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AionLabs: Aion-3.0

aion-labs/aion-3.0 · aion-labs · context 131 072 · in $3.00/1M · out $6.00/1M

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826

95% CI [772880] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic900 [810990]
0.8460.951.000.000646ms$13.96
knowledge730 [594865]
0.5540.981.000.000617ms$0.991
multilingual821 [695948]
0.7090.980.980.000539ms$1.66
terminal853 [783924]
0.8371.000.950.059531ms$6.70

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agentic 57/60 correct
correctagentic.tools.context-load-v1conf 100% · 678ms · $0.047 · 5821 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 (254 records, format: id|customer|region|item|qty|status):
```
2025|harbor|west|frame|15|pending
1489|harbor|west|gasket|24|held
2113|cobalt|south|frame|74|paid
1271|gale|south|pump|96|held
1274|juno|west|pump|85|shipped
1662|fulton|north|cable|93|paid
1413|juno|west|rotor|10|paid
1361|acme|east|panel|61|held
1707|gale|north|cable|54|paid
1678|birch|west|frame|21|held
1745|harbor|east|panel|25|shipped
1831|ember|west|valve|71|shipped
1904|juno|east|pump|26|held
2022|ionic|west|pump|23|pending
1396|cobalt|west|valve|52|shipped
2100|cobalt|east|rotor|78|held
1579|dorian|north|rotor|71|pending
1301|harbor|east|panel|72|held
1916|cobalt|south|valve|20|shipped
2130|dorian|east|frame|89|held
1393|gale|west|gasket|45|pending
2098|juno|south|frame|41|shipped
1202|fulton|north|gasket|85|held
2099|dorian|north|gasket|73|pending
1500|ember|west|frame|48|paid
1219|fulton|south|sensor|33|pending
1652|fulton|east|gasket|51|held
1417|cobalt|south|frame|36|pending
1193|fulton|north|frame|49|pending
2136|fulton|east|sensor|39|paid
1862|cobalt|north|panel|32|paid
1462|ionic|west|rotor|36|pending
1368|fulton|west|pump|15|held
1974|birch|south|valve|90|paid
1527|ionic|east|valve|62|paid
1377|harbor|north|panel|17|shipped
1536|ember|east|sensor|85|paid
1950|acme|north|pump|72|pending
1997|dorian|east|valve|89|pending
1697|cobalt|north|pump|66|shipped
1967|fulton|west|panel|22|pending
1345|ember|east|frame|66|shipped
1638|dorian|west|panel|17|held
2169|ionic|north|frame|33|paid
1589|cobalt|north|cable|11|held
1570|harbor|north|rotor|28|paid
1911|acme|south|frame|74|held
1440|fulton|south|pump|98|pending
1291|birch|south|cable|94|pending
2049|fulton|north|panel|75|paid
1643|juno|east|rotor|91|pending
1825|acme|south|pump|77|held
1591|acme|east|cable|15|paid
1990|gale|south|pump|47|pending
1263|gale|north|frame|95|held
1469|fulton|south|frame|16|pending
1808|ember|west|pump|69|pending
1709|harbor|south|cable|23|paid
1312|acme|south|sensor|94|pending
1822|harbor|south|cable|57|shipped
1703|cobalt|south|pump|75|shipped
1415|fulton|north|panel|10|held
1382|cobalt|east|cable|34|pending
2120|cobalt|north|panel|36|shipped
1951|dorian|west|sensor|86|pending
1480|fulton|east|pump|58|paid
2157|gale|west|sensor|40|shipped
2009|dorian|south|frame|12|shipped
1205|fulton|north|frame|33|pending
2029|harbor|south|frame|90|shipped
2123|juno|south|valve|28|pending
1788|harbor|north|cable|70|paid
1247|cobalt|south|sensor|40|paid
2142|birch|west|rotor|60|held
1854|acme|east|rotor|25|paid
1889|birch|north|frame|69|paid
1750|harbor|north|frame|39|pending
1497|ember|north|valve|34|paid
1924|harbor|south|panel|37|paid
1987|birch|west|panel|32|held
1322|dorian|north|pump|83|paid
2054|ionic|east|cable|12|paid
1388|dorian|west|valve|66|held
1784|cobalt|south|sensor|52|held
2124|ionic|south|panel|64|pending
1355|gale|east|cable|54|shipped
1728|birch|north|gasket|42|held
1736|birch|north|pump|16|held
1716|harbor|north|pump|36|shipped
1735|ionic|west|pump|28|shipped
1611|juno|west|sensor|59|held
1690|juno|west|pump|18|pending
1659|gale|south|rotor|15|held
1943|cobalt|north|frame|44|paid
1705|gale|south|valve|57|shipped
1671|birch|west|sensor|30|pending
1215|fulton|north|frame|18|pending
1874|birch|south|panel|30|shipped
1782|harbor|south|rotor|31|paid
1884|harbor|east|pump|70|shipped
1599|acme|south|valve|75|paid
1762|dorian|west|frame|85|held
1258|acme|north|frame|13|held
1573|juno|west|valve|11|paid
2162|cobalt|south|panel|56|pending
1353|cobalt|east|panel|46|shipped
1451|birch|north|valve|95|held
1457|acme|south|panel|99|paid
1945|gale|east|pump|61|pending
1308|dorian|east|panel|69|held
1994|ionic|north|gasket|78|held
1229|acme|east|sensor|76|shipped
2086|harbor|east|panel|17|shipped
1551|ionic|south|valve|13|held
1850|cobalt|north|panel|95|paid
1597|ionic|north|frame|72|held
1603|fulton|east|cable|73|paid
1766|acme|west|sensor|89|paid
2147|birch|north|gasket|41|pending
1837|harbor|west|panel|54|paid
1581|birch|north|frame|94|held
1564|acme|east|valve|93|pending
1663|ionic|south|pump|57|pending
1565|dorian|north|gasket|16|shipped
1503|dorian|north|cable|37|shipped
1528|gale|east|pump|84|shipped
2107|fulton|east|rotor|71|pending
2103|ember|west|pump|27|paid
1245|gale|south|cable|82|shipped
2081|dorian|east|sensor|64|held
1238|dorian|south|pump|34|pending
1795|cobalt|south|valve|40|held
1514|dorian|west|panel|30|paid
1841|birch|west|rotor|67|paid
2156|cobalt|west|cable|98|shipped
1534|ember|east|gasket|57|shipped
2063|birch|west|sensor|50|held
1966|dorian|south|rotor|54|pending
1318|dorian|south|frame|95|shipped
1584|birch|north|gasket|14|pending
1424|acme|south|valve|98|held
2152|gale|west|rotor|19|shipped
2177|acme|north|panel|57|held
1407|gale|east|valve|34|paid
1596|gale|west|gasket|19|pending
1337|acme|south|sensor|13|shipped
1863|birch|north|panel|35|paid
1268|cobalt|east|sensor|37|paid
1501|gale|north|rotor|99|shipped
2125|juno|north|rotor|71|shipped
1817|ember|north|gasket|85|pending
1954|ember|south|rotor|59|shipped
2008|acme|west|cable|80|shipped
1221|fulton|north|gasket|47|paid
1435|dorian|west|pump|60|shipped
1333|harbor|south|pump|42|held
2088|ionic|west|frame|38|shipped
1376|acme|north|valve|84|paid
1607|fulton|east|frame|47|held
1496|harbor|south|sensor|45|shipped
2001|birch|north|pump|85|paid
1341|fulton|east|panel|31|paid
1857|acme|south|valve|80|pending
1961|harbor|west|valve|20|paid
2068|ember|south|frame|77|pending
1665|ionic|east|rotor|76|pending
1617|harbor|south|sensor|88|pending
2036|cobalt|east|gasket|83|paid
1628|acme|south|rotor|98|paid
1280|ember|east|panel|47|paid
2108|birch|north|frame|62|pending
2059|harbor|east|panel|66|held
1631|harbor|east|gasket|43|shipped
1653|birch|west|cable|44|paid
2037|cobalt|west|cable|58|pending
1576|gale|east|sensor|78|paid
1224|fulton|east|panel|19|paid
1755|cobalt|east|cable|22|held
1779|acme|west|pump|56|pending
1623|cobalt|north|sensor|87|held
1661|juno|south|frame|65|shipped
2127|ionic|north|rotor|71|pending
1428|dorian|north|sensor|42|held
1416|ember|north|pump|15|paid
1993|juno|west|pump|28|held
1981|dorian|west|cable|52|pending
1794|juno|east|rotor|53|pending
1199|fulton|east|pump|29|pending
1244|juno|west|sensor|94|paid
2092|ionic|north|cable|80|shipped
1957|harbor|north|panel|53|pending
1521|gale|west|rotor|81|pending
1207|fulton|west|panel|62|pending
1310|juno|west|gasket|20|shipped
2016|birch|east|rotor|96|pending
1447|acme|south|panel|72|paid
1233|dorian|west|sensor|27|held
1647|birch|west|cable|96|pending
1327|ionic|west|panel|62|pending
1210|fulton|north|rotor|18|held
1484|ember|south|gasket|82|held
2096|cobalt|south|valve|38|paid
1721|juno|south|rotor|82|held
2064|birch|west|cable|15|paid
1567|harbor|west|pump|69|held
1252|fulton|west|gasket|45|shipped
1223|ionic|west|cable|77|shipped
2075|ionic|south|rotor|86|held
1557|fulton|west|valve|12|paid
1508|gale|east|cable|85|shipped
2109|acme|north|sensor|52|held
2110|juno|north|pump|16|held
1741|gale|south|gasket|72|pending
2031|harbor|north|frame|68|paid
1815|gale|south|sensor|86|held
1894|birch|east|panel|51|held
1542|fulton|east|gasket|22|paid
1687|birch|west|frame|84|paid
1347|dorian|west|cable|84|shipped
1848|cobalt|north|panel|97|paid
1285|fulton|west|pump|23|paid
2089|ember|west|rotor|48|paid
1711|juno|south|frame|92|shipped
1400|cobalt|east|valve|42|shipped
1433|juno|east|panel|56|held
1402|ember|south|cable|71|paid
1513|dorian|north|pump|48|held
2164|dorian|north|frame|51|paid
1675|ember|north|gasket|99|paid
1544|juno|north|rotor|99|held
1936|fulton|south|sensor|48|held
1921|harbor|east|valve|63|pending
1801|dorian|north|pump|34|held
1316|ionic|east|rotor|54|shipped
1476|harbor|west|cable|39|shipped
1881|ember|north|frame|98|held
1348|harbor|east|rotor|46|held
1932|dorian|north|gasket|46|paid
1772|fulton|south|valve|44|held
1867|juno|west|frame|37|shipped
1294|acme|north|sensor|10|pending
1375|gale|north|rotor|59|shipped
1677|cobalt|east|pump|58|paid
2118|gale|south|rotor|23|held
1776|birch|south|pump|26|held
2173|juno|north|sensor|87|pending
1267|birch|west|sensor|84|pending
1486|gale|north|panel|95|held
1898|dorian|east|panel|37|paid
1928|harbor|north|frame|31|held
2042|dorian|south|panel|48|held
1612|birch|west|gasket|49|shipped
1683|birch|south|gasket|16|shipped
1296|fulton|south|rotor|25|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "restock", "args": {"item": "frame", "qty": 49}}, {"tool": "cancel_order", "args": {"order_id": 1205}}, {"tool": "cancel_order", "args": {"order_id": 1215}} ]
correctagentic.tools.ledger-v1conf 100% · 536ms · $0.010 · 1476 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: $172
- bravo: $504
- echo: $744

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $300 from "lima" to "bravo"
2. pay $267 from "bravo" to "echo"
3. pay $290 from "echo" to "lima"
4. pay $382 from "echo" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 128}}, {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 300}}, {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 267}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 290}}, {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 382}} ]
correctagentic.tools.triage-v1conf 100% · 591ms · $0.011 · 1521 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → rivera
- auth → haddad
- payments → silva

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 7)
2. "locked out after 2FA change" (category: auth, priority 5)
3. "refund double-charged" (category: payments, priority 2)
4. "locked out after 2FA change" (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": "uploads failing intermittently", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.ledger-v1conf 100% · 525ms · $0.016 · 2537 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $467
- kilo: $180
- bravo: $839

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $487 from "kilo" to "bravo"
2. pay $173 from "echo" to "bravo"
3. pay $242 from "echo" to "bravo"
4. pay $459 from "kilo" 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": "top_up_from_reserve", "args": {"account": "kilo", "amount": 307}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 487}}, {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 173}}, {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 242}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 459}}, {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 459}} ]
correctagentic.tools.deploy-v1conf 100% · 480ms · $0.005 · 720 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: reports, search
- reports: gateway
- search: gateway, reports
- gateway: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
correctagentic.tools.context-load-v1conf 100% · 631ms · $0.027 · 2761 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (215 records, format: id|customer|region|item|qty|status):
```
1588|gale|east|pump|56|held
1747|ember|north|valve|75|shipped
1607|juno|north|panel|39|held
2079|birch|south|rotor|40|paid
2096|fulton|east|panel|50|held
2049|dorian|north|valve|52|held
2246|cobalt|east|sensor|87|pending
2176|birch|west|cable|60|pending
1852|juno|west|valve|64|shipped
2199|ember|west|panel|56|shipped
1831|ionic|north|frame|64|pending
1722|birch|west|frame|72|paid
1989|ionic|south|valve|19|shipped
1761|birch|south|frame|25|pending
1763|acme|north|pump|23|held
2161|cobalt|west|pump|92|held
2083|birch|east|pump|23|pending
1681|gale|north|sensor|91|paid
2088|fulton|west|panel|71|paid
2153|fulton|east|rotor|60|shipped
2111|juno|west|pump|19|held
1960|birch|north|frame|92|shipped
2167|gale|west|cable|91|held
1727|ember|west|cable|49|paid
1979|juno|north|frame|10|held
1907|ionic|north|pump|35|shipped
1902|ionic|south|frame|33|shipped
1735|birch|north|rotor|78|paid
1955|gale|north|panel|32|pending
1565|fulton|west|sensor|82|pending
1494|gale|north|panel|19|pending
2006|juno|east|gasket|92|shipped
2159|gale|west|cable|81|held
1615|ionic|north|rotor|87|held
1563|birch|west|pump|31|pending
1515|acme|south|rotor|37|held
2157|ember|south|cable|24|paid
1929|dorian|south|gasket|14|paid
2021|cobalt|east|valve|38|held
1714|gale|west|cable|17|shipped
1622|acme|west|pump|95|paid
1586|harbor|south|valve|94|shipped
1853|juno|east|valve|54|pending
2219|gale|south|pump|65|held
1718|harbor|east|valve|37|shipped
1962|acme|west|cable|89|pending
1535|birch|south|cable|65|pending
1502|gale|south|panel|36|pending
1764|birch|south|panel|98|paid
1547|gale|south|rotor|24|pending
1481|gale|west|rotor|50|pending
2042|ionic|east|panel|17|paid
1919|gale|south|panel|37|held
2205|birch|north|rotor|80|paid
2050|birch|west|gasket|15|pending
2274|acme|south|rotor|42|pending
1931|juno|west|pump|16|shipped
1580|birch|north|pump|53|paid
1971|juno|east|gasket|47|paid
2016|fulton|west|pump|75|paid
2182|ember|south|rotor|41|paid
2273|ionic|north|panel|53|paid
1848|ember|north|frame|62|shipped
2240|juno|west|sensor|32|pending
1706|harbor|south|rotor|42|paid
2000|harbor|west|panel|67|held
1856|ember|north|frame|96|pending
1793|ember|east|panel|62|paid
1746|ember|west|valve|35|paid
2033|dorian|north|gasket|85|shipped
2234|gale|south|rotor|34|paid
1530|fulton|east|pump|12|paid
1779|ionic|north|frame|80|paid
1707|ionic|north|cable|85|pending
2047|juno|east|rotor|49|paid
1468|gale|west|rotor|74|pending
2052|fulton|south|gasket|87|shipped
1752|acme|south|panel|23|pending
1643|harbor|east|frame|50|held
1674|gale|east|rotor|82|held
1845|ionic|west|frame|42|paid
1937|harbor|west|valve|73|pending
2188|juno|west|valve|36|held
1578|juno|south|cable|51|shipped
2106|fulton|north|frame|19|paid
1807|cobalt|north|rotor|29|held
1482|gale|south|pump|13|pending
1487|gale|west|cable|58|shipped
2084|fulton|south|rotor|71|paid
2027|gale|north|pump|82|shipped
2248|fulton|east|valve|35|held
1542|gale|north|panel|71|shipped
1724|birch|south|sensor|26|held
1895|juno|south|sensor|81|paid
1892|dorian|east|gasket|33|shipped
2135|dorian|north|pump|13|held
1575|dorian|east|rotor|61|paid
1632|ember|south|rotor|21|pending
1695|acme|west|sensor|99|pending
2128|cobalt|east|frame|78|paid
1904|cobalt|east|panel|89|shipped
1602|ionic|east|panel|30|held
1795|birch|south|valve|51|pending
2198|dorian|west|cable|98|shipped
1512|dorian|west|frame|71|held
1826|ember|north|panel|28|held
1786|harbor|west|frame|41|held
1948|gale|north|valve|61|shipped
2147|juno|north|frame|27|pending
1667|acme|north|panel|60|shipped
2229|gale|east|frame|23|paid
1480|gale|west|sensor|24|held
1862|gale|west|pump|82|held
2028|dorian|east|cable|92|shipped
1678|juno|east|gasket|18|held
1601|acme|south|panel|73|paid
2171|dorian|north|valve|33|held
1742|birch|south|panel|10|shipped
1541|fulton|east|frame|57|pending
2012|juno|east|panel|12|pending
1926|harbor|north|panel|48|pending
1893|acme|north|frame|71|held
2003|ionic|east|frame|66|paid
1625|gale|north|frame|52|paid
1818|ember|east|rotor|30|shipped
1733|cobalt|north|valve|91|shipped
1879|dorian|east|panel|99|pending
2184|juno|west|rotor|79|held
2230|harbor|south|cable|37|paid
1617|dorian|east|sensor|27|shipped
1983|cobalt|north|frame|46|held
2255|ionic|east|sensor|25|pending
2119|dorian|north|valve|13|paid
1697|juno|north|pump|34|paid
1813|gale|west|valve|74|shipped
2140|juno|west|panel|13|pending
2037|acme|west|panel|77|held
1572|acme|west|panel|71|paid
1774|fulton|south|gasket|42|paid
2262|juno|north|cable|76|paid
1838|harbor|west|cable|15|pending
1940|ionic|west|panel|93|pending
1688|birch|east|cable|90|paid
1653|dorian|west|valve|78|pending
1521|harbor|east|sensor|58|paid
2091|juno|south|panel|37|shipped
2029|ember|west|gasket|11|pending
2196|dorian|south|rotor|73|shipped
1993|juno|east|panel|72|shipped
1660|birch|west|rotor|74|pending
1557|ember|east|sensor|74|held
1614|birch|east|cable|64|held
1649|gale|north|cable|57|paid
1496|gale|west|gasket|19|held
1846|ember|north|sensor|52|pending
1768|acme|south|gasket|29|held
1944|dorian|north|rotor|90|pending
2126|cobalt|north|panel|40|paid
1599|cobalt|east|pump|60|pending
2094|harbor|north|gasket|91|shipped
1950|cobalt|north|cable|27|pending
1672|dorian|west|gasket|52|paid
2100|gale|south|panel|30|pending
2213|birch|north|rotor|35|pending
1704|gale|north|panel|26|held
1920|dorian|south|sensor|39|held
2193|ionic|south|frame|62|held
1966|fulton|west|sensor|86|held
1576|cobalt|east|rotor|99|held
1558|ionic|north|pump|48|paid
1802|dorian|east|sensor|91|paid
2115|juno|west|gasket|40|pending
1969|dorian|north|cable|97|pending
1497|gale|west|rotor|66|pending
1820|acme|west|pump|62|held
2101|acme|south|pump|70|held
1914|birch|north|sensor|76|paid
1973|birch|east|pump|18|shipped
1767|gale|west|valve|36|paid
1686|ember|south|pump|72|held
1492|gale|west|valve|65|pending
1890|ember|east|gasket|83|held
1666|birch|east|rotor|60|shipped
2269|ember|east|frame|46|held
1635|acme|east|sensor|80|pending
1638|acme|west|cable|22|pending
2166|harbor|north|frame|39|shipped
1551|harbor|north|sensor|66|shipped
1988|gale|north|sensor|53|held
2256|fulton|north|sensor|48|shipped
1754|birch|west|cable|47|held
1505|gale|west|frame|98|shipped
1671|juno|south|frame|49|held
1741|ionic|west|frame|43|paid
2061|birch|south|pump|89|pending
2059|birch|north|rotor|77|shipped
1594|ember|south|gasket|94|paid
1981|fulton|west|frame|93|paid
1865|gale|west|pump|77|shipped
1869|harbor|west|sensor|65|paid
2068|harbor|south|rotor|56|held
1876|cobalt|west|gasket|41|held
2209|birch|west|frame|89|paid
2190|harbor|west|valve|84|paid
1528|harbor|south|gasket|53|pending
1968|cobalt|north|rotor|45|paid
1473|gale|south|frame|86|pending
2222|dorian|west|panel|29|paid
1595|cobalt|north|pump|69|held
2073|ember|west|panel|12|shipped
1883|ionic|east|panel|54|pending
2267|harbor|west|valve|31|held
2062|juno|west|frame|29|held
1777|gale|south|valve|19|pending
1749|ionic|south|panel|84|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "rotor", "qty": 74}}, {"tool": "restock", "args": {"item": "rotor", "qty": 50}}, {"tool": "restock", "args": {"item": "valve", "qty": 65}}, {"tool": "restock", "args": {"item": "rotor", "qty": 66}} ]
correctagentic.tools.triage-v1conf 100% · 466ms · $0.012 · 1763 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 2)
2. "dashboard shows stale numbers" (category: data, priority 9)
3. "SSO loop on login" (category: auth, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.deploy-v1conf 100% · 629ms · $0.006 · 788 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 100% · 774ms · $0.006 · 861 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: $540
- bravo: $657
- echo: $676

