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MoonshotAI: Kimi K2.6
moonshotai/kimi-k2.6 · moonshotai · context 262 144 · in $0.589/1M · out $2.48/1M
Global Index
770
95% CI [687–853] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 1.4s | $1.07 | |
| math | 834 [677–991] | 0.723 | 1.00 | 1.00 | 0.000 | 1.2s | $3.31 | |
| multilingual | 818 [652–984] | 0.697 | 1.00 | 1.00 | 0.000 | 1.3s | $2.70 | |
| vision ocr | 703 [538–869] | 0.561 | 1.00 | 0.97 | 0.040 | 2.4s | $1.92 |
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 22/30 correct
correctagentic.tools.ledger-v1conf 100% · 174ms · $0.003 · 1248 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: $179
- bravo: $652
- tango: $504
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $513 from "kilo" to "bravo"
2. pay $198 from "kilo" to "bravo"
3. pay $537 from "bravo" to "tango"
4. pay $419 from "bravo" to "tango"
5. pay $513 from "tango" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 334}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 513}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 198}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 198}},
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 537}},
{"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 419}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 513}}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.triage-v1conf — · — · — · — tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → silva
- payments → rivera
- data → okafor
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 4)
2. "refund double-charged" (category: payments, priority 5)
3. "records missing after import" (category: data, priority 6)
4. "locked out after 2FA change" (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:
(none extracted)correctagentic.tools.context-load-v1conf 100% · 11.5s · $0.025 · 9095 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 (249 records, format: id|customer|region|item|qty|status):
```
1891|birch|south|cable|29|shipped
1495|ember|west|sensor|93|held
1871|cobalt|east|panel|90|paid
1558|gale|west|rotor|61|shipped
1288|acme|east|cable|50|paid
1574|acme|west|sensor|58|paid
1610|fulton|west|rotor|77|held
1731|dorian|west|panel|53|pending
1977|dorian|west|panel|47|pending
2183|ember|west|cable|20|pending
1515|dorian|north|valve|23|held
1302|acme|north|gasket|26|held
1857|birch|west|pump|65|held
1264|ember|south|panel|68|paid
1640|ionic|north|pump|76|shipped
1825|harbor|south|valve|33|paid
1961|gale|east|gasket|19|shipped
1784|dorian|west|gasket|49|paid
1493|birch|west|panel|58|paid
1238|ember|north|frame|79|pending
2118|gale|east|gasket|25|pending
1700|ionic|south|frame|50|pending
1766|ionic|north|panel|25|held
1940|ember|west|panel|40|shipped
1509|ionic|west|rotor|80|paid
1838|cobalt|west|cable|47|held
1551|juno|south|pump|59|shipped
1419|birch|south|valve|10|pending
1384|gale|east|gasket|35|paid
1208|ember|north|valve|70|paid
1929|juno|west|valve|67|pending
1561|harbor|south|rotor|57|pending
1724|birch|south|cable|48|paid
1349|acme|south|cable|35|held
1882|ionic|west|sensor|63|shipped
1463|harbor|west|valve|80|pending
2102|birch|east|panel|36|pending
2154|ionic|north|panel|10|held
1499|ionic|west|pump|64|shipped
2008|harbor|west|rotor|49|shipped
1958|gale|south|cable|12|pending
1524|birch|east|sensor|86|held
1521|cobalt|west|gasket|74|pending
1652|acme|north|pump|74|paid
1282|gale|south|pump|25|shipped
1701|ionic|south|panel|22|pending
2071|ionic|south|panel|38|pending
2049|fulton|west|rotor|12|paid
1828|cobalt|north|valve|90|shipped
1741|dorian|north|rotor|83|pending
1625|dorian|west|rotor|25|held
1954|fulton|north|pump|16|shipped
2195|harbor|south|valve|47|paid
1957|birch|west|rotor|56|held
1634|ember|west|pump|91|held
2132|dorian|west|valve|89|paid
1834|harbor|north|sensor|18|held
1970|fulton|west|valve|24|held
1835|fulton|south|cable|12|pending
1242|ember|south|rotor|58|pending
1877|ember|west|cable|50|shipped
2090|cobalt|east|gasket|40|paid
1894|dorian|south|gasket|58|pending
1986|ionic|west|rotor|66|shipped
1896|harbor|west|gasket|59|paid
1197|ember|north|gasket|42|pending
1340|gale|east|sensor|61|shipped
2005|birch|south|cable|37|held
2078|fulton|west|cable|97|pending
2061|harbor|north|valve|84|pending
1674|ember|east|frame|57|shipped
1681|gale|west|pump|82|shipped
1841|ionic|west|cable|91|pending
1344|birch|south|frame|88|pending
1479|dorian|north|sensor|19|shipped
1362|ionic|north|cable|47|held
2084|birch|south|gasket|42|paid
2056|birch|north|frame|58|held
1365|dorian|east|rotor|99|held
1585|ember|east|panel|68|shipped
1704|gale|south|cable|95|shipped
1546|birch|east|rotor|23|paid
2109|dorian|north|cable|68|held
1647|dorian|south|gasket|16|held
1536|fulton|south|panel|46|paid
1306|cobalt|north|rotor|21|pending
1657|cobalt|south|valve|15|held
1316|harbor|north|cable|78|paid
1389|fulton|east|panel|82|shipped
1438|ionic|south|panel|54|paid
1251|ember|north|frame|22|pending
1475|gale|north|cable|82|held
1309|birch|south|cable|11|held
1595|harbor|west|frame|78|held
2023|harbor|north|cable|14|held
1837|ember|south|pump|19|shipped
1791|ember|east|cable|79|pending
2030|ionic|north|sensor|99|pending
1671|birch|west|pump|87|paid
1927|ionic|south|gasket|77|pending
2087|juno|north|frame|82|held
1331|birch|west|sensor|43|shipped
1565|gale|north|gasket|10|paid
1483|juno|north|pump|76|pending
2142|ionic|north|pump|70|pending
1538|acme|south|pump|15|pending
1937|dorian|east|sensor|55|paid
2187|juno|south|gasket|67|paid
2133|birch|south|gasket|41|paid
2116|gale|west|valve|59|held
2179|fulton|south|cable|85|pending
1807|ember|south|pump|97|shipped
1554|ember|north|panel|65|paid
1769|dorian|south|pump|64|shipped
1417|acme|north|cable|10|paid
2021|ember|north|rotor|65|shipped
1580|harbor|south|gasket|79|paid
1229|ember|north|gasket|66|pending
1797|dorian|south|pump|72|held
2122|gale|east|cable|23|pending
2167|gale|south|cable|87|held
1468|ionic|east|frame|44|pending
1236|ember|north|gasket|93|shipped
2101|harbor|west|rotor|79|shipped
1586|juno|east|valve|30|held
1997|birch|west|panel|67|paid
1318|fulton|east|frame|16|shipped
2089|cobalt|east|frame|21|paid
1935|ionic|west|valve|22|pending
1210|ember|north|valve|79|pending
1571|acme|south|pump|34|held
1505|harbor|south|panel|64|pending
2126|ionic|north|panel|77|held
2018|cobalt|north|gasket|60|held
2145|ember|north|pump|45|paid
1363|ember|east|panel|46|shipped
1591|gale|south|rotor|40|held
1268|birch|west|pump|23|held
1750|acme|west|panel|18|held
1910|dorian|north|pump|62|paid
1516|juno|north|cable|43|pending
1817|birch|east|valve|44|shipped
1592|birch|east|valve|80|shipped
1903|gale|south|sensor|61|paid
1262|ember|north|frame|80|held
1737|juno|north|panel|67|pending
1861|juno|south|panel|34|shipped
1776|birch|south|rotor|95|held
1396|acme|east|cable|31|held
1651|birch|west|frame|90|paid
1814|dorian|north|gasket|73|shipped
2043|dorian|north|pump|60|paid
1301|ember|south|gasket|20|pending
1246|ember|north|cable|55|held
1808|acme|north|valve|89|shipped
2153|juno|north|sensor|65|held
1684|ember|south|gasket|11|held
1630|fulton|east|rotor|77|shipped
1752|juno|east|rotor|42|held
1446|gale|north|pump|78|pending
2173|harbor|south|pump|30|paid
1714|birch|north|pump|86|shipped
1304|birch|west|rotor|94|held
1659|ionic|east|rotor|79|held
1530|birch|south|frame|17|shipped
1587|acme|east|frame|61|pending
1708|ember|west|panel|55|shipped
1660|juno|east|cable|59|shipped
2190|ember|east|gasket|35|pending
2034|harbor|north|valve|23|held
1494|fulton|south|rotor|81|held
2160|dorian|north|cable|43|paid
2017|dorian|west|cable|59|paid
1689|acme|east|rotor|76|pending
2010|dorian|west|valve|37|held
2094|cobalt|south|panel|35|held
1686|juno|south|valve|93|shipped
1844|dorian|north|gasket|94|pending
1338|harbor|east|frame|79|pending
1377|acme|east|gasket|49|pending
1804|harbor|west|panel|18|held
1829|harbor|east|gasket|76|paid
1621|acme|west|rotor|84|paid
1444|dorian|south|gasket|19|shipped
2015|acme|east|frame|78|paid
1823|fulton|west|pump|50|pending
1694|juno|south|sensor|33|held
1687|ionic|north|gasket|32|held
1607|dorian|west|valve|93|pending
1849|fulton|east|frame|45|pending
1868|fulton|west|panel|53|pending
1294|dorian|north|pump|19|shipped
1759|harbor|north|panel|29|pending
1847|fulton|south|rotor|36|shipped
1456|ember|north|panel|34|paid
1217|ember|south|panel|55|pending
1777|acme|north|pump|89|pending
1356|ember|east|gasket|12|shipped
2041|cobalt|south|pump|28|pending
1425|dorian|west|rotor|86|shipped
1719|cobalt|west|frame|78|shipped
1451|acme|north|gasket|14|held
2123|dorian|east|gasket|59|held
1354|ember|south|sensor|39|held
1402|juno|south|frame|57|pending
1602|cobalt|south|gasket|81|shipped
1566|ionic|east|frame|68|pending
1560|acme|west|frame|15|held
2000|juno|west|valve|38|held
1410|birch|west|frame|76|pending
1324|harbor|north|pump|54|held
1851|ember|south|sensor|20|shipped
1233|ember|east|gasket|37|pending
1696|birch|west|rotor|44|paid
1966|harbor|west|sensor|59|held
1519|ember|east|frame|73|pending
1973|cobalt|east|rotor|14|shipped
2065|juno|west|gasket|59|paid
1447|acme|north|frame|29|held
1488|harbor|west|frame|77|pending
1947|birch|north|frame|15|shipped
1433|fulton|north|gasket|46|held
1570|juno|north|pump|64|shipped
1431|cobalt|south|sensor|12|held
1202|ember|south|valve|43|pending
2033|dorian|south|rotor|24|held
1224|ember|north|gasket|15|held
1256|ember|south|gasket|23|pending
1758|juno|north|sensor|60|shipped
1746|cobalt|north|pump|67|paid
1407|acme|east|gasket|21|shipped
1886|birch|east|frame|95|pending
1525|acme|north|gasket|74|held
1544|fulton|south|sensor|31|shipped
1917|gale|east|frame|66|held
1922|birch|south|pump|19|paid
2139|cobalt|west|sensor|18|pending
2055|harbor|south|rotor|11|pending
1617|birch|north|rotor|84|pending
1275|cobalt|south|pump|68|pending
1993|ember|east|valve|62|held
1319|ember|south|sensor|12|held
1550|cobalt|north|sensor|17|held
1666|juno|east|sensor|22|shipped
1371|ionic|north|rotor|65|shipped
1981|ember|south|gasket|34|shipped
2097|harbor|east|rotor|90|shipped
1785|gale|west|pump|18|pending
2152|harbor|west|panel|93|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "cancel_order", "args": {"order_id": 1197}},
{"tool": "restock", "args": {"item": "valve", "qty": 79}},
{"tool": "restock", "args": {"item": "gasket", "qty": 66}},
{"tool": "restock", "args": {"item": "frame", "qty": 79}},
{"tool": "cancel_order", "args": {"order_id": 1251}}
]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 (168 records, format: id|customer|region|item|qty|status):
```
1380|ember|east|panel|91|shipped
1366|juno|south|sensor|78|held
1531|juno|south|panel|70|held
1250|acme|south|rotor|50|shipped
1312|fulton|east|panel|60|pending
1581|ionic|north|sensor|90|pending
1667|fulton|south|rotor|36|pending
1196|acme|north|sensor|77|held
1416|birch|south|sensor|67|pending
1113|ionic|north|sensor|79|paid
1693|acme|west|rotor|26|held
1353|ember|east|gasket|45|paid
1490|gale|west|sensor|40|held
1470|fulton|east|pump|25|shipped
1582|fulton|south|frame|50|paid
1743|juno|east|pump|55|paid
1736|ember|south|frame|66|pending
1141|ionic|north|gasket|51|shipped
1502|fulton|east|frame|32|shipped
1386|fulton|west|frame|81|held
1369|gale|west|pump|96|held
1717|gale|east|cable|83|pending
1480|ember|west|panel|17|pending
1523|birch|south|sensor|33|held
1703|cobalt|south|cable|68|shipped
1121|ionic|west|pump|22|pending
1144|juno|south|frame|57|shipped
1161|ember|north|cable|95|pending
1497|juno|east|cable|22|paid
1269|ember|north|cable|25|shipped
1747|juno|west|panel|31|pending
1225|acme|east|valve|63|held
1439|fulton|west|valve|89|pending
1492|harbor|north|frame|90|paid
1160|ember|east|gasket|82|pending
1619|dorian|east|pump|27|shipped
1372|dorian|west|sensor|19|held
1617|ember|south|rotor|80|held
1305|acme|north|panel|85|pending
1336|acme|north|panel|78|held
1136|ionic|south|frame|99|pending
1322|cobalt|east|valve|49|held
1558|birch|north|gasket|58|held
1471|fulton|south|cable|42|held
1084|ionic|north|cable|96|pending
1300|cobalt|south|panel|58|shipped
1178|fulton|west|frame|41|pending
1664|acme|south|valve|15|held
1453|juno|south|panel|52|pending
1681|acme|north|panel|97|shipped
1509|fulton|north|pump|62|held
1641|ionic|west|panel|24|shipped
1657|birch|west|gasket|50|pending
1670|gale|west|valve|71|pending
