ByteDance: UI-TARS 7B

bytedance/ui-tars-1.5-7b · bytedance · context 128 000 · in $0.100/1M · out $0.200/1M

Global Index

416

95% CI [382–450] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	259 [224–294]	0.056	0.50	0.00	0.000	254ms	$0.144
code	281 [204–358]	0.247	0.57	0.47	0.327	239ms	$0.177
instruction following	273 [215–331]	0.156	0.76	0.50	0.180	280ms	$0.023
knowledge	705 [532–877]	0.549	0.83	1.00	0.000	223ms	$0.012
math	427 [358–496]	0.204	0.67	0.53	0.000	235ms	$0.095
multilingual	654 [510–799]	0.530	0.72	0.79	0.000	253ms	$0.037
reasoning	188 [145–231]	0.102	0.66	0.28	0.220	229ms	$0.057
terminal	284 [244–324]	0.074	0.55	0.07	0.000	232ms	$0.034
vision ocr	673 [511–835]	0.513	0.98	0.97	0.038	640ms	$0.092

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 0/30 correct

wrongagentic.tools.context-load-v1conf 100% · 277ms · $0.001 · 1472 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 (127 records, format: id|customer|region|item|qty|status):
```
1343|harbor|south|sensor|85|shipped
1561|juno|west|valve|64|pending
1395|cobalt|west|sensor|15|shipped
1382|dorian|west|cable|95|shipped
1544|dorian|west|sensor|33|pending
1353|birch|east|cable|62|shipped
1679|dorian|west|cable|74|shipped
1410|acme|south|panel|82|shipped
1392|gale|west|frame|40|paid
1344|harbor|west|gasket|35|pending
1396|cobalt|east|pump|68|paid
1318|cobalt|north|valve|25|shipped
1547|cobalt|east|pump|28|pending
1219|cobalt|west|panel|77|pending
1360|dorian|east|pump|92|paid
1532|ember|west|sensor|66|pending
1457|acme|north|sensor|45|paid
1398|ionic|south|gasket|21|pending
1660|ember|east|frame|63|held
1622|cobalt|north|valve|43|paid
1512|dorian|east|valve|67|shipped
1422|ionic|south|rotor|69|paid
1429|gale|north|sensor|91|held
1192|cobalt|north|gasket|92|pending
1695|ember|west|panel|17|shipped
1464|dorian|north|frame|58|held
1337|cobalt|east|valve|43|held
1484|fulton|east|rotor|42|shipped
1686|juno|west|gasket|91|held
1185|cobalt|north|sensor|32|pending
1596|ionic|north|sensor|40|paid
1593|fulton|east|frame|36|pending
1509|gale|east|panel|90|pending
1285|acme|west|panel|17|held
1636|ionic|west|sensor|33|paid
1455|acme|east|gasket|82|pending
1617|ember|west|gasket|77|shipped
1247|birch|east|pump|78|pending
1567|acme|west|frame|42|paid
1653|cobalt|south|valve|34|pending
1275|birch|east|frame|30|paid
1520|acme|east|panel|76|shipped
1627|cobalt|north|sensor|23|paid
1212|cobalt|west|rotor|46|pending
1227|cobalt|north|sensor|36|pending
1316|acme|east|pump|99|paid
1641|dorian|north|rotor|92|paid
1329|acme|south|gasket|17|held
1670|birch|north|rotor|96|shipped
1323|fulton|north|panel|83|paid
1298|ember|west|cable|41|paid
1699|fulton|east|pump|78|pending
1372|dorian|east|frame|73|held
1300|ember|east|frame|71|held
1576|cobalt|west|gasket|96|shipped
1375|acme|west|rotor|29|shipped
1430|ember|south|panel|54|held
1306|gale|east|sensor|18|shipped
1404|harbor|north|valve|87|shipped
1291|gale|south|gasket|73|shipped
1478|fulton|east|pump|68|shipped
1442|acme|north|valve|52|paid
1234|cobalt|south|frame|96|pending
1462|harbor|east|sensor|73|held
1416|ionic|east|cable|41|paid
1565|harbor|south|pump|72|pending
1260|acme|north|valve|98|paid
1447|birch|north|valve|84|held
1448|fulton|west|sensor|32|held
1557|ember|east|cable|84|paid
1538|dorian|south|frame|90|shipped
1216|cobalt|north|frame|67|pending
1253|ionic|east|frame|76|held
1689|ionic|east|sensor|14|held
1490|harbor|west|rotor|13|shipped
1469|birch|north|pump|64|shipped
1697|fulton|east|cable|40|paid
1604|fulton|south|frame|59|pending
1635|gale|south|frame|91|pending
1497|fulton|north|gasket|67|held
1655|gale|east|valve|76|paid
1586|fulton|north|frame|44|pending
1437|juno|west|rotor|47|paid
1198|cobalt|east|pump|68|pending
1295|harbor|south|rotor|69|pending
1608|birch|west|panel|95|shipped
1603|harbor|north|pump|93|shipped
1648|harbor|east|sensor|24|paid
1527|harbor|west|sensor|66|shipped
1498|cobalt|west|rotor|57|paid
1267|juno|west|panel|94|paid
1515|harbor|west|cable|73|pending
1579|ember|east|cable|48|paid
1414|ionic|west|frame|39|shipped
1347|ember|south|gasket|51|held
1246|acme|west|gasket|81|paid
1556|fulton|east|gasket|89|shipped
1630|birch|south|sensor|86|pending
1325|gale|east|panel|45|shipped
1517|ember|east|cable|98|shipped
1220|cobalt|north|rotor|59|paid
1500|harbor|north|frame|88|shipped
1191|cobalt|north|gasket|84|paid
1335|fulton|east|sensor|41|held
1213|cobalt|north|rotor|66|paid
1675|dorian|west|rotor|97|held
1206|cobalt|north|cable|15|pending
1503|juno|east|frame|56|paid
1525|cobalt|north|gasket|90|held
1186|cobalt|west|gasket|21|pending
1610|ember|north|gasket|30|shipped
1590|gale|south|gasket|29|shipped
1261|ionic|south|gasket|42|shipped
1706|ember|east|rotor|48|shipped
1476|cobalt|east|pump|55|paid
1311|cobalt|south|valve|87|shipped
1615|fulton|north|frame|51|held
1366|dorian|west|sensor|60|shipped
1583|birch|west|cable|28|shipped
1663|juno|west|rotor|73|held
1554|ionic|south|cable|87|held
1280|ionic|east|pump|80|pending
1200|cobalt|north|frame|49|shipped
1240|cobalt|north|pump|72|held
1573|ember|west|panel|82|shipped
1387|acme|north|sensor|38|held
1270|ionic|east|pump|52|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer: (none extracted)

truncatedagentic.tools.context-load-v1conf — · 313ms · $0.001 · 2048 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 (211 records, format: id|customer|region|item|qty|status):
```
1585|birch|east|gasket|75|shipped
1456|birch|north|valve|57|pending
1481|fulton|south|frame|26|held
1983|birch|west|rotor|20|paid
1496|ionic|north|sensor|25|shipped
1492|birch|north|cable|54|held
1326|cobalt|south|pump|80|held
2059|acme|south|pump|50|pending
1486|dorian|east|sensor|17|pending
1610|harbor|east|frame|50|shipped
1683|gale|north|rotor|99|pending
2086|gale|south|panel|67|pending
1504|birch|east|pump|92|shipped
1883|ionic|east|frame|55|paid
1460|gale|west|frame|89|pending
1937|ionic|south|valve|55|held
1503|juno|east|gasket|13|held
1438|birch|east|rotor|24|paid
1641|juno|south|sensor|44|shipped
1259|ember|south|pump|99|pending
1591|gale|north|rotor|20|paid
1770|juno|north|panel|67|pending
1897|ember|west|frame|87|paid
1971|ember|east|pump|22|paid
2055|fulton|south|pump|21|paid
1309|ember|west|panel|56|pending
1981|ember|south|cable|95|held
1362|cobalt|east|gasket|58|shipped
1911|fulton|east|rotor|34|shipped
1466|ionic|south|cable|48|pending
1457|ionic|north|panel|53|shipped
1336|fulton|east|sensor|60|pending
2108|cobalt|south|pump|49|paid
1950|cobalt|west|panel|71|pending
1339|acme|north|cable|81|shipped
1704|gale|east|valve|61|pending
1299|ember|south|pump|69|held
1292|ember|north|rotor|91|pending
1928|gale|east|sensor|48|paid
1822|harbor|south|valve|57|held
1624|birch|south|sensor|30|shipped
1917|ember|east|sensor|29|paid
1350|cobalt|north|valve|77|held
1887|dorian|east|sensor|24|paid
1980|fulton|south|rotor|68|pending
2017|birch|south|sensor|35|pending
1688|acme|west|rotor|83|held
1870|gale|north|rotor|11|shipped
1718|dorian|east|sensor|62|paid
1270|ember|south|pump|49|pending
2113|juno|south|gasket|64|pending
1658|fulton|north|cable|96|pending
1904|birch|south|pump|13|shipped
2026|acme|north|frame|54|held
2119|dorian|north|cable|51|pending
1812|ember|north|frame|27|paid
1715|cobalt|south|sensor|56|shipped
1592|acme|west|frame|63|paid
2100|acme|east|rotor|96|pending
1687|ember|north|sensor|49|held
1778|dorian|south|pump|54|pending
1840|dorian|west|gasket|65|paid
1999|dorian|south|pump|63|shipped
1543|ionic|east|pump|76|held
2097|juno|east|frame|46|shipped
1786|ionic|west|sensor|87|held
1723|cobalt|west|frame|17|paid
1827|ember|south|frame|18|pending
1446|acme|south|rotor|13|held
1556|cobalt|west|gasket|99|shipped
1516|ionic|south|pump|24|paid
1341|dorian|west|valve|77|paid
2016|juno|north|rotor|87|paid
1448|gale|south|panel|51|held
2024|fulton|south|pump|25|shipped
1949|gale|north|valve|24|held
1931|ionic|west|sensor|27|paid
1758|dorian|west|pump|24|shipped
1280|ember|south|frame|31|held
1654|gale|south|pump|93|shipped
1691|ionic|east|rotor|48|held
1975|cobalt|west|frame|77|held
1987|juno|south|frame|22|pending
1550|acme|south|pump|91|held
2020|dorian|south|sensor|83|shipped
1357|ember|west|frame|41|shipped
1320|fulton|north|pump|30|pending
1970|dorian|north|gasket|78|paid
1921|juno|south|sensor|48|held
1961|gale|east|rotor|99|pending
1540|gale|west|rotor|51|paid
1421|juno|north|pump|50|shipped
1729|cobalt|south|gasket|36|pending
1528|ember|west|gasket|53|paid
1675|cobalt|east|valve|92|paid
1572|fulton|south|cable|32|held
1660|ember|south|pump|36|shipped
1432|juno|east|gasket|81|held
1681|ember|south|rotor|51|pending
1361|birch|south|gasket|34|shipped
1382|juno|east|sensor|66|held
2047|birch|west|pump|72|pending
1588|cobalt|north|sensor|66|pending
1919|acme|south|valve|91|shipped
1599|harbor|east|panel|29|paid
1472|cobalt|west|gasket|92|shipped
1265|ember|south|valve|19|shipped
1958|fulton|north|valve|63|pending
1698|acme|west|cable|47|paid
1454|ionic|south|sensor|35|held
1566|ember|north|sensor|30|paid
1411|cobalt|east|rotor|35|shipped
1803|ionic|south|panel|72|paid
2081|fulton|west|pump|89|pending
1578|acme|north|gasket|53|pending
2120|dorian|east|gasket|50|pending
1890|ember|north|gasket|52|pending
1355|ember|east|cable|64|held
1797|cobalt|south|rotor|92|pending
1509|harbor|east|sensor|18|paid
1621|fulton|north|sensor|47|paid
1562|juno|east|frame|27|paid
1991|ionic|north|panel|60|held
1944|harbor|south|valve|73|shipped
1347|ember|west|panel|68|paid
1780|cobalt|north|sensor|64|shipped
1328|fulton|east|sensor|22|shipped
1666|fulton|north|sensor|16|held
1724|fulton|north|sensor|64|pending
1741|juno|north|cable|87|pending
1864|gale|north|sensor|19|paid
1519|dorian|east|panel|35|pending
1416|acme|west|frame|66|paid
1437|ionic|east|panel|95|held
2077|cobalt|east|rotor|44|held
2005|cobalt|south|sensor|13|shipped
2111|dorian|north|sensor|52|held
1934|fulton|south|cable|69|shipped
1605|cobalt|west|cable|43|paid
1876|acme|east|panel|95|paid
2071|acme|west|pump|83|pending
1913|ionic|east|cable|20|shipped
1441|fulton|south|frame|96|held
1858|cobalt|east|rotor|57|paid
1771|harbor|north|gasket|88|paid
2104|ember|east|rotor|89|pending
1613|acme|north|valve|99|paid
2028|juno|west|valve|13|shipped
1784|juno|west|cable|51|pending
1479|gale|east|sensor|77|pending
1498|cobalt|east|cable|16|paid
1806|dorian|west|gasket|90|shipped
1525|harbor|east|valve|72|held
1393|harbor|west|cable|10|pending
2078|harbor|south|gasket|79|pending
1832|birch|south|panel|36|shipped
2061|birch|south|pump|79|pending
1534|acme|west|valve|92|paid
1330|gale|west|pump|84|held
2068|harbor|south|pump|97|shipped
1285|ember|south|panel|84|pending
1785|acme|south|gasket|53|paid
2040|ember|east|rotor|41|paid
1346|dorian|south|sensor|18|shipped
2093|gale|south|rotor|28|paid
1836|juno|south|gasket|54|held
1763|dorian|north|rotor|49|shipped
1369|dorian|north|rotor|69|pending
2083|fulton|south|valve|16|held
1388|acme|west|panel|62|held
1376|dorian|east|cable|67|held
1260|ember|east|sensor|96|pending
1671|fulton|west|rotor|82|pending
1966|fulton|south|valve|38|pending
1851|ember|south|gasket|15|pending
2011|juno|east|cable|70|paid
1700|birch|north|panel|14|pending
1630|juno|south|valve|77|paid
1352|fulton|west|sensor|63|held
1846|juno|west|sensor|75|held
1314|ember|south|sensor|49|paid
1735|fulton|south|gasket|84|shipped
1340|cobalt|west|frame|76|held
1709|birch|north|gasket|90|pending
2051|cobalt|south|pump|58|pending
1659|acme|north|panel|34|held
1818|gale|north|rotor|49|paid
1555|harbor|west|gasket|55|paid
1647|harbor|south|cable|67|paid
1276|ember|west|panel|15|pending
1627|cobalt|north|pump|13|paid
1427|juno|south|pump|76|held
1791|acme|south|gasket|65|held
2034|juno|east|valve|82|pending
1304|ember|south|sensor|14|pending
1754|juno|south|valve|56|shipped
1748|harbor|west|valve|42|held
1449|dorian|north|frame|48|paid
2030|ember|south|rotor|26|held
1405|acme|south|cable|17|shipped
1993|fulton|north|gasket|43|shipped
2064|fulton|north|pump|51|paid
1761|acme|north|cable|27|pending
1398|harbor|east|panel|40|paid
1397|ember|north|frame|86|held
2042|harbor|west|panel|37|shipped
1331|acme|east|panel|29|held
1620|acme|west|gasket|12|pending
1637|birch|north|panel|15|shipped
1644|dorian|west|gasket|93|held
1954|dorian|south|cable|32|paid
```

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

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

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

model answer: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 290ms · $0.000 · 244 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: $243
- echo: $215
- lima: $536

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $172 from "kilo" to "lima"
2. pay $480 from "kilo" to "lima"
3. pay $336 from "lima" to "kilo"
4. pay $117 from "echo" to "lima"

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

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

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

model answer: (none extracted)

wrongagentic.tools.triage-v1conf 100% · 226ms · $0.000 · 64 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → okafor
- payments → tanaka
- data → novak

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 8)
2. "card declined at checkout" (category: payments, priority 4)
3. "card declined at checkout" (category: payments, priority 4)

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

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

model answer: (none extracted)

wrongagentic.tools.deploy-v1conf 100% · 247ms · $0.000 · 103 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer: (none extracted)

truncatedagentic.tools.context-load-v1conf — · 311ms · $0.001 · 2048 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 (207 records, format: id|customer|region|item|qty|status):
```
1634|dorian|south|cable|59|pending
1865|ember|north|frame|69|held
1531|ember|west|gasket|46|pending
1633|juno|east|sensor|17|pending
2145|harbor|north|cable|66|paid
1966|ionic|south|panel|69|pending
1671|cobalt|west|sensor|23|held
1623|gale|north|panel|84|shipped
1520|ionic|east|panel|32|pending
2135|ionic|east|pump|41|held
1503|dorian|west|rotor|69|held
1574|cobalt|east|sensor|62|shipped
1666|harbor|west|rotor|31|pending
2281|dorian|south|rotor|88|pending
1480|harbor|south|sensor|29|pending
1701|ionic|north|cable|28|pending
1849|cobalt|south|panel|30|pending
2105|cobalt|east|panel|12|pending
1649|ionic|west|sensor|50|held
2223|cobalt|west|valve|78|held
2195|birch|east|frame|36|shipped
1938|fulton|east|valve|30|pending
1895|acme|west|cable|69|paid
1725|gale|south|valve|73|held
1961|ember|north|panel|15|paid
2155|cobalt|west|gasket|90|pending
1690|acme|west|sensor|93|held
1778|birch|north|panel|51|paid
1780|fulton|south|panel|65|shipped
2173|dorian|north|valve|88|held
1869|ember|west|gasket|93|shipped
1902|juno|east|sensor|56|paid
2051|ionic|north|frame|32|held
2251|fulton|east|valve|19|held
2086|acme|south|frame|96|held
1659|juno|west|rotor|16|held
1828|juno|east|cable|52|shipped
1910|ember|east|frame|55|shipped
1638|fulton|east|pump|58|held
1457|harbor|north|sensor|74|pending
2059|cobalt|north|frame|64|shipped
1499|ionic|south|sensor|35|held
2230|acme|west|rotor|19|pending
1706|ionic|south|gasket|56|paid
1768|gale|east|gasket|76|pending
1814|ionic|east|pump|14|paid
1989|harbor|west|cable|44|paid
1839|harbor|west|cable|78|pending
1864|birch|east|rotor|19|pending
1921|fulton|east|pump|35|held
2126|ionic|west|rotor|45|shipped
1775|dorian|west|sensor|77|paid
1516|fulton|east|rotor|88|held
1612|fulton|north|panel|78|shipped
1760|acme|east|valve|96|held
1556|birch|south|gasket|79|shipped
1992|fulton|north|frame|67|held
1676|fulton|north|frame|11|paid
2234|juno|south|frame|12|held
1832|birch|north|pump|52|pending
1979|cobalt|west|panel|52|shipped
