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MiniMax: MiniMax M2.7
minimax/minimax-m2.7 · minimax · context 204 800 · in $0.270/1M · out $1.08/1M
Global Index
760
95% CI [707–814] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| code | 872 [749–996] | 0.787 | 1.00 | 1.00 | 0.000 | 777ms | $2.34 | |
| instruction following | 842 [708–977] | 0.770 | 0.87 | 1.00 | 0.000 | 735ms | $2.03 | |
| knowledge | 723 [551–894] | 0.542 | 0.98 | 1.00 | 0.000 | 753ms | $1.23 | |
| math | 823 [664–983] | 0.719 | 0.95 | 1.00 | 0.000 | 813ms | $1.35 | |
| multilingual | 816 [650–981] | 0.698 | 0.98 | 1.00 | 0.000 | 768ms | $1.67 | |
| reasoning | 793 [647–939] | 0.712 | 0.98 | 0.97 | 0.038 | 729ms | $1.81 | |
| terminal | 454 [380–529] | 0.209 | 1.00 | 0.29 | 0.000 | 857ms | $3.02 |
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 26/30 correct
correctagentic.tools.context-load-v1conf 100% · 803ms · $0.011 · 9299 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (139 records, format: id|customer|region|item|qty|status):
```
1868|harbor|east|frame|61|held
1958|fulton|north|gasket|47|paid
1947|ionic|south|cable|81|shipped
1640|ember|east|sensor|21|held
1962|ionic|west|sensor|15|shipped
1768|fulton|south|cable|29|pending
1741|harbor|west|rotor|20|paid
1770|ionic|east|sensor|46|pending
1518|ember|east|gasket|89|shipped
1576|harbor|north|valve|68|held
2000|cobalt|west|pump|63|paid
1452|acme|south|pump|60|pending
1489|acme|east|sensor|31|paid
1787|juno|north|frame|17|paid
1629|ember|west|panel|69|held
1737|fulton|east|pump|62|pending
1914|acme|east|gasket|36|pending
1830|cobalt|north|valve|84|shipped
1435|acme|east|cable|87|pending
1701|harbor|south|panel|11|shipped
1921|ionic|south|rotor|24|pending
1992|acme|north|rotor|56|shipped
1909|harbor|south|frame|78|shipped
1851|birch|west|gasket|23|shipped
1913|ember|east|panel|60|pending
1594|ember|west|sensor|92|shipped
1784|birch|west|cable|40|pending
1566|birch|west|gasket|52|held
1462|acme|south|cable|61|pending
1590|birch|north|panel|17|pending
1497|harbor|west|rotor|79|pending
1538|ionic|south|panel|24|shipped
1646|harbor|west|sensor|12|held
1747|dorian|west|valve|77|held
1458|acme|east|sensor|28|held
1898|acme|north|frame|19|held
1607|acme|west|pump|55|shipped
1845|birch|south|panel|94|pending
1708|birch|north|valve|90|pending
1928|harbor|south|frame|40|held
1653|gale|south|gasket|87|held
1679|gale|west|gasket|26|shipped
1773|harbor|west|cable|61|shipped
1689|juno|east|valve|55|pending
1697|ember|east|cable|86|shipped
1570|cobalt|north|pump|28|held
1533|ionic|west|valve|54|pending
1465|acme|east|gasket|40|paid
2018|acme|west|panel|26|pending
1446|acme|east|panel|10|pending
1780|acme|south|frame|89|pending
1892|fulton|west|cable|36|held
1740|acme|east|frame|78|shipped
1832|ember|south|frame|99|held
1725|ember|south|cable|40|held
1605|dorian|north|valve|72|paid
1709|harbor|east|pump|35|held
1460|acme|east|panel|88|pending
1696|fulton|north|cable|41|paid
1899|cobalt|west|cable|42|shipped
1952|ember|south|cable|45|held
1477|acme|east|valve|50|shipped
1521|cobalt|north|rotor|85|paid
1761|gale|east|rotor|34|paid
1439|acme|west|cable|47|pending
1790|cobalt|west|gasket|98|paid
1545|gale|east|frame|26|pending
1626|gale|north|frame|78|pending
1971|ember|south|sensor|41|paid
1559|birch|north|cable|76|held
1999|ember|north|gasket|33|held
1856|dorian|north|rotor|42|pending
1754|juno|west|sensor|55|held
1554|ionic|north|frame|23|paid
1800|ember|west|frame|35|shipped
1731|cobalt|north|frame|81|pending
1503|juno|east|sensor|85|pending
1917|gale|west|pump|32|paid
1813|gale|north|sensor|29|held
1759|birch|west|sensor|67|paid
1548|ionic|west|pump|54|pending
1749|gale|west|pump|43|pending
1985|fulton|east|gasket|53|held
1673|cobalt|east|valve|60|paid
1526|acme|north|rotor|70|paid
1766|juno|west|sensor|17|paid
1485|acme|north|sensor|89|pending
1496|dorian|north|frame|97|held
1508|dorian|north|panel|75|paid
1584|dorian|east|rotor|90|shipped
1744|fulton|west|sensor|69|paid
1875|harbor|west|panel|12|shipped
1442|acme|east|rotor|85|paid
1964|dorian|west|pump|44|pending
1720|ionic|north|sensor|39|shipped
2011|birch|south|gasket|30|pending
1583|harbor|north|valve|81|shipped
1658|dorian|west|panel|22|pending
1885|ionic|north|sensor|36|pending
1470|acme|north|panel|81|pending
1807|juno|west|valve|10|held
1512|ionic|east|cable|25|paid
1598|birch|south|cable|26|pending
1715|birch|south|rotor|31|held
1480|acme|east|rotor|69|pending
1823|fulton|east|sensor|83|shipped
1467|acme|east|panel|23|pending
2025|cobalt|north|valve|77|held
1619|fulton|south|cable|72|pending
1970|cobalt|west|cable|86|paid
1866|cobalt|east|pump|46|pending
1814|dorian|north|valve|73|held
1634|fulton|north|frame|11|pending
1791|juno|west|gasket|22|held
1816|fulton|south|frame|41|shipped
1779|dorian|west|valve|15|paid
1819|juno|east|frame|97|held
1663|birch|south|sensor|73|paid
1491|acme|south|frame|98|held
1684|harbor|west|frame|18|pending
1612|fulton|north|sensor|62|shipped
1668|fulton|north|rotor|50|pending
1727|gale|west|frame|90|held
1978|ionic|east|pump|99|shipped
1880|birch|north|rotor|19|shipped
1575|birch|south|rotor|94|shipped
1635|ionic|north|rotor|42|paid
1939|harbor|west|frame|37|pending
1933|birch|east|gasket|76|pending
1836|ember|west|valve|40|pending
1902|juno|south|valve|32|paid
1946|harbor|east|gasket|35|shipped
1795|fulton|east|valve|63|held
1690|gale|south|rotor|69|shipped
1771|fulton|east|panel|88|shipped
1839|harbor|south|rotor|91|shipped
2004|dorian|east|cable|89|paid
1862|juno|east|cable|98|held
1667|juno|west|rotor|80|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 43, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"cable","qty":87}},
{"tool":"cancel_order","args":{"order_id":1446}},
{"tool":"restock","args":{"item":"panel","qty":88}},
{"tool":"cancel_order","args":{"order_id":1467}},
{"tool":"restock","args":{"item":"rotor","qty":69}},
{"tool":"cancel_order","args":{"order_id":1914}}
]correctagentic.tools.ledger-v1conf 100% · 772ms · $0.003 · 2353 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $690
- delta: $360
- oscar: $529
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $484 from "delta" to "oscar"
2. pay $148 from "bravo" to "oscar"
3. pay $299 from "bravo" to "oscar"
4. pay $435 from "bravo" to "delta"
5. pay $270 from "bravo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 124}},
{"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 484}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 148}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 299}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 192}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 435}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 270}},
{"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 270}}
]correctagentic.tools.context-load-v1conf 100% · 934ms · $0.009 · 7619 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 (192 records, format: id|customer|region|item|qty|status):
```
1244|ember|east|cable|51|shipped
1403|birch|west|sensor|17|shipped
1382|birch|south|pump|72|held
1523|acme|west|sensor|56|shipped
1512|acme|south|cable|70|paid
1699|fulton|south|gasket|53|paid
1029|gale|south|gasket|32|pending
1292|dorian|west|panel|64|paid
1610|dorian|north|sensor|63|pending
1069|birch|west|sensor|17|paid
1249|dorian|east|panel|20|paid
1674|juno|east|panel|22|held
1046|gale|south|valve|70|shipped
1082|acme|north|gasket|33|paid
1268|juno|east|panel|19|shipped
1202|cobalt|west|cable|62|pending
1138|ember|south|frame|38|paid
1252|gale|east|pump|24|held
1344|juno|south|gasket|18|held
1148|birch|north|sensor|46|pending
1432|birch|south|rotor|53|pending
1630|fulton|east|frame|66|held
1540|ionic|west|panel|75|pending
1294|birch|north|sensor|90|pending
1218|juno|west|sensor|83|held
1589|gale|south|pump|67|paid
1108|acme|west|gasket|27|pending
1449|cobalt|east|cable|81|paid
1166|fulton|east|rotor|14|held
1505|cobalt|north|sensor|67|held
1672|harbor|east|gasket|96|paid
1464|acme|south|rotor|32|paid
1334|birch|west|pump|49|shipped
1124|harbor|north|sensor|73|shipped
1195|cobalt|east|rotor|49|shipped
1339|dorian|west|panel|44|pending
1684|acme|west|valve|68|paid
1451|juno|north|pump|19|pending
1413|juno|west|gasket|38|held
1088|harbor|west|valve|26|held
1756|juno|south|gasket|62|shipped
1102|juno|west|pump|34|pending
1328|juno|east|gasket|71|paid
1096|ember|north|pump|96|paid
1409|harbor|south|valve|42|paid
1730|juno|north|valve|23|held
1473|harbor|north|pump|20|held
1063|gale|west|valve|62|paid
1644|dorian|north|sensor|21|shipped
1732|ember|east|valve|85|paid
1261|acme|east|sensor|99|paid
1458|juno|west|rotor|60|paid
1724|harbor|south|pump|68|held
1356|fulton|west|pump|90|pending
1008|gale|east|cable|73|pending
1479|juno|north|sensor|19|paid
1377|cobalt|east|panel|99|pending
1745|dorian|west|rotor|33|held
1305|cobalt|south|valve|53|held
1416|juno|south|pump|64|pending
1272|birch|west|gasket|45|shipped
1489|birch|west|gasket|82|pending
1073|ember|west|gasket|27|held
1321|birch|west|valve|97|held
1616|acme|east|frame|43|pending
1795|ionic|east|panel|29|pending
1454|ember|east|gasket|43|paid
1591|harbor|north|valve|86|paid
1710|harbor|east|valve|80|pending
1577|cobalt|west|rotor|62|paid
1719|birch|south|frame|49|held
1226|gale|west|frame|70|paid
1039|gale|south|panel|57|pending
1033|gale|north|pump|53|pending
1036|gale|south|pump|72|paid
1280|harbor|east|valve|97|pending
1530|ember|east|cable|76|paid
1078|ember|north|sensor|56|shipped
1569|ionic|south|valve|13|pending
1623|fulton|south|cable|17|paid
1649|fulton|north|panel|79|shipped
1256|harbor|north|cable|52|held
1056|gale|north|pump|13|pending
1425|gale|east|pump|60|shipped
1600|fulton|north|rotor|87|pending
1712|acme|east|gasket|93|pending
1057|gale|south|valve|70|held
1401|birch|south|gasket|72|shipped
1670|ember|north|valve|54|paid
1639|cobalt|south|panel|15|paid
1702|gale|west|panel|79|held
1519|ember|west|frame|93|pending
1238|birch|south|rotor|53|shipped
1155|cobalt|west|valve|51|held
1470|harbor|south|valve|70|paid
1395|gale|east|pump|81|held
1740|birch|east|frame|17|shipped
1785|dorian|east|valve|53|held
1312|ember|south|panel|30|shipped
1762|birch|west|valve|99|paid
1536|cobalt|east|sensor|78|paid
1176|acme|south|frame|54|shipped
1208|ember|west|valve|94|held
1647|dorian|south|sensor|40|paid
1161|ember|north|frame|83|held
1287|cobalt|east|sensor|12|held
1084|juno|north|gasket|25|shipped
1634|birch|east|cable|72|shipped
1579|gale|north|sensor|77|paid
1663|fulton|north|sensor|60|pending
1012|gale|south|valve|49|shipped
1735|juno|east|valve|92|paid
1495|dorian|west|rotor|27|shipped
1580|juno|west|gasket|11|shipped
1178|birch|south|frame|16|paid
1183|birch|north|sensor|60|pending
1080|dorian|north|pump|21|pending
1014|gale|south|gasket|44|pending
1308|juno|north|pump|38|paid
1679|birch|east|cable|82|held
1545|birch|north|rotor|12|shipped
1277|cobalt|west|valve|12|pending
1379|harbor|west|cable|11|paid
1093|ionic|north|pump|13|pending
1160|ionic|west|panel|49|held
1467|cobalt|west|valve|43|paid
1301|fulton|north|frame|82|pending
1005|gale|south|rotor|15|pending
1023|gale|south|frame|55|shipped
1233|ember|west|valve|17|held
1065|fulton|south|sensor|18|paid
1754|ember|west|panel|80|shipped
1701|gale|west|frame|17|paid
1229|fulton|north|gasket|14|pending
1147|fulton|west|frame|78|held
1118|ember|west|gasket|91|shipped
1365|harbor|north|cable|54|shipped
1608|harbor|east|gasket|75|held
1692|gale|north|rotor|23|shipped
1773|dorian|south|cable|52|paid
