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deepseek/deepseek-v4-flash · deepseek · context 1 048 576 · in $0.140/1M · out $0.280/1M

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688

95% CI [639736] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic602 [496709]
0.6660.800.830.231814ms$0.416
code732 [604861]
0.7000.860.930.0801.1s$0.153
instruction following507 [387627]
0.5230.780.770.2691.6s$0.107
knowledge672 [508836]
0.5230.930.970.0381.4s$0.020
math767 [616918]
0.6430.920.940.0001.5s$0.110
multilingual821 [659983]
0.7060.981.000.000556ms$0.053
reasoning786 [642929]
0.7170.920.970.0381.8s$0.125
terminal613 [510715]
0.4580.880.570.0001.6s$0.196

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 24/30 correct
wrongagentic.tools.ledger-v1conf 100% · 619ms · $0.000 · 160 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: $687
- lima: $553
- alpha: $640

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $533 from "bravo" to "alpha"
2. pay $180 from "lima" to "bravo"
3. pay $552 from "alpha" to "lima"
4. pay $385 from "alpha" to "lima"
5. pay $423 from "alpha" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 533}}, {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 180}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 552}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 385}}, {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 423}} ]
wrongagentic.tools.context-load-v1conf 100% · 152ms · $0.000 · 134 tok
question
You are an order-operations agent working strictly through tool calls.

TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)

ORDER LEDGER (192 records, format: id|customer|region|item|qty|status):
```
1983|acme|north|valve|31|held
1948|cobalt|west|gasket|78|held
2029|ember|south|rotor|88|pending
1434|ember|north|frame|72|held
1372|ionic|east|valve|86|paid
1651|fulton|east|sensor|36|paid
1665|birch|north|valve|76|paid
1829|gale|east|cable|15|shipped
1772|dorian|north|pump|34|shipped
1970|cobalt|east|panel|88|pending
1645|harbor|south|sensor|29|paid
1897|birch|south|rotor|35|shipped
1362|birch|west|gasket|54|paid
1708|birch|north|sensor|52|paid
1409|acme|north|frame|22|held
1864|ember|south|frame|58|paid
1500|birch|west|cable|14|paid
1914|fulton|south|pump|59|pending
1298|birch|south|gasket|84|pending
1847|cobalt|east|sensor|97|pending
1713|ember|west|rotor|63|shipped
1578|ionic|west|panel|71|held
1349|birch|south|rotor|53|pending
1791|gale|north|rotor|88|pending
1472|gale|south|gasket|69|shipped
1739|juno|south|pump|69|pending
1878|fulton|south|rotor|36|held
1957|acme|north|pump|61|shipped
1987|juno|east|cable|89|shipped
1966|acme|west|rotor|30|pending
1429|fulton|north|valve|33|pending
1580|fulton|south|rotor|98|pending
1733|cobalt|east|valve|81|held
1305|birch|north|gasket|13|paid
1787|ionic|north|panel|85|shipped
1755|dorian|north|sensor|47|shipped
1920|fulton|east|valve|14|shipped
1515|acme|south|cable|81|held
1737|dorian|south|pump|94|paid
1882|cobalt|east|frame|42|paid
1691|gale|north|frame|16|pending
1657|ember|east|frame|19|held
1803|juno|south|pump|81|held
2033|birch|south|valve|52|pending
1505|dorian|west|sensor|50|held
1979|cobalt|south|gasket|56|shipped
1867|juno|north|valve|10|pending
1309|birch|north|frame|81|pending
1289|birch|west|rotor|83|pending
1704|dorian|north|valve|61|paid
1355|cobalt|east|sensor|10|shipped
1852|acme|west|gasket|30|paid
1903|harbor|east|panel|65|pending
1291|birch|north|gasket|87|held
2025|acme|north|rotor|51|held
1283|birch|north|frame|27|pending
1316|birch|east|pump|21|pending
1781|gale|east|cable|58|held
1525|fulton|south|panel|55|shipped
1614|gale|east|pump|16|pending
1346|gale|east|gasket|96|shipped
1600|ionic|south|sensor|11|pending
1575|ionic|south|gasket|27|pending
1482|cobalt|east|rotor|48|pending
1446|gale|east|sensor|96|paid
1461|juno|north|sensor|60|paid
1750|cobalt|south|cable|58|held
1796|acme|south|gasket|54|held
1726|birch|south|gasket|20|paid
1941|juno|north|valve|46|held
1650|fulton|west|frame|81|held
1387|juno|west|rotor|45|pending
1968|ember|east|valve|53|paid
1529|ionic|west|frame|43|shipped
1608|gale|west|panel|70|held
1942|ionic|south|gasket|68|held
1507|ember|east|sensor|49|shipped
1568|birch|west|valve|38|paid
1690|ionic|east|sensor|58|paid
1871|gale|east|cable|48|shipped
2019|ionic|east|sensor|26|pending
1589|cobalt|north|pump|20|pending
1388|cobalt|west|rotor|80|shipped
1464|ember|north|panel|38|pending
1383|birch|north|rotor|99|held
1837|ember|west|pump|77|pending
1402|cobalt|south|frame|87|held
1542|acme|west|cable|40|shipped
1953|gale|west|pump|32|paid
1696|gale|north|rotor|53|held
1330|birch|east|cable|63|pending
1938|ember|south|panel|31|paid
1806|gale|south|sensor|96|shipped
1455|ionic|east|frame|49|held
1465|cobalt|west|cable|76|pending
1554|fulton|north|pump|24|pending
1547|gale|south|gasket|13|shipped
1341|harbor|south|frame|30|shipped
1854|cobalt|west|pump|98|pending
1994|fulton|north|sensor|71|pending
1777|birch|west|cable|26|held
1579|ionic|east|sensor|65|held
1582|birch|east|pump|57|shipped
1823|birch|west|panel|50|pending
1412|ember|east|sensor|73|paid
1810|juno|south|panel|72|held
1460|fulton|west|panel|35|paid
1859|gale|west|gasket|92|shipped
1540|fulton|west|gasket|25|paid
1715|ember|west|pump|60|paid
1640|acme|east|valve|61|paid
1671|dorian|west|panel|44|shipped
1722|acme|west|rotor|93|shipped
1740|cobalt|east|sensor|64|paid
1627|fulton|west|rotor|27|shipped
1927|ionic|north|panel|35|shipped
1503|ember|north|frame|88|pending
2034|acme|east|valve|86|pending
1662|birch|west|gasket|51|held
1334|birch|north|rotor|94|held
1766|fulton|north|sensor|45|pending
1378|juno|west|frame|57|held
1880|ember|west|cable|43|held
1514|cobalt|south|valve|14|held
1344|cobalt|north|frame|60|shipped
1817|juno|north|gasket|71|pending
1676|juno|west|frame|94|paid
1655|ionic|east|valve|19|pending
1770|juno|east|gasket|18|shipped
1887|birch|north|panel|64|held
1811|ember|west|sensor|28|paid
1476|acme|east|frame|10|pending
1422|dorian|north|rotor|58|paid
1621|gale|east|cable|83|paid
1720|juno|east|valve|41|paid
1991|ember|east|cable|77|pending
1521|dorian|south|valve|12|pending
1493|harbor|west|sensor|47|held
1724|ionic|east|pump|14|shipped
1322|birch|north|frame|26|paid
1980|ember|north|gasket|90|shipped
1399|ember|east|pump|18|pending
1934|ionic|west|panel|31|held
1406|ionic|north|frame|91|shipped
1684|dorian|east|panel|61|paid
1962|cobalt|east|sensor|63|pending
1438|cobalt|east|cable|64|shipped
1907|acme|south|cable|13|shipped
1988|gale|west|rotor|71|pending
1757|gale|east|sensor|73|paid
1533|cobalt|north|sensor|35|held
1441|harbor|south|rotor|17|pending
1596|birch|south|sensor|15|shipped
1369|dorian|south|pump|11|shipped
1875|cobalt|north|cable|72|shipped
1840|ember|north|gasket|27|held
1654|acme|west|sensor|28|held
1393|juno|north|cable|21|paid
1763|fulton|south|valve|81|held
1832|gale|west|rotor|50|held
1324|birch|north|gasket|48|pending
2008|cobalt|west|cable|22|shipped
1919|acme|north|valve|35|paid
1911|dorian|east|valve|15|paid
1561|gale|west|frame|95|shipped
1488|fulton|west|rotor|78|held
1610|ember|south|cable|26|paid
1541|acme|east|panel|25|paid
1664|fulton|east|pump|16|pending
1634|acme|west|frame|21|held
1973|acme|west|panel|32|paid
1535|acme|east|rotor|94|paid
1297|birch|north|frame|82|pending
1415|dorian|east|cable|46|shipped
1699|cobalt|south|sensor|76|pending
1782|acme|north|pump|94|pending
1893|dorian|north|pump|12|paid
2001|ionic|north|valve|32|shipped
1557|ember|south|panel|63|paid
1860|dorian|west|gasket|19|shipped
1390|gale|south|pump|35|paid
1996|acme|west|rotor|15|held
1830|harbor|south|sensor|36|pending
1471|fulton|south|panel|95|paid
1679|juno|south|valve|72|shipped
1648|acme|north|rotor|41|pending
1606|birch|south|valve|95|paid
2015|cobalt|south|frame|56|held
1745|fulton|north|gasket|10|paid
1356|fulton|north|frame|30|paid
1336|acme|west|cable|21|held
1453|acme|north|pump|11|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, 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": 1297}}, {"tool": "cancel_order", "args": {"order_id": 1309}}, {"tool": "cancel_order", "args": {"order_id": 1324}}, {"tool": "restock", "args": {"item": "rotor", "qty": 99}}, {"tool": "cancel_order", "args": {"order_id": 1383}}, {"tool": "cancel_order", "args": {"order_id": 2033}} ]
correctagentic.tools.triage-v1conf 100% · 133ms · $0.000 · 187 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:
- payments → novak
- auth → chen
- infra → okafor

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 4)
2. "invoice total wrong" (category: payments, priority 4)
3. "webhooks not delivered" (category: infra, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}} ]
correctagentic.tools.deploy-v1conf 100% · 728ms · $0.000 · 110 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: billing
- auth-svc: billing
- billing: (none)
- gateway: billing

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}} ]
correctagentic.tools.context-load-v1conf 100% · 2.1s · $0.002 · 5614 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 (292 records, format: id|customer|region|item|qty|status):
```
1948|cobalt|south|panel|94|held
1312|acme|north|sensor|19|shipped
2159|ember|north|rotor|41|paid
1417|acme|west|valve|17|held
2229|cobalt|north|valve|33|shipped
1485|acme|south|frame|71|paid
1171|juno|south|panel|72|shipped
1366|fulton|south|panel|38|pending
1822|cobalt|west|gasket|17|pending
2016|birch|east|gasket|58|pending
1498|acme|east|sensor|41|held
