "tango"
2. pay $507 from "bravo" to "lima"
3. pay $428 from "tango" to "lima"
4. pay $153 from "bravo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 317}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 108}},
{"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 507}},
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 428}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 153}},
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 153}}
]wrongagentic.tools.triage-v1anchorconf 100% · 230ms · $0.008 · 2037 tok
model answer:
(none extracted)wrongagentic.tools.triage-v1conf 100% · 640ms · $0.003 · 866 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:
- data → novak
- infra → tanaka
- payments → chen
INCIDENTS:
1. "export file corrupted" (category: data, priority 5)
2. "export file corrupted" (category: data, priority 5)
3. "card declined at checkout" (category: payments, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.deploy-v1anchorconf 100% · 535ms · $0.002 · 575 tok
model answer:
(none extracted)correctagentic.tools.ledger-v1anchorconf 100% · 344ms · $0.004 · 1065 tok
model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]code 30/30 correct
correctcode.trace.nested-v1conf 100% · 959ms · $0.013 · 3471 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 == 5 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
682correctcode.trace.nested-v1conf 100% · 1.1s · $0.009 · 2531 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, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
357correctcode.trace.js-v1conf 100% · 117ms · $0.001 · 307 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 2) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
56correctcode.trace.python-v1conf 100% · 669ms · $0.003 · 910 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 7
while total + v <= 102:
if v % 4 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
91correctcode.trace.js-v1conf 100% · 114ms · $0.003 · 733 tok
question
What does this JavaScript program log? ```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:
135correctcode.trace.python-v1conf 100% · 668ms · $0.003 · 818 tok
question
What does this Python program print?
```python
total = 0
v = 8
while total + v <= 81:
if v % 4 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
66correctcode.trace.js-v1conf 100% · 392ms · $0.003 · 775 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 6) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
528correctcode.trace.nested-v1conf 100% · 240ms · $0.011 · 2902 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, 6):
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:
320correctcode.trace.python-v1conf 100% · 186ms · $0.009 · 2542 tok
question
What does this Python program print?
```python
total = 0
v = 12
while total + v <= 119:
if v % 7 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.nested-v1conf 100% · 205ms · $0.009 · 2491 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
104correctcode.trace.js-v1conf 100% · 317ms · $0.004 · 1033 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]; const out = arr .map(n => n * 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:
744correctcode.trace.python-v1conf 100% · 1.3s · $0.001 · 377 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 15
while total + v <= 34:
if v % 5 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
22correctcode.trace.nested-v1conf 100% · 137ms · $0.007 · 1898 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, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
115correctcode.trace.js-v1conf 100% · 384ms · $0.002 · 509 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; 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:
180correctcode.trace.python-v1conf 100% · 137ms · $0.004 · 1208 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 15
while total + v <= 69:
if v % 5 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
57correctcode.trace.js-v1conf 100% · 1.1s · $0.001 · 241 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 2) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30correctcode.trace.nested-v1conf 100% · 230ms · $0.008 · 2109 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 == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
152correctcode.trace.nested-v1conf 100% · 242ms · $0.015 · 4276 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 == 6 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
560correctcode.trace.python-v1conf 100% · 199ms · $0.004 · 1127 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 5
while total + v <= 79:
if v % 7 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
56correctcode.trace.js-v1conf 100% · 246ms · $0.002 · 427 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 5) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90correctcode.trace.python-v1conf 100% · 482ms · $0.002 · 442 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 11
while total + v <= 58:
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:
36correctcode.trace.nested-v1conf 100% · 463ms · $0.008 · 2125 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 == 6 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:
134correctcode.trace.js-v1conf 100% · 438ms · $0.002 · 407 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; 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:
210correctcode.trace.nested-v1conf 100% · 718ms · $0.007 · 1831 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
171correctcode.trace.python-v1conf 100% · 720ms · $0.004 · 976 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 6
while total + v <= 70:
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:
56correctcode.trace.js-v1conf 100% · 114ms · $0.002 · 408 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 7) .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:
168correctcode.trace.python-v1anchorconf 100% · 119ms · $0.003 · 914 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 413ms · $0.011 · 3124 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 106ms · $0.002 · 494 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 632ms · $0.002 · 625 tok