1220|gale|south|frame|57|paid
1726|juno|south|frame|79|pending
1276|fulton|east|sensor|64|held
1338|juno|east|gasket|51|paid
1562|gale|west|gasket|79|paid
1629|harbor|west|sensor|86|held
1545|acme|west|panel|80|held
1410|juno|west|panel|34|paid
1518|harbor|west|sensor|14|held
1539|ionic|east|frame|56|pending
1677|gale|east|sensor|26|pending
1330|dorian|east|sensor|75|held
1245|birch|north|gasket|70|shipped
1296|cobalt|south|cable|13|pending
1151|cobalt|south|cable|93|shipped
1616|gale|north|sensor|18|shipped
1134|ionic|north|cable|71|pending
1537|birch|south|gasket|96|shipped
1119|ionic|north|panel|20|pending
1440|birch|south|rotor|32|shipped
1607|harbor|east|sensor|93|held
1104|ionic|north|panel|76|pending
1352|ember|south|panel|10|shipped
1433|fulton|north|sensor|55|held
1472|cobalt|east|gasket|37|pending
1396|cobalt|east|rotor|73|pending
1633|fulton|west|valve|43|held
1238|juno|east|valve|91|pending
1186|ionic|east|gasket|89|held
1515|birch|north|gasket|78|pending
1599|juno|west|sensor|57|held
1553|fulton|west|gasket|21|paid
1446|acme|east|panel|34|paid
1251|dorian|west|rotor|98|shipped
1680|dorian|north|panel|36|held
1595|ember|north|cable|75|held
1644|ember|west|valve|26|held
1297|harbor|west|sensor|69|held
1602|gale|south|gasket|19|shipped
1128|ionic|north|pump|70|shipped
1091|ionic|west|pump|89|pending
1263|ionic|south|rotor|41|shipped
1530|birch|east|panel|35|paid
1393|juno|east|panel|53|paid
1223|ember|south|panel|62|held
1460|juno|east|pump|30|pending
1442|ember|west|panel|13|pending
1232|birch|north|pump|48|pending
1239|ember|west|cable|72|held
1427|birch|north|sensor|85|held
1637|cobalt|north|panel|32|pending
1193|harbor|east|panel|20|shipped
1327|dorian|south|sensor|84|paid
1622|acme|north|sensor|22|paid
1172|juno|east|rotor|25|pending
1443|gale|north|panel|69|pending
1358|juno|east|gasket|43|held
1257|gale|east|valve|12|shipped
1683|acme|west|gasket|76|held
1612|dorian|east|pump|83|paid
1333|birch|west|gasket|15|paid
1429|harbor|east|rotor|83|pending
1329|cobalt|north|cable|97|held
1182|acme|west|rotor|83|held
1359|harbor|west|cable|91|held
1401|fulton|south|cable|92|paid
1729|gale|north|gasket|31|shipped
1318|birch|east|frame|21|shipped
1214|harbor|east|rotor|68|paid
1696|fulton|west|pump|23|paid
1707|cobalt|south|gasket|44|pending
1203|ember|north|panel|76|shipped
1520|juno|south|panel|42|pending
1385|birch|north|gasket|77|pending
1712|gale|east|panel|90|paid
1163|fulton|south|rotor|75|paid
1328|ember|east|rotor|21|shipped
1314|ionic|west|panel|67|shipped
1375|acme|east|gasket|29|pending
1543|ember|south|rotor|14|pending
1207|ember|north|sensor|82|paid
1291|fulton|south|pump|31|shipped
1406|birch|south|rotor|91|pending
1601|juno|east|sensor|33|pending
1464|harbor|east|gasket|80|paid
1626|fulton|east|gasket|83|shipped
1421|harbor|west|rotor|97|paid
1106|ionic|east|panel|43|pending
1444|cobalt|south|rotor|34|held
1154|dorian|south|panel|60|shipped
1692|ember|west|rotor|24|shipped
1574|ionic|east|pump|75|pending
1279|gale|south|gasket|75|held
1650|cobalt|south|rotor|15|held
1725|fulton|west|pump|81|pending
1682|acme|south|cable|74|shipped
1606|juno|east|panel|90|shipped
1634|cobalt|south|pump|89|shipped
1345|juno|south|panel|43|held
1097|ionic|north|frame|98|shipped
1379|cobalt|north|frame|43|shipped
1702|fulton|west|valve|14|held
1566|dorian|west|frame|90|held
1474|ember|north|rotor|37|held
1573|acme|north|frame|20|paid
1588|cobalt|south|cable|48|held
1284|gale|west|gasket|79|shipped
1166|ember|east|rotor|78|pending
1748|ember|west|cable|16|held
1678|harbor|south|sensor|76|shipped
1487|ionic|north|cable|34|pending
1719|gale|south|rotor|84|pending
1547|fulton|east|pump|12|shipped
1685|dorian|east|frame|41|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 45, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 285ms · $0.002 · 761 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: billing, gateway
- billing: gateway
- reports: gateway, search
- gateway: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.triage-v1conf 100% · 2.5s · $0.006 · 2416 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 → chen
- infra → silva
- data → okafor
INCIDENTS:
1. "refund double-charged" (category: payments, priority 3)
2. "uploads failing intermittently" (category: infra, priority 8)
3. "dashboard shows stale numbers" (category: data, priority 2)
4. "uploads failing intermittently" (category: infra, 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": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.ledger-v1conf 100% · 2.8s · $0.003 · 1176 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: $755
- bravo: $562
- echo: $435
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $541 from "bravo" to "kilo"
2. pay $482 from "bravo" to "kilo"
3. pay $513 from "kilo" to "bravo"
4. pay $368 from "kilo" to "bravo"
5. pay $346 from "bravo" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 541}},
{"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 461}},
{"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 482}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 513}},
{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 368}},
{"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 346}}
]correctagentic.tools.deploy-v1conf 100% · 1.3s · $0.004 · 1384 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: (none)
- reports: billing, search
- search: billing
- gateway: billing, 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 "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.triage-v1conf — · — · — · — 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 → okafor
- auth → haddad
- payments → tanaka
INCIDENTS:
1. "records missing after import" (category: data, priority 3)
2. "cannot reset password" (category: auth, priority 2)
3. "cannot reset password" (category: auth, 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:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 240ms · $0.004 · 1528 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: $174
- delta: $374
- lima: $763
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $155 from "delta" to "tango"
2. pay $544 from "tango" to "delta"
3. pay $158 from "tango" to "lima"
4. pay $407 from "lima" to "tango"
5. pay $576 from "tango" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 155}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 215}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 544}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 158}},
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 158}},
{"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 407}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 169}},
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 576}}
]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 (208 records, format: id|customer|region|item|qty|status):
```
1778|cobalt|north|panel|24|paid
2169|dorian|east|pump|20|paid
2267|juno|east|panel|69|paid
1808|cobalt|north|panel|80|held
1990|cobalt|south|valve|52|pending
1818|juno|south|sensor|30|shipped
2004|ionic|east|panel|18|held
2162|cobalt|north|panel|94|held
1961|ionic|east|panel|48|paid
1743|ionic|north|rotor|30|paid
2095|cobalt|south|rotor|66|held
2063|dorian|west|gasket|62|paid
1913|cobalt|east|panel|36|held
1664|birch|east|sensor|56|pending
2110|birch|west|sensor|88|shipped
2143|acme|north|sensor|95|paid
1848|juno|south|sensor|44|held
1574|harbor|west|gasket|69|held
1771|cobalt|west|rotor|80|shipped
2181|dorian|south|sensor|18|pending
1595|gale|east|gasket|14|shipped
1843|juno|west|valve|25|held
1531|ionic|west|rotor|20|shipped
2068|ionic|south|pump|97|pending
1886|fulton|south|panel|54|shipped
1647|juno|west|cable|42|pending
1659|fulton|south|rotor|65|pending
1634|ionic|west|cable|94|held
2135|ionic|east|cable|49|shipped
2075|harbor|north|gasket|15|shipped
1863|gale|west|cable|61|pending
2022|ember|north|pump|84|pending
1899|cobalt|east|sensor|23|paid
1995|birch|south|cable|46|pending
1750|gale|south|valve|93|paid
1678|fulton|west|panel|24|shipped
2150|acme|east|panel|66|paid
1658|ember|east|gasket|19|shipped
1821|gale|north|cable|28|shipped
2225|harbor|north|rotor|37|shipped
1878|fulton|west|sensor|85|paid
1618|juno|south|sensor|87|pending
1952|fulton|north|cable|36|pending
1756|gale|east|valve|76|paid
1976|dorian|east|cable|73|shipped
1563|gale|east|cable|31|pending
1489|dorian|east|frame|94|pending
1764|harbor|south|valve|67|held
1914|acme|north|gasket|40|held
2235|fulton|south|rotor|25|shipped
1601|fulton|north|gasket|58|shipped
1731|ember|north|frame|13|paid
1479|dorian|east|pump|20|shipped
1716|ionic|east|cable|78|shipped
1496|dorian|south|rotor|99|pending
2062|fulton|north|gasket|76|held
2103|juno|east|gasket|71|held
2172|juno|north|rotor|58|paid
1651|birch|east|sensor|93|paid
1840|acme|east|gasket|82|shipped
2101|harbor|west|rotor|54|held
2300|ionic|north|pump|12|shipped
2242|ionic|west|sensor|19|paid
1933|dorian|south|cable|18|pending
2087|juno|south|frame|42|held
1966|cobalt|west|frame|32|shipped
1722|gale|east|cable|91|held
1860|fulton|east|frame|97|shipped
2285|acme|west|rotor|65|held
2200|cobalt|west|sensor|57|paid
1693|gale|east|sensor|56|shipped
2037|dorian|east|rotor|82|paid
1895|cobalt|south|cable|82|shipped
1920|ember|west|valve|87|pending
1656|ember|south|frame|91|held
1936|cobalt|south|valve|65|shipped
2207|dorian|north|gasket|38|shipped
1534|gale|east|panel|80|shipped
2279|cobalt|north|rotor|90|shipped
1549|cobalt|east|gasket|91|shipped
1580|cobalt|west|frame|79|shipped
2282|ember|west|panel|66|held
1508|acme|north|gasket|45|held
1674|gale|north|sensor|48|paid
1552|cobalt|north|sensor|80|shipped
1833|acme|north|rotor|60|pending
1791|fulton|east|valve|76|paid
1983|ionic|west|panel|39|paid
2138|fulton|east|pump|13|pending
2261|dorian|east|sensor|26|shipped
1991|harbor|south|gasket|86|shipped
2009|birch|north|rotor|17|held
1941|juno|north|rotor|95|shipped
1715|harbor|east|rotor|36|shipped
1539|birch|west|pump|59|held
1819|dorian|south|panel|98|pending
2047|acme|north|sensor|54|held
1665|cobalt|west|sensor|22|held
1984|acme|south|pump|48|pending
2043|ember|south|gasket|97|shipped
2014|cobalt|west|valve|76|shipped
1928|acme|north|gasket|58|held
2151|gale|west|rotor|10|pending
2052|fulton|west|rotor|28|paid
1543|ember|east|cable|97|pending
2272|birch|south|rotor|42|pending
1904|dorian|west|pump|70|paid
1879|birch|south|pump|79|shipped
1856|juno|north|pump|58|pending
2124|dorian|west|gasket|12|held
1640|juno|east|panel|58|paid
2080|harbor|west|cable|87|shipped
1859|gale|east|rotor|70|paid
1997|gale|west|cable|67|shipped
1795|acme|north|pump|94|shipped
1478|dorian|west|cable|91|pending
2091|acme|north|rotor|10|paid
1787|acme|north|panel|58|held
1459|dorian|east|pump|83|pending
1466|dorian|west|valve|75|pending
2117|fulton|east|valve|45|shipped
2218|dorian|south|frame|91|paid
2297|juno|east|panel|97|pending
2178|birch|east|pump|85|shipped
1471|dorian|east|panel|63|pending
1744|dorian|north|valve|38|held
1703|gale|north|rotor|23|pending
1697|ember|south|valve|94|paid
2155|ionic|east|pump|52|pending
2035|cobalt|east|pump|55|held
1524|cobalt|south|panel|51|shipped
1980|juno|south|cable|77|paid
2213|harbor|east|sensor|85|paid
1482|dorian|west|sensor|90|pending
2158|juno|east|rotor|41|paid
1510|juno|east|frame|58|shipped
1621|acme|west|panel|73|shipped
2229|dorian|east|panel|21|paid
2301|fulton|west|rotor|74|shipped
2048|acme|west|valve|46|paid
2126|harbor|north|rotor|93|held
2243|dorian|east|sensor|10|held
2056|dorian|south|panel|68|held
1499|dorian|east|cable|84|held
1849|acme|south|gasket|65|held
1869|juno|east|valve|71|paid
1535|gale|south|gasket|69|shipped
2127|acme|south|pump|60|pending
1480|dorian|east|frame|16|pending
1710|gale|west|sensor|74|shipped
1745|harbor|east|panel|83|held
2250|juno|east|frame|25|paid
2212|juno|west|pump|41|pending
1973|juno|south|frame|39|shipped
1910|harbor|south|panel|21|held
2020|gale|west|gasket|93|pending
2029|dorian|west|pump|51|held
1583|juno|west|panel|29|pending
1668|birch|north|pump|52|shipped
1559|juno|south|pump|31|held
1894|acme|west|sensor|15|held
1590|gale|north|frame|58|paid
1486|dorian|east|gasket|22|paid
1467|dorian|east|cable|52|held
2254|ember|east|rotor|90|paid
1925|ionic|east|cable|32|paid
1782|harbor|east|cable|39|held