1418|birch|east|sensor|72|held
1134|acme|south|rotor|44|pending
1726|ionic|north|frame|98|paid
2020|cobalt|west|cable|14|paid
1854|gale|south|gasket|64|shipped
1806|ionic|west|panel|55|held
1758|ember|south|cable|33|pending
1193|ember|north|valve|96|held
1979|cobalt|south|rotor|39|held
1397|acme|south|panel|41|held
2235|birch|west|pump|66|held
1733|ionic|west|sensor|80|paid
1566|gale|east|pump|25|held
1462|ember|west|pump|97|paid
1260|birch|west|rotor|87|pending
2049|dorian|west|gasket|16|shipped
1379|dorian|north|rotor|61|shipped
2100|dorian|west|gasket|22|held
2026|cobalt|south|rotor|44|pending
1293|gale|west|cable|30|held
1153|acme|west|rotor|10|pending
1233|ember|north|gasket|37|pending
2132|juno|east|rotor|85|paid
1549|acme|north|cable|57|held
1649|ionic|east|cable|40|paid
2148|juno|north|gasket|87|paid
1468|fulton|west|pump|45|shipped
1551|juno|south|cable|89|paid
1295|birch|east|rotor|57|pending
1985|ember|north|gasket|47|pending
1690|ionic|east|pump|23|paid
1458|gale|south|valve|84|held
1517|dorian|west|rotor|67|shipped
1883|cobalt|south|valve|93|shipped
1351|ember|north|panel|69|pending
1298|ionic|south|pump|33|held
1959|cobalt|east|gasket|37|paid
1632|harbor|north|panel|74|shipped
1826|fulton|east|rotor|21|shipped
1282|cobalt|east|pump|74|shipped
1364|cobalt|north|cable|10|shipped
1920|fulton|north|panel|36|held
1808|ember|west|cable|58|shipped
2187|harbor|west|cable|19|paid
2087|gale|east|gasket|86|paid
1207|juno|north|rotor|27|pending
1973|birch|south|pump|73|held
1962|juno|south|panel|61|shipped
1245|harbor|north|cable|72|held
1725|ember|east|valve|60|shipped
2215|fulton|east|frame|77|paid
2062|harbor|east|pump|56|held
1876|juno|east|valve|68|shipped
1152|acme|west|cable|13|paid
1334|cobalt|north|rotor|85|shipped
2125|cobalt|south|pump|89|shipped
1636|ember|east|frame|29|paid
1863|cobalt|west|rotor|40|paid
1341|dorian|south|cable|27|pending
1478|cobalt|east|frame|71|shipped
1499|ionic|east|sensor|73|paid
1795|fulton|west|gasket|48|pending
1916|acme|east|pump|10|paid
2018|dorian|east|rotor|78|pending
1949|dorian|south|valve|39|shipped
1598|ember|south|pump|16|held
1288|fulton|west|frame|38|held
1890|gale|west|valve|41|paid
1420|harbor|south|rotor|18|pending
1372|ember|south|sensor|29|held
2198|harbor|south|pump|59|pending
2071|acme|west|sensor|85|shipped
1258|ionic|west|rotor|31|paid
2064|gale|west|sensor|33|pending
2195|gale|north|valve|86|paid
1271|harbor|east|sensor|18|held
2134|juno|east|cable|20|pending
2230|birch|west|sensor|80|paid
2176|harbor|south|panel|49|paid
1561|ionic|south|frame|23|pending
2140|juno|east|rotor|27|paid
1353|gale|south|sensor|48|shipped
1162|dorian|east|sensor|98|pending
1748|juno|east|pump|85|pending
1308|birch|west|panel|37|shipped
2162|ember|east|sensor|23|shipped
1139|acme|west|sensor|12|pending
1486|dorian|south|frame|73|pending
1706|juno|east|gasket|75|paid
1452|juno|west|sensor|80|shipped
1604|acme|east|rotor|10|held
1401|ionic|south|sensor|71|pending
1613|birch|south|valve|87|paid
2074|birch|north|panel|75|pending
1998|fulton|east|frame|25|pending
1827|juno|east|sensor|46|paid
1515|birch|west|panel|51|shipped
1196|birch|north|panel|83|pending
2043|dorian|west|frame|32|paid
1944|ionic|north|sensor|97|pending
2138|acme|east|pump|52|shipped
1954|ember|east|gasket|72|pending
2136|gale|east|frame|67|paid
1400|ember|west|panel|35|shipped
1508|ember|north|panel|15|shipped
1785|juno|west|frame|74|pending
1169|cobalt|south|valve|39|paid
1445|birch|east|cable|80|held
1328|harbor|north|gasket|28|shipped
2115|birch|south|pump|24|shipped
2182|acme|north|cable|55|paid
1781|harbor|east|pump|71|paid
1138|acme|west|valve|73|held
1640|birch|east|gasket|47|shipped
1434|ionic|west|cable|85|shipped
1386|juno|south|pump|93|shipped
1416|birch|west|cable|60|pending
1955|harbor|south|pump|64|shipped
2066|ember|south|sensor|48|pending
1934|harbor|east|rotor|22|shipped
1213|ionic|south|gasket|83|pending
1309|ember|east|rotor|77|shipped
2109|acme|west|valve|24|held
1912|ember|north|panel|48|shipped
2081|birch|east|valve|63|paid
1976|fulton|east|rotor|44|shipped
1539|birch|east|sensor|61|held
1523|ember|east|panel|85|held
1158|acme|north|pump|28|pending
1404|ember|north|rotor|22|held
1802|gale|south|pump|16|paid
1927|cobalt|east|frame|29|held
1895|cobalt|south|sensor|59|held
1966|ember|north|pump|93|held
1665|ionic|south|sensor|29|paid
1480|dorian|south|valve|34|held
1215|ionic|south|cable|37|held
1625|gale|west|valve|35|shipped
1877|cobalt|north|pump|35|paid
1227|dorian|north|gasket|49|shipped
1713|acme|south|rotor|71|held
1432|ionic|north|pump|12|held
1761|cobalt|west|panel|46|pending
1673|gale|west|gasket|49|held
1177|birch|south|pump|31|held
2202|ionic|north|rotor|56|pending
1623|ember|south|sensor|41|shipped
1512|dorian|south|valve|98|pending
1590|gale|north|frame|99|pending
1558|cobalt|north|frame|27|paid
1813|fulton|south|panel|52|shipped
1370|fulton|south|panel|57|pending
1409|dorian|west|sensor|66|shipped
2009|ionic|north|rotor|40|pending
1264|fulton|east|rotor|76|shipped
1769|cobalt|south|gasket|27|pending
2056|dorian|north|rotor|84|shipped
1594|fulton|west|cable|43|pending
2221|acme|west|panel|56|paid
1667|acme|north|valve|72|paid
1187|ionic|south|panel|77|shipped
1577|gale|west|cable|82|shipped
1659|ionic|east|frame|32|pending
2191|juno|west|sensor|78|pending
1811|birch|north|sensor|28|held
1607|ember|south|cable|88|pending
1491|ember|west|sensor|19|held
1280|harbor|south|frame|18|held
1891|cobalt|north|cable|61|held
1531|ember|west|cable|56|held
1921|birch|west|frame|82|held
1647|dorian|north|panel|72|shipped
1239|gale|east|panel|32|paid
2080|fulton|west|frame|88|pending
1358|dorian|south|gasket|58|pending
1834|ember|east|pump|64|pending
1252|birch|west|panel|12|shipped
1814|ionic|north|frame|25|pending
1584|juno|west|valve|10|shipped
1433|ionic|west|frame|81|held
2169|ember|north|sensor|43|shipped
1438|juno|west|panel|41|held
2041|dorian|north|sensor|45|held
2154|ionic|north|panel|22|paid
1887|juno|south|gasket|96|pending
1721|fulton|north|cable|53|shipped
1597|gale|west|valve|71|pending
1789|acme|west|frame|64|held
1348|fulton|west|gasket|16|paid
1146|acme|south|frame|89|pending
1703|dorian|south|sensor|76|paid
1619|dorian|south|rotor|16|pending
2199|ionic|north|valve|95|shipped
1820|harbor|south|valve|92|paid
1536|cobalt|east|rotor|53|paid
1504|fulton|south|cable|11|pending
1183|gale|south|gasket|94|paid
1743|harbor|south|frame|11|paid
1554|birch|north|pump|18|paid
2039|gale|south|sensor|90|pending
1285|cobalt|east|valve|80|paid
2050|birch|north|valve|62|shipped
1425|cobalt|south|panel|38|held
1902|ember|south|gasket|84|shipped
1709|birch|west|cable|87|shipped
1405|birch|north|valve|34|paid
1838|ember|west|pump|64|shipped
1751|fulton|north|valve|40|held
2027|birch|west|frame|39|paid
1571|ember|west|rotor|72|shipped
1583|ember|west|sensor|21|paid
1671|acme|south|cable|24|paid
1265|cobalt|north|frame|83|paid
1202|dorian|east|pump|24|pending
2002|birch|west|sensor|19|shipped
1291|fulton|north|panel|20|paid
1548|acme|north|sensor|59|pending
2209|dorian|south|cable|59|held
1466|gale|west|cable|67|held
1283|gale|south|frame|34|pending
1775|acme|west|panel|82|held
2145|dorian|south|valve|22|held
1530|gale|west|panel|63|pending
1744|ionic|south|pump|86|shipped
1655|ionic|south|gasket|61|shipped
1519|dorian|west|valve|61|held
1393|gale|south|panel|27|shipped
1331|fulton|south|sensor|38|shipped
1943|ionic|east|cable|31|paid
1677|ionic|north|panel|36|pending
1221|birch|north|cable|22|held
1503|fulton|south|valve|70|paid
1907|fulton|east|gasket|80|paid
1829|fulton|north|panel|50|shipped
1275|juno|west|panel|83|held
1993|ember|south|cable|96|shipped
1739|ionic|south|panel|35|pending
1937|acme|south|cable|99|held
2106|harbor|south|panel|50|shipped
2172|dorian|east|cable|66|held
1866|cobalt|south|pump|90|paid
2224|ionic|east|rotor|43|held
1130|acme|west|sensor|39|pending
1983|acme|north|sensor|79|pending
1421|fulton|east|cable|70|shipped
2151|acme|east|rotor|68|paid
1772|fulton|south|frame|79|shipped
1346|birch|south|pump|71|shipped
1576|ember|east|panel|90|shipped
1160|acme|west|rotor|39|held
1963|juno|west|rotor|47|shipped
1763|dorian|west|pump|69|shipped
1324|harbor|south|panel|77|held
1870|gale|north|pump|87|pending
2035|juno|west|pump|90|shipped
1317|juno|east|panel|24|pending
1790|ionic|west|gasket|77|held
1848|ionic|north|cable|37|shipped
1860|juno|south|pump|45|pending
1712|acme|west|gasket|68|paid
1430|juno|south|pump|11|paid
2120|fulton|south|rotor|61|shipped
1241|fulton|north|gasket|94|shipped
1305|acme|east|valve|92|held
1411|acme|west|panel|49|paid
1540|acme|east|sensor|18|pending
1698|dorian|south|panel|67|pending
1989|harbor|west|panel|59|pending
1547|acme|south|pump|42|paid
2174|ember|west|pump|71|held
2063|acme|east|sensor|32|pending
1684|birch|west|frame|87|paid
1527|cobalt|west|panel|48|shipped
1794|ember|north|valve|88|pending
2028|ionic|west|frame|74|pending
1715|ember|west|valve|51|paid
1471|ionic|east|valve|63|held
1319|cobalt|south|frame|79|pending
1842|acme|west|frame|80|shipped
1694|birch|south|frame|89|paid
2093|juno|north|rotor|55|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 58, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1130}}, {"tool": "cancel_order", "args": {"order_id": 1139}}, {"tool": "cancel_order", "args": {"order_id": 1153}} ]
wrongagentic.tools.ledger-v1conf 100% · 288ms · $0.000 · 187 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: $161
- delta: $796
- lima: $567

