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OpenAI: GPT-5.4 Mini
openai/gpt-5.4-mini · openai · context 400 000 · in $0.750/1M · out $4.50/1M
Global Index
514
95% CI [476–551] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 608 [504–712] | 0.466 | 0.78 | 0.61 | 0.000 | 418ms | $1.49 | |
| code | 354 [262–447] | 0.329 | 0.67 | 0.57 | 0.212 | 472ms | $0.548 | |
| instruction following | 308 [229–387] | 0.257 | 0.70 | 0.49 | 0.288 | 392ms | $0.265 | |
| knowledge | 725 [553–897] | 0.542 | 1.00 | 1.00 | 0.000 | 471ms | $0.138 | |
| math | 443 [370–517] | 0.223 | 0.68 | 0.57 | 0.000 | 417ms | $0.457 | |
| multilingual | 704 [546–862] | 0.618 | 0.98 | 0.93 | 0.077 | 462ms | $0.177 | |
| reasoning | 220 [172–267] | 0.121 | 0.70 | 0.36 | 0.192 | 409ms | $0.196 | |
| terminal | 649 [543–756] | 0.499 | 0.88 | 0.68 | 0.000 | 436ms | $0.370 | |
| vision ocr | 612 [488–736] | 0.394 | 0.93 | 0.86 | 0.000 | 530ms | $0.696 |
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 18/30 correct
correctagentic.tools.ledger-v1conf 99% · 627ms · $0.001 · 161 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: $865
- echo: $202
- bravo: $180
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $284 from "echo" to "bravo"
2. pay $328 from "echo" to "bravo"
3. pay $148 from "kilo" to "echo"
4. pay $518 from "echo" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":82}},
{"tool":"transfer","args":{"from":"echo","to":"bravo","amount":284}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":328}},
{"tool":"transfer","args":{"from":"echo","to":"bravo","amount":328}},
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":148}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":370}},
{"tool":"transfer","args":{"from":"echo","to":"bravo","amount":518}}
]wrongagentic.tools.context-load-v1conf 99% · 482ms · $0.004 · 233 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 (284 records, format: id|customer|region|item|qty|status):
```
2133|fulton|west|pump|22|pending
1179|dorian|east|frame|55|paid
1708|birch|east|rotor|55|held
1733|cobalt|south|frame|15|pending
1483|ionic|south|rotor|32|paid
2128|gale|east|pump|58|shipped
1135|fulton|north|frame|36|pending
1163|ember|south|panel|46|shipped
2099|harbor|north|rotor|88|shipped
1306|fulton|east|rotor|99|shipped
1524|harbor|north|pump|23|held
1285|birch|south|valve|54|pending
1239|juno|west|frame|75|held
2093|fulton|south|valve|17|held
1903|ember|north|pump|12|paid
1945|fulton|north|rotor|18|pending
1755|fulton|south|rotor|86|shipped
2218|birch|north|panel|13|pending
2027|harbor|east|panel|90|pending
1317|harbor|east|rotor|54|held
2040|ember|south|rotor|13|paid
2155|juno|south|cable|29|held
2141|ember|south|panel|43|shipped
1843|juno|west|gasket|18|shipped
1801|fulton|north|panel|70|held
1980|birch|south|valve|48|pending
2194|juno|north|sensor|57|paid
1874|fulton|south|pump|47|shipped
1164|fulton|west|sensor|64|shipped
1233|acme|north|frame|60|held
1675|cobalt|north|valve|78|pending
1889|gale|south|gasket|81|pending
1611|harbor|north|pump|21|paid
1552|birch|west|panel|34|shipped
1859|harbor|west|cable|14|pending
1831|fulton|north|valve|52|shipped
1589|fulton|north|sensor|36|held
1711|fulton|west|frame|19|shipped
2122|fulton|west|rotor|88|paid
1273|dorian|east|cable|50|pending
2212|ember|south|cable|15|paid
1290|acme|north|cable|51|shipped
1637|juno|east|sensor|94|shipped
2179|ember|east|gasket|75|held
1274|acme|east|valve|64|pending
2080|ember|west|rotor|98|paid
1456|dorian|east|rotor|59|pending
1168|fulton|east|rotor|46|pending
1279|birch|west|rotor|73|pending
1767|gale|east|rotor|80|shipped
1251|juno|east|pump|30|pending
1570|acme|east|sensor|24|pending
1312|birch|east|panel|50|shipped
1921|harbor|east|pump|34|shipped
2024|juno|north|frame|34|pending
2010|dorian|south|sensor|58|pending
1104|fulton|north|sensor|87|pending
1152|fulton|south|frame|98|pending
1994|birch|south|gasket|58|held
1854|fulton|west|gasket|32|paid
1433|harbor|west|frame|43|shipped
1948|cobalt|east|rotor|39|shipped
1406|fulton|south|gasket|67|paid
1265|harbor|north|sensor|22|paid
2220|dorian|east|pump|37|shipped
1788|birch|east|gasket|92|pending
1150|fulton|north|frame|13|pending
2135|fulton|south|frame|30|shipped
1318|gale|east|gasket|62|pending
1669|gale|west|cable|99|shipped
1428|juno|north|frame|25|shipped
1826|fulton|north|valve|65|pending
1581|cobalt|south|valve|44|held
1760|dorian|east|valve|68|pending
2113|ember|north|valve|47|pending
2189|ionic|east|gasket|82|held
1213|cobalt|north|sensor|83|pending
1502|cobalt|west|valve|30|shipped
1454|ember|west|pump|90|pending
2071|birch|south|cable|92|shipped
1655|ember|east|pump|81|pending
1911|gale|east|gasket|49|paid
1415|ember|north|sensor|49|pending
1927|cobalt|south|gasket|12|paid
1587|ember|east|valve|83|paid
1488|dorian|west|pump|29|paid
1219|cobalt|west|cable|72|paid
1545|gale|east|cable|37|paid
2046|harbor|south|pump|22|paid
1386|gale|south|rotor|42|pending
1479|harbor|west|panel|33|paid
1327|ember|east|pump|21|paid
1511|birch|south|sensor|65|held
2118|cobalt|south|frame|44|pending
1852|ionic|north|frame|23|shipped
2001|acme|north|cable|57|pending
1314|ionic|west|gasket|69|held
1719|fulton|south|gasket|46|paid
1211|cobalt|north|gasket|34|held
2200|ionic|west|pump|98|held
1476|gale|north|frame|70|paid
2086|acme|north|sensor|59|pending
2232|cobalt|north|panel|67|pending
1276|ember|north|cable|41|pending
1328|ionic|west|gasket|64|paid
1202|ionic|north|gasket|26|held
1427|dorian|south|panel|15|shipped
1985|ember|north|gasket|50|shipped
1377|harbor|north|valve|28|held
2106|ionic|north|panel|86|pending
1590|gale|north|rotor|51|pending
1399|fulton|north|cable|23|shipped
1656|juno|south|panel|77|held
1572|fulton|north|pump|64|paid
1405|acme|west|rotor|27|shipped
1619|fulton|south|panel|73|pending
1531|gale|west|rotor|97|held
1642|cobalt|north|pump|21|held
1934|juno|west|cable|11|held
2172|gale|north|cable|44|paid
1558|dorian|south|pump|52|paid
1192|fulton|south|frame|72|paid
1416|harbor|north|gasket|20|held
1374|harbor|east|rotor|28|pending
2160|dorian|east|cable|33|shipped
1375|birch|south|panel|88|shipped
1872|gale|south|gasket|38|pending
1426|juno|north|rotor|78|shipped
1131|fulton|north|panel|70|held
1471|acme|west|sensor|94|held
1112|fulton|north|rotor|95|paid
1140|fulton|east|rotor|90|pending
1335|fulton|north|valve|74|shipped
1188|dorian|west|sensor|14|shipped
1880|dorian|east|gasket|25|shipped
1424|gale|east|sensor|11|held
1379|harbor|north|sensor|63|paid
1506|ionic|west|cable|45|pending
1504|harbor|west|pump|45|pending
1227|gale|west|rotor|66|paid
1748|juno|east|frame|74|paid
1860|ionic|east|sensor|13|pending
1943|fulton|west|gasket|31|pending
1293|juno|west|cable|66|paid
1392|harbor|south|rotor|28|pending
1653|cobalt|north|rotor|46|paid
1419|ember|south|frame|56|pending
1732|harbor|west|gasket|93|paid
1836|birch|east|frame|69|held
1622|ember|west|frame|77|pending
1225|juno|west|pump|26|pending
1861|juno|east|valve|88|shipped
2195|acme|south|rotor|72|shipped
1805|gale|west|valve|96|held
1204|acme|west|rotor|22|held
1449|acme|east|sensor|25|paid
2143|dorian|west|cable|70|shipped
1368|birch|south|rotor|38|pending
1990|gale|south|pump|30|pending
1362|cobalt|north|frame|45|paid
1904|harbor|north|frame|40|shipped
1684|dorian|west|cable|69|paid
1175|fulton|south|rotor|43|held
1242|harbor|south|valve|94|pending
2124|harbor|west|gasket|65|shipped
2058|dorian|west|pump|60|held
2145|ionic|south|frame|70|pending
2165|dorian|south|gasket|30|held
1885|cobalt|south|valve|46|paid
1759|ember|north|pump|39|shipped
1696|birch|west|frame|53|shipped
1156|fulton|north|gasket|75|held
1691|dorian|north|gasket|72|shipped
1794|fulton|south|cable|12|shipped
2244|ember|west|sensor|86|held
1932|cobalt|south|gasket|37|pending
1689|gale|north|rotor|56|paid
1774|gale|west|panel|82|paid
2082|harbor|east|pump|81|paid
1494|cobalt|south|valve|28|paid
2186|harbor|south|sensor|94|shipped
1451|harbor|south|rotor|61|pending
1361|cobalt|west|cable|12|held
1349|fulton|south|rotor|78|held
1953|acme|south|frame|47|held
1741|fulton|north|pump|63|shipped
1105|fulton|west|cable|93|pending
2214|harbor|north|cable|16|shipped
1937|ember|east|valve|53|paid
1578|birch|south|rotor|77|shipped
2087|harbor|south|rotor|64|held
2032|birch|north|valve|33|shipped
1249|gale|north|panel|72|held
2077|birch|west|rotor|27|held
1867|gale|west|rotor|94|pending
1445|ionic|north|gasket|49|pending
1510|ember|west|panel|52|pending
1940|birch|south|sensor|32|held
1629|acme|south|pump|70|paid
1902|gale|south|panel|50|paid
1143|fulton|north|rotor|45|held
1837|acme|east|gasket|27|held
1603|harbor|north|sensor|59|pending
1597|juno|south|panel|16|held
2065|ember|north|rotor|84|pending
2237|fulton|west|pump|41|shipped
1809|acme|east|frame|74|paid
1462|fulton|north|frame|79|pending
1942|acme|west|valve|68|shipped
1864|birch|south|frame|96|pending
1468|acme|east|cable|98|pending
1737|ionic|west|cable|20|pending
2033|harbor|east|gasket|31|paid
1893|ionic|west|gasket|50|pending
1118|fulton|north|cable|26|pending
1407|acme|north|valve|23|paid
1437|juno|east|frame|62|paid
2150|cobalt|south|frame|83|paid
1820|juno|south|rotor|61|held
1278|juno|south|pump|96|held
1441|acme|east|cable|57|pending
1186|harbor|east|panel|92|paid
2224|ionic|south|gasket|43|held
1847|harbor|north|sensor|49|shipped
2207|juno|south|rotor|74|pending
1726|juno|north|gasket|95|pending
1169|juno|north|frame|58|shipped
1517|birch|north|panel|32|pending
1240|harbor|west|pump|48|shipped
1197|cobalt|south|panel|90|held
1781|acme|west|cable|80|held
1601|gale|north|valve|82|held
2116|dorian|north|panel|62|pending
1569|cobalt|north|frame|74|pending
1963|dorian|east|panel|56|paid
2163|juno|north|cable|37|paid
1354|ember|west|gasket|86|paid
1916|harbor|west|cable|20|pending
1899|fulton|east|cable|12|held
2156|cobalt|south|frame|70|paid
2051|gale|west|sensor|23|shipped
1679|cobalt|east|rotor|99|pending
1348|gale|east|frame|26|paid
1969|dorian|west|valve|39|held
1474|cobalt|north|frame|90|held
1300|fulton|south|valve|56|paid
1556|gale|west|cable|22|pending
1958|gale|south|valve|68|pending
1357|ember|north|gasket|72|held
1975|acme|south|cable|71|held
1593|juno|north|frame|75|held
1258|dorian|east|panel|33|held
1929|cobalt|south|sensor|81|paid
1938|birch|east|pump|20|pending
2210|gale|south|valve|81|pending
1501|fulton|south|frame|87|pending
1387|harbor|west|sensor|15|paid
1410|gale|north|valve|46|paid
1320|gale|east|gasket|42|paid
1964|gale|south|sensor|38|shipped
1663|birch|west|frame|73|held
1124|fulton|east|sensor|78|pending
2121|cobalt|south|pump|54|pending
1647|harbor|east|sensor|54|shipped
1564|dorian|north|gasket|41|held
2017|juno|west|gasket|45|paid
1610|ember|south|frame|21|shipped
1342|juno|east|cable|56|pending
1838|acme|east|valve|46|held
1685|gale|east|cable|70|held
2230|cobalt|north|rotor|34|paid
1630|ionic|east|rotor|17|pending
1644|birch|west|gasket|86|paid
1701|ember|east|frame|35|pending
2006|ember|east|sensor|28|pending
1814|juno|west|rotor|65|held
1717|fulton|east|cable|34|paid
1614|fulton|north|frame|30|paid
1440|gale|west|panel|52|held
1835|fulton|north|gasket|52|pending
1542|harbor|north|valve|41|paid
1266|acme|south|sensor|97|pending
1857|harbor|west|panel|99|paid
1537|fulton|east|frame|68|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[{"tool":"cancel_order","args":{"order_id":1135}},{"tool":"cancel_order","args":{"order_id":1150}},{"tool":"cancel_order","args":{"order_id":1945}},{"tool":"restock","args":{"item":"sensor","qty":87}},{"tool":"restock","args":{"item":"gasket","qty":75}},{"tool":"cancel_order","args":{"order_id":1462}},{"tool":"cancel_order","args":{"order_id":1801}},{"tool":"restock","args":{"item":"valve","qty":65}},{"tool":"cancel_order","args":{"order_id":1835}},{"tool":"cancel_order","args":{"order_id":1943}},{"tool":"cancel_order","args":{"order_id":2024}},{"tool":"restock","args":{"item":"panel","qty":70}},{"tool":"restock","args":{"item":"pump","qty":64}},{"tool":"restock","args":{"item":"frame","qty":79}}]correctagentic.tools.triage-v1conf 99% · 360ms · $0.001 · 150 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 → dubois
- infra → chen
- payments → okafor
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "API latency spikes" (category: infra, priority 3)