1684|cobalt|west|pump|88|shipped
1558|ember|north|valve|87|paid
1954|dorian|south|pump|97|pending
2205|harbor|south|frame|12|paid
1569|fulton|west|panel|30|shipped
1501|dorian|east|sensor|66|held
1759|cobalt|west|pump|26|held
1816|acme|east|pump|29|held
2278|ionic|south|pump|54|held
2204|birch|south|panel|66|paid
1606|acme|west|valve|72|held
2223|birch|west|panel|49|pending
2194|ionic|east|frame|19|pending
1686|acme|east|sensor|56|pending
1946|birch|north|frame|41|shipped
1827|ionic|west|sensor|12|shipped
1605|juno|west|sensor|87|paid
2291|birch|north|panel|41|paid
1740|harbor|north|cable|38|pending
1890|cobalt|north|pump|55|pending
2228|birch|west|gasket|60|paid
2227|gale|north|gasket|55|shipped
2094|ionic|south|gasket|66|paid
1736|birch|west|sensor|32|held
2195|gale|north|gasket|19|held
2131|ionic|north|sensor|95|paid
1627|juno|west|panel|24|pending
1781|harbor|south|cable|79|pending
1566|gale|south|gasket|58|shipped
2188|cobalt|south|panel|55|shipped
1957|juno|south|panel|73|pending
1812|harbor|west|frame|11|shipped
1612|ember|north|frame|60|shipped
1517|fulton|west|gasket|84|held
1557|fulton|north|panel|20|shipped
1874|harbor|south|panel|44|paid
1570|dorian|north|sensor|72|paid
1729|acme|west|frame|50|shipped
1802|fulton|south|sensor|48|shipped
2159|ionic|north|frame|40|paid
1763|fulton|south|cable|49|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.triage-v1conf 100% · 713ms · $0.009 · 3414 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
- payments → novak
- data → haddad
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 4)
2. "uploads failing intermittently" (category: infra, priority 4)
3. "dashboard shows stale numbers" (category: data, priority 2)
4. "webhooks not delivered" (category: infra, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{" tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 4}},
{" tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{" tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 4}},
{" 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": "haddad"}},
{" tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 9}},
{" tool": "escalate", "args": {"ticket_id": "TCK-4"}},
{" tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}}
]correctagentic.tools.deploy-v1conf 100% · 262ms · $0.002 · 905 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: search
- reports: gateway, search
- search: (none)
- billing: 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": "search"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1conf 100% · 1.5s · $0.004 · 1313 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: $513
- tango: $201
- oscar: $121
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $555 from "oscar" to "tango"
2. pay $335 from "oscar" to "lima"
3. pay $507 from "tango" to "oscar"
4. pay $112 from "oscar" to "lima"
5. pay $136 from "oscar" 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": "oscar", "amount": 434}},
{"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 555}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 335}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 335}},
{"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 507}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 112}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 136}}
]TimeoutError: The operation was aborted due to timeoutagentic.tools.triage-v1conf — · — · — · — 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 → okafor
- payments → tanaka
- infra → novak
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "card declined at checkout" (category: payments, priority 2)
3. "card declined at checkout" (category: payments, priority 2)
4. "dashboard shows stale numbers" (category: data, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.context-load-v1conf 100% · 282ms · $0.024 · 8653 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 (237 records, format: id|customer|region|item|qty|status):
```
2080|gale|south|frame|22|pending
2157|harbor|east|cable|35|paid
2162|ionic|north|cable|65|paid
2115|dorian|north|sensor|49|shipped
1564|harbor|west|cable|24|pending
1614|cobalt|north|pump|40|shipped
1706|cobalt|south|valve|51|paid
1572|fulton|south|valve|47|paid
1632|birch|south|valve|86|pending
2104|harbor|north|rotor|26|paid
1419|juno|north|panel|33|paid
2098|acme|north|gasket|87|held
1377|ember|north|sensor|21|shipped
1805|gale|north|valve|70|pending
1660|dorian|south|sensor|67|pending
1971|juno|east|rotor|73|held
1415|juno|east|sensor|73|paid
2211|ionic|east|cable|92|held
1503|ionic|west|pump|66|pending
1799|birch|south|rotor|90|shipped
1733|cobalt|south|sensor|10|pending
1792|ember|south|panel|68|paid
1994|ember|east|rotor|68|held
1928|juno|south|pump|12|pending
2119|cobalt|west|frame|71|shipped
1623|fulton|west|sensor|16|paid
2156|ember|north|pump|96|held
1696|birch|north|valve|76|paid
2092|cobalt|west|pump|59|pending
1429|acme|north|sensor|77|held
1870|cobalt|north|frame|86|held
2066|birch|west|pump|61|paid
1396|ionic|south|sensor|50|pending
1601|birch|north|valve|61|pending
1716|juno|north|gasket|94|paid
1838|fulton|west|cable|84|shipped
1707|ionic|east|pump|41|shipped
1334|ember|north|pump|45|paid
1961|fulton|east|panel|35|held
1446|gale|north|valve|24|pending
2160|dorian|north|cable|95|held
1571|ionic|west|panel|24|pending
1692|dorian|south|panel|83|held
1967|birch|east|cable|18|pending
2194|ember|south|pump|18|shipped
1703|fulton|west|valve|74|pending
1880|dorian|west|pump|17|paid
1537|dorian|west|rotor|47|held
1646|birch|west|panel|58|pending
1785|ionic|north|sensor|60|paid
2233|ionic|north|pump|70|shipped
1329|ember|north|pump|39|pending
1403|birch|north|valve|44|pending
1591|ember|south|gasket|70|pending
2164|fulton|east|cable|42|shipped
1803|fulton|west|pump|81|held
1866|fulton|north|sensor|49|shipped
2046|gale|north|sensor|94|held
1797|juno|south|valve|92|pending
2008|gale|south|pump|21|paid
1552|dorian|north|valve|76|paid
1323|ember|east|frame|22|pending
2059|birch|north|rotor|34|paid
1535|juno|north|gasket|19|paid
1365|ember|south|cable|12|pending
1500|ionic|east|panel|16|pending
1764|cobalt|west|gasket|97|paid
1939|ionic|west|rotor|53|pending
1897|cobalt|east|cable|21|held
1977|fulton|south|valve|40|held
1657|birch|south|panel|14|pending
1453|acme|east|frame|40|shipped
1381|ember|north|panel|25|shipped
1404|juno|west|frame|65|held
2002|ember|south|valve|91|held
2188|ionic|south|gasket|17|shipped
1714|cobalt|west|sensor|39|shipped
1444|cobalt|west|pump|32|paid
1850|cobalt|east|gasket|68|held
1956|dorian|west|pump|97|shipped
2184|harbor|west|rotor|40|shipped
1670|acme|south|cable|73|paid
1358|ember|north|sensor|23|shipped
1450|ember|south|sensor|81|pending
1817|birch|north|valve|69|paid
1421|juno|north|rotor|29|pending
1520|harbor|east|rotor|93|paid
2140|cobalt|north|gasket|25|held
1392|harbor|north|rotor|83|held
1413|birch|south|cable|45|shipped
1989|ember|east|pump|70|held
1739|birch|south|valve|59|shipped
2218|fulton|east|cable|92|shipped
1351|ember|north|rotor|60|pending
1723|cobalt|west|pump|21|paid
1937|birch|west|pump|39|held
1534|ember|east|frame|23|pending
1510|gale|west|pump|30|shipped
1512|cobalt|west|panel|73|pending
1436|ember|south|rotor|44|held
1690|harbor|north|cable|88|paid
1687|ember|west|cable|50|shipped
1980|ionic|west|pump|77|pending
1476|ember|south|rotor|92|paid
1982|birch|east|cable|74|pending
1613|juno|west|pump|94|held
1858|dorian|east|valve|58|held
2095|dorian|west|cable|60|pending
1767|acme|north|sensor|23|pending
1482|dorian|north|frame|94|paid
1998|dorian|north|gasket|33|pending
1929|birch|west|valve|70|shipped
2221|juno|north|gasket|96|paid
2105|juno|north|valve|39|pending
2235|ionic|south|valve|65|pending
1882|ember|north|valve|65|held
2071|dorian|south|gasket|81|held
1835|fulton|east|rotor|83|shipped
1335|ember|north|panel|95|pending
2027|juno|north|sensor|55|pending
1744|ember|west|panel|86|pending
1913|cobalt|east|frame|99|pending
1459|ember|west|gasket|96|held
2200|fulton|south|valve|56|pending
1408|dorian|north|gasket|31|pending
1676|harbor|north|gasket|28|paid
2126|acme|north|cable|48|pending
2215|juno|south|panel|45|paid
1386|dorian|east|panel|65|pending
1919|dorian|north|frame|98|pending
1892|fulton|west|cable|10|pending
2070|juno|west|pump|84|shipped
1924|harbor|east|rotor|27|held
2147|fulton|south|valve|86|pending
2040|ember|south|gasket|42|paid
1773|juno|north|cable|87|shipped
1448|dorian|east|cable|24|pending
1427|gale|east|gasket|12|shipped
2108|dorian|south|panel|77|pending
2179|fulton|west|pump|67|held
1579|juno|north|gasket|63|pending
1525|fulton|north|sensor|68|pending
2085|harbor|north|cable|14|paid
2226|fulton|east|frame|93|pending
1729|ember|south|cable|47|held
1402|fulton|north|cable|86|pending
2087|cobalt|west|frame|39|paid
1678|harbor|east|rotor|47|paid
1438|birch|west|panel|93|shipped
1542|harbor|west|frame|11|shipped
2011|juno|north|gasket|18|paid
1493|gale|north|valve|38|shipped
2072|harbor|east|gasket|70|paid
1910|gale|east|sensor|89|paid
2127|harbor|south|frame|36|shipped
2088|ember|south|panel|19|shipped
1472|birch|east|valve|40|pending
1466|fulton|west|sensor|55|held
1653|birch|east|valve|91|held
1821|juno|north|cable|55|paid
1515|cobalt|east|cable|61|paid
1809|cobalt|south|valve|59|paid
1831|ionic|south|cable|98|shipped
1736|harbor|north|gasket|99|paid
1326|ember|north|frame|31|shipped
2174|ember|west|cable|47|paid
2240|cobalt|south|pump|65|held
1621|fulton|north|rotor|32|shipped
1963|cobalt|east|frame|82|held
2031|fulton|north|gasket|59|paid
1877|ionic|north|rotor|77|pending
2035|gale|south|valve|44|shipped
1558|acme|north|frame|70|paid
1957|gale|west|rotor|60|shipped
1586|harbor|west|sensor|83|held
1354|ember|east|rotor|96|pending
2133|fulton|north|sensor|34|shipped
1985|cobalt|west|rotor|56|shipped
1898|dorian|east|gasket|75|paid
1667|acme|south|gasket|33|pending
1424|harbor|east|rotor|66|pending
1504|harbor|west|pump|77|held
1951|fulton|north|valve|28|shipped
1680|acme|north|rotor|95|held
1344|ember|north|panel|74|paid
2206|birch|north|sensor|85|paid
1643|harbor|west|gasket|25|pending
2173|ionic|east|sensor|76|held
1536|ionic|south|valve|55|shipped
2021|fulton|south|sensor|15|held
1852|ionic|west|panel|43|shipped
1780|cobalt|south|rotor|45|pending
1530|acme|east|rotor|92|paid
2010|ionic|east|rotor|55|held
1718|ember|east|rotor|28|pending
1841|fulton|east|panel|67|held
1370|ember|north|pump|46|held
1816|birch|west|valve|27|pending
1598|birch|south|cable|43|paid
1934|birch|west|pump|26|held
1824|gale|north|valve|67|shipped
1620|birch|south|rotor|15|held
1484|ionic|south|rotor|21|held
1984|harbor|west|panel|69|pending
2079|birch|west|panel|76|pending
1751|harbor|south|pump|96|shipped
1851|dorian|north|rotor|10|held
1606|acme|south|valve|38|held
1333|ember|east|rotor|72|pending
2089|birch|south|sensor|13|pending
1659|harbor|west|panel|58|pending
1439|juno|south|rotor|95|paid
2151|harbor|south|sensor|74|shipped
1513|birch|south|frame|85|pending
1359|ember|north|cable|15|pending
1619|ionic|north|gasket|24|shipped
1548|cobalt|north|cable|18|shipped
1340|ember|south|frame|57|pending
1886|fulton|south|valve|26|shipped
1946|ember|east|panel|71|shipped
2121|acme|south|sensor|36|held
1861|birch|south|pump|32|held
1807|birch|east|cable|63|paid
2037|juno|west|gasket|57|paid
2166|fulton|south|gasket|74|paid
1488|harbor|west|pump|58|paid
1970|ionic|north|cable|14|shipped
1625|harbor|south|sensor|11|pending
1757|cobalt|east|panel|23|pending
1609|cobalt|north|panel|24|paid
1322|ember|north|cable|60|pending
1903|ember|east|valve|99|paid
2053|cobalt|east|pump|94|held
2017|acme|west|panel|20|paid
2045|ionic|west|sensor|32|paid
1639|harbor|west|pump|73|shipped
1847|harbor|east|gasket|89|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "cable", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1329}},
{"tool": "restock", "args": {"item": "panel", "qty": 95}},
{"tool": "restock", "args": {"item": "rotor", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1359}}
]correctagentic.tools.context-load-v1conf 100% · 926ms · $0.021 · 7576 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 (269 records, format: id|customer|region|item|qty|status):
```
1725|acme|west|pump|45|held
1921|birch|east|valve|36|held
2057|fulton|north|pump|13|shipped
2208|ember|south|valve|52|shipped