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $476 from "lima" to "oscar"
2. pay $568 from "lima" to "delta"
3. pay $216 from "lima" to "oscar"
4. pay $507 from "lima" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 476}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 568}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 216}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 216}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 507}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 507}} ]
correctagentic.tools.triage-v1conf 100% · 159ms · $0.000 · 185 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 → chen
- payments → novak
- data → okafor

INCIDENTS:
1. "API latency spikes" (category: infra, priority 4)
2. "invoice total wrong" (category: payments, priority 7)
3. "API latency spikes" (category: infra, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.context-load-v1conf · 293ms · $0.000 · 114 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 (156 records, format: id|customer|region|item|qty|status):
```
2006|ionic|south|valve|62|held
1542|acme|east|valve|64|held
1548|harbor|south|sensor|97|pending
1692|ember|south|rotor|37|pending
1702|ionic|west|cable|21|paid
1496|gale|west|sensor|40|pending
1524|cobalt|east|valve|78|shipped
1413|harbor|east|rotor|96|shipped
1489|gale|south|gasket|52|held
1427|juno|west|gasket|21|held
1591|ionic|east|frame|12|pending
1771|gale|west|panel|26|pending
1457|dorian|east|rotor|27|pending
1804|harbor|west|frame|14|paid
1805|ionic|north|gasket|25|held
1950|fulton|south|cable|20|paid
1905|harbor|west|panel|69|paid
1991|harbor|east|panel|78|pending
1577|juno|north|gasket|30|pending
1890|harbor|west|rotor|64|held
1938|gale|west|frame|94|shipped
1473|dorian|east|cable|87|shipped
1809|harbor|south|panel|25|shipped
1620|ember|south|pump|96|held
1602|ionic|east|panel|48|paid
1793|ionic|north|gasket|74|shipped
1767|fulton|north|frame|83|pending
1817|acme|east|panel|17|paid
1850|cobalt|west|gasket|51|pending
1697|ionic|east|valve|52|pending
2020|harbor|west|sensor|86|held
1993|ember|west|pump|32|pending
1432|cobalt|west|pump|97|pending
1735|harbor|north|frame|41|pending
1851|ionic|east|pump|64|shipped
1910|dorian|west|sensor|69|pending
1512|gale|east|cable|34|held
1726|juno|west|cable|39|shipped
1502|cobalt|east|panel|79|pending
2017|ionic|east|cable|24|paid
1599|cobalt|south|sensor|83|paid
1746|juno|north|rotor|26|held
1640|dorian|south|frame|11|pending
1738|cobalt|south|rotor|12|shipped
1750|birch|north|gasket|70|shipped
1406|harbor|south|sensor|27|pending
1904|juno|west|pump|92|shipped
1944|ionic|north|frame|83|held
1552|gale|south|gasket|42|paid
1985|birch|north|frame|36|paid
1557|gale|south|valve|99|paid
1584|fulton|south|frame|52|shipped
1799|gale|north|gasket|31|pending
1872|acme|west|gasket|72|pending
1858|ionic|south|cable|39|paid
1544|cobalt|north|valve|37|pending
1934|juno|south|panel|97|shipped
1655|fulton|north|gasket|41|held
1787|fulton|north|pump|82|held
1928|gale|east|panel|98|shipped
1957|acme|west|gasket|18|shipped
1643|harbor|west|pump|22|shipped
1446|gale|west|panel|95|paid
1682|juno|west|valve|38|paid
1645|birch|north|sensor|66|paid
2010|juno|north|sensor|31|pending
1484|ionic|west|pump|92|paid
1956|fulton|west|gasket|43|shipped
1719|ionic|east|cable|20|pending
1733|harbor|east|valve|74|paid
1717|cobalt|east|gasket|87|pending
1863|ember|north|rotor|21|held
1439|gale|east|sensor|29|paid
1625|gale|east|gasket|43|held
1609|fulton|north|pump|83|held
1770|fulton|west|sensor|78|pending
1618|harbor|south|sensor|86|paid
1816|birch|west|panel|57|pending
1683|harbor|north|pump|85|shipped
1674|acme|south|pump|31|pending
1780|fulton|east|rotor|75|pending
1917|birch|west|rotor|96|paid
1633|juno|east|sensor|93|paid
1531|ember|north|rotor|27|pending
1603|gale|south|panel|77|pending
1538|fulton|west|gasket|82|held
1923|acme|south|cable|75|paid
1879|juno|east|valve|40|held
1402|harbor|east|valve|16|shipped
1420|harbor|north|rotor|58|pending
1547|ionic|east|gasket|97|paid
1617|fulton|west|gasket|32|paid
1514|juno|north|rotor|77|pending
1689|birch|east|rotor|92|held
1469|gale|north|frame|41|pending
1679|ionic|south|rotor|60|pending
1425|harbor|east|rotor|64|shipped
1518|dorian|south|cable|98|shipped
1763|ember|west|pump|45|held
1828|fulton|west|sensor|86|held
1520|acme|east|gasket|32|pending
1575|gale|north|cable|71|shipped
1972|ionic|west|pump|45|paid
1451|gale|north|frame|63|paid
1777|cobalt|south|rotor|23|paid
1464|juno|south|cable|59|shipped
1962|ember|east|rotor|76|paid
1952|gale|west|frame|71|paid
1629|gale|north|valve|85|paid
2012|fulton|north|panel|58|shipped
1978|harbor|west|cable|69|pending
1405|harbor|east|frame|51|pending
1652|gale|east|panel|32|pending
1846|harbor|north|panel|66|paid
1842|gale|west|pump|28|shipped
1417|harbor|east|gasket|25|pending
1611|fulton|east|panel|14|pending
1813|fulton|east|valve|32|pending
1509|fulton|west|pump|83|shipped
1711|dorian|south|rotor|73|pending
1476|cobalt|north|panel|37|pending
1397|harbor|east|pump|44|pending
1665|ember|east|cable|48|held
1745|cobalt|north|cable|98|pending
1595|fulton|east|pump|14|shipped
1849|cobalt|east|pump|30|shipped
1822|juno|east|gasket|32|held
1998|cobalt|north|pump|93|shipped
1705|birch|west|gasket|88|pending
1482|acme|north|panel|95|paid
1758|cobalt|west|pump|95|paid
1710|gale|west|gasket|18|shipped
1574|dorian|west|sensor|71|pending
1504|juno|south|pump|15|shipped
1997|ionic|west|pump|21|paid
1561|birch|south|frame|89|paid
1754|ionic|west|gasket|99|held
1825|acme|north|pump|59|paid
1837|fulton|east|sensor|32|pending
1885|harbor|north|cable|31|pending
1669|acme|east|frame|55|held
1882|ember|west|frame|19|shipped
1429|juno|south|gasket|40|pending
1431|cobalt|west|frame|21|paid
1661|ember|east|sensor|57|paid
1897|harbor|east|pump|41|pending
1587|cobalt|north|panel|73|pending
1833|gale|east|valve|60|pending
2001|acme|west|valve|54|pending
1703|ionic|north|valve|21|held
1868|juno|north|gasket|98|shipped
1567|gale|north|pump|80|held
1969|juno|west|panel|74|pending
1401|harbor|south|cable|17|pending
1947|fulton|east|pump|83|shipped
1839|gale|west|panel|27|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "rotor", "qty": 96}}, {"tool": "cancel_order", "args": {"order_id": 1405}}, {"tool": "cancel_order", "args": {"order_id": 1417}}, {"tool": "restock", "args": {"item": "pump", "qty": 44}}, {"tool": "cancel_order", "args": {"order_id": 1897}} ]
correctagentic.tools.deploy-v1conf 100% · 115ms · $0.000 · 111 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: auth-svc
- reports: (none)
- gateway: auth-svc, notifier
- 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: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.context-load-v1conf 100% · 1.1s · $0.002 · 5612 tok
question
You are an order-operations agent working strictly through tool calls.

TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)

ORDER LEDGER (261 records, format: id|customer|region|item|qty|status):
```
2101|birch|east|pump|11|held
1786|fulton|north|pump|66|held
2148|birch|south|frame|19|held
1569|acme|east|rotor|25|pending
1533|harbor|south|sensor|70|paid
1763|juno|east|rotor|70|held
1820|ionic|east|gasket|74|pending
1813|ember|east|rotor|22|pending
2355|juno|south|pump|61|shipped
2024|fulton|south|panel|49|shipped
2280|cobalt|north|panel|26|shipped
1998|juno|south|panel|90|pending
1681|harbor|east|cable|24|shipped
2037|ionic|east|frame|88|pending
1720|juno|north|frame|13|held
2059|acme|east|cable|64|shipped
2266|ionic|west|panel|28|pending
1410|harbor|north|valve|81|pending
1716|ember|west|cable|81|pending
2054|harbor|north|cable|75|paid
2124|fulton|west|cable|74|paid
2185|fulton|south|sensor|82|pending
1517|gale|south|sensor|58|pending
2149|acme|west|panel|89|held
2325|harbor|east|gasket|51|shipped
2178|dorian|north|panel|32|paid
1486|acme|east|frame|32|held
1689|juno|south|frame|43|held
1781|gale|west|frame|28|pending
1996|acme|east|valve|98|shipped
2346|dorian|east|gasket|96|shipped