3. "API latency spikes" (category: infra, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"dubois"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":3}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"chen"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":3}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-2"}}
]wrongagentic.tools.context-load-v1conf 99% · 314ms · $0.004 · 136 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 (265 records, format: id|customer|region|item|qty|status):
```
1539|gale|east|sensor|35|pending
2316|gale|east|gasket|22|held
1861|cobalt|south|frame|92|held
1573|ember|east|valve|49|held
1567|acme|west|pump|93|shipped
2238|cobalt|east|rotor|91|shipped
2174|gale|south|frame|34|shipped
2000|birch|east|frame|87|pending
1999|harbor|south|sensor|19|pending
2385|dorian|east|valve|61|pending
1498|cobalt|north|sensor|75|held
2395|acme|east|cable|30|held
1984|cobalt|east|frame|76|held
1985|harbor|north|rotor|88|shipped
2292|ember|west|valve|90|shipped
1574|harbor|south|pump|40|shipped
2413|fulton|west|cable|96|held
2249|harbor|west|pump|46|pending
1470|juno|east|frame|90|paid
1599|ionic|south|frame|72|shipped
2179|fulton|south|rotor|46|paid
2384|acme|south|frame|62|shipped
2225|fulton|south|frame|72|paid
1553|fulton|north|pump|39|shipped
2120|birch|south|pump|40|pending
2235|dorian|south|panel|65|held
1916|birch|west|sensor|49|paid
2429|acme|south|valve|43|held
2032|fulton|south|panel|59|paid
1667|ember|west|frame|57|shipped
1875|juno|east|rotor|92|pending
2275|dorian|west|rotor|22|pending
1613|juno|south|valve|37|pending
1870|cobalt|west|cable|84|shipped
1886|ember|west|cable|65|held
2333|birch|north|panel|47|paid
1883|fulton|south|valve|14|shipped
1890|juno|west|rotor|17|paid
1960|ember|east|gasket|87|paid
1410|fulton|west|rotor|55|pending
2357|juno|west|panel|46|shipped
2144|gale|west|frame|73|shipped
2364|acme|west|gasket|27|pending
1434|fulton|west|panel|81|pending
1760|harbor|north|valve|82|paid
2435|gale|east|cable|92|held
2137|acme|north|sensor|42|shipped
2043|juno|west|sensor|97|pending
1496|acme|north|sensor|64|held
2221|acme|east|valve|90|paid
1705|ember|west|cable|70|shipped
2303|ember|east|frame|68|shipped
2038|fulton|east|frame|75|paid
2007|gale|east|rotor|56|held
1698|gale|east|rotor|27|paid
2453|fulton|north|frame|71|pending
1813|cobalt|west|cable|74|shipped
1651|juno|south|panel|37|shipped
1689|fulton|north|pump|98|pending
2459|dorian|north|panel|41|shipped
1601|gale|south|pump|51|paid
2131|juno|south|gasket|10|held
1516|ember|north|cable|82|shipped
1631|birch|east|rotor|71|shipped
1854|dorian|east|sensor|98|held
1967|ember|south|gasket|91|shipped
1903|acme|east|sensor|53|pending
1543|juno|east|rotor|16|held
1965|acme|west|cable|22|paid
1816|dorian|east|pump|29|paid
1753|fulton|east|sensor|40|held
1821|dorian|east|frame|98|paid
1696|dorian|south|rotor|13|held
1825|harbor|west|pump|53|pending
1848|acme|south|pump|22|shipped
2268|acme|west|pump|94|held
2065|birch|west|cable|34|shipped
1563|cobalt|north|cable|95|shipped
2209|ember|north|valve|56|pending
2128|dorian|south|valve|65|paid
1421|fulton|west|sensor|70|pending
1519|ember|west|frame|50|held
1491|juno|south|gasket|67|held
1829|ember|east|pump|16|shipped
1933|ionic|east|valve|21|paid
1716|cobalt|south|frame|69|held
1669|gale|south|valve|35|pending
2018|cobalt|south|panel|62|shipped
2253|birch|west|sensor|80|paid
2420|gale|west|cable|31|held
1794|dorian|south|cable|52|paid
1806|juno|west|panel|67|pending
1444|fulton|north|pump|63|pending
1660|birch|south|rotor|12|paid
1626|fulton|south|pump|23|held
1454|fulton|east|panel|79|shipped
1711|fulton|east|pump|42|pending
2143|dorian|north|sensor|77|paid
1658|ember|north|gasket|26|shipped
1528|ember|south|rotor|82|pending
2166|cobalt|north|pump|24|held
1682|acme|west|valve|92|held
1632|cobalt|east|frame|31|paid
1718|birch|east|gasket|15|pending
1790|birch|south|panel|26|paid
2046|juno|south|gasket|14|pending
1862|dorian|east|gasket|36|held
1905|ember|south|valve|99|paid
1460|dorian|south|cable|82|held
2028|ionic|west|valve|16|shipped
2033|ember|north|pump|47|shipped
2245|gale|east|rotor|55|paid
2151|gale|north|pump|31|held
2327|fulton|west|panel|14|pending
2133|birch|west|frame|68|paid
1579|ember|west|valve|87|shipped
2257|harbor|south|gasket|86|pending
1668|ember|north|sensor|43|shipped
2345|ionic|south|pump|45|held
2330|juno|north|panel|43|paid
2079|harbor|north|cable|40|shipped
2194|acme|east|frame|63|paid
1465|harbor|north|valve|92|pending
2059|juno|east|sensor|48|paid
2148|gale|south|pump|21|pending
2288|gale|north|panel|25|pending
1944|ionic|west|gasket|92|pending
1615|harbor|west|cable|94|pending
1589|gale|north|sensor|59|shipped
1404|fulton|east|frame|33|pending
1546|dorian|north|frame|29|pending
2197|juno|east|gasket|95|shipped
1484|birch|west|panel|72|paid
2372|acme|north|valve|25|pending
2248|gale|south|sensor|54|pending
2116|juno|east|sensor|40|shipped
1983|fulton|east|frame|90|held
2072|dorian|south|sensor|93|held
1939|dorian|south|cable|55|held
2111|fulton|west|rotor|31|held
1596|harbor|west|panel|65|held
2296|dorian|north|pump|47|shipped
2281|harbor|west|sensor|36|shipped
1763|birch|west|cable|67|held
1556|harbor|north|gasket|57|paid
1796|birch|south|rotor|66|paid
1747|juno|west|gasket|87|paid
1725|dorian|west|cable|79|shipped
1913|ember|east|cable|52|held
1785|cobalt|west|frame|97|shipped
1824|birch|west|pump|58|held
1729|fulton|east|frame|67|held
2083|gale|east|sensor|71|paid
2020|birch|south|gasket|32|pending
1989|cobalt|west|gasket|26|paid
1969|dorian|west|gasket|27|shipped
1778|cobalt|west|rotor|65|shipped
1440|fulton|east|sensor|26|pending
1923|dorian|south|rotor|35|shipped
2110|gale|south|frame|78|shipped
2023|gale|north|frame|93|shipped
1865|dorian|east|gasket|39|paid
1842|dorian|west|gasket|93|paid
2228|ember|north|sensor|24|paid
1949|fulton|north|panel|52|shipped
2313|ionic|north|valve|25|pending
2448|dorian|east|rotor|51|held
1646|fulton|south|sensor|15|shipped
1899|juno|east|cable|13|held
2442|ember|east|panel|55|paid
1425|fulton|east|cable|74|paid
2189|ember|west|frame|25|held
2053|ember|west|cable|45|pending
1606|ember|south|rotor|61|held
2027|cobalt|west|valve|88|shipped
2165|fulton|east|cable|74|pending
2401|ember|north|gasket|93|pending
2011|harbor|south|gasket|69|held
1505|ionic|north|cable|57|shipped
2233|gale|north|valve|39|held
2105|ember|west|panel|29|shipped
1418|fulton|east|gasket|29|pending
2122|acme|west|valve|66|paid
2390|cobalt|north|cable|76|held
2160|gale|north|rotor|33|shipped
2306|dorian|east|cable|25|paid
1480|ember|north|rotor|12|held
2426|birch|south|frame|79|pending
1487|acme|north|rotor|51|pending
2378|cobalt|east|gasket|21|shipped
2170|harbor|west|panel|97|shipped
1740|harbor|east|rotor|71|shipped
1586|cobalt|north|frame|30|held
2359|dorian|west|frame|27|pending
2068|fulton|north|sensor|58|held
1475|juno|west|cable|46|pending
2322|ionic|east|frame|87|shipped
2204|ember|east|valve|17|pending
1835|gale|south|frame|17|held
1831|juno|south|gasket|44|shipped
1843|juno|west|rotor|74|held
1677|fulton|west|cable|39|paid
2127|harbor|south|sensor|29|pending
1770|fulton|east|valve|19|held
2406|fulton|east|rotor|25|pending
1976|fulton|south|cable|13|held
1674|gale|west|rotor|84|pending
1877|ionic|east|gasket|25|paid
1781|birch|west|gasket|82|pending
2012|acme|north|cable|12|paid
1771|acme|east|sensor|27|pending
1864|ember|south|rotor|31|shipped
2341|fulton|west|pump|24|pending
2338|dorian|south|panel|59|held
1585|juno|east|pump|48|shipped
1439|fulton|east|valve|13|shipped
1941|acme|south|panel|74|held
1600|dorian|west|cable|45|held
1427|fulton|east|pump|88|pending
1801|acme|north|cable|81|paid
2365|cobalt|east|sensor|70|pending
2432|ember|east|valve|28|held
1510|fulton|north|panel|46|shipped
1610|gale|east|frame|62|shipped
1635|ionic|south|rotor|34|pending
2057|ionic|north|cable|99|paid
1995|juno|east|pump|98|paid
2088|gale|north|cable|99|pending
2455|harbor|west|panel|65|paid
1902|fulton|east|valve|37|pending
1874|cobalt|south|panel|60|held
2262|ember|west|frame|52|shipped
1701|cobalt|east|sensor|63|paid
1625|juno|west|rotor|84|held
1893|fulton|north|frame|90|shipped
1956|fulton|south|cable|62|pending
1412|fulton|east|rotor|62|shipped
1986|fulton|east|cable|28|pending
2155|ember|north|rotor|45|paid
2091|cobalt|south|sensor|65|pending
1622|ember|south|valve|31|pending
2098|ionic|north|pump|47|held
1522|ionic|west|pump|77|shipped
1735|birch|south|gasket|72|held
1533|juno|west|gasket|97|pending
2319|fulton|north|sensor|40|paid
2080|cobalt|east|panel|17|paid
1867|ionic|west|cable|83|shipped
2196|cobalt|east|frame|56|paid
2436|ember|east|panel|55|pending
2369|ember|north|frame|67|held
1930|ionic|east|rotor|74|paid
1737|gale|north|cable|42|pending
1463|birch|north|sensor|83|shipped
2184|birch|east|rotor|34|held
1450|fulton|east|cable|66|paid
2445|dorian|south|pump|19|held
1871|ember|north|pump|76|shipped
1639|cobalt|north|valve|62|shipped
2350|harbor|east|panel|91|held
1457|fulton|west|gasket|69|held
2214|fulton|north|panel|22|shipped
1878|birch|west|sensor|74|held
1978|ionic|west|cable|78|paid
1908|fulton|south|rotor|64|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, 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":1711}},
{"tool":"cancel_order","args":{"order_id":1404}},
{"tool":"cancel_order","args":{"order_id":1902}},
{"tool":"cancel_order","args":{"order_id":1986}},
{"tool":"restock","args":{"item":"cable","qty":74}},
{"tool":"restock","args":{"item":"gasket","qty":29}},
{"tool":"restock","args":{"item":"pump","qty":88}}
]correctagentic.tools.deploy-v1conf 98% · 314ms · $0.001 · 87 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)
- search: gateway
- reports: notifier, search
- notifier: 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 "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"health_check","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"reports"}}
]wrongagentic.tools.ledger-v1conf 99% · 524ms · $0.001 · 170 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $272
- echo: $163
- lima: $681
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $176 from "echo" to "lima"
2. pay $276 from "oscar" to "echo"
3. pay $208 from "oscar" to "lima"
4. pay $147 from "lima" to "echo"
5. pay $472 from "echo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"echo","to":"lima","amount":176}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":180}},
{"tool":"transfer","args":{"from":"oscar","to":"echo","amount":276}},
{"tool":"transfer","args":{"from":"oscar","to":"lima","amount":208}},
{"tool":"transfer","args":{"from":"lima","to":"echo","amount":147}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":462}},
{"tool":"transfer","args":{"from":"echo","to":"oscar","amount":472}}
]correctagentic.tools.triage-v1conf 99% · 519ms · $0.001 · 190 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → okafor
- payments → dubois
- data → novak
INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 7)
2. "uploads failing intermittently" (category: infra, priority 7)
3. "records missing after import" (category: data, 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":7}},
{"tool":"escalate","args":{"ticket_id":"TCK-1"}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"uploads failing intermittently","priority":7}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"records missing after import","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-3"}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"novak"}}
]correctagentic.tools.deploy-v1conf 99% · 586ms · $0.001 · 83 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: auth-svc
- auth-svc: (none)
- search: auth-svc, billing
- reports: auth-svc, 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"health_check","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"reports"}}
]wrongagentic.tools.ledger-v1conf 99% · 325ms · $0.001 · 174 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: $480
- kilo: $242
- bravo: $709
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $102 from "bravo" to "kilo"
2. pay $541 from "kilo" to "lima"
3. pay $529 from "lima" to "kilo"