1682|fulton|south|frame|52|pending
1953|acme|north|rotor|35|held
1932|harbor|north|cable|48|shipped
1526|harbor|north|valve|36|held
1981|acme|north|cable|23|shipped
2053|harbor|south|rotor|48|shipped
1543|dorian|west|frame|63|held
2057|dorian|east|valve|18|shipped
1990|ember|north|cable|24|held
2166|dorian|south|cable|96|pending
2009|ember|north|valve|93|held
1698|cobalt|west|cable|11|pending
1798|cobalt|north|frame|34|pending
2029|harbor|north|sensor|20|held
1555|dorian|south|cable|49|pending
1451|harbor|west|cable|76|pending
1983|harbor|east|panel|63|held
1472|harbor|east|gasket|77|pending
2262|fulton|south|gasket|83|shipped
2277|fulton|east|gasket|76|shipped
2221|cobalt|east|cable|62|pending
1967|dorian|north|frame|37|held
2111|harbor|north|sensor|91|held
2271|ember|north|cable|38|pending
2180|ionic|north|sensor|39|pending
1680|juno|west|frame|21|shipped
1722|ember|south|frame|59|held
1653|dorian|west|rotor|70|paid
2149|dorian|west|gasket|62|pending
1546|ionic|east|sensor|30|pending
1590|gale|south|gasket|92|paid
2074|ember|west|cable|27|paid
1662|ember|south|frame|23|paid
1976|ionic|south|panel|61|pending
1821|acme|south|cable|63|shipped
1729|dorian|west|frame|54|shipped
1917|dorian|east|pump|48|paid
1787|ionic|north|sensor|64|paid
1466|harbor|west|valve|44|pending
1794|fulton|west|sensor|26|pending
1859|gale|north|frame|30|paid
2260|ionic|south|valve|66|pending
2233|ionic|west|cable|75|held
1478|harbor|west|valve|32|pending
1517|dorian|south|gasket|40|held
2036|harbor|west|panel|59|pending
1854|juno|east|pump|31|paid
1581|ember|east|rotor|48|pending
1592|cobalt|north|rotor|47|pending
1758|harbor|west|frame|56|shipped
2022|dorian|east|pump|13|pending
1508|harbor|south|sensor|80|shipped
1943|fulton|east|panel|38|shipped
2018|ember|north|cable|15|pending
1600|birch|east|sensor|19|held
2041|acme|west|pump|95|pending
2193|dorian|south|rotor|46|paid
1513|acme|west|frame|40|held
1999|ember|west|cable|34|shipped
1616|cobalt|east|rotor|65|paid
1883|juno|south|pump|75|pending
1959|gale|south|gasket|35|pending
1695|gale|east|gasket|14|shipped
2172|ionic|east|frame|19|shipped
1906|ionic|east|panel|14|shipped
1754|birch|north|rotor|41|paid
1882|fulton|north|rotor|88|paid
1492|cobalt|west|valve|48|paid
1834|ember|south|panel|60|held
2032|gale|south|valve|30|pending
1686|cobalt|south|cable|19|shipped
2207|gale|south|sensor|43|paid
1553|birch|north|frame|87|shipped
1948|ionic|south|pump|43|paid
1715|ember|south|pump|92|shipped
1791|acme|east|rotor|99|paid
1603|cobalt|east|frame|83|held
1804|gale|east|gasket|67|shipped
2199|harbor|east|frame|63|paid
1624|ember|north|sensor|51|shipped
2128|juno|east|gasket|23|shipped
1735|fulton|north|gasket|22|shipped
2123|juno|south|frame|35|held
1873|fulton|east|valve|53|paid
1844|harbor|east|gasket|43|paid
1784|acme|south|cable|84|shipped
1707|juno|west|panel|26|pending
1610|harbor|north|sensor|37|held
1575|gale|south|sensor|25|pending
1745|dorian|north|pump|30|held
1841|ionic|south|gasket|20|shipped
1523|cobalt|west|gasket|10|held
1461|harbor|west|cable|59|held
1486|harbor|west|sensor|37|paid
2269|birch|west|panel|25|paid
2250|fulton|north|frame|44|paid
2098|harbor|south|sensor|53|held
2091|acme|south|frame|76|pending
2157|fulton|east|cable|68|paid
2061|cobalt|east|frame|29|pending
2046|cobalt|west|panel|98|held
2161|acme|east|sensor|67|held
1749|harbor|west|panel|44|pending
2214|ionic|west|panel|26|shipped
1645|ember|south|gasket|39|shipped
1712|fulton|north|frame|33|paid
2242|harbor|north|frame|81|paid
1925|ember|west|valve|60|shipped
2068|cobalt|west|rotor|29|shipped
1880|cobalt|east|frame|25|paid
2254|ionic|south|panel|33|pending
1971|ember|south|panel|38|pending
1896|birch|east|cable|10|shipped
2240|birch|west|pump|54|paid
1626|acme|east|rotor|50|paid
1599|ember|south|valve|60|shipped
1496|harbor|west|valve|63|held
1586|juno|west|frame|40|held
1711|juno|west|valve|49|held
1889|ionic|north|valve|61|shipped
1852|ember|north|frame|69|pending
1475|harbor|west|frame|82|shipped
2118|gale|east|frame|97|held
2040|acme|west|panel|11|paid
1570|dorian|east|cable|44|shipped
1759|gale|west|panel|15|pending
2015|ember|south|gasket|25|held
1708|acme|west|panel|65|pending
2082|fulton|south|valve|70|paid
2248|juno|south|valve|56|pending
1563|birch|west|panel|34|pending
2142|fulton|east|cable|32|paid
1537|birch|east|gasket|53|paid
1928|acme|north|valve|25|held
2006|fulton|south|frame|70|shipped
1810|ember|west|frame|39|paid
2081|cobalt|north|frame|74|held
1765|birch|north|frame|22|paid
2203|acme|south|frame|31|pending
1933|birch|east|cable|87|held
2187|birch|north|cable|26|pending
1738|birch|east|sensor|82|shipped
1675|harbor|west|sensor|12|paid
2273|gale|south|panel|57|held
1656|ember|west|valve|75|pending
1728|ember|south|cable|66|paid
```

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 > 47, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 281ms · $0.000 · 244 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: $745
- tango: $710
- oscar: $426

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $383 from "oscar" to "tango"
2. pay $497 from "tango" to "oscar"
3. pay $222 from "kilo" to "oscar"
4. pay $535 from "oscar" to "kilo"

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

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

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

model answer: (none extracted)

wrongagentic.tools.triage-v1conf 100% · 242ms · $0.000 · 64 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- infra → tanaka
- data → okafor
- auth → silva

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 4)
2. "export file corrupted" (category: data, priority 8)
3. "export file corrupted" (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: (none extracted)

wrongagentic.tools.deploy-v1conf 100% · 222ms · $0.000 · 99 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 353ms · $0.000 · 298 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $847
- tango: $742
- oscar: $158

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $167 from "echo" to "oscar"
2. pay $387 from "oscar" to "tango"
3. pay $248 from "echo" to "tango"
4. pay $168 from "tango" to "oscar"
5. pay $570 from "tango" to "echo"

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

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

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

model answer: (none extracted)

wrongagentic.tools.context-load-v1conf 100% · 320ms · $0.001 · 375 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 (258 records, format: id|customer|region|item|qty|status):
```
2360|fulton|south|panel|80|paid
2132|gale|west|gasket|17|paid
2035|fulton|north|gasket|37|paid
1550|dorian|north|pump|84|pending
2231|harbor|east|frame|57|pending
1910|gale|west|panel|30|pending
1899|fulton|south|frame|30|held
2012|juno|north|cable|92|held
2273|dorian|south|sensor|92|held
2335|birch|west|sensor|31|paid
2071|gale|east|cable|31|held
2075|gale|south|pump|40|paid
1489|juno|south|panel|57|shipped
1887|acme|north|pump|64|shipped
1745|acme|north|pump|31|held
1500|gale|west|rotor|92|shipped
1569|gale|west|panel|96|paid
2003|harbor|south|rotor|20|paid
2323|ember|west|rotor|64|shipped
1539|juno|south|frame|27|pending
1598|acme|east|panel|67|paid
2140|harbor|west|rotor|64|pending
1861|juno|north|cable|90|shipped
1768|harbor|north|sensor|76|shipped
1904|ionic|north|rotor|69|shipped
1487|ember|west|cable|25|pending
1615|fulton|west|valve|53|paid
1468|juno|south|cable|27|paid
1533|fulton|south|rotor|60|held
2222|acme|east|panel|72|held
1400|ionic|south|rotor|12|held
1343|acme|north|frame|69|pending
2266|dorian|east|gasket|54|shipped
2180|ember|east|sensor|32|held
1506|dorian|west|rotor|46|held
1648|harbor|south|cable|72|paid
1984|ember|west|valve|36|pending
1413|fulton|north|gasket|64|held
1462|dorian|south|panel|86|shipped
2260|acme|north|sensor|51|held
1626|cobalt|south|rotor|41|pending
1470|harbor|south|frame|43|shipped
1779|dorian|south|frame|27|shipped
2066|juno|south|pump|98|shipped
1678|acme|east|frame|30|paid
1636|dorian|east|rotor|64|paid
1530|dorian|west|rotor|43|paid
2253|acme|west|frame|58|paid
1942|harbor|north|valve|82|paid
1336|acme|north|pump|81|paid
2108|juno|east|panel|18|pending
1895|dorian|east|rotor|70|shipped
1398|birch|east|panel|85|paid
1480|gale|west|rotor|90|held
2211|cobalt|north|panel|70|shipped
2356|cobalt|north|pump|16|paid
1664|cobalt|north|panel|38|paid
2022|fulton|east|gasket|19|paid
2000|acme|south|pump|84|paid
1735|cobalt|east|gasket|87|paid
1341|acme|north|rotor|28|shipped
2078|cobalt|north|rotor|55|held
1784|ionic|north|pump|93|paid
2125|juno|north|gasket|91|pending
2153|ember|south|gasket|10|held
1617|dorian|north|pump|22|held
2210|fulton|west|gasket|32|shipped
2353|dorian|west|cable|47|held
1773|cobalt|north|rotor|73|pending
1653|ionic|west|rotor|19|shipped
1526|gale|east|frame|49|held
2166|dorian|south|valve|87|paid
1588|acme|east|gasket|14|held
2262|ionic|west|valve|48|held
1465|fulton|west|gasket|64|held
1378|gale|west|panel|45|pending
1611|dorian|north|cable|94|paid
2287|juno|south|rotor|90|paid
2298|ember|north|frame|13|held
1438|birch|south|valve|24|held
2201|ionic|south|panel|74|paid
2195|ionic|north|valve|47|shipped
1576|acme|west|cable|81|held
1365|acme|north|sensor|59|pending
2182|ember|north|sensor|27|shipped
1922|harbor|south|sensor|40|pending
2215|dorian|west|gasket|90|held
1361|acme|north|gasket|35|held
2160|acme|east|valve|83|held
1605|acme|south|panel|20|shipped
1687|juno|east|frame|24|pending
1884|ember|east|rotor|79|paid
1724|ionic|east|frame|63|paid
2280|acme|south|rotor|88|paid
1432|harbor|south|panel|31|pending
2101|dorian|south|cable|80|paid
1563|cobalt|north|gasket|84|pending
1350|acme|north|frame|95|paid
2050|ionic|east|valve|78|shipped
2244|ionic|north|pump|69|shipped
1966|dorian|east|gasket|25|paid
2046|birch|south|frame|99|paid
1761|ionic|south|rotor|44|held
1946|birch|south|pump|23|shipped
1381|dorian|west|gasket|47|pending
1445|dorian|south|gasket|18|held
1985|juno|west|cable|45|pending
1931|dorian|east|cable|60|paid
1815|harbor|south|rotor|45|paid
2134|ionic|east|pump|73|pending
1584|birch|east|frame|52|shipped
1860|juno|west|panel|66|shipped
2115|ember|north|cable|24|pending
2169|juno|west|rotor|14|shipped
1559|birch|south|rotor|71|pending
1579|acme|north|valve|19|pending
1736|gale|south|panel|25|pending
1827|dorian|east|frame|18|paid
1666|harbor|west|valve|89|pending
1789|harbor|north|cable|55|held
2161|juno|north|panel|75|pending
1764|fulton|east|cable|29|shipped
1457|acme|south|frame|53|paid
2041|dorian|west|gasket|53|paid
1877|birch|west|rotor|43|shipped
1623|harbor|east|frame|17|shipped
2096|cobalt|north|frame|72|shipped
1554|birch|north|gasket|55|shipped
1991|birch|north|sensor|16|held
1332|acme|north|pump|14|pending
2016|gale|north|rotor|91|paid
1376|cobalt|south|pump|80|paid
1893|fulton|north|panel|30|shipped
2005|birch|east|valve|71|paid
1894|cobalt|east|pump|43|paid
1697|juno|west|panel|55|pending
2226|juno|west|panel|43|held
1729|juno|west|cable|64|shipped
1508|fulton|south|cable|25|paid
2029|dorian|west|cable|12|pending
2118|dorian|south|sensor|59|pending
2327|cobalt|south|rotor|44|held
1495|dorian|north|sensor|15|held
1609|cobalt|east|gasket|57|held
1954|ionic|south|frame|97|held
2203|cobalt|north|frame|69|held
1384|fulton|east|rotor|93|shipped
1351|acme|north|sensor|98|pending
1934|dorian|west|rotor|87|shipped
1407|gale|west|panel|12|held
1337|acme|north|pump|60|pending
2219|birch|south|valve|67|shipped
1718|fulton|east|frame|48|paid
2173|ember|east|valve|92|pending
1394|harbor|south|sensor|97|paid
1801|cobalt|north|sensor|76|shipped
1333|acme|east|rotor|82|pending
1840|ember|south|cable|83|pending
1871|harbor|east|rotor|98|shipped
1806|gale|east|gasket|64|shipped
1842|ionic|north|panel|53|held
1748|fulton|north|panel|48|held
1919|dorian|north|panel|20|pending
1835|gale|east|valve|24|held
1941|gale|south|panel|82|pending
1794|acme|south|panel|56|shipped
2246|acme|west|sensor|31|pending
2330|acme|north|pump|23|held
1711|acme|south|cable|71|paid
1698|birch|west|cable|35|shipped
1680|cobalt|north|cable|80|shipped
1345|acme|south|sensor|10|pending
1843|ember|east|valve|33|held
1952|dorian|north|frame|33|paid
2352|acme|west|cable|80|pending
1592|acme|west|rotor|41|paid
1451|juno|north|valve|72|paid
1543|cobalt|south|valve|28|shipped
2089|cobalt|west|sensor|93|paid
1757|fulton|west|pump|46|held
2048|gale|east|gasket|25|paid
2294|acme|south|valve|42|paid
1420|dorian|west|panel|88|held
1996|cobalt|west|pump|57|held
1631|juno|north|frame|64|shipped
2361|dorian|north|panel|35|pending
2188|fulton|south|valve|68|pending
1961|fulton|west|frame|68|shipped
1673|gale|south|panel|65|paid
2056|harbor|east|rotor|29|held
2362|harbor|north|panel|57|paid
2084|cobalt|east|valve|96|pending
1643|ember|east|rotor|49|pending
2319|ionic|east|cable|69|shipped
1973|ionic|north|pump|64|held
1339|acme|south|rotor|29|pending
2068|ember|west|rotor|79|shipped
1373|acme|north|rotor|15|held
1477|acme|south|gasket|77|held
1913|dorian|north|panel|16|pending
1692|dorian|west|valve|51|held
2342|birch|west|rotor|20|held
1546|fulton|south|gasket|22|paid
1627|fulton|west|pump|54|pending
1732|ember|south|gasket|44|shipped
1354|acme|east|rotor|46|pending
1848|juno|north|frame|50|paid
1854|cobalt|west|valve|53|shipped
1439|dorian|north|rotor|65|pending
1925|ionic|west|cable|93|paid
1547|gale|south|cable|68|pending
1769|juno|west|panel|50|paid
2358|ember|north|gasket|14|paid
2026|ionic|north|rotor|15|held
1705|fulton|west|sensor|44|held
2314|juno|north|frame|70|held
2241|fulton|west|cable|57|held
2310|juno|north|pump|93|paid
2146|acme|north|frame|13|paid
1765|juno|east|sensor|39|shipped
1645|ionic|west|frame|15|held
1750|birch|north|gasket|21|shipped
1538|ionic|south|sensor|61|shipped
1659|dorian|north|rotor|54|shipped
1699|dorian|east|cable|27|pending
2331|ember|south|valve|96|shipped
1369|acme|west|frame|30|pending
1924|dorian|east|gasket|69|shipped
1484|acme|east|panel|27|shipped
2236|ember|south|gasket|31|held
2303|juno|east|panel|42|paid
1740|harbor|east|gasket|81|shipped
1519|ionic|west|gasket|60|shipped
1614|gale|east|panel|14|pending
1920|cobalt|south|sensor|66|held
2073|birch|east|panel|17|shipped
1980|cobalt|east|sensor|26|held
1800|acme|north|panel|90|shipped
1804|harbor|east|cable|47|held
1989|acme|west|valve|87|pending
1763|cobalt|east|pump|83|pending
1855|gale|north|panel|58|held
2349|ionic|west|pump|25|held
2061|ionic|east|sensor|95|shipped
1427|acme|east|cable|71|pending
1811|harbor|north|frame|74|held
1514|ionic|west|cable|12|paid
2087|fulton|west|panel|31|held
1652|gale|west|sensor|96|held
1868|harbor|south|panel|58|shipped
1387|ionic|north|panel|35|pending
1505|cobalt|east|pump|64|shipped
1501|harbor|east|rotor|51|shipped
2011|cobalt|west|pump|52|pending
1821|harbor|south|frame|18|pending
1415|gale|east|sensor|86|paid
2074|harbor|north|cable|91|paid
1830|dorian|south|pump|19|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "north" 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": 1489
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 1745
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 1904
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2003
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2222
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2266
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2323
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2356
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2358
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2360
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2361
        }
    },
    {
        "tool": "cancel_order",
        "args": {
            "order_id": 2362
        }
    }
]