1583|acme|east|pump|93|held
1494|fulton|west|pump|15|held
1180|fulton|south|pump|65|shipped
1186|dorian|west|rotor|41|held
1766|ionic|east|frame|20|held
1119|harbor|north|valve|47|paid
1386|gale|east|pump|38|held
1779|gale|south|frame|52|pending
1083|harbor|east|frame|84|shipped
1191|gale|west|gasket|17|shipped
1248|cobalt|north|panel|96|shipped
1793|cobalt|east|valve|60|shipped
1131|acme|west|cable|82|pending
1111|acme|east|sensor|50|paid
1551|acme|west|valve|45|paid
1556|harbor|west|gasket|79|paid
1369|fulton|north|sensor|66|held
1144|fulton|north|frame|44|shipped
1557|gale|south|cable|60|pending
1391|juno|east|pump|81|held
1486|gale|east|frame|87|pending
1293|acme|west|frame|10|pending
1173|birch|north|rotor|77|held
1219|ember|west|cable|40|held
1790|harbor|west|rotor|32|pending
1585|cobalt|west|valve|77|shipped
1562|cobalt|west|valve|74|shipped
1419|birch|west|rotor|33|held
1706|ionic|west|frame|80|paid
1240|ember|east|frame|52|held
1442|acme|north|pump|96|paid
1309|harbor|west|frame|38|held
1213|birch|south|valve|23|pending
1782|ionic|south|valve|30|shipped
1051|gale|south|sensor|61|pending
1319|ionic|south|pump|88|pending
1752|birch|west|rotor|10|paid
1439|ember|south|frame|95|shipped
1596|birch|south|panel|56|paid
1363|gale|east|frame|46|pending
1017|gale|north|cable|76|pending
1656|ember|west|cable|78|pending
1502|dorian|north|valve|86|held
1573|gale|east|frame|48|held
1351|harbor|south|pump|78|shipped
1207|fulton|east|valve|82|held
1041|gale|north|valve|57|pending
1296|dorian|north|cable|57|pending
1373|ember|north|gasket|11|shipped
1689|cobalt|west|rotor|43|pending
1480|juno|south|frame|25|paid
1607|harbor|north|valve|35|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, 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": 1005}},
{"tool": "cancel_order", "args": {"order_id": 1014}},
{"tool": "cancel_order", "args": {"order_id": 1029}},
{"tool": "cancel_order", "args": {"order_id": 1039}},
{"tool": "cancel_order", "args": {"order_id": 1051}},
{"tool": "cancel_order", "args": {"order_id": 1557}},
{"tool": "cancel_order", "args": {"order_id": 1779}}
]correctagentic.tools.triage-v1conf 100% · 759ms · $0.002 · 1668 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → haddad
- auth → dubois
- payments → rivera
INCIDENTS:
1. "export file corrupted" (category: data, priority 7)
2. "export file corrupted" (category: data, priority 7)
3. "refund double-charged" (category: payments, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}
]correctagentic.tools.deploy-v1conf 100% · 714ms · $0.001 · 841 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: search
- search: (none)
- gateway: reports, search
- notifier: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 146ms · $0.003 · 2587 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: $814
- delta: $667
- lima: $210
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $591 from "kilo" to "lima"
2. pay $578 from "kilo" to "lima"
3. pay $206 from "lima" to "delta"
4. pay $518 from "kilo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 591}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 355}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 578}},
{"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 206}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 518}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 518}}
]correctagentic.tools.triage-v1conf 100% · 358ms · $0.002 · 1648 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → rivera
- data → silva
- auth → chen
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 6)
2. "records missing after import" (category: data, priority 5)
3. "webhooks not delivered" (category: infra, priority 6)
4. "API latency spikes" (category: infra, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "rivera"}}
]correctagentic.tools.deploy-v1conf 100% · 1.1s · $0.002 · 1310 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: gateway
- billing: gateway
- gateway: (none)
- auth-svc: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1conf — · — · — · — 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 (295 records, format: id|customer|region|item|qty|status):
```
1643|ionic|east|frame|81|shipped
1995|dorian|south|panel|14|pending
1067|fulton|north|cable|96|pending
1264|birch|west|rotor|28|shipped
1346|cobalt|east|frame|11|shipped
1613|acme|west|sensor|50|shipped
2015|acme|west|frame|44|held
1388|dorian|west|cable|54|shipped
1759|ember|east|sensor|83|paid
1555|fulton|west|rotor|78|shipped
1796|ember|north|sensor|96|pending
1833|harbor|north|cable|31|held
1391|juno|east|panel|67|paid
2057|acme|north|pump|79|shipped
1596|harbor|north|cable|85|held
1779|gale|east|rotor|11|pending
1202|birch|east|panel|33|pending
1194|birch|west|panel|68|paid
1097|fulton|north|gasket|62|pending
2159|ember|west|frame|27|pending
1287|cobalt|west|cable|88|held
1312|dorian|east|frame|42|pending
2158|fulton|west|pump|83|held
1367|harbor|west|gasket|76|paid
1861|juno|north|panel|79|paid
2035|fulton|west|rotor|88|pending
1215|juno|east|sensor|82|pending
1603|ionic|north|frame|40|paid
1789|gale|west|gasket|66|shipped
1969|gale|north|sensor|93|shipped
1591|ember|west|gasket|48|pending
2097|birch|south|rotor|34|paid
2049|cobalt|west|sensor|64|paid
1822|juno|east|valve|29|pending
1250|ionic|west|cable|10|pending
1932|dorian|south|panel|59|held
1768|juno|east|cable|62|held
1858|fulton|north|sensor|39|pending
1478|acme|east|cable|65|held
1582|acme|south|panel|49|held
1576|dorian|east|panel|23|paid
1960|birch|west|cable|22|paid
1464|acme|east|valve|45|paid
2068|acme|south|valve|79|paid
2145|ionic|west|cable|89|held
1347|harbor|north|rotor|29|held
1116|fulton|east|sensor|76|pending
1442|harbor|south|panel|42|pending
1231|dorian|west|cable|24|pending
1371|dorian|east|sensor|17|held
1430|juno|north|pump|62|pending
1175|birch|south|rotor|36|paid
1521|ember|south|valve|45|paid
1242|acme|north|panel|15|pending
2055|ionic|south|pump|77|held
2117|ember|north|frame|59|held
1383|ionic|east|panel|47|paid
1835|juno|north|rotor|42|pending
1139|acme|north|cable|67|shipped
2212|harbor|south|panel|66|paid
2147|dorian|south|cable|82|held
1353|dorian|south|valve|39|paid
2217|fulton|south|panel|55|pending
1903|ember|east|frame|82|paid
1685|acme|east|valve|28|shipped
1764|acme|east|sensor|86|pending
1434|juno|north|valve|81|pending
1338|harbor|north|pump|72|paid
2194|ionic|east|gasket|60|paid
2162|birch|east|gasket|96|paid
1298|birch|west|cable|38|shipped
1324|cobalt|north|frame|97|paid
1644|cobalt|north|panel|68|shipped
1541|acme|west|sensor|23|paid
1983|cobalt|north|rotor|78|pending
1176|acme|north|valve|84|pending
1307|ionic|west|panel|52|shipped
2108|fulton|west|rotor|56|pending
1495|dorian|south|frame|53|shipped
1909|birch|north|frame|57|held
1539|gale|east|sensor|18|pending
1423|fulton|west|gasket|38|held
1504|harbor|south|cable|48|held
1133|acme|north|valve|46|pending
1491|ember|north|gasket|39|paid
1241|birch|west|cable|81|pending
1918|harbor|east|pump|53|paid
1266|acme|north|gasket|38|paid
1607|fulton|west|frame|80|pending
1123|fulton|north|sensor|86|held
1564|gale|north|gasket|38|shipped
1763|birch|west|panel|34|shipped
2186|cobalt|north|panel|34|pending
2133|gale|south|gasket|50|held
1210|juno|east|rotor|51|paid
1667|juno|north|cable|65|pending
1073|fulton|west|pump|62|pending
1904|dorian|west|valve|88|paid
2173|acme|north|sensor|47|pending
1575|acme|north|valve|16|shipped
1875|fulton|east|gasket|58|paid
1168|cobalt|north|frame|16|pending
1846|cobalt|north|frame|30|pending
2091|ionic|east|sensor|70|paid
1379|gale|east|gasket|85|held
1275|ember|east|gasket|64|held
1450|gale|west|valve|42|paid
1247|cobalt|east|pump|54|held
1546|ionic|south|rotor|92|paid
2088|cobalt|west|gasket|24|pending
1676|juno|west|panel|32|pending
1078|fulton|north|sensor|99|held
1931|fulton|east|rotor|99|shipped
1870|fulton|east|frame|22|held
1157|ember|north|valve|95|held
1112|fulton|north|cable|81|pending
1825|acme|north|frame|85|pending
1443|birch|south|cable|64|pending
1806|dorian|west|rotor|45|shipped
1498|acme|south|panel|73|paid
1330|gale|east|sensor|45|shipped
2218|ember|west|cable|37|held
1281|acme|west|frame|62|held
1605|gale|north|pump|41|pending
1534|juno|north|frame|50|paid
2181|cobalt|west|rotor|41|shipped
1405|acme|north|valve|19|pending
2138|acme|north|frame|79|pending
1708|gale|west|sensor|60|paid
1245|ember|west|sensor|69|held
2174|cobalt|east|panel|21|paid
1814|gale|south|valve|27|pending
1722|birch|north|rotor|74|held
2028|gale|east|pump|87|held
1656|ember|south|frame|25|pending
2002|cobalt|south|valve|69|held
2086|juno|south|cable|63|paid
1756|cobalt|south|sensor|41|pending
1257|ember|north|gasket|79|paid
1663|fulton|north|pump|52|pending
1914|fulton|south|pump|73|paid
1628|ember|north|panel|16|pending
1101|fulton|east|panel|26|pending
1620|juno|south|rotor|92|shipped
2200|dorian|west|pump|77|pending
2045|ember|south|valve|30|shipped
1372|birch|east|gasket|23|pending
2072|acme|west|gasket|24|pending
1896|birch|east|cable|29|paid
1337|ionic|east|sensor|55|pending
1773|fulton|east|frame|10|paid
1092|fulton|north|gasket|45|paid
1734|juno|east|valve|25|held
1874|fulton|west|frame|85|paid
1187|harbor|north|cable|57|pending
2078|birch|east|pump|35|held
2085|cobalt|east|gasket|53|held
1699|dorian|west|pump|47|shipped
1865|fulton|north|rotor|56|shipped
1946|harbor|south|valve|52|held
1557|birch|east|sensor|83|held
1471|juno|south|rotor|36|pending
1441|birch|east|valve|73|pending
2168|acme|west|sensor|58|held
1394|gale|west|cable|15|held
2008|fulton|west|frame|79|paid
1396|ionic|south|gasket|71|paid
1142|fulton|west|panel|21|paid
1319|harbor|east|gasket|72|shipped
1527|juno|north|rotor|22|held
1929|gale|south|rotor|46|shipped
2039|ember|south|panel|61|held
1838|harbor|north|frame|68|paid
1820|ionic|south|sensor|27|shipped
1162|ionic|east|rotor|36|held
1180|gale|east|rotor|68|paid
1146|acme|south|pump|84|shipped
2000|ionic|west|valve|15|pending
2059|ionic|east|frame|33|shipped
1882|fulton|south|sensor|79|held
2144|harbor|east|gasket|27|held
1769|dorian|east|valve|72|held
1955|harbor|west|valve|90|held
1712|acme|east|rotor|46|held
1889|dorian|east|valve|17|pending
1131|acme|west|cable|41|paid
1415|cobalt|west|rotor|30|shipped
1755|harbor|south|frame|65|shipped
1742|ember|north|sensor|13|pending
1154|acme|east|panel|12|paid
2153|ember|north|sensor|35|held
2064|juno|east|gasket|68|held
1937|juno|south|gasket|25|pending
1341|ember|north|pump|60|held
1815|dorian|south|gasket|17|shipped
1363|ember|east|rotor|98|pending
1695|juno|south|gasket|54|pending
1569|gale|west|valve|40|shipped
2132|juno|east|pump|61|pending
1990|ionic|west|valve|39|paid
2211|ionic|north|panel|53|pending
1886|ember|west|rotor|28|shipped
1740|acme|east|rotor|79|held
1327|harbor|east|pump|68|pending
1584|ionic|north|gasket|12|pending
1155|harbor|south|frame|63|shipped
1715|harbor|east|cable|33|pending
1964|dorian|south|sensor|39|held
1916|cobalt|east|valve|95|shipped
1235|gale|west|rotor|79|shipped
2206|cobalt|north|frame|31|held
2124|fulton|east|panel|19|pending
1702|cobalt|west|valve|95|pending
1408|cobalt|west|cable|73|shipped
1976|ionic|south|panel|86|paid
1344|juno|north|sensor|32|pending
1529|birch|north|cable|37|shipped
1086|fulton|east|cable|18|pending
1217|acme|south|panel|96|held
1294|dorian|west|rotor|39|paid
1956|cobalt|north|sensor|91|shipped
1851|acme|south|panel|42|shipped
2170|acme|south|panel|17|shipped
1356|acme|north|panel|13|shipped
1839|dorian|west|pump|35|held
1106|fulton|north|panel|46|paid