4. pay $481 from "lima" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"bravo","to":"kilo","amount":102}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":359}},
{"tool":"transfer","args":{"from":"kilo","to":"lima","amount":541}},
{"tool":"top_up_from_reserve","args":{"account":"lima","amount":112}},
{"tool":"transfer","args":{"from":"lima","to":"kilo","amount":529}},
{"tool":"top_up_from_reserve","args":{"account":"lima","amount":481}},
{"tool":"transfer","args":{"from":"lima","to":"kilo","amount":481}}
]correctagentic.tools.triage-v1conf 99% · 371ms · $0.001 · 154 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 → tanaka
- infra → haddad
- payments → chen
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "uploads failing intermittently" (category: infra, priority 5)
3. "uploads failing intermittently" (category: infra, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"tanaka"}},
{"tool":"create_ticket","args":{"title":"uploads failing intermittently","priority":5}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"haddad"}},
{"tool":"create_ticket","args":{"title":"uploads failing intermittently","priority":5}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-2"}}
]correctagentic.tools.deploy-v1conf 98% · 1.9s · $0.001 · 82 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: reports
- notifier: billing, reports
- reports: (none)
- auth-svc: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"auth-svc"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"notifier"}}
]wrongagentic.tools.context-load-v1conf 98% · 990ms · $0.003 · 210 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 (163 records, format: id|customer|region|item|qty|status):
```
1384|dorian|east|gasket|16|held
1347|ember|west|sensor|44|shipped
1564|gale|south|frame|62|paid
1429|harbor|west|rotor|17|pending
1534|ionic|east|panel|95|pending
1322|birch|east|rotor|91|pending
1466|juno|north|rotor|41|pending
1626|gale|south|cable|16|pending
1372|fulton|west|panel|68|pending
1576|fulton|west|frame|85|held
1314|fulton|north|frame|31|paid
1410|ionic|north|pump|87|pending
1743|birch|south|cable|68|paid
1198|harbor|west|cable|66|pending
1797|juno|south|rotor|12|shipped
1219|harbor|west|gasket|90|paid
1413|ember|south|panel|81|shipped
1333|fulton|north|cable|71|held
1190|harbor|west|valve|35|pending
1566|ember|west|pump|80|held
1502|ember|east|valve|66|paid
1343|cobalt|north|rotor|24|paid
1464|cobalt|west|valve|89|held
1412|birch|east|pump|93|paid
1390|juno|west|panel|85|held
1294|birch|west|frame|16|pending
1477|ember|east|valve|52|shipped
1850|ionic|west|frame|23|paid
1835|birch|north|valve|11|held
1236|acme|east|valve|84|paid
1270|acme|east|rotor|89|held
1851|cobalt|south|gasket|77|pending
1827|fulton|west|panel|14|shipped
1776|fulton|south|gasket|26|pending
1266|juno|east|cable|72|paid
1301|gale|south|pump|55|paid
1642|birch|east|gasket|96|held
1495|dorian|north|gasket|42|paid
1799|gale|north|sensor|48|paid
1487|ember|north|valve|51|paid
1549|acme|south|cable|84|pending
1450|ember|south|valve|90|paid
1273|dorian|west|pump|29|shipped
1341|dorian|west|panel|15|paid
1246|harbor|west|valve|33|paid
1654|juno|east|valve|64|paid
1511|juno|east|rotor|96|pending
1621|ember|east|rotor|88|pending
1286|ionic|east|sensor|41|shipped
1722|acme|west|frame|30|held
1791|ember|south|rotor|97|shipped
1599|harbor|north|cable|54|held
1231|harbor|south|gasket|18|pending
1741|dorian|west|rotor|71|paid
1402|acme|east|rotor|29|shipped
1684|ember|east|rotor|75|paid
1457|harbor|north|rotor|94|held
1704|ember|south|rotor|45|shipped
1522|cobalt|south|pump|59|paid
1361|fulton|east|frame|62|pending
1825|acme|west|frame|74|pending
1747|dorian|west|gasket|95|held
1590|gale|east|cable|38|pending
1291|fulton|north|rotor|93|shipped
1252|gale|west|pump|54|paid
1366|harbor|west|pump|69|shipped
1703|dorian|east|valve|49|pending
1637|gale|west|valve|31|shipped
1224|harbor|west|sensor|68|pending
1734|cobalt|south|pump|50|shipped
1758|ionic|south|sensor|43|paid
1694|dorian|west|panel|55|pending
1811|gale|north|panel|61|held
1742|harbor|east|valve|35|shipped
1847|dorian|north|panel|72|held
1209|harbor|west|rotor|12|pending
1572|gale|east|valve|76|held
1407|birch|north|cable|95|held
1831|gale|west|frame|63|paid
1359|harbor|north|panel|79|pending
1377|cobalt|south|valve|26|pending
1519|birch|north|pump|77|shipped
1535|dorian|south|gasket|71|held
1392|fulton|north|cable|39|shipped
1491|acme|west|gasket|79|pending
1764|cobalt|west|frame|10|held
1351|birch|east|pump|30|paid
1529|juno|east|cable|73|shipped
1517|cobalt|east|cable|43|pending
1194|harbor|west|sensor|33|shipped
1258|dorian|north|cable|20|held
1530|ionic|west|panel|52|shipped
1583|acme|east|panel|26|held
1721|harbor|south|sensor|47|pending
1555|dorian|north|frame|67|paid
1193|harbor|south|cable|69|pending
1699|cobalt|east|pump|79|held
1269|harbor|north|frame|42|pending
1468|harbor|east|valve|73|pending
1420|juno|west|cable|87|held
1752|fulton|north|cable|37|pending
1435|harbor|east|pump|79|pending
1329|gale|west|rotor|64|held
1592|gale|east|frame|44|shipped
1400|gale|south|gasket|28|shipped
1241|birch|south|sensor|79|shipped
1394|dorian|south|frame|90|pending
1206|harbor|west|pump|16|held
1560|juno|west|sensor|55|paid
1307|fulton|south|valve|44|shipped
1766|dorian|north|gasket|76|pending
1746|harbor|east|frame|98|paid
1557|ember|north|valve|95|pending
1482|juno|east|cable|73|paid
1608|fulton|north|valve|98|pending
1639|ionic|north|rotor|96|paid
1508|ionic|east|valve|87|shipped
1782|harbor|east|rotor|68|shipped
1274|ember|east|gasket|66|shipped
1422|ionic|north|sensor|43|held
1787|harbor|west|gasket|50|paid
1661|ember|west|gasket|33|shipped
1718|gale|north|valve|87|paid
1841|gale|west|rotor|31|paid
1614|fulton|east|sensor|62|shipped
1265|ember|east|sensor|20|pending
1848|cobalt|south|panel|45|paid
1647|harbor|west|sensor|51|paid
1548|ember|north|gasket|35|held
1683|fulton|west|gasket|99|pending
1335|ember|north|panel|54|held
1665|juno|west|sensor|31|held
1212|harbor|north|panel|99|pending
1676|ionic|north|gasket|92|shipped
1691|fulton|east|cable|48|paid
1539|cobalt|south|rotor|63|pending
1280|juno|north|valve|87|shipped
1664|dorian|south|rotor|67|held
1348|fulton|north|sensor|29|held
1806|acme|south|cable|37|paid
1672|juno|east|valve|20|pending
1353|gale|east|panel|46|pending
1789|ionic|west|gasket|86|shipped
1473|juno|east|frame|14|held
1355|acme|south|pump|24|shipped
1586|birch|west|rotor|15|pending
1587|ionic|north|frame|45|held
1631|birch|south|valve|96|paid
1444|juno|south|cable|56|paid
1769|ember|north|rotor|24|shipped
1619|harbor|north|frame|78|pending
1346|acme|west|sensor|75|shipped
1670|dorian|north|panel|32|paid
1819|acme|east|frame|83|pending
1604|ember|west|sensor|85|held
1234|harbor|west|pump|45|held
1438|juno|east|cable|49|shipped
1320|acme|west|cable|44|held
1813|birch|north|sensor|51|held
1541|birch|south|valve|35|paid
1711|ember|east|gasket|51|held
1729|acme|west|panel|62|pending
1201|harbor|south|sensor|35|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, 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":1190}},{"tool":"restock","args":{"item":"cable","qty":66}},{"tool":"restock","args":{"item":"sensor","qty":68}},{"tool":"cancel_order","args":{"order_id":1209}},{"tool":"cancel_order","args":{"order_id":1231}},{"tool":"cancel_order","args":{"order_id":1359}},{"tool":"cancel_order","args":{"order_id":1435}},{"tool":"cancel_order","args":{"order_id":1468}},{"tool":"cancel_order","args":{"order_id":1599}},{"tool":"cancel_order","args":{"order_id":1619}},{"tool":"cancel_order","args":{"order_id":1721}},{"tool":"cancel_order","args":{"order_id":1193}},{"tool":"cancel_order","args":{"order_id":1198}}]correctagentic.tools.ledger-v1conf 99% · 285ms · $0.001 · 147 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: $539
- echo: $268
- lima: $505
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $102 from "echo" to "tango"
2. pay $530 from "echo" to "tango"
3. pay $411 from "echo" to "tango"
4. pay $198 from "lima" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"echo","to":"tango","amount":102}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":364}},
{"tool":"transfer","args":{"from":"echo","to":"tango","amount":530}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":411}},
{"tool":"transfer","args":{"from":"echo","to":"tango","amount":411}},
{"tool":"transfer","args":{"from":"lima","to":"echo","amount":198}}
]correctagentic.tools.triage-v1conf 100% · 293ms · $0.001 · 174 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → okafor
- payments → rivera
- infra → chen
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 6)
2. "refund double-charged" (category: payments, priority 9)
3. "SSO loop on login" (category: auth, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":6}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-2"}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"rivera"}},
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":6}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1conf 100% · 682ms · $0.002 · 131 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 (123 records, format: id|customer|region|item|qty|status):
```
1937|acme|west|frame|95|paid
1760|cobalt|south|rotor|57|paid
1564|cobalt|west|valve|24|pending
1636|fulton|west|valve|79|pending
1595|ember|west|pump|38|held
1664|juno|south|gasket|22|paid
1875|gale|south|frame|44|shipped
1719|ionic|south|valve|76|pending
1519|juno|north|valve|33|held
1779|ember|west|frame|30|paid
1539|ionic|west|pump|90|shipped
1908|dorian|south|sensor|81|held
1761|acme|south|frame|77|shipped
1853|ionic|south|rotor|56|held
1958|fulton|east|frame|34|shipped
1583|ionic|south|pump|45|paid
1588|ember|east|sensor|11|shipped
1926|acme|north|pump|59|held
1524|acme|north|pump|90|shipped
1565|juno|east|frame|49|pending
1657|cobalt|south|valve|63|shipped
1910|birch|north|gasket|55|shipped
1886|cobalt|north|valve|83|pending
1711|acme|south|panel|42|paid
1574|harbor|south|panel|39|shipped
1741|fulton|west|cable|51|shipped
1607|harbor|north|pump|64|paid
1513|dorian|east|valve|62|pending
1923|birch|south|gasket|48|held
1633|birch|west|cable|10|pending
1554|birch|north|sensor|76|held
1698|acme|west|panel|41|paid
1919|ember|west|gasket|49|pending
1643|harbor|north|sensor|40|held
1494|dorian|east|frame|42|pending
1846|ionic|west|gasket|79|pending
1682|dorian|east|gasket|10|held
1864|fulton|north|frame|58|held
1968|harbor|west|gasket|20|paid
1637|fulton|south|gasket|21|pending
1533|gale|north|gasket|69|shipped
1751|fulton|east|panel|76|held
1915|cobalt|east|cable|16|held
1866|birch|west|frame|54|pending
1942|harbor|north|sensor|79|held
1768|gale|east|pump|70|pending
1904|dorian|west|panel|22|pending
1797|birch|west|panel|64|held
1862|fulton|south|frame|93|paid
1680|gale|west|gasket|86|held
1517|dorian|south|rotor|40|paid
1676|juno|south|gasket|57|shipped
1715|birch|west|pump|81|pending
1753|acme|west|rotor|35|paid
1812|harbor|north|pump|54|paid
1621|ionic|north|gasket|53|pending
1596|ionic|west|frame|12|shipped
1497|dorian|south|rotor|92|held
1649|acme|west|gasket|18|pending
1618|cobalt|east|panel|31|pending
1840|harbor|north|frame|49|pending
1963|fulton|west|cable|52|paid
1906|ember|north|valve|90|shipped
1764|gale|west|rotor|56|shipped
1700|gale|east|valve|69|shipped
1777|ember|north|pump|34|held
1599|juno|south|valve|22|paid
1689|fulton|west|panel|79|paid
1734|ionic|west|pump|96|paid
1558|ember|south|sensor|69|paid
1913|cobalt|west|cable|48|held
1782|birch|south|sensor|31|paid
1590|gale|north|gasket|98|pending
1511|dorian|south|frame|52|pending
1935|ember|north|rotor|15|pending
1897|cobalt|west|pump|17|pending
1614|juno|north|panel|70|held
1597|acme|east|sensor|47|paid
1955|juno|east|frame|15|held
1770|gale|east|cable|23|pending
1510|dorian|south|rotor|90|paid
1868|gale|south|gasket|68|held
1732|dorian|north|frame|21|shipped
1948|fulton|east|cable|17|held
1557|juno|north|gasket|93|shipped
1858|fulton|east|panel|90|held
1822|harbor|south|frame|73|pending
1530|harbor|north|cable|13|pending
1538|fulton|south|sensor|67|shipped
1648|acme|south|valve|46|held
1754|birch|west|sensor|18|held
1492|dorian|south|sensor|77|pending
1789|gale|west|valve|95|shipped
1946|birch|south|rotor|46|paid
1892|fulton|south|sensor|75|paid