1632|ionic|east|gasket|53|shipped
1896|birch|east|sensor|15|held
1832|cobalt|west|gasket|10|paid
2197|cobalt|south|gasket|45|shipped
1688|cobalt|east|frame|31|pending
2162|juno|north|gasket|35|shipped
1617|cobalt|south|rotor|62|shipped
2328|cobalt|north|cable|69|paid
1824|ember|west|sensor|42|paid
1463|ionic|north|frame|15|pending
1562|gale|north|frame|25|held
2427|acme|north|valve|75|held
1790|ionic|west|cable|32|shipped
2060|ember|west|gasket|33|paid
2471|birch|south|cable|19|shipped
2227|ionic|north|rotor|33|paid
2037|acme|north|rotor|26|pending
1601|ember|north|sensor|63|paid
1798|juno|west|pump|60|held
1668|cobalt|south|rotor|37|pending
2078|acme|north|panel|26|paid
1546|ionic|north|rotor|48|shipped
2282|acme|south|sensor|14|pending
2142|birch|south|valve|62|paid
2212|juno|west|gasket|87|pending
2176|birch|south|panel|72|held
1883|dorian|east|frame|98|held
1914|dorian|south|pump|95|pending
2369|ember|east|cable|67|held
1647|ionic|north|panel|66|held
2476|fulton|east|frame|52|shipped
2396|acme|east|pump|44|pending
2423|gale|north|valve|68|held
1582|gale|east|pump|36|pending
2461|acme|north|cable|87|paid
2487|birch|north|panel|90|paid
2186|fulton|west|pump|95|paid
2406|gale|west|gasket|36|held
1727|dorian|east|rotor|53|held
2466|gale|east|frame|71|held
1756|harbor|north|cable|92|held
1568|gale|east|rotor|62|shipped
1509|fulton|east|pump|23|pending
2052|birch|west|gasket|81|paid
1957|juno|east|rotor|41|paid
1864|gale|north|sensor|23|held
1717|gale|north|valve|47|shipped
1691|dorian|east|gasket|58|pending
2417|acme|north|sensor|87|paid
1862|gale|east|rotor|78|pending
2180|juno|south|gasket|23|paid
1931|juno|south|panel|13|shipped
2222|gale|west|panel|85|pending
1989|acme|south|sensor|38|held
1792|dorian|west|sensor|14|pending
2450|harbor|south|rotor|97|paid
2108|acme|north|gasket|62|shipped
2529|ionic|north|cable|32|pending
1856|dorian|south|cable|55|paid
2332|juno|north|sensor|20|paid
2156|juno|east|valve|72|held
2349|juno|south|rotor|53|held
1935|juno|east|gasket|28|pending
1865|cobalt|south|panel|87|paid
2405|birch|west|panel|82|paid
2537|gale|east|gasket|77|shipped
1933|harbor|north|frame|93|shipped
1697|gale|east|gasket|71|shipped
1838|ionic|south|pump|32|paid
1521|gale|south|cable|85|shipped
2217|juno|east|rotor|21|pending
2169|acme|north|pump|74|held
1708|acme|east|valve|77|paid
1588|harbor|south|sensor|22|paid
2550|fulton|west|gasket|74|shipped
2294|gale|east|sensor|72|paid
1707|fulton|west|sensor|14|paid
2262|acme|west|cable|77|shipped
1706|cobalt|west|frame|93|paid
1839|ionic|east|cable|51|held
2530|gale|north|gasket|85|shipped
2362|juno|west|valve|68|pending
2533|birch|south|panel|45|paid
2490|dorian|south|pump|75|held
2135|ember|south|gasket|42|paid
1857|juno|west|frame|69|shipped
1470|ionic|south|pump|89|shipped
2433|dorian|north|gasket|72|held
1945|ember|north|valve|49|held
2308|dorian|west|valve|55|paid
1734|gale|south|panel|50|shipped
2518|ember|west|cable|76|held
2300|juno|north|panel|89|shipped
1851|acme|south|valve|45|held
1964|gale|south|valve|68|held
1454|ionic|north|frame|89|pending
1571|cobalt|south|frame|95|shipped
2254|juno|east|valve|34|paid
1643|dorian|west|valve|79|pending
1996|ember|west|gasket|33|pending
2443|ionic|south|gasket|19|pending
2018|ember|west|rotor|36|shipped
2008|birch|west|rotor|42|held
1748|dorian|south|valve|17|paid
2310|gale|north|rotor|37|paid
2400|ember|north|valve|32|held
2519|acme|west|rotor|97|shipped
2049|birch|south|frame|12|paid
2464|ionic|north|rotor|79|shipped
2498|cobalt|east|pump|15|paid
1540|harbor|south|panel|62|held
2531|dorian|east|rotor|71|pending
1826|fulton|west|gasket|13|paid
2497|birch|north|rotor|63|pending
1869|harbor|east|pump|52|paid
2023|ember|west|sensor|64|paid
1782|dorian|south|frame|91|shipped
2097|fulton|east|pump|26|paid
2547|acme|west|pump|86|shipped
2139|ionic|south|cable|37|held
2535|dorian|east|sensor|86|shipped
2065|cobalt|east|pump|73|shipped
1918|gale|north|pump|16|shipped
2041|acme|west|valve|50|held
1462|ionic|south|sensor|96|pending
1836|dorian|north|rotor|54|held
2071|ember|north|frame|51|pending
2342|birch|east|rotor|86|paid
2002|ember|west|gasket|94|pending
2385|birch|west|pump|86|paid
1759|fulton|west|panel|79|held
2244|birch|east|valve|20|held
1920|ember|south|rotor|47|shipped
1712|juno|east|pump|22|pending
1812|dorian|west|panel|65|pending
1908|cobalt|west|valve|62|held
1515|fulton|east|sensor|90|pending
1810|cobalt|north|pump|78|held
1682|fulton|south|gasket|11|held
1641|cobalt|south|gasket|17|held
1875|birch|north|pump|76|pending
1657|juno|west|gasket|12|shipped
2209|acme|north|frame|44|held
1662|birch|south|rotor|26|pending
2306|ionic|west|panel|56|paid
1819|ionic|west|pump|57|shipped
1753|gale|east|gasket|27|held
2104|gale|north|pump|51|held
1740|ionic|south|cable|15|paid
2133|juno|north|rotor|79|held
1611|fulton|south|pump|67|paid
1604|ionic|south|pump|38|paid
2486|acme|south|cable|67|paid
2030|ionic|east|pump|76|held
1513|ember|south|pump|35|shipped
2511|ember|south|panel|34|pending
2510|dorian|north|pump|68|held
2090|gale|south|sensor|25|pending
2541|birch|east|valve|93|pending
2478|harbor|south|rotor|31|shipped
2077|dorian|north|cable|70|shipped
2107|gale|west|panel|83|held
2499|juno|south|valve|97|held
1906|dorian|north|pump|93|shipped
1743|juno|north|frame|67|paid
1537|birch|north|sensor|77|shipped
2276|birch|south|panel|71|pending
1552|ionic|east|frame|27|shipped
2346|ionic|west|gasket|92|shipped
2488|birch|south|rotor|75|shipped
2502|birch|east|frame|52|held
1845|juno|north|gasket|25|paid
1557|ionic|east|panel|69|paid
2128|juno|north|valve|46|held
2473|birch|north|cable|14|paid
2553|harbor|west|cable|44|paid
1502|dorian|north|cable|85|paid
2509|gale|north|gasket|84|held
2220|ember|south|panel|33|held
1719|ionic|north|rotor|61|held
2237|acme|south|pump|41|shipped
2483|cobalt|south|gasket|99|paid
1781|gale|north|gasket|29|pending
1496|ionic|north|panel|60|pending
2083|acme|west|sensor|82|held
2353|gale|south|panel|56|paid
1485|ionic|south|cable|41|shipped
1948|juno|north|valve|14|paid
1769|cobalt|east|gasket|36|shipped
2271|gale|west|sensor|84|held
1675|ionic|north|panel|84|shipped
2555|harbor|south|sensor|18|paid
2232|birch|west|valve|76|paid
1841|cobalt|south|panel|40|held
1911|fulton|south|cable|52|pending
1813|fulton|east|pump|95|pending
1766|acme|north|frame|81|pending
2413|birch|west|pump|64|held
1652|dorian|south|cable|62|paid
1889|ember|south|frame|10|paid
1744|harbor|south|panel|84|held
2157|gale|north|gasket|28|shipped
1967|ember|north|panel|44|shipped
2251|acme|south|panel|66|paid
2258|birch|west|valve|43|shipped
1978|cobalt|west|rotor|42|held
2456|ionic|east|cable|89|shipped
2149|fulton|north|pump|34|pending
1926|juno|north|sensor|21|paid
2390|dorian|north|rotor|32|shipped
2281|juno|south|sensor|53|shipped
2425|birch|west|valve|75|shipped
1971|cobalt|east|sensor|50|paid
1952|dorian|east|sensor|64|held
1627|ionic|north|rotor|41|shipped
1624|ionic|north|frame|23|paid
2191|fulton|west|sensor|38|pending
2116|harbor|east|sensor|59|paid
2382|gale|north|frame|86|pending
2048|birch|north|cable|55|pending
2418|cobalt|south|valve|46|shipped
2288|fulton|west|gasket|86|pending
2321|harbor|south|pump|51|pending
1530|gale|north|sensor|12|pending
2393|acme|west|frame|70|shipped
1635|harbor|west|cable|69|paid
2359|birch|north|sensor|27|pending
2364|gale|north|rotor|59|paid
2203|acme|east|panel|19|held
2218|harbor|north|frame|93|shipped
1900|fulton|south|frame|37|paid
2440|birch|east|sensor|44|shipped
1501|ionic|south|cable|17|shipped
1928|birch|south|sensor|36|paid
1535|birch|west|valve|47|held
1458|ionic|south|pump|58|held
1594|gale|south|cable|60|pending
2123|ionic|south|frame|46|shipped
1893|ember|north|frame|68|pending
1880|acme|east|gasket|55|paid
1922|dorian|east|gasket|99|shipped
2336|ionic|north|valve|32|paid
2211|cobalt|west|pump|28|shipped
1524|birch|north|sensor|43|pending
2147|acme|east|pump|13|paid
1481|ionic|east|gasket|35|pending
2112|fulton|east|valve|15|pending
1984|fulton|south|panel|71|paid
2013|birch|south|frame|41|paid
1701|juno|west|pump|97|pending
1476|ionic|south|gasket|96|pending
2229|acme|north|sensor|65|pending
1449|ionic|south|valve|75|pending
1938|ionic|south|rotor|89|held
2314|gale|north|cable|95|pending
1803|acme|east|valve|44|shipped
2376|fulton|east|cable|61|held
1575|gale|south|sensor|73|paid
2268|harbor|north|pump|12|pending
1489|ionic|south|rotor|79|pending
1775|ember|east|frame|76|pending
1785|cobalt|south|gasket|44|held
2524|acme|west|panel|73|shipped
1580|cobalt|west|sensor|42|paid
2402|gale|north|frame|34|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 49, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "valve", "qty": 75}},
{"tool": "restock", "args": {"item": "sensor", "qty": 96}},
{"tool": "restock", "args": {"item": "gasket", "qty": 96}},
{"tool": "restock", "args": {"item": "rotor", "qty": 79}},
{"tool": "cancel_order", "args": {"order_id": 2443}}
]correctagentic.tools.deploy-v1conf 100% · 899ms · $0.004 · 1461 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: notifier, search
- search: (none)
- notifier: search
- gateway: auth-svc, notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 7.6s · $0.005 · 2089 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: $683
- alpha: $231
- delta: $552
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $526 from "tango" to "delta"
2. pay $390 from "tango" to "delta"
3. pay $243 from "tango" to "delta"
4. pay $250 from "tango" to "delta"
5. pay $183 from "delta" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 526}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 233}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 390}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 243}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 243}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 250}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 250}},
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 183}}
]correctagentic.tools.triage-v1conf 100% · 2.2s · $0.004 · 1554 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → okafor
- infra → haddad
- payments → tanaka
INCIDENTS:
1. "export file corrupted" (category: data, priority 2)
2. "uploads failing intermittently" (category: infra, priority 6)
3. "export file corrupted" (category: data, priority 2)
4. "records missing after import" (category: data, 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": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 2}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "okafor"}}
]correctagentic.tools.deploy-v1conf 100% · 877ms · $0.002 · 685 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- billing: gateway
- search: gateway
- auth-svc: billing, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]correctagentic.tools.context-load-v1conf 100% · 308ms · $0.036 · 13679 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 (261 records, format: id|customer|region|item|qty|status):
```
2209|juno|south|cable|25|paid
1873|gale|south|frame|19|shipped
1206|birch|east|sensor|47|pending
1532|ember|north|pump|19|pending
1814|birch|west|gasket|22|paid
2195|ionic|north|pump|41|paid
2132|ember|south|sensor|26|held
1812|gale|east|panel|73|shipped
1737|ionic|west|pump|70|held
2184|gale|north|gasket|11|paid
1700|acme|east|frame|48|held
1558|gale|east|rotor|25|paid
1967|fulton|west|cable|87|paid
1374|dorian|west|panel|67|pending
1948|birch|south|frame|30|pending
2114|gale|west|sensor|78|pending
1664|birch|south|rotor|75|held
2054|acme|north|panel|63|pending
1588|ionic|west|valve|35|pending
1925|fulton|west|pump|15|pending
1559|acme|north|gasket|92|shipped
1689|birch|east|cable|59|shipped
1394|ionic|west|sensor|23|held
2094|gale|west|valve|73|held
1512|dorian|north|rotor|51|pending
2010|ember|east|panel|72|held
1330|gale|east|sensor|69|pending
1844|fulton|north|frame|65|shipped
1406|juno|north|gasket|98|held
1757|ember|south|pump|11|pending
2119|birch|north|cable|17|pending
2083|acme|east|cable|31|paid
1983|birch|south|valve|55|paid
1730|cobalt|west|valve|85|paid
1441|acme|east|pump|64|shipped
1211|birch|west|valve|36|held
2062|birch|west|cable|80|shipped
1886|harbor|east|sensor|77|held
1692|harbor|north|sensor|21|paid
1239|juno|west|sensor|75|paid
1916|gale|south|rotor|68|shipped