2193|fulton|north|valve|61|held
1828|harbor|west|cable|48|paid
2003|ember|west|cable|52|paid
1173|dorian|east|rotor|91|paid
1226|cobalt|east|cable|52|shipped
1639|harbor|south|frame|73|paid
2116|ionic|north|panel|84|pending
1081|fulton|north|frame|25|pending
1652|dorian|north|pump|68|paid
1517|birch|east|frame|93|shipped
1511|acme|south|pump|76|shipped
2111|dorian|north|panel|72|paid
1550|birch|north|rotor|77|shipped
1803|ember|north|frame|62|held
1124|ionic|west|panel|80|shipped
1558|harbor|south|panel|68|shipped
1749|gale|east|sensor|73|paid
1925|gale|north|cable|58|pending
1365|gale|south|pump|48|held
1497|dorian|east|panel|84|shipped
2191|gale|north|frame|67|held
1562|harbor|south|frame|74|paid
1198|acme|south|valve|37|pending
2051|harbor|north|rotor|25|held
1169|juno|north|frame|53|held
1512|birch|north|sensor|51|paid
1908|harbor|south|frame|76|paid
1680|birch|south|rotor|42|shipped
1314|cobalt|east|pump|19|shipped
1403|birch|south|sensor|34|held
1630|juno|south|sensor|46|paid
1302|birch|north|panel|28|paid
1271|acme|north|sensor|42|shipped
1808|gale|east|sensor|63|pending
1664|dorian|west|sensor|43|held
1479|acme|north|cable|77|paid
1483|juno|north|frame|45|held
2013|birch|north|sensor|31|held
1943|birch|north|panel|43|paid
1622|juno|south|sensor|70|shipped
1784|harbor|south|frame|69|pending
1922|acme|north|sensor|82|pending
2101|cobalt|east|frame|18|pending
1418|harbor|south|rotor|44|pending
1203|ionic|north|panel|97|shipped
2166|ember|south|rotor|30|paid
1355|gale|east|panel|12|paid
1633|juno|west|frame|50|shipped
1589|cobalt|north|rotor|86|held
1795|dorian|east|gasket|35|held
1693|dorian|north|rotor|68|pending
1670|gale|north|panel|49|shipped
1953|ember|north|panel|26|held
1485|juno|east|cable|28|held
1757|gale|east|valve|31|shipped
1456|birch|south|sensor|58|shipped
1462|birch|east|sensor|67|pending
2125|birch|west|gasket|69|held
1686|juno|east|rotor|35|shipped
1252|ionic|south|sensor|20|shipped
1189|ionic|south|gasket|51|shipped
1973|birch|north|frame|32|pending
1635|dorian|south|valve|95|paid
1848|juno|north|rotor|88|held
1221|gale|west|valve|55|paid
1728|acme|west|valve|32|shipped
1152|ember|west|frame|62|pending
1649|fulton|north|rotor|72|held
2021|fulton|north|frame|31|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 52, 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:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 1.5s · $0.004 · 3550 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: $239
- kilo: $860
- alpha: $577
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $360 from "lima" to "kilo"
2. pay $226 from "lima" to "kilo"
3. pay $468 from "kilo" to "lima"
4. pay $168 from "alpha" to "kilo"
5. pay $568 from "kilo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 121}},
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 360}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 226}},
{"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 226}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 468}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 168}},
{"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 568}}
]correctagentic.tools.triage-v1conf 100% · 158ms · $0.003 · 2189 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → silva
- infra → okafor
- payments → dubois
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "SSO loop on login" (category: auth, priority 3)
3. "invoice total wrong" (category: payments, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}}
]correctagentic.tools.context-load-v1conf 100% · 190ms · $0.008 · 6417 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 (171 records, format: id|customer|region|item|qty|status):
```
1844|ember|west|pump|59|shipped
1717|harbor|south|sensor|42|held
1557|dorian|north|frame|63|pending
1451|cobalt|north|pump|84|pending
1398|fulton|west|rotor|65|shipped
1399|ionic|east|rotor|67|held
1334|birch|south|sensor|63|pending
1655|cobalt|west|cable|87|pending
1640|ionic|east|pump|83|held
1755|dorian|west|frame|72|pending
1571|juno|east|rotor|91|held
1345|birch|east|panel|27|pending
1959|cobalt|south|gasket|19|held
1474|dorian|west|gasket|94|pending
1509|ember|west|frame|35|shipped
1873|dorian|east|valve|58|held
1438|birch|north|gasket|21|shipped
1367|birch|west|cable|77|pending
1675|harbor|south|pump|93|paid
1990|dorian|north|frame|15|pending
1935|fulton|east|pump|28|held
1795|cobalt|east|rotor|68|held
1645|juno|east|valve|22|shipped
1411|acme|north|gasket|49|held
1770|fulton|west|cable|70|paid
1632|ember|west|sensor|78|held
1363|dorian|north|valve|39|paid
1682|dorian|north|gasket|72|pending
1463|birch|east|valve|67|held
1901|ionic|west|frame|39|pending
1976|gale|west|rotor|72|paid
1323|birch|west|frame|14|held
1523|ionic|south|panel|66|held
1315|birch|west|rotor|42|pending
1924|fulton|east|rotor|42|shipped
1705|harbor|north|valve|11|pending
1868|fulton|south|rotor|92|held
1721|gale|north|rotor|50|pending
1733|harbor|north|cable|79|shipped
1899|cobalt|east|gasket|54|shipped
1674|ember|east|panel|88|shipped
1970|harbor|east|rotor|94|shipped
1813|birch|south|frame|53|shipped
1817|juno|east|valve|20|pending
1478|juno|north|frame|18|held
1720|ionic|west|cable|92|shipped
1608|ionic|south|gasket|48|shipped
1468|fulton|north|gasket|67|pending
1579|dorian|south|pump|93|paid
1978|acme|north|cable|28|paid
1911|fulton|north|rotor|20|held
1667|birch|east|pump|24|held
1446|acme|east|panel|52|held
1404|dorian|east|pump|14|shipped
1703|fulton|north|cable|56|pending
1429|acme|north|pump|45|pending
1718|harbor|south|gasket|26|pending
1351|birch|west|pump|61|held
1892|gale|south|panel|10|paid
1540|dorian|west|pump|58|held
1833|cobalt|south|frame|29|shipped
1414|birch|north|cable|90|held
1684|gale|south|pump|77|pending
1643|ember|south|cable|43|shipped
1370|juno|east|frame|98|shipped
1749|dorian|south|cable|88|shipped
1421|harbor|east|rotor|85|shipped
1962|harbor|west|valve|74|pending
1943|ember|east|frame|97|paid
1887|harbor|west|rotor|15|paid
1325|birch|west|valve|77|pending
1908|ember|south|gasket|39|held
1696|dorian|south|rotor|98|shipped
1420|birch|north|sensor|21|held
1820|dorian|east|rotor|37|held
1986|fulton|north|pump|21|shipped
1501|ionic|west|cable|69|pending
1840|gale|south|pump|82|paid
1809|dorian|north|frame|66|paid
1552|juno|east|frame|45|held
1453|harbor|east|rotor|24|pending
1592|dorian|south|rotor|16|paid
1534|dorian|north|pump|48|paid
1777|acme|south|cable|49|pending
1375|acme|south|rotor|56|paid
1903|birch|south|panel|31|pending
1617|gale|north|sensor|60|pending
1520|cobalt|west|sensor|57|held
1585|acme|north|rotor|75|held
1445|birch|west|sensor|56|held
1915|birch|east|valve|29|held
1403|gale|east|sensor|18|paid
1601|harbor|south|cable|40|held
1623|ember|west|pump|79|shipped
1432|harbor|north|frame|59|shipped
1950|gale|west|rotor|30|shipped
1763|ember|west|frame|59|shipped
1335|birch|west|sensor|86|shipped
1989|juno|east|gasket|81|paid
1879|juno|north|cable|53|shipped
1384|harbor|north|gasket|41|paid
1869|acme|west|sensor|38|pending
1849|cobalt|east|valve|22|pending
1744|harbor|west|cable|38|shipped
1707|acme|east|cable|91|pending
1739|dorian|west|panel|90|paid
1952|ionic|south|frame|86|held
1882|ionic|north|pump|68|paid
1839|ionic|west|frame|14|held
1798|ionic|south|rotor|78|pending
1993|acme|east|sensor|46|pending
1366|birch|west|rotor|13|paid
1704|dorian|west|rotor|47|paid
1761|harbor|south|cable|60|shipped
1357|fulton|north|pump|42|held
1802|acme|west|cable|35|held
1767|ionic|south|gasket|99|shipped
1904|dorian|west|pump|59|held
1969|cobalt|west|panel|80|paid
1994|juno|west|cable|30|pending
1423|harbor|west|sensor|48|shipped
1521|ember|south|gasket|66|held
1356|juno|east|rotor|85|shipped
1583|fulton|east|rotor|62|held
1928|cobalt|south|sensor|27|paid
1564|gale|north|pump|87|held
1726|harbor|east|gasket|45|pending
1481|harbor|west|panel|61|pending
1636|ionic|west|rotor|79|held
1939|dorian|north|cable|31|shipped
1497|ember|north|valve|13|paid
1490|ionic|west|gasket|75|shipped
1330|birch|west|cable|43|pending
1713|cobalt|east|panel|72|shipped
1327|birch|north|gasket|10|pending
1382|gale|south|rotor|91|shipped
1895|acme|east|frame|59|shipped
1597|harbor|south|frame|45|held
1863|acme|east|gasket|36|paid
1577|harbor|east|gasket|69|held
1620|cobalt|west|panel|44|shipped
1513|birch|south|pump|85|shipped
1691|juno|west|pump|50|shipped
1329|birch|west|frame|11|shipped
1650|gale|north|gasket|77|held
1628|birch|east|rotor|45|pending
1486|gale|east|frame|81|shipped
1528|gale|east|sensor|88|pending
1545|dorian|north|pump|62|held
1826|birch|west|sensor|13|held
1945|fulton|south|pump|15|pending
1447|juno|west|gasket|38|paid
1506|dorian|north|cable|66|paid
1859|fulton|east|cable|15|shipped
1784|birch|east|frame|90|pending
1856|cobalt|north|panel|87|pending
1710|dorian|east|frame|27|pending
1391|birch|east|panel|16|shipped
1612|ionic|east|rotor|99|pending
1515|ember|west|rotor|33|shipped
1883|juno|north|cable|84|shipped
1341|birch|west|valve|71|pending
1788|juno|south|frame|84|held
1661|juno|east|rotor|65|paid
1322|birch|north|gasket|70|pending
1624|acme|east|panel|67|held
1460|fulton|south|sensor|90|pending
1922|gale|south|frame|69|shipped
1925|ionic|south|gasket|92|held
1982|fulton|east|rotor|99|pending
1865|gale|west|sensor|12|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 69, 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": 1315}},
{"tool": "restock", "args": {"item": "valve", "qty": 77}},
{"tool": "cancel_order", "args": {"order_id": 1330}},
{"tool": "restock", "args": {"item": "valve", "qty": 71}},
{"tool": "restock", "args": {"item": "cable", "qty": 77}}
]correctagentic.tools.deploy-v1conf 100% · 703ms · $0.001 · 1172 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: search
- search: notifier
- notifier: (none)
- auth-svc: reports, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]correctagentic.tools.ledger-v1conf 100% · 446ms · $0.002 · 1772 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: $204
- bravo: $766
- kilo: $769
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $112 from "kilo" to "tango"
2. pay $177 from "bravo" to "kilo"
3. pay $455 from "tango" to "kilo"
4. pay $351 from "kilo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 112}},
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 177}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 139}},
{"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 455}},
{"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 351}}
]wrongagentic.tools.triage-v1conf 100% · 190ms · $0.002 · 1721 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → dubois
- data → tanaka
- auth → rivera
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 7)
2. "export file corrupted" (category: data, priority 4)
3. "export file corrupted" (category: data, priority 4)
4. "uploads failing intermittently" (category: infra, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1conf — · — · — · — 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 (247 records, format: id|customer|region|item|qty|status):
```
1847|harbor|north|gasket|50|shipped
2103|ember|west|rotor|32|paid
2261|birch|west|panel|77|shipped
1968|cobalt|west|frame|27|paid
2097|ionic|south|sensor|36|shipped
1743|juno|west|pump|55|held
1518|harbor|east|panel|74|paid
1415|ember|east|sensor|49|shipped
2267|birch|east|rotor|92|held
1454|acme|south|cable|79|shipped
2056|ionic|south|sensor|38|held
2335|fulton|north|gasket|62|paid
1929|dorian|east|frame|99|shipped