1735|ember|west|rotor|50|shipped
2335|gale|west|sensor|80|held
2263|dorian|north|pump|19|paid
1603|birch|west|sensor|20|paid
1456|ionic|east|pump|76|held
1828|ionic|south|sensor|75|pending
1860|juno|east|cable|94|shipped
2105|gale|north|pump|51|paid
2334|harbor|south|sensor|33|shipped
2015|juno|north|gasket|18|pending
2316|ember|north|panel|62|paid
2245|gale|east|rotor|58|paid
2166|cobalt|north|rotor|95|paid
2118|acme|north|rotor|58|paid
1905|juno|north|rotor|95|paid
1927|ionic|south|cable|35|shipped
1573|dorian|north|rotor|36|paid
1657|gale|north|panel|77|held
1551|fulton|south|pump|71|pending
1704|cobalt|south|frame|18|pending
1408|harbor|west|rotor|77|pending
2324|birch|north|rotor|27|shipped
1649|ionic|south|sensor|48|held
1922|birch|east|pump|48|held
1471|harbor|south|valve|37|pending
1563|gale|south|panel|77|paid
2341|gale|east|valve|13|held
2130|ionic|east|sensor|85|shipped
2089|gale|north|frame|77|shipped
1985|harbor|north|frame|68|pending
1658|harbor|west|valve|78|held
1745|gale|south|cable|54|held
2183|ionic|east|valve|77|shipped
1737|dorian|north|cable|87|held
1943|harbor|east|panel|49|pending
1449|juno|south|frame|51|held
1430|fulton|north|sensor|89|held
1950|gale|north|pump|81|pending
1732|ionic|east|valve|48|shipped
2180|ember|east|panel|59|shipped
1444|harbor|north|sensor|37|pending
1887|fulton|south|cable|85|paid
1420|acme|south|panel|27|shipped
1972|fulton|east|panel|29|paid
2365|juno|west|rotor|90|paid
1699|cobalt|south|pump|79|paid
1546|juno|west|sensor|81|pending
2186|harbor|east|pump|33|paid
1631|juno|east|gasket|43|paid
1776|harbor|west|gasket|53|pending
2197|cobalt|north|sensor|51|shipped
1495|harbor|north|pump|33|shipped
1755|gale|east|frame|62|paid
1789|ionic|west|panel|97|paid
2064|ember|east|pump|14|held
1934|dorian|east|pump|53|paid
1511|juno|north|frame|50|pending
2147|dorian|east|frame|10|pending
2173|dorian|east|valve|35|held
1881|fulton|north|panel|32|pending
1798|ember|east|gasket|49|pending
1767|acme|west|pump|60|paid
1403|harbor|west|valve|62|shipped
1954|gale|north|pump|68|shipped
1909|harbor|west|gasket|68|paid
1396|harbor|west|valve|90|pending
1846|birch|north|cable|22|pending
1598|ionic|south|panel|17|pending
2044|harbor|west|sensor|26|held
1964|gale|south|frame|30|pending
1885|ionic|west|sensor|52|held
1862|cobalt|west|cable|94|paid
2029|cobalt|east|frame|64|shipped
1384|harbor|north|frame|22|pending
2001|juno|west|sensor|85|paid
1474|ember|south|pump|43|shipped
2246|ionic|east|panel|27|pending
1426|fulton|north|frame|80|shipped
1525|acme|north|sensor|93|shipped
2012|harbor|north|panel|49|pending
1812|dorian|north|gasket|28|paid
2177|juno|north|pump|18|paid
1823|acme|north|valve|74|paid
1437|dorian|west|pump|92|held
2274|ember|west|rotor|72|held
1759|ionic|east|rotor|64|shipped
1479|ember|west|cable|47|paid
1694|fulton|west|sensor|85|pending
2063|birch|north|panel|81|held
2343|dorian|west|cable|97|paid
2192|ember|south|frame|81|pending
1453|ionic|east|rotor|38|shipped
1868|juno|north|sensor|30|shipped
2045|harbor|east|pump|96|paid
1643|gale|north|valve|26|pending
1618|fulton|north|gasket|22|held
2144|ember|east|sensor|86|pending
1616|birch|east|valve|14|held
2165|juno|south|sensor|33|pending
1425|acme|west|rotor|96|held
1686|harbor|south|rotor|73|shipped
2079|juno|south|panel|29|shipped
1914|cobalt|west|panel|59|held
1609|harbor|north|sensor|40|shipped
1415|ionic|north|valve|83|shipped
1433|ember|west|valve|48|pending
1677|cobalt|east|frame|34|shipped
2310|gale|south|sensor|66|paid
1874|ember|south|valve|87|paid
1730|cobalt|west|sensor|19|held
2259|gale|west|gasket|65|shipped
2348|acme|east|cable|89|paid
2139|dorian|east|gasket|39|held
1854|ionic|west|cable|32|shipped
2232|ionic|west|gasket|77|pending
1553|gale|east|rotor|14|paid
2303|birch|south|valve|78|pending
1800|gale|west|valve|75|held
1925|birch|east|gasket|19|pending
2018|birch|east|gasket|34|pending
1707|birch|west|rotor|74|shipped
1712|cobalt|east|valve|89|pending
2048|cobalt|north|pump|17|paid
1606|dorian|west|rotor|17|shipped
2158|cobalt|south|pump|11|held
1633|acme|south|sensor|41|held
1807|dorian|north|sensor|68|pending
1505|ember|west|gasket|30|held
1488|ionic|east|sensor|65|pending
1958|harbor|south|rotor|70|paid
2296|gale|north|pump|13|held
1461|birch|north|sensor|57|shipped
1541|fulton|north|cable|89|held
1685|juno|north|frame|39|pending
1522|dorian|north|cable|63|paid
1833|ionic|north|frame|76|held
1445|ember|north|rotor|81|pending
1853|juno|south|cable|55|pending
1834|ember|south|cable|76|held
2267|ember|east|cable|10|pending
2058|acme|north|sensor|29|shipped
2362|cobalt|east|valve|41|shipped
1726|juno|north|sensor|88|pending
2070|juno|east|cable|55|paid
1858|dorian|south|rotor|43|shipped
2358|juno|east|cable|13|pending
2216|birch|east|pump|44|pending
1870|ember|west|pump|69|held
1852|ember|east|valve|83|paid
1472|juno|west|rotor|93|shipped
1654|ember|south|frame|73|pending
2308|juno|north|panel|91|paid
1667|cobalt|north|valve|94|pending
1398|harbor|east|frame|73|pending
2094|harbor|south|sensor|70|pending
2135|gale|north|panel|81|paid
2098|birch|south|sensor|79|shipped
1562|cobalt|south|rotor|12|held
1544|cobalt|south|pump|85|shipped
2239|birch|south|valve|97|paid
1936|birch|east|panel|56|shipped
1839|juno|west|valve|44|pending
1580|juno|north|gasket|90|shipped
1693|ionic|east|frame|37|paid
2034|acme|west|gasket|61|paid
2356|ember|east|cable|88|pending
1412|harbor|west|rotor|81|paid
1931|ember|west|panel|50|paid
2005|gale|north|cable|17|shipped
1639|acme|south|cable|18|pending
1750|gale|north|sensor|89|paid
2128|fulton|west|cable|29|held
1979|dorian|west|frame|38|pending
1464|ember|west|cable|41|paid
1971|cobalt|west|panel|31|pending
1391|harbor|west|sensor|67|paid
2318|birch|south|rotor|16|shipped
2289|ionic|north|sensor|62|shipped
1516|ember|west|cable|68|paid
2218|ember|east|sensor|31|held
2321|birch|west|cable|48|paid
1530|cobalt|north|frame|30|paid
1468|juno|south|sensor|71|held
2086|dorian|south|valve|63|paid
2074|harbor|east|valve|79|pending
1771|cobalt|west|valve|61|shipped
1494|gale|south|frame|86|held
1795|ember|east|rotor|15|held
1377|harbor|west|cable|45|pending
2032|birch|west|pump|53|paid
1537|cobalt|south|cable|72|paid
1566|harbor|west|pump|33|pending
2207|dorian|south|cable|74|held
1466|gale|east|pump|11|pending
1992|fulton|north|valve|69|held
1592|ionic|east|valve|50|shipped
2272|gale|west|pump|35|shipped
2111|juno|east|gasket|72|pending
1894|gale|east|pump|40|pending
2283|dorian|south|cable|50|paid
2071|acme|north|gasket|13|pending
2331|dorian|east|cable|32|pending
1624|harbor|south|pump|40|held
1744|dorian|north|rotor|98|shipped
1919|cobalt|west|rotor|90|held
1431|harbor|west|cable|97|pending
2225|fulton|east|sensor|79|held
1604|harbor|west|cable|23|shipped
2204|ember|east|cable|40|pending
1928|ember|north|sensor|68|held
1673|ember|east|rotor|69|held
1560|fulton|west|sensor|97|held
2026|fulton|south|sensor|35|paid
1628|cobalt|east|valve|53|pending
1583|ember|west|valve|26|held
1843|ionic|east|valve|77|held
1748|ember|west|frame|88|held
2212|harbor|south|frame|46|held
1901|acme|east|frame|70|pending
1501|ember|west|gasket|42|shipped
1912|ionic|south|rotor|33|shipped
1585|birch|east|rotor|94|paid
1660|gale|east|cable|26|held
1772|cobalt|east|valve|39|paid
2253|cobalt|south|gasket|85|shipped
1717|juno|west|cable|97|held
1849|fulton|west|sensor|65|paid
2069|gale|east|rotor|81|paid
1552|dorian|east|panel|11|pending
2154|ember|east|frame|50|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 > 57, 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": 1377}}, {"tool": "restock", "args": {"item": "valve", "qty": 90}}, {"tool": "restock", "args": {"item": "rotor", "qty": 77}}, {"tool": "restock", "args": {"item": "cable", "qty": 97}}, {"tool": "cancel_order", "args": {"order_id": 1566}}, {"tool": "cancel_order", "args": {"order_id": 1776}} ]
correctagentic.tools.ledger-v1conf 100% · 1.8s · $0.000 · 717 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: $610
- oscar: $740
- delta: $563