model answer:
40instruction following 29/30 correct
correctif.constraints.stack-v1conf 100% · 333ms · $0.010 · 2660 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "quartz" and the last word must be "zephyr". 3. Use the word "drift" 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 old machine drift whirs softly drift through time and space drift echoes silently forever zephyrcorrectif.constraints.stack-v1conf 100% · 310ms · $0.010 · 2825 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "orbit" and the last word must be "comet". 3. Use the word "drift" 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:
orbit gentle waves drift across calm sea drift horizon endless blue luminous serene vast open sky soft glow night cometcorrectif.format.acronym-v1conf 100% · 2.1s · $0.001 · 144 tok
question
Take the first letter of each of these words, in order: quartz, lumen, tundra, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QLTEcorrectif.format.repeat-v1conf 100% · 223ms · $0.004 · 1040 tok
question
Write the word "ember" in capitalized form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ember_Ember_Ember_Ember_Ember_Ember_Embercorrectif.constraints.stack-v1conf 100% · 148ms · $0.010 · 2709 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 "cedar" and the last word must be "lumen". 3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cedar night whispers nova stars glow softly nova shadows dance gently nova moonlit calm lumencorrectif.constraints.stack-v1conf 100% · 361ms · $0.014 · 3865 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "falcon" 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:
falcon midnight city lights glow flint avenues whisper softly shadows dance flint moon stars shine calm night peace embercorrectif.format.acronym-v1conf 100% · 471ms · $0.001 · 342 tok
question
Take the third letter of each of these words, in order: ember, prism, falcon, basalt, flint, tundra. 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:
BILSINcorrectif.format.repeat-v1conf 100% · 495ms · $0.004 · 958 tok
question
Write the word "zephyr" in uppercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZEPHYR/ZEPHYR/ZEPHYRcorrectif.constraints.stack-v1conf 100% · 151ms · $0.017 · 4683 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "nova" 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:
nova tide whispers across endless blue horizon flint glimmers beneath calm waves flint echoes deep silence soft gentle ancient mystic serene eternal quartzcorrectif.format.acronym-v1conf 100% · 165ms · $0.001 · 151 tok
question
Take the third letter of each of these words, in order: tundra, comet, falcon, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NMLScorrectif.format.repeat-v1conf 100% · 1.4s · $0.002 · 523 tok
question
Write the word "echo" in uppercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.repeat-v1conf 100% · 849ms · $0.002 · 650 tok
question
Write the word "ember" 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:
ember/ember/ember/ember/ember/embercorrectif.format.acronym-v1conf 100% · 684ms · $0.001 · 331 tok
question
Take the third letter of each of these words, in order: delta, cedar, echo, prism, flint, zephyr. 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:
LDHIIPcorrectif.format.acronym-v1conf 100% · 492ms · $0.001 · 150 tok
question
Take the first letter of each of these words, in order: quartz, lumen, falcon, zephyr, tundra. 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:
QLFZTcorrectif.constraints.stack-v1conf 100% · 355ms · $0.011 · 2923 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "quartz" and the last word must be "zephyr". 3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "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 ancient falcon rusted gears turn slowly through time falcon silent night glow soft zephyrcorrectif.format.repeat-v1conf 100% · 195ms · $0.004 · 970 tok
question
Write the word "falcon" 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:
falcon/falcon/falcon/falcontruncatedif.constraints.stack-v1conf — · 323ms · $0.059 · 16384 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "nova" and the last word must be "basalt". 3. Use the word "cedar" 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:
(none extracted)correctif.format.acronym-v1conf 100% · 183ms · $0.001 · 393 tok
question
Take the first letter of each of these words, in order: flint, comet, drift, tundra, falcon, 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:
FCDTFPcorrectif.format.repeat-v1conf 100% · 198ms · $0.003 · 747 tok
question
Write the word "lumen" in uppercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LUMEN_LUMEN_LUMENcorrectif.constraints.stack-v1conf 100% · 224ms · $0.010 · 2766 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "prism" and the last word must be "basalt". 3. Use the word "lumen" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism tide lumen glows bright horizon lumen sings deep calm waves crash softly lumen under moonlit sky basaltcorrectif.format.repeat-v1conf 100% · 1.1s · $0.003 · 827 tok
question
Write the word "echo" in uppercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ECHO-ECHO-ECHOcorrectif.format.acronym-v1conf 100% · 1.1s · $0.001 · 322 tok
question
Take the third letter of each of these words, in order: prism, comet, nova, tundra, flint, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
IMVNIMcorrectif.constraints.stack-v1conf 100% · 451ms · $0.008 · 2197 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "flint" and the last word must be "comet". 3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint city night glows softly under silver moon zephyr whispers through still air dreams rise stars dance along empty streets gentle hush zephyr cometcorrectif.format.acronym-v1conf 100% · 753ms · $0.001 · 347 tok
question
Take the first letter of each of these words, in order: comet, falcon, basalt, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CFBQcorrectif.format.repeat-v1conf 100% · 511ms · $0.003 · 903 tok