wrongagentic.tools.triage-v1conf — · 237ms · $0.000 · 81 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 → dubois
- payments → chen
- data → novak

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "card declined at checkout" (category: payments, priority 5)
3. "SSO loop on login" (category: auth, priority 3)

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

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

model answer: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 254ms · $0.000 · 304 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: $232
- lima: $505
- echo: $685

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $258 from "kilo" to "lima"
2. pay $395 from "kilo" to "lima"
3. pay $226 from "kilo" to "lima"
4. pay $202 from "lima" to "kilo"
5. pay $229 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: (none extracted)

wrongagentic.tools.deploy-v1conf 100% · 237ms · $0.000 · 96 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer: (none extracted)

wrongagentic.tools.triage-v1conf 100% · 326ms · $0.000 · 87 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 → rivera
- data → silva
- auth → chen

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 3)
2. "export file corrupted" (category: data, priority 5)
3. "webhooks not delivered" (category: infra, priority 3)

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

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

model answer: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 243ms · $0.000 · 242 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: $209
- kilo: $448
- delta: $127

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $425 from "delta" to "bravo"
2. pay $340 from "kilo" to "bravo"
3. pay $558 from "kilo" to "delta"
4. pay $542 from "kilo" to "delta"

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

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

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

model answer: (none extracted)

wrongagentic.tools.deploy-v1conf 100% · 230ms · $0.000 · 100 tok

question

You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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: (none extracted)

wrongagentic.tools.triage-v1conf — · 232ms · $0.000 · 104 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- infra → chen
- data → okafor
- payments → dubois

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 7)
2. "webhooks not delivered" (category: infra, priority 7)
3. "card declined at checkout" (category: payments, priority 6)
4. "uploads failing intermittently" (category: infra, 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: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 387ms · $0.000 · 304 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: $686
- kilo: $170
- lima: $209

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $587 from "lima" to "oscar"
2. pay $161 from "kilo" to "oscar"
3. pay $167 from "lima" to "kilo"
4. pay $193 from "lima" to "kilo"
5. pay $132 from "oscar" to "lima"