2130|harbor|north|panel|65|pending
1800|acme|east|pump|10|pending
2332|cobalt|north|valve|38|shipped
2040|cobalt|east|rotor|33|shipped
1578|ember|west|frame|22|shipped
1662|ionic|south|frame|55|pending
1869|dorian|east|frame|41|pending
1508|cobalt|west|rotor|58|shipped
1989|fulton|west|sensor|29|pending
1733|gale|north|sensor|95|shipped
1997|cobalt|north|frame|71|held
1495|acme|west|cable|92|held
1576|gale|south|rotor|77|shipped
2025|ionic|east|sensor|90|pending
2288|gale|west|pump|90|shipped
2292|gale|east|cable|36|paid
2364|dorian|south|valve|94|held
1502|acme|west|valve|39|pending
1587|harbor|west|cable|18|shipped
1680|birch|south|pump|23|pending
1425|ember|east|sensor|56|pending
1751|juno|west|sensor|87|held
1958|birch|west|panel|85|held
1545|acme|east|gasket|17|held
1479|birch|east|pump|79|pending
1601|ember|north|gasket|50|shipped
2282|juno|east|pump|31|paid
2310|acme|north|panel|14|shipped
1708|cobalt|east|panel|58|shipped
1652|cobalt|east|gasket|99|shipped
1442|cobalt|north|sensor|47|paid
2137|juno|east|rotor|67|pending
1767|juno|west|pump|59|paid
2209|acme|east|frame|84|pending
2086|acme|north|cable|52|held
1461|gale|east|rotor|55|shipped
2032|gale|north|rotor|20|held
1866|birch|east|panel|62|paid
1622|harbor|west|cable|68|held
2152|birch|east|panel|58|paid
1857|gale|north|pump|34|shipped
1914|juno|south|frame|44|paid
2374|acme|north|frame|70|paid
2245|birch|west|gasket|72|paid
2009|acme|east|pump|21|paid
1589|fulton|south|panel|59|held
2052|harbor|north|cable|36|pending
2352|ionic|east|gasket|50|shipped
1757|cobalt|south|panel|11|pending
1607|dorian|north|pump|37|paid
1679|dorian|west|panel|67|held
1695|ionic|south|sensor|37|shipped
1646|dorian|north|cable|56|shipped
1773|gale|south|valve|44|held
1667|dorian|west|pump|60|held
1911|harbor|west|panel|20|pending
1946|cobalt|north|frame|58|paid
1763|cobalt|west|valve|88|paid
2316|birch|north|pump|16|held
1463|cobalt|west|cable|24|shipped
1807|dorian|east|valve|83|shipped
1898|ionic|south|sensor|94|shipped
2168|juno|south|rotor|36|pending
2206|ionic|east|rotor|30|held
2173|ionic|south|valve|35|held
1851|birch|south|panel|29|held
1886|gale|south|sensor|51|held
1478|ionic|south|frame|21|held
2110|cobalt|south|valve|39|held
2256|dorian|north|gasket|50|paid
1552|acme|west|gasket|50|shipped
2187|gale|south|cable|44|paid
1930|birch|east|valve|75|shipped
1438|dorian|north|rotor|72|shipped
2027|gale|east|frame|33|held
2361|birch|west|cable|59|paid
1766|acme|west|frame|95|held
1448|juno|west|cable|39|shipped
2241|fulton|north|valve|14|pending
2266|juno|east|rotor|24|shipped
1686|juno|south|cable|94|pending
1979|birch|east|rotor|37|paid
1498|acme|east|panel|79|held
2015|harbor|south|rotor|84|pending
1876|ionic|west|sensor|95|pending
2114|harbor|east|cable|97|shipped
2371|dorian|west|frame|61|pending
1634|fulton|east|panel|62|held
2299|dorian|north|sensor|84|held
2078|acme|east|valve|62|shipped
1401|ember|east|sensor|54|pending
2279|harbor|east|cable|99|paid
1831|dorian|east|cable|54|paid
1416|ember|east|panel|45|pending
1818|ember|east|sensor|27|shipped
1729|juno|south|valve|29|pending
1984|harbor|south|cable|97|held
1562|cobalt|north|valve|18|pending
1512|ionic|south|valve|42|held
1849|harbor|north|cable|53|paid
1908|birch|east|valve|36|pending
1999|juno|south|gasket|80|paid
1891|birch|west|valve|91|held
1432|ember|west|cable|43|pending
2239|dorian|west|gasket|76|shipped
1711|ember|north|sensor|30|shipped
1564|gale|north|gasket|76|held
1901|cobalt|south|rotor|53|shipped
2057|juno|north|cable|63|pending
2010|cobalt|north|sensor|93|pending
1804|fulton|south|gasket|78|held
2070|dorian|east|panel|15|held
1408|ember|south|rotor|24|pending
1530|birch|east|frame|69|shipped
1617|cobalt|west|panel|30|held
1648|acme|south|cable|16|pending
2287|gale|south|gasket|42|held
1471|cobalt|north|rotor|37|paid
1834|juno|north|panel|65|held
1595|harbor|south|gasket|96|held
2196|birch|west|valve|90|shipped
1972|gale|east|cable|33|shipped
1949|juno|east|pump|89|held
1900|cobalt|south|frame|62|held
1890|juno|west|pump|69|pending
1590|dorian|east|valve|27|held
2381|juno|north|pump|45|held
1937|dorian|east|cable|53|paid
2343|ember|east|pump|69|pending
1555|ember|north|pump|83|paid
1603|ember|west|rotor|91|paid
1486|gale|north|pump|11|shipped
1720|ember|south|rotor|78|pending
1673|fulton|south|gasket|40|paid
1827|fulton|north|panel|64|held
1942|cobalt|west|frame|47|paid
1437|ember|east|gasket|30|shipped
1823|harbor|south|pump|12|shipped
2092|fulton|south|valve|32|shipped
2136|dorian|east|rotor|99|held
2119|acme|east|pump|27|pending
1859|ember|east|gasket|62|paid
2306|birch|west|cable|58|held
2113|harbor|east|valve|75|shipped
2074|dorian|east|frame|21|pending
1748|birch|west|panel|20|held
1645|birch|south|gasket|73|paid
1884|acme|east|valve|33|held
1417|ember|north|sensor|28|pending
2162|harbor|west|rotor|54|paid
2157|juno|south|frame|45|pending
1677|juno|west|frame|94|shipped
2183|dorian|north|gasket|17|pending
1687|juno|east|sensor|33|held
1656|gale|west|pump|15|paid
1701|ember|south|sensor|21|paid
1451|birch|north|panel|56|pending
2346|harbor|south|rotor|79|shipped
2019|dorian|west|pump|34|held
2142|birch|east|rotor|34|paid
2198|gale|east|valve|49|pending
1655|cobalt|east|sensor|22|shipped
2068|fulton|south|cable|82|pending
2321|cobalt|east|panel|90|pending
2064|dorian|south|sensor|84|pending
1581|dorian|west|gasket|43|held
1525|dorian|south|valve|43|pending
2225|dorian|east|panel|65|shipped
2312|fulton|north|pump|62|paid
2356|dorian|south|valve|19|held
1848|cobalt|west|valve|89|paid
1524|fulton|west|valve|82|pending
2035|birch|north|gasket|93|pending
1527|ember|east|gasket|67|pending
1541|birch|west|pump|87|pending
1421|ember|east|pump|92|paid
1820|harbor|north|rotor|39|pending
1781|harbor|west|sensor|33|pending
1690|ionic|south|panel|21|shipped
2144|acme|west|frame|74|pending
1811|acme|west|sensor|95|paid
2295|juno|north|frame|95|shipped
1962|birch|north|frame|94|held
1736|juno|east|gasket|78|shipped
1570|ember|south|valve|29|paid
2218|harbor|west|valve|23|held
1923|ionic|west|pump|20|paid
1716|juno|north|pump|79|paid
1951|juno|west|cable|49|pending
2178|ionic|north|sensor|34|pending
1945|harbor|south|sensor|12|held
2200|ionic|south|gasket|36|held
2214|cobalt|east|rotor|58|shipped
1787|ember|north|rotor|30|paid
2161|fulton|east|pump|53|pending
2237|ember|west|cable|37|held
2003|harbor|south|valve|80|pending
1792|juno|south|sensor|55|shipped
1493|birch|south|sensor|84|held
2091|fulton|west|valve|59|paid
1588|birch|south|valve|64|pending
1641|dorian|west|panel|15|paid
1610|harbor|north|pump|94|shipped
2251|ionic|east|cable|15|pending
1915|ionic|north|panel|84|shipped
2083|acme|west|sensor|34|paid
2263|juno|south|frame|99|paid
1728|ember|west|cable|56|paid
2047|cobalt|east|valve|13|pending
1712|gale|south|sensor|97|pending
1534|gale|west|panel|73|shipped
1994|juno|south|panel|22|held
1883|gale|south|rotor|80|shipped
2231|juno|east|cable|98|held
1809|ionic|west|valve|67|paid
1797|ember|east|valve|62|paid
1983|dorian|north|frame|73|held
1921|cobalt|south|gasket|90|pending
1721|gale|north|frame|65|paid
1467|ionic|south|panel|23|held
1765|fulton|east|panel|76|pending
2327|juno|south|frame|82|held
2147|juno|east|panel|88|paid
2126|harbor|south|frame|77|shipped
2274|harbor|west|pump|58|shipped
2067|dorian|east|frame|40|paid
2338|dorian|west|cable|61|pending
1840|gale|west|rotor|44|pending
2264|birch|east|pump|52|paid
2189|gale|north|frame|55|pending
1598|juno|east|pump|97|held
2131|fulton|south|rotor|47|pending
1629|ionic|north|cable|40|shipped
1777|acme|east|valve|16|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, 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:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 111ms · $0.002 · 1636 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: gateway
- gateway: billing
- billing: (none)
- auth-svc: gateway, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]correctagentic.tools.ledger-v1conf 100% · 122ms · $0.002 · 2151 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $388
- bravo: $434
- delta: $201
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $220 from "delta" to "alpha"
2. pay $240 from "alpha" to "bravo"
3. pay $462 from "delta" to "alpha"
4. pay $391 from "bravo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 19}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 220}},
{"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 240}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 462}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 462}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 391}}
]correctagentic.tools.triage-v1conf 100% · 1.6s · $0.002 · 1372 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 → okafor
- data → chen
- payments → dubois
INCIDENTS:
1. "cannot reset password" (category: auth, priority 4)
2. "dashboard shows stale numbers" (category: data, priority 4)
3. "cannot reset password" (category: auth, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "cannot reset password",
"priority": 4
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-1"
}
}
]correctagentic.tools.deploy-v1conf 100% · 1.3s · $0.002 · 1339 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- reports: gateway
- search: auth-svc, reports
- auth-svc: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "search"}}
]correctagentic.tools.ledger-v1conf 100% · 1.1s · $0.002 · 1713 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $511
- delta: $387
- oscar: $669
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $208 from "oscar" to "bravo"
2. pay $457 from "delta" to "bravo"
3. pay $348 from "bravo" to "delta"
4. pay $222 from "delta" 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": "oscar", "to": "bravo", "amount": 208}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 70}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 457}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 348}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 222}}
]correctagentic.tools.triage-v1conf 100% · 1.4s · $0.002 · 2010 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → haddad
- infra → okafor
- data → silva
INCIDENTS:
1. "refund double-charged" (category: payments, priority 8)
2. "API latency spikes" (category: infra, priority 2)
3. "dashboard shows stale numbers" (category: data, priority 8)
4. "refund double-charged" (category: payments, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]truncatedagentic.tools.context-load-v1conf — · 1.4s · $0.019 · 16384 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):
```
1119|dorian|west|gasket|50|pending
1953|dorian|north|valve|81|held
1970|ionic|west|panel|78|paid
1608|ember|east|panel|34|shipped
1551|harbor|east|cable|56|paid
1764|acme|west|frame|43|paid
1166|ionic|north|pump|77|held
1455|fulton|west|panel|19|pending
1781|cobalt|north|gasket|14|pending
2089|birch|west|gasket|35|shipped
1316|fulton|north|sensor|20|held
1810|acme|west|cable|86|held
1938|ember|east|frame|57|paid
1202|cobalt|east|gasket|96|pending
1027|birch|south|pump|65|held
1033|birch|east|sensor|93|pending
1018|birch|south|rotor|69|shipped
2065|cobalt|west|valve|95|pending
1448|dorian|east|cable|82|held
1615|juno|east|panel|83|paid
1607|harbor|north|pump|42|held
1569|acme|east|valve|87|paid
1301|fulton|south|frame|91|pending
1131|acme|west|sensor|16|shipped
1875|gale|north|panel|48|held
1016|birch|north|pump|34|pending
1508|birch|east|cable|21|held
1572|birch|east|sensor|94|held
1937|cobalt|north|cable|20|shipped