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $478 from "bravo" to "oscar"
2. pay $151 from "bravo" to "echo"
3. pay $106 from "oscar" to "echo"
4. pay $558 from "oscar" 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": "oscar", "amount": 478}}, {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 151}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 106}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 558}} ]
correctagentic.tools.triage-v1conf 100% · 678ms · $0.008 · 1067 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "API latency spikes" (category: infra, priority 3)
2. "records missing after import" (category: data, priority 4)
3. "records missing after import" (category: data, priority 4)
4. "webhooks not delivered" (category: infra, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}} ]
correctagentic.tools.context-load-v1conf 100% · 646ms · $0.019 · 1253 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 (241 records, format: id|customer|region|item|qty|status):
```
2137|cobalt|east|frame|81|shipped
1774|fulton|north|gasket|76|shipped
1462|cobalt|west|sensor|80|pending
1604|harbor|east|sensor|27|paid
1853|birch|north|pump|93|shipped
1221|ionic|north|frame|36|pending
1337|fulton|west|sensor|88|held
1697|ember|north|gasket|62|shipped
1638|juno|west|cable|31|paid
1222|ionic|south|rotor|34|shipped
1838|dorian|north|gasket|87|held
1571|cobalt|north|gasket|52|shipped
1808|fulton|west|rotor|83|shipped
2117|harbor|east|frame|57|held
1424|ionic|west|cable|88|pending
1308|gale|east|frame|19|held
1568|cobalt|north|sensor|58|shipped
1418|birch|south|pump|14|paid
1267|juno|east|sensor|69|held
1790|acme|south|valve|84|paid
1652|ember|west|frame|55|pending
1544|fulton|west|rotor|30|pending
1173|cobalt|east|gasket|26|pending
1366|ember|north|cable|52|held
1629|dorian|south|pump|22|shipped
1246|ember|east|frame|15|paid
1282|gale|north|rotor|97|paid
1307|cobalt|west|rotor|17|paid
1233|ionic|south|panel|37|shipped
1386|fulton|west|valve|46|held
2121|dorian|north|frame|83|held
1390|dorian|west|rotor|37|pending
1175|cobalt|north|valve|77|pending
2066|fulton|east|frame|92|shipped
2034|gale|north|sensor|73|paid
2058|cobalt|south|cable|89|pending
2088|acme|north|valve|55|pending
1502|dorian|north|cable|96|pending
1249|cobalt|north|panel|28|shipped
1259|birch|east|gasket|18|held
1449|birch|west|cable|40|paid
1944|gale|west|gasket|58|held
1992|acme|east|sensor|28|shipped
1915|ionic|east|rotor|93|held
1436|fulton|south|valve|61|pending
1681|ionic|south|pump|91|pending
1669|cobalt|west|cable|59|held
2035|cobalt|south|rotor|36|shipped
1818|dorian|south|frame|12|pending
1792|fulton|west|pump|10|held
1343|ember|south|cable|33|held
1639|gale|south|panel|85|paid
1707|cobalt|south|sensor|83|paid
1843|cobalt|west|sensor|91|pending
2113|ionic|north|valve|31|paid
1768|gale|north|gasket|68|paid
1798|cobalt|east|pump|95|paid
1327|birch|west|sensor|83|pending
1613|gale|north|rotor|90|shipped
2112|juno|west|cable|56|pending
1543|harbor|south|gasket|32|shipped
1884|birch|east|panel|43|shipped
1740|fulton|west|rotor|76|paid
1293|birch|east|pump|18|held
1951|fulton|west|gasket|28|pending
1210|cobalt|east|rotor|90|paid
2106|juno|east|cable|92|held
2070|juno|west|cable|39|shipped
2089|ember|north|valve|68|shipped
1509|ember|south|panel|91|held
1385|juno|south|sensor|60|pending
2010|harbor|east|gasket|17|pending
1298|acme|north|gasket|88|paid
1675|harbor|north|valve|12|paid
2003|ember|east|rotor|36|pending
1192|cobalt|west|rotor|87|pending
1786|ember|west|rotor|63|pending
2098|dorian|east|sensor|90|paid
1214|acme|west|panel|40|held
2135|cobalt|north|pump|95|paid
1481|birch|west|rotor|56|held
1228|ionic|south|pump|48|paid
2009|harbor|west|gasket|63|held
1964|birch|south|frame|66|pending
2023|harbor|south|rotor|66|pending
1815|harbor|east|pump|94|pending
1517|ionic|east|valve|46|shipped
1305|gale|south|valve|35|pending
1523|birch|south|panel|80|pending
1399|dorian|north|cable|79|held
1759|acme|north|valve|27|held
1512|ember|east|frame|11|shipped
1942|cobalt|north|valve|69|pending
2029|ember|north|frame|32|paid
1828|ember|east|pump|39|paid
1548|dorian|west|cable|89|paid
1356|cobalt|north|gasket|29|pending
1272|birch|north|sensor|40|shipped
1935|dorian|north|cable|30|paid
1357|gale|north|frame|77|shipped
1279|ionic|east|gasket|35|paid
1690|juno|south|cable|77|paid
1455|cobalt|west|sensor|57|held
1900|cobalt|north|panel|16|pending
1201|cobalt|east|pump|17|pending
1847|cobalt|north|rotor|78|shipped
1822|cobalt|east|cable|17|shipped
1986|ionic|south|pump|51|pending
1720|harbor|east|sensor|54|shipped
2126|ionic|south|pump|48|paid
1404|fulton|north|pump|25|pending
1747|cobalt|south|sensor|99|paid
1620|gale|east|frame|10|held
1657|cobalt|west|cable|82|pending
1318|cobalt|east|frame|73|held
1321|fulton|north|gasket|27|pending
1879|gale|east|frame|76|pending
2116|fulton|west|cable|37|paid
1941|cobalt|west|valve|98|pending
2052|dorian|east|sensor|49|paid
1987|gale|west|valve|49|pending
1686|acme|south|cable|37|held
1873|acme|south|valve|35|shipped
1487|ember|south|rotor|44|paid
1536|dorian|south|rotor|74|pending
1869|fulton|north|pump|92|held
1831|ember|west|rotor|70|shipped
1414|birch|west|valve|57|shipped
1361|harbor|north|panel|95|shipped
1598|birch|south|frame|39|paid
1608|harbor|east|panel|94|shipped
1371|ionic|west|gasket|97|shipped
1341|juno|south|valve|91|held
1466|juno|east|valve|39|paid
1310|juno|south|pump|13|shipped
1446|cobalt|west|gasket|29|paid
1185|cobalt|east|valve|86|pending
1622|ionic|west|cable|92|held
1756|dorian|west|rotor|44|held
1861|juno|west|panel|25|shipped
1766|cobalt|west|gasket|85|pending
2099|harbor|south|rotor|82|held
1662|harbor|west|panel|24|pending
1750|ember|north|cable|10|held
1966|gale|south|cable|32|shipped
1513|ionic|west|valve|84|shipped
1440|fulton|west|panel|18|shipped
2047|cobalt|north|sensor|90|pending
1713|birch|west|panel|48|paid
1434|ember|north|rotor|58|shipped
1506|dorian|west|valve|62|pending
2024|juno|west|panel|55|held
1902|gale|east|valve|14|held
1698|ember|south|sensor|47|held
1498|ember|east|sensor|16|paid
1533|gale|west|panel|83|paid
1647|fulton|south|pump|64|pending
1863|dorian|west|cable|10|paid
1896|gale|north|panel|88|paid
1728|gale|east|gasket|77|held
2042|birch|east|sensor|11|pending
1929|fulton|north|frame|38|pending
1688|birch|north|gasket|20|pending
1529|cobalt|south|cable|34|held
1519|birch|south|sensor|99|paid
1924|birch|north|valve|76|paid
2085|birch|south|cable|12|held
1849|cobalt|west|gasket|38|shipped
1289|ionic|east|frame|32|pending
1197|cobalt|east|frame|41|shipped
1893|fulton|west|valve|60|pending
1805|gale|north|rotor|43|paid
1977|gale|east|cable|78|paid
1323|fulton|east|cable|21|pending
2017|juno|east|cable|28|held
1380|juno|south|frame|96|paid
1811|ember|east|rotor|19|held
1494|fulton|south|pump|12|paid
1241|cobalt|east|cable|88|held
2133|ember|east|gasket|96|paid
1644|gale|south|pump|12|paid
1540|cobalt|north|gasket|80|shipped
1178|cobalt|east|frame|46|held
1453|cobalt|south|gasket|90|paid
1561|dorian|west|cable|19|shipped
1473|acme|west|sensor|66|held
2078|dorian|south|rotor|56|held
1477|acme|west|panel|80|paid
1592|dorian|east|cable|76|held
1332|fulton|north|cable|36|held
1963|birch|south|cable|83|paid
1264|acme|south|rotor|97|paid
1297|gale|south|panel|94|paid
1763|ember|north|cable|26|pending
1255|ionic|east|panel|13|held
1634|acme|west|valve|18|pending
1905|gale|east|sensor|34|pending
2094|cobalt|east|frame|37|shipped
1752|dorian|south|gasket|52|held
1735|gale|east|panel|40|held
1322|cobalt|west|sensor|99|pending
1454|juno|north|rotor|57|pending
1702|juno|south|valve|74|held
2075|gale|south|cable|18|shipped
1725|ember|east|pump|77|pending
1922|gale|north|valve|25|shipped
1586|harbor|north|gasket|83|shipped
1580|ionic|west|rotor|46|shipped
1996|acme|west|panel|64|pending
1555|juno|west|pump|19|shipped
1376|ember|south|frame|92|held
2095|acme|west|pump|82|shipped
1856|cobalt|east|sensor|54|paid
1907|acme|north|cable|93|pending
1482|gale|west|sensor|56|paid
1405|harbor|west|valve|92|shipped
1886|ionic|north|sensor|84|paid
1730|fulton|west|frame|91|shipped
1240|cobalt|east|rotor|83|paid
1753|dorian|south|frame|23|held
1299|ionic|east|cable|90|pending
1772|acme|west|sensor|34|pending
1317|birch|north|cable|89|pending
1204|cobalt|north|rotor|45|pending
1412|ionic|south|pump|63|held
1980|cobalt|south|frame|78|paid
1781|birch|south|valve|88|shipped
1394|gale|east|valve|16|shipped
2081|gale|west|cable|43|shipped
1430|ember|east|valve|43|paid
2128|dorian|north|pump|61|paid
1602|juno|east|sensor|67|held
1480|ionic|west|rotor|77|pending
1949|acme|south|sensor|71|pending
1972|ember|west|rotor|57|paid
1679|birch|east|valve|56|held
2064|ionic|north|panel|44|shipped
1908|ionic|south|rotor|58|shipped
1575|ionic|west|rotor|14|paid
1957|dorian|east|rotor|95|held
1349|acme|east|pump|55|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 53, 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": 1173}}, {"tool": "restock", "args": {"item": "valve", "qty": 86}}, {"tool": "cancel_order", "args": {"order_id": 1201}} ]
correctagentic.tools.deploy-v1conf 100% · 510ms · $0.009 · 1295 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
- reports: notifier
- billing: (none)
- auth-svc: reports

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}} ]
correctagentic.tools.ledger-v1conf 100% · 560ms · $0.009 · 1263 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: $495
- bravo: $853
- delta: $380

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $307 from "bravo" to "delta"
2. pay $586 from "lima" to "delta"
3. pay $436 from "lima" to "bravo"
4. pay $227 from "delta" to "bravo"