1726|cobalt|north|frame|33|pending
1890|fulton|north|sensor|65|paid
1745|gale|north|sensor|71|shipped
1156|birch|east|frame|41|pending
1670|fulton|south|frame|76|shipped
1574|harbor|west|rotor|93|shipped
1836|fulton|east|frame|84|shipped
1323|birch|east|pump|86|paid
1367|birch|north|panel|44|held
1661|harbor|south|panel|54|paid
1786|gale|south|pump|41|shipped
1411|gale|south|gasket|33|paid
1742|dorian|south|sensor|58|held
1621|birch|west|pump|82|held
2034|ionic|south|pump|54|held
1818|acme|south|sensor|36|shipped
1803|fulton|east|cable|50|shipped
1712|harbor|north|sensor|17|paid
1909|ember|west|cable|63|shipped
2101|ember|north|frame|55|paid
1346|ember|north|sensor|42|pending
1177|birch|west|gasket|63|paid
1998|gale|north|sensor|69|shipped
1227|birch|west|sensor|67|shipped
1773|acme|east|cable|95|shipped
1764|harbor|west|valve|38|paid
1716|dorian|west|cable|34|held
1551|cobalt|west|rotor|55|paid
1418|gale|west|cable|74|shipped
2066|birch|south|frame|54|shipped
1935|fulton|west|pump|72|paid
1855|acme|south|cable|39|paid
1316|juno|south|gasket|11|paid
1717|gale|south|rotor|95|held
1389|birch|south|gasket|98|shipped
1901|ionic|south|pump|46|shipped
2092|gale|west|frame|86|held
1960|acme|west|gasket|42|held
1663|cobalt|east|frame|68|held
1292|ionic|north|gasket|40|pending
2072|cobalt|north|valve|20|paid
2038|birch|south|frame|41|paid
1482|juno|north|frame|99|pending
1357|dorian|west|cable|94|pending
1194|birch|west|panel|13|shipped
1608|gale|east|panel|54|pending
1490|birch|east|frame|71|held
1422|birch|north|panel|92|pending
1599|fulton|south|gasket|53|held
2133|acme|east|frame|63|paid
1938|ember|south|cable|97|paid
1256|gale|south|gasket|75|paid
1364|ionic|south|panel|11|pending
2178|acme|north|gasket|32|pending
1299|birch|west|gasket|58|shipped
1838|fulton|north|frame|61|shipped
1720|harbor|south|frame|88|shipped
2078|dorian|north|pump|82|paid
1854|fulton|west|frame|34|pending
1830|gale|north|cable|39|held
1595|dorian|west|valve|21|pending
1565|ionic|east|rotor|15|paid
1867|juno|east|rotor|31|shipped
1702|birch|south|sensor|23|pending
1171|birch|north|sensor|46|pending
2171|birch|west|panel|34|shipped
1310|acme|north|gasket|72|pending
1493|ionic|east|sensor|66|pending
1181|birch|west|frame|17|pending
1432|gale|west|sensor|55|held
1931|dorian|west|panel|88|shipped
1821|ember|north|pump|61|paid
1965|harbor|south|pump|66|paid
1342|juno|west|gasket|17|paid
1282|acme|east|rotor|32|held
2082|ember|north|pump|65|shipped
1293|harbor|north|frame|69|held
1377|acme|east|frame|84|pending
1976|harbor|east|cable|71|pending
1326|fulton|east|gasket|58|shipped
1311|birch|north|sensor|22|paid
1701|cobalt|north|rotor|27|shipped
1706|acme|south|cable|49|shipped
1677|ionic|west|gasket|22|pending
1878|ionic|west|valve|48|shipped
1500|acme|north|frame|48|paid
2107|dorian|east|gasket|75|pending
1228|cobalt|east|pump|61|held
2131|fulton|south|sensor|55|pending
1614|ionic|west|valve|17|held
1618|ember|east|frame|58|held
1529|birch|north|rotor|11|pending
1697|dorian|south|gasket|25|paid
1778|harbor|south|gasket|91|pending
1615|dorian|north|rotor|55|held
1276|fulton|east|cable|81|paid
2089|gale|east|pump|11|held
1263|fulton|north|frame|83|shipped
1752|cobalt|south|sensor|57|pending
1158|birch|west|sensor|97|shipped
2077|acme|west|valve|62|shipped
1987|acme|east|cable|44|held
1799|dorian|north|sensor|33|shipped
2045|fulton|north|rotor|15|shipped
1475|juno|north|cable|15|paid
1439|dorian|west|frame|21|pending
1350|ember|north|frame|36|pending
1957|ionic|north|rotor|69|shipped
1852|acme|east|pump|67|shipped
1921|harbor|north|panel|62|shipped
2186|ember|south|gasket|39|held
1543|ionic|south|panel|79|paid
1287|fulton|east|sensor|91|paid
1766|dorian|north|pump|27|held
1969|dorian|west|panel|49|pending
1978|fulton|south|frame|53|pending
1630|ember|west|pump|92|shipped
1513|acme|north|pump|87|held
1164|birch|west|cable|25|pending
1555|ionic|south|frame|82|paid
1693|fulton|south|frame|86|shipped
1251|ember|south|gasket|55|shipped
1872|juno|east|cable|12|held
1885|acme|north|valve|33|shipped
1261|birch|south|pump|45|held
1620|dorian|north|pump|72|held
1201|birch|west|rotor|92|pending
1465|birch|west|gasket|40|paid
1301|cobalt|north|sensor|21|held
1808|ember|west|rotor|64|shipped
1641|fulton|east|pump|39|pending
1525|fulton|west|rotor|37|shipped
2202|dorian|north|pump|19|held
1785|fulton|east|panel|89|held
1896|birch|south|valve|41|held
1388|ionic|north|cable|52|held
1453|gale|east|valve|24|pending
1353|harbor|north|gasket|83|paid
2130|acme|south|sensor|32|pending
1636|fulton|north|gasket|97|paid
2035|ember|east|frame|28|held
2145|juno|south|pump|40|held
1384|acme|north|gasket|26|paid
1863|ember|east|panel|33|paid
2005|ionic|south|cable|27|shipped
1495|birch|north|valve|26|held
2020|juno|east|rotor|24|pending
1508|ionic|south|cable|16|shipped
2028|dorian|north|frame|59|pending
1504|dorian|north|sensor|15|shipped
2051|ember|west|rotor|24|pending
2159|acme|south|panel|36|shipped
1554|cobalt|west|cable|44|shipped
1217|birch|west|cable|39|pending
1307|fulton|south|valve|57|held
1234|birch|south|valve|53|pending
1154|birch|west|rotor|43|pending
1285|acme|north|cable|24|pending
1942|dorian|east|rotor|70|shipped
1545|ionic|south|valve|72|paid
2055|cobalt|south|gasket|76|pending
1793|cobalt|west|gasket|92|shipped
2152|gale|north|gasket|27|pending
2036|ember|south|valve|83|shipped
1334|cobalt|south|sensor|12|pending
1428|cobalt|east|panel|54|pending
1283|cobalt|north|valve|36|pending
1950|cobalt|west|pump|36|pending
2098|acme|east|frame|59|paid
1471|dorian|north|panel|69|paid
1846|ember|west|sensor|41|shipped
2138|gale|east|sensor|98|pending
1648|gale|south|rotor|86|paid
2129|cobalt|south|panel|64|paid
1733|ember|east|panel|35|pending
2016|ember|north|valve|20|shipped
2213|acme|west|frame|30|pending
1992|acme|west|panel|95|pending
1220|birch|north|cable|93|pending
1605|cobalt|west|sensor|34|paid
1462|ember|south|panel|95|held
1571|cobalt|east|sensor|19|pending
1828|fulton|west|pump|36|paid
1435|acme|north|pump|30|shipped
2052|gale|east|frame|72|shipped
2164|cobalt|south|gasket|88|held
1856|cobalt|east|frame|12|shipped
1443|ember|south|cable|15|shipped
1834|dorian|east|pump|81|paid
2124|dorian|east|valve|91|shipped
1660|harbor|north|cable|75|pending
1337|fulton|west|rotor|93|shipped
1187|birch|north|frame|57|pending
1455|harbor|south|frame|68|pending
1518|gale|south|frame|37|pending
1369|cobalt|west|gasket|38|pending
1273|dorian|south|gasket|92|held
1682|juno|south|rotor|73|shipped
2214|dorian|west|panel|24|pending
1404|ember|west|pump|81|held
1400|juno|east|sensor|61|shipped
1446|gale|south|sensor|76|held
1912|juno|north|panel|61|pending
2032|ionic|south|valve|49|held
1906|harbor|west|gasket|59|held
1961|ionic|west|frame|88|paid
1538|cobalt|east|cable|78|pending
2007|ember|north|cable|72|held
1245|fulton|east|frame|62|held
1581|harbor|north|panel|69|pending
2069|ionic|east|cable|30|held
2021|ember|north|panel|86|pending
1655|ionic|west|frame|85|paid
1625|birch|north|valve|95|paid
1485|ember|west|sensor|11|held
1813|ember|north|pump|79|shipped
2084|harbor|east|panel|80|held
1848|ember|north|panel|18|paid
1267|ionic|west|sensor|99|pending
2193|birch|west|gasket|97|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 > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1154}},
{"tool": "cancel_order", "args": {"order_id": 1164}},
{"tool": "cancel_order", "args": {"order_id": 1181}},
{"tool": "restock", "args": {"item": "rotor", "qty": 92}},
{"tool": "cancel_order", "args": {"order_id": 1217}},
{"tool": "restock", "args": {"item": "gasket", "qty": 97}}
]correctagentic.tools.ledger-v1conf 100% · 209ms · $0.006 · 2266 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $372
- echo: $631
- alpha: $161
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $328 from "delta" to "alpha"
2. pay $408 from "alpha" to "echo"
3. pay $380 from "alpha" to "echo"
4. pay $319 from "alpha" to "delta"
5. pay $587 from "delta" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 328}},
{"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 408}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 299}},
{"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 380}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 319}},
{"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 319}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 224}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 587}}
]correctagentic.tools.deploy-v1conf 100% · 1.5s · $0.006 · 2252 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- billing: reports
- gateway: billing, reports
- auth-svc: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 1.2s · $0.002 · 623 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $731
- tango: $520
- echo: $459
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $84 from "delta" to "echo"
2. pay $524 from "echo" to "delta"
3. pay $119 from "delta" to "tango"
4. pay $448 from "tango" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 84}},
{"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 524}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 119}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 448}}
]correctagentic.tools.triage-v1conf 100% · 1.4s · $0.005 · 1732 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 → rivera
- data → dubois
INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "webhooks not delivered" (category: infra, priority 8)
3. "cannot reset password" (category: auth, priority 6)
4. "SSO loop on login" (category: auth, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "silva"}}
]wrongagentic.tools.deploy-v1anchorconf 100% · 716ms · $0.008 · 3275 tok
model answer:
[
{" tool": "deploy", "args": {"service": "notifier"}},
{" tool": "deploy", "args": {"service": "auth-svc"}},
{" tool": "deploy", "args": {"service": "gateway"}},
{" tool": "health_check", "args": {"service": "gateway"}},
{" tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.context-load-v1anchorconf 100% · 229ms · $0.015 · 5113 tok
model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}}
]wrongagentic.tools.ledger-v1anchorconf 100% · 2.4s · $0.009 · 3359 tok
model answer:
[
{" tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{" tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{" tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{" tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{" tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}},
{" tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{" tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]correctagentic.tools.triage-v1anchorconf 100% · 1.1s · $0.007 · 2548 tok
model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]code 29/30 correct
correctcode.trace.js-v1conf 100% · 1.2s · $0.004 · 1418 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 4) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
252correctcode.trace.nested-v1conf 100% · 10.0s · $0.007 · 2748 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
307correctcode.trace.nested-v1conf 100% · 1.2s · $0.011 · 4254 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
178correctcode.trace.python-v1conf 100% · 2.6s · $0.002 · 980 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 9
while total + v <= 60:
if v % 4 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
45correctcode.trace.js-v1conf 100% · 1.6s · $0.002 · 871 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 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:
408correctcode.trace.nested-v1conf 100% · 1.9s · $0.010 · 4164 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 == 4 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:
252correctcode.trace.nested-v1conf 100% · 3.2s · $0.011 · 4370 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
357correctcode.trace.python-v1conf 100% · 944ms · $0.005 · 1912 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 1
while total + v <= 33:
if v % 7 != 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:
29correctcode.trace.js-v1conf 100% · 203ms · $0.003 · 1102 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 5) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
135correctcode.trace.python-v1conf 100% · 886ms · $0.005 · 1896 tok
question
What does this Python program print?