1742|dorian|north|pump|82|held
1337|ionic|west|gasket|60|held
2028|fulton|south|sensor|90|paid
1761|harbor|east|cable|19|pending
1559|fulton|west|pump|99|held
1152|ionic|east|frame|88|shipped
1399|juno|south|rotor|32|shipped
1891|harbor|east|frame|81|shipped
1850|gale|north|frame|84|pending
1666|harbor|west|cable|28|shipped
2058|ionic|north|sensor|44|paid
2011|birch|north|rotor|10|held
1996|ember|east|pump|52|held
1946|ionic|west|sensor|52|held
1878|juno|west|valve|26|held
1589|harbor|north|cable|75|pending
1087|birch|east|frame|15|shipped
1702|ember|south|pump|18|pending
1477|ionic|south|valve|11|pending
1870|ember|north|cable|40|held
1907|acme|east|panel|86|paid
1389|gale|west|frame|26|paid
1225|juno|south|cable|44|held
1555|birch|north|pump|95|pending
1664|dorian|north|rotor|34|paid
1420|harbor|north|frame|59|paid
1719|juno|east|cable|76|shipped
1769|ember|north|cable|46|shipped
1274|gale|south|sensor|93|pending
1174|birch|south|sensor|47|shipped
1118|ionic|south|pump|56|held
1517|dorian|west|valve|74|shipped
1126|gale|north|rotor|63|pending
1535|cobalt|north|gasket|58|shipped
2082|harbor|west|pump|56|paid
1945|cobalt|south|valve|19|held
1447|birch|south|valve|77|held
1384|birch|south|cable|67|pending
1696|birch|south|valve|90|held
1403|acme|east|cable|95|pending
1082|juno|south|frame|69|paid
1197|ember|east|frame|61|held
1698|birch|west|panel|90|shipped
1806|fulton|south|pump|76|pending
1289|dorian|west|pump|33|held
1577|harbor|east|gasket|40|pending
1308|birch|west|frame|64|pending
1584|ember|north|frame|96|held
1069|fulton|west|pump|72|shipped
2016|gale|north|rotor|13|held
1314|ember|south|frame|79|held
1410|fulton|west|valve|45|paid
1213|gale|south|pump|12|paid
1748|dorian|north|pump|71|held
1973|cobalt|east|gasket|68|paid
1070|birch|west|frame|13|shipped
1113|cobalt|east|cable|75|shipped
2087|cobalt|south|pump|84|held
1094|gale|east|frame|89|shipped
1432|ionic|east|sensor|88|shipped
1049|birch|south|gasket|41|pending
1422|ionic|east|valve|26|shipped
1471|ember|west|valve|44|shipped
1377|juno|east|sensor|30|shipped
1404|ember|north|sensor|21|held
2091|ember|west|sensor|42|paid
1680|fulton|west|cable|19|held
1500|fulton|north|gasket|48|pending
2083|cobalt|east|pump|53|paid
1068|cobalt|south|gasket|51|pending
1190|dorian|west|rotor|73|shipped
1844|ionic|west|gasket|77|pending
1038|birch|south|gasket|78|paid
1243|harbor|west|cable|19|shipped
1623|dorian|south|gasket|46|shipped
1637|birch|west|frame|55|paid
1818|juno|north|rotor|89|held
1441|juno|north|panel|97|held
1898|harbor|west|sensor|23|pending
1957|harbor|east|frame|50|pending
1987|acme|east|valve|97|pending
1464|gale|east|pump|94|paid
1099|dorian|south|cable|88|held
1124|ionic|east|panel|81|shipped
1136|gale|south|cable|58|held
1323|ionic|west|pump|42|paid
1326|ember|north|valve|28|held
1856|gale|south|rotor|48|paid
1020|birch|north|valve|55|pending
2080|harbor|north|rotor|89|paid
1836|gale|west|gasket|30|pending
2039|birch|east|rotor|70|paid
1428|acme|west|pump|88|paid
1531|birch|west|rotor|86|shipped
1019|birch|south|cable|49|pending
1546|ember|east|valve|32|shipped
1264|ionic|east|frame|81|paid
1778|ionic|east|cable|27|paid
1523|dorian|south|frame|44|pending
1149|birch|east|sensor|44|shipped
1892|birch|south|panel|82|pending
2070|cobalt|north|pump|57|shipped
1949|ionic|west|sensor|45|paid
1632|ember|east|gasket|13|held
1658|birch|west|valve|70|held
1651|cobalt|west|sensor|57|paid
2105|harbor|south|sensor|14|held
1066|ember|south|pump|22|shipped
1846|fulton|west|gasket|57|held
1503|fulton|north|rotor|82|paid
1694|ember|south|gasket|46|paid
2022|birch|south|frame|42|paid
1184|acme|west|rotor|63|paid
1684|cobalt|south|cable|18|pending
1040|birch|south|sensor|89|pending
1847|ember|west|gasket|86|paid
1832|ionic|north|valve|31|held
1631|birch|west|rotor|47|pending
1332|ionic|west|pump|49|pending
2055|ionic|north|gasket|67|pending
1295|dorian|west|sensor|27|pending
1207|harbor|north|pump|20|shipped
1435|gale|south|frame|65|shipped
1064|gale|east|sensor|95|paid
1063|dorian|north|gasket|75|shipped
1931|dorian|south|cable|49|pending
1030|birch|south|cable|12|pending
1733|gale|west|valve|70|pending
2043|ionic|south|rotor|47|paid
1967|ember|north|frame|85|pending
1259|acme|east|rotor|91|pending
1013|birch|south|cable|23|pending
1180|juno|south|pump|27|pending
1772|dorian|east|gasket|38|shipped
1054|birch|north|sensor|62|pending
1635|juno|south|cable|61|pending
1792|gale|south|valve|40|shipped
1826|gale|east|cable|64|pending
1421|cobalt|north|cable|24|held
1562|ember|south|gasket|88|paid
1231|gale|north|frame|87|pending
1060|birch|north|cable|38|paid
1800|dorian|west|frame|45|shipped
2098|fulton|south|frame|44|paid
1773|fulton|east|pump|57|shipped
1346|juno|east|valve|78|pending
1686|cobalt|north|sensor|75|pending
1565|dorian|south|cable|97|held
1814|ionic|north|valve|43|held
1729|ember|north|sensor|78|held
1821|fulton|west|cable|71|pending
1786|acme|north|gasket|49|pending
1249|dorian|north|pump|82|paid
1528|acme|south|frame|19|held
1936|fulton|north|frame|67|shipped
1755|harbor|north|pump|88|shipped
1107|fulton|west|sensor|78|shipped
1493|gale|west|panel|61|held
2073|ionic|east|panel|44|shipped
1530|birch|west|sensor|32|paid
1143|fulton|west|cable|62|held
1366|ionic|east|valve|19|paid
2005|dorian|west|sensor|15|shipped
1328|harbor|east|frame|27|paid
2067|cobalt|north|gasket|30|held
1728|fulton|west|valve|51|held
1793|gale|east|panel|22|paid
1303|dorian|north|valve|81|paid
1253|juno|west|cable|86|pending
1238|ionic|west|cable|55|pending
1914|harbor|west|frame|32|shipped
1220|cobalt|north|frame|91|pending
1357|ionic|west|pump|82|paid
1863|cobalt|east|sensor|11|paid
1595|dorian|north|rotor|59|held
1413|ionic|west|valve|40|shipped
1393|dorian|south|pump|66|held
1722|ember|south|valve|46|shipped
2109|harbor|east|sensor|73|shipped
1273|dorian|south|frame|54|pending
1194|dorian|north|pump|68|held
1372|ionic|east|pump|84|held
1280|cobalt|south|panel|40|shipped
1226|cobalt|west|gasket|12|shipped
1371|fulton|east|sensor|39|paid
1817|dorian|west|valve|81|paid
1172|harbor|east|gasket|16|shipped
1084|cobalt|west|panel|89|paid
1217|gale|south|pump|54|shipped
1484|ionic|north|gasket|12|paid
1690|gale|west|panel|63|held
1361|acme|west|pump|42|pending
1430|harbor|east|gasket|87|shipped
1573|cobalt|north|frame|79|held
1676|juno|north|valve|33|shipped
2002|acme|west|rotor|69|pending
2035|gale|west|sensor|62|paid
1600|ember|south|gasket|31|paid
1920|birch|north|pump|64|paid
1580|gale|south|rotor|69|pending
1735|gale|north|frame|12|held
1179|birch|south|pump|54|pending
1470|ember|south|pump|86|paid
1283|dorian|east|rotor|60|pending
1723|harbor|east|valve|46|pending
1886|fulton|north|sensor|98|shipped
1510|cobalt|west|panel|83|held
1059|birch|south|pump|49|held
1159|dorian|east|rotor|83|paid
1964|acme|south|gasket|37|pending
2029|birch|north|rotor|70|paid
1486|ionic|north|pump|24|paid
1622|birch|south|rotor|57|held
1265|acme|north|frame|60|shipped
2049|ember|north|rotor|38|shipped
1541|gale|north|cable|14|paid
1924|birch|north|panel|97|held
1105|birch|east|frame|57|pending
1980|fulton|west|sensor|18|pending
1043|birch|west|frame|73|pending
1707|cobalt|east|pump|80|held
1630|ember|west|valve|73|paid
1519|juno|south|pump|11|held
1076|dorian|east|cable|86|shipped
1901|juno|south|rotor|27|shipped
1881|fulton|south|valve|94|held
1353|ember|west|frame|44|shipped
1760|juno|south|panel|37|held
1459|acme|south|frame|13|pending
1268|gale|east|cable|95|pending
1644|acme|east|valve|22|shipped
1990|cobalt|south|gasket|89|paid
1047|birch|south|frame|42|held
1342|harbor|south|panel|63|shipped
1218|acme|west|panel|14|shipped
1474|gale|north|cable|61|held
1341|acme|west|cable|42|paid
1812|birch|west|gasket|23|held
1712|ember|east|sensor|24|paid
2030|dorian|north|valve|18|paid
1788|juno|east|cable|13|paid
1843|fulton|north|pump|99|held
2106|birch|north|gasket|60|held
1660|ionic|south|valve|71|held
1499|juno|west|cable|65|shipped
1606|ionic|east|sensor|30|shipped
1461|fulton|west|cable|26|shipped
1406|dorian|north|panel|33|held
1671|gale|west|sensor|80|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 41, 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:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 741ms · $0.001 · 1209 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: auth-svc, reports
- auth-svc: (none)
- reports: auth-svc
- notifier: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" 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": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "search"}}
]correctagentic.tools.ledger-v1conf 100% · 867ms · $0.002 · 1317 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: $527
- lima: $291
- oscar: $234
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $213 from "tango" to "lima"
2. pay $496 from "tango" to "lima"
3. pay $190 from "oscar" to "tango"
4. pay $477 from "tango" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 213}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 182}},
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 496}},
{"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 190}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 287}},
{"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 477}}
]correctagentic.tools.triage-v1conf 100% · 711ms · $0.002 · 1662 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 → novak
- infra → tanaka
- data → rivera
INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "refund double-charged" (category: payments, priority 7)
3. "dashboard shows stale numbers" (category: data, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}
]correctagentic.tools.context-load-v1anchorconf 100% · 168ms · $0.015 · 13557 tok
model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}}
]correctagentic.tools.triage-v1anchorconf 100% · 1.5s · $0.003 · 2671 tok
model answer:
[
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-1"}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"tanaka"}},
{"tool":"create_ticket","args":{"title":"records missing after import","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"novak"}},
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]correctagentic.tools.deploy-v1anchorconf 100% · 630ms · $0.001 · 1020 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1anchorconf 100% · 927ms · $0.002 · 1935 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.js-v1conf 100% · 1.5s · $0.018 · 16384 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13]; 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:
486correctcode.trace.nested-v1conf 100% · 777ms · $0.003 · 2770 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 == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
134correctcode.trace.python-v1conf 100% · 1.6s · $0.002 · 1738 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 1
while total + v <= 66:
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:
61correctcode.trace.nested-v1conf 100% · 721ms · $0.003 · 3097 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) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
203correctcode.trace.js-v1conf 100% · 786ms · $0.001 · 737 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 5) .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:
150correctcode.trace.nested-v1conf 100% · 108ms · $0.006 · 5275 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
186correctcode.trace.python-v1conf 100% · 105ms · $0.001 · 1122 tok
question
What does this Python program print?