5. pay $542 from "lima" 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": "delta", "amount": 307}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 91}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 586}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 436}}, {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 436}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 227}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 542}}, {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 542}} ]
correctagentic.tools.triage-v1conf 100% · 602ms · $0.010 · 1503 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 8)
2. "webhooks not delivered" (category: infra, priority 2)
3. "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": "locked out after 2FA change", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.context-load-v1conf 100% · 639ms · $0.025 · 2144 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 (252 records, format: id|customer|region|item|qty|status):
```
1811|harbor|east|cable|38|shipped
1659|acme|north|valve|84|held
2013|dorian|east|cable|16|paid
1970|ember|east|frame|70|paid
1647|harbor|north|rotor|31|held
1732|acme|east|gasket|94|shipped
1941|ember|north|panel|80|held
2113|fulton|north|rotor|43|paid
1853|birch|north|cable|74|pending
2147|dorian|north|frame|36|held
2079|ionic|west|cable|70|paid
1322|birch|north|gasket|71|paid
2046|gale|north|rotor|18|pending
1705|acme|north|sensor|47|paid
1690|cobalt|north|sensor|38|held
1523|harbor|east|cable|15|held
1528|ember|west|gasket|35|held
1655|birch|south|valve|29|held
1902|gale|south|cable|22|paid
1940|harbor|north|rotor|75|paid
1983|harbor|east|sensor|26|pending
1777|gale|south|gasket|30|held
1746|acme|south|cable|67|pending
1946|ionic|north|pump|50|held
1438|acme|south|valve|44|paid
1685|ionic|south|gasket|87|paid
1954|dorian|south|gasket|64|shipped
1240|gale|west|panel|95|pending
1393|gale|east|rotor|45|shipped
2070|fulton|west|frame|64|pending
2107|birch|north|panel|53|paid
1548|dorian|west|rotor|92|shipped
1537|fulton|west|valve|82|shipped
1502|ionic|east|sensor|53|shipped
1498|acme|east|panel|67|paid
1493|harbor|south|sensor|26|held
1894|harbor|north|cable|30|pending
1318|cobalt|south|valve|76|paid
1227|gale|south|cable|24|shipped
1351|ember|south|gasket|91|pending
1873|juno|west|gasket|32|pending
1583|harbor|south|pump|46|paid
1335|dorian|east|gasket|88|pending
1796|cobalt|south|frame|80|held
1444|dorian|south|sensor|57|pending
1671|juno|west|valve|58|held
1960|ember|west|frame|83|shipped
1531|ionic|south|gasket|15|paid
2003|juno|east|rotor|99|paid
1613|harbor|west|sensor|24|paid
1627|cobalt|west|cable|57|shipped
1361|dorian|south|panel|32|shipped
1428|dorian|east|gasket|82|paid
1780|ember|west|cable|11|paid
2165|acme|east|cable|37|shipped
1614|ionic|south|pump|45|held
1423|fulton|south|gasket|71|pending
1963|fulton|east|panel|18|held
2080|ionic|south|frame|18|paid
1301|harbor|east|sensor|22|paid
2137|gale|east|cable|12|held
1713|dorian|east|sensor|17|pending
1676|acme|south|frame|96|pending
1536|cobalt|north|gasket|37|held
1486|harbor|east|cable|14|shipped
2040|birch|north|sensor|30|held
2028|dorian|south|rotor|49|held
1909|harbor|east|sensor|97|held
1974|acme|north|cable|33|held
1249|gale|east|frame|81|pending
1937|harbor|south|panel|12|pending
1364|gale|east|sensor|32|shipped
1575|fulton|west|frame|19|held
1880|juno|south|cable|77|pending
1268|gale|south|valve|66|held
1327|ionic|south|gasket|93|shipped
1543|birch|west|pump|10|shipped
1383|dorian|north|pump|48|pending
1738|gale|south|sensor|66|shipped
1634|ionic|north|sensor|74|pending
1766|ionic|north|sensor|12|shipped
1354|harbor|west|sensor|50|pending
1324|birch|north|valve|80|held
1678|fulton|west|frame|20|pending
1416|birch|south|rotor|94|held
2192|harbor|west|valve|86|held
1651|acme|west|valve|32|paid
1508|dorian|east|cable|79|pending
1556|ionic|west|pump|39|held
1218|gale|south|pump|85|shipped
1588|harbor|south|sensor|89|held
1553|dorian|north|frame|90|held
1565|birch|east|panel|49|held
2054|ionic|south|panel|68|shipped
1408|fulton|north|gasket|41|paid
2123|harbor|west|panel|91|held
1243|gale|south|rotor|65|held
1859|harbor|north|frame|76|shipped
1996|dorian|north|cable|58|pending
2182|ionic|south|cable|22|pending
1799|gale|east|gasket|52|shipped
2076|cobalt|west|frame|15|held
1330|ember|west|valve|79|pending
1483|fulton|south|frame|95|shipped
1723|ember|south|gasket|52|pending
1847|ember|west|rotor|85|held
1778|cobalt|south|frame|52|held
1600|dorian|west|rotor|80|shipped
2168|birch|east|sensor|93|pending
1443|juno|south|pump|26|pending
2086|dorian|south|frame|94|held
1870|ionic|east|frame|75|pending
1213|gale|east|valve|84|pending
1369|cobalt|south|valve|58|held
1812|ember|east|frame|16|pending
2189|gale|west|valve|20|shipped
1833|ionic|east|panel|92|pending
2156|ionic|east|rotor|83|pending
1744|birch|south|cable|22|paid
1711|fulton|east|frame|59|pending
2082|dorian|south|sensor|36|pending
1573|ionic|east|pump|28|held
2169|ember|east|panel|28|shipped
1699|birch|west|panel|52|paid
1621|birch|west|frame|91|pending
2007|acme|east|sensor|60|paid
1931|acme|south|sensor|65|held
2049|gale|east|panel|76|paid
1434|gale|west|pump|76|pending
1641|acme|south|pump|82|held
1887|fulton|north|sensor|95|paid
1789|fulton|north|gasket|19|held
1342|ember|south|rotor|87|paid
1540|acme|west|valve|67|pending
1701|harbor|south|pump|27|held
1211|gale|south|sensor|33|pending
2072|harbor|north|pump|15|held
1693|gale|east|panel|78|shipped
1985|fulton|east|frame|88|held
1223|gale|south|gasket|12|pending
1754|gale|west|cable|27|paid
1966|dorian|south|gasket|78|paid
2065|fulton|east|frame|39|paid
2103|dorian|east|gasket|83|paid
1831|fulton|south|cable|88|held
1480|birch|west|panel|15|held
1943|dorian|east|sensor|89|pending
1280|cobalt|north|valve|10|pending
2092|harbor|east|cable|60|held
1234|gale|south|cable|89|pending
1824|gale|west|valve|55|paid
2025|fulton|west|panel|32|held
1856|ember|south|cable|80|held
1839|gale|north|valve|27|pending
1376|juno|north|sensor|39|pending
1457|juno|west|sensor|29|held
1468|ionic|north|frame|42|shipped
1921|fulton|east|frame|33|shipped
1605|juno|north|cable|92|held
2171|dorian|west|sensor|26|pending
1451|fulton|west|rotor|82|shipped
2015|harbor|west|cable|83|pending
1274|juno|west|sensor|50|paid
1558|gale|north|gasket|44|shipped
1303|ionic|north|frame|13|held
1697|dorian|south|rotor|82|paid
1924|ember|north|rotor|42|held
1767|fulton|east|sensor|94|paid
1598|acme|west|cable|22|held
1843|fulton|east|panel|62|pending
1854|birch|east|valve|90|shipped
1294|birch|east|pump|84|shipped
1349|dorian|north|frame|33|held
1248|gale|south|frame|74|pending
2159|ember|west|sensor|57|pending
1864|dorian|west|rotor|89|held
2172|ionic|north|sensor|80|shipped
1827|fulton|south|gasket|37|shipped
1567|juno|north|panel|29|pending
1606|birch|east|cable|26|paid
2179|fulton|east|rotor|17|paid
1295|ember|west|valve|97|shipped
1945|ember|east|valve|14|paid
1726|gale|south|frame|31|paid
1971|cobalt|north|valve|31|pending
1338|cobalt|north|panel|51|paid
1302|cobalt|west|panel|48|held
1352|acme|east|sensor|10|pending
1256|gale|south|sensor|88|pending
1903|juno|north|gasket|85|pending
1287|gale|north|frame|75|pending
1990|dorian|east|pump|38|pending
2106|ember|south|panel|70|pending
1908|gale|west|cable|97|pending
2117|birch|east|valve|37|paid
2140|dorian|east|pump|80|shipped
1436|birch|east|gasket|46|paid
1666|gale|south|pump|21|paid
1751|juno|south|valve|81|paid
1981|gale|north|cable|37|shipped
1510|ember|east|pump|43|held
1804|juno|north|valve|16|held
1577|gale|east|cable|14|held
1307|juno|east|sensor|26|paid
1815|juno|north|frame|54|shipped
1461|cobalt|south|frame|94|pending
1589|acme|south|pump|32|shipped
1611|cobalt|west|frame|65|shipped
1687|harbor|south|frame|24|pending
1312|fulton|north|cable|81|shipped
2130|gale|north|rotor|22|paid
1851|ionic|north|valve|24|held
1414|acme|south|panel|98|held
1475|acme|west|rotor|87|paid
1262|gale|north|gasket|86|pending
1593|fulton|north|gasket|55|paid
1911|fulton|north|pump|46|held
2017|gale|south|gasket|85|held
1517|fulton|south|sensor|14|shipped
1920|acme|east|pump|36|pending
1557|fulton|west|rotor|54|held
1716|ionic|west|gasket|23|pending
1251|gale|south|sensor|53|paid
1326|ionic|east|sensor|37|pending
1421|fulton|south|rotor|45|shipped
2152|harbor|south|valve|41|shipped
1968|cobalt|west|valve|44|pending
2060|acme|east|rotor|22|pending
1875|ionic|north|frame|40|shipped
2132|ionic|north|sensor|84|shipped
2034|harbor|north|panel|53|pending
2097|juno|east|panel|28|shipped
1819|fulton|south|frame|60|held
1386|fulton|east|panel|75|pending
2023|juno|south|valve|26|held
1771|gale|west|panel|87|pending
1672|gale|west|cable|75|shipped
2126|ember|west|panel|19|paid
2011|fulton|south|frame|69|held
1898|harbor|north|pump|89|pending
1226|gale|west|valve|48|pending
1394|dorian|east|sensor|77|held
1663|ember|west|pump|54|pending
1760|juno|east|pump|29|shipped
1518|harbor|east|panel|90|held
1401|cobalt|west|gasket|74|held
2143|gale|south|frame|24|paid
2112|dorian|south|cable|62|paid
1476|gale|west|sensor|65|pending
1783|gale|south|cable|13|paid
1915|dorian|east|cable|94|held
1947|ember|east|rotor|75|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, 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": 1211}}, {"tool": "cancel_order", "args": {"order_id": 1223}}, {"tool": "restock", "args": {"item": "cable", "qty": 89}}, {"tool": "restock", "args": {"item": "frame", "qty": 74}}, {"tool": "restock", "args": {"item": "sensor", "qty": 88}} ]
correctagentic.tools.deploy-v1conf 100% · 545ms · $0.012 · 1762 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
- billing: (none)
- reports: billing, search
- gateway: billing, reports