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

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

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

model answer: (none extracted)

wrongagentic.tools.context-load-v1conf 100% · 409ms · $0.001 · 35 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 (270 records, format: id|customer|region|item|qty|status):
```
2383|dorian|east|rotor|50|pending
2061|ember|south|cable|86|held
1445|fulton|west|cable|49|shipped
1958|ionic|south|valve|95|shipped
2256|cobalt|north|gasket|93|held
1749|gale|west|panel|27|pending
1405|cobalt|south|sensor|28|shipped
1978|ionic|east|frame|55|shipped
1563|harbor|west|frame|63|held
1724|harbor|west|panel|34|held
2168|gale|west|sensor|18|held
1355|cobalt|east|pump|34|pending
2335|ionic|north|panel|97|shipped
1634|juno|west|sensor|47|pending
2139|fulton|west|rotor|81|pending
2313|ember|east|gasket|92|shipped
2194|gale|east|valve|57|held
1525|gale|south|panel|14|pending
1317|cobalt|west|rotor|97|pending
1501|ember|south|pump|36|paid
2308|cobalt|south|sensor|54|held
2228|birch|east|panel|34|paid
2291|ionic|south|rotor|40|paid
1996|birch|east|sensor|81|paid
1829|juno|east|cable|88|shipped
1628|ember|south|panel|54|shipped
1935|ionic|east|gasket|36|shipped
2263|cobalt|east|valve|51|paid
1311|cobalt|east|rotor|45|pending
2349|fulton|west|cable|73|pending
1654|ionic|north|rotor|49|shipped
1456|juno|south|panel|10|paid
1908|ember|east|rotor|53|pending
1351|cobalt|west|frame|18|pending
1649|ember|east|pump|50|pending
1388|ionic|south|panel|73|pending
1433|gale|south|cable|48|paid
1787|dorian|south|valve|51|held
1573|juno|west|frame|33|pending
1971|cobalt|east|gasket|82|pending
2120|birch|north|valve|52|held
1836|acme|north|rotor|51|shipped
1488|fulton|south|frame|31|paid
1777|dorian|south|frame|90|shipped
1378|fulton|south|sensor|87|pending
1474|ember|west|sensor|57|shipped
1745|dorian|west|cable|71|held
1759|ionic|east|panel|84|shipped
1330|cobalt|east|gasket|39|pending
1698|harbor|east|valve|55|pending
1549|fulton|south|valve|55|paid
2377|fulton|east|rotor|97|paid
2302|gale|east|rotor|36|pending
1800|birch|south|valve|90|shipped
2289|ionic|east|gasket|78|paid
1369|juno|west|gasket|60|pending
1864|ember|west|pump|90|pending
1609|dorian|west|valve|60|held
1658|acme|south|pump|35|held
2132|ionic|south|valve|51|held
2135|cobalt|west|sensor|95|shipped
1568|fulton|south|panel|81|shipped
2227|cobalt|north|pump|38|paid
1714|birch|west|panel|74|paid
2048|cobalt|east|pump|97|shipped
2117|harbor|north|pump|89|pending
1567|acme|north|sensor|13|pending
1744|fulton|east|panel|88|paid
1663|cobalt|north|pump|95|held
1575|ionic|north|sensor|12|pending
1604|juno|east|cable|74|held
1429|acme|north|pump|20|shipped
2217|ionic|east|rotor|27|paid
2264|juno|south|frame|33|pending
2207|gale|north|sensor|79|shipped
2054|birch|north|gasket|18|held
2170|fulton|south|cable|72|shipped
1656|fulton|west|sensor|81|paid
1905|birch|east|valve|35|pending
1687|fulton|north|frame|76|held
1477|birch|south|rotor|55|held
1403|acme|south|valve|12|paid
2199|dorian|north|pump|26|pending
1694|fulton|north|cable|15|held
1536|cobalt|south|cable|40|shipped
1910|ember|east|pump|37|pending
2189|juno|north|cable|62|held
2116|dorian|north|panel|90|shipped
2151|gale|east|sensor|62|held
1376|gale|west|valve|56|shipped
1913|gale|south|cable|51|shipped
1825|birch|south|cable|39|paid
2384|juno|south|gasket|60|pending
1792|gale|west|rotor|98|pending
2261|gale|east|panel|93|pending
2043|harbor|south|sensor|16|paid
1736|dorian|east|frame|97|shipped
1521|harbor|east|pump|93|paid
1784|acme|west|sensor|34|paid
2365|dorian|east|cable|47|shipped
1961|ember|west|frame|89|shipped
1769|fulton|west|rotor|86|shipped
2147|fulton|west|pump|12|shipped
2095|dorian|west|pump|71|pending
1778|cobalt|south|sensor|46|held
2002|fulton|south|cable|62|paid
1508|harbor|west|gasket|78|paid
2013|gale|north|sensor|18|shipped
1815|acme|east|frame|89|pending
1515|fulton|south|valve|21|held
1565|birch|south|pump|70|shipped
1946|harbor|north|pump|71|shipped
2104|dorian|south|cable|32|paid
2126|ionic|east|pump|17|held
1911|dorian|south|cable|43|shipped
1306|cobalt|west|valve|95|pending
2241|cobalt|north|valve|37|pending
2171|dorian|east|gasket|31|shipped
1325|cobalt|west|valve|80|pending
1548|dorian|north|sensor|93|shipped
2220|ember|east|sensor|34|held
2079|fulton|west|sensor|18|pending
2184|ember|south|rotor|49|held
2031|ember|east|sensor|83|pending
1517|dorian|east|sensor|29|held
2271|juno|south|frame|51|paid
2086|gale|south|cable|58|shipped
1391|ionic|west|sensor|87|held
2067|dorian|north|gasket|41|shipped
1620|dorian|west|panel|57|paid
1339|cobalt|north|cable|41|pending
1556|dorian|east|sensor|29|paid
2127|harbor|south|pump|67|shipped
1846|cobalt|north|valve|19|held
1936|ember|east|pump|91|pending
2110|ember|west|rotor|48|paid
1989|acme|west|pump|86|held
2089|fulton|north|frame|29|held
1509|gale|east|frame|96|held
2318|harbor|east|pump|62|shipped
1967|cobalt|west|valve|13|pending
2085|fulton|north|sensor|38|held
1773|dorian|south|rotor|71|shipped
1463|fulton|north|valve|26|paid
2098|dorian|south|rotor|74|held
2275|acme|north|cable|78|pending
1671|harbor|north|valve|16|pending
1826|juno|west|panel|51|shipped
1976|dorian|east|panel|37|paid
1878|harbor|east|gasket|43|paid
1845|gale|south|frame|17|held
2236|ember|east|cable|95|pending
2188|acme|south|valve|12|pending
1794|dorian|north|pump|46|pending
1962|birch|south|rotor|76|paid
1916|harbor|south|rotor|87|held
1940|ionic|south|pump|69|shipped
1766|cobalt|west|sensor|40|shipped
1539|gale|east|pump|86|pending
1439|acme|south|sensor|76|shipped
1810|acme|west|gasket|71|held
2287|birch|west|cable|20|held
1852|fulton|south|valve|35|paid
1605|dorian|west|valve|96|pending
2262|harbor|north|sensor|82|paid
2205|juno|east|frame|67|held
1314|cobalt|west|panel|92|paid
1344|cobalt|west|cable|94|held
1642|birch|east|frame|80|shipped
1483|acme|north|frame|92|paid
1641|birch|north|pump|64|paid
1824|gale|south|valve|98|paid
1530|gale|west|valve|89|shipped
1397|birch|south|frame|73|paid
1884|acme|north|rotor|37|paid
1457|ionic|east|panel|56|paid
1613|acme|west|gasket|51|held
2115|harbor|west|pump|83|pending
1953|dorian|north|gasket|66|held
2211|cobalt|west|panel|54|paid
1585|gale|north|panel|67|held
1321|cobalt|south|cable|44|pending
1540|acme|south|panel|64|held
1645|ember|east|frame|52|pending
1638|birch|west|gasket|70|held
2375|dorian|west|sensor|83|shipped
1832|ionic|south|sensor|97|shipped
2328|fulton|east|sensor|21|held
1763|ember|east|gasket|90|held
1898|juno|west|pump|30|held
2372|acme|west|sensor|44|shipped
1869|birch|north|gasket|43|pending
2243|cobalt|south|rotor|12|paid
2314|juno|north|cable|88|pending
2354|ember|east|valve|30|pending
1419|harbor|south|pump|46|held
1831|gale|north|sensor|45|held
1362|cobalt|west|pump|13|paid
2084|dorian|south|sensor|76|pending
1873|dorian|north|valve|42|paid
1929|ember|west|gasket|57|paid
2361|cobalt|east|gasket|67|held
2157|ember|south|gasket|64|paid
1889|birch|south|panel|64|shipped
1601|gale|south|rotor|78|shipped
1727|dorian|north|valve|86|shipped
1669|cobalt|west|rotor|76|held
1382|acme|west|rotor|62|pending
1594|gale|east|valve|42|held
2162|birch|west|cable|65|shipped
1983|ember|east|valve|75|pending
1579|ionic|west|frame|16|paid
2297|ionic|west|rotor|23|paid
1717|dorian|north|valve|37|pending
1676|acme|east|gasket|33|shipped
1336|cobalt|west|rotor|74|pending
1896|ionic|east|sensor|60|pending
2000|birch|west|gasket|47|pending
1994|harbor|south|gasket|73|held
2074|birch|east|pump|77|paid
2177|gale|west|rotor|77|shipped
1624|dorian|east|sensor|64|paid
1412|juno|south|cable|82|held
2020|juno|east|gasket|64|shipped
2234|harbor|north|valve|79|shipped
1754|juno|west|cable|98|shipped
1323|cobalt|west|pump|55|paid
1862|birch|east|pump|89|pending
1334|cobalt|west|rotor|67|held
2037|ionic|west|sensor|87|paid
1421|juno|east|panel|44|shipped
1633|gale|south|panel|47|paid
1468|ionic|south|gasket|85|shipped
1993|cobalt|north|frame|28|shipped
2249|juno|west|gasket|89|pending
2280|juno|south|pump|29|pending
1450|gale|east|sensor|39|paid
1495|ember|south|valve|17|pending
2373|birch|south|gasket|85|shipped
1422|dorian|north|valve|79|pending
2101|gale|west|rotor|51|shipped
1741|cobalt|east|frame|36|pending
2323|harbor|south|valve|42|held
1545|cobalt|east|sensor|96|paid
1700|ember|east|panel|68|held
1804|fulton|north|rotor|60|paid
2315|dorian|west|rotor|21|paid
2024|harbor|east|valve|16|pending
1583|cobalt|east|sensor|95|held
2337|acme|west|cable|39|paid
1858|gale|south|gasket|86|shipped
2364|birch|west|frame|21|paid
1809|birch|south|valve|10|shipped
2342|acme|west|gasket|92|pending
1707|acme|south|pump|70|held
1820|cobalt|west|frame|89|shipped
2009|juno|south|panel|15|held
1408|gale|east|sensor|84|paid
2141|cobalt|north|frame|18|shipped
1955|fulton|west|valve|60|pending
1587|acme|east|pump|35|held
1731|ember|south|gasket|46|shipped
1923|juno|north|gasket|41|shipped
1839|acme|east|panel|82|paid
1691|juno|north|rotor|50|shipped
2064|cobalt|south|gasket|65|pending
1735|birch|west|panel|55|held
2070|fulton|west|gasket|34|held
1681|harbor|north|valve|98|paid
1383|acme|south|pump|33|shipped
```

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

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

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

model answer: [{"tool": "cancel_order", "args": {"order_id": 1351}}]

wrongagentic.tools.deploy-v1conf — · 244ms · $0.000 · 95 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer: (none extracted)

wrongagentic.tools.triage-v1conf 100% · 235ms · $0.000 · 91 tok

question

You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- auth → haddad
- payments → chen
- data → dubois

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 4)
2. "refund double-charged" (category: payments, priority 9)
3. "refund double-charged" (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: (none extracted)

wrongagentic.tools.ledger-v1conf 100% · 241ms · $0.000 · 332 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: $467
- tango: $628
- delta: $890

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $105 from "kilo" to "tango"
2. pay $501 from "kilo" to "tango"
3. pay $390 from "tango" to "delta"
4. pay $302 from "delta" to "kilo"
5. pay $341 from "delta" 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: (none extracted)