```python
total = 0
v = 5
while total + v <= 108:
if v % 3 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
95correctcode.trace.nested-v1conf 100% · 100ms · $0.003 · 2502 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
104correctcode.trace.js-v1conf 100% · 881ms · $0.001 · 428 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 5) .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:
260correctcode.trace.python-v1conf 100% · 916ms · $0.001 · 1129 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 86:
if v % 3 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.js-v1conf 100% · 1.7s · $0.001 · 482 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 5) .filter(n => n % 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:
60correctcode.trace.python-v1conf 100% · 110ms · $0.001 · 734 tok
question
What does this Python program print?
```python
total = 0
v = 15
while total + v <= 54:
if v % 3 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
36correctcode.trace.nested-v1conf 100% · 1.2s · $0.002 · 2202 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
70correctcode.trace.js-v1conf 100% · 775ms · $0.001 · 749 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]; const out = arr .map(n => n * 7) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
315correctcode.trace.python-v1conf 100% · 738ms · $0.001 · 782 tok
question
What does this Python program print?
```python
total = 0
v = 2
while total + v <= 70:
if v % 6 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
70correctcode.trace.js-v1conf 100% · 1.2s · $0.001 · 574 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
40correctcode.trace.nested-v1conf 100% · 111ms · $0.004 · 3932 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
288correctcode.trace.python-v1conf 100% · 155ms · $0.001 · 579 tok
question
What does this Python program print?
```python
total = 0
v = 8
while total + v <= 45:
if v % 3 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
44correctcode.trace.js-v1conf 100% · 3.9s · $0.001 · 767 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; 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:
648correctcode.trace.nested-v1conf 100% · 135ms · $0.005 · 4853 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
123correctcode.trace.nested-v1conf 100% · 731ms · $0.003 · 2721 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
252correctcode.trace.python-v1conf 100% · 109ms · $0.001 · 586 tok
question
What does this Python program print?
```python
total = 0
v = 10
while total + v <= 65:
if v % 3 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
58correctcode.trace.js-v1conf 100% · 747ms · $0.000 · 367 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 4) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
276correctcode.trace.nested-v1conf 100% · 817ms · $0.004 · 3411 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
147correctcode.trace.python-v1conf 100% · 1.4s · $0.001 · 1080 tok
question
What does this Python program print?
```python
total = 0
v = 8
while total + v <= 117:
if v % 4 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
0correctcode.trace.js-v1conf 100% · 127ms · $0.000 · 409 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; const out = arr .map(n => n * 7) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
105correctcode.trace.nested-v1anchorconf 100% · 898ms · $0.003 · 2312 tok
model answer:
283correctcode.trace.python-v1anchorconf 100% · 939ms · $0.001 · 1027 tok
model answer:
0correctcode.trace.js-v1anchorconf 100% · 807ms · $0.000 · 340 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 112ms · $0.001 · 548 tok
model answer:
40instruction following 27/30 correct
correctif.constraints.stack-v1conf 100% · 1.3s · $0.004 · 3353 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "tundra" and the last word must be "nova". 3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra gear whispers through corridors, its slow orbit of gears mirrors celestial orbit and orbit of memory echoes beyond time a old relic novacorrectif.constraints.stack-v1conf 100% · 134ms · $0.006 · 5853 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "echo" and the last word must be "orbit". 3. Use the word "lumen" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo drifted beyond misty valleys, chasing faint lumen glimmers, then another lumen spark, until sunrise guided his steady orbitcorrectif.format.repeat-v1conf 100% · 753ms · $0.002 · 1453 tok
question
Write the word "prism" in lowercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism/prism/prismcorrectif.format.acronym-v1conf 100% · 661ms · $0.001 · 443 tok
question
Take the third letter of each of these words, in order: lumen, flint, zephyr, nova, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MIPVLtruncatedif.constraints.stack-v1conf — · 224ms · $0.018 · 16384 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 "falcon" and the last word must be "echo". 3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.repeat-v1conf 100% · 1.3s · $0.002 · 1669 tok
question
Write the word "flint" in capitalized form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FLINT-FLINT-FLINT-FLINT-FLINT-FLINT-FLINT-FLINT-FLINTcorrectif.format.acronym-v1conf 100% · 182ms · $0.000 · 298 tok
question
Take the second letter of each of these words, in order: falcon, comet, prism, tundra, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AORUOtruncatedif.constraints.stack-v1conf — · 112ms · $0.018 · 16384 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "drift" and the last word must be "falcon". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.acronym-v1conf 100% · 1.7s · $0.002 · 1659 tok
question
Take the first letter of each of these words, in order: lumen, zephyr, ember, cedar, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LZECNcorrectif.format.acronym-v1conf 100% · 123ms · $0.000 · 229 tok
question
Take the first letter of each of these words, in order: orbit, ember, falcon, 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:
OEFTcorrectif.format.repeat-v1conf 100% · 125ms · $0.000 · 322 tok
question
Write the word "ember" in uppercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EMBER-EMBER-EMBER-EMBER-EMBER-EMBER-EMBER-EMBERcorrectif.constraints.stack-v1conf 100% · 1.2s · $0.004 · 3820 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "nova" and the last word must be "cedar". 3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova rusted engine of iron and brass in the old workshop rests silent, gears grinding slow, ember glows, ember flickers, ember fades, cedartruncatedif.constraints.stack-v1conf — · 127ms · $0.018 · 16384 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "lumen" and the last word must be "echo". 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:
(none extracted)correctif.format.repeat-v1conf 100% · 111ms · $0.002 · 2016 tok
question
Write the word "flint" in capitalized 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:
FLINT_FLINT_FLINT_FLINTcorrectif.format.acronym-v1conf 100% · 735ms · $0.000 · 281 tok
question
Take the first letter of each of these words, in order: zephyr, drift, orbit, nova, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZDONCcorrectif.constraints.stack-v1conf 100% · 1.3s · $0.002 · 2125 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "cedar" and the last word must be "flint". 3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cedar waves whisper, falcon dives, salty spray, falcon rides the wind, echoing eternity, surf, flintcorrectif.format.repeat-v1conf 100% · 809ms · $0.001 · 658 tok
question
Write the word "basalt" in uppercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
BASALT_BASALT_BASALT_BASALTcorrectif.format.acronym-v1conf 100% · 117ms · $0.000 · 410 tok
question
Take the second letter of each of these words, in order: flint, orbit, falcon, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LRAOcorrectif.format.repeat-v1conf 100% · 113ms · $0.000 · 420 tok
question
Write the word "tundra" 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:
TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRAcorrectif.constraints.stack-v1conf 100% · 755ms · $0.004 · 3477 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "drift" and the last word must be "delta". 3. Use the word "lumen" 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:
drift luminous frost glints, breath mists swirl, lumen sunrise kisses rooftops, lumen amber golden deltacorrectif.format.acronym-v1conf 100% · 701ms · $0.002 · 1416 tok
question
Take the third letter of each of these words, in order: orbit, cedar, lumen, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
BDMLcorrectif.format.repeat-v1conf 100% · 776ms · $0.000 · 424 tok
question
Write the word "falcon" in lowercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon-falcon-falcon-falcon-falcon-falcon-falcon-falcon-falconcorrectif.constraints.stack-v1conf 100% · 789ms · $0.004 · 3383 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "zephyr" and the last word must be "echo". 3. Use the word "comet" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr sighs across endless sea, as comet waves clash and comet currents glide, reflecting comet sunrise over azure depths, while tides whisper echocorrectif.constraints.stack-v1anchorconf 100% · 779ms · $0.005 · 4604 tok
model answer:
drift city silhouette glitters under midnight sky as neon streams and shadows dance like lumen lumen lumen through cobblestones mirrored by lamp glows orbitcorrectif.format.acronym-v1conf 100% · 123ms · $0.000 · 362 tok
question
Take the second letter of each of these words, in order: zephyr, comet, prism, 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:
EORCcorrectif.format.repeat-v1conf 100% · 148ms · $0.005 · 4177 tok
question
Write the word "comet" in uppercase form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
COMET_COMET_COMET_COMET_COMET_COMET_COMET_COMETcorrectif.format.repeat-v1anchorconf 100% · 614ms · $0.001 · 770 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.acronym-v1conf 100% · 762ms · $0.000 · 315 tok
question
Take the second letter of each of these words, in order: basalt, nova, 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:
AOUCcorrectif.format.repeat-v1anchorconf 100% · 100ms · $0.006 · 5534 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 839ms · $0.000 · 293 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.001 · 1066 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 903ms · $0.001 · 930 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% · 812ms · $0.001 · 799 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% · 807ms · $0.001 · 829 tok
question
Identify the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 835ms · $0.000 · 296 tok
question
Identify the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 710ms · $0.001 · 550 tok
question
Identify the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.001 · 681 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% · 662ms · $0.000 · 330 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 · $0.000 · 228 tok
question
What is the element whose symbol is Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 334ms · $0.001 · 439 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% · 150ms · $0.001 · 1011 tok
question
Identify the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 723ms · $0.001 · 1242 tok
question
Identify the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 187ms · $0.001 · 740 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 588ms · $0.018 · 16384 tok
question
What is the Turkish capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 782ms · $0.000 · 167 tok
question
Identify the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 213ms · $0.001 · 710 tok
question
What is the element whose symbol is Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 97ms · $0.000 · 144 tok
question
Identify the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 1.3s · $0.001 · 564 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 121ms · $0.001 · 531 tok
question
Name 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 100% · 152ms · $0.000 · 196 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% · 838ms · $0.001 · 853 tok
question
Identify the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 719ms · $0.000 · 250 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% · 746ms · $0.001 · 729 tok
question
Identify the element whose symbol is W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.001 · 1280 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% · 775ms · $0.001 · 848 tok
question
Identify the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 839ms · $0.000 · 314 tok
question
What is the writer of the novel "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2anchorconf 100% · 1.4s · $0.001 · 621 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 753ms · $0.000 · 244 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 97ms · $0.000 · 194 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 688ms · $0.000 · 263 tok
model answer:
Antimonymath 29/30 correct
correctmath.counterfactual.base-v1conf 100% · 715ms · $0.009 · 8231 tok
question
Work strictly in base 7. Multiply the base-7 numbers 141 and 133. 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:
22413correctmath.chained.pipeline-v1conf 100% · 989ms · $0.001 · 428 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 28 × 68. Step 2: Q = P × 3 − 613. 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:
1277correctmath.percent.chain-v2conf 100% · 839ms · $0.001 · 998 tok
question
An inventory starts at 12000 units. A rival firm shipped 68 unrelated parcels the same week. In the first month the inventory grows by 41%. The warehouse was painted 17 years ago. The next month it shrinks by 25%, and the month after it grows by 13%. 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:
14339.7correctmath.algebra.system-v2conf 100% · 1.7s · $0.000 · 275 tok
question
Solve the system, then answer the derived question. 4x + 2y = -14 6x − 4y = 42 What is the value of 4x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
22correctmath.arith.chain-v2conf 100% · 115ms · $0.001 · 506 tok
question
Compute the value of the following expression. (((51 × 25 − 729) × 6 + 2250) − 42 × 73) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
12300correctmath.percent.chain-v2conf 100% · 1.0s · $0.001 · 913 tok
question
An inventory starts at 12000 units. Each pallet weighs about 15 grams more when wet. In the first month the inventory grows by 34%. The company was founded 70 kilometers from the port. The next month it shrinks by 25%, and the month after it grows by 29%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
15557.4correctmath.chained.pipeline-v1conf 100% · 110ms · $0.001 · 533 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 67 × 47. Step 2: Q = P × 8 − 146. 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:
8350correctmath.counterfactual.base-v1conf 100% · 145ms · $0.001 · 924 tok
question