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.ledger-v1conf 100% · 669ms · $0.008 · 1205 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: $228
- bravo: $434
- delta: $727

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $342 from "bravo" to "delta"
2. pay $515 from "delta" to "bravo"
3. pay $142 from "oscar" to "bravo"
4. pay $526 from "delta" 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": "bravo", "to": "delta", "amount": 342}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 515}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 142}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 526}} ]
correctagentic.tools.triage-v1conf 100% · 1.1s · $0.018 · 2806 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → okafor
- data → haddad
- payments → tanaka

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "SSO loop on login" (category: auth, priority 3)
3. "invoice total wrong" (category: payments, priority 2)
4. "cannot reset password" (category: auth, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "okafor"}} ]
correctagentic.tools.context-load-v1conf 100% · 640ms · $0.044 · 6131 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 (134 records, format: id|customer|region|item|qty|status):
```
1812|dorian|east|valve|64|pending
1566|ember|north|rotor|29|paid
1383|birch|east|valve|10|pending
1508|gale|south|cable|88|held
1850|gale|south|cable|50|held
1510|dorian|east|sensor|10|shipped
1495|fulton|south|sensor|12|held
1482|dorian|north|frame|54|held
1460|acme|east|valve|24|pending
1377|birch|south|panel|63|pending
1642|gale|north|cable|53|paid
1876|ionic|east|valve|84|held
1752|juno|east|frame|29|pending
1529|dorian|north|sensor|35|held
1568|cobalt|south|sensor|68|shipped
1885|juno|south|gasket|63|shipped
1590|fulton|east|sensor|12|paid
1712|birch|north|sensor|14|pending
1769|ionic|south|cable|98|shipped
1357|birch|south|gasket|49|pending
1421|harbor|north|pump|71|pending
1863|harbor|south|gasket|50|pending
1431|harbor|south|gasket|68|held
1415|fulton|west|panel|48|paid
1624|birch|north|panel|83|shipped
1857|dorian|west|gasket|83|held
1443|harbor|south|gasket|15|shipped
1797|fulton|north|gasket|67|paid
1436|cobalt|east|gasket|21|paid
1525|dorian|north|valve|84|paid
1672|juno|west|sensor|67|held
1397|birch|east|panel|99|pending
1475|ionic|east|valve|38|held
1656|birch|east|gasket|14|held
1787|gale|south|cable|91|pending
1784|ember|south|valve|31|paid
1572|birch|south|valve|11|paid
1881|birch|west|sensor|99|pending
1646|gale|west|pump|14|paid
1665|fulton|south|sensor|20|paid
1835|ember|west|valve|26|held
1730|acme|east|sensor|92|paid
1729|acme|west|frame|27|pending
1694|birch|east|valve|61|paid
1445|cobalt|north|gasket|31|pending
1890|dorian|south|rotor|59|paid
1575|dorian|east|valve|64|pending
1399|birch|south|pump|93|held
1728|fulton|east|cable|35|paid
1544|dorian|east|pump|34|shipped
1555|juno|north|valve|20|pending
1347|birch|east|rotor|53|pending
1782|birch|north|gasket|39|held
1387|birch|south|gasket|48|paid
1732|ember|west|sensor|92|pending
1837|gale|west|cable|27|held
1466|juno|west|rotor|83|shipped
1720|fulton|east|valve|97|shipped
1455|ember|east|gasket|21|pending
1647|gale|east|frame|44|shipped
1750|ember|west|valve|17|held
1684|gale|south|pump|55|held
1809|cobalt|east|sensor|94|held
1479|fulton|north|frame|12|shipped
1727|dorian|east|sensor|84|pending
1408|fulton|north|frame|29|held
1484|acme|east|valve|16|held
1819|birch|west|sensor|63|held
1705|cobalt|west|valve|14|shipped
1593|ionic|south|frame|22|shipped
1757|cobalt|west|panel|51|pending
1352|birch|south|frame|81|paid
1737|fulton|east|sensor|17|pending
1703|birch|north|gasket|28|paid
1618|birch|east|cable|95|held
1847|ember|west|valve|41|pending
1533|acme|north|pump|92|held
1498|ember|east|pump|16|pending
1586|cobalt|south|panel|72|shipped
1699|dorian|north|panel|25|pending
1615|juno|west|rotor|56|shipped
1401|cobalt|east|gasket|66|paid
1722|ionic|west|frame|48|pending
1897|fulton|west|sensor|47|shipped
1472|acme|north|valve|79|pending
1629|fulton|east|sensor|48|shipped
1598|juno|north|rotor|72|held
1848|cobalt|east|sensor|11|pending
1452|juno|west|sensor|45|shipped
1346|birch|south|sensor|34|pending
1627|ember|east|pump|57|pending
1537|harbor|south|cable|11|held
1425|ionic|north|pump|28|paid
1674|gale|west|gasket|61|held
1364|birch|north|frame|72|pending
1608|gale|north|cable|49|paid
1400|juno|west|rotor|30|pending
1843|gale|west|sensor|26|pending
1370|birch|south|pump|77|shipped
1771|ember|north|rotor|57|pending
1636|fulton|east|gasket|16|held
1628|gale|north|frame|99|pending
1549|dorian|north|frame|30|paid
1746|juno|west|frame|52|pending
1688|birch|north|sensor|85|shipped
1620|gale|east|gasket|80|held
1490|cobalt|west|rotor|28|held
1875|juno|east|panel|32|paid
1649|dorian|south|valve|76|shipped
1744|gale|south|rotor|25|shipped
1698|dorian|east|pump|58|pending
1738|birch|north|sensor|49|pending
1803|acme|south|sensor|49|pending
1766|ember|north|cable|14|paid
1716|harbor|east|pump|45|paid
1390|birch|south|panel|63|pending
1888|cobalt|south|frame|48|paid
1659|acme|north|sensor|50|pending
1868|acme|north|pump|78|held
1775|ember|south|panel|34|pending
1519|ionic|east|cable|23|paid
1582|juno|south|valve|52|shipped
1601|gale|north|gasket|45|paid
1680|juno|south|sensor|10|pending
1794|juno|south|frame|16|shipped
1504|ember|east|panel|83|paid
1765|ember|west|frame|13|shipped
1828|birch|east|valve|22|pending
1560|cobalt|east|sensor|23|paid
1825|acme|west|sensor|20|held
1671|birch|west|panel|48|held
1513|ionic|south|gasket|95|held
1813|dorian|north|rotor|66|paid
1762|harbor|north|pump|33|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 47, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1346}}, {"tool": "restock", "args": {"item": "gasket", "qty": 49}}, {"tool": "restock", "args": {"item": "panel", "qty": 63}}, {"tool": "restock", "args": {"item": "panel", "qty": 63}} ]
correctagentic.tools.context-load-v1conf 100% · 709ms · $0.013 · 955 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 (150 records, format: id|customer|region|item|qty|status):
```
1796|gale|east|sensor|85|shipped
1841|fulton|west|valve|87|held
1903|cobalt|south|sensor|45|shipped
1341|cobalt|north|gasket|12|pending
1646|birch|west|sensor|32|shipped
1508|acme|south|pump|11|shipped
1894|harbor|west|pump|19|shipped
1496|harbor|south|valve|13|paid
1350|cobalt|north|sensor|32|paid
1740|cobalt|north|sensor|22|pending
1744|birch|north|cable|98|shipped
1890|juno|west|sensor|57|paid
1363|birch|west|cable|74|held
1386|acme|east|gasket|78|pending
1856|ionic|south|cable|66|paid
1791|acme|east|sensor|48|pending
1577|dorian|west|gasket|13|paid
1800|dorian|west|pump|72|shipped
1592|ember|east|valve|69|shipped
1819|fulton|north|panel|61|held
1779|ionic|south|valve|19|shipped
1659|birch|north|rotor|13|held
1413|ionic|west|valve|56|shipped
1737|dorian|south|panel|26|shipped
1855|acme|north|valve|33|shipped
1467|gale|north|gasket|49|pending
1827|dorian|east|rotor|89|paid
1573|cobalt|east|valve|91|pending
1636|harbor|east|rotor|69|pending
1379|ember|west|sensor|36|shipped
1474|dorian|south|sensor|43|held
1460|gale|north|sensor|51|paid
1542|juno|west|cable|21|shipped
1812|ember|north|cable|57|shipped
1565|harbor|east|panel|58|shipped
1780|fulton|east|sensor|78|shipped
1344|cobalt|south|panel|45|pending
1605|ionic|west|frame|54|shipped
1551|cobalt|south|rotor|61|paid
1875|gale|east|pump|80|pending
1370|ionic|north|cable|44|shipped
1429|ionic|east|gasket|21|pending
1563|cobalt|north|frame|18|paid
1588|dorian|east|frame|94|pending
1338|cobalt|east|cable|55|pending
1664|acme|east|gasket|18|pending
1408|ember|north|gasket|38|held
1789|fulton|north|gasket|66|paid
1578|cobalt|east|gasket|76|held
1336|cobalt|north|gasket|47|pending
1794|dorian|north|valve|53|pending
1898|juno|east|frame|39|pending
1686|harbor|south|valve|71|shipped
1535|dorian|north|sensor|83|pending
1784|fulton|north|pump|65|pending
1896|birch|south|cable|16|held
1795|birch|east|sensor|83|pending
1650|cobalt|west|frame|54|paid
1772|cobalt|north|sensor|47|paid
1908|birch|north|panel|97|held
1698|fulton|south|pump|85|pending
1403|fulton|east|cable|66|paid
1627|ember|west|gasket|80|shipped
1419|birch|west|sensor|65|pending
1486|juno|south|panel|84|pending
1724|birch|west|rotor|97|paid
1439|birch|north|pump|84|shipped
1600|birch|south|panel|49|shipped
1702|ember|east|rotor|21|held
1585|ember|east|panel|72|shipped
1513|gale|east|rotor|74|pending
1900|cobalt|west|rotor|74|shipped
1395|gale|east|panel|22|paid
1324|cobalt|north|gasket|13|pending
1456|birch|west|panel|34|paid
1555|harbor|north|frame|18|shipped
1822|juno|east|panel|53|shipped
1448|juno|east|cable|91|pending
1676|dorian|east|sensor|33|paid
1854|ember|west|sensor|33|held
1634|ember|north|sensor|72|paid
1709|gale|west|valve|12|held
1697|acme|north|sensor|16|paid
1830|juno|south|frame|40|held
1479|gale|north|valve|48|shipped
1656|fulton|east|gasket|72|paid
1444|fulton|west|valve|46|shipped
1647|gale|north|rotor|30|paid
1762|gale|west|cable|58|shipped
1715|acme|west|gasket|26|paid
1645|birch|south|gasket|90|held
1576|acme|west|panel|50|paid
1332|cobalt|north|sensor|79|held
1813|ember|west|rotor|72|pending
1690|gale|east|sensor|27|shipped
1339|cobalt|north|sensor|93|shipped
1847|cobalt|west|rotor|99|pending
1807|juno|north|valve|54|paid
1863|ionic|west|gasket|59|pending
1891|ionic|west|cable|64|held
1611|ember|west|pump|26|paid
1749|birch|west|pump|99|shipped
1684|ember|south|rotor|54|shipped
1910|juno|west|sensor|62|pending
1765|ionic|west|cable|77|shipped
1670|gale|west|pump|85|shipped
1755|fulton|west|valve|84|shipped
1682|gale|east|frame|40|shipped
1617|gale|south|pump|98|shipped
1374|cobalt|south|cable|50|shipped
1884|birch|east|pump|11|shipped
1434|juno|south|pump|87|paid
1616|gale|west|rotor|72|pending
1730|fulton|east|pump|74|held
1865|ember|west|rotor|20|pending
1734|ember|east|gasket|77|paid
1422|ionic|west|gasket|44|pending
1764|fulton|south|gasket|74|paid
1545|cobalt|east|cable|93|pending
1388|birch|west|panel|59|shipped
1571|acme|south|cable|80|shipped
1357|cobalt|north|rotor|36|held
1810|fulton|west|rotor|32|held
1642|dorian|west|gasket|45|shipped
1901|juno|west|sensor|87|shipped
1868|cobalt|east|sensor|48|shipped
1607|birch|south|gasket|77|paid
1518|ionic|east|valve|88|shipped
1366|harbor|south|valve|61|pending
1561|ember|east|pump|38|pending
1354|cobalt|east|cable|25|pending
1558|acme|north|frame|42|shipped
1516|harbor|north|cable|76|held
1490|ionic|east|pump|59|pending
1899|ionic|south|gasket|16|held
1694|cobalt|west|rotor|67|pending
1327|cobalt|west|panel|18|pending
1528|ionic|north|pump|19|pending
1623|ionic|north|rotor|29|pending
1450|cobalt|west|rotor|16|shipped
1398|cobalt|north|sensor|33|paid
1718|cobalt|south|valve|18|pending
1880|birch|east|gasket|49|held
1774|ember|north|valve|61|paid
1521|gale|west|pump|56|pending
1748|harbor|east|cable|10|shipped
1503|ionic|south|cable|76|paid
1353|cobalt|north|sensor|74|pending
1834|gale|south|rotor|13|pending
1593|gale|west|frame|78|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": 1324}}, {"tool": "cancel_order", "args": {"order_id": 1336}}, {"tool": "cancel_order", "args": {"order_id": 1341}}, {"tool": "restock", "args": {"item": "sensor", "qty": 74}}, {"tool": "cancel_order", "args": {"order_id": 1740}} ]
correctagentic.tools.deploy-v1conf 100% · 721ms · $0.008 · 1094 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: reports
- reports: billing
- auth-svc: billing
- billing: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 100% · 764ms · $0.008 · 1098 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $757
- lima: $679
- alpha: $527

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $396 from "lima" to "echo"
2. pay $491 from "echo" to "lima"
3. pay $199 from "lima" to "echo"
4. pay $234 from "echo" to "lima"
5. pay $564 from "echo" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 396}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 491}}, {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 199}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 234}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 564}} ]
correctagentic.tools.triage-v1conf 100% · 726ms · $0.005 · 526 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → rivera
- auth → silva
- infra → chen

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 8)
2. "invoice total wrong" (category: payments, priority 8)
3. "API latency spikes" (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": "invoice total wrong", "priority": 8}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}} ]
correctagentic.tools.deploy-v1conf 100% · 1.0s · $0.006 · 772 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 100% · 613ms · $0.008 · 1058 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: $890
- bravo: $511
- tango: $682

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $594 from "alpha" to "bravo"
2. pay $112 from "alpha" to "tango"
3. pay $109 from "tango" to "bravo"
4. pay $169 from "tango" to "alpha"
5. pay $139 from "tango" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 594}}, {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 112}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 109}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 169}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 139}} ]
correctagentic.tools.triage-v1conf 100% · 2.4s · $0.013 · 1999 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → tanaka
- infra → silva
- auth → chen

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 9)
2. "uploads failing intermittently" (category: infra, priority 5)
3. "locked out after 2FA change" (category: auth, 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": "invoice total wrong", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.context-load-v1anchorconf 100% · 712ms · $0.025 · 2558 tok
model answer: [ {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": 1384}}, {"tool": "restock", "args": {"item": "frame", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1682}} ]
correctagentic.tools.triage-v1anchorconf 100% · 1.2s · $0.014 · 2158 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 563ms · $0.007 · 965 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% · 1.3s · $0.010 · 1502 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.ledger-v1conf 100% · 948ms · $0.015 · 2233 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: $676
- delta: $652
- echo: $390

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $102 from "delta" to "echo"
2. pay $177 from "echo" to "oscar"
3. pay $277 from "delta" to "oscar"
4. pay $465 from "echo" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 102}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 177}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 277}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 150}}, {"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 465}} ]
correctagentic.tools.triage-v1conf 100% · 653ms · $0.006 · 797 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 → tanaka
- infra → dubois
- auth → novak