wrongagentic.tools.context-load-v1conf 100% · 286ms · $0.000 · 34 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 (148 records, format: id|customer|region|item|qty|status):
```
1645|acme|south|rotor|53|paid
1691|dorian|west|panel|64|paid
1575|acme|south|rotor|46|held
1329|ionic|east|frame|43|held
1305|fulton|south|valve|22|shipped
1451|birch|west|rotor|28|shipped
1452|dorian|west|sensor|44|held
1783|ionic|east|valve|85|shipped
1471|juno|west|sensor|21|shipped
1789|birch|south|frame|40|shipped
1771|acme|south|sensor|42|pending
1728|harbor|east|valve|25|paid
1462|ionic|west|cable|29|held
1476|gale|south|gasket|86|paid
1336|cobalt|north|pump|69|pending
1584|ionic|south|frame|90|held
1814|harbor|south|panel|94|shipped
1597|harbor|south|frame|46|paid
1242|ionic|north|gasket|74|pending
1421|juno|east|rotor|18|shipped
1807|harbor|east|rotor|72|pending
1534|dorian|east|pump|95|held
1509|ionic|south|valve|60|held
1743|acme|north|frame|78|shipped
1362|harbor|west|pump|24|pending
1355|acme|west|cable|24|held
1708|birch|north|sensor|73|pending
1586|harbor|east|cable|66|shipped
1603|gale|east|cable|52|shipped
1399|gale|south|sensor|12|pending
1786|harbor|east|valve|69|held
1330|harbor|west|cable|35|shipped
1635|cobalt|west|gasket|55|paid
1764|dorian|west|pump|61|held
1458|cobalt|north|gasket|72|held
1650|fulton|north|sensor|55|held
1440|ember|north|pump|13|held
1558|birch|north|pump|19|paid
1593|ember|south|pump|90|pending
1346|ionic|east|panel|46|pending
1374|ionic|east|rotor|90|pending
1761|ionic|west|rotor|18|shipped
1669|acme|east|rotor|26|held
1406|gale|west|valve|83|shipped
1296|harbor|east|cable|95|shipped
1239|ionic|south|cable|17|pending
1276|ionic|north|frame|87|pending
1264|ionic|south|pump|29|pending
1468|birch|south|frame|32|pending
1617|ionic|east|rotor|88|held
1541|birch|east|gasket|57|shipped
1524|dorian|north|sensor|97|held
1288|ionic|north|valve|72|paid
1515|acme|west|gasket|24|pending
1665|cobalt|north|pump|75|held
1657|ionic|south|pump|66|shipped
1328|birch|south|panel|91|paid
1529|cobalt|north|panel|47|held
1742|harbor|west|frame|50|paid
1522|birch|south|gasket|79|paid
1497|ionic|north|frame|84|pending
1310|harbor|east|gasket|88|shipped
1438|birch|north|sensor|42|pending
1673|ionic|west|rotor|63|held
1488|ember|south|sensor|84|paid
1724|ember|south|valve|71|held
1240|ionic|north|rotor|31|held
1444|birch|north|gasket|98|held
1266|ionic|north|sensor|90|paid
1253|ionic|north|frame|98|paid
1750|ember|south|frame|35|held
1778|fulton|north|rotor|33|paid
1369|fulton|north|rotor|45|held
1552|ionic|west|valve|60|pending
1472|birch|west|pump|33|held
1268|ionic|north|valve|47|pending
1432|birch|east|gasket|57|held
1747|juno|north|pump|69|shipped
1568|ember|west|frame|49|pending
1802|fulton|north|sensor|74|shipped
1466|ionic|east|valve|23|pending
1696|fulton|west|valve|98|pending
1719|acme|east|sensor|24|shipped
1610|juno|north|rotor|19|shipped
1485|birch|north|panel|14|pending
1766|dorian|south|pump|13|pending
1238|ionic|north|cable|36|pending
1606|gale|south|pump|17|held
1718|acme|west|rotor|18|pending
1767|cobalt|east|frame|11|paid
1339|harbor|west|cable|56|pending
1341|fulton|west|frame|56|shipped
1678|ionic|south|valve|39|paid
1415|acme|south|panel|30|pending
1735|fulton|west|panel|67|pending
1248|ionic|south|rotor|41|pending
1664|ionic|north|pump|83|paid
1545|ember|east|valve|19|held
1661|cobalt|east|rotor|55|pending
1677|ember|west|gasket|98|pending
1282|ionic|south|rotor|66|pending
1627|harbor|east|panel|23|shipped
1394|fulton|west|cable|46|paid
1637|fulton|east|panel|57|held
1380|dorian|north|cable|15|paid
1389|fulton|east|gasket|63|pending
1794|ember|south|cable|79|held
1375|acme|north|sensor|76|held
1317|gale|south|frame|95|shipped
1289|dorian|south|gasket|14|paid
1348|dorian|west|rotor|41|pending
1410|harbor|south|frame|28|paid
1417|dorian|north|panel|95|pending
1521|ionic|west|valve|59|paid
1736|ember|south|cable|81|shipped
1260|ionic|north|panel|65|pending
1360|dorian|north|pump|70|held
1292|juno|south|panel|93|paid
1713|dorian|west|rotor|46|held
1273|ionic|north|sensor|47|paid
1576|juno|north|rotor|49|shipped
1639|cobalt|west|valve|11|shipped
1596|ionic|north|panel|99|paid
1583|acme|south|pump|85|pending
1790|ember|west|panel|23|paid
1322|birch|south|panel|78|shipped
1503|dorian|east|rotor|70|held
1479|harbor|west|sensor|56|shipped
1303|birch|north|valve|49|shipped
1799|cobalt|south|valve|94|pending
1437|harbor|west|gasket|97|paid
1425|harbor|south|cable|23|held
1562|ionic|south|rotor|56|paid
1628|fulton|east|pump|70|paid
1624|cobalt|east|cable|60|shipped
1672|acme|north|rotor|13|pending
1609|harbor|east|pump|23|shipped
1701|acme|west|panel|48|held
1382|ionic|north|panel|20|held
1379|gale|north|panel|71|held
1490|birch|west|rotor|34|pending
1605|ember|south|gasket|59|held
1755|ember|south|sensor|30|pending
1426|dorian|west|rotor|90|held
1682|birch|north|sensor|51|pending
1270|ionic|east|cable|96|pending
1470|gale|west|cable|90|shipped
1687|cobalt|west|panel|73|held
```

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 > 44, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer: (none extracted)

wrongagentic.tools.deploy-v1conf — · 228ms · $0.000 · 107 tok

question

You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- gateway: notifier, reports
- notifier: reports
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

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

model answer: (none extracted)

wrongagentic.tools.triage-v1conf — · 377ms · $0.000 · 103 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → okafor
- payments → novak
- data → chen

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 9)
2. "uploads failing intermittently" (category: infra, priority 9)
3. "export file corrupted" (category: data, priority 6)
4. "webhooks not delivered" (category: infra, priority 4)

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

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

model answer: (none extracted)

wrongagentic.tools.ledger-v1anchorconf 100% · 329ms · $0.000 · 295 tok

model answer: (none extracted)

wrongagentic.tools.context-load-v1anchorconf 100% · 394ms · $0.000 · 36 tok

model answer:

[
    {"tool": "cancel_order", "args": {"order_id": 1394}}
]

wrongagentic.tools.deploy-v1anchorconf 100% · 644ms · $0.000 · 29 tok

model answer: (none extracted)

wrongagentic.tools.triage-v1anchorconf — · 249ms · $0.000 · 102 tok

model answer: (none extracted)

code 14/30 correct

wrongcode.trace.nested-v1conf 100% · 220ms · $0.000 · 1341 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 13

correctcode.trace.js-v1conf 100% · 226ms · $0.000 · 273 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 % 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: 80

wrongcode.trace.nested-v1conf 100% · 387ms · $0.000 · 1354 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 19

correctcode.trace.python-v1conf 100% · 222ms · $0.000 · 548 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 5
while total + v <= 47:
    if v % 3 != 0:
        total += v
    v += 6
print(total)
```

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

model answer: 33

correctcode.trace.js-v1conf 100% · 216ms · $0.000 · 296 tok

question

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

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
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: 198

wrongcode.trace.nested-v1conf 100% · 260ms · $0.000 · 1599 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) % 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: 92

correctcode.trace.python-v1conf 100% · 239ms · $0.000 · 655 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 54:
    if v % 6 != 0:
        total += v
    v += 7
print(total)
```

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

model answer: 50

wrongcode.trace.js-v1conf 100% · 357ms · $0.000 · 352 tok

question

What does this JavaScript program log?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14];
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: 174

correctcode.trace.nested-v1conf 100% · 250ms · $0.000 · 1448 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 7):
        if j == 5 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: 104

wrongcode.trace.python-v1conf 100% · 680ms · $0.000 · 397 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 12
while total + v <= 46:
    if v % 3 != 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: 33

correctcode.trace.js-v1conf 100% · 221ms · $0.000 · 384 tok

question

What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 90

wrongcode.trace.nested-v1conf 100% · 237ms · $0.000 · 1363 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 5 + j
print(total)
```

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

model answer: 184

correctcode.trace.python-v1conf 100% · 251ms · $0.000 · 297 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 11
while total + v <= 33:
    if v % 3 != 0:
        total += v
    v += 7
print(total)
```

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

model answer: 11

wrongcode.trace.js-v1conf 100% · 232ms · $0.000 · 324 tok

question

What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16];
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: 301

wrongcode.trace.nested-v1conf 100% · 696ms · $0.000 · 1985 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) % 3 == 0:
            continue
        total += i * 2 + j
print(total)
```

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

model answer: 43

correctcode.trace.python-v1conf 100% · 243ms · $0.000 · 1055 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 5
while total + v <= 76:
    if v % 7 != 0:
        total += v
    v += 2
print(total)
```

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

model answer: 70

correctcode.trace.js-v1conf 100% · 230ms · $0.000 · 472 tok

question

What does this JavaScript program log?

```js
const arr = [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: 264

wrongcode.trace.python-v1conf 100% · 228ms · $0.000 · 612 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 1
while total + v <= 97:
    if v % 5 != 0:
        total += v
    v += 5
print(total)
```

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

model answer: 112

wrongcode.trace.nested-v1conf 100% · 362ms · $0.000 · 973 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 200

correctcode.trace.js-v1conf 100% · 246ms · $0.000 · 281 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 * 5)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 135

wrongcode.trace.python-v1conf 100% · 215ms · $0.000 · 715 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 6
while total + v <= 90:
    if v % 4 != 0:
        total += v
    v += 6
print(total)
```

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

model answer: 90

wrongcode.trace.nested-v1conf 100% · 229ms · $0.000 · 1302 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 192

correctcode.trace.js-v1conf 100% · 236ms · $0.000 · 313 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, 13];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 135

wrongcode.trace.python-v1conf 100% · 367ms · $0.000 · 390 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 8
while total + v <= 59:
    if v % 3 != 0:
        total += v
    v += 5
print(total)
```

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

model answer: 21

wrongcode.trace.nested-v1conf 100% · 234ms · $0.000 · 1468 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 66

correctcode.trace.python-v1anchorconf 100% · 230ms · $0.000 · 1857 tok

model answer: 0

wrongcode.trace.js-v1conf 100% · 280ms · $0.000 · 326 tok

question

What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12];
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: 144

wrongcode.trace.nested-v1anchorconf 100% · 308ms · $0.000 · 1217 tok

model answer: 472

correctcode.trace.js-v1anchorconf 100% · 261ms · $0.000 · 207 tok

model answer: 63

correctcode.trace.python-v1anchorconf 100% · 227ms · $0.000 · 393 tok

model answer: 40

instruction following 10/30 correct

truncatedif.constraints.stack-v1conf — · 253ms · $0.000 · 2048 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "falcon" and the last word must be "tundra".
3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: (none extracted)

wrongif.constraints.stack-v1conf 100% · 622ms · $0.000 · 35 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "drift" and the last word must be "lumen".
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: <your final answer only>

wrongif.format.acronym-v1conf — · 418ms · $0.000 · 17 tok

question

Take the first letter of each of these words, in order: flint, drift, cedar, lumen, 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: (none extracted)

correctif.format.repeat-v1conf 100% · 255ms · $0.000 · 36 tok

question

Write the word "orbit" 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: orbit/orbit/orbit/orbit/orbit/orbit

wrongif.format.acronym-v1conf 100% · 444ms · $0.000 · 118 tok

question

Take the third letter of each of these words, in order: cedar, zephyr, delta, echo, drift. 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: DELCR

correctif.format.repeat-v1conf 100% · 446ms · $0.000 · 30 tok

question

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

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

model answer: FLINT_FLINT_FLINT_FLINT

wrongif.constraints.stack-v1conf 100% · 239ms · $0.000 · 68 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "zephyr" and the last word must be "prism".
3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer:

zephyr whispers through the quartz, guiding the traveler along the ancient path, where the prism catches the light, revealing the world anew.

correctif.format.repeat-v1conf 100% · 1.6s · $0.000 · 32 tok

question

Write the word "delta" 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: delta/delta/delta/delta/delta

wrongif.format.acronym-v1conf — · 358ms · $0.000 · 5 tok

question

Take the first letter of each of these words, in order: tundra, lumen, orbit, basalt, echo, 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: (none extracted)

wrongif.constraints.stack-v1conf — · 512ms · $0.000 · 18 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "zephyr" and the last word must be "drift".
3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 242ms · $0.000 · 46 tok

question

Write the word "tundra" 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: tundra-tundra-tundra-tundra-tundra-tundra-tundra-tundra

wrongif.format.acronym-v1conf 100% · 229ms · $0.000 · 23 tok

question

Take the first letter of each of these words, in order: comet, tundra, ember, cedar, 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: CETTEDLUM

wrongif.format.acronym-v1conf 100% · 712ms · $0.000 · 139 tok

question

Take the third letter of each of these words, in order: ember, zephyr, lumen, falcon, prism, drift. 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: BECURRR

wrongif.constraints.stack-v1conf — · 712ms · $0.000 · 22 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "tundra" and the last word must be "prism".
3. Use the word "basalt" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 443ms · $0.000 · 61 tok

question

Write the word "basalt" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

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

model answer: BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT

wrongif.format.acronym-v1conf 100% · 1.3s · $0.000 · 25 tok

question

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

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

model answer: LZEDRNA

wrongif.constraints.stack-v1conf 100% · 281ms · $0.000 · 32 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "cedar" and the last word must be "prism".
3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: <your final answer only>

correctif.format.repeat-v1conf 100% · 224ms · $0.000 · 45 tok

question

Write the word "ember" in uppercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

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

model answer: EMBER-EMBER-EMBER-EMBER-EMBER-EMBER-EMBER-EMBER

wrongif.constraints.stack-v1conf 100% · 475ms · $0.000 · 54 tok

question

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

Give the text itself as your answer.

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

model answer: falcon soars over city at night, flint glints in moonlight, tundra below

wrongif.format.acronym-v1conf — · 267ms · $0.000 · 101 tok

question

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

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

model answer: (none extracted)

correctif.format.repeat-v1conf 100% · 280ms · $0.000 · 50 tok

question

Write the word "flint" in lowercase form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer.

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

model answer: flint/flint/flint/flint/flint/flint/flint/flint/flint

wrongif.constraints.stack-v1conf — · 1.1s · $0.000 · 20 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "falcon" and the last word must be "basalt".
3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: (none extracted)

wrongif.format.acronym-v1conf 100% · 238ms · $0.000 · 42 tok

question

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

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

model answer: FLPETD

correctif.format.repeat-v1conf 100% · 234ms · $0.000 · 60 tok

question

Write the word "drift" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

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

model answer: Drift/Drift/Drift/Drift/Drift/Drift/Drift/Drift

wrongif.format.acronym-v1conf — · 238ms · $0.000 · 105 tok

question

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

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

model answer: (none extracted)

wrongif.constraints.stack-v1conf — · 251ms · $0.000 · 26 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "nova" and the last word must be "echo".
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: (none extracted)

correctif.format.repeat-v1anchorconf 100% · 245ms · $0.000 · 46 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

wrongif.constraints.stack-v1anchorconf 100% · 248ms · $0.000 · 129 tok

model answer:

drift through the city's neon glow, lumen lights reflecting off glass, creating a dazzling display. the air is filled with the hum of engines and the chatter of people, a vibrant symphony of urban life. the city never sleeps, its energy and excitement orbiting around the clock.

correctif.format.repeat-v1anchorconf 100% · 252ms · $0.000 · 62 tok

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

wrongif.format.acronym-v1anchorconf — · 261ms · $0.000 · 4 tok

model answer: (none extracted)

knowledge 30/30 correct

correctknowledge.fr.factbank-v2conf 100% · 437ms · $0.000 · 15 tok

question

What is the capital of Nigeria?