1829|dorian|north|rotor|75|pending
1586|cobalt|east|frame|35|shipped
1817|ember|west|valve|25|paid
1725|acme|east|frame|95|paid
1508|dorian|east|cable|90|pending
1671|ember|east|frame|31|shipped
1601|harbor|east|valve|75|paid
1666|fulton|north|pump|76|paid
1834|acme|east|rotor|52|shipped
1745|ionic|north|pump|72|paid
1504|dorian|south|valve|65|pending
1704|cobalt|east|sensor|72|held
1546|dorian|west|panel|22|held
1880|dorian|south|valve|17|pending
1929|juno|north|cable|98|shipped
1708|harbor|east|cable|33|shipped
1796|dorian|north|rotor|40|pending
1548|cobalt|south|frame|82|pending
1694|ember|north|sensor|85|held
1802|cobalt|east|rotor|20|held
1523|ember|north|sensor|60|held
1655|gale|west|panel|14|shipped
1580|fulton|south|panel|14|shipped
1568|cobalt|west|gasket|80|held
1720|acme|west|panel|86|paid
1544|fulton|north|pump|24|held
1809|dorian|west|pump|33|held
1628|acme|north|pump|43|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1492}},
{"tool":"cancel_order","args":{"order_id":1504}},
{"tool":"cancel_order","args":{"order_id":1511}},
{"tool":"restock","args":{"item":"rotor","qty":77}},
{"tool":"cancel_order","args":{"order_id":1796}},
{"tool":"cancel_order","args":{"order_id":1829}},
{"tool":"cancel_order","args":{"order_id":1880}}
]correctagentic.tools.deploy-v1conf 99% · 279ms · $0.001 · 81 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: (none)
- gateway: search
- reports: search
- auth-svc: reports, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}}
]correctagentic.tools.ledger-v1conf 99% · 2.4s · $0.001 · 111 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: $699
- oscar: $823
- bravo: $874
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $363 from "lima" to "oscar"
2. pay $214 from "oscar" to "lima"
3. pay $367 from "oscar" to "bravo"
4. pay $493 from "bravo" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"lima","to":"oscar","amount":363}},
{"tool":"transfer","args":{"from":"oscar","to":"lima","amount":214}},
{"tool":"transfer","args":{"from":"oscar","to":"bravo","amount":367}},
{"tool":"transfer","args":{"from":"bravo","to":"lima","amount":493}}
]correctagentic.tools.triage-v1conf 99% · 306ms · $0.001 · 232 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 → rivera
- infra → silva
- data → tanaka
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "API latency spikes" (category: infra, priority 7)
3. "dashboard shows stale numbers" (category: data, priority 8)
4. "dashboard shows stale numbers" (category: data, 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":"SSO loop on login","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"rivera"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":7}},
{"tool":"escalate","args":{"ticket_id":"TCK-2"}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"dashboard shows stale numbers","priority":8}},
{"tool":"escalate","args":{"ticket_id":"TCK-3"}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"tanaka"}},
{"tool":"create_ticket","args":{"title":"dashboard shows stale numbers","priority":8}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-3"}}
]wrongagentic.tools.context-load-v1conf 99% · 398ms · $0.004 · 216 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 (215 records, format: id|customer|region|item|qty|status):
```
1539|ionic|north|frame|65|paid
2331|ionic|south|pump|49|shipped
1534|ionic|west|sensor|53|pending
2124|cobalt|east|pump|48|paid
2099|dorian|south|valve|38|shipped
2062|acme|south|rotor|24|paid
1778|dorian|west|valve|90|shipped
1527|ionic|north|pump|41|held
1785|ember|south|sensor|37|pending
2319|cobalt|south|pump|72|shipped
1748|ember|south|gasket|32|paid
1649|ember|north|sensor|30|shipped
2160|juno|east|pump|26|shipped
2323|dorian|north|pump|53|pending
1854|ionic|south|cable|47|paid
1588|acme|north|sensor|62|paid
2003|birch|south|rotor|85|paid
2136|harbor|north|panel|86|paid
2374|juno|west|valve|89|held
2041|birch|south|cable|87|paid
1827|cobalt|west|gasket|94|held
2171|harbor|north|sensor|85|pending
2082|birch|north|frame|86|held
1699|dorian|east|valve|73|shipped
1735|ionic|east|pump|74|pending
2069|fulton|east|gasket|88|paid
2076|cobalt|south|cable|79|pending
2119|birch|east|gasket|25|pending
2143|dorian|west|panel|97|pending
1742|gale|west|cable|21|pending
1883|ionic|west|panel|84|held
2092|gale|west|panel|26|shipped
2169|cobalt|south|cable|58|pending
1528|ionic|north|gasket|90|pending
1952|ember|west|rotor|49|paid
1666|ember|west|rotor|75|paid
1795|ember|south|gasket|87|pending
1653|gale|west|panel|35|shipped
1781|birch|north|sensor|62|paid
2131|fulton|east|rotor|82|paid
1732|ember|south|valve|68|shipped
2297|harbor|south|frame|40|paid
2049|ember|north|sensor|57|paid
1994|juno|east|frame|29|paid
1563|birch|south|frame|66|pending
2013|birch|north|pump|14|pending
2380|ember|south|valve|17|paid
2303|acme|west|valve|67|paid
2248|harbor|east|pump|13|shipped
1503|ionic|north|sensor|75|paid
2083|acme|west|cable|27|shipped
1998|harbor|north|sensor|69|held
1832|ionic|west|frame|27|paid
1661|gale|east|sensor|83|held
2086|juno|south|frame|74|shipped
1696|ember|north|gasket|98|pending
1509|ionic|west|valve|77|pending
1516|ionic|north|valve|41|pending
2188|gale|west|cable|62|held
1894|fulton|south|pump|50|paid
2291|dorian|south|cable|83|paid
1773|ember|east|gasket|61|pending
2095|fulton|west|gasket|24|paid
2242|acme|east|gasket|41|pending
1857|harbor|south|rotor|33|shipped
1937|acme|west|rotor|87|held
1783|cobalt|west|pump|22|held
2308|birch|west|cable|54|pending
2212|ionic|west|frame|89|pending
1600|dorian|west|rotor|43|paid
1834|birch|north|gasket|45|held
1981|cobalt|south|cable|49|paid
2205|dorian|south|rotor|34|shipped
1629|harbor|north|panel|99|paid
2036|cobalt|west|sensor|15|paid
2079|gale|south|gasket|17|pending
1815|acme|north|panel|77|paid
1556|birch|east|sensor|77|shipped
1820|ionic|north|pump|70|held
2000|dorian|north|pump|66|shipped
1672|gale|east|valve|92|paid
1916|juno|south|sensor|70|pending
1900|dorian|south|frame|17|pending
1667|ember|south|rotor|56|held
2144|harbor|south|panel|31|held
2236|acme|west|panel|71|held
2033|birch|north|panel|10|paid
2238|acme|west|panel|95|paid
1983|ember|north|cable|34|pending
1923|ember|west|frame|55|pending
2020|ionic|east|cable|34|shipped
1728|juno|east|cable|58|paid
1944|ember|east|frame|19|held
1803|juno|east|rotor|11|shipped
1963|fulton|east|frame|71|paid
2146|ionic|west|rotor|24|held
2387|fulton|south|gasket|12|held
2261|dorian|east|pump|97|paid
2199|gale|north|valve|14|shipped
1846|birch|east|pump|28|held
2314|ionic|south|valve|26|paid
2110|ionic|north|panel|96|paid
2342|harbor|west|gasket|61|shipped
1996|harbor|north|rotor|93|shipped
2337|acme|west|sensor|52|pending
1678|fulton|east|pump|66|shipped
1912|ember|west|rotor|39|pending
2125|birch|south|panel|75|shipped
2267|fulton|north|valve|71|shipped
2368|gale|west|sensor|84|shipped
2257|ember|west|pump|53|paid
1762|dorian|east|gasket|85|held
1784|fulton|east|frame|99|held
2215|cobalt|east|sensor|62|held
1731|juno|west|frame|46|pending
2354|gale|west|panel|48|shipped
2178|juno|east|pump|49|held
2347|harbor|east|cable|99|held
2045|ember|north|sensor|82|held
2370|juno|north|valve|41|held
2010|ionic|south|frame|66|pending
2167|dorian|west|panel|57|paid
2183|harbor|north|pump|85|paid
2027|juno|west|panel|69|pending
1627|acme|east|rotor|39|shipped
2147|harbor|west|gasket|68|held
1755|cobalt|west|panel|95|shipped
1993|dorian|north|gasket|75|held
1705|birch|north|frame|43|shipped
1498|ionic|north|valve|93|pending
2363|juno|south|cable|98|held
2057|acme|south|frame|67|shipped
1689|ember|south|gasket|84|pending
1681|dorian|north|panel|27|paid
2193|juno|west|rotor|54|shipped
2241|cobalt|south|gasket|98|held
1614|birch|west|rotor|18|shipped
2117|fulton|north|cable|95|paid
1544|ionic|south|frame|65|pending
1579|birch|south|sensor|48|paid
2286|cobalt|south|rotor|21|pending
1569|acme|west|valve|95|pending
2222|acme|north|frame|16|shipped
1759|ember|east|valve|67|paid
2339|harbor|south|frame|99|held
2226|acme|west|sensor|66|shipped
1794|juno|north|cable|50|shipped
1725|juno|south|gasket|18|shipped
2141|acme|east|panel|82|shipped
1985|acme|east|pump|99|paid
1651|acme|south|sensor|41|pending
2360|dorian|north|valve|53|pending
1890|birch|north|panel|23|shipped
1514|ionic|north|panel|90|shipped
2120|ember|north|panel|58|held
1683|harbor|north|gasket|96|paid
1840|birch|south|valve|38|held
1659|fulton|west|cable|26|held
1541|ionic|north|panel|15|pending
1959|harbor|east|valve|55|paid
2048|ember|east|frame|94|shipped
1607|acme|east|valve|42|held
1500|ionic|south|panel|85|pending
1585|gale|south|rotor|43|paid
2103|harbor|south|sensor|12|shipped
1523|ionic|south|gasket|57|pending
1802|harbor|east|sensor|51|held
2009|cobalt|north|gasket|48|paid
1711|harbor|west|pump|24|paid
2292|dorian|north|sensor|92|pending
2335|birch|east|cable|26|paid
1789|harbor|west|rotor|25|paid
1987|cobalt|north|panel|18|shipped
2051|birch|west|gasket|91|held
1561|harbor|east|pump|97|paid
2275|acme|south|rotor|25|held
2281|juno|west|valve|93|pending
1928|ember|east|frame|32|pending
2232|juno|south|cable|41|held
1549|ionic|north|panel|99|shipped
2038|fulton|west|rotor|48|shipped
1576|gale|east|gasket|96|shipped
1662|cobalt|east|cable|91|held
2328|cobalt|west|frame|11|pending
1964|cobalt|east|sensor|60|held
1596|harbor|north|pump|99|held
1864|ember|west|sensor|87|shipped
1906|ember|south|cable|48|held
1623|acme|north|rotor|40|shipped
2073|dorian|west|sensor|70|paid
2053|juno|north|pump|58|paid
1871|cobalt|south|rotor|63|held
1718|juno|east|sensor|49|shipped
1932|ionic|south|valve|88|pending
1970|juno|north|gasket|33|held
1876|cobalt|north|rotor|75|pending
1976|ionic|west|sensor|45|pending
2093|birch|west|gasket|99|shipped
1589|fulton|south|pump|34|shipped
1507|ionic|north|panel|45|pending
1809|cobalt|south|pump|45|pending
1635|juno|south|frame|46|paid
1885|ionic|north|rotor|78|shipped
1948|acme|west|sensor|48|held
1642|acme|east|sensor|17|paid
1931|juno|east|panel|67|shipped
2251|birch|east|rotor|93|paid
2153|cobalt|west|frame|19|held
2268|birch|south|rotor|74|pending
1767|acme|north|panel|28|pending
1644|juno|west|valve|36|shipped
1852|harbor|east|rotor|29|held
2294|gale|north|panel|88|pending
1949|dorian|north|rotor|22|shipped
1616|birch|east|pump|94|shipped
```
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 > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[{"tool":"cancel_order","args":{"order_id":1507}},{"tool":"cancel_order","args":{"order_id":1528}},{"tool":"cancel_order","args":{"order_id":1534}},{"tool":"cancel_order","args":{"order_id":1541}},{"tool":"cancel_order","args":{"order_id":1509}},{"tool":"cancel_order","args":{"order_id":1516}},{"tool":"cancel_order","args":{"order_id":1539}},{"tool":"restock","args":{"item":"panel","qty":96}},{"tool":"cancel_order","args":{"order_id":1820}},{"tool":"restock","args":{"item":"pump","qty":70}},{"tool":"restock","args":{"item":"frame","qty":89}},{"tool":"restock","args":{"item":"panel","qty":99}},{"tool":"restock","args":{"item":"valve","qty":93}}]correctagentic.tools.deploy-v1conf 100% · 364ms · $0.001 · 83 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: (none)
- auth-svc: reports, search
- reports: search
- notifier: auth-svc, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"health_check","args":{"service":"notifier"}}
]correctagentic.tools.ledger-v1conf 99% · 496ms · $0.001 · 191 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $654
- bravo: $217
- alpha: $461
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $485 from "oscar" to "alpha"
2. pay $485 from "oscar" to "alpha"
3. pay $200 from "oscar" to "alpha"
4. pay $130 from "bravo" to "alpha"
5. pay $225 from "bravo" 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":"oscar","to":"alpha","amount":485}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":316}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":485}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":200}},
{"tool":"transfer","args":{"from":"oscar","to":"alpha","amount":200}},
{"tool":"transfer","args":{"from":"bravo","to":"alpha","amount":130}},
{"tool":"top_up_from_reserve","args":{"account":"bravo","amount":138}},
{"tool":"transfer","args":{"from":"bravo","to":"alpha","amount":225}}