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 9)
3. "SSO loop on login" (category: auth, priority 6)
4. "export file corrupted" (category: data, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "tanaka"}} ]
correctagentic.tools.context-load-v1conf 100% · 1.4s · $0.022 · 2267 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 (175 records, format: id|customer|region|item|qty|status):
```
2012|acme|south|gasket|38|paid
1505|acme|west|frame|48|held
1678|cobalt|north|rotor|10|paid
2031|gale|east|rotor|36|paid
1958|birch|east|sensor|64|shipped
1564|ember|east|rotor|71|pending
1792|juno|south|rotor|90|pending
1610|fulton|south|panel|43|pending
2068|dorian|west|pump|99|held
1579|dorian|east|valve|92|pending
1587|acme|east|panel|54|paid
1819|acme|south|valve|79|held
2156|birch|east|cable|39|pending
2039|birch|west|frame|37|pending
2183|fulton|west|sensor|72|paid
1737|birch|west|panel|30|held
1891|gale|north|sensor|97|paid
1841|birch|north|frame|64|paid
1790|fulton|south|frame|60|held
1927|ionic|west|rotor|29|shipped
1851|fulton|south|panel|69|pending
2008|ember|north|sensor|44|pending
2007|gale|north|sensor|38|pending
2135|cobalt|east|pump|30|shipped
1866|ember|south|panel|28|pending
1632|fulton|west|cable|69|pending
1720|gale|north|panel|74|held
2102|fulton|west|gasket|65|held
2126|ember|east|pump|89|pending
1749|dorian|north|pump|87|paid
1500|acme|west|pump|65|pending
1691|acme|south|rotor|59|held
1562|ionic|west|valve|19|pending
1571|harbor|north|frame|29|held
2083|cobalt|east|gasket|52|pending
1810|ember|east|rotor|57|pending
2089|ember|west|gasket|91|paid
1653|dorian|west|frame|29|pending
2010|ionic|south|pump|91|pending
1966|fulton|east|pump|76|shipped
2117|birch|south|gasket|89|pending
1802|acme|east|panel|30|pending
1676|fulton|east|rotor|97|paid
1519|acme|west|sensor|20|pending
1639|dorian|west|panel|59|shipped
2018|dorian|south|sensor|31|paid
1553|fulton|west|gasket|57|shipped
1936|harbor|north|panel|34|paid
1523|acme|south|sensor|36|pending
1728|harbor|west|pump|41|shipped
1608|juno|east|frame|64|paid
2177|birch|west|panel|12|shipped
2109|gale|east|frame|95|pending
1985|juno|west|gasket|55|paid
1577|harbor|east|rotor|91|shipped
1797|birch|south|sensor|77|held
1872|dorian|north|gasket|50|held
1788|harbor|south|cable|77|held
1531|acme|east|gasket|96|pending
1946|ember|north|sensor|75|held
2076|gale|west|sensor|86|pending
1967|juno|east|gasket|13|paid
2051|harbor|south|gasket|41|paid
2034|juno|east|frame|96|shipped
1817|ember|east|rotor|31|held
1670|dorian|west|gasket|27|pending
1968|ionic|south|panel|65|paid
1761|juno|south|cable|54|held
1657|harbor|west|frame|88|held
1518|acme|west|sensor|98|held
1698|cobalt|east|panel|94|pending
1808|birch|north|gasket|59|shipped
2161|cobalt|south|pump|70|paid
1651|fulton|east|valve|59|pending
2159|gale|east|frame|25|held
1659|ionic|south|rotor|54|shipped
1539|acme|north|panel|98|pending
1528|acme|west|gasket|58|pending
1825|cobalt|east|rotor|83|shipped
1904|ember|south|cable|14|pending
1660|fulton|east|rotor|79|shipped
2059|ionic|east|cable|93|pending
1664|harbor|west|valve|79|paid
1628|gale|west|pump|14|paid
1951|harbor|east|panel|13|shipped
2130|fulton|west|panel|82|paid
1940|ember|south|valve|13|shipped
1960|juno|north|frame|52|pending
2139|acme|south|sensor|61|pending
1944|harbor|east|cable|24|pending
2141|harbor|west|sensor|99|held
1654|harbor|west|cable|51|held
1671|gale|south|cable|41|held
1762|fulton|west|pump|21|pending
2167|fulton|south|rotor|90|pending
2044|ember|south|panel|82|shipped
1991|dorian|east|rotor|95|held
2055|harbor|west|rotor|62|held
1506|acme|west|valve|10|pending
1821|harbor|west|rotor|43|paid
1597|juno|west|rotor|43|held
1704|cobalt|north|panel|53|pending
2035|acme|south|panel|94|pending
1834|acme|west|sensor|77|pending
1582|birch|east|valve|11|held
1982|fulton|west|pump|83|held
1768|ember|east|cable|65|paid
2174|birch|north|gasket|13|held
1592|cobalt|north|cable|22|held
1524|acme|west|gasket|67|held
1977|dorian|south|frame|72|pending
1497|acme|west|rotor|59|paid
2169|gale|west|pump|31|paid
1897|harbor|south|frame|50|pending
1502|acme|south|cable|37|pending
1622|ember|south|rotor|40|shipped
1511|acme|south|sensor|49|pending
1552|ionic|east|gasket|46|paid
1971|ionic|north|cable|78|held
1537|acme|west|gasket|76|held
1824|harbor|east|panel|96|held
1590|ember|east|frame|40|shipped
1782|birch|south|pump|64|shipped
1485|acme|west|pump|88|pending
1863|birch|north|sensor|28|pending
1601|ionic|east|valve|74|pending
1675|gale|west|sensor|20|paid
1734|cobalt|south|panel|35|paid
2124|acme|east|sensor|92|shipped
1959|fulton|north|panel|14|held
2042|juno|south|sensor|74|held
1914|dorian|east|sensor|41|paid
1492|acme|east|panel|56|pending
2175|fulton|north|panel|49|paid
2074|fulton|north|sensor|41|shipped
2140|juno|north|gasket|95|held
1545|ember|east|gasket|95|paid
1776|birch|east|gasket|21|held
1751|juno|north|valve|89|held
1714|harbor|north|gasket|34|shipped
2080|harbor|west|pump|19|shipped
2025|gale|west|frame|39|shipped
1644|harbor|south|cable|58|paid
1921|birch|west|gasket|26|shipped
1637|ember|west|gasket|45|held
1680|birch|east|valve|20|held
1847|harbor|east|panel|28|shipped
1755|birch|south|frame|19|pending
1615|ionic|east|sensor|99|held
1558|ember|north|valve|24|held
1627|birch|west|valve|83|held
1772|fulton|south|valve|45|paid
1885|gale|west|cable|68|pending
2093|juno|north|valve|96|paid
2152|gale|north|panel|90|shipped
2000|birch|east|panel|58|paid
2147|gale|south|valve|64|paid
1931|gale|west|gasket|16|shipped
2116|harbor|south|valve|69|paid
1828|acme|north|pump|73|paid
1759|dorian|south|panel|39|paid
1743|harbor|west|valve|52|held
1995|fulton|west|rotor|20|held
2098|juno|north|gasket|89|shipped
1858|acme|south|rotor|27|paid
1705|acme|west|valve|44|held
1684|ionic|north|rotor|79|shipped
1909|birch|south|sensor|26|held
2168|gale|west|pump|12|paid
1712|birch|north|pump|48|held
1652|cobalt|north|valve|48|shipped
2066|harbor|north|valve|95|pending
1878|dorian|north|valve|34|shipped
2157|birch|west|panel|57|shipped
1727|birch|east|frame|65|pending
```

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 > 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": "pump", "qty": 88}}, {"tool": "restock", "args": {"item": "pump", "qty": 65}}, {"tool": "cancel_order", "args": {"order_id": 1506}}, {"tool": "cancel_order", "args": {"order_id": 1519}}, {"tool": "restock", "args": {"item": "gasket", "qty": 58}}, {"tool": "restock", "args": {"item": "sensor", "qty": 77}} ]
correctagentic.tools.deploy-v1conf 100% · 503ms · $0.015 · 2264 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: reports
- notifier: reports, search
- auth-svc: notifier, search
- reports: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}} ]
correctagentic.tools.triage-v1conf 100% · 501ms · $0.013 · 1976 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 → dubois
- payments → okafor
- infra → rivera

INCIDENTS:
1. "records missing after import" (category: data, priority 9)
2. "invoice total wrong" (category: payments, priority 8)
3. "records missing after import" (category: data, priority 9)
4. "export file corrupted" (category: data, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}} ]
correctagentic.tools.ledger-v1conf 100% · 488ms · $0.009 · 1237 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $412
- lima: $883
- tango: $214

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $127 from "lima" to "tango"
2. pay $518 from "lima" to "echo"
3. pay $393 from "echo" to "tango"
4. pay $333 from "echo" to "tango"
5. pay $132 from "lima" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 127}}, {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 518}}, {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 393}}, {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 333}}, {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 132}} ]
wrongagentic.tools.context-load-v1conf 100% · 1.3s · $0.013 · 891 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 (143 records, format: id|customer|region|item|qty|status):
```
1745|cobalt|west|rotor|55|shipped
1729|birch|north|cable|43|pending
1628|juno|east|pump|67|paid
1791|acme|south|valve|18|held
1414|acme|north|frame|58|shipped
1704|ember|east|pump|27|pending
1639|harbor|south|sensor|48|shipped
1817|acme|east|sensor|80|shipped
1728|ember|west|panel|50|held
1671|harbor|west|cable|23|pending
1282|harbor|south|panel|94|pending
1646|dorian|south|frame|31|held
1324|acme|south|panel|74|pending
1663|harbor|north|rotor|60|paid
1805|birch|south|rotor|77|held
1659|dorian|west|panel|10|pending
1442|ember|east|frame|43|paid
1340|acme|south|gasket|54|paid
1691|ember|east|valve|76|shipped
1494|fulton|east|frame|55|held
1821|gale|north|pump|23|pending
1754|cobalt|north|pump|36|shipped
1344|fulton|east|rotor|76|shipped
1551|fulton|east|pump|46|shipped
1516|gale|north|gasket|52|held
1519|birch|east|pump|32|held
1277|harbor|south|panel|91|held
1545|dorian|west|rotor|87|held
1313|dorian|east|frame|24|pending
1529|birch|west|frame|68|pending
1712|ionic|west|rotor|11|pending
1801|gale|south|pump|20|pending
1331|gale|south|frame|44|paid
1812|cobalt|east|panel|57|paid
1684|ember|east|valve|77|held
1507|ionic|east|valve|81|pending
1705|harbor|north|panel|34|shipped
1386|cobalt|south|sensor|77|pending
1616|juno|south|cable|87|held
1406|juno|south|rotor|98|shipped
1469|birch|south|pump|95|paid
1594|gale|east|cable|81|paid
1511|harbor|west|sensor|36|shipped
1350|ember|east|cable|94|pending
1288|harbor|north|gasket|11|pending
1448|fulton|east|sensor|27|held
1480|gale|east|frame|19|held
1416|birch|east|gasket|79|held
1326|birch|south|sensor|59|held
1557|fulton|south|frame|23|held
1382|harbor|north|sensor|93|held
1404|fulton|east|sensor|84|pending
1580|juno|north|valve|99|shipped
1315|cobalt|east|pump|52|paid
1782|juno|west|pump|26|shipped
1317|fulton|west|sensor|68|shipped
1721|gale|north|pump|96|paid
1360|ember|west|valve|31|shipped
1371|cobalt|east|gasket|19|paid
1538|gale|north|frame|67|held
1636|harbor|west|frame|18|shipped
1635|ember|west|frame|22|shipped
1585|ember|south|sensor|34|held
1693|harbor|south|valve|78|held
1611|gale|north|frame|51|paid
1368|juno|east|valve|88|pending
1373|ionic|west|cable|97|held
1408|ember|north|valve|30|pending
1720|dorian|south|rotor|43|held
1717|cobalt|west|gasket|96|pending
1624|juno|north|gasket|61|shipped
1521|ionic|east|sensor|69|paid
1572|ember|north|valve|90|held
1395|fulton|east|rotor|89|pending
1588|acme|west|pump|67|paid
1456|ember|east|rotor|32|pending
1271|harbor|east|gasket|33|pending
1512|harbor|north|rotor|43|paid
1534|harbor|east|gasket|15|pending
1450|dorian|south|frame|52|shipped
1323|harbor|south|rotor|59|shipped
1765|ionic|south|frame|98|shipped
1361|cobalt|south|frame|86|shipped
1376|acme|north|panel|17|pending
1656|fulton|east|valve|31|shipped
1337|ember|east|sensor|52|paid
1293|harbor|south|rotor|15|pending
1675|cobalt|east|gasket|36|shipped
1619|fulton|north|panel|62|paid
1751|fulton|south|rotor|51|paid
1733|ionic|east|valve|56|pending
1264|harbor|south|sensor|81|pending
1453|dorian|west|sensor|39|paid
1390|cobalt|west|cable|50|shipped
1381|ember|south|valve|64|pending
1763|ember|west|pump|88|shipped
1306|cobalt|east|frame|15|pending
1600|ember|north|gasket|34|shipped
1697|ember|east|rotor|92|pending
1665|acme|west|panel|47|held
1679|ionic|north|cable|79|pending
1640|juno|north|pump|57|held
1564|ember|south|panel|20|shipped
1424|ionic|east|cable|33|pending
1668|ember|west|sensor|37|paid
1359|gale|east|sensor|37|pending
1542|cobalt|east|rotor|68|pending
1795|dorian|east|pump|87|paid
1649|fulton|north|gasket|89|held
1431|ember|south|frame|98|pending
1579|birch|east|rotor|78|paid
1781|cobalt|north|panel|87|pending
1436|dorian|east|cable|58|pending
1757|gale|west|rotor|48|held
1593|dorian|east|panel|59|held
1570|dorian|north|gasket|73|held
1473|ember|south|panel|73|pending
1796|birch|west|panel|90|shipped
1739|dorian|south|valve|25|pending
1775|cobalt|south|frame|32|paid
1363|dorian|west|rotor|97|paid
1559|acme|east|cable|23|held
1785|harbor|south|panel|23|shipped
1463|fulton|east|valve|91|shipped
1379|fulton|south|panel|55|held
1504|ember|west|pump|48|paid
1420|dorian|north|rotor|81|paid
1487|cobalt|north|rotor|94|pending
1435|cobalt|south|gasket|73|shipped
1643|cobalt|south|panel|33|held
1401|fulton|north|panel|41|shipped
1767|harbor|south|valve|81|held
1303|harbor|south|rotor|34|paid
1291|harbor|south|frame|10|held
1605|gale|south|panel|27|paid
1429|fulton|west|valve|10|shipped
1771|birch|north|cable|42|shipped
1499|fulton|south|rotor|60|shipped
1774|dorian|south|frame|15|held
1352|ember|east|pump|47|shipped
1525|acme|south|rotor|98|pending
1299|harbor|west|pump|22|pending
1825|dorian|north|panel|21|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "sensor", "qty": 81}}, {"tool": "cancel_order", "args": {"order_id": 1293}} ]
correctagentic.tools.deploy-v1conf 100% · 697ms · $0.010 · 1591 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: (none)
- reports: gateway
- notifier: search

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1conf 100% · 521ms · $0.012 · 1714 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: $637
- lima: $665
- echo: $742

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $476 from "alpha" to "lima"
2. pay $582 from "echo" to "lima"
3. pay $537 from "echo" to "lima"
4. pay $144 from "alpha" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 476}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 582}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 377}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 537}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 144}} ]
correctagentic.tools.triage-v1conf 100% · 1.9s · $0.013 · 1962 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → okafor
- auth → silva
- payments → dubois

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 9)
2. "SSO loop on login" (category: auth, priority 6)
3. "SSO loop on login" (category: auth, priority 6)
4. "uploads failing intermittently" (category: infra, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "okafor"}} ]
correctagentic.tools.context-load-v1conf 100% · 658ms · $0.022 · 2467 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 (140 records, format: id|customer|region|item|qty|status):
```
1536|harbor|east|rotor|78|pending
1338|harbor|east|rotor|65|held
1229|juno|west|frame|18|held
1473|birch|west|gasket|97|shipped
1546|juno|north|sensor|62|shipped
1423|fulton|west|pump|34|paid
1629|cobalt|north|sensor|74|shipped
1700|birch|west|gasket|24|shipped
1421|cobalt|north|frame|12|paid
1575|fulton|west|rotor|90|shipped
1576|juno|north|valve|28|paid
1598|harbor|west|cable|10|held
1798|ionic|south|sensor|94|paid
1380|ionic|north|rotor|90|shipped
1755|acme|west|gasket|71|held
1483|cobalt|north|panel|89|pending
1563|dorian|east|pump|71|held
1501|dorian|east|valve|41|shipped
1771|gale|north|valve|65|shipped
1515|juno|east|frame|98|held
1329|birch|east|rotor|44|paid
1600|acme|east|gasket|11|pending
1539|harbor|north|cable|21|shipped
1301|juno|south|rotor|61|paid
1271|juno|east|rotor|17|pending
1360|dorian|east|cable|54|shipped
1590|fulton|north|sensor|77|pending
1278|juno|west|rotor|99|shipped
1786|dorian|north|cable|98|paid
1767|ionic|north|panel|73|paid
1248|juno|north|frame|71|pending
1655|gale|south|valve|41|pending
1292|harbor|north|frame|21|held
1754|harbor|north|gasket|95|pending
1549|fulton|east|panel|81|pending
1569|fulton|west|valve|86|paid
1762|cobalt|east|sensor|52|held
1733|gale|east|rotor|86|pending
1408|ionic|east|cable|31|pending
1236|juno|east|cable|28|pending
1645|acme|east|cable|14|paid
1412|acme|west|sensor|82|paid
1612|fulton|east|gasket|61|shipped
1459|fulton|west|rotor|24|shipped
1713|gale|east|pump|61|shipped
1595|ember|north|cable|95|held
1243|juno|west|rotor|43|shipped
1471|acme|north|pump|42|paid
1361|juno|west|panel|99|held
1791|birch|west|rotor|83|pending
1351|ember|north|sensor|36|paid
1304|juno|west|valve|77|pending
1438|birch|south|sensor|65|shipped
1654|fulton|north|rotor|28|shipped
1488|fulton|east|sensor|91|shipped
1251|juno|west|sensor|98|pending
1735|birch|west|rotor|17|shipped
1390|birch|north|panel|70|held
1749|gale|north|pump|29|shipped
1509|gale|south|panel|38|held
1616|cobalt|south|cable|86|shipped
1751|cobalt|south|sensor|63|pending
1583|acme|west|gasket|24|pending
1727|ionic|west|sensor|18|paid
1694|juno|south|panel|22|shipped
1260|juno|west|panel|70|shipped
1377|gale|west|cable|48|pending
1245|juno|west|pump|34|pending
1399|gale|west|rotor|75|shipped
1668|acme|west|gasket|50|shipped
1414|birch|north|gasket|54|pending
1651|fulton|north|cable|71|pending
1550|harbor|east|cable|53|shipped
1676|gale|south|gasket|31|shipped
1432|birch|west|pump|16|pending
1295|ember|south|rotor|86|paid
1404|acme|east|cable|43|held
1534|dorian|south|pump|75|shipped
1644|gale|east|pump|78|pending
1235|juno|west|gasket|16|pending
1621|dorian|north|cable|82|held
1661|fulton|south|valve|56|shipped
1454|gale|west|panel|10|pending
1720|juno|south|rotor|29|shipped
1634|juno|south|panel|44|paid
1228|juno|north|pump|31|pending
1773|juno|south|pump|55|pending
1684|cobalt|south|panel|38|pending
1502|ionic|south|pump|76|held
1559|harbor|east|pump|85|pending
1451|gale|east|gasket|12|paid
1673|ember|east|frame|17|shipped
1522|ionic|south|panel|59|shipped
1410|acme|south|panel|93|shipped
1516|cobalt|north|valve|45|pending
1311|birch|south|rotor|82|shipped
1365|ionic|north|rotor|90|paid
1264|juno|west|frame|93|pending
1681|acme|east|sensor|49|paid
1445|ember|east|panel|26|shipped
1334|harbor|north|pump|76|held
1284|harbor|south|valve|25|held
1495|gale|north|panel|33|pending
1774|dorian|south|frame|22|shipped
1374|juno|south|frame|29|paid
1395|birch|east|sensor|53|pending
1707|dorian|west|frame|92|shipped
1257|juno|east|panel|49|pending
1557|cobalt|north|pump|91|held
1527|dorian|east|pump|18|held
1369|acme|east|gasket|69|held
1779|ionic|east|pump|74|paid
1344|fulton|north|valve|96|paid
1425|cobalt|east|pump|50|pending
1331|acme|east|cable|30|pending
1368|cobalt|east|valve|17|paid
1353|dorian|east|rotor|95|held
1641|dorian|west|gasket|79|pending
1742|dorian|south|gasket|54|pending
1792|ember|east|gasket|73|paid
1602|harbor|east|panel|65|held
1286|ember|west|panel|52|held
1687|juno|east|cable|92|held
1313|acme|west|sensor|44|shipped
1627|fulton|east|valve|86|shipped
1299|birch|north|cable|33|shipped
1606|juno|south|cable|53|shipped
1465|gale|east|pump|78|pending
1604|gale|east|sensor|37|paid
1796|gale|east|pump|53|paid
1355|acme|east|rotor|87|pending
1385|gale|west|cable|43|held
1573|juno|west|cable|29|shipped
1317|ionic|east|pump|92|paid
1476|birch|south|gasket|85|pending
1322|ionic|east|gasket|91|shipped
1226|juno|west|frame|75|pending
1772|acme|west|valve|71|shipped
1250|juno|west|cable|38|held
1352|harbor|west|pump|36|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 59, 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": "frame", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1235}}, {"tool": "cancel_order", "args": {"order_id": 1245}}, {"tool": "restock", "args": {"item": "sensor", "qty": 98}}, {"tool": "restock", "args": {"item": "frame", "qty": 93}}, {"tool": "restock", "args": {"item": "valve", "qty": 77}} ]
TimeoutError: The operation was aborted due to timeoutagentic.tools.deploy-v1conf · · · tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.deploy-v1conf 100% · 519ms · $0.007 · 924 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: reports, search
- reports: (none)
- billing: reports, search
- search: 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 "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": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}} ]
correctagentic.tools.ledger-v1conf 100% · 958ms · $0.013 · 1955 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: $515
- alpha: $264
- lima: $285