question
Write the word "quartz" in uppercase form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZcorrectif.constraints.stack-v1anchorconf 100% · 138ms · $0.010 · 2849 tok
model answer:
drift city night glows lumen softly under moon lumen stars whisper lumen shadows dance gentle silent cool air flows through ancient streets forever orbitcorrectif.format.repeat-v1anchorconf 100% · 671ms · $0.002 · 461 tok
model answer:
Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echocorrectif.format.acronym-v1conf 100% · 386ms · $0.001 · 358 tok
question
Take the third letter of each of these words, in order: nova, prism, flint, drift, cedar, tundra. 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:
VIIIDNcorrectif.format.repeat-v1anchorconf 100% · 121ms · $0.003 · 678 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 1.2s · $0.000 · 117 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 232 tok
question
Identify 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:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 345ms · $0.001 · 214 tok
question
Identify the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 265ms · $0.001 · 214 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:
Berncorrectknowledge.fr.factbank-v2conf 100% · 292ms · $0.001 · 174 tok
question
Identify the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 128ms · $0.003 · 748 tok
question
What is the element whose symbol is W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 99% · 1.0s · $0.001 · 271 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 300ms · $0.001 · 193 tok
question
Name the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 135ms · $0.001 · 385 tok
question
Identify the chemical element with symbol W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 141ms · $0.001 · 397 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 211ms · $0.003 · 802 tok
question
What is the author of "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 187ms · $0.001 · 187 tok
question
Name the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 186ms · $0.002 · 621 tok
question
What is the writer of the novel "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 112ms · $0.002 · 634 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 648ms · $0.001 · 247 tok
question
Name the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 525ms · $0.001 · 249 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:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 185ms · $0.001 · 281 tok
question
Identify the Nigerian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 3.8s · $0.001 · 255 tok
question
Name the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 211ms · $0.002 · 592 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:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 489ms · $0.001 · 333 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 731ms · $0.001 · 173 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:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.001 · 203 tok
question
Name 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:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 1.0s · $0.001 · 339 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:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 535ms · $0.001 · 259 tok
question
Identify the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 188ms · $0.003 · 709 tok
question
What is the author of "Things Fall Apart"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 492ms · $0.001 · 180 tok
question
Name the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2anchorconf 100% · 985ms · $0.001 · 182 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 314ms · $0.001 · 213 tok
question
Identify the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2anchorconf 100% · 554ms · $0.003 · 781 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 152ms · $0.001 · 203 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 687ms · $0.001 · 245 tok
model answer:
Leadmath 30/30 correct
correctmath.percent.chain-v2conf 95% · 122ms · $0.008 · 2285 tok
question
An inventory starts at 78000 units. A rival firm shipped 136 unrelated parcels the same week. In the first month the inventory grows by 27%. Each pallet weighs about 90 grams more when wet. The next month it shrinks by 12%, and the month after it grows by 42%. 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:
123785.38correctmath.chained.pipeline-v1conf 100% · 114ms · $0.002 · 472 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 81 × 86. Step 2: Q = P × 4 − 259. 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:
3455correctmath.counterfactual.base-v1conf 100% · 322ms · $0.008 · 2134 tok
question
Work strictly in base 7. Multiply the base-7 numbers 111 and 105. 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:
11655correctmath.chained.pipeline-v1conf 100% · 227ms · $0.002 · 393 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 48 × 73. Step 2: Q = P × 3 − 439. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3359correctmath.algebra.system-v2conf 100% · 344ms · $0.002 · 581 tok
question
Solve the system, then answer the derived question. 5x + 7y = 223 5x − 5y = -185 What is the value of 5x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-151correctmath.arith.chain-v2conf 100% · 458ms · $0.003 · 721 tok
question
Calculate the following. Show your reasoning, then answer. (((47 × 91 − 923) × 7 + 7850) − 49 × 43) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
87663correctmath.percent.chain-v2conf 100% · 117ms · $0.003 · 805 tok
question
An inventory starts at 75000 units. The company was founded 145 kilometers from the port. In the first month the inventory grows by 35%. The delivery van has a 27-liter fuel tank. The next month it shrinks by 41%, and the month after it grows by 16%. 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:
69295.5correctmath.counterfactual.base-v1conf 100% · 390ms · $0.002 · 594 tok
question