]correctagentic.tools.triage-v1conf 98% · 397ms · $0.001 · 163 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → okafor
- payments → haddad
- infra → novak
INCIDENTS:
1. "export file corrupted" (category: data, priority 6)
2. "export file corrupted" (category: data, priority 6)
3. "uploads failing intermittently" (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":"export file corrupted","priority":6}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"export file corrupted","priority":6}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"uploads failing intermittently","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-3"}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"novak"}}
]wrongagentic.tools.context-load-v1conf 100% · 418ms · $0.003 · 61 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 (195 records, format: id|customer|region|item|qty|status):
```
1393|birch|west|frame|81|paid
1687|cobalt|south|gasket|67|shipped
1200|fulton|south|sensor|80|paid
1322|harbor|south|cable|60|held
1711|harbor|north|valve|76|pending
1077|gale|north|rotor|98|pending
1120|dorian|east|valve|40|paid
1488|cobalt|west|frame|53|paid
1779|ember|north|frame|23|paid
1252|harbor|south|panel|77|shipped
1355|cobalt|west|panel|64|pending
1605|acme|south|cable|20|held
1221|fulton|south|valve|43|held
1442|harbor|east|frame|75|paid
1397|juno|west|cable|12|paid
1230|cobalt|east|panel|58|held
1423|acme|east|sensor|90|shipped
1301|harbor|west|rotor|80|paid
1360|gale|east|frame|94|paid
1658|gale|west|pump|40|pending
1254|birch|north|valve|16|pending
1523|dorian|east|cable|69|held
1167|acme|east|cable|30|paid
1674|juno|south|rotor|19|pending
1556|ionic|south|valve|52|pending
1128|dorian|east|frame|46|shipped
1640|acme|north|gasket|14|held
1428|dorian|west|rotor|21|pending
1600|dorian|west|panel|92|pending
1348|acme|west|cable|53|pending
1478|cobalt|north|gasket|40|pending
1633|birch|west|pump|11|held
1242|birch|east|rotor|36|held
1572|birch|east|gasket|49|pending
1115|ember|east|sensor|25|shipped
1539|fulton|south|rotor|22|pending
1784|dorian|south|gasket|50|held
1840|fulton|east|frame|85|paid
1095|gale|west|rotor|91|pending
1545|juno|east|frame|73|held
1546|gale|south|frame|57|paid
1238|cobalt|north|rotor|76|shipped
1772|dorian|north|pump|85|held
1464|fulton|east|gasket|99|pending
1729|harbor|east|rotor|96|shipped
1304|gale|north|frame|14|held
1521|cobalt|west|rotor|72|paid
1647|cobalt|south|pump|26|paid
1807|dorian|north|rotor|62|pending
1105|gale|east|pump|10|shipped
1098|gale|east|valve|50|shipped
1743|ember|west|rotor|18|pending
1337|juno|north|rotor|74|pending
1365|ember|east|valve|98|paid
1808|cobalt|north|gasket|41|shipped
1101|gale|east|panel|55|pending
1566|ember|north|panel|78|paid
1597|ionic|north|sensor|71|paid
1821|harbor|east|rotor|30|paid
1582|dorian|west|gasket|47|pending
1329|ionic|west|cable|70|pending
1263|harbor|north|sensor|28|shipped
1680|dorian|east|rotor|55|held
1409|birch|south|valve|69|pending
1733|birch|west|valve|49|held
1406|ionic|south|frame|67|pending
1848|birch|east|valve|80|shipped
1627|dorian|west|panel|21|held
1796|cobalt|east|sensor|52|paid
1789|ionic|east|pump|30|held
1088|gale|east|panel|47|pending
1164|dorian|west|frame|36|shipped
1214|birch|south|panel|62|shipped
1261|ember|south|frame|19|paid
1157|harbor|south|panel|49|paid
1665|birch|west|rotor|30|paid
1706|juno|east|sensor|80|pending
1550|ember|south|gasket|28|pending
1295|fulton|south|rotor|81|shipped
1282|harbor|west|panel|70|paid
1699|gale|south|pump|77|pending
1594|dorian|north|sensor|34|shipped
1534|cobalt|north|pump|99|pending
1396|ionic|west|gasket|35|pending
1343|juno|west|panel|29|held
1412|harbor|north|frame|56|held
1407|ember|south|panel|23|held
1508|cobalt|south|sensor|40|pending
1312|harbor|north|sensor|63|paid
1452|gale|west|panel|29|shipped
1834|cobalt|south|frame|94|pending
1606|acme|south|frame|76|paid
1434|ember|east|panel|27|shipped
1174|acme|south|gasket|56|held
1279|harbor|south|frame|91|shipped
1130|juno|north|frame|80|held
1390|harbor|west|frame|87|paid
1587|birch|south|panel|20|pending
1372|ember|east|rotor|89|shipped
1813|ember|south|frame|68|pending
1766|cobalt|east|cable|83|paid
1156|harbor|north|rotor|34|pending
1826|juno|south|pump|84|shipped
1792|juno|west|pump|77|pending
1426|fulton|west|panel|37|shipped
1619|ember|west|panel|28|shipped
1103|gale|south|frame|69|pending
1266|ionic|east|frame|86|pending
1590|birch|west|frame|84|paid
1150|dorian|west|cable|56|pending
1527|juno|west|pump|48|paid
1311|fulton|north|valve|75|pending
1216|ember|south|valve|49|paid
1564|gale|west|valve|74|paid
1541|acme|south|pump|55|pending
1609|gale|north|pump|48|held
1284|gale|south|valve|62|held
1717|dorian|south|pump|30|pending
1458|fulton|north|valve|32|paid
1577|juno|west|pump|68|paid
1143|harbor|north|frame|84|pending
1814|birch|east|valve|42|held
1228|birch|east|gasket|91|paid
1414|juno|west|sensor|76|held
1072|gale|east|pump|24|pending
1445|ember|east|sensor|84|shipped
1764|juno|south|gasket|40|pending
1514|gale|west|cable|80|held
1191|fulton|east|sensor|98|held
1205|birch|west|sensor|94|pending
1503|acme|north|gasket|62|paid
1199|dorian|north|pump|72|paid
1843|dorian|south|panel|19|paid
1220|acme|east|frame|18|paid
1430|ionic|north|cable|13|shipped
1139|cobalt|west|cable|81|paid
1300|ionic|north|valve|34|held
1318|cobalt|west|rotor|96|held
1196|cobalt|north|pump|80|paid
1621|ember|south|sensor|86|shipped
1465|gale|south|rotor|14|shipped
1273|ionic|west|sensor|42|paid
1387|ionic|south|rotor|14|pending
1681|acme|north|pump|53|pending
1402|gale|south|panel|88|shipped
1354|ionic|east|valve|72|paid
1083|gale|east|cable|67|held
1494|fulton|west|gasket|30|pending
1118|cobalt|south|valve|10|held
1757|harbor|west|sensor|93|paid
1688|birch|south|valve|71|paid
1475|fulton|south|gasket|93|pending
1725|fulton|west|valve|17|pending
1179|fulton|west|panel|77|held
1551|acme|north|panel|40|held
1693|juno|north|cable|29|pending
1801|dorian|west|panel|67|held
1737|cobalt|west|sensor|62|paid
1844|ember|north|cable|74|pending
1124|harbor|south|panel|12|shipped
1207|birch|north|sensor|91|held
1528|fulton|east|cable|39|paid
1112|juno|west|panel|24|held
1236|harbor|east|rotor|66|held
1833|ionic|north|rotor|69|held
1381|harbor|north|gasket|70|shipped
1522|harbor|west|rotor|35|shipped
1286|harbor|west|gasket|89|held
1185|acme|west|sensor|33|paid
1333|birch|west|panel|49|held
1750|ionic|west|pump|58|pending
1435|harbor|east|cable|80|pending
1226|gale|north|gasket|93|held
1309|harbor|north|valve|90|pending
1133|dorian|east|panel|52|shipped
1246|acme|north|valve|67|shipped
1774|ionic|east|sensor|64|shipped
1294|acme|north|pump|27|pending
1497|birch|south|rotor|54|paid
1290|harbor|south|rotor|37|held
1697|harbor|south|cable|75|paid
1483|cobalt|west|rotor|94|paid
1557|ionic|west|cable|65|paid
1108|gale|east|frame|37|held
1628|cobalt|east|frame|70|pending
1613|dorian|east|cable|42|paid
1653|ionic|north|panel|25|held
1109|ember|south|panel|69|paid
1125|acme|west|cable|22|held
1135|harbor|south|cable|32|pending
1724|birch|west|valve|89|paid
1470|birch|east|gasket|61|pending
1671|fulton|south|rotor|76|shipped
1374|birch|west|frame|86|held
1420|dorian|east|valve|78|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 40, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[{"tool":"restock","args":{"item":"panel","qty":55}},{"tool":"cancel_order","args":{"order_id":1088}},{"tool":"cancel_order","args":{"order_id":1072}}]correctagentic.tools.deploy-v1conf 100% · 441ms · $0.001 · 86 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: reports
- gateway: billing
- reports: (none)
- notifier: 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 "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":"reports"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"health_check","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"notifier"}}
]wrongagentic.tools.ledger-v1conf 98% · 375ms · $0.001 · 154 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $813
- oscar: $633
- tango: $480
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $149 from "tango" to "oscar"
2. pay $431 from "tango" to "bravo"
3. pay $288 from "oscar" to "tango"
4. pay $216 from "oscar" to "tango"
5. pay $431 from "bravo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"tango","to":"oscar","amount":149}},
{"tool":"transfer","args":{"from":"tango","to":"bravo","amount":431}},
{"tool":"top_up_from_reserve","args":{"account":"oscar","amount":65}},
{"tool":"transfer","args":{"from":"oscar","to":"tango","amount":288}},
{"tool":"transfer","args":{"from":"oscar","to":"tango","amount":216}},
{"tool":"transfer","args":{"from":"bravo","to":"tango","amount":431}}
]wrongagentic.tools.triage-v1conf 98% · 325ms · $0.001 · 194 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- auth → dubois
- data → novak
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 5)
2. "cannot reset password" (category: auth, priority 6)
3. "card declined at checkout" (category: payments, priority 5)
4. "card declined at checkout" (category: payments, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":5}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"rivera"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":6}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"dubois"}},
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":5}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"card declined at checkout","priority":9}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]wrongagentic.tools.context-load-v1anchorconf 100% · 267ms · $0.003 · 166 tok
model answer:
[
{"tool":"restock","args":{"item":"frame","qty":58}},
{"tool":"cancel_order","args":{"order_id":1578}},
{"tool":"cancel_order","args":{"order_id":1682}},
{"tool":"restock","args":{"item":"gasket","qty":60}},
{"tool":"cancel_order","args":{"order_id":1737}},
{"tool":"cancel_order","args":{"order_id":1849}},
{"tool":"cancel_order","args":{"order_id":1878}},
{"tool":"restock","args":{"item":"rotor","qty":97}},
{"tool":"cancel_order","args":{"order_id":1923}}
]correctagentic.tools.deploy-v1anchorconf 100% · 585ms · $0.001 · 88 tok
model answer:
[
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"health_check","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"reports"}}
]wrongagentic.tools.ledger-v1anchorconf 99% · 717ms · $0.001 · 169 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":353}},
{"tool":"transfer","args":{"from":"delta","to":"bravo","amount":540}},
{"tool":"transfer","args":{"from":"tango","to":"bravo","amount":125}}
]correctagentic.tools.triage-v1anchorconf 98% · 981ms · $0.001 · 208 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 17/30 correct
correctcode.trace.js-v1conf 100% · 272ms · $0.001 · 92 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 * 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:
150wrongcode.trace.nested-v1conf 100% · 277ms · $0.000 · 21 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 * 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:
240correctcode.trace.js-v1conf 100% · 2.4s · $0.000 · 41 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8]; 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:
132wrongcode.trace.python-v1conf 100% · 2.1s · $0.000 · 23 tok
question
What does this Python program print?
```python
total = 0
v = 12
while total + v <= 65:
if v % 6 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
52wrongcode.trace.nested-v1conf 100% · 318ms · $0.002 · 389 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 * 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:
92wrongcode.trace.python-v1conf 100% · 1.3s · $0.001 · 180 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 3
while total + v <= 33:
if v % 6 != 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:
288correctcode.trace.js-v1conf 100% · 472ms · $0.001 · 118 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 7) .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:
420wrongcode.trace.nested-v1conf 100% · 371ms · $0.000 · 21 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
134wrongcode.trace.python-v1conf 100% · 583ms · $0.000 · 23 tok
question
What does this Python program print?