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 457ms · $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: Potassium

correctknowledge.fr.factbank-v2conf 100% · 515ms · $0.000 · 14 tok

question

What is the capital of Canada?

Answer with the name only — no explanation.

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

model answer: Ottawa

correctknowledge.fr.factbank-v2conf 100% · 211ms · $0.000 · 14 tok

question

What is the element whose symbol is Sn?

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 210ms · $0.000 · 15 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: Brasília

correctknowledge.fr.factbank-v2conf 100% · 232ms · $0.000 · 14 tok

question

Identify the Swiss capital (de facto).

Answer with the name only — no explanation.

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

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 215ms · $0.000 · 14 tok

question

Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

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

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 223ms · $0.000 · 15 tok

question

What is the element whose symbol is W?

Answer with the name only — no explanation.

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

model answer: tungsten

correctknowledge.fr.factbank-v2conf 100% · 224ms · $0.000 · 14 tok

question

Name the capital of Switzerland.

Answer with the name only — no explanation.

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

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 210ms · $0.000 · 15 tok

question

What is the capital of Nigeria?

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 219ms · $0.000 · 15 tok

question

Name the element whose symbol is W.

Answer with the name only — no explanation.

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

model answer: tungsten

correctknowledge.fr.factbank-v2conf 100% · 226ms · $0.000 · 14 tok

question

Identify the capital of Turkey.

Answer with the name only — no explanation.

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

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 216ms · $0.000 · 15 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: Abuja

correctknowledge.fr.factbank-v2conf 100% · 207ms · $0.000 · 14 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: Tin

correctknowledge.fr.factbank-v2conf 100% · 214ms · $0.000 · 15 tok

question

Identify 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: Potassium

correctknowledge.fr.factbank-v2conf 100% · 232ms · $0.000 · 17 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: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 210ms · $0.000 · 14 tok

question

What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

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

model answer: Mercury

correctknowledge.fr.factbank-v2conf 100% · 209ms · $0.000 · 15 tok

question

Name the Nigerian capital city.

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 217ms · $0.000 · 14 tok

question

What is the capital of Turkey?

Answer with the name only — no explanation.

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

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 220ms · $0.000 · 14 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: Lead

correctknowledge.fr.factbank-v2conf 100% · 220ms · $0.000 · 18 tok

question

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

Answer with the name only — no explanation.

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

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 226ms · $0.000 · 14 tok

question

Identify the element whose symbol is Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 223ms · $0.000 · 14 tok

question

Name the element whose symbol is Pb.

Answer with the name only — no explanation.

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

model answer: Lead

correctknowledge.fr.factbank-v2conf 100% · 224ms · $0.000 · 17 tok

question

Identify the Burmese capital city.

Answer with the name only — no explanation.

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

model answer: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 229ms · $0.000 · 15 tok

question

What is 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: Astana

correctknowledge.fr.factbank-v2conf 100% · 223ms · $0.000 · 15 tok

question

Name the element whose symbol is W.

Answer with the name only — no explanation.

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

model answer: tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 231ms · $0.000 · 14 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 217ms · $0.000 · 15 tok

model answer: tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 231ms · $0.000 · 15 tok

model answer: Antimony

correctknowledge.fr.factbank-v2anchorconf 100% · 223ms · $0.000 · 14 tok

model answer: Lead

math 16/30 correct

wrongmath.chained.pipeline-v1conf 100% · 240ms · $0.000 · 447 tok

question

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

Step 1: P = 75 × 14.
Step 2: Q = P × 8 − 668.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 1090 + 102=1192

wrongmath.counterfactual.base-v1conf 100% · 254ms · $0.000 · 313 tok

question

Work strictly in base 11. Add the base-11 numbers 2008 and 2099. 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: 4307

wrongmath.percent.chain-v2conf 100% · 222ms · $0.000 · 268 tok

question

An inventory starts at 95000 units. The warehouse was painted 23 years ago. In the first month the inventory grows by 25%. A rival firm shipped 154 unrelated parcels the same week. The next month it shrinks by 45%, and the month after it grows by 12%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 73170.00

correctmath.algebra.system-v2conf 100% · 225ms · $0.000 · 481 tok

question

Solve the system, then answer the derived question.

5x + 6y = -219
8x − 9y = -90

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: -107

correctmath.arith.chain-v2conf 100% · 242ms · $0.000 · 339 tok

question

Evaluate the expression below and give the result.

(((75 × 38 − 986) × 4 + 7120) − 89 × 27) × 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: 48692

correctmath.chained.pipeline-v1conf 100% · 269ms · $0.000 · 362 tok

question

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

Step 1: P = 26 × 14.
Step 2: Q = P × 8 − 509.
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: 483

correctmath.counterfactual.base-v1conf 100% · 227ms · $0.000 · 318 tok

question

Work strictly in base 11. Multiply the base-11 numbers 47 and 11. 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: 507

wrongmath.percent.chain-v2conf 100% · 225ms · $0.000 · 278 tok

question

An inventory starts at 38000 units. A rival firm shipped 15 unrelated parcels the same week. In the first month the inventory grows by 11%. Each pallet weighs about 23 grams more when wet. The next month it shrinks by 9%, and the month after it grows by 18%. 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: 44999.99

correctmath.algebra.system-v2conf 100% · 226ms · $0.000 · 358 tok

question

Solve the system, then answer the derived question.

3x + 4y = -21
9x − 8y = 237

What is the value of 4x − 5y?

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

model answer: 127

correctmath.arith.chain-v2conf 100% · 228ms · $0.000 · 318 tok

question

Compute the value of the following expression.

(((50 × 81 − 259) × 6 + 2841) − 96 × 59) × 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: 79692

correctmath.chained.pipeline-v1conf 100% · 923ms · $0.000 · 627 tok

question

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

Step 1: P = 63 × 58.
Step 2: Q = P × 7 − 242.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 3622

correctmath.counterfactual.base-v1conf 100% · 238ms · $0.000 · 795 tok

question

Work strictly in base 13. Add the base-13 numbers 11B7 and A89. Give the result IN BASE 13 (digits beyond 9 are A, B, C).

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

model answer: 1C73

wrongmath.percent.chain-v2conf 100% · 223ms · $0.000 · 401 tok

question

An inventory starts at 61000 units. The warehouse was painted 47 years ago. In the first month the inventory grows by 28%. The company was founded 151 kilometers from the port. The next month it shrinks by 12%, and the month after it grows by 15%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 78831.84

correctmath.algebra.system-v2conf 100% · 419ms · $0.000 · 397 tok

question

Solve the system, then answer the derived question.

4x + 6y = -232
2x − 2y = -46

What is the value of 4x − 6y?

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

model answer: -64

correctmath.arith.chain-v2conf 100% · 222ms · $0.000 · 354 tok

question

Work out the exact value of this expression.

(((94 × 82 − 607) × 6 + 4496) − 86 × 99) × 3

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

model answer: 115764

correctmath.chained.pipeline-v1conf 100% · 218ms · $0.000 · 477 tok

question

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

Step 1: P = 22 × 35.
Step 2: Q = P × 9 − 301.
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: 1329

correctmath.counterfactual.base-v1conf 100% · 222ms · $0.000 · 606 tok

question

Work strictly in base 11. Multiply the base-11 numbers 62 and 76. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

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

model answer: 4271

wrongmath.percent.chain-v2conf 100% · 304ms · $0.000 · 425 tok

question

An inventory starts at 80000 units. The delivery van has a 60-liter fuel tank. In the first month the inventory grows by 41%. The company was founded 162 kilometers from the port. The next month it shrinks by 6%, and the month after it grows by 22%. 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: 129984.44

correctmath.algebra.system-v2conf 100% · 217ms · $0.000 · 469 tok

question

Solve the system, then answer the derived question.

8x + 9y = 270
5x − 6y = -273

What is the value of 3x − 3y?

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

model answer: -141

correctmath.arith.chain-v2conf 100% · 222ms · $0.000 · 311 tok

question

Calculate the following. Show your reasoning, then answer.

(((49 × 88 − 243) × 6 + 5372) − 61 × 81) × 3

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

model answer: 74535

wrongmath.chained.pipeline-v1conf 100% · 603ms · $0.000 · 465 tok

question

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

Step 1: P = 18 × 68.
Step 2: Q = P × 6 − 249.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 886 + 7=893

wrongmath.counterfactual.base-v1conf 100% · 331ms · $0.000 · 548 tok

question

Work strictly in base 13. Add the base-13 numbers 1310 and 419. Give the result IN BASE 13 (digits beyond 9 are A, B, C).

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

model answer: 736

wrongmath.percent.chain-v2conf 100% · 396ms · $0.000 · 292 tok

question

An inventory starts at 21000 units. Each pallet weighs about 13 grams more when wet. In the first month the inventory grows by 29%. The warehouse was painted 163 years ago. The next month it shrinks by 11%, and the month after it grows by 42%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 34380.08

correctmath.algebra.system-v2conf 100% · 214ms · $0.000 · 374 tok

question

Solve the system, then answer the derived question.

4x + 4y = 72
5x − 8y = -79

What is the value of 4x − 6y?

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

model answer: -58

wrongmath.arith.chain-v2conf 100% · 300ms · $0.000 · 363 tok

question

Compute the value of the following expression.

(((43 × 41 − 738) × 3 + 3497) − 98 × 47) × 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: 5800

wrongmath.chained.pipeline-v1conf 100% · 229ms · $0.000 · 478 tok

question

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

Step 1: P = 74 × 69.
Step 2: Q = P × 9 − 449.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 5696

wrongmath.counterfactual.base-v1anchorconf 100% · 235ms · $0.000 · 375 tok

model answer: 21123

wrongmath.percent.chain-v2anchorconf 100% · 222ms · $0.000 · 260 tok

model answer: 62807.50

wrongmath.arith.chain-v2anchorconf 100% · 365ms · $0.000 · 386 tok

model answer: 110253

correctmath.algebra.system-v2anchorconf 100% · 349ms · $0.000 · 367 tok

model answer: 87

multilingual 26/30 correct

correctmultilingual.wordnum-v1conf — · 622ms · $0.000 · 203 tok

question

A number is written in French: « neuf cent quarante et un ». Another is written in Spanish: « ciento noventa y siete ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 744

correctmultilingual.wordnum-v1conf — · 259ms · $0.000 · 207 tok

question

A number is written in French: « neuf cent soixante-six ». Another is written in Spanish: « quinientos noventa y siete ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 369

correctmultilingual.numword-v2conf 100% · 476ms · $0.000 · 30 tok

question

Compute 73 + 135, 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 huit

correctmultilingual.wordnum-v1conf — · 369ms · $0.000 · 215 tok

question

A number is written in French: « cinq cent quatorze ». Another is written in Spanish: « ochocientos cuarenta y seis ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: -332

correctmultilingual.numword-v2conf 100% · 366ms · $0.000 · 32 tok

question

Compute 383 + 331, 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 quatorze

correctmultilingual.numword-v2conf — · 597ms · $0.000 · 70 tok

question

Compute 182 + 460, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: six cent quarante - deux

correctmultilingual.wordnum-v1conf — · 265ms · $0.000 · 226 tok

question

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

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

model answer: -439

correctmultilingual.numword-v2conf 100% · 229ms · $0.000 · 34 tok

question

Compute 375 + 191, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: quinientos sesenta y seis

correctmultilingual.wordnum-v1conf — · 367ms · $0.000 · 184 tok

question

A number is written in French: « cinq cent trente-neuf ». Another is written in Spanish: « 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: 578

correctmultilingual.wordnum-v1conf — · 393ms · $0.000 · 222 tok

question

A number is written in French: « six cent quatre-vingt-quinze ». Another is written in Spanish: « setecientos treinta y tres ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: -38

correctmultilingual.numword-v2conf 100% · 712ms · $0.000 · 35 tok

question

Compute 264 + 179, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: cuatrocientos cuarenta y tres

correctmultilingual.wordnum-v1conf — · 435ms · $0.000 · 222 tok

question

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

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

model answer: 1874

wrongmultilingual.numword-v2conf 100% · 283ms · $0.000 · 34 tok

question

Compute 321 + 389, 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: seven hundred ten

correctmultilingual.wordnum-v1conf 100% · 387ms · $0.000 · 204 tok

question

A number is written in French: « deux cent quarante-huit ». Another is written in Spanish: « doscientos setenta 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: 519

wrongmultilingual.numword-v2conf 100% · 240ms · $0.000 · 31 tok

question

Compute 478 + 225, 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 tres

correctmultilingual.wordnum-v1conf — · 245ms · $0.000 · 181 tok

question

A number is written in French: « cent vingt-huit ». Another is written in Spanish: « cuarenta y siete ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 81