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $477 from "delta" to "bravo"
2. pay $344 from "bravo" to "delta"
3. pay $544 from "delta" to "oscar"
4. pay $92 from "delta" to "oscar"
5. pay $235 from "oscar" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 477}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 344}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 114}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 544}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 92}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 92}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 235}} ]
correctagentic.tools.triage-v1conf 100% · 124ms · $0.000 · 209 tok
question
You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

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

INCIDENTS:
1. "export file corrupted" (category: data, priority 7)
2. "export file corrupted" (category: data, priority 7)
3. "cannot reset password" (category: auth, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}} ]
correctagentic.tools.context-load-v1conf 100% · 1.9s · $0.001 · 1238 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 (210 records, format: id|customer|region|item|qty|status):
```
1359|juno|west|rotor|92|paid
1735|juno|west|sensor|71|shipped
1962|gale|east|pump|95|held
1606|harbor|north|cable|66|pending
1947|dorian|south|pump|47|held
1814|birch|west|pump|92|paid
1612|gale|north|pump|68|paid
1203|ionic|east|frame|52|pending
1401|fulton|east|gasket|19|held
1294|harbor|east|cable|25|held
1454|ionic|west|gasket|59|shipped
1490|birch|south|rotor|87|held
1868|gale|east|pump|50|shipped
1380|acme|east|cable|29|shipped
1530|juno|south|panel|76|pending
1312|acme|south|rotor|44|paid
1368|cobalt|north|pump|55|pending
1699|harbor|west|pump|62|pending
1549|gale|east|gasket|30|paid
1331|birch|west|panel|95|shipped
1468|gale|north|sensor|97|paid
1273|acme|west|sensor|20|held
1859|gale|north|panel|27|shipped
1514|gale|east|pump|81|shipped
1657|ember|east|sensor|35|held
1785|ionic|east|cable|84|held
1645|cobalt|west|frame|89|pending
1593|gale|south|valve|97|paid
1441|harbor|east|cable|46|paid
1797|ionic|north|panel|69|paid
1708|cobalt|north|valve|71|held
1659|gale|south|valve|30|paid
1287|juno|north|sensor|38|shipped
1938|harbor|south|valve|98|pending
1160|fulton|south|pump|23|held
1543|gale|east|gasket|91|held
1534|harbor|south|sensor|12|held
1565|gale|east|gasket|42|paid
1307|ember|west|cable|34|held
1393|gale|west|valve|78|paid
1672|juno|south|frame|78|held
1821|harbor|west|cable|35|held
1714|juno|north|pump|81|pending
1258|fulton|south|pump|70|held
1376|dorian|north|sensor|57|pending
1630|fulton|north|rotor|44|held
1695|harbor|north|pump|11|paid
1678|dorian|east|frame|73|shipped
1580|fulton|north|sensor|72|pending
1767|ionic|south|rotor|71|held
1864|ionic|east|valve|30|shipped
1434|acme|north|valve|98|shipped
2002|acme|east|gasket|17|held
1210|harbor|north|pump|21|pending
1435|juno|west|valve|39|paid
1680|birch|north|sensor|96|held
1165|fulton|south|gasket|62|pending
1828|harbor|north|valve|93|paid
1300|gale|east|panel|75|pending
1263|birch|north|rotor|90|held
1486|birch|west|gasket|37|shipped
1872|gale|north|pump|71|held
1990|juno|north|frame|36|held
1761|ionic|west|gasket|99|paid
1186|fulton|south|frame|54|shipped
1311|juno|south|pump|45|shipped
1614|fulton|south|panel|43|held
1723|juno|north|rotor|68|shipped
1981|cobalt|east|panel|29|pending
1383|gale|north|rotor|19|held
1167|fulton|west|rotor|53|pending
1687|birch|north|panel|99|paid
1931|harbor|west|gasket|36|pending
1624|birch|east|valve|72|paid
1319|dorian|north|cable|25|paid
1586|ionic|north|rotor|79|held
1199|harbor|east|gasket|70|pending
1313|ember|west|cable|46|paid
1888|juno|south|valve|39|shipped
1840|ionic|south|rotor|86|paid
1924|cobalt|east|sensor|66|paid
1584|cobalt|north|gasket|22|paid
1915|acme|north|cable|16|held
1559|juno|east|valve|23|paid
1461|cobalt|east|gasket|94|held
1650|juno|north|panel|79|pending
1997|birch|west|sensor|26|held
1954|harbor|east|valve|28|held
1741|gale|north|rotor|19|held
1622|acme|north|sensor|33|pending
1150|fulton|south|cable|76|pending
1729|ember|west|gasket|97|pending
1406|acme|south|rotor|38|paid
1877|juno|north|valve|52|pending
1512|acme|north|gasket|20|shipped
1346|gale|south|frame|48|shipped
1256|cobalt|north|gasket|42|shipped
1557|ionic|west|cable|70|paid
1443|dorian|south|cable|28|held
1640|acme|north|gasket|93|held
1701|dorian|east|frame|96|paid
1539|ember|south|rotor|90|paid
1810|fulton|north|valve|88|shipped
1236|ionic|east|frame|60|paid
1242|acme|north|cable|86|shipped
1568|ember|west|panel|65|held
1523|birch|north|sensor|88|held
1375|juno|south|panel|57|held
1338|juno|east|panel|47|paid
1386|ember|north|panel|38|held
1330|ionic|south|cable|78|held
1500|cobalt|south|valve|12|paid
1194|acme|east|sensor|25|pending
1804|harbor|south|pump|13|shipped
1425|acme|east|valve|62|pending
1922|harbor|south|frame|84|shipped
1482|fulton|east|sensor|48|shipped
1276|birch|west|cable|71|paid
1974|ember|west|rotor|66|shipped
1627|birch|west|gasket|40|pending
1889|dorian|east|gasket|10|paid
1361|ember|north|rotor|74|shipped
1937|cobalt|east|cable|83|held
1881|dorian|north|valve|81|paid
1721|ember|south|rotor|45|paid
1774|ionic|east|valve|90|paid
1607|birch|south|frame|65|shipped
1745|ember|west|panel|14|shipped
1670|dorian|west|cable|94|shipped
1563|juno|north|pump|37|pending
1835|fulton|south|gasket|41|paid
1944|acme|north|valve|22|shipped
1808|dorian|south|valve|90|paid
1791|dorian|south|valve|74|held
1902|dorian|south|cable|89|held
1975|acme|south|sensor|41|paid
1946|fulton|west|cable|97|pending
1272|acme|west|panel|96|shipped
1340|ionic|north|frame|15|pending
1237|acme|west|valve|44|held
1779|ionic|east|panel|90|shipped
1933|dorian|east|valve|89|pending
1384|harbor|west|sensor|19|pending
1192|ember|north|rotor|83|paid
1956|ionic|south|pump|56|pending
1173|fulton|south|gasket|79|paid
1190|acme|south|pump|91|shipped
1352|gale|north|gasket|76|held
1901|gale|west|valve|95|held
1951|gale|south|pump|34|shipped
1574|dorian|north|pump|60|paid
1349|gale|east|gasket|24|paid
1689|ember|south|valve|75|shipped
1895|dorian|south|sensor|33|pending
1497|cobalt|west|cable|19|pending
1553|harbor|west|cable|32|paid
1647|cobalt|west|gasket|21|shipped
1155|fulton|east|sensor|85|pending
1548|fulton|north|frame|44|paid
1897|fulton|south|cable|75|shipped
1634|cobalt|east|panel|30|shipped
1353|gale|west|rotor|83|held
1505|juno|east|rotor|31|paid
1841|ember|south|cable|12|shipped
1600|birch|east|sensor|29|pending
1913|ember|west|panel|67|held
1602|birch|west|sensor|82|held
2000|harbor|east|valve|99|held
1803|juno|west|pump|49|pending
1755|fulton|south|sensor|83|held
1251|birch|east|frame|75|held
1206|dorian|east|cable|32|shipped
1847|harbor|south|rotor|10|shipped
1245|cobalt|west|rotor|71|pending
1428|harbor|south|sensor|11|shipped
1921|acme|west|cable|41|held
1988|ionic|south|panel|68|pending
1967|dorian|east|rotor|27|pending
1621|fulton|north|cable|82|held
1560|birch|west|rotor|23|paid
1587|gale|south|pump|54|pending
1665|birch|south|cable|63|paid
1909|dorian|east|frame|78|held
1329|dorian|west|gasket|31|shipped
1423|ember|south|valve|61|pending
1412|acme|south|rotor|39|paid
1749|dorian|south|cable|92|paid
1517|gale|west|frame|28|shipped
1720|harbor|south|pump|14|pending
1918|juno|west|frame|70|pending
1212|cobalt|east|valve|82|shipped
1848|cobalt|west|gasket|30|shipped
1342|dorian|north|valve|70|shipped
1884|juno|east|valve|58|pending
1664|birch|north|cable|52|held
1223|ionic|north|gasket|40|paid
1450|dorian|north|gasket|42|held
1475|cobalt|east|valve|71|paid
1229|cobalt|south|panel|81|held
1417|gale|east|cable|82|held
1219|birch|north|rotor|77|pending
1281|cobalt|south|frame|40|paid
1370|ember|east|panel|21|paid
1397|juno|north|frame|43|paid
1372|juno|east|frame|66|paid
1183|fulton|east|sensor|15|pending
1855|gale|west|gasket|48|pending
1323|ember|east|gasket|64|held
1178|fulton|south|cable|94|pending
1268|birch|south|rotor|22|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "cable", "qty": 76}}, {"tool": "cancel_order", "args": {"order_id": 1165}}, {"tool": "restock", "args": {"item": "cable", "qty": 94}} ]
correctagentic.tools.deploy-v1conf 100% · 2.1s · $0.000 · 108 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: notifier, search
- notifier: auth-svc, search
- search: (none)
- auth-svc: search

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.ledger-v1conf 100% · 183ms · $0.000 · 178 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $589
- echo: $515
- delta: $711

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $314 from "echo" to "delta"
2. pay $589 from "alpha" to "echo"
3. pay $396 from "alpha" to "delta"
4. pay $527 from "alpha" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 314}}, {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 589}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 396}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 396}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 527}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 527}} ]
correctagentic.tools.triage-v1conf 95% · 415ms · $0.000 · 1205 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 → haddad
- data → dubois
- auth → tanaka

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 2)
2. "export file corrupted" (category: data, priority 2)
3. "webhooks not delivered" (category: infra, priority 2)
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: [ {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}} ]
correctagentic.tools.deploy-v1conf 100% · 2.1s · $0.000 · 439 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
- notifier: billing
- billing: (none)
- auth-svc: search

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}} ]
wrongagentic.tools.ledger-v1conf 100% · 2.0s · $0.000 · 157 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: $459
- alpha: $203
- oscar: $253

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $562 from "alpha" to "oscar"
2. pay $371 from "oscar" to "alpha"
3. pay $388 from "kilo" to "alpha"
4. pay $241 from "oscar" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 562}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 359}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 371}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 388}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 241}} ]
correctagentic.tools.triage-v1conf 100% · 152ms · $0.000 · 245 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → rivera
- payments → chen
- data → novak

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "card declined at checkout" (category: payments, priority 3)
3. "records missing after import" (category: data, priority 5)
4. "card declined at checkout" (category: payments, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 100% · 814ms · $0.000 · 659 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: notifier, search
- auth-svc: search
- notifier: 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 "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.context-load-v1conf 100% · 1.2s · $0.001 · 1700 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 (135 records, format: id|customer|region|item|qty|status):
```
1891|birch|east|valve|31|held
1914|ember|east|pump|75|pending
1879|ember|north|cable|80|shipped
1970|harbor|east|valve|96|pending
1581|acme|north|rotor|63|paid
1957|ember|south|rotor|56|paid
1524|juno|east|cable|93|pending
1881|juno|south|gasket|25|paid
1977|cobalt|south|frame|13|pending
1706|birch|south|pump|67|shipped
1515|birch|south|sensor|38|pending
1670|birch|north|frame|99|shipped
1786|harbor|south|valve|30|pending
1613|gale|south|gasket|29|paid
1741|dorian|south|sensor|72|held
1702|harbor|east|gasket|85|paid
1743|cobalt|south|pump|83|pending
1799|fulton|east|sensor|87|held
2011|juno|west|sensor|73|pending
1709|gale|south|frame|76|held
1833|fulton|west|rotor|28|held
1851|dorian|east|rotor|58|shipped
1788|birch|south|pump|31|held
1946|juno|west|sensor|70|pending
1750|gale|east|frame|13|held
1607|ionic|north|rotor|40|pending
1735|acme|east|cable|84|held
1542|harbor|east|sensor|21|held
1718|acme|west|gasket|13|pending
1632|cobalt|west|cable|65|paid
2020|acme|north|gasket|90|shipped
1508|birch|north|frame|23|pending
1938|gale|west|panel|12|shipped
1482|birch|north|rotor|32|pending
1693|dorian|south|pump|10|pending
1827|acme|west|panel|72|pending
1983|gale|south|gasket|37|shipped
1861|cobalt|north|rotor|14|shipped
1554|gale|north|sensor|85|held
1818|fulton|east|valve|18|shipped
1540|cobalt|south|pump|49|shipped
1624|juno|west|sensor|82|paid
2015|ionic|south|valve|39|shipped
1617|harbor|west|valve|87|pending
1974|ionic|south|valve|10|pending
1655|ionic|south|panel|96|held
1793|ember|south|panel|44|paid
1572|gale|north|cable|60|held
1909|fulton|west|frame|79|held
1822|acme|east|panel|24|held
1517|birch|north|sensor|29|shipped
2048|gale|west|rotor|87|pending
2034|ionic|east|rotor|81|paid
1668|acme|north|cable|31|pending
2041|cobalt|north|valve|12|pending
1657|cobalt|west|sensor|32|pending
1777|harbor|north|valve|37|paid
1641|birch|south|panel|41|pending
1598|juno|south|frame|36|paid
1893|juno|east|frame|42|held
2024|ionic|south|panel|76|shipped
1497|birch|east|pump|87|pending
1531|harbor|west|gasket|90|held
1676|birch|north|panel|66|pending
1950|ember|east|cable|18|paid
1546|birch|north|frame|66|shipped
1757|harbor|east|valve|86|paid
1924|birch|north|sensor|84|held
1739|ember|south|sensor|43|shipped
1898|acme|south|frame|86|held
1917|ember|south|frame|18|paid
1611|ionic|south|cable|87|held
1645|acme|south|gasket|57|paid
2043|gale|west|rotor|58|held
1696|ember|east|frame|61|shipped
1761|gale|west|valve|92|held
1767|birch|east|panel|52|pending
1858|dorian|east|pump|57|paid
1874|ionic|south|gasket|59|shipped
1994|cobalt|east|valve|52|pending
1673|gale|south|cable|76|held
1551|juno|west|cable|32|paid
1650|acme|north|rotor|36|held
1561|fulton|south|panel|82|pending
1504|birch|north|cable|84|held
1595|juno|north|valve|30|held
1859|harbor|east|panel|13|pending
1751|cobalt|south|frame|27|pending
1594|acme|south|valve|98|held
1648|juno|west|cable|62|shipped
1533|fulton|north|panel|51|paid
1600|acme|east|sensor|82|pending
1931|fulton|north|valve|66|pending
1489|birch|east|valve|58|pending
1868|cobalt|east|panel|44|pending
1736|birch|south|gasket|80|pending
1492|birch|north|cable|69|pending
1969|cobalt|north|panel|28|shipped
1958|ember|south|valve|72|shipped
1588|birch|east|rotor|19|shipped
1490|birch|north|gasket|29|shipped
2004|acme|east|pump|69|pending
1998|ionic|north|cable|80|pending
1903|cobalt|east|cable|22|held
1662|fulton|east|sensor|74|paid
1626|acme|west|frame|55|paid
1962|fulton|east|rotor|25|pending
1589|harbor|west|sensor|13|paid
1972|ember|west|valve|42|pending
1840|dorian|south|cable|64|held
1577|fulton|north|cable|80|paid
1639|birch|south|rotor|26|paid
1897|fulton|west|sensor|88|shipped
1683|ionic|west|frame|65|pending
1779|juno|south|cable|24|shipped
1789|gale|north|rotor|59|shipped
1981|acme|west|frame|76|held
2008|birch|south|valve|76|shipped
1567|dorian|west|panel|51|paid
1730|ember|south|panel|31|pending
1713|harbor|north|frame|93|held
1814|ionic|south|pump|15|paid
1869|fulton|west|rotor|97|shipped
2009|cobalt|north|sensor|87|paid
1801|acme|south|cable|74|shipped
1688|gale|east|rotor|39|pending
1886|gale|north|rotor|76|pending
1771|fulton|east|frame|59|held
1807|fulton|south|sensor|87|held
1940|acme|south|pump|64|shipped
2027|fulton|east|frame|31|shipped
1987|cobalt|west|frame|65|shipped
1725|juno|south|valve|61|pending
1845|cobalt|north|frame|65|pending
1633|dorian|east|rotor|13|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 41, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1482}}, {"tool": "restock", "args": {"item": "cable", "qty": 69}}, {"tool": "cancel_order", "args": {"order_id": 1508}}, {"tool": "restock", "args": {"item": "panel", "qty": 66}} ]
correctagentic.tools.ledger-v1conf 100% · 968ms · $0.000 · 539 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: $797
- lima: $387
- tango: $786

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $393 from "bravo" to "tango"
2. pay $460 from "tango" to "bravo"
3. pay $339 from "lima" to "tango"
4. pay $116 from "lima" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 393}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 460}}, {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 339}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 68}}, {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 116}} ]
wrongagentic.tools.triage-v1conf 100% · 2.8s · $0.000 · 267 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → rivera
- auth → silva
- payments → novak

INCIDENTS:
1. "export file corrupted" (category: data, priority 8)
2. "SSO loop on login" (category: auth, priority 5)
3. "invoice total wrong" (category: payments, priority 9)
4. "invoice total wrong" (category: payments, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 8}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 5}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}} ]
correctagentic.tools.deploy-v1conf 100% · 3.9s · $0.000 · 544 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [{"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}]
correctagentic.tools.context-load-v1anchorconf 100% · 2.0s · $0.002 · 4050 tok
model answer: [ {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": 1384}}, {"tool": "restock", "args": {"item": "frame", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1682}} ]
correctagentic.tools.ledger-v1conf 100% · 433ms · $0.000 · 409 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $640
- echo: $611
- oscar: $460

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $115 from "oscar" to "echo"
2. pay $131 from "oscar" to "echo"
3. pay $258 from "echo" to "lima"
4. pay $424 from "lima" to "oscar"
5. pay $457 from "oscar" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 115}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 131}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 258}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 424}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 457}} ]
correctagentic.tools.triage-v1conf 100% · 195ms · $0.000 · 268 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 → silva
- data → chen
- auth → haddad