Work strictly in base 8. Add the base-8 numbers 1620 and 4143. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
5763correctmath.counterfactual.base-v1conf 100% · 119ms · $0.003 · 724 tok
question
Work strictly in base 8. Add the base-8 numbers 2464 and 5437. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
10123correctmath.arith.chain-v2conf 100% · 161ms · $0.002 · 477 tok
question
Compute the value of the following expression. (((44 × 77 − 248) × 3 + 7681) − 73 × 30) × 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:
59644correctmath.algebra.system-v2conf 100% · 299ms · $0.001 · 342 tok
question
Solve the system, then answer the derived question. 5x + 2y = 25 4x − 7y = -281 What is the value of 6x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-264correctmath.chained.pipeline-v1conf 100% · 170ms · $0.001 · 392 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 55 × 33. Step 2: Q = P × 4 − 136. 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:
1781correctmath.percent.chain-v2conf 100% · 196ms · $0.005 · 1327 tok
question
An inventory starts at 25000 units. A rival firm shipped 98 unrelated parcels the same week. In the first month the inventory grows by 9%. The delivery van has a 9-liter fuel tank. The next month it shrinks by 6%, and the month after it grows by 37%. 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:
35092.55correctmath.algebra.system-v2conf 100% · 916ms · $0.002 · 426 tok
question
Solve the system, then answer the derived question. 5x + 8y = 232 3x − 6y = -120 What is the value of 4x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-64correctmath.counterfactual.base-v1conf 100% · 128ms · $0.004 · 1133 tok
question
Work strictly in base 7. Multiply the base-7 numbers 104 and 60. 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:
6330correctmath.arith.chain-v2conf 100% · 931ms · $0.002 · 618 tok
question
Calculate the following. Show your reasoning, then answer. (((37 × 28 − 265) × 3 + 1229) − 96 × 64) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-5204correctmath.percent.chain-v2conf 100% · 146ms · $0.004 · 1214 tok
question
An inventory starts at 96000 units. A rival firm shipped 108 unrelated parcels the same week. In the first month the inventory grows by 40%. A rival firm shipped 152 unrelated parcels the same week. The next month it shrinks by 18%, 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:
143270.4correctmath.chained.pipeline-v1conf 100% · 185ms · $0.002 · 420 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 24 × 62. Step 2: Q = P × 9 − 297. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
4365correctmath.arith.chain-v2conf 100% · 666ms · $0.002 · 673 tok
question
Calculate the following. Show your reasoning, then answer. (((78 × 27 − 580) × 6 + 6011) − 15 × 88) × 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:
55388correctmath.algebra.system-v2conf 100% · 380ms · $0.001 · 290 tok
question
Solve the system, then answer the derived question. 3x + 8y = 209 8x − 8y = -88 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:
-66correctmath.counterfactual.base-v1conf 100% · 902ms · $0.005 · 1411 tok
question
Work strictly in base 11. Multiply the base-11 numbers 44 and 76. 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:
2AA2correctmath.chained.pipeline-v1conf 100% · 602ms · $0.001 · 368 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 58 × 29. Step 2: Q = P × 7 − 411. 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:
2275correctmath.percent.chain-v2conf 100% · 928ms · $0.002 · 593 tok
question
An inventory starts at 47000 units. The company was founded 19 kilometers from the port. In the first month the inventory grows by 5%. The delivery van has a 123-liter fuel tank. The next month it shrinks by 16%, and the month after it grows by 33%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
55133.82correctmath.counterfactual.base-v1anchorconf 100% · 152ms · $0.004 · 984 tok
model answer:
11236correctmath.algebra.system-v2conf 100% · 628ms · $0.001 · 348 tok
question
Solve the system, then answer the derived question. 3x + 2y = 95 5x − 8y = -193 What is the value of 3x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-60correctmath.arith.chain-v2conf 100% · 116ms · $0.002 · 451 tok
question
Compute the value of the following expression. (((57 × 81 − 710) × 7 + 1862) − 78 × 70) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
71253correctmath.chained.pipeline-v1conf 100% · 222ms · $0.001 · 297 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 16 × 36. Step 2: Q = P × 4 − 792. 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:
216correctmath.percent.chain-v2anchorconf 95% · 228ms · $0.009 · 2424 tok
model answer:
61896.522correctmath.arith.chain-v2anchorconf 100% · 511ms · $0.002 · 599 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 233ms · $0.001 · 392 tok
model answer:
87multilingual 30/30 correct
correctmultilingual.numword-v2conf 100% · 267ms · $0.004 · 1063 tok
question
Compute 258 + 259, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent dix-septcorrectmultilingual.wordnum-v1conf 100% · 327ms · $0.001 · 372 tok
question
A number is written in French: « sept cent cinquante-quatre ». Another is written in Spanish: « ochocientos treinta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-85correctmultilingual.numword-v2conf 100% · 531ms · $0.006 · 1748 tok
question
Compute 369 + 240, 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 nuevecorrectmultilingual.wordnum-v1conf 100% · 650ms · $0.001 · 358 tok
question
A number is written in French: « neuf cent quarante-deux ». Another is written in Spanish: « novecientos 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:
1890correctmultilingual.wordnum-v1conf 100% · 205ms · $0.001 · 302 tok
question
A number is written in French: « huit cent onze ». Another is written in Spanish: « seiscientos treinta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
179correctmultilingual.numword-v2conf 100% · 648ms · $0.003 · 757 tok
question