correctmultilingual.numword-v2conf 100% · 268ms · $0.000 · 33 tok

question

Compute 326 + 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 soixante-six

correctmultilingual.numword-v2conf 100% · 242ms · $0.000 · 182 tok

question

Compute 437 + 295, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: sept cent trente - deux

correctmultilingual.wordnum-v1conf — · 236ms · $0.000 · 185 tok

question

A number is written in French: « sept cent vingt-six ». Another is written in Spanish: « noventa y cinco ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 631

correctmultilingual.wordnum-v1conf — · 234ms · $0.000 · 222 tok

question

A number is written in French: « six cent quarante-cinq ». Another is written in Spanish: « setecientos cuarenta 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: -96

correctmultilingual.numword-v2conf — · 248ms · $0.000 · 159 tok

question

Compute 162 + 67, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: doscientos veintinueve

correctmultilingual.wordnum-v1conf — · 221ms · $0.000 · 203 tok

question

A number is written in French: « quatre cent cinquante et un ». Another is written in Spanish: « ochocientos catorce ». 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: -363

correctmultilingual.numword-v2conf 100% · 236ms · $0.000 · 34 tok

question

Compute 322 + 329, 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 cinquante et un

correctmultilingual.wordnum-v1conf — · 253ms · $0.000 · 201 tok

question

A number is written in French: « neuf cent quatorze ». Another is written in Spanish: « novecientos 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: 1905

correctmultilingual.numword-v2conf 100% · 230ms · $0.000 · 30 tok

question

Compute 248 + 57, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: trescientos cinco

wrongmultilingual.wordnum-v1anchorconf — · 225ms · $0.000 · 239 tok

model answer: 250

correctmultilingual.numword-v2conf 100% · 220ms · $0.000 · 34 tok

question

Compute 496 + 82, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: quinientos setenta y ocho

correctmultilingual.wordnum-v1anchorconf — · 219ms · $0.000 · 206 tok

model answer: 762

wrongmultilingual.numword-v2anchorconf 100% · 249ms · $0.000 · 36 tok

model answer: quatre cent soixante-dix-neuf

correctmultilingual.numword-v2anchorconf 100% · 225ms · $0.000 · 32 tok

model answer: seiscientos ocho

reasoning 9/30 correct

truncatedreasoning.deduction.order-v2conf — · 221ms · $0.000 · 2048 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Hana is heavier than Alice. Kira is taller than everyone here, but Kira is not being ranked. Rosa is heavier than Ola. Alice is heavier than Sami. Jonas is heavier than Rosa. Jonas is heavier than Hana. Hana is heavier than Rosa. Goran is heavier than Sami. Ola is heavier than Alice. Goran is heavier than Jonas. 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: (none extracted)

wrongreasoning.deduction.position-v1conf 100% · 478ms · $0.000 · 160 tok

question

Four people stand in a queue (number 1 is the front). Emil is directly ahead of Alice. Alice is number 2 in the queue. Bruno is directly ahead of Nadir. Who is number 2?

Answer with the name only.

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

model answer: Emil

correctreasoning.deduction.order-v2conf — · 227ms · $0.000 · 338 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Jonas is faster than Tessa. Kira is faster than Bruno. Bruno is faster than Jonas. Tessa is faster than Priya. Kira is faster than Nadir. Alice is faster than Kira. Jonas is faster than Priya. Farah is heavier than everyone here, but Farah is not being ranked. Priya is faster than Nadir. Jonas is faster than Nadir. Who is third (rank 3)?

Answer with the name only.

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

model answer: Bruno

wrongreasoning.deduction.position-v1conf — · 216ms · $0.000 · 122 tok

question

Four people stand in a queue (number 1 is the front). Priya is number 2 in the queue. Ola is directly ahead of Goran. Sami is directly ahead of Priya. 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: Ola

wrongreasoning.deduction.order-v2conf 100% · 229ms · $0.000 · 329 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Alice. Kira is heavier than Jonas. Goran is heavier than Priya. Kira is heavier than Priya. Alice is heavier than Priya. Kira is heavier than Priya. Rosa is heavier than Kira. Bruno is heavier than Goran. Alice is heavier than Bruno. Nadir is taller than everyone here, but Nadir is not being ranked. 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: Goran

correctreasoning.deduction.position-v1conf — · 349ms · $0.000 · 101 tok

question

Four people stand in a queue (number 1 is the front). Jonas is number 2 in the queue. Bruno is directly ahead of Farah. Mona is directly ahead of Jonas. 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: Mona

wrongreasoning.deduction.order-v2conf 100% · 262ms · $0.000 · 496 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Ola is older than Kira. Nadir is older than Emil. Dara is taller than everyone here, but Dara is not being ranked. Chen is older than Jonas. Ola is older than Emil. Priya is older than Ola. Nadir is older than Chen. Chen is older than Ola. Emil is older than Kira. Jonas is older 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: Nadir

correctreasoning.deduction.position-v1conf — · 475ms · $0.000 · 84 tok

question

Four people stand in a queue (number 1 is the front). Farah is number 3 in the queue. Goran is directly ahead of Alice. Alice is directly ahead of Farah. Who is number 2?

Answer with the name only.

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

model answer: Alice

wrongreasoning.deduction.order-v2conf 100% · 220ms · $0.000 · 212 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Mona is older than Sami. Sami is older than Farah. Sami is older than Quinn. Mona is older than Alice. Kira is older than Mona. Quinn is older than Ines. Ines is older than Alice. Kira is older than Sami. Alice is older than Farah. Liam is heavier than everyone here, but Liam is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

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

model answer: Farah

correctreasoning.deduction.position-v1conf 100% · 214ms · $0.000 · 154 tok

question

Four people stand in a queue (number 1 is the front). Chen is number 2 in the queue. Tessa is directly ahead of Quinn. Farah is directly ahead of Chen. 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: Tessa

wrongreasoning.deduction.order-v2conf — · 223ms · $0.000 · 157 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Rosa. Chen is older than Rosa. Chen is older than Alice. Alice is older than Rosa. Hana is faster than everyone here, but Hana is not being ranked. Liam is older than Sami. Chen is older than Rosa. Quinn is older than Dara. Dara is older than Liam. Sami is older than Chen. 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: Liam

correctreasoning.deduction.position-v1conf 100% · 236ms · $0.000 · 14 tok

question

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

Answer with the name only.

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

model answer: Jonas

wrongreasoning.deduction.order-v2conf 100% · 338ms · $0.000 · 228 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Mona is heavier than Alice. Bruno is heavier than Nadir. Nadir is heavier than Emil. Nadir is heavier than Ines. Alice is heavier than Emil. Tessa is heavier than Bruno. Mona is heavier than Emil. Ines is heavier than Alice. Mona is heavier than Tessa. Quinn is faster than everyone here, but Quinn is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

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

model answer: Emil

wrongreasoning.deduction.position-v1conf — · 223ms · $0.000 · 3 tok

question

Four people stand in a queue (number 1 is the front). Liam is directly ahead of Mona. Goran is number 1 in the queue. Mona 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: (none extracted)

wrongreasoning.deduction.order-v2conf 100% · 225ms · $0.000 · 288 tok

question

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

wrongreasoning.deduction.position-v1conf 100% · 217ms · $0.000 · 131 tok

question

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

wrongreasoning.deduction.order-v2conf — · 229ms · $0.000 · 284 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Nadir is taller than Alice. Nadir is taller than Dara. Liam is taller than Nadir. Hana is taller than Dara. Chen is faster than everyone here, but Chen is not being ranked. Dara is taller than Farah. Liam is taller than Alice. Ola is taller than Hana. Alice is taller than Ola. Hana is taller than Farah. Who is fifth (rank 5)?

Answer with the name only.

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

model answer: Liam

wrongreasoning.deduction.position-v1conf 100% · 266ms · $0.000 · 150 tok

question

Four people stand in a queue (number 1 is the front). Sami is number 4 in the queue. Liam is directly ahead of Sami. Nadir is directly ahead of Hana. Hana is directly ahead of Liam. Who is number 3?

Answer with the name only.

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

model answer: Nadir

wrongreasoning.deduction.position-v1conf — · 234ms · $0.000 · 114 tok

question

Four people stand in a queue (number 1 is the front). Dara is directly ahead of Tessa. Tessa is directly ahead of Chen. Kira is number 1 in the queue. Who is number 3?

Answer with the name only.

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

model answer: Chen

wrongreasoning.deduction.order-v2conf — · 234ms · $0.000 · 322 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is heavier than Dara. Alice is older than everyone here, but Alice is not being ranked. Quinn is heavier than Liam. Liam is heavier than Nadir. Mona is heavier than Dara. Priya is heavier than Dara. Nadir is heavier than Mona. Sami is heavier than Liam. Quinn is heavier than Priya. Priya 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: Liam

wrongreasoning.deduction.order-v2conf 100% · 224ms · $0.000 · 290 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Ines. Priya is older than Mona. Ines is older than Chen. Chen is older than Mona. Jonas is older than Chen. Goran is heavier than everyone here, but Goran is not being ranked. Liam is older than Kira. Jonas is older than Liam. Kira is older than Mona. Chen is older than Priya. 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: Jonas

correctreasoning.deduction.position-v1conf 100% · 218ms · $0.000 · 15 tok

question

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

wrongreasoning.deduction.order-v2conf — · 413ms · $0.000 · 396 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is heavier than Hana. Chen is faster than everyone here, but Chen is not being ranked. Ola is heavier than Priya. Hana is heavier than Dara. Kira is heavier than Priya. Emil is heavier than Hana. Ola is heavier than Kira. Priya is heavier than Emil. Alice is heavier than Priya. Kira is heavier than Alice. Who is fourth (rank 4)?

Answer with the name only.

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

model answer: Emil

wrongreasoning.deduction.position-v1conf 100% · 237ms · $0.000 · 129 tok

question

Four people stand in a queue (number 1 is the front). Kira is number 3 in the queue. Jonas is directly ahead of Kira. Chen 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: Chen

wrongreasoning.deduction.order-v2conf 100% · 284ms · $0.000 · 368 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Kira. Farah is faster than Bruno. Ines is faster than Farah. Rosa is faster than Kira. Chen is faster than Rosa. Liam is older than everyone here, but Liam is not being ranked. Rosa is faster than Ola. Ola is faster than Ines. Chen is faster than Farah. Ines is faster than Bruno. 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: Kira

correctreasoning.deduction.position-v1conf — · 219ms · $0.000 · 112 tok

question

Four people stand in a queue (number 1 is the front). Ola is directly ahead of Kira. Farah is directly ahead of Ola. Kira is number 4 in the queue. Rosa is directly ahead of Farah. 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: Rosa

correctreasoning.deduction.order-v2anchorconf 100% · 223ms · $0.000 · 376 tok

model answer: Quinn

wrongreasoning.deduction.order-v2anchorconf 100% · 333ms · $0.000 · 402 tok

model answer: Jonas

wrongreasoning.deduction.position-v1anchorconf 100% · 721ms · $0.000 · 185 tok

model answer: Goran

correctreasoning.deduction.position-v1anchorconf 100% · 229ms · $0.000 · 149 tok

model answer: Farah

terminal 2/30 correct

wrongterminal.exit.chain-v1conf 100% · 1.2s · $0.000 · 23 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
C
G
exit:0

wrongterminal.exit.chain-v1conf 100% · 224ms · $0.000 · 25 tok

question

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

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

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

These statements run in order:

```sh
grep -q coral notes.txt && echo A || echo B
true && echo C || echo D
true && 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:

A
C
E
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 231ms · $0.000 · 44 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/assets`, `/proj/build`):

```
/proj/assets/index.cfg
/proj/assets/setup.md
/proj/build/todo.md
/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
rm assets/index.cfg
mv assets/setup.md assets/draft-2.log
mkdir -p docs-1
rm build/todo.md
cd assets
mv ../../proj/util.log ../../proj/index-7.cfg
touch ../../proj/build/main-8.cfg
cd ../../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/assets/draft-2.log
/proj/assets/index-7.cfg
/proj/build/main-8.cfg
/proj/conf/util.log

wrongterminal.pipeline.predict-v1conf 100% · 237ms · $0.000 · 45 tok

question

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

```
ivy,ops,29,26
jon,ops,36,91
bo,sales,20,73
oli,sales,44,20
dev,legal,99,33
max,eng,119,25
cy,eng,101,28
lou,sales,68,51
hal,sales,50,18
fay,legal,5,88
gus,sales,62,43
eli,legal,50,61
ana,ops,29,35
ned,legal,22,53
```

What is the EXACT stdout of this command?