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 2)
2. "export file corrupted" (category: data, priority 4)
3. "SSO loop on login" (category: auth, priority 8)
4. "webhooks not delivered" (category: infra, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 837ms · $0.000 · 339 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1anchorconf 100% · 1.8s · $0.000 · 684 tok
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
correctagentic.tools.triage-v1anchorconf 100% · 452ms · $0.000 · 879 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
code 27/30 correct
TimeoutError: The operation was aborted due to timeoutcode.trace.nested-v1conf · · · 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 == 5 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: (none extracted)
correctcode.trace.nested-v1conf 100% · 1.7s · $0.000 · 862 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 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: 108
wrongcode.trace.js-v1conf 100% · 108ms · $0.000 · 13 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 4)
  .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: 180
correctcode.trace.python-v1conf 100% · 1.7s · $0.000 · 726 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 1
while total + v <= 107:
    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: 93
correctcode.trace.js-v1conf 100% · 1.8s · $0.000 · 211 tok
question
What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 312
correctcode.trace.nested-v1conf 100% · 2.1s · $0.000 · 1308 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 170
correctcode.trace.python-v1conf 100% · 980ms · $0.000 · 308 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 8
while total + v <= 30:
    if v % 4 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 0
correctcode.trace.js-v1conf 100% · 2.5s · $0.000 · 179 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 * 4)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 288
correctcode.trace.nested-v1conf 100% · 188ms · $0.000 · 748 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 172
correctcode.trace.python-v1conf 100% · 191ms · $0.000 · 312 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 105:
    if v % 4 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 96
correctcode.trace.js-v1conf 100% · 204ms · $0.000 · 13 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
const out = arr
  .map(n => n * 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: 180
correctcode.trace.python-v1conf 100% · 189ms · $0.000 · 448 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 6
while total + v <= 113:
    if v % 3 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
correctcode.trace.js-v1conf 100% · 415ms · $0.000 · 178 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 4)
  .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: 108
correctcode.trace.nested-v1conf 100% · 1.9s · $0.000 · 1069 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) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 68
correctcode.trace.nested-v1conf 100% · 6.0s · $0.000 · 1251 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 137
correctcode.trace.python-v1conf 100% · 1.3s · $0.000 · 542 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 1
while total + v <= 82:
    if v % 6 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 65
correctcode.trace.js-v1conf 100% · 126ms · $0.000 · 118 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 294
correctcode.trace.python-v1conf 100% · 996ms · $0.000 · 675 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 2
while total + v <= 94:
    if v % 3 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 74
wrongcode.trace.js-v1conf 100% · 112ms · $0.000 · 13 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [3, 4, 5, 6, 7, 8];
const out = arr
  .map(n => n * 3)
  .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: 45
correctcode.trace.nested-v1conf 100% · 349ms · $0.000 · 1082 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: 247
correctcode.trace.python-v1conf 100% · 1.0s · $0.000 · 324 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 7
while total + v <= 96:
    if v % 7 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctcode.trace.js-v1conf 100% · 2.2s · $0.000 · 273 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];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 570
correctcode.trace.nested-v1anchorconf 100% · 1.7s · $0.000 · 780 tok
model answer: 283
correctcode.trace.nested-v1conf 100% · 131ms · $0.000 · 690 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 234
correctcode.trace.python-v1conf 100% · 1.1s · $0.000 · 201 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 8
while total + v <= 34:
    if v % 3 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 24
correctcode.trace.js-v1conf 100% · 109ms · $0.000 · 282 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
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: 468
correctcode.trace.nested-v1conf 100% · 1.9s · $0.000 · 648 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 186
correctcode.trace.python-v1anchorconf 100% · 1.4s · $0.000 · 226 tok
model answer: 0
correctcode.trace.js-v1anchorconf 100% · 3.3s · $0.000 · 125 tok
model answer: 63
correctcode.trace.python-v1anchorconf 100% · 1.1s · $0.000 · 263 tok
model answer: 40
instruction following 23/30 correct
correctif.constraints.stack-v1conf 100% · 714ms · $0.000 · 787 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "basalt" and the last word must be "cedar".
3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: basalt city streets echo with distant footsteps, neon lights echo a silence under the old cedar
wrongif.format.repeat-v1conf 100% · 2.6s · $0.000 · 20 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: (none extracted)
wrongif.format.acronym-v1conf 100% · 513ms · $0.000 · 14 tok
question
Take the third letter of each of these words, in order: cedar, falcon, orbit, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DLCU
correctif.constraints.stack-v1conf 100% · 2.0s · $0.000 · 1030 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "delta" and the last word must be "echo".
3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: delta cedar forest path led me through cedar groves across vast plains before finally arriving at echo
wrongif.constraints.stack-v1conf 100% · 131ms · $0.000 · 58 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "echo" and the last word must be "tundra".
3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: echo a nova machine hums, its rusted gears turning slow, a nova ghost on the frozen tundra.
correctif.format.acronym-v1conf 100% · 113ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: orbit, ember, falcon, comet, zephyr, 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: OEFCZP
correctif.format.repeat-v1conf 100% · 1.7s · $0.000 · 20 tok
question
Write the word "tundra" in uppercase form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: TUNDRA_TUNDRA_TUNDRA
correctif.format.acronym-v1conf 100% · 1.6s · $0.000 · 73 tok
question
Take the first letter of each of these words, in order: flint, delta, echo, drift, 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: FDEDP
correctif.constraints.stack-v1conf 100% · 1.2s · $0.000 · 818 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "delta" and the last word must be "flint".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: delta nova sea whispers, nova tide returns, nova moon reflects on salt, then gray stones and deep cold water make sharp flint
correctif.format.repeat-v1conf 100% · 2.7s · $0.000 · 104 tok
question
Write the word "echo" in capitalized 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: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.acronym-v1conf 100% · 3.7s · $0.000 · 14 tok
question
Take the first letter of each of these words, in order: quartz, orbit, falcon, 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: QOFN
correctif.format.repeat-v1conf 100% · 1.3s · $0.000 · 100 tok
question
Write the word "basalt" in capitalized 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: BASALT-BASALT-BASALT-BASALT-BASALT-BASALT
correctif.constraints.stack-v1conf 100% · 1.9s · $0.000 · 1585 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 "delta" and the last word must be "ember".
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: delta basalt stones marked the path through basalt canyons, we walked for days under burning sun and moon toward a very distant ember
wrongif.constraints.stack-v1conf 100% · 8.4s · $0.000 · 57 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "prism" and the last word must be "falcon".
3. Use the word "lumen" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism of frost splits a single lumen, then another lumen, across the white field. a still falcon.
wrongif.format.acronym-v1conf 100% · 859ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: flint, comet, delta, orbit, falcon, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: LORBLA
correctif.format.repeat-v1conf 100% · 803ms · $0.000 · 69 tok
question
Write the word "falcon" in capitalized form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FALCON_FALCON_FALCON
correctif.format.acronym-v1conf 100% · 1.2s · $0.000 · 125 tok
question
Take the third letter of each of these words, in order: prism, quartz, zephyr, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: IAPB
correctif.format.repeat-v1conf 100% · 1.2s · $0.000 · 77 tok
question
Write the word "prism" 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: prism_prism_prism_prism_prism_prism
wrongif.constraints.stack-v1conf 100% · 2.6s · $0.000 · 989 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "cedar" and the last word must be "delta".
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: cedar trees gently sway in the cold orbit of dawn a quiet orbit of frost a silent orbit of crisp winter morning delta
correctif.constraints.stack-v1conf 100% · 747ms · $0.001 · 2242 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "basalt" and the last word must be "flint".
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: basalt and quartz and quartz and quartz are common on the sea floor where they erode slowly and gradually over many years into flint
correctif.format.acronym-v1conf 100% · 1.7s · $0.000 · 53 tok
question
Take the first letter of each of these words, in order: comet, orbit, zephyr, 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: COZN
correctif.format.repeat-v1conf 100% · 506ms · $0.000 · 25 tok
question
Write the word "prism" in capitalized form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PRISM-PRISM-PRISM-PRISM-PRISM
correctif.constraints.stack-v1conf 100% · 6.0s · $0.000 · 981 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "zephyr" and the last word must be "comet".
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: zephyr over the sea touches basalt cliffs and basalt rocks under the moon's pale light then a comet
wrongif.format.acronym-v1conf 100% · 469ms · $0.000 · 15 tok
question
Take the third letter of each of these words, in order: prism, comet, echo, cedar, tundra, 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: IMRTAI
correctif.constraints.stack-v1anchorconf 95% · 3.8s · $0.000 · 85 tok
model answer: drift through neon veins, each lumen a pulse, another lumen a sigh, third lumen a star’s echo, city hums, sleeps, wakes, dreams, then orbit.
correctif.format.repeat-v1conf 100% · 1.7s · $0.000 · 85 tok
question
Write the word "cedar" 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: cedar-cedar-cedar-cedar-cedar-cedar
correctif.format.acronym-v1conf 100% · 2.0s · $0.000 · 206 tok
question
Take the third letter of each of these words, in order: basalt, drift, quartz, nova, 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: SIAVI
correctif.format.repeat-v1anchorconf 100% · 1.3s · $0.000 · 103 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 1.8s · $0.000 · 34 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 621ms · $0.000 · 14 tok
model answer: ZDFQ
knowledge 29/30 correct
correctknowledge.fr.factbank-v2conf 100% · 3.3s · $0.000 · 13 tok
question
What is the Kazakh capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 1.8s · $0.000 · 65 tok
question
Name the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 2.1s · $0.000 · 15 tok
question
Name the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 55 tok
question
Name the element whose symbol is Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: antimony
correctknowledge.fr.factbank-v2conf 100% · 4.9s · $0.000 · 72 tok
question
What is 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% · 560ms · $0.000 · 50 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% · 454ms · $0.000 · 54 tok
question
Identify the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 402ms · $0.000 · 47 tok
question
Identify the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 5.9s · $0.000 · 37 tok
question
Identify the capital of Brazil.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 12 tok
question
Name the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 193ms · $0.000 · 16 tok
question
Identify the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 25 tok
question
Identify the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 640ms · $0.000 · 16 tok
question
Identify the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 10.0s · $0.000 · 83 tok
question
Identify the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 100% · 406ms · $0.000 · 44 tok
question
Name the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: antimony
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 15 tok
question
What is the capital of Myanmar?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 16 tok
question
Identify the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 3.7s · $0.000 · 52 tok
question
Name 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% · 1.3s · $0.000 · 53 tok
question
Name the capital of Brazil.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 4.5s · $0.000 · 15 tok
question
Name the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 499ms · $0.000 · 16 tok
question
Identify the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
wrongknowledge.fr.factbank-v2conf 90% · 2.2s · $0.000 · 15 tok
question
Identify the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 13 tok
question
What is the Kazakh capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 3.1s · $0.000 · 51 tok
question
Name the writer of the novel "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2anchorconf 100% · 1.8s · $0.000 · 36 tok
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 233ms · $0.000 · 15 tok
question
What is the author of "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 121ms · $0.000 · 12 tok
question
Name the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2anchorconf 100% · 604ms · $0.000 · 13 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 895ms · $0.000 · 12 tok
model answer: Lead
correctknowledge.fr.factbank-v2anchorconf 100% · 1.1s · $0.000 · 78 tok
model answer: Antimony
math 28/30 correct
correctmath.chained.pipeline-v1conf 100% · 2.8s · $0.000 · 200 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 21 × 23.
Step 2: Q = P × 6 − 550.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 268
correctmath.counterfactual.base-v1conf 100% · 1.8s · $0.000 · 880 tok
question
Work strictly in base 9. Add the base-9 numbers 4068 and 2250. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 6328
correctmath.percent.chain-v2conf 100% · 1.5s · $0.000 · 304 tok
question
An inventory starts at 63000 units. The delivery van has a 116-liter fuel tank. In the first month the inventory grows by 38%. Each pallet weighs about 58 grams more when wet. The next month it shrinks by 41%, and the month after it grows by 38%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 70786.55
correctmath.algebra.system-v2conf 100% · 2.3s · $0.000 · 429 tok
question
Solve the system, then answer the derived question.

2x + 8y = 128
8x − 5y = -302

What is the value of 6x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -254
correctmath.arith.chain-v2conf 100% · 2.0s · $0.000 · 356 tok
question
Evaluate the expression below and give the result.

(((89 × 74 − 969) × 7 + 8466) − 79 × 81) × 5

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 206930
correctmath.chained.pipeline-v1conf 100% · 3.7s · $0.000 · 227 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 41 × 79.
Step 2: Q = P × 7 − 874.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 5452
correctmath.counterfactual.base-v1conf 100% · 492ms · $0.000 · 14 tok
question
Work strictly in base 9. Add the base-9 numbers 2200 and 3883. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 6183
correctmath.percent.chain-v2conf 100% · 565ms · $0.000 · 120 tok
question
An inventory starts at 72000 units. The warehouse was painted 22 years ago. In the first month the inventory grows by 22%. The company was founded 159 kilometers from the port. The next month it shrinks by 37%, and the month after it grows by 11%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 61426.51
correctmath.algebra.system-v2conf 100% · 507ms · $0.000 · 390 tok
question
Solve the system, then answer the derived question.

9x + 6y = -12
2x − 5y = -47

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: -44
correctmath.arith.chain-v2conf 100% · 862ms · $0.000 · 564 tok
question
Calculate the following. Show your reasoning, then answer.

(((55 × 64 − 701) × 9 + 5323) − 55 × 57) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 192913
correctmath.counterfactual.base-v1conf 100% · 2.3s · $0.000 · 851 tok
question
Work strictly in base 11. Add the base-11 numbers 2159 and 881. 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: 2A2A
correctmath.chained.pipeline-v1conf 100% · 1.4s · $0.000 · 250 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 23 × 38.
Step 2: Q = P × 4 − 441.
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: 388
correctmath.algebra.system-v2conf 100% · 2.5s · $0.000 · 438 tok
question
Solve the system, then answer the derived question.

5x + 7y = -475
8x − 4y = -152

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: 44
correctmath.percent.chain-v2conf 100% · 182ms · $0.000 · 106 tok
question
An inventory starts at 52000 units. The delivery van has a 22-liter fuel tank. In the first month the inventory grows by 14%. The company was founded 92 kilometers from the port. The next month it shrinks by 22%, and the month after it grows by 10%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 50862.24
correctmath.arith.chain-v2conf 100% · 1.1s · $0.000 · 359 tok
question
Calculate the following. Show your reasoning, then answer.