Work strictly in base 11. Add the base-11 numbers 842 and 596. 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:
1328correctmath.algebra.system-v2conf 100% · 682ms · $0.001 · 494 tok
question
Solve the system, then answer the derived question. 5x + 4y = 21 2x − 4y = 126 What is the value of 2x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
168correctmath.counterfactual.base-v1conf 100% · 783ms · $0.002 · 1591 tok
question
Work strictly in base 11. Multiply the base-11 numbers 51 and 19. 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:
929correctmath.arith.chain-v2conf 100% · 277ms · $0.002 · 1763 tok
question
Calculate the following. Show your reasoning, then answer. (((63 × 30 − 591) × 9 + 8244) − 42 × 61) × 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:
34746correctmath.chained.pipeline-v1conf 100% · 4.3s · $0.001 · 553 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 76 × 65. Step 2: Q = P × 5 − 674. 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:
8010correctmath.percent.chain-v2conf 100% · 1.2s · $0.002 · 1421 tok
question
An inventory starts at 31000 units. Each pallet weighs about 74 grams more when wet. In the first month the inventory grows by 33%. A rival firm shipped 86 unrelated parcels the same week. The next month it shrinks by 5%, and the month after it grows by 25%. 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:
48,960.625correctmath.arith.chain-v2conf 100% · 1.3s · $0.001 · 1108 tok
question
Calculate the following. Show your reasoning, then answer. (((70 × 60 − 414) × 8 + 2513) − 47 × 95) × 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:
85008correctmath.algebra.system-v2conf 100% · 897ms · $0.001 · 442 tok
question
Solve the system, then answer the derived question. 8x + 4y = -48 3x − 2y = -116 What is the value of 4x − 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:
-164TimeoutError: The operation was aborted due to timeoutmath.percent.chain-v2anchorconf — · — · — · — tok
model answer:
(none extracted)correctmath.chained.pipeline-v1conf 100% · 108ms · $0.000 · 292 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 60 × 51. Step 2: Q = P × 4 − 434. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1318correctmath.counterfactual.base-v1conf 100% · 1.7s · $0.002 · 1600 tok
question
Work strictly in base 13. Multiply the base-13 numbers 3B and 12. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
459correctmath.percent.chain-v2conf 100% · 1.4s · $0.002 · 2161 tok
question
An inventory starts at 47000 units. Each pallet weighs about 46 grams more when wet. In the first month the inventory grows by 45%. The delivery van has a 106-liter fuel tank. The next month it shrinks by 17%, and the month after it grows by 38%. 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:
78059.01correctmath.arith.chain-v2conf 100% · 893ms · $0.002 · 1822 tok
question
Calculate the following. Show your reasoning, then answer. (((27 × 72 − 270) × 4 + 6742) − 46 × 45) × 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:
45472correctmath.algebra.system-v2conf 100% · 111ms · $0.001 · 1354 tok
question
Solve the system, then answer the derived question. 7x + 9y = -16 5x − 4y = -1 What is the value of 2x − 4y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2correctmath.chained.pipeline-v1conf 100% · 756ms · $0.001 · 874 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 89 × 31. Step 2: Q = P × 9 − 438. 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:
3489correctmath.percent.chain-v2conf 100% · 859ms · $0.001 · 1156 tok
question
An inventory starts at 89000 units. The company was founded 158 kilometers from the port. In the first month the inventory grows by 40%. The company was founded 104 kilometers from the port. The next month it shrinks by 29%, and the month after it grows by 19%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
105274.54correctmath.counterfactual.base-v1conf 100% · 818ms · $0.001 · 521 tok
question
Work strictly in base 8. Add the base-8 numbers 2410 and 3164. 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:
5574correctmath.arith.chain-v2conf 100% · 716ms · $0.001 · 1095 tok
question
Calculate the following. Show your reasoning, then answer. (((81 × 52 − 749) × 9 + 2100) − 90 × 47) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
145185correctmath.algebra.system-v2conf 100% · 813ms · $0.001 · 456 tok
question
Solve the system, then answer the derived question. 2x + 8y = 264 3x − 5y = -233 What is the value of 5x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-191correctmath.counterfactual.base-v1anchorconf 100% · 1.2s · $0.002 · 1829 tok
model answer:
11236correctmath.chained.pipeline-v1conf 100% · 733ms · $0.001 · 795 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 12 × 81. Step 2: Q = P × 4 − 735. 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:
1051correctmath.arith.chain-v2anchorconf 100% · 673ms · $0.001 · 835 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 130ms · $0.000 · 205 tok
model answer:
87multilingual 29/30 correct
correctmultilingual.numword-v2conf 100% · 708ms · $0.002 · 1736 tok
question
Compute 297 + 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:
seiscientos cuarenta y trescorrectmultilingual.wordnum-v1conf 100% · 1.2s · $0.001 · 572 tok
question
A number is written in French: « quatre cent sept ». Another is written in Spanish: « novecientos setenta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-567correctmultilingual.numword-v2conf 100% · 185ms · $0.002 · 1505 tok
question
Compute 361 + 281, 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 quarante-deuxcorrectmultilingual.wordnum-v1conf 100% · 1.3s · $0.000 · 243 tok
question
A number is written in French: « trois cent quarante-six ». Another is written in Spanish: « trescientos ochenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
735correctmultilingual.numword-v2conf 100% · 2.8s · $0.001 · 1327 tok
question
Compute 458 + 396, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
huit cent cinquante-quatrecorrectmultilingual.wordnum-v1conf 100% · 977ms · $0.000 · 265 tok
question
A number is written in French: « cinq cent huit ». Another is written in Spanish: « ochocientos setenta y tres ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1381correctmultilingual.wordnum-v1conf 100% · 814ms · $0.000 · 352 tok
question
A number is written in French: « trois cent trente ». Another is written in Spanish: « ochocientos ochenta 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:
1217correctmultilingual.numword-v2conf 100% · 145ms · $0.001 · 1161 tok
question
Compute 122 + 401, 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-troiscorrectmultilingual.wordnum-v1conf 90% · 95ms · $0.005 · 4735 tok
question
A number is written in French: « soixante-quatorze ». Another is written in Spanish: « setecientos veinticuatro ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
650correctmultilingual.numword-v2conf 100% · 1.2s · $0.001 · 594 tok
question
Compute 440 + 175, 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 quincecorrectmultilingual.wordnum-v1conf 100% · 1.1s · $0.001 · 708 tok
question
A number is written in French: « sept cent six ». Another is written in Spanish: « quinientos once ». 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:
1217truncatedmultilingual.numword-v2conf — · 169ms · $0.018 · 16384 tok
question
Compute 55 + 148, 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:
(none extracted)correctmultilingual.numword-v2conf 100% · 1.8s · $0.001 · 501 tok
question
Compute 350 + 134, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos ochenta y cuatrocorrectmultilingual.wordnum-v1conf 100% · 721ms · $0.001 · 484 tok
question
A number is written in French: « huit cent quatre-vingt-sept ». Another is written in Spanish: « cuatrocientos veintiocho ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
459correctmultilingual.wordnum-v1conf 100% · 131ms · $0.000 · 260 tok
question
A number is written in French: « deux cent soixante-sept ». Another is written in Spanish: « doscientos ochenta ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-13correctmultilingual.numword-v2conf 100% · 126ms · $0.001 · 918 tok
question
Compute 294 + 348, 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 quarante-deuxcorrectmultilingual.wordnum-v1conf 100% · 889ms · $0.001 · 979 tok
question
A number is written in French: « deux cent quarante-neuf ». Another is written in Spanish: « cuatrocientos treinta y cinco ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-186correctmultilingual.wordnum-v1conf 100% · 697ms · $0.001 · 1336 tok
question
A number is written in French: « cent sept ». Another is written in Spanish: « setecientos diecinueve ». 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:
-612correctmultilingual.wordnum-v1conf 100% · 491ms · $0.018 · 16384 tok
question
A number is written in French: « cent douze ». Another is written in Spanish: « cuatrocientos ochenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
598correctmultilingual.numword-v2conf 100% · 788ms · $0.001 · 1056 tok
question
Compute 389 + 295, 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-quatrecorrectmultilingual.numword-v2conf 100% · 1.2s · $0.001 · 1012 tok
question
Compute 322 + 260, 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 quatre-vingt-deuxcorrectmultilingual.wordnum-v1conf 100% · 698ms · $0.000 · 233 tok
question
A number is written in French: « huit cent cinquante-deux ». Another is written in Spanish: « ciento treinta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
986correctmultilingual.numword-v2conf 100% · 768ms · $0.002 · 1503 tok
question
Compute 223 + 195, 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 dieciochocorrectmultilingual.numword-v2conf 100% · 244ms · $0.001 · 662 tok
question
Compute 160 + 449, 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.numword-v2anchorconf 100% · 112ms · $0.002 · 2146 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1conf 100% · 717ms · $0.000 · 317 tok
question
A number is written in French: « deux cent quarante-trois ». Another is written in Spanish: « ciento cincuenta 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:
89correctmultilingual.numword-v2conf 100% · 1.4s · $0.001 · 1188 tok
question
Compute 396 + 300, 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 noventa y seiscorrectmultilingual.wordnum-v1anchorconf 100% · 149ms · $0.000 · 397 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 796ms · $0.001 · 1160 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 942ms · $0.000 · 349 tok
model answer:
762reasoning 29/30 correct
correctreasoning.deduction.order-v2conf 100% · 779ms · $0.002 · 1797 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Rosa is faster than Sami. Chen is older than everyone here, but Chen is not being ranked. Rosa is faster than Bruno. Goran is faster than Sami. Emil is faster than Mona. Sami is faster than Emil. Bruno is faster than Sami. Goran is faster than Mona. Dara is faster than Goran. Bruno is faster than Dara. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.position-v1conf 100% · 896ms · $0.000 · 367 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Nadir. Nadir is directly ahead of Chen. Chen is number 3 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:
Jonascorrectreasoning.deduction.position-v1conf 100% · 1.7s · $0.001 · 605 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Quinn. Hana is directly ahead of Ola. Quinn is directly ahead of Alice. Alice is number 4 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:
Hanacorrectreasoning.deduction.order-v2conf 95% · 694ms · $0.001 · 1053 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Sami is older than Ola. Alice is older than Dara. Ola is older than Farah. Farah is older than Mona. Ola is older than Mona. Jonas is older than Alice. Dara is older than Sami. Dara is older than Ola. Quinn is heavier than everyone here, but Quinn is not being ranked. Sami is older than Farah. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 100% · 127ms · $0.001 · 850 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Jonas. Bruno is number 1 in the queue. Sami 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:
Daracorrectreasoning.deduction.order-v2conf 100% · 121ms · $0.003 · 2831 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Chen. Farah is heavier than everyone here, but Farah is not being ranked. Dara is faster than Sami. Kira is faster than Chen. Liam is faster than Kira. Kira is faster than Sami. Mona is faster than Sami. Kira is faster than Dara. Chen is faster than Rosa. Mona is faster than Liam. 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:
Chenwrongreasoning.deduction.position-v1conf 95% · 748ms · $0.004 · 3993 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Jonas. Jonas is number 3 in the queue. Tessa is directly ahead of Chen. 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.position-v1conf 100% · 703ms · $0.001 · 594 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Ines. Ines is directly ahead of Quinn. Emil is number 1 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 100% · 153ms · $0.003 · 2499 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Quinn is heavier than Goran. Nadir is heavier than Sami. Quinn is heavier than Ola. Ola is heavier than Goran. Liam is older than everyone here, but Liam is not being ranked. Priya is heavier than Quinn. Sami is heavier than Kira. Priya is heavier than Sami. Goran is heavier than Nadir. Nadir is heavier than Kira. 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:
Olacorrectreasoning.deduction.position-v1conf 100% · 707ms · $0.001 · 499 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Hana. Alice is directly ahead of Nadir. Hana 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:
Hanacorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.002 · 2082 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Tessa. Rosa is older than Tessa. Hana is older than Priya. Priya is older than Ola. Hana is older than Ola. Ines is older than Rosa. Ola is older than Ines. Sami is heavier than everyone here, but Sami is not being ranked. Liam is older than Ines. Liam is older than Hana. 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:
Priyacorrectreasoning.deduction.order-v2conf 95% · 99ms · $0.004 · 3734 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Nadir is taller than Tessa. Mona is taller than Farah. Nadir is taller than Sami. Mona is taller than Bruno. Bruno is taller than Farah. Farah is taller than Nadir. Ines is older than everyone here, but Ines is not being ranked. Sami is taller than Tessa. Alice is taller than Mona. Farah is taller than Tessa. 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:
Farahcorrectreasoning.deduction.position-v1conf 100% · 154ms · $0.001 · 767 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Chen. Mona is number 1 in the queue. Chen is directly ahead of Ines. 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 152ms · $0.005 · 4644 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Chen. Chen is heavier than Liam. Mona is heavier than Bruno. Chen is heavier than Bruno. Liam is heavier than Bruno. Nadir is older than everyone here, but Nadir is not being ranked. Hana is heavier than Farah. Chen is heavier than Bruno. Kira is heavier than Hana. Liam is heavier than Mona. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.order-v2conf 100% · 729ms · $0.001 · 1201 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Goran is faster than Mona. Ola is faster than Alice. Mona is faster than Nadir. Kira is faster than Chen. Dara is older than everyone here, but Dara is not being ranked. Alice is faster than Goran. Chen is faster than Ola. Alice is faster than Nadir. Ola is faster than Mona. Kira is faster than Alice. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.position-v1conf 100% · 121ms · $0.000 · 371 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 4 in the queue. Quinn is directly ahead of Kira. Kira is directly ahead of Ines. Nadir is directly ahead of Quinn. 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 1.5s · $0.003 · 3104 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Nadir. Dara is older than everyone here, but Dara is not being ranked. Goran is taller than Priya. Tessa is taller than Bruno. Goran is taller than Tessa. Quinn is taller than Bruno. Tessa is taller than Farah. Nadir is taller than Quinn. Farah is taller than Quinn. Nadir is taller than Tessa. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.position-v1conf 100% · 728ms · $0.001 · 1163 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Rosa. Bruno is directly ahead of Goran. Goran is directly ahead of Priya. Rosa is number 4 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.position-v1conf 100% · 691ms · $0.002 · 1485 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 4 in the queue. Bruno is directly ahead of Liam. Liam is directly ahead of Jonas. Rosa is directly ahead of Bruno. 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:
Jonascorrectreasoning.deduction.order-v2conf 100% · 2.2s · $0.002 · 1875 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Jonas. Jonas is older than Mona. Ola is older than Dara. Ola is older than Ines. Dara is older than Ines. Mona is older than Ines. Ines is older than Priya. Dara is older than Priya. Quinn is older than Ola. Alice is faster than everyone here, but Alice is not being ranked. 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:
Inescorrectreasoning.deduction.position-v1conf 100% · 1.3s · $0.001 · 1217 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Rosa. Emil is directly ahead of Quinn. Rosa is directly ahead of Emil. Quinn is number 4 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.order-v2conf 100% · 1.3s · $0.001 · 1193 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Sami. Alice is faster than Farah. Ines is faster than Priya. Priya is faster than Alice. Jonas is taller than everyone here, but Jonas is not being ranked. Priya is faster than Quinn. Sami is faster than Quinn. Alice is faster than Sami. Quinn is faster than Rosa. Rosa is faster 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:
Alicecorrectreasoning.deduction.order-v2conf 100% · 731ms · $0.002 · 1827 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Goran is faster than Ola. Alice is faster than Ines. Sami is faster than Ola. Priya is taller than everyone here, but Priya is not being ranked. Goran is faster than Ines. Ola is faster than Alice. Kira is faster than Alice. Chen is faster than Kira. Goran is faster than Sami. Kira is faster than Goran. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.order-v2conf 100% · 862ms · $0.003 · 2327 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Alice. Mona is heavier than Priya. Nadir is older than everyone here, but Nadir is not being ranked. Mona is heavier than Farah. Hana is heavier than Tessa. Priya is heavier than Bruno. Alice is heavier than Farah. Priya is heavier than Farah. Tessa is heavier than Priya. Mona is heavier than Hana. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.position-v1conf 100% · 717ms · $0.000 · 409 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Mona. Alice is directly ahead of Kira. Quinn 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 760ms · $0.002 · 1461 tok
question
Four people stand in a queue (number 1 is the front). Alice is number 1 in the queue. Nadir is directly ahead of Hana. Chen is directly ahead of Nadir. 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.position-v1anchorconf 100% · 702ms · $0.001 · 747 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 112ms · $0.003 · 2597 tok
model answer:
Monacorrectreasoning.deduction.order-v2anchorconf 100% · 744ms · $0.002 · 1494 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 783ms · $0.000 · 365 tok
model answer:
Farahterminal 8/30 correct
correctterminal.exit.chain-v1conf 100% · 1.4s · $0.004 · 3198 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q dune notes.txt && echo C || echo D false && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
G
exit:1wrongterminal.pipeline.predict-v1conf 100% · 1.1s · $0.004 · 3476 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,ops,21,80 ned,ops,25,21 ivy,ops,22,38 eli,sales,66,95 max,eng,42,38 lou,sales,62,71 dev,ops,30,26 hal,sales,12,64 gus,ops,41,76 fay,sales,9,99 jon,ops,73,96 pam,eng,74,45 oli,hr,33,22 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.fs.tree-v1conf 100% · 156ms · $0.004 · 3730 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/logs`): ``` /proj/build/draft.md /proj/build/setup.md /proj/docs/todo.txt /proj/main.txt /proj/notes.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv notes.txt logs/ touch main-9.txt cd docs rm ../../proj/build/setup.md mv ../../proj/build/draft.md ../../proj/ cp ../../proj/draft.md ./ cd ../../proj/logs touch util-9.log rm ../../proj/docs/draft.md cd ../../proj/docs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/todo.txt
/proj/draft.md
/proj/logs/notes.txt
/proj/logs/util-9.log
/proj/main-9.txt
/proj/main.txtwrongterminal.exit.chain-v1conf 100% · 1.4s · $0.002 · 1964 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B false && echo C || echo D test -f ghost.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 768ms · $0.004 · 3472 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/logs`): ``` /proj/assets/setup.cfg /proj/assets/todo.log /proj/docs/index.txt /proj/notes.md /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm util.txt touch todo-8.cfg cd logs cp ../../proj/todo-8.cfg ../../proj/assets/ rm ../../proj/notes.md cp ../../proj/todo-8.cfg ../../proj/docs/ touch report-2.log mv ../../proj/todo-8.cfg ./ cp report-2.log ../../proj/docs/ 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:
(none extracted)correctterminal.fs.tree-v1conf 100% · 1.7s · $0.006 · 5839 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/build/todo.txt /proj/conf/util.log /proj/docs/report.log /proj/index.log /proj/setup.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm build/todo.txt cd docs mkdir -p logs-1 touch notes-6.log rm ../../proj/conf/util.log touch util-5.txt cd logs-1 cp ../../../proj/setup.txt ../../../proj/conf/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/setup.txt
/proj/docs/notes-6.log
/proj/docs/report.log
/proj/docs/util-5.txt
/proj/index.log
/proj/setup.txtwrongterminal.pipeline.predict-v1conf 100% · 431ms · $0.002 · 1395 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` oli,ops,37,33 dev,eng,9,28 jon,ops,18,39 kim,legal,55,78 ned,sales,54,21 max,legal,69,44 ivy,eng,41,51 bo,ops,46,35 gus,legal,26,57 hal,hr,35,83 ana,eng,16,24 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 1.3s · $0.002 · 1341 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B test -f data.txt && echo C || echo D test -f data.txt && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 1.0s · $0.005 · 4138 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/assets`): ``` /proj/conf/draft.cfg /proj/conf/main.md /proj/docs/todo.txt /proj/notes.cfg /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 mkdir -p conf/build-5 mv notes.cfg conf/build-5/ cd . rm conf/draft.cfg touch assets/main-6.txt cd . rm util.md touch conf/todo-9.cfg touch notes-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:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 1.3s · $0.004 · 3396 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 test -f tmp.txt && echo A || echo B test -f app.txt && echo C || echo D test -f tmp.txt && echo E || echo F grep -q coral notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 256ms · $0.003 · 2707 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
hal,hr,55,86
ned,sales,83,89
oli,ops,74,49
fay,legal,114,82
pam,ops,15,41
eli,ops,101,22
kim,ops,40,73
dev,sales,83,66
ivy,eng,115,75
cy,sales,118,91
max,legal,60,28
gus,ops,79,49
ana,hr,57,75
```
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:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 674ms · $0.002 · 1728 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,eng,57,75 kim,hr,72,43 bo,sales,75,26 ned,hr,22,32 dev,sales,111,64 ana,legal,31,95 jon,hr,103,89 cy,legal,11,15 pam,sales,49,72 max,eng,76,95 hal,legal,18,98 gus,hr,95,87 eli,hr,45,10 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' 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)wrongterminal.exit.chain-v1conf 100% · 1.4s · $0.001 · 1151 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, basil (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f data.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)TimeoutError: The operation was aborted due to timeoutterminal.exit.chain-v1conf — · — · — · — tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f ghost.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F true && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 1.8s · $0.004 · 4069 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B test -f ghost.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F grep -q basil notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)truncatedterminal.fs.tree-v1conf — · 174ms · $0.018 · 16384 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/assets`): ``` /proj/assets/notes.cfg /proj/assets/util.cfg /proj/docs/report.md /proj/main.md /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/report.md touch docs/report-2.txt rm main.md mkdir -p src/assets-2 cd docs cp report-2.txt ../../proj/src/assets-2/ mv report-2.txt setup-2.log rm setup-2.log cd ../../proj/src/assets-2 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 757ms · $0.002 · 1633 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
bo,sales,69,90
ana,sales,24,84
pam,sales,83,21
oli,eng,57,94
gus,hr,91,97
lou,hr,65,38
eli,sales,81,68
fay,eng,73,69
ivy,sales,12,31
ned,legal,26,90
max,sales,102,64
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 66 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctterminal.fs.tree-v1conf 100% · 727ms · $0.004 · 3458 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/logs`, `/proj/build`): ``` /proj/logs/report.log /proj/notes.log /proj/setup.md /proj/src/index.txt /proj/src/main.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-4 cd docs-4 cd ../../proj/build mkdir -p ../../proj/logs/build-5 cd ../../proj/src rm ../../proj/logs/report.log cd ../../proj mv setup.md notes-4.log touch logs/index-8.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/index-8.txt
/proj/notes-4.log
/proj/notes.log
/proj/src/index.txt
/proj/src/main.cfgcorrectterminal.pipeline.predict-v1conf 100% · 769ms · $0.001 · 951 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,legal,75,27
hal,sales,89,67
fay,sales,46,67
max,eng,75,53
kim,eng,114,60
ana,legal,104,23
eli,hr,4,14
bo,hr,69,41
oli,legal,28,28
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
207wrongterminal.fs.tree-v1conf 100% · 127ms · $0.005 · 4379 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/assets`, `/proj/build`): ``` /proj/assets/todo.log /proj/assets/util.txt /proj/build/draft.log /proj/index.md /proj/report.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p assets/assets-3 cd assets/assets-3 mv ../../../proj/build/draft.log ./ cd ../../../proj/assets rm ../../proj/index.md touch setup-2.log cd ../../proj/build mkdir -p ../../proj/assets/assets-3/logs-5 touch ../../proj/assets/report-4.txt touch ../../proj/assets/index-6.log cd ../../proj ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.pipeline.predict-v1conf 100% · 714ms · $0.001 · 932 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` bo,sales,92,84 kim,sales,69,78 eli,legal,98,67 jon,eng,61,50 dev,hr,66,13 fay,ops,73,49 pam,legal,59,80 ivy,ops,66,79 ana,sales,89,57 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
dev,hr,66,13wrongterminal.exit.chain-v1conf 100% · 947ms · $0.002 · 2131 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, dune (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D false && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.fs.tree-v1conf 100% · 125ms · $0.006 · 5863 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/src`, `/proj/conf`): ``` /proj/conf/main.log /proj/index.txt /proj/setup.cfg /proj/src/draft.md /proj/src/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 cp conf/main.log ./ mv main.log ./ rm src/notes.cfg mv main.log setup-2.cfg rm conf/main.log touch src/todo-2.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/index.txt
/proj/setup-2.cfg
/proj/setup.cfg
/proj/src/draft.md
/proj/src/todo-2.logcorrectterminal.exit.chain-v1conf 100% · 1.4s · $0.002 · 2031 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, basil (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f app.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F false && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
H
exit:1wrongterminal.pipeline.predict-v1conf 100% · 775ms · $0.001 · 1109 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,sales,99,73 lou,legal,74,85 jon,hr,7,40 cy,eng,8,88 bo,sales,100,18 pam,eng,99,51 oli,legal,97,61 kim,ops,11,29 hal,hr,35,91 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1anchorconf 100% · 925ms · $0.005 · 4397 tok
model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 121ms · $0.005 · 4223 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/docs`): ``` /proj/conf/setup.cfg /proj/docs/draft.md /proj/notes.md /proj/src/util.txt /proj/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch conf/util-7.cfg touch notes-8.md mkdir -p src/docs-1 cd conf rm util-7.cfg touch ../../proj/src/docs-1/util-8.txt mkdir -p ../../proj/assets-7 cd ../../proj/assets-7 mkdir -p ../../proj/docs/logs-8 cd ../../proj/docs mkdir -p ../../proj/src/docs-1/docs-4 cd ../../proj/src ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1anchorconf 100% · 857ms · $0.001 · 1202 tok
model answer:
(none extracted)wrongterminal.exit.chain-v1anchorconf 100% · 776ms · $0.002 · 1520 tok
model answer:
(none extracted)wrongterminal.pipeline.predict-v1anchorconf 100% · 868ms · $0.001 · 857 tok
model answer:
(none extracted)Run history
- 2026-08-05v0.2.0index_fit760
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