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $151 from "alpha" to "lima"
2. pay $559 from "alpha" to "kilo"
3. pay $371 from "kilo" to "lima"
4. pay $240 from "lima" 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": "lima", "amount": 151}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 446}}, {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 559}}, {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 371}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 240}} ]
correctagentic.tools.context-load-v1conf 100% · 643ms · $0.034 · 3827 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 (229 records, format: id|customer|region|item|qty|status):
```
1873|acme|south|pump|73|paid
1740|juno|north|gasket|81|shipped
1744|ember|west|sensor|55|held
1412|ionic|north|rotor|54|shipped
1272|gale|south|panel|90|pending
1528|ionic|south|sensor|25|pending
1446|ember|east|rotor|61|paid
1249|birch|east|pump|41|pending
1682|dorian|east|panel|74|paid
1121|harbor|south|rotor|11|pending
1052|birch|north|cable|33|pending
1698|juno|south|cable|91|paid
1312|gale|south|rotor|78|shipped
1483|birch|east|panel|14|shipped
1041|acme|east|gasket|39|shipped
1369|cobalt|east|rotor|44|pending
1510|acme|west|panel|60|pending
1366|cobalt|west|pump|18|paid
1359|fulton|south|panel|88|held
1603|fulton|east|rotor|16|paid
1059|acme|west|frame|21|shipped
1624|gale|south|panel|16|paid
1061|ionic|north|pump|98|shipped
1340|dorian|west|rotor|74|held
1063|cobalt|east|gasket|51|shipped
1522|juno|east|cable|67|paid
1842|harbor|west|rotor|43|held
1111|acme|west|panel|70|shipped
1243|acme|south|cable|97|paid
1097|cobalt|east|valve|44|shipped
1596|acme|west|cable|25|paid
1770|cobalt|south|pump|63|held
1254|juno|south|sensor|65|pending
1209|dorian|north|cable|53|pending
1887|acme|north|sensor|57|pending
1859|birch|north|rotor|90|pending
1479|fulton|south|valve|14|shipped
1495|dorian|south|gasket|87|shipped
1886|cobalt|east|gasket|35|shipped
1234|fulton|west|frame|22|pending
1848|cobalt|west|frame|67|pending
1735|gale|east|panel|38|shipped
1529|cobalt|south|pump|24|shipped
1328|dorian|north|frame|46|shipped
1352|acme|east|cable|43|pending
1787|juno|west|frame|21|shipped
1536|birch|east|cable|55|shipped
1714|fulton|north|rotor|81|shipped
1098|ionic|south|panel|43|pending
1204|harbor|east|rotor|93|shipped
1626|harbor|south|panel|72|pending
1911|ember|south|cable|53|paid
1026|acme|south|rotor|23|shipped
1620|birch|west|panel|20|paid
1725|cobalt|south|panel|52|paid
1506|juno|west|valve|93|pending
1289|ember|north|cable|77|pending
1840|ember|north|valve|89|paid
1453|dorian|north|frame|46|pending
1071|harbor|north|frame|62|paid
1671|harbor|west|valve|82|paid
1213|harbor|west|panel|74|paid
1632|birch|east|valve|95|held
1441|cobalt|west|cable|13|pending
1865|harbor|west|rotor|71|held
1294|ionic|east|cable|89|paid
1390|dorian|east|pump|14|pending
1915|birch|north|valve|65|shipped
1314|dorian|south|sensor|77|pending
1472|fulton|south|pump|76|held
1567|dorian|west|pump|29|shipped
1756|ember|east|cable|63|pending
1720|cobalt|south|pump|76|paid
1900|gale|east|rotor|24|paid
1437|gale|south|frame|86|shipped
1383|dorian|west|panel|65|shipped
1260|ember|north|valve|89|paid
1878|gale|east|valve|77|held
1085|juno|east|panel|66|pending
1040|birch|east|valve|63|held
1622|birch|north|rotor|51|held
1834|cobalt|south|sensor|14|pending
1637|gale|south|rotor|57|shipped
1800|dorian|west|cable|60|paid
1417|gale|east|cable|50|paid
1344|cobalt|south|panel|61|paid
1881|ember|south|sensor|17|held
1664|dorian|south|pump|94|shipped
1836|harbor|east|pump|87|paid
1225|harbor|north|rotor|56|paid
1643|birch|west|panel|50|pending
1400|juno|east|valve|67|shipped
1732|ember|east|frame|20|shipped
1845|birch|north|rotor|53|shipped
1278|acme|north|panel|83|paid
1067|acme|south|rotor|26|paid
1750|harbor|north|pump|97|held
1270|juno|east|gasket|22|pending
1551|gale|west|rotor|16|paid
1172|harbor|east|frame|46|shipped
1351|ionic|east|rotor|46|paid
1503|acme|north|gasket|23|pending
1141|ionic|north|valve|31|pending
1835|fulton|south|frame|42|paid
1802|acme|south|cable|60|paid
1812|cobalt|south|frame|58|paid
1099|dorian|south|frame|45|held
1809|dorian|east|cable|78|pending
1087|acme|east|sensor|35|pending
1117|ember|south|panel|37|paid
1156|acme|north|sensor|58|held
1182|acme|west|sensor|58|pending
1193|harbor|west|panel|98|shipped
1692|acme|north|pump|81|held
1476|gale|east|gasket|11|held
1022|acme|south|valve|60|pending
1699|fulton|north|sensor|60|held
1334|juno|west|gasket|60|pending
1573|dorian|west|gasket|96|shipped
1793|acme|west|gasket|77|paid
1763|cobalt|south|rotor|98|shipped
1855|cobalt|east|sensor|52|held
1577|acme|west|cable|23|shipped
1032|acme|west|pump|64|pending
1128|fulton|north|rotor|99|paid
1852|harbor|south|frame|44|pending
1038|ember|west|frame|90|paid
1316|ember|north|pump|64|pending
1781|ionic|south|pump|32|shipped
1220|juno|south|cable|81|paid
1590|ember|north|sensor|47|pending
1025|acme|east|cable|81|pending
1636|harbor|west|cable|72|held
1695|acme|east|frame|96|pending
1392|ionic|east|cable|61|shipped
1819|harbor|south|panel|88|held
1721|gale|east|rotor|18|held
1608|dorian|west|sensor|54|pending
1543|cobalt|west|gasket|78|pending
1569|cobalt|west|pump|69|pending
1702|acme|north|rotor|54|held
1466|juno|south|panel|52|paid
1488|fulton|north|sensor|45|held
1228|acme|south|valve|81|held
1076|dorian|north|pump|37|paid
1291|harbor|west|gasket|77|paid
1171|birch|east|panel|90|pending
1465|juno|south|cable|14|shipped
1650|juno|south|sensor|56|held
1321|gale|west|valve|17|held
1138|gale|north|rotor|75|held
1480|harbor|north|cable|89|paid
1368|cobalt|west|rotor|70|paid
1905|fulton|east|gasket|88|pending
1306|cobalt|east|sensor|67|shipped
1215|birch|west|cable|75|shipped
1365|ionic|east|frame|24|shipped
1147|cobalt|north|panel|21|held
1430|gale|east|panel|23|shipped
1036|acme|south|frame|38|held
1777|ionic|south|gasket|63|paid
1259|cobalt|north|frame|23|held
1342|gale|east|rotor|63|paid
1709|gale|east|pump|95|paid
1011|acme|south|rotor|89|pending
1674|fulton|south|frame|74|held
1560|fulton|north|pump|24|shipped
1585|ember|east|rotor|45|held
1517|acme|west|cable|48|shipped
1584|ember|north|pump|26|held
1502|acme|west|frame|37|pending
1105|ionic|south|valve|60|pending
1210|gale|east|panel|40|pending
1680|birch|north|frame|86|paid
1421|juno|west|panel|92|shipped
1918|gale|north|panel|25|paid
1464|acme|north|pump|97|held
1651|ember|east|cable|51|pending
1822|gale|west|sensor|78|paid
1879|acme|south|rotor|42|shipped
1157|harbor|north|panel|81|pending
1691|juno|west|panel|79|shipped
1868|ember|north|gasket|29|pending
1031|acme|south|sensor|90|pending
1187|harbor|north|pump|88|held
1555|dorian|north|frame|53|paid
1229|dorian|north|panel|37|paid
1169|gale|north|pump|60|shipped
1612|fulton|south|cable|33|shipped
1178|gale|west|valve|79|paid
1594|harbor|south|pump|59|shipped
1018|acme|south|pump|77|shipped
1425|juno|south|cable|87|shipped
1828|acme|west|valve|34|pending
1205|acme|west|gasket|74|paid
1376|ionic|north|valve|61|held
1401|acme|east|sensor|18|shipped
1015|acme|east|gasket|29|pending
1677|ember|north|pump|65|paid
1463|ionic|south|panel|73|shipped
1685|birch|east|pump|41|pending
1548|fulton|east|rotor|13|pending
1490|ionic|south|panel|82|held
1080|birch|south|sensor|72|held
1615|dorian|south|valve|61|paid
1831|dorian|west|rotor|18|held
1711|gale|south|frame|20|pending
1398|acme|east|cable|99|paid
1199|fulton|north|frame|93|paid
1092|fulton|east|gasket|42|paid
1894|fulton|south|pump|98|pending
1657|ember|south|gasket|28|shipped
1301|ember|east|rotor|49|held
1597|gale|east|valve|11|pending
1219|cobalt|east|cable|24|paid
1153|fulton|south|rotor|34|shipped
1164|gale|east|cable|26|held
1487|birch|south|valve|28|held
1265|cobalt|east|sensor|49|pending
1284|cobalt|east|gasket|38|held
1045|cobalt|north|cable|85|held
1408|cobalt|west|cable|84|held
1168|acme|east|cable|91|held
1131|ember|west|gasket|73|pending
1239|fulton|north|gasket|96|pending
1341|cobalt|west|pump|21|paid
1460|juno|east|frame|68|paid
1652|fulton|west|pump|86|shipped
1679|ionic|west|cable|53|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 53, 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": 89}}, {"tool": "restock", "args": {"item": "valve", "qty": 60}}, {"tool": "restock", "args": {"item": "sensor", "qty": 90}} ]
correctagentic.tools.triage-v1conf 100% · 682ms · $0.011 · 1614 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 → silva
- infra → okafor
- data → haddad

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 5)
2. "webhooks not delivered" (category: infra, priority 5)
3. "webhooks not delivered" (category: infra, priority 5)
4. "card declined at checkout" (category: payments, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "silva"}} ]
SyntaxError: Unexpected end of JSON inputagentic.tools.context-load-v1conf · · · tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (290 records, format: id|customer|region|item|qty|status):
```
2267|gale|east|sensor|51|paid
1389|juno|south|gasket|48|pending
1820|fulton|west|gasket|66|paid
1424|gale|east|panel|39|shipped
1884|fulton|south|frame|28|pending
1663|dorian|north|cable|73|paid
2221|ember|east|sensor|75|paid
1490|birch|south|rotor|12|paid
2162|ionic|west|frame|36|pending
2186|fulton|north|pump|57|paid
1416|fulton|east|cable|51|held