(((61 × 82 − 182) × 9 + 3747) − 17 × 25) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 326914
wrongmath.chained.pipeline-v1conf 100% · 2.1s · $0.000 · 14 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 19 × 81.
Step 2: Q = P × 9 − 845.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1550
correctmath.arith.chain-v2conf 100% · 5.8s · $0.000 · 258 tok
question
Compute the value of the following expression.

(((83 × 51 − 185) × 8 + 6538) − 11 × 21) × 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: 116073
correctmath.counterfactual.base-v1conf 100% · 1.3s · $0.000 · 287 tok
question
Work strictly in base 8. Multiply the base-8 numbers 21 and 51. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1271
correctmath.percent.chain-v2conf 95% · 405ms · $0.000 · 607 tok
question
An inventory starts at 48000 units. A rival firm shipped 93 unrelated parcels the same week. In the first month the inventory grows by 17%. Each pallet weighs about 124 grams more when wet. The next month it shrinks by 7%, and the month after it grows by 14%. 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: 59540.83
correctmath.algebra.system-v2conf 100% · 1.5s · $0.000 · 385 tok
question
Solve the system, then answer the derived question.

2x + 3y = -164
8x − 2y = -152

What is the value of 3x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -12
correctmath.arith.chain-v2conf 100% · 1.7s · $0.000 · 112 tok
question
Work out the exact value of this expression.

(((45 × 86 − 266) × 7 + 3515) − 75 × 29) × 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: 79704
correctmath.counterfactual.base-v1conf 100% · 1.0s · $0.000 · 253 tok
question
Work strictly in base 11. Multiply the base-11 numbers 33 and 75. 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: 2244
correctmath.chained.pipeline-v1conf 100% · 1.8s · $0.000 · 192 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 83 × 43.
Step 2: Q = P × 9 − 621.
Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 10500
correctmath.algebra.system-v2conf 100% · 3.2s · $0.000 · 429 tok
question
Solve the system, then answer the derived question.

6x + 8y = -192
5x − 6y = 334

What is the value of 2x − 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: 235
correctmath.percent.chain-v2conf 100% · 2.2s · $0.000 · 482 tok
question
An inventory starts at 21000 units. The delivery van has a 87-liter fuel tank. In the first month the inventory grows by 35%. The warehouse was painted 27 years ago. The next month it shrinks by 30%, and the month after it grows by 41%. 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: 27981.45
correctmath.counterfactual.base-v1anchorconf 100% · 930ms · $0.000 · 780 tok
model answer: 11236
correctmath.chained.pipeline-v1conf 100% · 1.9s · $0.000 · 224 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 85 × 59.
Step 2: Q = P × 3 − 590.
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: 1813
wrongmath.percent.chain-v2anchorconf 100% · 1.5s · $0.000 · 14 tok
model answer: 43000
correctmath.arith.chain-v2anchorconf 100% · 915ms · $0.000 · 335 tok
model answer: 108153
correctmath.algebra.system-v2anchorconf 100% · 1.5s · $0.000 · 224 tok
model answer: 87
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 4.0s · $0.000 · 46 tok
question
A number is written in French: « sept cent trente-trois ». Another is written in Spanish: « novecientos treinta y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1668
correctmultilingual.wordnum-v1conf 100% · 188ms · $0.000 · 13 tok
question
A number is written in French: « quatre-vingt-onze ». Another is written in Spanish: « doscientos quince ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -124
correctmultilingual.numword-v2conf 100% · 479ms · $0.000 · 36 tok
question
Compute 112 + 318, 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 treinta
correctmultilingual.wordnum-v1conf 100% · 975ms · $0.000 · 319 tok
question
A number is written in French: « huit cent cinquante-six ». Another is written in Spanish: « setecientos treinta y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 118
correctmultilingual.numword-v2conf 100% · 331ms · $0.000 · 45 tok
question
Compute 112 + 187, 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 quatre-vingt-dix-neuf
correctmultilingual.numword-v2conf 100% · 1.7s · $0.000 · 268 tok
question
Compute 136 + 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: deux cent soixante-seize
correctmultilingual.numword-v2conf 100% · 3.0s · $0.000 · 420 tok
question
Compute 154 + 360, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent quatorze
correctmultilingual.numword-v2conf 100% · 2.0s · $0.000 · 269 tok
question
Compute 471 + 78, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent quarante-neuf
correctmultilingual.wordnum-v1conf 100% · 943ms · $0.000 · 244 tok
question
A number is written in French: « six cent quatre-vingt-trois ». Another is written in Spanish: « setecientos setenta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1457
correctmultilingual.wordnum-v1conf 100% · 125ms · $0.000 · 13 tok
question
A number is written in French: « cinq cent quarante ». Another is written in Spanish: « cuatrocientos 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: 949
correctmultilingual.wordnum-v1conf 100% · 556ms · $0.000 · 388 tok
question
A number is written in French: « quatre cent quarante ». Another is written in Spanish: « novecientos ochenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1426
correctmultilingual.numword-v2conf 100% · 268ms · $0.000 · 38 tok
question
Compute 400 + 188, 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 ochenta y ocho
correctmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 13 tok
question
A number is written in French: « soixante-neuf ». Another is written in Spanish: « seiscientos veintiséis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 695
correctmultilingual.numword-v2conf 100% · 406ms · $0.000 · 79 tok
question
Compute 457 + 352, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos nueve
correctmultilingual.wordnum-v1conf 100% · 409ms · $0.000 · 115 tok
question
A number is written in French: « quatre cent cinquante et un ». Another is written in Spanish: « cincuenta y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 393
correctmultilingual.wordnum-v1conf 100% · 3.1s · $0.000 · 247 tok
question
A number is written in French: « deux cent cinquante-huit ». Another is written in Spanish: « cuatrocientos cuarenta 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: 703
correctmultilingual.numword-v2conf 100% · 183ms · $0.000 · 37 tok
question
Compute 157 + 294, 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 cincuenta y uno
correctmultilingual.numword-v2conf 100% · 108ms · $0.000 · 37 tok
question
Compute 292 + 183, 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-quinze
correctmultilingual.wordnum-v1conf 100% · 190ms · $0.000 · 13 tok
question
A number is written in French: « six cent sept ». Another is written in Spanish: « trescientos 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: 954
correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 125 tok
question
Compute 245 + 430, 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 setenta y cinco
correctmultilingual.wordnum-v1conf 100% · 95ms · $0.000 · 13 tok
question
A number is written in French: « quatre cent quarante-sept ». Another is written in Spanish: « cuarenta 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: 490
correctmultilingual.wordnum-v1conf 100% · 1.2s · $0.000 · 99 tok
question
A number is written in French: « trois cent quarante-sept ». Another is written in Spanish: « quinientos cincuenta y uno ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -204
correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 159 tok
question
Compute 460 + 312, 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 soixante-douze
correctmultilingual.numword-v2anchorconf 100% · 6.3s · $0.000 · 220 tok
model answer: seiscientos ocho
correctmultilingual.numword-v2conf 100% · 174ms · $0.000 · 39 tok
question
Compute 212 + 315, 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 veintisiete
correctmultilingual.wordnum-v1anchorconf 100% · 1.4s · $0.000 · 314 tok
model answer: 150
correctmultilingual.wordnum-v1conf 100% · 112ms · $0.000 · 56 tok
question
A number is written in French: « cent trente-deux ». Another is written in Spanish: « quinientos dieciocho ». 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: 650
correctmultilingual.numword-v2conf 100% · 468ms · $0.000 · 256 tok
question
Compute 278 + 400, 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 soixante-dix-huit
correctmultilingual.numword-v2anchorconf 100% · 1.7s · $0.000 · 244 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 142ms · $0.000 · 13 tok
model answer: 762
reasoning 29/30 correct
correctreasoning.deduction.position-v1conf 100% · 2.3s · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Priya is number 1 in the queue. Ola is directly ahead of Goran. Goran is directly ahead of Dara. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.order-v2conf 100% · 585ms · $0.000 · 183 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Bruno. Bruno is taller than Ola. Rosa is taller than Tessa. Jonas is taller than Priya. Goran is taller than Rosa. Goran is taller than Bruno. Hana is older than everyone here, but Hana is not being ranked. Tessa is taller than Ola. Tessa is taller than Jonas. Priya is taller than Ola. 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: Priya
correctreasoning.deduction.order-v2conf 100% · 1.2s · $0.000 · 733 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Dara. Emil is heavier than Goran. Goran is heavier than Ines. Priya is taller than everyone here, but Priya is not being ranked. Nadir is heavier than Liam. Jonas is heavier than Goran. Emil is heavier than Jonas. Goran is heavier than Liam. Ines is heavier than Nadir. Jonas is heavier than Dara. 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: Jonas
correctreasoning.deduction.position-v1conf 100% · 2.8s · $0.000 · 278 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 4 in the queue. Dara is directly ahead of Emil. Tessa is directly ahead of Dara. Emil is directly ahead of Mona. 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: Dara
correctreasoning.deduction.position-v1conf 100% · 1.6s · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Ines. Tessa is directly ahead of Chen. Chen is directly ahead of Sami. Ines is number 4 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 2.4s · $0.000 · 339 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Kira is taller than Farah. Kira is taller than Ines. Bruno is taller than Jonas. Bruno is taller than Ines. Ines is taller than Jonas. Hana is heavier than everyone here, but Hana is not being ranked. Bruno is taller than Kira. Farah is taller than Ines. Nadir is taller than Goran. Goran is taller than Bruno. 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: Goran
correctreasoning.deduction.position-v1conf 100% · 2.7s · $0.000 · 254 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Chen. Chen is directly ahead of Alice. Alice is number 3 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.order-v2conf 100% · 1.6s · $0.000 · 349 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Ines. Farah is older than Ola. Sami is older than Ola. Farah is older than Chen. Nadir is faster than everyone here, but Nadir is not being ranked. Chen is older than Goran. Ines is older than Sami. Ines is older than Farah. Dara is older than Goran. Goran is older than Sami. 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.order-v2conf 100% · 2.4s · $0.000 · 541 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Goran is heavier than Priya. Bruno is taller than everyone here, but Bruno is not being ranked. Priya is heavier than Quinn. Quinn is heavier than Kira. Tessa is heavier than Jonas. Kira is heavier than Jonas. Priya is heavier than Kira. Chen is heavier than Goran. Kira is heavier than Tessa. Goran is heavier than Jonas. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 100% · 1.5s · $0.000 · 128 tok
question
Four people stand in a queue (number 1 is the front). Ola is number 1 in the queue. Bruno is directly ahead of Emil. Goran is directly ahead of Bruno. 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: Goran
correctreasoning.deduction.order-v2conf 100% · 2.4s · $0.000 · 587 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Goran is heavier than Nadir. Farah is heavier than Tessa. Sami is heavier than Tessa. Mona is faster than everyone here, but Mona is not being ranked. Nadir is heavier than Jonas. Ines is heavier than Sami. Tessa is heavier than Jonas. Farah is heavier than Ines. Farah is heavier than Tessa. Nadir is heavier 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: Sami
correctreasoning.deduction.position-v1conf 100% · 103ms · $0.000 · 75 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Alice. Alice is number 4 in the queue. Rosa is directly ahead of Nadir. Chen is directly ahead of Rosa. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 10.1s · $0.000 · 231 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 2 in the queue. Priya is directly ahead of Chen. Emil is directly ahead of Hana. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.order-v2conf 100% · 5.8s · $0.000 · 526 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Tessa. Goran is faster than Priya. Goran is faster than Emil. Emil is faster than Ines. Bruno is heavier than everyone here, but Bruno is not being ranked. Nadir is faster than Emil. Tessa is faster than Nadir. Goran is faster than Emil. Jonas is faster than Nadir. Tessa is faster than Jonas. 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
correctreasoning.deduction.order-v2conf 100% · 6.3s · $0.000 · 502 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Emil is taller than Nadir. Nadir is taller than Ines. Dara is faster than everyone here, but Dara is not being ranked. Hana is taller than Emil. Hana is taller than Ines. Priya is taller than Hana. Emil is taller than Ines. Ines is taller than Chen. Alice is taller than Priya. Alice is taller than Emil. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.position-v1conf 100% · 1.4s · $0.000 · 275 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 2 in the queue. Chen is directly ahead of Goran. Priya is directly ahead of Mona. 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: Chen
correctreasoning.deduction.order-v2conf 100% · 261ms · $0.000 · 134 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Chen is faster than everyone here, but Chen is not being ranked. Jonas is older than Hana. Alice is older than Ines. Ines is older than Jonas. Ines is older than Hana. Sami is older than Kira. Priya is older than Alice. Ines is older than Hana. Kira is older than Alice. Kira is older 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
correctreasoning.deduction.position-v1conf 100% · 440ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Mona. Mona is directly ahead of Dara. Goran is number 1 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Goran
correctreasoning.deduction.order-v2conf 100% · 1.8s · $0.000 · 848 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Emil is taller than Nadir. Goran is faster than everyone here, but Goran is not being ranked. Nadir is taller than Ines. Quinn is taller than Sami. Quinn is taller than Sami. Nadir is taller than Hana. Ola is taller than Quinn. Hana is taller than Sami. Quinn is taller than Emil. Ines is taller than Hana. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
correctreasoning.deduction.position-v1conf 100% · 2.2s · $0.000 · 229 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Farah. Quinn is number 4 in the queue. Tessa is directly ahead of Sami. Farah 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: Tessa
correctreasoning.deduction.position-v1conf 100% · 2.2s · $0.000 · 227 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Alice. Liam is directly ahead of Ola. Alice is number 2 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.order-v2conf 100% · 472ms · $0.000 · 1076 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Priya. Emil is older than Goran. Priya is older than Alice. Quinn is older than Bruno. Bruno is older than Emil. Quinn is older than Emil. Alice is older than Goran. Emil is older than Alice. Ines is older than Quinn. Mona is heavier than everyone here, but Mona is not being ranked. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
wrongreasoning.deduction.position-v1conf 100% · 3.8s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Liam. Nadir is number 1 in the queue. Liam is directly ahead of Ola. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.order-v2conf 100% · 2.9s · $0.000 · 676 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Ines. Nadir is taller than everyone here, but Nadir is not being ranked. Tessa is older than Mona. Goran is older than Mona. Mona is older than Farah. Goran is older than Hana. Farah is older than Rosa. Goran is older than Ines. Ines is older than Tessa. Ines is older than Farah. 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% · 1.8s · $0.000 · 460 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 1 in the queue. Tessa is directly ahead of Liam. Liam is directly ahead of Alice. 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: Liam
correctreasoning.deduction.order-v2conf 100% · 1.3s · $0.000 · 947 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is taller than everyone here, but Dara is not being ranked. Ola is faster than Nadir. Nadir is faster than Liam. Nadir is faster than Mona. Liam is faster than Alice. Nadir is faster than Priya. Alice is faster than Quinn. Quinn is faster than Priya. Mona is faster than Priya. Quinn is faster than Mona. 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: Nadir
correctreasoning.deduction.order-v2anchorconf 100% · 160ms · $0.000 · 232 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 401ms · $0.000 · 388 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 100% · 597ms · $0.000 · 636 tok
model answer: Mona
correctreasoning.deduction.position-v1anchorconf 100% · 387ms · $0.000 · 349 tok
model answer: Farah
terminal 17/30 correct
correctterminal.exit.chain-v1conf 100% · 3.2s · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E Z exit:0
correctterminal.fs.tree-v1conf 100% · 1.6s · $0.000 · 695 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/assets`):

```
/proj/docs/util.log
/proj/notes.md
/proj/report.md
/proj/src/draft.txt
/proj/src/setup.md
```