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

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

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

model answer:

lou,sales,68,51
ana,ops,29,35
ivy,ops,29,26

wrongterminal.fs.tree-v1conf 100% · 222ms · $0.000 · 52 tok

question

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

```
/proj/assets/todo.txt
/proj/build/setup.txt
/proj/logs/index.txt
/proj/main.txt
/proj/report.log
```

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

```sh
cp assets/todo.txt logs/
mkdir -p assets/conf-9
mv logs/todo.txt build/
rm main.txt
cd .
cp build/todo.txt ./
mv todo.txt todo-8.log
rm logs/index.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/assets/conf-9/todo.txt
/proj/assets/todo-8.log
/proj/build/setup.txt
/proj/logs/index.txt
/proj/main.txt
/proj/report.log

wrongterminal.pipeline.predict-v1conf 100% · 227ms · $0.000 · 18 tok

question

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

```
hal,eng,45,10
bo,hr,116,51
max,sales,103,85
eli,ops,112,92
ivy,hr,66,87
kim,sales,32,93
gus,sales,65,83
dev,eng,8,65
ned,hr,87,22
pam,ops,61,21
jon,eng,26,84
oli,sales,118,67
```

What is the EXACT stdout of this command?

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

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

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

model answer: 194

correctterminal.exit.chain-v1conf 100% · 248ms · $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: basil, dune (one per line). No other files exist.

These statements run in order:

```sh
test -f tmp.txt && echo A || echo B
test -f ghost.txt && echo C || echo D
false && 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:0

wrongterminal.fs.tree-v1conf 100% · 224ms · $0.000 · 36 tok

question

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

```
/proj/conf/draft.log
/proj/conf/notes.md
/proj/conf/report.log
/proj/main.cfg
/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 conf/draft.log conf/notes-6.log
rm conf/notes-6.log
cd .
touch todo-9.log
rm conf/notes.md
touch assets/index-6.log
mv assets/index-6.log ./
cd assets
rm ../../proj/todo.md
cd ../../proj/src
rm ../../proj/main.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/conf/draft.log
/proj/conf/report.log
/proj/main.cfg
/proj/todo.md

wrongterminal.pipeline.predict-v1conf 100% · 221ms · $0.000 · 18 tok

question

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

```
oli,eng,100,27
dev,hr,52,89
ivy,eng,106,29
cy,legal,61,76
fay,hr,3,87
ana,sales,26,26
eli,eng,117,57
lou,eng,114,40
max,hr,105,76
jon,eng,82,74
ned,ops,109,97
bo,eng,53,48
```

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: 194

wrongterminal.exit.chain-v1conf 100% · 227ms · $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: dune, coral (one per line). No other files exist.

These statements run in order:

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

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

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

model answer:

B
C
F
G
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 227ms · $0.000 · 31 tok

question

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

```
/proj/assets/main.txt
/proj/logs/index.md
/proj/logs/setup.cfg
/proj/report.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
mkdir -p build/assets-3
mv logs/setup.cfg logs/todo-1.log
rm assets/main.txt
cd .
mv logs/todo-1.log build/
rm report.md
cd build/assets-3
mv ../../../proj/logs/index.md ./
```

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

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

model answer:

/proj/build/assets-3/index.md
/proj/build/assets-3/util.cfg

wrongterminal.pipeline.predict-v1conf 100% · 220ms · $0.000 · 35 tok

question

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

```
ned,hr,93,39
fay,sales,19,68
pam,sales,9,57
ana,legal,73,33
dev,legal,104,65
eli,hr,38,43
jon,eng,114,74
gus,eng,101,93
max,ops,64,14
kim,legal,71,55
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 2
```

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

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

model answer:

dev,hr,104,65
eli,hr,38,43

wrongterminal.exit.chain-v1conf 100% · 254ms · $0.000 · 23 tok

question

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

```
notes.txt
```

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

These statements run in order:

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

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

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

model answer:

B
D
F
exit:0

wrongterminal.fs.tree-v1conf 100% · 232ms · $0.000 · 31 tok

question

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

```
/proj/conf/notes.log
/proj/index.md
/proj/report.md
/proj/src/main.cfg
/proj/src/util.cfg
```

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

```sh
rm index.md
mv report.md ./
cd .
mkdir -p conf/docs-2
mv conf/notes.log conf/
touch todo-7.md
cd .
mkdir -p conf/docs-2/logs-5
mkdir -p conf/src-6
cd conf/docs-2/logs-5
touch ../../../../proj/conf/src-6/util-5.log
cd ../../../../proj/conf/src-6
```

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/src-6/main.cfg
/proj/conf/src-6/util.cfg

wrongterminal.fs.tree-v1conf 100% · 1.4s · $0.000 · 45 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/src`, `/proj/logs`):

```
/proj/docs/notes.md
/proj/docs/report.cfg
/proj/draft.cfg
/proj/index.log
/proj/logs/main.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
cp index.log src/
mv index.log ./
rm docs/report.cfg
mv logs/main.txt logs/index-8.txt
cp index.log docs/
cd src
mv ../../proj/docs/index.log ../../proj/logs/
rm ../../proj/draft.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/docs/index.log
/proj/docs/notes.md
/proj/draft.cfg
/proj/index.log
/proj/logs/index-8.txt

wrongterminal.exit.chain-v1conf 100% · 483ms · $0.000 · 25 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
D
F
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 283ms · $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):

```
pam,hr,25,94
bo,hr,87,16
dev,hr,12,21
fay,ops,36,41
jon,hr,3,61
hal,legal,51,44
gus,eng,111,96
ana,hr,86,21
ned,sales,96,29
ivy,hr,36,88
kim,sales,8,41
cy,hr,98,51
oli,ops,6,26
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 76 { 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: 0

wrongterminal.fs.tree-v1conf 100% · 218ms · $0.000 · 37 tok

question

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

```
/proj/build/report.cfg
/proj/conf/setup.txt
/proj/docs/draft.cfg
/proj/main.cfg
/proj/notes.md
```

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

```sh
mkdir -p assets-4
cd .
touch docs/index-5.log
mkdir -p conf/assets-6
cd assets-4
rm ../../proj/conf/setup.txt
mkdir -p assets-2
```

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

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

model answer:

/proj/build/report.cfg
/proj/docs/draft.cfg
/proj/main.cfg
/proj/notes.md

wrongterminal.pipeline.predict-v1conf 100% · 223ms · $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):

```
hal,ops,54,56
bo,ops,70,49
lou,sales,36,92
ned,hr,66,87
ana,legal,108,58
dev,sales,63,21
kim,ops,99,78
oli,sales,55,73
pam,sales,111,72
jon,eng,60,91
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 43 { 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: 7

correctterminal.exit.chain-v1conf 100% · 223ms · $0.000 · 25 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
D
F
Z
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 227ms · $0.000 · 18 tok

question

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

```
dev,sales,42,73
ivy,hr,107,62
gus,ops,12,97
hal,ops,51,69
eli,eng,39,84
pam,sales,3,19
lou,sales,68,59
max,hr,33,86
jon,legal,25,73
cy,legal,3,22
fay,sales,106,39
ana,eng,78,11
kim,hr,5,61
```

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: 165

wrongterminal.exit.chain-v1conf 100% · 232ms · $0.000 · 25 tok

question

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

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

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

These statements run in order:

```sh
grep -q amber notes.txt && echo A || echo B
true && echo C || echo D
test -f tmp.txt && echo E || echo F
test -f data.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
G
H
exit:0

wrongterminal.fs.tree-v1conf 100% · 222ms · $0.000 · 44 tok

question

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

```
/proj/build/index.cfg
/proj/conf/notes.cfg
/proj/docs/main.cfg
/proj/todo.cfg
/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
mv todo.cfg ./
cd build
rm ../../proj/util.cfg
mkdir -p ../../proj/src-9
cd ../../proj/docs
mv ../../proj/todo.cfg ../../proj/util-4.cfg
cp ../../proj/build/index.cfg ../../proj/conf/
cp ../../proj/build/index.cfg ../../proj/conf/
cp ../../proj/conf/notes.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/build/index.cfg
/proj/conf/notes.cfg
/proj/conf/index.cfg
/proj/docs/main.cfg
/proj/src-9

wrongterminal.pipeline.predict-v1conf 100% · 301ms · $0.000 · 29 tok

question

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

```
ana,ops,9,73
lou,eng,101,64
dev,legal,85,68
oli,eng,83,64
fay,legal,117,20
hal,sales,70,84
ned,ops,16,69
eli,eng,76,76
pam,legal,48,83
```

What is the EXACT stdout of this command?

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

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

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

model answer:

ana,70
dev,85
eli,76

wrongterminal.exit.chain-v1conf 100% · 491ms · $0.000 · 23 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
C
Z
exit:0

wrongterminal.fs.tree-v1conf 100% · 246ms · $0.000 · 69 tok

question

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

```
/proj/build/main.log
/proj/conf/draft.cfg
/proj/conf/notes.cfg
/proj/index.md
/proj/setup.cfg
```

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

```sh
cp index.md logs/
cp conf/draft.cfg logs/
cp logs/draft.cfg build/
cd conf
mv ../../proj/logs/index.md ../../proj/build/
cd .
touch ../../proj/logs/notes-9.cfg
cd .
touch ../../proj/logs/report-4.md
```

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

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

model answer:

/proj/build/main.log
/proj/build/index.md
/proj/build/notes-9.cfg
/proj/build/report-4.md
/proj/conf/draft.cfg
/proj/conf/notes.cfg
/proj/conf/setup.cfg
/proj/logs/draft.cfg

wrongterminal.pipeline.predict-v1anchorconf 100% · 227ms · $0.000 · 45 tok

model answer:

dev,eng,81,95
eli,eng,60,55
cy,eng,115,45

wrongterminal.exit.chain-v1anchorconf 100% · 233ms · $0.000 · 29 tok

model answer:

A
D
F
G
H
Z
exit:0

wrongterminal.fs.tree-v1anchorconf 100% · 289ms · $0.000 · 65 tok

model answer:

/proj/build/logs-1
/proj/build-4
/proj/build/setup-8.md
/proj/build-4/todo-4.md
/proj/build/logs-8
/proj/build/setup.log
/proj/docs/report-8.cfg

wrongterminal.pipeline.predict-v1anchorconf 100% · 263ms · $0.000 · 16 tok

model answer: 5

vision ocr 29/30 correct

correctvision.ocr.table-read-v1conf 100% · 503ms · $0.000 · 19 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: 45

correctvision.ocr.code-hunt-v1conf 100% · 589ms · $0.000 · 17 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

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

model answer: T9UYCY

correctvision.ocr.table-read-v1conf 100% · 600ms · $0.000 · 19 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: 44

correctvision.ocr.code-hunt-v1conf 100% · 599ms · $0.000 · 16 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

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

model answer: DEVMRF

correctvision.ocr.table-read-v1conf 100% · 536ms · $0.000 · 21 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: 218

correctvision.ocr.code-hunt-v1conf 100% · 621ms · $0.000 · 18 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

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

model answer: AEMC3C

correctvision.ocr.table-read-v1conf 100% · 768ms · $0.000 · 19 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: 76

correctvision.ocr.code-hunt-v1conf 100% · 809ms · $0.000 · 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: WUTMW9

correctvision.ocr.table-read-v1conf 100% · 602ms · $0.000 · 19 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: 84

correctvision.ocr.code-hunt-v1conf 100% · 734ms · $0.000 · 20 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: C9PUDC93

correctvision.ocr.table-read-v1conf 100% · 654ms · $0.000 · 19 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: 97

correctvision.ocr.code-hunt-v1conf 100% · 550ms · $0.000 · 18 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

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

model answer: F33TCNW

correctvision.ocr.table-read-v1conf 100% · 455ms · $0.000 · 19 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: 75

correctvision.ocr.code-hunt-v1conf 100% · 708ms · $0.000 · 19 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

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

model answer: C4AWCX9P

correctvision.ocr.table-read-v1conf 100% · 610ms · $0.000 · 19 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: 14

correctvision.ocr.code-hunt-v1conf 100% · 661ms · $0.000 · 16 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: TAUFHY

correctvision.ocr.table-read-v1conf 100% · 439ms · $0.000 · 19 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: 44

wrongvision.ocr.code-hunt-v1conf 100% · 1.0s · $0.000 · 26 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: JWW39EKF

correctvision.ocr.table-read-v1conf 100% · 896ms · $0.000 · 19 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: 61

correctvision.ocr.code-hunt-v1conf 100% · 780ms · $0.000 · 16 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: NYMTUT

correctvision.ocr.table-read-v1conf 100% · 629ms · $0.000 · 19 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: 15

correctvision.ocr.code-hunt-v1conf 100% · 899ms · $0.000 · 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: 3VVRCWN

correctvision.ocr.table-read-v1conf 100% · 691ms · $0.000 · 19 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: 65

correctvision.ocr.code-hunt-v1conf 100% · 625ms · $0.000 · 19 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: VFFA3PCU

correctvision.ocr.table-read-v1conf 100% · 640ms · $0.000 · 19 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: 94

correctvision.ocr.code-hunt-v1conf 100% · 493ms · $0.000 · 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: KHUU4E

correctvision.ocr.table-read-v1anchorconf 100% · 419ms · $0.000 · 19 tok

model answer: 15

correctvision.ocr.code-hunt-v1anchorconf 100% · 658ms · $0.000 · 19 tok

model answer: VX7993D

correctvision.ocr.code-hunt-v1anchorconf 100% · 1.3s · $0.000 · 20 tok

model answer: YH9E4AWP

correctvision.ocr.table-read-v1anchorconf 100% · 859ms · $0.000 · 19 tok

model answer: 25

Run history

2026-08-05v0.2.0index_fit416
2026-08-05v0.2.0index_fit416
2026-08-05v0.2.0index_fit418
2026-08-05v0.2.0index_fit418
2026-08-05v0.2.0index_fit418
2026-08-05v0.2.0index_fit418
2026-08-05v0.2.0index_fit418
2026-08-05v0.2.0index_fit418
2026-08-05v0.2.0index_fit417
2026-08-05v0.2.0index_fit418
2026-08-05v0.2.0index_fit408
2026-08-05v0.2.0index_fit408
2026-08-05v0.2.0index_fit408
2026-08-05v0.2.0index_fit408
2026-08-05v0.2.0index_fit408
2026-08-05v0.2.0index_fit409
2026-08-05v0.2.0index_fit409
2026-08-05v0.2.0index_fit407
2026-08-05v0.2.0index_fit407
2026-08-05v0.2.0index_fit409

BByteDance: UI-TARS 7B

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Per-domain scores

Every answer, every test

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ByteDance: UI-TARS 7B