1766|ember|north|panel|76|shipped
2161|acme|north|panel|89|paid
1942|fulton|east|pump|58|held
1553|fulton|west|rotor|42|paid
1354|acme|east|sensor|48|held
1874|ember|west|sensor|49|paid
2422|ember|north|panel|86|held
2045|acme|south|rotor|29|pending
1815|gale|east|valve|70|held
2256|ionic|east|frame|11|paid
1621|harbor|north|valve|98|held
2095|gale|west|panel|65|pending
1562|gale|south|panel|78|shipped
2036|cobalt|south|gasket|94|paid
1963|ionic|south|pump|15|paid
1479|ionic|east|cable|17|shipped
1877|acme|south|sensor|13|paid
1945|dorian|south|pump|89|shipped
1809|juno|east|panel|10|paid
1348|fulton|east|cable|30|shipped
1409|harbor|south|gasket|49|held
2084|birch|south|gasket|54|shipped
1440|dorian|north|pump|19|pending
2129|ember|north|sensor|78|shipped
1607|gale|north|frame|27|shipped
1975|fulton|east|valve|18|paid
1412|acme|north|sensor|98|shipped
2136|cobalt|east|valve|38|shipped
1951|harbor|south|sensor|85|paid
1325|harbor|north|gasket|90|pending
1742|acme|west|cable|36|pending
1505|dorian|east|frame|59|paid
1857|juno|south|valve|28|pending
1596|harbor|west|frame|90|shipped
2258|birch|south|cable|75|pending
1697|cobalt|west|rotor|60|pending
1520|ionic|west|gasket|45|pending
2009|ionic|east|gasket|45|paid
2374|fulton|south|frame|14|paid
1940|ember|west|cable|79|shipped
2100|cobalt|east|valve|26|paid
1538|acme|south|cable|79|held
2389|cobalt|east|sensor|90|paid
1614|dorian|north|frame|43|paid
1331|harbor|south|gasket|22|pending
2273|ionic|south|pump|68|paid
2113|acme|north|cable|73|paid
1660|juno|north|panel|16|pending
2063|dorian|east|valve|48|shipped
1906|ember|north|frame|31|shipped
1340|harbor|south|pump|85|paid
2165|gale|west|frame|51|paid
2418|gale|west|pump|61|held
2152|acme|west|cable|10|shipped
1374|juno|north|sensor|59|pending
1578|harbor|west|cable|67|pending
2452|fulton|west|gasket|99|paid
1889|cobalt|south|valve|93|shipped
1446|harbor|north|sensor|28|paid
2296|acme|north|frame|74|paid
2224|acme|east|sensor|21|held
2004|acme|south|valve|74|paid
2348|fulton|north|gasket|56|paid
2174|juno|north|pump|67|paid
1897|juno|south|pump|83|shipped
1600|ionic|east|pump|14|held
1912|gale|west|frame|72|pending
2366|ember|north|rotor|45|pending
1918|acme|south|panel|39|shipped
2358|harbor|west|panel|60|pending
2245|cobalt|west|sensor|36|pending
1425|dorian|west|frame|74|shipped
2440|acme|east|gasket|74|pending
2468|ember|east|rotor|36|pending
2459|juno|east|sensor|33|pending
2074|gale|west|panel|77|shipped
2398|dorian|south|panel|82|pending
1923|acme|south|sensor|66|held
1395|birch|east|cable|59|held
2134|fulton|south|pump|42|paid
1965|ionic|north|pump|48|held
1708|fulton|south|cable|65|paid
1627|fulton|north|sensor|73|shipped
2070|ember|south|frame|32|shipped
1652|ember|west|valve|50|held
1624|cobalt|south|frame|86|shipped
2091|fulton|south|cable|17|shipped
2246|ember|south|panel|68|paid
2262|fulton|east|panel|60|paid
1770|cobalt|east|pump|11|pending
2144|acme|west|panel|15|paid
1854|cobalt|west|pump|50|paid
2307|juno|east|pump|23|pending
1397|fulton|north|panel|82|pending
2428|fulton|east|rotor|94|paid
1913|acme|south|frame|81|shipped
1983|gale|west|rotor|43|pending
2179|harbor|west|gasket|25|pending
2407|birch|west|rotor|14|paid
1502|fulton|west|valve|42|held
1590|juno|south|panel|13|pending
2031|fulton|east|gasket|23|paid
1653|juno|north|sensor|95|shipped
2380|juno|east|frame|82|pending
1792|juno|east|rotor|84|pending
1404|gale|south|gasket|28|paid
1658|birch|north|sensor|25|shipped
2285|ember|south|cable|57|pending
1768|dorian|west|cable|42|held
1509|acme|east|cable|41|held
1329|harbor|south|panel|11|shipped
2344|dorian|north|sensor|54|pending
1704|acme|south|cable|23|paid
1475|ember|north|cable|16|shipped
2464|dorian|south|panel|56|shipped
2223|acme|east|frame|31|held
2079|acme|west|gasket|78|paid
2453|ember|east|frame|95|paid
1338|harbor|west|cable|58|pending
1456|cobalt|south|valve|86|paid
2088|cobalt|west|frame|62|held
1927|dorian|north|cable|11|held
2425|fulton|south|panel|85|paid
2035|juno|east|gasket|22|held
2236|ember|west|valve|62|shipped
1797|dorian|north|cable|84|held
1648|juno|east|panel|51|paid
1681|juno|north|cable|57|shipped
1594|ionic|east|pump|12|shipped
1787|ember|west|gasket|96|shipped
1361|cobalt|east|gasket|37|pending
2189|gale|south|pump|13|shipped
2243|dorian|west|rotor|81|held
2027|acme|west|pump|67|shipped
1584|fulton|south|frame|76|held
1639|acme|east|cable|55|paid
2112|birch|north|rotor|21|pending
1988|cobalt|east|gasket|74|held
1571|birch|south|sensor|87|pending
1517|acme|east|gasket|42|held
2331|dorian|east|gasket|46|shipped
1428|ionic|south|frame|25|held
1828|gale|south|cable|11|held
1836|birch|south|panel|31|held
2354|cobalt|north|gasket|80|held
2302|dorian|south|pump|26|paid
1453|birch|north|sensor|39|paid
1459|fulton|south|rotor|73|paid
2143|fulton|west|gasket|12|paid
1342|ember|north|rotor|20|held
1978|acme|south|frame|83|held
1669|dorian|south|panel|93|shipped
1632|juno|east|cable|71|held
2280|ionic|south|pump|95|held
1780|harbor|north|gasket|91|shipped
1484|cobalt|west|gasket|65|paid
1461|ionic|north|cable|54|shipped
2192|ionic|east|rotor|31|pending
1558|acme|east|valve|87|pending
1936|cobalt|west|valve|21|paid
1293|harbor|east|sensor|39|pending
2171|cobalt|east|cable|45|shipped
2026|cobalt|west|rotor|88|paid
1776|birch|east|sensor|43|held
1730|acme|south|cable|98|paid
2364|juno|north|rotor|97|pending
1295|harbor|south|sensor|80|shipped
1726|ember|east|valve|36|held
2085|harbor|east|rotor|91|held
1873|fulton|south|rotor|43|held
1754|ember|east|sensor|14|paid
1881|juno|west|rotor|25|pending
2057|fulton|south|gasket|33|pending
1932|dorian|east|frame|22|shipped
1531|harbor|east|cable|58|pending
1761|birch|east|panel|64|pending
2260|ionic|west|valve|34|pending
2289|juno|east|pump|17|pending
1707|ember|north|cable|66|paid
2241|acme|south|rotor|79|shipped
2443|harbor|south|frame|56|held
1803|gale|north|panel|19|held
2275|dorian|south|frame|45|shipped
1721|ionic|east|frame|68|shipped
2054|ionic|north|gasket|94|pending
1367|ember|west|rotor|49|paid
1312|harbor|south|cable|29|shipped
1383|harbor|south|gasket|58|held
2239|acme|north|cable|25|held
1516|cobalt|north|pump|89|pending
1748|birch|south|panel|24|held
1866|ember|west|valve|27|shipped
1435|gale|east|panel|82|paid
2395|birch|south|panel|24|paid
1958|birch|east|gasket|20|paid
2328|juno|north|frame|26|shipped
1301|harbor|south|rotor|80|pending
1715|cobalt|west|pump|53|pending
2106|dorian|east|frame|83|pending
2413|juno|west|pump|56|shipped
1996|cobalt|north|gasket|99|pending
2206|dorian|south|valve|17|pending
2213|juno|west|gasket|55|paid
2123|gale|north|frame|72|paid
2290|cobalt|north|rotor|44|held
1850|birch|west|panel|52|paid
2377|harbor|south|panel|53|pending
1465|harbor|west|cable|73|paid
1525|fulton|east|rotor|71|pending
1843|ionic|east|frame|34|shipped
2340|dorian|west|sensor|77|held
2365|juno|east|pump|32|held
1895|cobalt|west|gasket|60|pending
2204|fulton|west|panel|13|held
1634|fulton|north|sensor|28|held
1860|gale|east|rotor|48|held
1555|cobalt|north|pump|99|pending
1344|ember|north|cable|35|pending
2048|ember|west|rotor|45|pending
1852|harbor|north|pump|89|pending
2249|fulton|west|frame|44|pending
1532|gale|south|sensor|78|paid
2183|fulton|west|gasket|22|pending
1549|harbor|north|gasket|65|paid
2025|ember|north|cable|53|held
2199|dorian|west|valve|93|shipped
1376|fulton|west|gasket|44|shipped
1347|ember|west|gasket|39|shipped
1952|dorian|north|sensor|21|paid
2313|ember|east|gasket|13|held
1290|harbor|south|pump|11|pending
2327|harbor|south|valve|36|shipped
1471|gale|north|pump|22|held
1543|ember|east|frame|15|shipped
1644|fulton|west|panel|42|paid
2373|gale|west|pump|57|pending
2230|cobalt|south|pump|94|pending
1692|cobalt|north|panel|51|paid
1417|harbor|south|valve|93|held
1765|juno|west|gasket|36|held
2119|fulton|south|valve|18|held
1824|cobalt|east|panel|28|held
1319|harbor|south|rotor|74|pending
2110|birch|north|rotor|44|held
1670|juno|south|rotor|31|pending
2433|juno|north|frame|89|pending
2386|ionic|west|panel|63|pending
1567|acme|west|valve|66|pending
1629|juno|south|rotor|28|paid
1796|birch|north|valve|19|shipped
1997|harbor|west|frame|85|pending
2446|birch|north|frame|10|shipped
1685|cobalt|north|panel|50|paid
1900|birch|east|rotor|17|paid
1651|harbor|east|panel|28|held
1432|gale|north|cable|29|paid
1835|ember|west|valve|35|pending
2015|birch|east|sensor|65|shipped
1306|harbor|west|valve|80|pending
1992|acme|south|sensor|70|pending
2403|dorian|north|cable|61|shipped
2156|acme|west|panel|77|pending
1495|birch|south|pump|16|held
1735|ember|north|panel|57|shipped
1494|birch|east|pump|85|pending
1858|gale|east|panel|26|held
2214|fulton|west|valve|90|paid
2335|ionic|west|frame|67|shipped
1970|ember|east|cable|70|paid
1677|harbor|south|frame|87|pending
2021|gale|north|rotor|77|paid
1995|acme|west|valve|65|paid
1499|gale|north|sensor|17|held
2320|fulton|north|rotor|38|held
1775|dorian|west|sensor|47|shipped
2151|fulton|north|gasket|15|paid
1642|cobalt|south|panel|42|shipped
1452|juno|east|valve|88|paid
2040|cobalt|west|rotor|72|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" 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: (none extracted)
correctagentic.tools.ledger-v1conf 100% · 582ms · $0.012 · 1729 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $675
- oscar: $223
- tango: $524