Compute 288 + 151, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent trente-neufcorrectmultilingual.numword-v2conf 100% · 697ms · $0.002 · 528 tok
question
Compute 496 + 95, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos noventa y unocorrectmultilingual.wordnum-v1conf 100% · 812ms · $0.001 · 339 tok
question
A number is written in French: « huit cent quarante-quatre ». Another is written in Spanish: « cuatrocientos veintidós ». 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:
1266correctmultilingual.wordnum-v1conf 100% · 185ms · $0.001 · 351 tok
question
A number is written in French: « neuf cent trente-neuf ». Another is written in Spanish: « doscientos veintinueve ». 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:
1168correctmultilingual.numword-v2conf 100% · 334ms · $0.001 · 363 tok
question
Compute 342 + 104, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos cuarenta y seiscorrectmultilingual.wordnum-v1conf 100% · 479ms · $0.001 · 359 tok
question
A number is written in French: « huit cent quatre-vingt-trois ». Another is written in Spanish: « cuatrocientos doce ». 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:
471correctmultilingual.numword-v2conf 100% · 309ms · $0.002 · 549 tok
question
Compute 362 + 64, 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 veintiséiscorrectmultilingual.numword-v2conf 100% · 178ms · $0.007 · 1964 tok
question
Compute 148 + 455, 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 trescorrectmultilingual.wordnum-v1conf 100% · 188ms · $0.001 · 141 tok
question
A number is written in French: « cent vingt-six ». Another is written in Spanish: « novecientos treinta ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-804correctmultilingual.numword-v2conf 100% · 624ms · $0.004 · 1226 tok
question
Compute 186 + 343, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent vingt-neufcorrectmultilingual.wordnum-v1conf 100% · 345ms · $0.001 · 311 tok
question
A number is written in French: « sept cent onze ». Another is written in Spanish: « ochocientos sesenta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-153correctmultilingual.wordnum-v1conf 100% · 839ms · $0.002 · 510 tok
question
A number is written in French: « sept cent dix-neuf ». Another is written in Spanish: « novecientos noventa y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-273correctmultilingual.numword-v2conf 100% · 537ms · $0.004 · 1211 tok
question
Compute 215 + 346, 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 sesenta y unocorrectmultilingual.wordnum-v1conf 100% · 810ms · $0.001 · 211 tok
question
A number is written in French: « quatre cent huit ». Another is written in Spanish: « seiscientos cincuenta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-249correctmultilingual.numword-v2conf 100% · 182ms · $0.002 · 481 tok
question
Compute 392 + 100, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos noventa y doscorrectmultilingual.wordnum-v1conf 100% · 796ms · $0.001 · 318 tok
question
A number is written in French: « six cent quarante-deux ». Another is written in Spanish: « trescientos nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
951correctmultilingual.numword-v2conf 100% · 252ms · $0.005 · 1436 tok
question
Compute 133 + 150, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos ochenta y trescorrectmultilingual.wordnum-v1conf 100% · 229ms · $0.002 · 486 tok
question
A number is written in French: « six cent quatre-vingt-dix-sept ». Another is written in Spanish: « novecientos 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:
-206correctmultilingual.numword-v2conf 100% · 112ms · $0.003 · 920 tok
question
Compute 445 + 251, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent quatre-vingt-seizecorrectmultilingual.numword-v2conf 100% · 333ms · $0.002 · 595 tok
question
Compute 461 + 274, 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 trente-cinqcorrectmultilingual.wordnum-v1conf 100% · 389ms · $0.002 · 419 tok
question
A number is written in French: « cinq cent trente-trois ». Another is written in Spanish: « seiscientos cuarenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-109correctmultilingual.wordnum-v1anchorconf 100% · 132ms · $0.001 · 262 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 170ms · $0.003 · 757 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.numword-v2anchorconf 100% · 465ms · $0.005 · 1281 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 999ms · $0.002 · 453 tok
model answer:
762reasoning 29/30 correct
wrongreasoning.deduction.position-v1conf 80% · 2.3s · $0.054 · 14914 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 3 in the queue. Tessa is directly ahead of Chen. Chen is directly ahead of Rosa. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
The fourth personcorrectreasoning.deduction.order-v2conf 100% · 863ms · $0.005 · 1233 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Emil is faster than Jonas. Sami is faster than Chen. Emil is faster than Quinn. Jonas is faster than Tessa. Chen is faster than Emil. Tessa is faster than Liam. Emil is faster than Jonas. Sami is faster than Liam. Ola is older than everyone here, but Ola is not being ranked. Quinn is faster than Jonas. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 621ms · $0.002 · 482 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Mona. Goran is directly ahead of Quinn. Nadir is number 1 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.position-v1conf 100% · 129ms · $0.002 · 487 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Farah. Farah is number 4 in the queue. Liam is directly ahead of Ines. Nadir 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 324ms · $0.004 · 1095 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Goran is heavier than Ola. Ines is heavier than Bruno. Quinn is taller than everyone here, but Quinn is not being ranked. Liam is heavier than Bruno. Jonas is heavier than Nadir. Bruno is heavier than Nadir. Liam is heavier than Ola. Goran is heavier than Liam. Ola is heavier than Ines. Bruno is heavier than Jonas. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Inescorrectreasoning.deduction.order-v2conf 100% · 130ms · $0.007 · 1955 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Priya. Liam is taller than everyone here, but Liam is not being ranked. Mona is older than Rosa. Chen is older than Ola. Emil is older than Dara. Priya is older than Rosa. Chen is older than Rosa. Ola is older than Mona. Dara is older than Chen. Mona is older than Priya. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Daracorrectreasoning.deduction.order-v2conf 100% · 171ms · $0.004 · 985 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Mona is taller than Priya. Rosa is taller than Kira. Bruno is taller than Priya. Goran is taller than Rosa. Kira is taller than Mona. Bruno is taller than Sami. Nadir is heavier than everyone here, but Nadir is not being ranked. Priya is taller than Sami. Mona is taller than Bruno. Mona is taller than Sami. 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:
Rosacorrectreasoning.deduction.position-v1conf 100% · 196ms · $0.004 · 983 tok
question
Four people stand in a queue (number 1 is the front). Priya is number 3 in the queue. Dara is directly ahead of Priya. Ola is directly ahead of Dara. 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 324ms · $0.006 · 1520 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Tessa. Ola is number 3 in the queue. Tessa 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:
Olacorrectreasoning.deduction.order-v2conf 100% · 370ms · $0.003 · 779 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Chen. Chen is heavier than Farah. Priya is heavier than Farah. Priya is heavier than Farah. Tessa is heavier than Nadir. Nadir is heavier than Emil. Jonas is heavier than Priya. Emil is heavier than Jonas. Dara is faster than everyone here, but Dara is not being ranked. Nadir is heavier than Farah. 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:
Jonascorrectreasoning.deduction.order-v2conf 100% · 788ms · $0.003 · 879 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Dara. Emil is older than Chen. Nadir is older than Kira. Hana is older than Chen. Emil is older than Hana. Bruno is taller than everyone here, but Bruno is not being ranked. Hana is older than Nadir. Kira is older than Chen. Chen is older than Dara. Alice is older than Emil. 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:
Hanacorrectreasoning.deduction.position-v1conf 100% · 1.2s · $0.001 · 313 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Hana. Dara is directly ahead of Tessa. Chen is number 1 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:
Hanacorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.004 · 1106 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is heavier than everyone here, but Dara is not being ranked. Jonas is faster than Chen. Ola is faster than Jonas. Kira is faster than Farah. Jonas is faster than Farah. Chen is faster than Alice. Goran is faster than Farah. Farah is faster than Alice. Chen is faster than Goran. Kira is faster than Ola. 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:
Chencorrectreasoning.deduction.position-v1conf 100% · 314ms · $0.002 · 649 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Alice. Goran is number 1 in the queue. Alice is directly ahead of Tessa. 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:
Tessacorrectreasoning.deduction.order-v2conf 100% · 320ms · $0.004 · 1075 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is taller than Ines. Quinn is taller than Rosa. Jonas is taller than Dara. Ines is taller than Jonas. Emil is heavier than everyone here, but Emil is not being ranked. Farah is taller than Jonas. Farah is taller than Dara. Farah is taller than Dara. Rosa is taller than Goran. Ines is taller than Farah. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.position-v1conf 100% · 340ms · $0.001 · 234 tok
question
Four people stand in a queue (number 1 is the front). Alice is number 4 in the queue. Hana is directly ahead of Ines. Ines is directly ahead of Alice. Kira is directly ahead of Hana. 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:
Kiracorrectreasoning.deduction.position-v1conf 100% · 350ms · $0.001 · 388 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Goran. Liam is number 1 in the queue. Chen is directly ahead of Emil. 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:
Chencorrectreasoning.deduction.order-v2conf 100% · 353ms · $0.003 · 900 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Nadir is older than Ola. Ola is older than Rosa. Priya is older than Nadir. Quinn is older than Alice. Alice is older than Priya. Alice is older than Nadir. Nadir is older than Rosa. Bruno is older than Quinn. Sami is heavier than everyone here, but Sami is not being ranked. Priya is older than Rosa. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 100% · 202ms · $0.001 · 302 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Emil. Liam is number 2 in the queue. Rosa is directly ahead of Liam. 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 394ms · $0.003 · 821 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Sami is taller than Jonas. Goran is taller than Kira. Chen is faster than everyone here, but Chen is not being ranked. Jonas is taller than Goran. Kira is taller than Tessa. Priya is taller than Sami. Ola is taller than Jonas. Goran is taller than Tessa. Jonas is taller than Tessa. Sami is taller than Ola. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1conf 100% · 248ms · $0.003 · 799 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Dara. Mona is directly ahead of Hana. Dara is number 2 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:
Daracorrectreasoning.deduction.order-v2conf 100% · 241ms · $0.004 · 1126 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is taller than everyone here, but Alice is not being ranked. Sami is heavier than Goran. Nadir is heavier than Kira. Goran is heavier than Nadir. Hana is heavier than Ines. Ines is heavier than Goran. Ines is heavier than Sami. Goran is heavier than Kira. Ines is heavier than Kira. Kira is heavier than Chen. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 100% · 171ms · $0.006 · 1673 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Liam is taller than Mona. Liam is taller than Kira. Emil is faster than everyone here, but Emil is not being ranked. Ines is taller than Bruno. Mona is taller than Ola. Bruno is taller than Liam. Ines is taller than Ola. Farah is taller than Mona. Kira is taller than Ola. Kira is taller 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:
Farahcorrectreasoning.deduction.position-v1conf 100% · 355ms · $0.001 · 369 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Sami. Rosa is directly ahead of Mona. Chen is number 1 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:
Chencorrectreasoning.deduction.order-v2conf 100% · 1.7s · $0.004 · 1181 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ola is older than Bruno. Bruno is older than Goran. Quinn is older than Ola. Rosa is older than Ola. Rosa is older than Goran. Quinn is older than Nadir. Bruno is older than Jonas. Sami is faster than everyone here, but Sami is not being ranked. Nadir is older than Rosa. Jonas is older than Goran. 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:
Brunocorrectreasoning.deduction.position-v1conf 100% · 135ms · $0.001 · 284 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Alice. Alice is directly ahead of Sami. Sami is number 3 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.order-v2anchorconf 100% · 129ms · $0.005 · 1230 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 354ms · $0.001 · 321 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 316ms · $0.005 · 1252 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 1.3s · $0.002 · 435 tok
model answer:
Farahterminal 25/30 correct
correctterminal.exit.chain-v1conf 100% · 308ms · $0.004 · 1159 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B test -f tmp.txt && echo C || echo D test -f app.txt && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
H
exit:1correctterminal.fs.tree-v1conf 100% · 790ms · $0.004 · 1198 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/docs`, `/proj/src`): ``` /proj/docs/draft.md /proj/docs/todo.log /proj/docs/util.log /proj/notes.txt /proj/setup.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm docs/todo.log cp setup.md docs/ cd . rm setup.md rm notes.txt touch todo-1.log cd . rm docs/setup.md mv docs/draft.md docs/todo-8.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/todo-8.log
/proj/docs/util.log
/proj/todo-1.logwrongterminal.pipeline.predict-v1conf 100% · 295ms · $0.002 · 619 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` pam,legal,97,20 gus,legal,18,72 hal,hr,118,53 jon,ops,43,30 dev,sales,18,94 kim,eng,24,93 lou,legal,66,15 ana,legal,88,78 bo,sales,46,12 fay,ops,32,90 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 535ms · $0.006 · 1494 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 basil notes.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
exit:1correctterminal.fs.tree-v1conf 100% · 496ms · $0.007 · 1886 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/assets`): ``` /proj/conf/notes.cfg /proj/setup.txt /proj/src/main.cfg /proj/src/report.md /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm util.md cd conf rm ../../proj/src/main.cfg touch notes-5.cfg mv notes.cfg main-4.md cd ../../proj/assets rm ../../proj/conf/main-4.md touch util-4.log mkdir -p ../../proj/assets-8 cd ../../proj/conf touch ../../proj/assets/index-5.log cd ../../proj/assets ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/index-5.log
/proj/assets/util-4.log
/proj/conf/notes-5.cfg
/proj/setup.txt
/proj/src/report.mdcorrectterminal.exit.chain-v1conf 100% · 687ms · $0.005 · 1407 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D test -f ghost.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
exit:1correctterminal.fs.tree-v1conf 100% · 793ms · $0.004 · 1124 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/draft.cfg /proj/logs/setup.txt /proj/report.md /proj/src/main.md /proj/src/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm src/todo.md rm draft.cfg cd logs touch draft-6.cfg touch draft-1.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/logs/draft-1.txt
/proj/logs/draft-6.cfg
/proj/logs/setup.txt
/proj/report.md
/proj/src/main.mdcorrectterminal.pipeline.predict-v1conf 100% · 482ms · $0.003 · 818 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
pam,sales,51,77
fay,hr,11,82
dev,hr,87,52
cy,legal,73,11
kim,hr,54,55
eli,legal,18,63
ivy,eng,119,75
lou,sales,108,22
jon,ops,44,13
max,sales,50,56
hal,sales,68,57
bo,ops,103,50
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 64 { 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:
1correctterminal.fs.tree-v1conf 100% · 985ms · $0.011 · 2975 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/docs`, `/proj/src`): ``` /proj/conf/main.txt /proj/conf/setup.cfg /proj/docs/util.md /proj/notes.md /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm notes.md cd docs touch ../../proj/todo-6.md cp ../../proj/todo.log ./ mv util.md ../../proj/src/ mv ../../proj/todo-6.md ../../proj/notes-3.txt mv ../../proj/conf/setup.cfg ../../proj/conf/report-9.md cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/main.txt
/proj/conf/report-9.md
/proj/docs/todo.log
/proj/notes-3.txt
/proj/src/util.md
/proj/todo.logwrongterminal.pipeline.predict-v1conf 100% · 813ms · $0.003 · 799 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,sales,66,34 ana,eng,30,46 kim,ops,14,55 pam,hr,13,70 eli,hr,94,90 oli,ops,68,60 ned,legal,62,57 max,eng,8,69 bo,sales,46,90 lou,hr,120,49 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 1.3s · $0.006 · 1701 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f app.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F test -f app.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
G
exit:1correctterminal.exit.chain-v1conf 100% · 707ms · $0.006 · 1524 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` 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 true && echo A || echo B grep -q basil notes.txt && echo C || echo D false && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