```python
total = 0
v = 8
while total + v <= 51:
if v % 6 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
50correctcode.trace.js-v1conf 100% · 1.6s · $0.003 · 1185 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 3) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
351correctcode.trace.python-v1conf 100% · 7.9s · $0.006 · 2289 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 119:
if v % 4 != 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:
87correctcode.trace.python-v1conf 100% · 906ms · $0.003 · 1036 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 14
while total + v <= 115:
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:
104correctcode.trace.nested-v1conf 100% · 649ms · $0.009 · 3473 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 4 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:
348correctcode.trace.js-v1conf 100% · 10.6s · $0.002 · 824 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 % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
486correctcode.trace.nested-v1conf 100% · 1.2s · $0.012 · 4836 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 4 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:
302TimeoutError: The operation was aborted due to timeoutcode.trace.js-v1conf — · — · — · — tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; const out = arr .map(n => n * 3) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctcode.trace.js-v1conf 100% · 10.0s · $0.003 · 1053 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 6) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
240correctcode.trace.python-v1conf 100% · 1.9s · $0.002 · 776 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 41:
if v % 7 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
33correctcode.trace.python-v1conf 100% · 720ms · $0.008 · 3307 tok
question
What does this Python program print?
```python
total = 0
v = 4
while total + v <= 95:
if v % 6 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
91correctcode.trace.nested-v1conf 100% · 190ms · $0.007 · 2792 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
140correctcode.trace.js-v1conf 100% · 1.8s · $0.002 · 695 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12]; 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% · 1.4s · $0.005 · 2151 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
117correctcode.trace.python-v1conf 100% · 1.1s · $0.002 · 860 tok
question
What does this Python program print?
```python
total = 0
v = 9
while total + v <= 37:
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:
33correctcode.trace.nested-v1conf 100% · 2.0s · $0.009 · 3527 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 == 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:
117correctcode.trace.js-v1conf 100% · 1.1s · $0.003 · 1094 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 * 7) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
140correctcode.trace.nested-v1anchorconf 100% · 990ms · $0.010 · 3948 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 3.3s · $0.002 · 925 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 937ms · $0.002 · 956 tok
model answer:
0correctcode.trace.python-v1anchorconf 100% · 286ms · $0.003 · 1238 tok
model answer:
40instruction following 26/30 correct
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "comet" and the last word must be "quartz". 3. Use the word "zephyr" 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.constraints.stack-v1conf 100% · 1.2s · $0.015 · 5950 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "comet" and the last word must be "cedar". 3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet tails drift above rooftops while cars drift below at night and clouds drift past a lonely cedarcorrectif.format.repeat-v1conf 100% · 9.8s · $0.002 · 751 tok
question
Write the word "prism" 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:
PRISM_PRISM_PRISM_PRISM_PRISM_PRISMcorrectif.format.acronym-v1conf 100% · 687ms · $0.001 · 419 tok
question
Take the second letter of each of these words, in order: echo, flint, drift, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CLRUTimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "falcon" and the last word must be "basalt". 3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.acronym-v1conf 100% · 1.2s · $0.002 · 860 tok
question
Take the third letter of each of these words, in order: flint, cedar, quartz, delta, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
IDALMcorrectif.format.repeat-v1conf 100% · 1.6s · $0.003 · 1293 tok
question
Write the word "lumen" in uppercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LUMEN-LUMEN-LUMEN-LUMEN-LUMEN-LUMEN-LUMEN-LUMEN-LUMENTimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf — · — · — · — tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "echo" and the last word must be "tundra". 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:
(none extracted)correctif.format.acronym-v1conf 100% · 1.6s · $0.002 · 747 tok
question
Take the first letter of each of these words, in order: drift, delta, quartz, 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:
DDQFcorrectif.format.repeat-v1conf 100% · 1.3s · $0.002 · 797 tok
question
Write the word "orbit" in uppercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ORBIT/ORBIT/ORBIT/ORBIT/ORBITcorrectif.format.repeat-v1conf 100% · 1.9s · $0.002 · 750 tok
question
Write the word "falcon" in uppercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FALCON_FALCON_FALCONcorrectif.constraints.stack-v1conf 100% · 10.0s · $0.004 · 1668 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "delta" and the last word must be "zephyr". 3. Use the word "nova" 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:
delta waves crash under a nova sky while nova stars shine on the calm sea under moon and zephyrSyntaxError: Unexpected end of JSON inputif.constraints.stack-v1conf — · — · — · — tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "tundra" and the last word must be "lumen". 3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.acronym-v1conf 100% · 221ms · $0.000 · 116 tok
question
Take the first letter of each of these words, in order: zephyr, flint, drift, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZFDLcorrectif.format.acronym-v1conf 100% · 1.3s · $0.003 · 1104 tok
question
Take the first letter of each of these words, in order: lumen, delta, flint, prism, quartz, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LDFPQBcorrectif.format.repeat-v1conf 100% · 212ms · $0.002 · 919 tok
question
Write the word "orbit" in capitalized form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Orbit-Orbit-Orbit-Orbit-Orbit-Orbit-Orbitcorrectif.format.acronym-v1conf 100% · 1.9s · $0.002 · 758 tok
question
Take the first letter of each of these words, in order: orbit, quartz, zephyr, 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:
OQZCcorrectif.format.repeat-v1conf 100% · 1.1s · $0.001 · 519 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.constraints.stack-v1conf 100% · 10.0s · $0.009 · 3738 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 "tundra" and the last word must be "cedar". 3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra winds drift over vast white mountains while weary travelers drift through silent valleys seeking shelter beneath ancient cedarcorrectif.constraints.stack-v1conf 100% · 315ms · $0.009 · 3438 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "basalt" and the last word must be "comet". 3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
basalt roads lead across frozen tundra vast tundra endless tundra toward a distant cometcorrectif.format.acronym-v1conf 100% · 3.2s · $0.001 · 329 tok
question
Take the first letter of each of these words, in order: cedar, tundra, orbit, echo, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CTOEFcorrectif.format.repeat-v1conf 100% · 494ms · $0.002 · 681 tok
question
Write the word "orbit" 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:
ORBIT/ORBIT/ORBIT/ORBIT/ORBIT/ORBITcorrectif.format.acronym-v1conf 100% · 1.3s · $0.002 · 628 tok
question
Take the third letter of each of these words, in order: drift, ember, falcon, cedar, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
IBLDLcorrectif.constraints.stack-v1conf 100% · 1.0s · $0.011 · 4241 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "prism" and the last word must be "nova". 3. Use the word "flint" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism gears grind with flint sparks inside the old rusted flint engine slowly dying near bright novacorrectif.constraints.stack-v1anchorconf 100% · 1.0s · $0.009 · 3795 tok
model answer:
drift through neon avenues where lumen signs flicker above wet asphalt and lumen glow traces windows as cars pass beneath lumen halos in orbitcorrectif.format.repeat-v1conf 100% · 5.8s · $0.002 · 716 tok
question
Write the word "lumen" 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:
lumen/lumen/lumen/lumen/lumen/lumen/lumen/lumen/lumencorrectif.format.acronym-v1conf 100% · 1.4s · $0.001 · 326 tok
question
Take the third letter of each of these words, in order: basalt, echo, nova, falcon, orbit. 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:
SHVLBcorrectif.format.repeat-v1anchorconf 100% · 1.3s · $0.002 · 898 tok
model answer:
Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echocorrectif.format.acronym-v1anchorconf 100% · 5.1s · $0.002 · 659 tok
model answer:
ZDFQcorrectif.format.repeat-v1anchorconf 100% · 898ms · $0.002 · 589 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 304ms · $0.000 · 112 tok
question
What is the chemical element with symbol 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% · 275ms · $0.001 · 459 tok
question
Identify the writer of the novel "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 10.0s · $0.001 · 445 tok
question
Identify the chemical element with symbol W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.001 · 391 tok
question
Name the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 352ms · $0.002 · 625 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% · 1.7s · $0.001 · 352 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% · 1.5s · $0.001 · 538 tok
question
What is the writer of the novel "Things Fall Apart"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 10.0s · $0.002 · 688 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 377 tok
question
What is the element whose symbol is W? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 550ms · $0.002 · 703 tok
question
Identify the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 2.2s · $0.001 · 464 tok
question
What is the capital of Brazil? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 870ms · $0.001 · 285 tok
question
Name the author of "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 1.8s · $0.001 · 296 tok
question
Identify the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 1.4s · $0.002 · 650 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% · 843ms · $0.001 · 264 tok
question
Name the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 941ms · $0.001 · 510 tok
question
Identify the author of "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.001 · 306 tok
question
Name the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 10.0s · $0.000 · 147 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% · 2.8s · $0.001 · 428 tok
question
Identify the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 496ms · $0.001 · 514 tok
question
What is the Brazilian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 1.1s · $0.001 · 292 tok
question
Identify the Nigerian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 1.4s · $0.001 · 504 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 10.0s · $0.002 · 607 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% · 10.0s · $0.001 · 402 tok
question
Name the author of "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 2.2s · $0.001 · 247 tok
question
Name the Kazakh capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2anchorconf 100% · 305ms · $0.001 · 362 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 1.0s · $0.000 · 103 tok
question
What is 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-v2anchorconf 100% · 488ms · $0.001 · 364 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 897ms · $0.002 · 601 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 2.0s · $0.001 · 418 tok
model answer:
Antimonymath 30/30 correct
correctmath.counterfactual.base-v1conf 100% · 10.0s · $0.003 · 1187 tok
question
Work strictly in base 11. Add the base-11 numbers 2A9 and 1243. 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:
1541correctmath.chained.pipeline-v1conf 100% · 9.2s · $0.001 · 256 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 38 × 15. Step 2: Q = P × 6 − 975. Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
310correctmath.percent.chain-v2conf 100% · 2.3s · $0.002 · 726 tok
question
An inventory starts at 49000 units. The delivery van has a 127-liter fuel tank. In the first month the inventory grows by 30%. The delivery van has a 118-liter fuel tank. The next month it shrinks by 27%, 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:
58126.25correctmath.algebra.system-v2conf 100% · 923ms · $0.002 · 905 tok
question
Solve the system, then answer the derived question. 6x + 6y = -228 2x − 8y = 284 What is the value of 3x − 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:
66correctmath.counterfactual.base-v1conf 100% · 2.1s · $0.003 · 1087 tok
question
Work strictly in base 13. Add the base-13 numbers 761 and 1A5. 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:
936correctmath.arith.chain-v2conf 100% · 318ms · $0.001 · 485 tok
question
Work out the exact value of this expression. (((74 × 56 − 275) × 7 + 4261) − 42 × 66) × 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:
85716correctmath.chained.pipeline-v1conf 100% · 1.1s · $0.003 · 1264 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 64 × 72. Step 2: Q = P × 7 − 107. 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:
4597correctmath.percent.chain-v2conf 100% · 2.2s · $0.003 · 1164 tok
question
An inventory starts at 58000 units. A rival firm shipped 173 unrelated parcels the same week. In the first month the inventory grows by 24%. The warehouse was painted 17 years ago. The next month it shrinks by 18%, and the month after it grows by 5%. 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:
61923.12correctmath.algebra.system-v2conf 100% · 916ms · $0.004 · 1537 tok
question
Solve the system, then answer the derived question. 5x + 3y = -134 4x − 9y = 155 What is the value of 6x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
37correctmath.arith.chain-v2conf 100% · 1.9s · $0.004 · 1587 tok
question
Compute the value of the following expression. (((61 × 41 − 304) × 9 + 5107) − 11 × 11) × 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:
74277correctmath.chained.pipeline-v1conf 100% · 328ms · $0.002 · 727 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 14 × 63. Step 2: Q = P × 4 − 782. Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
345correctmath.counterfactual.base-v1conf 100% · 1.1s · $0.004 · 1676 tok
question
Work strictly in base 9. Multiply the base-9 numbers 106 and 24. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2556correctmath.algebra.system-v2conf 100% · 10.0s · $0.004 · 1564 tok
question
Solve the system, then answer the derived question. 2x + 9y = -377 7x − 9y = 179 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:
1correctmath.arith.chain-v2conf 100% · 561ms · $0.005 · 1901 tok
question
Calculate the following. Show your reasoning, then answer. (((35 × 67 − 809) × 6 + 9600) − 65 × 80) × 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:
54464correctmath.percent.chain-v2conf 100% · 10.0s · $0.003 · 1323 tok
question
An inventory starts at 78000 units. Each pallet weighs about 10 grams more when wet. In the first month the inventory grows by 21%. The company was founded 8 kilometers from the port. The next month it shrinks by 28%, and the month after it grows by 20%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