```python
total = 0
v = 4
while total + v <= 59:
if v % 7 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
184correctcode.trace.js-v1conf 100% · 409ms · $0.000 · 68 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 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:
140correctcode.trace.nested-v1conf 100% · 629ms · $0.002 · 480 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
135wrongcode.trace.nested-v1conf 100% · 600ms · $0.000 · 23 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 8):
if j == 6 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
76correctcode.trace.python-v1conf 100% · 413ms · $0.001 · 138 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 14
while total + v <= 43:
if v % 3 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
30correctcode.trace.js-v1conf 100% · 394ms · $0.001 · 99 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 7) .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:
252correctcode.trace.python-v1conf 99% · 301ms · $0.001 · 203 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 12
while total + v <= 73:
if v % 5 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
52wrongcode.trace.nested-v1conf 100% · 869ms · $0.000 · 23 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 == 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:
97correctcode.trace.js-v1conf 100% · 381ms · $0.000 · 68 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]; const out = arr .map(n => n * 2) .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:
252correctcode.trace.js-v1conf 100% · 1.4s · $0.001 · 88 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 6) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90correctcode.trace.python-v1conf 100% · 520ms · $0.001 · 131 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 5
while total + v <= 56:
if v % 7 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
41correctcode.trace.js-v1conf 100% · 2.8s · $0.001 · 103 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; 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:
300wrongcode.trace.python-v1conf 100% · 342ms · $0.001 · 132 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 11
while total + v <= 114:
if v % 5 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
193wrongcode.trace.nested-v1conf 100% · 331ms · $0.000 · 23 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
341correctcode.trace.python-v1conf 100% · 538ms · $0.001 · 178 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 8
while total + v <= 61:
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:
45wrongcode.trace.nested-v1conf 100% · 279ms · $0.000 · 17 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
116correctcode.trace.js-v1conf 100% · 477ms · $0.000 · 76 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 2) .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:
144wrongcode.trace.nested-v1conf 100% · 558ms · $0.000 · 17 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
115correctcode.trace.python-v1anchorconf 100% · 256ms · $0.000 · 23 tok
model answer:
0correctcode.trace.js-v1anchorconf 100% · 419ms · $0.000 · 54 tok
model answer:
63correctcode.trace.python-v1anchorconf 98% · 576ms · $0.001 · 108 tok
model answer:
40wrongcode.trace.nested-v1anchorconf 100% · 343ms · $0.000 · 23 tok
model answer:
203instruction following 15/30 correct
wrongif.constraints.stack-v1conf 99% · 1.4s · $0.000 · 69 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "comet" and the last word must be "prism". 3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet old machine hums, ember turns, ember fades, gears sing, ember, iron breath, time sleeps, prismcorrectif.constraints.stack-v1conf 6% · 237ms · $0.000 · 55 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 "lumen" and the last word must be "ember". 3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lumen quartz wandered miles through dust, crossing rivers, mountains, and quartz valleys toward emberwrongif.format.acronym-v1conf 100% · 346ms · $0.000 · 16 tok
question
Take the second letter of each of these words, in order: ember, drift, cedar, comet, 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:
MDFOUEcorrectif.format.repeat-v1conf 100% · 372ms · $0.000 · 33 tok
question
Write the word "prism" in lowercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism/prism/prism/prism/prismwrongif.format.acronym-v1conf 100% · 316ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: flint, basalt, nova, 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:
LIBUwrongif.constraints.stack-v1conf 93% · 451ms · $0.000 · 41 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 "prism" and the last word must be "nova". 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:
prism lights drift over silent towers, drift along rainlit streets, where bells drift beneath moonlit avenues, novacorrectif.format.repeat-v1conf 100% · 328ms · $0.000 · 33 tok
question
Write the word "falcon" in capitalized form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Falcon_Falcon_Falcon_Falcon_Falconcorrectif.format.acronym-v1conf 100% · 632ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: tundra, zephyr, 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:
TZDLcorrectif.format.repeat-v1conf 100% · 433ms · $0.000 · 56 tok
question
Write the word "falcon" in uppercase 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:
FALCON_FALCON_FALCON_FALCON_FALCON_FALCON_FALCONwrongif.constraints.stack-v1conf 73% · 560ms · $0.000 · 29 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "drift" and the last word must be "comet". 3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift sea prism blue waves prism silent tides prism cometwrongif.format.acronym-v1conf 100% · 385ms · $0.000 · 16 tok
question
Take the first letter of each of these words, in order: nova, prism, drift, tundra, flint, 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:
NPDTOFwrongif.constraints.stack-v1conf 96% · 392ms · $0.000 · 65 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "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:
tundra streets shimmer while neon windows breathe; buses orbit silent towers, then orbit distant bridges under moonlit lumencorrectif.format.repeat-v1conf 100% · 380ms · $0.000 · 59 tok
question
Write the word "drift" in capitalized form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Drift/Drift/Drift/Drift/Drift/Drift/Drift/Driftcorrectif.format.repeat-v1conf 100% · 2.1s · $0.000 · 36 tok
question
Write the word "nova" in lowercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova/nova/nova/nova/nova/novawrongif.format.acronym-v1conf 100% · 282ms · $0.000 · 16 tok
question
Take the third letter of each of these words, in order: prism, orbit, comet, 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:
RMRMwrongif.constraints.stack-v1conf 96% · 1.5s · $0.000 · 70 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "orbit" and the last word must be "echo". 3. Use the word "delta" 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:
orbit city glows; delta lights shimmer, delta streets hum, delta dreams drift under moonlit towers, silent avenues breathe echowrongif.constraints.stack-v1conf 92% · 284ms · $0.000 · 47 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "falcon" and the last word must be "basalt". 3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon city glows under moonlight; comet trails drift above silent streets, lamps shimmer, windows breathe, and comet shadows rest on basaltwrongif.format.acronym-v1conf 100% · 440ms · $0.000 · 22 tok
question
Take the second letter of each of these words, in order: falcon, prism, tundra, lumen, orbit, 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:
ARNDABcorrectif.format.repeat-v1conf 100% · 450ms · $0.000 · 44 tok
question
Write the word "ember" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember-ember-ember-ember-ember-ember-ember-emberwrongif.format.acronym-v1conf 100% · 297ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: prism, falcon, tundra, 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:
RLNUcorrectif.format.repeat-v1conf 100% · 527ms · $0.000 · 26 tok
question
Write the word "comet" in capitalized 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:
Comet-Comet-Cometcorrectif.constraints.stack-v1conf 97% · 279ms · $0.000 · 65 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 "quartz". 3. Use the word "tundra" 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:
basalt across tundra, through snow, beyond tundra, under stars, toward tundra, over miles quartzwrongif.format.acronym-v1conf 100% · 711ms · $0.000 · 17 tok
question
Take the second letter of each of these words, in order: flint, nova, comet, echo, zephyr, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LOMHUAcorrectif.format.repeat-v1conf 100% · 395ms · $0.000 · 59 tok
question
Write the word "flint" in capitalized form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Flint/Flint/Flint/Flint/Flint/Flint/Flint/Flintwrongif.constraints.stack-v1conf 98% · 460ms · $0.000 · 68 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "falcon" and the last word must be "prism". 3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon old machine hums softly, metal gears turn, echo lost dreams; echo fades while dust settles around silent prismcorrectif.format.acronym-v1conf 100% · 268ms · $0.000 · 24 tok
question
Take the first letter of each of these words, in order: orbit, prism, ember, tundra, quartz, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
OPETQZcorrectif.format.repeat-v1anchorconf 100% · 278ms · $0.000 · 46 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOwrongif.constraints.stack-v1anchorconf 96% · 831ms · $0.000 · 71 tok
model answer:
drift through midnight streets; lumen pools on wet stone, lumen trembles in windows, and silent towers glow while riverlights orbitcorrectif.format.repeat-v1anchorconf 100% · 349ms · $0.000 · 62 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 277ms · $0.000 · 20 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 4.0s · $0.000 · 18 tok
question
What is the element whose symbol is K? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 505ms · $0.000 · 23 tok
question
What is the capital of Myanmar? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 525ms · $0.000 · 18 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 99% · 597ms · $0.000 · 23 tok
question
What is the author of "Things Fall Apart"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 597ms · $0.000 · 18 tok
question
What is 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% · 290ms · $0.000 · 16 tok
question
What is 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% · 606ms · $0.000 · 23 tok
question
Name the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 382ms · $0.000 · 23 tok
question
Identify the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 471ms · $0.000 · 17 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 461ms · $0.000 · 15 tok
question
Name 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% · 1.1s · $0.000 · 16 tok
question
Name 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% · 407ms · $0.000 · 18 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-v2conf 100% · 626ms · $0.000 · 17 tok
question
Identify the capital of Australia. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 364ms · $0.000 · 22 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 413ms · $0.000 · 19 tok
question
Name 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% · 533ms · $0.000 · 17 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 99% · 298ms · $0.000 · 22 tok
question
What is the author of "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 1.8s · $0.000 · 18 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 99% · 1.2s · $0.000 · 18 tok
question
Name the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 336ms · $0.000 · 17 tok
question
What is the Turkish capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 318ms · $0.000 · 17 tok
question
What is the element whose symbol is Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 292ms · $0.000 · 18 tok
question
What is 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% · 252ms · $0.000 · 17 tok
question
Identify 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% · 486ms · $0.000 · 16 tok
question
Identify 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-v2anchorconf 100% · 2.4s · $0.000 · 19 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 399ms · $0.000 · 23 tok
question
What is the author of "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 320ms · $0.000 · 23 tok
question
Identify the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2anchorconf 100% · 584ms · $0.000 · 17 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 302ms · $0.000 · 16 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 301ms · $0.000 · 18 tok
model answer:
Antimonymath 17/30 correct
correctmath.percent.chain-v2conf 99% · 665ms · $0.001 · 109 tok
question
An inventory starts at 20000 units. The delivery van has a 34-liter fuel tank. In the first month the inventory grows by 25%. A rival firm shipped 172 unrelated parcels the same week. The next month it shrinks by 38%, and the month after it grows by 26%. 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:
19530wrongmath.chained.pipeline-v1conf 100% · 334ms · $0.000 · 21 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 12 × 46. Step 2: Q = P × 4 − 792. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
132wrongmath.counterfactual.base-v1conf 99% · 322ms · $0.000 · 39 tok
question
Work strictly in base 9. Multiply the base-9 numbers 53 and 27. 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:
1530correctmath.algebra.system-v2conf 100% · 323ms · $0.001 · 128 tok
question
Solve the system, then answer the derived question. 3x + 3y = 12 5x − 3y = -36 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:
-23correctmath.arith.chain-v2conf 100% · 500ms · $0.001 · 136 tok
question
Compute the value of the following expression. (((88 × 38 − 215) × 5 + 7952) − 46 × 17) × 4 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
91260correctmath.chained.pipeline-v1conf 100% · 352ms · $0.000 · 74 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 81 × 56. Step 2: Q = P × 7 − 988. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
10256wrongmath.counterfactual.base-v1conf 100% · 1.8s · $0.000 · 35 tok
question
Work strictly in base 8. Multiply the base-8 numbers 76 and 63. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
6074wrongmath.percent.chain-v2conf 99% · 382ms · $0.000 · 48 tok
question
An inventory starts at 93000 units. Each pallet weighs about 148 grams more when wet. In the first month the inventory grows by 42%. The warehouse was painted 127 years ago. The next month it shrinks by 16%, and the month after it grows by 37%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
151977.74correctmath.algebra.system-v2conf 100% · 666ms · $0.001 · 134 tok
question
Solve the system, then answer the derived question. 2x + 8y = -44 2x − 2y = -24 What is the value of 5x − 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:
-66wrongmath.arith.chain-v2conf 100% · 2.4s · $0.000 · 25 tok
question
Compute the value of the following expression. (((97 × 75 − 333) × 7 + 7725) − 51 × 87) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
527145correctmath.percent.chain-v2conf 100% · 363ms · $0.001 · 114 tok
question
An inventory starts at 91000 units. The delivery van has a 39-liter fuel tank. In the first month the inventory grows by 32%. The company was founded 116 kilometers from the port. The next month it shrinks by 29%, and the month after it grows by 10%. 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:
93813.72correctmath.chained.pipeline-v1conf 100% · 477ms · $0.000 · 65 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 55 × 26. Step 2: Q = P × 3 − 143. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1383correctmath.counterfactual.base-v1conf 98% · 326ms · $0.000 · 50 tok
question
Work strictly in base 9. Add the base-9 numbers 3587 and 1543. 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:
5241correctmath.algebra.system-v2conf 100% · 693ms · $0.001 · 133 tok
question
Solve the system, then answer the derived question. 7x + 8y = 543 8x − 7y = -9 What is the value of 6x − 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:
120correctmath.arith.chain-v2conf 100% · 415ms · $0.001 · 133 tok
question
Work out the exact value of this expression. (((73 × 89 − 602) × 9 + 5913) − 41 × 93) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
275775correctmath.chained.pipeline-v1conf 100% · 417ms · $0.001 · 101 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 15 × 26. Step 2: Q = P × 6 − 263. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
237correctmath.algebra.system-v2conf 100% · 383ms · $0.001 · 200 tok
question
Solve the system, then answer the derived question. 4x + 3y = 8 6x − 7y = 288 What is the value of 4x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
152wrongmath.counterfactual.base-v1conf 100% · 414ms · $0.000 · 97 tok
question
Work strictly in base 9. Multiply the base-9 numbers 23 and 34. 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:
833correctmath.percent.chain-v2conf 100% · 692ms · $0.001 · 103 tok
question
An inventory starts at 80000 units. The company was founded 34 kilometers from the port. In the first month the inventory grows by 22%. A rival firm shipped 75 unrelated parcels the same week. The next month it shrinks by 10%, and the month after it grows by 11%. 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:
97502.4wrongmath.arith.chain-v2conf 100% · 1.5s · $0.000 · 27 tok
question
Evaluate the expression below and give the result. (((80 × 84 − 105) × 5 + 9980) − 91 × 15) × 6 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2262390wrongmath.chained.pipeline-v1conf 100% · 400ms · $0.000 · 74 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 58 × 49. Step 2: Q = P × 3 − 688. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1572wrongmath.counterfactual.base-v1conf 98% · 969ms · $0.000 · 24 tok
question
Work strictly in base 11. Add the base-11 numbers 1482 and 711. 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:
1A1Awrongmath.percent.chain-v2conf 99% · 464ms · $0.000 · 58 tok
question
An inventory starts at 64000 units. The company was founded 45 kilometers from the port. In the first month the inventory grows by 18%. Each pallet weighs about 51 grams more when wet. The next month it shrinks by 19%, and the month after it grows by 26%. 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:
77291.712correctmath.algebra.system-v2conf 100% · 363ms · $0.001 · 102 tok
question
Solve the system, then answer the derived question. 2x + 8y = -228 8x − 8y = 288 What is the value of 2x − 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:
72correctmath.arith.chain-v2conf 100% · 381ms · $0.001 · 125 tok
question
Work out the exact value of this expression. (((26 × 51 − 689) × 3 + 7292) − 91 × 43) × 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:
37030correctmath.chained.pipeline-v1conf 100% · 503ms · $0.000 · 85 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 65 × 71. Step 2: Q = P × 3 − 313. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2257wrongmath.percent.chain-v2anchorconf 99% · 424ms · $0.001 · 103 tok
model answer:
61738.662wrongmath.counterfactual.base-v1anchorconf 100% · 274ms · $0.000 · 22 tok
model answer:
13536correctmath.algebra.system-v2anchorconf 100% · 641ms · $0.001 · 128 tok
model answer:
87wrongmath.arith.chain-v2anchorconf 100% · 388ms · $0.000 · 25 tok
model answer:
105576multilingual 28/30 correct
correctmultilingual.wordnum-v1conf 100% · 290ms · $0.000 · 24 tok
question
A number is written in French: « cent soixante et onze ». Another is written in Spanish: « novecientos ochenta ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-809correctmultilingual.wordnum-v1conf 100% · 807ms · $0.000 · 15 tok
question
A number is written in French: « cinq cent dix-sept ». Another is written in Spanish: « ciento setenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
345correctmultilingual.numword-v2conf 100% · 715ms · $0.000 · 31 tok
question
Compute 428 + 146, 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 soixante-quatorzecorrectmultilingual.numword-v2conf 100% · 512ms · $0.000 · 26 tok
question
Compute 419 + 284, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
sept cent troiscorrectmultilingual.wordnum-v1conf 100% · 309ms · $0.000 · 15 tok
question
A number is written in French: « trois cent quatre-vingt-quatorze ». Another is written in Spanish: « setecientos noventa 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:
-397correctmultilingual.numword-v2conf 100% · 475ms · $0.000 · 33 tok
question
Compute 258 + 184, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quarante-deuxcorrectmultilingual.wordnum-v1conf 100% · 551ms · $0.000 · 22 tok
question
A number is written in French: « huit cent cinquante-sept ». Another is written in Spanish: « cuatrocientos cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1261correctmultilingual.numword-v2conf 100% · 333ms · $0.000 · 32 tok
question
Compute 496 + 341, 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 treinta y sietewrongmultilingual.wordnum-v1conf 100% · 375ms · $0.000 · 23 tok
question
A number is written in French: « quatre cent sept ». Another is written in Spanish: « seiscientos treinta y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
946correctmultilingual.numword-v2conf 100% · 385ms · $0.000 · 21 tok
question
Compute 177 + 153, 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 trentecorrectmultilingual.numword-v2conf 100% · 488ms · $0.000 · 33 tok
question
Compute 231 + 261, 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-douzecorrectmultilingual.wordnum-v1conf 100% · 291ms · $0.000 · 21 tok
question
A number is written in French: « cent dix ». Another is written in Spanish: « ciento veintiséis ». 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:
-16correctmultilingual.wordnum-v1conf 100% · 288ms · $0.000 · 15 tok
question
A number is written in French: « deux cent trente-huit ». Another is written in Spanish: « ciento cuarenta ». 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:
98correctmultilingual.numword-v2conf 100% · 302ms · $0.000 · 30 tok
question
Compute 419 + 215, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent trente-quatrecorrectmultilingual.wordnum-v1conf 100% · 412ms · $0.000 · 17 tok
question
A number is written in French: « cent dix ». Another is written in Spanish: « setecientos quince ». 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:
825correctmultilingual.numword-v2conf 100% · 303ms · $0.000 · 34 tok
question
Compute 245 + 378, 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 veintitréscorrectmultilingual.numword-v2conf 100% · 692ms · $0.000 · 26 tok
question
Compute 391 + 218, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent neufcorrectmultilingual.wordnum-v1conf 100% · 373ms · $0.000 · 21 tok
question
A number is written in French: « deux cent trente-neuf ». Another is written in Spanish: « noventa y cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
333correctmultilingual.wordnum-v1conf 100% · 712ms · $0.000 · 21 tok
question
A number is written in French: « six cent huit ». Another is written in Spanish: « doscientos diecinueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
389correctmultilingual.numword-v2conf 100% · 462ms · $0.000 · 26 tok
question
Compute 53 + 216, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent soixante-neufcorrectmultilingual.numword-v2conf 100% · 2.1s · $0.000 · 25 tok
question
Compute 107 + 327, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent trente-quatrecorrectmultilingual.wordnum-v1conf 99% · 937ms · $0.000 · 23 tok
question
A number is written in French: « sept cent trente-neuf ». Another is written in Spanish: « doscientos dieciséis ». 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:
955correctmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 31 tok
question
Compute 470 + 451, 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:
neuf cent vingt et unwrongmultilingual.wordnum-v1conf 100% · 295ms · $0.000 · 15 tok
question
A number is written in French: « six cent quatre-vingt-six ». Another is written in Spanish: « seiscientos diecinueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
167correctmultilingual.wordnum-v1conf 99% · 792ms · $0.000 · 21 tok
question
A number is written in French: « deux cent cinquante-trois ». Another is written in Spanish: « cuatrocientos dieciséis ». 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:
-163correctmultilingual.numword-v2conf 100% · 418ms · $0.000 · 27 tok
question
Compute 311 + 140, 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 cinquante et uncorrectmultilingual.numword-v2anchorconf 100% · 317ms · $0.000 · 39 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 985ms · $0.000 · 21 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 662ms · $0.000 · 28 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 344ms · $0.000 · 21 tok
model answer:
762reasoning 10/30 correct
wrongreasoning.deduction.position-v1conf 99% · 267ms · $0.000 · 23 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Mona. Mona 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:
Noahcorrectreasoning.deduction.order-v2conf 95% · 320ms · $0.000 · 24 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Quinn is heavier than Jonas. Kira is heavier than Quinn. Rosa is heavier than Hana. Tessa is heavier than Hana. Priya is taller than everyone here, but Priya is not being ranked. Tessa is heavier than Hana. Ines is heavier than Kira. Tessa is heavier than Rosa. Kira is heavier than Hana. Jonas is heavier than Tessa. 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:
Kirawrongreasoning.deduction.order-v2conf 92% · 277ms · $0.000 · 24 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Quinn. Dara is taller than Farah. Ola is taller than Ines. Dara is taller than Farah. Dara is taller than Farah. Rosa is taller than Hana. Alice is heavier than everyone here, but Alice is not being ranked. Hana is taller than Dara. Quinn is taller than Farah. Farah is taller than Ola. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahwrongreasoning.deduction.position-v1conf 100% · 298ms · $0.000 · 21 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 4 in the queue. Rosa is directly ahead of Goran. Goran is directly ahead of Jonas. Jonas is directly ahead of Mona. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Goranwrongreasoning.deduction.order-v2conf 98% · 486ms · $0.000 · 23 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Liam. Emil is taller than Dara. Dara is taller than Ola. Quinn is taller than Dara. Quinn is taller than Tessa. Tessa is taller than Sami. Tessa is taller than Emil. Rosa is faster than everyone here, but Rosa is not being ranked. Liam is taller than Emil. Ola is taller than Sami. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.position-v1conf 100% · 455ms · $0.000 · 18 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Kira. Farah is number 1 in the queue. Ines is directly ahead of Sami. 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:
Farahcorrectreasoning.deduction.position-v1conf 99% · 271ms · $0.000 · 20 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 2 in the queue. Priya is directly ahead of Quinn. Rosa is directly ahead of Jonas. 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:
Jonaswrongreasoning.deduction.order-v2conf 94% · 437ms · $0.000 · 24 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Quinn is faster than Rosa. Liam is faster than Kira. Mona is taller than everyone here, but Mona is not being ranked. Priya is faster than Dara. Quinn is faster than Goran. Dara is faster than Goran. Kira is faster than Priya. Kira is faster than Quinn. Rosa is faster than Priya. Liam is faster than Dara. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 303ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Bruno. Bruno is number 2 in the queue. Rosa is directly ahead of Goran. 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:
Samiwrongreasoning.deduction.order-v2conf 86% · 340ms · $0.000 · 23 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Jonas. Dara is faster than everyone here, but Dara is not being ranked. Rosa is older than Hana. Jonas is older than Hana. Sami is older than Liam. Rosa is older than Priya. Priya is older than Sami. Priya is older than Jonas. Hana is older than Alice. Liam is older than Jonas. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.position-v1conf 100% · 409ms · $0.000 · 18 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Ola. Goran is directly ahead of Mona. Ola is number 3 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Goranwrongreasoning.deduction.order-v2conf 84% · 364ms · $0.000 · 24 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Bruno. Emil is faster than everyone here, but Emil is not being ranked. Ola is heavier than Farah. Hana is heavier than Bruno. Quinn is heavier than Ola. Hana is heavier than Tessa. Hana is heavier than Quinn. Bruno is heavier than Tessa. Hana is heavier than Tessa. Farah is heavier than Priya. 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:
Priyawrongreasoning.deduction.position-v1conf 100% · 559ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Priya is number 2 in the queue. Liam is directly ahead of Bruno. Jonas is directly ahead of Priya. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brunowrongreasoning.deduction.order-v2conf 96% · 275ms · $0.000 · 23 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Mona is taller than Liam. Goran is taller than Chen. Liam is taller than Ines. Mona is taller than Chen. Mona is taller than Jonas. Kira is older than everyone here, but Kira is not being ranked. Ines is taller than Chen. Emil is taller than Mona. Jonas is taller than Liam. Ines is taller than Goran. 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:
Emilwrongreasoning.deduction.position-v1conf 100% · 363ms · $0.000 · 23 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Dara. Liam is directly ahead of Nadir. Dara is number 4 in the queue. Nadir is directly ahead of Emil. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamwrongreasoning.deduction.order-v2conf 99% · 1.4s · $0.000 · 23 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Emil. Ola is taller than Chen. Emil is taller than Tessa. Dara is taller than Chen. Tessa is taller than Farah. Dara is taller than Ola. Farah is taller than Dara. Tessa is taller than Dara. Goran is older than everyone here, but Goran is not being ranked. Tessa is taller 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:
Darawrongreasoning.deduction.order-v2conf 99% · 628ms · $0.000 · 23 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Ola. Quinn is taller than Nadir. Emil is older than everyone here, but Emil is not being ranked. Bruno is taller than Rosa. Nadir is taller than Alice. Chen is taller than Ola. Bruno is taller than Chen. Rosa is taller than Nadir. Quinn is taller than Bruno. Chen is taller than Rosa. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 95% · 323ms · $0.000 · 18 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 1 in the queue. Kira is directly ahead of Nadir. Nadir is directly ahead of Dara. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kirawrongreasoning.deduction.position-v1conf 100% · 409ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Mona. Mona is number 3 in the queue. Dara is directly ahead of Hana. 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:
Darawrongreasoning.deduction.order-v2conf 99% · 372ms · $0.000 · 24 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is older than Priya. Goran is older than Emil. Hana is older than Tessa. Priya is older than Goran. Tessa is older than Alice. Hana is older than Alice. Kira is older than Goran. Hana is older than Goran. Ines is taller than everyone here, but Ines is not being ranked. Kira is older than Hana. 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 829ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Liam. Liam is directly ahead of Rosa. Priya is number 4 in the queue. Rosa is directly ahead of Priya. 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:
Brunowrongreasoning.deduction.order-v2conf 96% · 751ms · $0.000 · 23 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is taller than everyone here, but Priya is not being ranked. Mona is heavier than Bruno. Alice is heavier than Rosa. Rosa is heavier than Ines. Bruno is heavier than Ines. Ines is heavier than Quinn. Sami is heavier than Mona. Sami is heavier than Ines. Alice is heavier than Ines. Rosa is heavier 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:
Rosawrongreasoning.deduction.position-v1conf 100% · 425ms · $0.000 · 23 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Mona. Kira is directly ahead of Hana. Mona is directly ahead of Kira. Hana 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:
Rosawrongreasoning.deduction.order-v2conf 95% · 869ms · $0.000 · 23 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is heavier than everyone here, but Jonas is not being ranked. Chen is older than Ola. Mona is older than Alice. Tessa is older than Bruno. Mona is older than Bruno. Tessa is older than Alice. Alice is older than Bruno. Ola is older than Tessa. Liam is older than Chen. Tessa is older than Mona. 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:
Liamcorrectreasoning.deduction.position-v1conf 100% · 371ms · $0.000 · 18 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 3 in the queue. Jonas is directly ahead of Goran. Hana 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:
Goranwrongreasoning.deduction.order-v2conf 98% · 440ms · $0.000 · 23 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Goran. Goran is taller than Jonas. Chen is taller than Quinn. Alice is older than everyone here, but Alice is not being ranked. Tessa is taller than Sami. Sami is taller than Jonas. Rosa is taller than Tessa. Chen is taller than Tessa. Goran is taller than Sami. Quinn is taller than Rosa. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.position-v1anchorconf 98% · 421ms · $0.000 · 23 tok
model answer:
Quinnwrongreasoning.deduction.order-v2anchorconf 96% · 464ms · $0.000 · 23 tok
model answer:
Rosawrongreasoning.deduction.order-v2anchorconf 94% · 751ms · $0.000 · 23 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 316ms · $0.000 · 21 tok
model answer:
Farahterminal 19/30 correct
correctterminal.fs.tree-v1conf 98% · 1.4s · $0.000 · 49 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/assets`): ``` /proj/assets/index.md /proj/assets/report.txt /proj/assets/util.md /proj/setup.cfg /proj/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv assets/report.txt assets/report-1.log rm todo.cfg cd src rm ../../proj/assets/report-1.log mv ../../proj/assets/util.md ../../proj/assets/notes-6.cfg touch report-2.cfg cd . rm report-2.cfg cd ../../proj touch src/notes-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/assets/index.md
/proj/assets/notes-6.cfg
/proj/setup.cfg
/proj/src/notes-2.mdcorrectterminal.exit.chain-v1conf 100% · 368ms · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f data.txt && echo C || echo D test -f app.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 1.2s · $0.000 · 23 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` max,legal,68,13 fay,eng,103,57 bo,eng,3,18 eli,sales,66,42 pam,eng,6,79 dev,eng,36,49 ivy,sales,81,67 lou,eng,63,63 ana,hr,65,42 jon,sales,75,71 ned,ops,44,89 cy,hr,22,20 gus,legal,106,33 oli,sales,82,79 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,65
cy,22wrongterminal.fs.tree-v1conf 98% · 404ms · $0.000 · 60 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/logs`): ``` /proj/assets/main.log /proj/conf/todo.txt /proj/conf/util.cfg /proj/index.cfg /proj/setup.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm assets/main.log cp setup.cfg assets/ cp index.cfg assets/ rm assets/setup.cfg mkdir -p assets/src-4 mv setup.cfg main-3.cfg mv conf/todo.txt ./ touch main-5.log cd assets ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/index.cfg
/proj/assets/src-4
/proj/conf/util.cfg
/proj/main-3.cfg
/proj/main-5.log
/proj/todo.txtcorrectterminal.exit.chain-v1conf 100% · 450ms · $0.000 · 33 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 885ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ned,sales,60,18
oli,eng,62,23
lou,sales,86,26
cy,ops,48,11
ana,legal,53,42
max,eng,70,95
fay,ops,15,98
ivy,legal,30,53
hal,hr,106,36
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
83correctterminal.exit.chain-v1conf 99% · 356ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f tmp.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:
B
D
F
exit:1wrongterminal.fs.tree-v1conf 97% · 473ms · $0.001 · 82 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/logs`): ``` /proj/conf/draft.log /proj/conf/setup.log /proj/docs/main.txt /proj/notes.txt /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p docs/docs-1 touch logs/main-7.log mv util.txt util-7.cfg mkdir -p src-1 mv util-7.cfg docs/docs-1/ cp conf/draft.log docs/docs-1/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/draft.log
/proj/conf/setup.log
/proj/docs/docs-1/draft.log
/proj/docs/docs-1/util-7.cfg
/proj/docs/main.txt
/proj/logs/main-7.log
/proj/notes.txt
/proj/src-1correctterminal.pipeline.predict-v1conf 100% · 436ms · $0.000 · 23 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,ops,99,73 ivy,hr,8,44 gus,hr,118,84 hal,sales,29,17 bo,legal,88,48 max,hr,40,20 lou,ops,22,20 ana,hr,21,91 eli,eng,78,31 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,21
gus,118wrongterminal.fs.tree-v1conf 54% · 303ms · $0.001 · 85 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/assets`): ``` /proj/assets/notes.cfg /proj/assets/report.log /proj/conf/setup.cfg /proj/draft.cfg /proj/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p docs/assets-2 cd . mv conf/setup.cfg docs/assets-2/ mkdir -p docs/src-4 mkdir -p assets/conf-9 touch docs/assets-2/util-4.txt cp todo.cfg docs/src-4/ rm assets/report.log touch conf/notes-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:
/proj/assets/notes.cfg
/proj/assets/conf-9
/proj/conf/notes-4.cfg
/proj/draft.cfg
/proj/docs/assets-2/setup.cfg
/proj/docs/assets-2/util-4.txt
/proj/docs/src-4/todo.cfg
/proj/todo.cfgcorrectterminal.exit.chain-v1conf 99% · 255ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 666ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ivy,legal,86,39
hal,ops,5,93
gus,eng,88,89
cy,ops,19,57
oli,hr,75,10
eli,hr,103,90
ned,hr,103,34
lou,ops,102,59
ana,eng,59,24
jon,hr,99,79
bo,hr,108,16
dev,ops,94,30
kim,legal,92,39
fay,sales,84,97
```
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:
147correctterminal.exit.chain-v1conf 99% · 536ms · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, basil (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B false && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
Z
exit:0wrongterminal.fs.tree-v1conf 98% · 814ms · $0.001 · 74 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/build`): ``` /proj/conf/draft.cfg /proj/index.md /proj/notes.cfg /proj/src/report.txt /proj/src/setup.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p src/src-6 cd . cp src/setup.txt build/ cp conf/draft.cfg src/src-6/ mkdir -p src/src-2 touch main-1.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/setup.txt
/proj/conf/draft.cfg
/proj/index.md
/proj/main-1.log
/proj/notes.cfg
/proj/src/report.txt
/proj/src/setup.txt
/proj/src/src-2
/proj/src/src-6/draft.cfgcorrectterminal.pipeline.predict-v1conf 100% · 391ms · $0.000 · 32 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` max,ops,118,91 fay,eng,32,69 pam,ops,46,93 bo,legal,5,67 hal,eng,42,98 ned,hr,40,10 jon,sales,75,53 oli,legal,20,42 gus,hr,78,14 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
fay,eng,32,69
hal,eng,42,98correctterminal.exit.chain-v1conf 99% · 1.6s · $0.000 · 33 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B test -f data.txt && echo C || echo D grep -q dune 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
F
G
exit:1wrongterminal.fs.tree-v1conf 97% · 397ms · $0.000 · 61 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/assets`, `/proj/docs`): ``` /proj/build/report.txt /proj/docs/notes.cfg /proj/docs/todo.log /proj/main.cfg /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p docs/build-3 rm build/report.txt cd docs mv ../../proj/main.cfg ../../proj/ cd ../../proj/assets mv ../../proj/docs/notes.cfg ../../proj/docs/main-9.log touch ../../proj/util-8.txt mv ../../proj/docs/main-9.log ../../proj/docs/index-4.txt mv ../../proj/util.log ./ mkdir -p ../../proj/build/src-1 cd ../../proj/build/src-1 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/build-3
/proj/docs/index-4.txt
/proj/docs/todo.log
/proj/main.cfg
/proj/util-8.txt
/proj/assets/util.logcorrectterminal.exit.chain-v1conf 100% · 394ms · $0.000 · 29 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F grep -q coral notes.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
H
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 366ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,ops,42,86
dev,hr,114,75
eli,legal,14,47
max,eng,96,85
ned,eng,55,53
gus,legal,50,88
ana,ops,34,79
fay,sales,29,68
cy,ops,93,59
bo,eng,57,86
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 75 { 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:
1wrongterminal.fs.tree-v1conf 88% · 254ms · $0.001 · 78 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/docs`, `/proj/logs`): ``` /proj/docs/index.cfg /proj/docs/util.txt /proj/logs/main.cfg /proj/notes.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 mv todo.md setup-6.txt cd docs rm ../../proj/logs/main.cfg cp index.cfg ../../proj/ cd ../../proj mkdir -p docs/conf-7 cd docs/conf-7 cp ../../../proj/notes.log ./ cd ../../../proj/logs touch ../../proj/todo-9.log touch ../../proj/index-8.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/conf-7/notes.log
/proj/docs/index.cfg
/proj/docs/util.txt
/proj/index-8.txt
/proj/logs/main.cfg
/proj/notes.log
/proj/setup-6.txt
/proj/todo-9.logcorrectterminal.pipeline.predict-v1conf 100% · 396ms · $0.000 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,sales,54,92
kim,legal,104,90
max,hr,36,62
ned,legal,33,31
cy,hr,38,33
fay,legal,27,57
lou,hr,24,72
jon,eng,86,34
pam,ops,18,37
gus,legal,26,70
bo,eng,63,53
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
190wrongterminal.fs.tree-v1conf 72% · 418ms · $0.001 · 73 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/conf`): ``` /proj/assets/draft.log /proj/conf/main.log /proj/conf/setup.md /proj/report.md /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 cp todo.md conf/ touch notes-4.cfg rm assets/draft.log rm conf/todo.md cp conf/main.log build/ mkdir -p conf/logs-9 cd build rm ../../proj/report.md cp main.log ../../proj/conf/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/main.log
/proj/conf/logs-9
/proj/conf/main.log
/proj/conf/setup.md
/proj/conf/todo.md
/proj/notes-4.cfg
/proj/report.md
/proj/todo.mdcorrectterminal.exit.chain-v1conf 99% · 514ms · $0.000 · 29 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D test -f tmp.txt && echo E || echo F false && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
F
H
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 774ms · $0.000 · 17 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
kim,ops,40,55
lou,hr,39,80
ana,hr,16,81
hal,hr,67,51
gus,legal,20,44
ned,eng,89,18
dev,sales,30,62
jon,legal,14,98
max,eng,100,50
oli,sales,27,54
pam,eng,72,83
eli,legal,56,90
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' 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:
57correctterminal.exit.chain-v1conf 99% · 784ms · $0.000 · 29 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q amber notes.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F test -f tmp.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:0wrongterminal.fs.tree-v1conf 86% · 381ms · $0.000 · 49 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/report.md /proj/assets/setup.txt /proj/docs/todo.cfg /proj/draft.md /proj/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm assets/setup.txt mv draft.md util-6.cfg cd build cd ../../proj rm util.cfg cp util-6.cfg build/ mkdir -p assets/assets-5 cd build ``` 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/report.md
/proj/assets/assets-5
/proj/build/util-6.cfg
/proj/docs/todo.cfgwrongterminal.pipeline.predict-v1anchorconf 100% · 626ms · $0.000 · 16 tok
model answer:
2wrongterminal.pipeline.predict-v1anchorconf 99% · 425ms · $0.000 · 39 tok
model answer:
eli,eng,60,55
max,eng,43,64
dev,eng,81,95correctterminal.exit.chain-v1anchorconf 100% · 348ms · $0.000 · 26 tok
model answer:
B
D
E
G
exit:1wrongterminal.fs.tree-v1anchorconf 91% · 626ms · $0.001 · 82 tok
model answer:
/proj/build-4
/proj/build/logs-8
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgvision ocr 25/30 correct
correctvision.ocr.table-read-v1conf 99% · 652ms · $0.001 · 17 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:
88correctvision.ocr.code-hunt-v1conf 99% · 469ms · $0.001 · 16 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. 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:
MUHKFCcorrectvision.ocr.table-read-v1conf 99% · 424ms · $0.001 · 17 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:
97wrongvision.ocr.code-hunt-v1conf 78% · 376ms · $0.001 · 25 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. 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:
M3HNUA9correctvision.ocr.table-read-v1conf 98% · 501ms · $0.001 · 15 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:
61correctvision.ocr.code-hunt-v1conf 98% · 505ms · $0.001 · 17 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:
HTXVKJcorrectvision.ocr.table-read-v1conf 98% · 444ms · $0.001 · 15 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:
75correctvision.ocr.table-read-v1conf 99% · 729ms · $0.001 · 15 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:
79correctvision.ocr.code-hunt-v1conf 99% · 323ms · $0.001 · 18 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:
YDUPD4correctvision.ocr.code-hunt-v1conf 96% · 2.0s · $0.001 · 18 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:
DATHDWFHcorrectvision.ocr.table-read-v1conf 99% · 371ms · $0.001 · 15 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:
32correctvision.ocr.table-read-v1conf 98% · 359ms · $0.001 · 17 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:
134correctvision.ocr.code-hunt-v1conf 98% · 347ms · $0.001 · 24 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. 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:
WPDWEMHPcorrectvision.ocr.table-read-v1conf 99% · 751ms · $0.001 · 17 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:
65correctvision.ocr.code-hunt-v1conf 95% · 316ms · $0.001 · 17 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:
CHPNCVUcorrectvision.ocr.code-hunt-v1conf 99% · 656ms · $0.001 · 17 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:
YECFH9correctvision.ocr.table-read-v1conf 99% · 1.4s · $0.001 · 15 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:
59wrongvision.ocr.code-hunt-v1conf 98% · 732ms · $0.001 · 18 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:
UYKKTTUMcorrectvision.ocr.table-read-v1conf 98% · 324ms · $0.001 · 15 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:
48correctvision.ocr.code-hunt-v1conf 98% · 732ms · $0.001 · 19 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:
E7E4MEFcorrectvision.ocr.table-read-v1conf 99% · 516ms · $0.001 · 23 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:
59correctvision.ocr.code-hunt-v1conf 98% · 817ms · $0.001 · 24 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:
7E377Pcorrectvision.ocr.table-read-v1conf 99% · 569ms · $0.001 · 15 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:
131wrongvision.ocr.code-hunt-v1conf 99% · 649ms · $0.001 · 25 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:
A37VNR9Ucorrectvision.ocr.table-read-v1conf 98% · 530ms · $0.001 · 17 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:
82correctvision.ocr.code-hunt-v1conf 99% · 315ms · $0.001 · 23 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:
WH9XRYcorrectvision.ocr.table-read-v1anchorconf 99% · 437ms · $0.001 · 17 tok
model answer:
15wrongvision.ocr.code-hunt-v1anchorconf 98% · 2.2s · $0.001 · 26 tok
model answer:
YH9E4WMPwrongvision.ocr.code-hunt-v1anchorconf 98% · 562ms · $0.001 · 17 tok
model answer:
LX7993Dcorrectvision.ocr.table-read-v1anchorconf 99% · 667ms · $0.001 · 17 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit514
- 2026-08-05v0.2.0index_fit514
- 2026-08-05v0.2.0index_fit513
- 2026-08-05v0.2.0index_fit514
- 2026-08-05v0.2.0index_fit515
- 2026-08-05v0.2.0index_fit516
- 2026-08-05v0.2.0index_fit518
- 2026-08-05v0.2.0index_fit519
- 2026-08-05v0.2.0index_fit522
- 2026-08-05v0.2.0index_fit523
- 2026-08-05v0.2.0index_fit524
- 2026-08-05v0.2.0index_fit525
- 2026-08-05v0.2.0index_fit523
- 2026-08-05v0.2.0index_fit296