Z
exit:0wrongterminal.pipeline.predict-v1conf 100% · 317ms · $0.005 · 1212 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` pam,ops,56,66 hal,eng,89,10 jon,ops,103,57 max,eng,62,66 cy,ops,24,22 eli,eng,33,38 oli,sales,119,74 lou,ops,42,34 ned,hr,66,46 dev,sales,19,81 bo,sales,17,50 gus,legal,43,35 kim,sales,118,31 ana,legal,117,18 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.fs.tree-v1conf 100% · 439ms · $0.009 · 2412 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/build`): ``` /proj/conf/main.txt /proj/conf/setup.txt /proj/draft.txt /proj/src/notes.cfg /proj/todo.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/report-1.log touch conf/setup-5.md mv todo.txt conf/ cd conf mv main.txt ../../proj/ rm report-1.log mkdir -p ../../proj/build/docs-7 cd . touch ../../proj/build/docs-7/util-3.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/docs-7/util-3.log
/proj/conf/setup-5.md
/proj/conf/setup.txt
/proj/conf/todo.txt
/proj/draft.txt
/proj/main.txt
/proj/src/notes.cfgwrongterminal.fs.tree-v1conf 100% · 1.8s · $0.013 · 3576 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/docs`, `/proj/logs`): ``` /proj/docs/draft.txt /proj/docs/setup.log /proj/logs/todo.log /proj/notes.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 docs/logs-8 rm report.cfg cd docs mv ../../proj/notes.md ../../proj/ touch util-2.cfg rm ../../proj/notes.md cp ../../proj/logs/todo.log ../../proj/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 1.1s · $0.004 · 1087 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 498ms · $0.004 · 1128 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,hr,20,60
kim,sales,16,58
ivy,hr,50,68
max,sales,30,89
cy,hr,70,43
oli,sales,36,47
dev,legal,39,47
gus,legal,36,74
eli,legal,45,58
jon,ops,38,14
ned,legal,111,74
bo,ops,64,13
fay,ops,47,51
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 46 { 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:
4correctterminal.fs.tree-v1conf 100% · 890ms · $0.011 · 2985 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/docs`, `/proj/build`): ``` /proj/conf/report.log /proj/docs/main.log /proj/docs/todo.log /proj/setup.txt /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv docs/todo.log docs/ cp setup.txt conf/ cd conf mv report.log setup-3.md mkdir -p ../../proj/src-2 cp ../../proj/util.log ../../proj/build/ cp ../../proj/docs/todo.log ./ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/util.log
/proj/conf/setup-3.md
/proj/conf/setup.txt
/proj/conf/todo.log
/proj/docs/main.log
/proj/docs/todo.log
/proj/setup.txt
/proj/util.logcorrectterminal.pipeline.predict-v1conf 100% · 406ms · $0.002 · 542 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
cy,legal,79,20
lou,hr,20,32
bo,hr,117,72
ivy,legal,72,80
hal,hr,27,85
fay,eng,88,77
gus,hr,72,95
kim,hr,80,78
eli,legal,88,27
max,sales,11,91
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' 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:
88correctterminal.exit.chain-v1conf 100% · 628ms · $0.004 · 1183 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 true && echo A || echo B test -f data.txt && echo C || echo D false && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 507ms · $0.002 · 483 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,legal,117,90
ivy,sales,8,59
hal,eng,83,73
kim,sales,114,56
cy,eng,117,79
dev,eng,3,53
gus,legal,59,92
eli,hr,16,68
pam,eng,58,11
ned,eng,72,54
fay,ops,4,47
jon,sales,19,35
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' 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:
16correctterminal.exit.chain-v1conf 100% · 301ms · $0.005 · 1373 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D test -f app.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
Z
exit:0correctterminal.fs.tree-v1conf 100% · 158ms · $0.007 · 1859 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/logs`): ``` /proj/conf/setup.log /proj/conf/todo.log /proj/draft.cfg /proj/src/main.txt /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp util.md src/ cd conf cp setup.log ../../proj/logs/ cd . mv ../../proj/draft.cfg ../../proj/logs/ mkdir -p ../../proj/src/conf-3 mv todo.log ./ cd ../../proj/src/conf-3 mkdir -p conf-6 cd ../../../proj/logs rm ../../proj/conf/todo.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/setup.log
/proj/logs/draft.cfg
/proj/logs/setup.log
/proj/src/main.txt
/proj/src/util.md
/proj/util.mdwrongterminal.fs.tree-v1conf 100% · 311ms · $0.009 · 2317 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/conf`, `/proj/docs`): ``` /proj/conf/main.txt /proj/docs/index.cfg /proj/docs/report.log /proj/draft.md /proj/notes.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf/logs-2 mkdir -p logs-8 mv conf/main.txt ./ cd logs rm ../../proj/draft.md cp ../../proj/docs/index.cfg ../../proj/ mkdir -p ../../proj/conf/build-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)correctterminal.pipeline.predict-v1conf 100% · 360ms · $0.005 · 1226 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
max,eng,73,33
hal,hr,14,69
oli,ops,26,25
gus,sales,110,43
cy,hr,22,87
eli,sales,62,54
lou,eng,53,51
ivy,hr,24,54
ned,sales,4,14
ana,hr,116,45
jon,sales,104,87
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' 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:
176correctterminal.exit.chain-v1conf 100% · 319ms · $0.004 · 1179 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` 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 grep -q coral notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
Z
exit:0correctterminal.pipeline.predict-v1anchorconf 100% · 367ms · $0.002 · 626 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 307ms · $0.006 · 1687 tok
model answer:
B
D
E
G
exit:1correctterminal.fs.tree-v1anchorconf 100% · 807ms · $0.008 · 2074 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.pipeline.predict-v1anchorconf 100% · 634ms · $0.004 · 962 tok
model answer:
1Run history
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