81544.32correctmath.percent.chain-v2conf 100% · 703ms · $0.007 · 2986 tok
question
An inventory starts at 35000 units. Each pallet weighs about 63 grams more when wet. In the first month the inventory grows by 33%. The delivery van has a 165-liter fuel tank. The next month it shrinks by 6%, and the month after it grows by 30%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
56884.1correctmath.chained.pipeline-v1conf 100% · 618ms · $0.002 · 725 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 31 × 14. Step 2: Q = P × 5 − 848. 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:
194correctmath.arith.chain-v2conf 100% · 2.3s · $0.007 · 2835 tok
question
Calculate the following. Show your reasoning, then answer. (((51 × 25 − 480) × 9 + 9628) − 82 × 56) × 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:
36573correctmath.counterfactual.base-v1conf 100% · 271ms · $0.004 · 1478 tok
question
Work strictly in base 9. Multiply the base-9 numbers 14 and 101. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1414correctmath.percent.chain-v2conf 100% · 10.1s · $0.004 · 1383 tok
question
An inventory starts at 37000 units. The company was founded 115 kilometers from the port. In the first month the inventory grows by 5%. The warehouse was painted 84 years ago. The next month it shrinks by 13%, and the month after it grows by 32%. 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:
44615.34correctmath.algebra.system-v2conf 100% · 1.3s · $0.001 · 316 tok
question
Solve the system, then answer the derived question. 8x + 6y = -446 7x − 3y = -85 What is the value of 2x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
55correctmath.counterfactual.base-v1conf 100% · 575ms · $0.004 · 1746 tok
question
Work strictly in base 7. Add the base-7 numbers 6445 and 10466. 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:
20244correctmath.chained.pipeline-v1conf 100% · 968ms · $0.004 · 1468 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 75 × 49. Step 2: Q = P × 9 − 936. 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:
8037correctmath.arith.chain-v2conf 100% · 1.2s · $0.006 · 2331 tok
question
Evaluate the expression below and give the result. (((38 × 86 − 555) × 3 + 3328) − 73 × 22) × 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:
29583correctmath.algebra.system-v2conf 100% · 2.6s · $0.003 · 1096 tok
question
Solve the system, then answer the derived question. 8x + 5y = 1 8x − 9y = -181 What is the value of 3x − 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:
-50correctmath.percent.chain-v2anchorconf 100% · 2.5s · $0.006 · 2475 tok
model answer:
61896.52correctmath.chained.pipeline-v1conf 100% · 605ms · $0.002 · 848 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 29 × 16. Step 2: Q = P × 6 − 607. 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:
311correctmath.counterfactual.base-v1anchorconf 100% · 808ms · $0.003 · 1065 tok
model answer:
11236correctmath.arith.chain-v2anchorconf 100% · 1.1s · $0.002 · 851 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 3.0s · $0.001 · 319 tok
model answer:
87multilingual 29/30 correct
correctmultilingual.numword-v2conf 100% · 3.1s · $0.007 · 2612 tok
question
Compute 172 + 221, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent quatre-vingt-treizecorrectmultilingual.wordnum-v1conf 100% · 10.0s · $0.002 · 815 tok
question
A number is written in French: « six cent quarante-quatre ». Another is written in Spanish: « ciento veinticinco ». 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:
519correctmultilingual.numword-v2conf 100% · 9.8s · $0.002 · 732 tok
question
Compute 206 + 431, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos treinta y sietecorrectmultilingual.wordnum-v1conf 100% · 930ms · $0.002 · 705 tok
question
A number is written in French: « deux cent trente-neuf ». Another is written in Spanish: « sesenta y uno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
178correctmultilingual.wordnum-v1conf 100% · 842ms · $0.003 · 1287 tok
question
A number is written in French: « deux cent trente-six ». Another is written in Spanish: « trescientos sesenta ». 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:
-124TimeoutError: The operation was aborted due to timeoutmultilingual.numword-v2conf — · — · — · — tok
question
Compute 290 + 356, 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:
(none extracted)correctmultilingual.numword-v2conf 100% · 1.5s · $0.002 · 630 tok
question
Compute 301 + 431, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
setecientos treinta y doscorrectmultilingual.numword-v2conf 100% · 989ms · $0.008 · 3329 tok
question
Compute 327 + 158, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quatre-vingt-cinqcorrectmultilingual.wordnum-v1conf 100% · 1.3s · $0.002 · 767 tok
question
A number is written in French: « huit cent trente-neuf ». Another is written in Spanish: « trescientos ochenta 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:
456correctmultilingual.wordnum-v1conf 100% · 1.3s · $0.002 · 586 tok
question
A number is written in French: « sept cent cinquante-neuf ». Another is written in Spanish: « setecientos ». 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:
59correctmultilingual.wordnum-v1conf 100% · 241ms · $0.002 · 866 tok
question
A number is written in French: « soixante et onze ». Another is written in Spanish: « seiscientos noventa 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:
-622correctmultilingual.numword-v2conf 100% · 2.3s · $0.001 · 493 tok
question
Compute 244 + 421, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos sesenta y cincocorrectmultilingual.wordnum-v1conf 100% · 1.3s · $0.001 · 349 tok
question
A number is written in French: « trois cent trente-six ». Another is written in Spanish: « ochocientos cincuenta y uno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-515correctmultilingual.numword-v2conf 100% · 749ms · $0.003 · 1381 tok
question
Compute 476 + 364, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ochocientos cuarentacorrectmultilingual.wordnum-v1conf 100% · 1.2s · $0.001 · 377 tok
question
A number is written in French: « deux cent soixante-quatre ». Another is written in Spanish: « quinientos ochenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
845correctmultilingual.numword-v2conf 100% · 1.2s · $0.001 · 358 tok
question
Compute 212 + 280, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos noventa y doscorrectmultilingual.wordnum-v1conf 100% · 1.2s · $0.001 · 449 tok
question
A number is written in French: « neuf cent quatre-vingt-sept ». Another is written in Spanish: « quinientos noventa ». 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:
397correctmultilingual.numword-v2conf 100% · 1.4s · $0.005 · 1905 tok
question
Compute 201 + 351, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent cinquante-deuxcorrectmultilingual.wordnum-v1conf 100% · 617ms · $0.002 · 638 tok
question
A number is written in French: « quatre cent quarante-neuf ». Another is written in Spanish: « ciento treinta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
580correctmultilingual.numword-v2conf 100% · 3.3s · $0.002 · 829 tok
question
Compute 435 + 90, 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-cinqcorrectmultilingual.wordnum-v1conf 100% · 2.5s · $0.003 · 1315 tok
question
A number is written in French: « deux cent quatre-vingt-un ». Another is written in Spanish: « trescientos 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:
584correctmultilingual.wordnum-v1conf 100% · 204ms · $0.003 · 1240 tok
question
A number is written in French: « cinq cent dix ». Another is written in Spanish: « ochocientos cuarenta 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:
-339correctmultilingual.numword-v2conf 100% · 198ms · $0.002 · 644 tok
question
Compute 143 + 59, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos doscorrectmultilingual.wordnum-v1conf 100% · 5.0s · $0.004 · 1514 tok
question
A number is written in French: « neuf cent soixante-dix-neuf ». Another is written in Spanish: « cuatrocientos sesenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1444correctmultilingual.numword-v2conf 100% · 9.8s · $0.002 · 649 tok
question
Compute 334 + 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 treinta y cuatrocorrectmultilingual.numword-v2anchorconf 100% · 10.0s · $0.005 · 1876 tok
model answer:
seiscientos ochocorrectmultilingual.numword-v2conf 100% · 1.8s · $0.005 · 1882 tok
question
Compute 311 + 202, 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 treizecorrectmultilingual.numword-v2anchorconf 100% · 2.6s · $0.004 · 1536 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 919ms · $0.001 · 177 tok
model answer:
150correctmultilingual.wordnum-v1anchorconf 100% · 10.0s · $0.003 · 1010 tok
model answer:
762reasoning 28/30 correct
correctreasoning.deduction.order-v2conf 100% · 1.1s · $0.011 · 4285 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Liam is older than Emil. Emil is older than Priya. Dara is older than Alice. Sami is older than Priya. Alice is older than Liam. Goran is older than Dara. Ola is taller than everyone here, but Ola is not being ranked. Sami is older than Alice. Dara is older than Sami. Dara is older than Emil. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.position-v1conf 100% · 707ms · $0.001 · 359 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 1 in the queue. Priya is directly ahead of Emil. Emil is directly ahead of Jonas. 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% · 1.2s · $0.005 · 2010 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Quinn. Mona is heavier than Bruno. Liam is heavier than Dara. Alice is heavier than Dara. Alice is heavier than Mona. Dara is heavier than Quinn. Ola is heavier than Liam. Goran is faster than everyone here, but Goran is not being ranked. Bruno is heavier than Ola. Ola is heavier than Quinn. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamcorrectreasoning.deduction.position-v1conf 100% · 3.9s · $0.001 · 224 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 2 in the queue. Rosa is directly ahead of Tessa. Alice is directly ahead of Kira. 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:
RosaTimeoutError: The operation was aborted due to timeoutreasoning.deduction.position-v1conf — · — · — · — tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Nadir. Nadir is directly ahead of Hana. Hana is number 3 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctreasoning.deduction.order-v2conf 100% · 1.1s · $0.006 · 2182 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Emil. Farah is faster than Rosa. Emil is faster than Farah. Mona is faster than Kira. Quinn is faster than Hana. Emil is faster than Mona. Rosa is faster than Kira. Emil is faster than Rosa. Rosa is faster than Mona. Nadir is heavier than everyone here, but Nadir is not being ranked. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.position-v1conf 100% · 727ms · $0.001 · 464 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Alice. Kira is number 1 in the queue. Quinn is directly ahead of Ola. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 213ms · $0.001 · 281 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Jonas. Mona is directly ahead of Dara. Bruno is number 1 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.order-v2conf 100% · 1.0s · $0.003 · 1156 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Chen is taller than Dara. Rosa is taller than Emil. Rosa is taller than Hana. Chen is taller than Goran. Priya is taller than Emil. Goran is taller than Rosa. Dara is taller than Priya. Quinn is older than everyone here, but Quinn is not being ranked. Priya is taller than Goran. Hana is taller than Emil. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.position-v1conf 100% · 9.5s · $0.002 · 964 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 2 in the queue. Jonas is directly ahead of Priya. Nadir is directly ahead of Rosa. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.order-v2conf 100% · 3.3s · $0.002 · 673 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ola is older than Rosa. Liam is older than Kira. Nadir is older than Emil. Kira is older than Rosa. Goran is older than Kira. Mona is faster than everyone here, but Mona is not being ranked. Ola is older than Kira. Goran is older than Liam. Liam is older than Ola. Emil is older 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:
Kiracorrectreasoning.deduction.order-v2conf 100% · 916ms · $0.004 · 1659 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Sami is taller than Ola. Ola is taller than Mona. Priya is taller than Mona. Mona is taller than Nadir. Ola is taller than Liam. Bruno is taller than Liam. Liam is taller than Priya. Farah is heavier than everyone here, but Farah is not being ranked. Liam is taller than Mona. Bruno is taller than Sami. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 100% · 979ms · $0.001 · 529 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Nadir. Priya is number 1 in the queue. Nadir is directly ahead of Kira. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.order-v2conf 100% · 1.2s · $0.002 · 671 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Jonas. Hana is taller than Jonas. Alice is taller than Hana. Alice is taller than Goran. Mona is taller than Rosa. Goran is taller than Jonas. Hana is taller than Goran. Liam is taller than Alice. Kira is faster than everyone here, but Kira is not being ranked. Rosa is taller than Liam. 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:
HanaTimeoutError: The operation was aborted due to timeoutreasoning.deduction.position-v1conf — · — · — · — tok
question
Four people stand in a queue (number 1 is the front). Bruno is number 3 in the queue. Mona is directly ahead of Ola. Ola 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:
(none extracted)correctreasoning.deduction.position-v1conf 100% · 1.2s · $0.001 · 227 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Ola. Tessa is directly ahead of Kira. Rosa is number 1 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.005 · 1883 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ola is older than Tessa. Chen is older than Priya. Kira is older than Farah. Bruno is taller than everyone here, but Bruno is not being ranked. Ines is older than Kira. Ines is older than Ola. Tessa is older than Farah. Tessa is older than Kira. Priya is older than Farah. Priya is older than Ines. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.order-v2conf 100% · 506ms · $0.004 · 1734 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Tessa is heavier than Nadir. Emil is heavier than Ines. Rosa is taller than everyone here, but Rosa is not being ranked. Quinn is heavier than Ines. Goran is heavier than Emil. Quinn is heavier than Ines. Nadir is heavier than Quinn. Quinn is heavier than Goran. Ines is heavier than Priya. Nadir is heavier than Priya. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.position-v1conf 100% · 10.0s · $0.001 · 329 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Kira. Goran is directly ahead of Chen. Hana 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:
Kiracorrectreasoning.deduction.order-v2conf 100% · 1.2s · $0.003 · 1266 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is heavier than everyone here, but Tessa is not being ranked. Quinn is faster than Nadir. Priya is faster than Quinn. Liam is faster than Priya. Priya is faster than Mona. Dara is faster than Liam. Alice is faster than Dara. Nadir is faster than Mona. Alice is faster than Liam. Liam is faster than Quinn. 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:
Nadircorrectreasoning.deduction.order-v2conf 100% · 216ms · $0.007 · 2896 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Kira. Ola is faster than Bruno. Kira is faster than Priya. Alice is faster than Sami. Sami is faster than Chen. Ola is faster than Priya. Sami is faster than Priya. Priya is faster than Bruno. Nadir is taller than everyone here, but Nadir is not being ranked. Kira is faster than Ola. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1conf 100% · 769ms · $0.001 · 551 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Nadir. Nadir is directly ahead of Priya. Priya is directly ahead of Mona. Mona 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.order-v2conf 100% · 961ms · $0.002 · 734 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Emil. Emil is older than Goran. Nadir is older than Tessa. Dara is faster than everyone here, but Dara is not being ranked. Tessa is older than Kira. Chen is older than Kira. Bruno is older than Chen. Goran is older than Chen. Tessa is older than Bruno. Bruno is older than Chen. 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:
Chencorrectreasoning.deduction.position-v1conf 100% · 987ms · $0.004 · 1658 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Mona. Kira is number 1 in the queue. Hana is directly ahead of Farah. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.position-v1conf 100% · 410ms · $0.001 · 469 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Sami. Ines is number 1 in the queue. Sami is directly ahead of Liam. 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 236ms · $0.001 · 505 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is heavier than Kira. Nadir is heavier than Kira. Hana is heavier than Kira. Priya is heavier than Nadir. Nadir is heavier than Bruno. Rosa is heavier than Priya. Mona is faster than everyone here, but Mona is not being ranked. Rosa is heavier than Bruno. Jonas is heavier than Rosa. Bruno is heavier than Hana. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunocorrectreasoning.deduction.order-v2anchorconf 100% · 2.4s · $0.002 · 641 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 925ms · $0.002 · 600 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 215ms · $0.004 · 1511 tok
model answer:
Monacorrectreasoning.deduction.position-v1anchorconf 100% · 9.7s · $0.001 · 351 tok
model answer:
Farahterminal 24/30 correct
TimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1conf — · — · — · — 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/conf`): ``` /proj/build/util.log /proj/conf/draft.md /proj/docs/report.txt /proj/index.cfg /proj/main.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch notes-1.log cd docs mkdir -p ../../proj/conf/logs-2 mv report.txt ../../proj/build/ cp ../../proj/conf/draft.md ../../proj/ touch ../../proj/conf/logs-2/main-7.md mv ../../proj/index.cfg ../../proj/draft-6.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 1.7s · $0.006 · 2443 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q coral notes.txt && 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:
A
C
F
exit:1correctterminal.pipeline.predict-v1conf 100% · 1.7s · $0.006 · 2487 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` max,sales,106,94 kim,sales,43,21 lou,sales,93,42 cy,legal,51,36 fay,eng,84,11 pam,hr,65,39 eli,sales,88,69 dev,hr,7,25 bo,ops,34,35 hal,sales,25,55 ana,legal,109,86 ned,ops,27,14 jon,hr,95,70 gus,sales,67,12 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cy,legal,51,36
ana,legal,109,86correctterminal.exit.chain-v1conf 100% · 2.3s · $0.006 · 2417 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 app.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D true && 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:
A
D
E
G
exit:1correctterminal.fs.tree-v1conf 100% · 1.3s · $0.011 · 4227 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/conf`, `/proj/docs`): ``` /proj/conf/main.cfg /proj/conf/notes.log /proj/docs/setup.log /proj/index.log /proj/report.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv docs/setup.log ./ touch docs/setup-4.cfg mv report.log notes-3.log mkdir -p conf/logs-7 touch build/util-1.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/util-1.md
/proj/conf/main.cfg
/proj/conf/notes.log
/proj/docs/setup-4.cfg
/proj/index.log
/proj/notes-3.log
/proj/setup.logcorrectterminal.pipeline.predict-v1conf 100% · 1.0s · $0.006 · 2245 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` max,sales,100,51 pam,hr,90,12 ana,legal,34,67 dev,eng,50,33 ned,hr,54,28 jon,legal,75,34 hal,hr,76,22 gus,sales,56,30 eli,eng,41,12 cy,legal,54,77 ivy,ops,8,99 kim,legal,115,99 bo,sales,103,13 lou,eng,119,52 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ivy,8correctterminal.fs.tree-v1conf 100% · 993ms · $0.011 · 4316 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/index.txt /proj/conf/util.log /proj/report.md /proj/setup.txt /proj/src/draft.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm conf/util.log cd . mv src/draft.log src/ mv src/draft.log src/ touch conf/setup-6.cfg cp src/draft.log conf/ touch conf/util-2.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/draft.log
/proj/conf/index.txt
/proj/conf/setup-6.cfg
/proj/conf/util-2.md
/proj/report.md
/proj/setup.txt
/proj/src/draft.logcorrectterminal.exit.chain-v1conf 100% · 3.1s · $0.007 · 2830 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 766ms · $0.005 · 2142 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,eng,36,39 max,hr,16,43 ivy,eng,90,37 ned,eng,6,99 jon,hr,92,41 oli,legal,7,86 lou,legal,42,94 pam,sales,52,74 dev,ops,40,49 eli,sales,43,33 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
max,hr,16,43
jon,hr,92,41TimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1conf — · — · — · — tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/src`): ``` /proj/docs/index.md /proj/docs/util.log /proj/report.txt /proj/src/notes.txt /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv docs/util.log docs/report-8.log cd src touch ../../proj/docs/todo-4.cfg mkdir -p ../../proj/assets-3 touch ../../proj/index-5.txt mkdir -p ../../proj/assets-3/docs-3 rm ../../proj/docs/index.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 141ms · $0.007 · 2626 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B test -f app.txt && echo C || echo D true && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
exit:1correctterminal.pipeline.predict-v1conf 100% · 10.0s · $0.008 · 3001 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,eng,58,93 fay,sales,66,21 bo,eng,102,77 gus,hr,82,50 hal,ops,113,11 eli,legal,6,73 lou,ops,22,50 oli,sales,59,47 pam,ops,11,35 max,hr,8,36 cy,sales,54,13 ned,sales,41,76 dev,eng,69,31 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cy,54
fay,66
ned,41TimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1conf — · — · — · — tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`): ``` /proj/logs/setup.log /proj/notes.md /proj/report.log /proj/src/todo.txt /proj/src/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp notes.md logs/ touch src/util-6.md cp logs/notes.md build/ cp build/notes.md src/ cd . touch logs/draft-9.cfg rm notes.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 1.4s · $0.007 · 2576 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 false && echo C || echo D test -f ghost.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 2.4s · $0.004 · 1544 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
pam,legal,79,38
kim,eng,106,74
cy,legal,113,64
dev,eng,89,27
jon,legal,38,54
ned,hr,39,34
gus,eng,17,74
fay,sales,94,70
eli,legal,72,70
ivy,eng,11,58
max,sales,99,76
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
223correctterminal.fs.tree-v1conf 100% · 178ms · $0.011 · 4234 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/assets`): ``` /proj/assets/draft.cfg /proj/logs/todo.txt /proj/logs/util.log /proj/notes.txt /proj/setup.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch logs/setup-8.txt touch src/main-1.md cd src rm ../../proj/logs/setup-8.txt cd ../../proj/logs mv ../../proj/assets/draft.cfg ../../proj/assets/notes-4.md rm todo.txt mv ../../proj/assets/notes-4.md ../../proj/src/ touch index-7.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/logs/index-7.log
/proj/logs/util.log
/proj/notes.txt
/proj/setup.txt
/proj/src/main-1.md
/proj/src/notes-4.mdcorrectterminal.exit.chain-v1conf 100% · 3.2s · $0.006 · 2240 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D false && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 1.6s · $0.005 · 2129 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
max,ops,16,98
kim,legal,35,49
lou,legal,34,61
dev,ops,103,47
gus,hr,16,95
ned,ops,44,24
hal,hr,16,60
pam,sales,73,81
ivy,sales,93,31
oli,ops,94,12
fay,sales,104,29
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 58 { 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:
1TimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1conf — · — · — · — 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/assets`): ``` /proj/assets/main.log /proj/build/report.md /proj/docs/index.txt /proj/setup.log /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch setup-7.cfg mkdir -p logs-5 cd . mv build/report.md build/ rm assets/main.log mv docs/index.txt docs/notes-6.log touch assets/util-4.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 828ms · $0.009 · 3685 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` 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 amber notes.txt && echo A || echo B test -f data.txt && echo C || echo D grep -q dune 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:1correctterminal.pipeline.predict-v1conf 100% · 952ms · $0.003 · 1237 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,legal,71,52 kim,sales,82,69 dev,legal,99,97 jon,legal,115,54 fay,ops,19,89 hal,ops,74,23 ana,ops,116,82 cy,eng,45,32 gus,ops,80,23 max,sales,24,19 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
dev,legal,99,97
jon,legal,115,54correctterminal.exit.chain-v1conf 100% · 1.2s · $0.005 · 2060 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh grep -q 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 G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
H
Z
exit:0correctterminal.fs.tree-v1conf 100% · 1.9s · $0.010 · 4145 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/draft.txt /proj/assets/todo.log /proj/logs/notes.cfg /proj/report.txt /proj/setup.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch assets/index-1.cfg cd . mv report.txt todo-2.log cd . cp logs/notes.cfg docs/ mv assets/index-1.cfg ./ rm docs/notes.cfg cd logs rm ../../proj/index-1.cfg mkdir -p ../../proj/build-5 cd ../../proj/assets ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft.txt
/proj/assets/todo.log
/proj/logs/notes.cfg
/proj/setup.cfg
/proj/todo-2.logTimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1conf — · — · — · — 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/main.txt /proj/docs/notes.log /proj/draft.cfg /proj/logs/index.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 logs/docs-6 mv util.md docs/ cd . touch index-3.md mv logs/index.cfg logs/ touch build/draft-1.txt mv draft.cfg setup-7.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 958ms · $0.006 · 2333 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 grep -q basil notes.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F grep -q coral 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:
B
C
E
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 201ms · $0.002 · 861 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
kim,legal,83,68
lou,sales,54,12
jon,eng,116,87
ned,sales,50,13
fay,hr,63,79
eli,hr,68,48
ivy,ops,15,64
oli,legal,93,35
bo,ops,27,79
ana,hr,82,45
hal,hr,28,15
max,sales,97,93
pam,sales,68,64
dev,eng,43,37
```
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:
241TimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1anchorconf — · — · — · — tok
model answer:
(none extracted)correctterminal.pipeline.predict-v1anchorconf 100% · 912ms · $0.006 · 2231 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 1.0s · $0.006 · 2487 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 10.0s · $0.003 · 1294 tok
model answer:
1vision ocr 28/30 correct
wrongvision.ocr.code-hunt-v1conf 95% · 2.8s · $0.009 · 3469 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
TYTWRRcorrectvision.ocr.table-read-v1conf 100% · 492ms · $0.001 · 347 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
94correctvision.ocr.table-read-v1conf 100% · 2.5s · $0.001 · 273 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
23correctvision.ocr.code-hunt-v1conf 100% · 1.5s · $0.002 · 541 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ATYMHXcorrectvision.ocr.table-read-v1conf 100% · 1.2s · $0.002 · 438 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
185correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.001 · 335 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NE9ARHJTimeoutError: The operation was aborted due to timeoutvision.ocr.code-hunt-v1conf — · — · — · — tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctvision.ocr.code-hunt-v1conf 98% · 2.4s · $0.003 · 1154 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EJMDRWCcorrectvision.ocr.table-read-v1conf 100% · 2.6s · $0.001 · 219 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
93correctvision.ocr.code-hunt-v1conf 100% · 1.4s · $0.002 · 649 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
THFEXCcorrectvision.ocr.table-read-v1conf 100% · 1.1s · $0.001 · 278 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
141correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.002 · 671 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
25correctvision.ocr.code-hunt-v1conf 100% · 4.2s · $0.002 · 705 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
7CUDWMcorrectvision.ocr.table-read-v1conf 100% · 881ms · $0.001 · 293 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
155correctvision.ocr.code-hunt-v1conf 100% · 2.7s · $0.002 · 773 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
PYP3HM4Wcorrectvision.ocr.table-read-v1conf 100% · 1.8s · $0.001 · 208 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
81correctvision.ocr.code-hunt-v1conf 100% · 2.4s · $0.001 · 222 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3A9TMKcorrectvision.ocr.table-read-v1conf 100% · 2.7s · $0.002 · 523 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
266correctvision.ocr.code-hunt-v1conf 100% · 2.4s · $0.001 · 229 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
MR3ECWHKcorrectvision.ocr.table-read-v1conf 100% · 1.4s · $0.001 · 176 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
92correctvision.ocr.code-hunt-v1conf 100% · 1.6s · $0.002 · 726 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
JDAAYEMWcorrectvision.ocr.table-read-v1conf 100% · 2.9s · $0.001 · 156 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
37correctvision.ocr.table-read-v1conf 100% · 2.5s · $0.003 · 1049 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
99correctvision.ocr.code-hunt-v1conf 100% · 10.0s · $0.001 · 250 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
KHRVACPHcorrectvision.ocr.code-hunt-v1conf 100% · 10.0s · $0.001 · 228 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
XV9HFUcorrectvision.ocr.table-read-v1conf 100% · 1.0s · $0.001 · 344 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
158correctvision.ocr.table-read-v1anchorconf 100% · 3.0s · $0.001 · 203 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 3.1s · $0.003 · 1124 tok
model answer:
YH9E4AWPcorrectvision.ocr.code-hunt-v1anchorconf 100% · 3.6s · $0.002 · 529 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1anchorconf 100% · 3.8s · $0.001 · 186 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit770
- 2026-08-05v0.2.0index_fit770
- 2026-08-05v0.2.0index_fit771
- 2026-08-05v0.2.0index_fit771
- 2026-08-05v0.2.0index_fit771
- 2026-08-05v0.2.0index_fit773
- 2026-08-05v0.2.0index_fit773
- 2026-08-05v0.2.0index_fit775
- 2026-08-05v0.2.0index_fit775
- 2026-08-05v0.2.0index_fit776
- 2026-08-05v0.2.0index_fit777
- 2026-08-05v0.2.0index_fit772
- 2026-08-05v0.2.0index_fit771
- 2026-08-05v0.2.0index_fit772
- 2026-08-05v0.2.0index_fit773
- 2026-08-05v0.2.0index_fit774
- 2026-08-05v0.2.0index_fit775
- 2026-08-05v0.2.0index_fit775
- 2026-08-05v0.2.0index_fit775
- 2026-08-05v0.2.0index_fit771