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

```sh
touch assets/index-6.txt
touch docs/main-7.log
mkdir -p assets/conf-3
rm report.md
touch util-8.cfg
touch report-9.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/index-6.txt /proj/docs/main-7.log /proj/docs/util.log /proj/notes.md /proj/report-9.txt /proj/src/draft.txt /proj/src/setup.md /proj/util-8.cfg
wrongterminal.exit.chain-v1conf 100% · 4.0s · $0.000 · 618 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q basil notes.txt && echo A || echo B
true && echo C || echo D
grep -q basil 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: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 464ms · $0.000 · 20 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,eng,50,52
gus,hr,81,86
cy,sales,83,12
max,ops,25,76
lou,legal,72,92
ivy,legal,101,48
kim,sales,23,25
ned,sales,50,22
ana,sales,52,57
pam,hr,80,35
bo,ops,24,34
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf 100% · 1.5s · $0.000 · 884 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/assets`, `/proj/docs`):

```
/proj/assets/notes.log
/proj/assets/report.txt
/proj/docs/main.md
/proj/draft.log
/proj/todo.md
```

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

```sh
mv todo.md notes-2.md
mkdir -p docs/assets-5
rm notes-2.md
touch build/report-8.md
mkdir -p docs/assets-5/docs-2
rm assets/report.txt
rm build/report-8.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 100% · 2.5s · $0.000 · 637 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 data.txt && echo C || echo D
true && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E exit:1
correctterminal.pipeline.predict-v1conf 100% · 1.2s · $0.000 · 435 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,legal,108,18
ivy,ops,42,26
kim,sales,53,94
ned,eng,82,58
pam,ops,51,29
oli,ops,77,86
max,eng,37,41
dev,legal,81,63
lou,legal,61,40
hal,hr,62,25
gus,legal,64,15
cy,eng,13,18
fay,sales,20,75
eli,hr,83,40
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cy,13 max,37 ned,82
correctterminal.fs.tree-v1conf 100% · 3.8s · $0.000 · 1111 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/docs`):

```
/proj/build/report.cfg
/proj/build/todo.log
/proj/draft.cfg
/proj/logs/setup.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
rm logs/setup.cfg
cd .
cp build/todo.log logs/
mkdir -p docs/conf-9
touch build/index-4.txt
cp build/index-4.txt ./
mv index-4.txt report-9.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-4.txt /proj/build/report.cfg /proj/build/todo.log /proj/draft.cfg /proj/logs/todo.log /proj/notes.md /proj/report-9.cfg
wrongterminal.fs.tree-v1conf 100% · 3.8s · $0.000 · 54 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/docs`, `/proj/build`):

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

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

```sh
touch build/util-6.md
cp draft.md build/
cp build/draft.md ./
cd conf
mv ../../proj/build/draft.md ../../proj/build/index-7.log
mv notes.txt ../../proj/docs/
cp ../../proj/build/util-6.md ../../proj/docs/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/index-7.log /proj/build/report.cfg /proj/conf/notes.txt /proj/docs/todo.md /proj/draft.md /proj/main.md
wrongterminal.pipeline.predict-v1conf 100% · 547ms · $0.000 · 424 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,eng,84,72
cy,eng,117,91
ivy,hr,46,39
eli,eng,45,54
jon,legal,56,50
gus,sales,111,59
hal,hr,44,98
pam,legal,102,43
kim,hr,54,92
fay,eng,23,88
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 100% · 1.3s · $0.000 · 733 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F exit:1
correctterminal.exit.chain-v1conf 100% · 7.8s · $0.000 · 515 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F H exit:1
wrongterminal.fs.tree-v1conf 100% · 1.7s · $0.001 · 1723 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/logs`):

```
/proj/docs/draft.log
/proj/index.cfg
/proj/logs/main.md
/proj/logs/report.txt
/proj/notes.cfg
```

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

```sh
mkdir -p logs/assets-8
cd docs
rm ../../proj/index.cfg
cd ../../proj/logs
mkdir -p assets-8/src-1
cd assets-8/src-1
mv ../../../../proj/docs/draft.log ../../../../proj/
cd .
cp ../../../../proj/logs/report.txt ../../../../proj/conf/
rm ../../../../proj/logs/report.txt
cd ../../../../proj/conf
touch ../../proj/docs/notes-5.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 100% · 1.6s · $0.000 · 1341 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/util.cfg
/proj/conf/setup.txt
/proj/conf/todo.cfg
/proj/draft.md
/proj/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
mv main.txt report-6.md
mv draft.md conf/
mkdir -p conf/conf-7
mkdir -p conf/docs-6
cp conf/draft.md build/
cd conf
cp setup.txt conf-7/
mkdir -p conf-7/build-5
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft.md /proj/build/util.cfg /proj/conf/conf-7/setup.txt /proj/conf/draft.md /proj/conf/setup.txt /proj/conf/todo.cfg /proj/report-6.md
wrongterminal.pipeline.predict-v1conf 100% · 459ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,hr,44,79
eli,ops,92,44
cy,sales,43,11
jon,eng,32,92
ned,sales,43,70
ana,sales,58,86
bo,ops,48,31
kim,legal,38,84
dev,sales,64,40
hal,ops,100,86
oli,legal,87,44
gus,ops,94,37
max,hr,95,47
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 69 { 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.pipeline.predict-v1conf 100% · 1.8s · $0.000 · 454 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,sales,44,74
fay,hr,87,58
ana,legal,84,51
lou,sales,10,16
pam,legal,18,59
cy,legal,18,41
jon,hr,31,90
max,eng,78,46
ned,legal,106,24
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf 100% · 109ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 100% · 10.0s · $0.001 · 1679 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/src`):

```
/proj/conf/report.md
/proj/conf/setup.log
/proj/draft.txt
/proj/index.log
/proj/src/util.md
```

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

```sh
touch util-1.md
cp conf/setup.log ./
touch conf/main-9.cfg
touch src/notes-9.cfg
mkdir -p docs-4
rm util-1.md
cd assets
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/main-9.cfg /proj/conf/report.md /proj/conf/setup.log /proj/draft.txt /proj/index.log /proj/setup.log /proj/src/notes-9.cfg /proj/src/util.md
correctterminal.pipeline.predict-v1conf 100% · 1.9s · $0.000 · 383 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,ops,18,43
bo,legal,31,73
ned,hr,110,23
cy,eng,9,41
oli,hr,28,60
lou,ops,33,86
ivy,hr,68,73
jon,eng,8,12
dev,legal,69,30
fay,ops,83,17
gus,sales,44,39
max,ops,61,27
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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: 195
correctterminal.exit.chain-v1conf 100% · 797ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F H Z exit:0
correctterminal.exit.chain-v1conf 100% · 1.5s · $0.000 · 618 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F H Z exit:0
wrongterminal.pipeline.predict-v1conf 100% · 192ms · $0.000 · 12 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,sales,119,26
ana,hr,14,77
bo,ops,44,51
ned,eng,100,87
dev,eng,39,23
jon,legal,63,28
pam,eng,95,41
cy,sales,103,83
max,hr,41,47
lou,eng,58,31
gus,legal,26,24
fay,sales,90,34
eli,sales,77,44
ivy,hr,120,88
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 62 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 100% · 426ms · $0.000 · 1038 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/logs`, `/proj/build`):

```
/proj/docs/report.txt
/proj/draft.txt
/proj/logs/todo.cfg
/proj/logs/util.cfg
/proj/setup.log
```

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

```sh
mv setup.log logs/
cd logs
mv ../../proj/draft.txt ../../proj/
cd .
touch ../../proj/build/index-2.cfg
rm ../../proj/draft.txt
touch draft-4.log
rm setup.log
cd ../../proj/build
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/index-2.cfg /proj/docs/report.txt /proj/logs/draft-4.log /proj/logs/todo.cfg /proj/logs/util.cfg
wrongterminal.exit.chain-v1conf 100% · 3.1s · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q amber notes.txt && echo A || echo B
grep -q dune notes.txt && echo C || echo D
grep -q basil notes.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 E G exit:0
correctterminal.fs.tree-v1conf 100% · 1.8s · $0.000 · 1136 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/assets`, `/proj/build`):

```
/proj/assets/util.txt
/proj/build/setup.txt
/proj/index.md
/proj/report.log
/proj/src/main.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/util.txt
cd src
cp main.log ../../proj/build/
rm ../../proj/index.md
cd ../../proj
mv build/main.log build/report-5.txt
cp src/main.log assets/
cd .
mv build/report-5.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/main.log /proj/build/setup.txt /proj/report-5.txt /proj/report.log /proj/src/main.log
correctterminal.pipeline.predict-v1conf 100% · 403ms · $0.000 · 560 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,sales,111,71
max,eng,51,22
cy,sales,67,96
fay,sales,43,46
ivy,sales,98,30
hal,legal,18,77
gus,ops,7,15
pam,sales,68,82
ned,eng,40,31
jon,hr,4,30
ana,sales,39,92
oli,ops,59,15
eli,hr,68,57
kim,legal,94,20
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: pam,sales,68,82 ivy,sales,98,30 lou,sales,111,71
wrongterminal.pipeline.predict-v1anchorconf 100% · 10.0s · $0.000 · 393 tok
model answer: (none extracted)
wrongterminal.pipeline.predict-v1anchorconf 100% · 1.1s · $0.000 · 36 tok
model answer: oli,eng,40,31 max,eng,43,64 dev,eng,81,95
correctterminal.fs.tree-v1anchorconf 100% · 983ms · $0.000 · 1273 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
correctterminal.exit.chain-v1anchorconf 100% · 2.2s · $0.000 · 23 tok
model answer: B D E G exit:1

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