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $315 from "oscar" to "tango"
2. pay $456 from "oscar" to "tango"
3. pay $154 from "echo" to "oscar"
4. pay $311 from "oscar" to "echo"
5. pay $514 from "echo" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 92}}, {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 315}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 456}}, {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 456}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 154}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 157}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 311}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 514}} ]
correctagentic.tools.triage-v1conf 100% · 586ms · $0.011 · 1549 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 → dubois
- payments → tanaka
- infra → rivera

INCIDENTS:
1. "cannot reset password" (category: auth, priority 4)
2. "cannot reset password" (category: auth, priority 4)
3. "webhooks not delivered" (category: infra, priority 2)
4. "locked out after 2FA change" (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": "cannot reset password", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}} ]
correctagentic.tools.deploy-v1conf 100% · 649ms · $0.005 · 692 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 100% · 597ms · $0.010 · 1475 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: $242
- oscar: $446
- lima: $456

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $511 from "oscar" to "alpha"
2. pay $340 from "lima" to "oscar"
3. pay $450 from "alpha" to "oscar"
4. pay $396 from "alpha" to "oscar"
5. pay $335 from "alpha" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 65}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 511}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 340}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 450}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 93}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 396}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 335}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 335}} ]
correctagentic.tools.triage-v1conf 95% · 523ms · $0.017 · 2650 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "refund double-charged" (category: payments, priority 9)
2. "uploads failing intermittently" (category: infra, priority 8)
3. "refund double-charged" (category: payments, priority 9)
4. "refund double-charged" (category: payments, 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": "refund double-charged", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "tanaka"}} ]
correctagentic.tools.context-load-v1conf 100% · 708ms · $0.023 · 2531 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 (165 records, format: id|customer|region|item|qty|status):
```
1969|birch|east|frame|78|shipped
1738|harbor|west|rotor|90|paid
1623|harbor|north|valve|38|pending
1831|ionic|east|pump|84|shipped
1932|fulton|south|valve|72|pending
1543|ember|south|sensor|58|held
1357|dorian|south|sensor|99|pending
1686|acme|south|valve|59|pending
1612|acme|west|pump|85|shipped
1458|ember|north|sensor|90|shipped
1836|gale|west|pump|39|paid
1656|gale|east|gasket|31|pending
1861|juno|west|cable|33|held
1513|juno|north|cable|41|held
1496|cobalt|south|gasket|31|pending
1972|cobalt|west|valve|80|shipped
1447|fulton|north|cable|89|held
1553|birch|west|pump|94|shipped
1390|dorian|west|sensor|29|pending
1487|dorian|east|frame|47|shipped
1990|acme|north|panel|86|paid
1465|cobalt|north|pump|23|paid
1367|dorian|west|rotor|34|pending
1964|dorian|east|frame|79|shipped
1607|juno|north|panel|82|paid
1951|ember|west|gasket|58|paid
1544|acme|north|pump|70|held
1545|ember|north|rotor|54|held
1750|dorian|east|frame|57|held
1596|fulton|east|rotor|92|paid
1721|dorian|south|gasket|76|paid
1431|ionic|east|panel|53|shipped
1655|cobalt|north|cable|88|pending
1818|dorian|south|cable|58|shipped
1590|birch|south|gasket|23|paid
1499|ionic|east|rotor|63|pending
1645|cobalt|north|valve|38|shipped
1647|birch|south|valve|15|pending
1629|juno|north|panel|62|pending
1620|ember|east|sensor|44|held
1669|cobalt|south|sensor|56|held
1885|fulton|east|gasket|39|held
1570|ember|north|sensor|84|pending
1868|gale|south|gasket|63|pending
1956|harbor|west|valve|27|held
1603|juno|south|cable|31|held
1563|fulton|south|frame|48|pending
1539|acme|north|frame|69|shipped
1953|ember|west|rotor|63|pending
1401|dorian|east|valve|50|pending
1585|dorian|north|frame|43|paid
1385|dorian|west|frame|38|shipped
1637|harbor|east|rotor|43|pending
1993|gale|east|panel|23|paid
1378|dorian|west|cable|93|pending
1412|dorian|north|sensor|73|pending
1430|cobalt|west|panel|37|paid
1986|harbor|south|sensor|87|pending
1755|acme|north|pump|45|pending
1615|acme|north|sensor|30|held
1492|dorian|west|frame|99|held
1765|harbor|east|gasket|10|paid
1921|cobalt|north|frame|31|pending
1672|juno|west|sensor|66|shipped
1494|ionic|east|frame|85|paid
1408|ember|north|frame|76|paid
1775|fulton|east|panel|43|held
1663|cobalt|north|valve|61|pending
1507|harbor|north|sensor|20|shipped
1996|dorian|west|pump|10|paid
1414|ember|north|rotor|85|pending
1692|acme|west|valve|92|shipped
1591|acme|west|rotor|65|held
1850|fulton|east|cable|51|pending
1727|dorian|east|frame|16|paid
1436|fulton|north|cable|51|held
1556|birch|south|rotor|52|held
1704|cobalt|west|cable|78|shipped
1936|harbor|north|sensor|14|held
1858|fulton|west|cable|69|pending
1395|dorian|south|valve|30|pending
1900|cobalt|south|pump|84|shipped
1814|juno|south|panel|18|pending
1796|dorian|east|valve|24|pending
1687|juno|north|frame|10|shipped
1873|acme|east|frame|97|held
1482|juno|south|frame|43|pending
1524|acme|north|gasket|57|paid
1707|harbor|south|sensor|81|shipped
1760|gale|south|gasket|21|shipped
1564|juno|west|gasket|25|shipped
1776|ionic|east|pump|19|shipped
1398|dorian|west|valve|27|paid
1529|juno|south|sensor|59|paid
1649|acme|east|rotor|12|held
1501|gale|south|pump|61|paid
1770|gale|east|pump|40|held
1696|gale|east|rotor|82|pending
1581|birch|west|sensor|56|paid
1792|ember|west|panel|84|paid
1821|ember|east|valve|19|held
1519|gale|north|rotor|89|shipped
1425|birch|east|sensor|49|held
1961|harbor|south|frame|92|held
1854|harbor|south|panel|28|held
1354|dorian|west|pump|63|pending
1382|dorian|east|frame|12|pending
1644|juno|south|pump|81|shipped
1734|birch|west|sensor|61|held
1843|fulton|east|frame|71|shipped
1730|juno|west|cable|57|shipped
1477|acme|east|panel|20|paid
1673|ionic|south|sensor|47|shipped
1370|dorian|north|gasket|64|pending
1926|ionic|east|cable|80|pending
1661|gale|east|cable|46|held
1723|acme|south|frame|49|paid
1575|cobalt|west|rotor|97|paid
1881|juno|south|valve|46|paid
1826|birch|north|cable|20|shipped
1748|fulton|east|valve|89|held
1709|dorian|north|cable|59|pending
1905|gale|south|frame|62|paid
1372|dorian|west|frame|43|held
1461|birch|west|pump|93|paid
1715|ionic|south|panel|73|pending
1550|juno|east|rotor|95|shipped
1945|ember|east|valve|11|shipped
1745|birch|south|sensor|95|held
2003|gale|south|valve|44|pending
1691|ember|north|gasket|81|paid
1703|gale|west|gasket|98|paid
1659|cobalt|north|rotor|92|pending
1682|ember|south|pump|27|pending
1533|juno|south|frame|67|pending
1887|dorian|east|frame|72|shipped
1783|acme|north|panel|26|pending
1807|dorian|north|panel|75|paid
1453|gale|east|panel|29|shipped
1726|harbor|east|gasket|86|pending
1893|acme|north|gasket|32|held
1878|juno|north|cable|17|held
1927|ember|east|gasket|66|pending
1712|ember|east|panel|97|pending
1464|ionic|west|cable|61|pending
1819|dorian|west|pump|97|paid
1916|birch|north|rotor|36|pending
1910|fulton|west|valve|92|shipped
1676|birch|west|cable|55|pending
1667|ionic|east|pump|58|held
1420|birch|east|frame|32|held
2008|dorian|east|cable|98|paid
1790|fulton|south|rotor|78|paid
1636|ember|east|rotor|24|paid
1441|cobalt|west|pump|41|held
1710|ionic|west|panel|65|shipped
1977|gale|west|valve|19|held
1364|dorian|west|valve|38|held
1967|birch|south|gasket|50|pending
1802|birch|south|panel|52|held
1470|harbor|north|frame|38|paid
1917|fulton|west|cable|32|pending
1428|ember|east|gasket|72|held
1979|ionic|north|pump|43|shipped
1939|fulton|west|sensor|24|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 47, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "pump", "qty": 63}}, {"tool": "cancel_order", "args": {"order_id": 1367}}, {"tool": "restock", "args": {"item": "cable", "qty": 93}}, {"tool": "cancel_order", "args": {"order_id": 1390}} ]
correctagentic.tools.deploy-v1conf 100% · 587ms · $0.010 · 1456 tok
question
You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1conf 100% · 513ms · $0.008 · 1170 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- delta: $466
- kilo: $166
- echo: $781

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $422 from "echo" to "kilo"
2. pay $175 from "echo" to "kilo"
3. pay $122 from "kilo" to "echo"
4. pay $172 from "kilo" to "delta"
5. pay $462 from "delta" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 422}}, {"tool": "transfer", "args": {"from": "echo", "to": "kilo", "amount": 175}}, {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 122}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 172}}, {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 462}} ]
correctagentic.tools.context-load-v1anchorconf 100% · 598ms · $0.036 · 4466 tok
model answer: [ {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": 1384}}, {"tool": "restock", "args": {"item": "frame", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1682}} ]
correctagentic.tools.triage-v1conf 100% · 574ms · $0.013 · 1848 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 → silva
- infra → novak
- data → rivera

INCIDENTS:
1. "cannot reset password" (category: auth, priority 4)
2. "uploads failing intermittently" (category: infra, priority 4)
3. "dashboard shows stale numbers" (category: data, priority 6)
4. "dashboard shows stale numbers" (category: data, priority 6)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}} ]
correctagentic.tools.deploy-v1anchorconf 100% · 493ms · $0.004 · 491 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.triage-v1anchorconf 100% · 1.2s · $0.009 · 1224 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.ledger-v1anchorconf 100% · 1.6s · $0.007 · 947 tok
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
code 49/60 correct
correctcode.trace.js-v1conf 100% · 517ms · $0.005 · 844 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 50
correctcode.trace.nested-v1conf 100% · 463ms · $0.019 · 3021 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 348
correctcode.trace.python-v1conf 100% · 421ms · $0.005 · 831 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 3
while total + v <= 86:
    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: 65
correctcode.trace.js-v1conf 100% · 450ms · $0.007 · 1171 tok
question
What does this JavaScript program log?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctcode.trace.nested-v1conf 100% · 444ms · $0.014 · 2270 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 415
wrongcode.trace.nested-v1conf · 484ms · $0.011 · 1765 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: (none extracted)
correctcode.trace.python-v1conf 100% · 472ms · $0.008 · 1240 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 69:
    if v % 6 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 52
correctcode.trace.js-v1conf 100% · 537ms · $0.004 · 664 tok
question
What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11];
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: 264
correctcode.trace.python-v1conf 100% · 655ms · $0.005 · 822 tok
question
What does this Python program print?

```python
total = 0
v = 12
while total + v <= 35:
    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: 20
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, 8):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.js-v1conf 100% · 636ms · $0.007 · 1008 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 210
correctcode.trace.nested-v1conf 100% · 456ms · $0.024 · 3914 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 138
correctcode.trace.python-v1conf 100% · 467ms · $0.007 · 1160 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 86:
    if v % 4 != 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: 80
correctcode.trace.js-v1conf 100% · 2.4s · $0.006 · 972 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 216
correctcode.trace.nested-v1conf 100% · 495ms · $0.019 · 3055 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 6 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: 373
correctcode.trace.python-v1conf 100% · 511ms · $0.004 · 533 tok
question
What does this Python program print?

```python
total = 0
v = 11
while total + v <= 42:
    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: 30
correctcode.trace.js-v1conf 100% · 496ms · $0.005 · 767 tok
question
What does this JavaScript program log?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
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: 440
correctcode.trace.python-v1conf 100% · 488ms · $0.012 · 1900 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 15
while total + v <= 99:
    if v % 6 != 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: 95
correctcode.trace.js-v1conf 100% · 490ms · $0.003 · 456 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 150
correctcode.trace.nested-v1conf 100% · 498ms · $0.032 · 5292 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) % 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: 156
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, 8):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.python-v1conf 100% · 509ms · $0.003 · 470 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 66:
    if v % 4 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 64
correctcode.trace.js-v1conf 100% · 466ms · $0.007 · 1135 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 180
TimeoutError: The operation was aborted due to timeoutcode.trace.nested-v1anchorconf · · · tok
model answer: (none extracted)
correctcode.trace.nested-v1conf 100% · 463ms · $0.022 · 3581 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) % 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: 150
correctcode.trace.python-v1conf 100% · 880ms · $0.005 · 754 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 71:
    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: 54
correctcode.trace.js-v1conf 100% · 685ms · $0.007 · 1069 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 270
correctcode.trace.python-v1anchorconf 100% · 534ms · $0.007 · 1185 tok
model answer: 0
correctcode.trace.js-v1anchorconf 100% · 502ms · $0.006 · 926 tok
model answer: 63
correctcode.trace.python-v1anchorconf 100% · 1.4s · $0.004 · 562 tok
model answer: 40
TimeoutError: The operation was aborted due to timeoutcode.trace.python-v1conf · · · tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 114:
    if v % 7 != 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: (none extracted)
correctcode.trace.js-v1conf 100% · 1.2s · $0.005 · 794 tok
question
What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7];
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: 84
correctcode.trace.nested-v1conf 100% · 528ms · $0.012 · 1892 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 * 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: 92
wrongcode.trace.nested-v1conf · 10.0s · · tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
TimeoutError: The operation was aborted due to timeoutcode.trace.python-v1conf · · · tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 1
while total + v <= 86:
    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: (none extracted)
correctcode.trace.js-v1conf 100% · 522ms · $0.005 · 797 tok
question
What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 252
correctcode.trace.python-v1conf 100% · 1.9s · $0.005 · 762 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 102:
    if v % 7 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 0
correctcode.trace.js-v1conf 100% · 1.8s · $0.003 · 405 tok
question
What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
const out = arr
  .map(n => n * 3)
  .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: 36
correctcode.trace.nested-v1conf 100% · 853ms · $0.011 · 1746 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 84
correctcode.trace.nested-v1conf 100% · 548ms · $0.024 · 3954 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 171
correctcode.trace.js-v1conf 100% · 836ms · $0.006 · 921 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 * 6)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 450
TimeoutError: The operation was aborted due to timeoutcode.trace.js-v1conf · · · tok
question
What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.python-v1conf 100% · 2.4s · $0.009 · 1370 tok
question
What does this Python program print?

```python
total = 0
v = 5
while total + v <= 49:
    if v % 5 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 39
wrongcode.trace.nested-v1conf 100% · 511ms · $0.034 · 5549 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 271
correctcode.trace.js-v1conf 100% · 575ms · $0.010 · 1575 tok
question
What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10];
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: 324
correctcode.trace.python-v1conf 100% · 520ms · $0.011 · 1824 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 2
while total + v <= 87:
    if v % 4 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
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, 6):
    for j in range(1, 8):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.nested-v1conf 100% · 906ms · $0.017 · 2722 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 70
correctcode.trace.python-v1conf 100% · 752ms · $0.006 · 921 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 2
while total + v <= 73:
    if v % 3 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 48
correctcode.trace.js-v1conf 100% · 973ms · $0.006 · 869 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 60
correctcode.trace.nested-v1conf 100% · 1.1s · $0.026 · 4224 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 185
correctcode.trace.python-v1conf 100% · 518ms · $0.007 · 1037 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 9
while total + v <= 86:
    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: 72
correctcode.trace.nested-v1conf 100% · 483ms · $0.048 · 7907 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) % 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: 151
correctcode.trace.js-v1conf 100% · 477ms · $0.007 · 1120 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 140
correctcode.trace.python-v1conf 100% · 477ms · $0.004 · 657 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 15
while total + v <= 33:
    if v % 7 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 15
TimeoutError: The operation was aborted due to timeoutcode.trace.python-v1anchorconf · · · tok
model answer: (none extracted)
correctcode.trace.js-v1conf 100% · 913ms · $0.006 · 987 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 126
correctcode.trace.js-v1anchorconf 100% · 469ms · $0.006 · 956 tok
model answer: 63
correctcode.trace.nested-v1anchorconf 100% · 1.1s · $0.011 · 1760 tok
model answer: 283
correctcode.trace.python-v1anchorconf 100% · 667ms · $0.006 · 1006 tok
model answer: 40
instruction following 45/60 correct
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "ember" and the last word must be "cedar".
3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "zephyr" and the last word must be "flint".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "drift" and the last word must be "falcon".
3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.acronym-v1conf 100% · 467ms · $0.002 · 214 tok
question
Take the second letter of each of these words, in order: nova, lumen, drift, delta, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OUREA
correctif.format.repeat-v1conf 100% · 884ms · $0.002 · 348 tok
question
Write the word "quartz" in uppercase form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ-QUARTZ
correctif.format.acronym-v1conf 100% · 458ms · $0.002 · 255 tok
question
Take the third letter of each of these words, in order: zephyr, delta, echo, basalt, 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: PLHSI
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "echo" and the last word must be "lumen".
3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.repeat-v1conf 100% · 652ms · $0.001 · 180 tok
question
Write the word "prism" 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: PRISM_PRISM_PRISM
correctif.constraints.stack-v1conf 100% · 447ms · $0.004 · 554 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "basalt" and the last word must be "comet".
3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: basalt cold mornings bring frost to the orbit of earth, a silent orbit around the winter sky, like a bright comet
correctif.format.acronym-v1conf 100% · 517ms · $0.001 · 187 tok
question
Take the third letter of each of these words, in order: orbit, delta, tundra, ember. 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: BLNB
correctif.format.repeat-v1conf 100% · 685ms · $0.002 · 242 tok
question
Write the word "prism" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PRISM/PRISM/PRISM/PRISM/PRISM/PRISM/PRISM
correctif.format.acronym-v1conf 100% · 495ms · $0.001 · 195 tok
question
Take the first letter of each of these words, in order: echo, orbit, basalt, tundra, nova, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EOBTNC
correctif.format.repeat-v1conf 100% · 568ms · $0.002 · 291 tok
question
Write the word "zephyr" in capitalized form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "orbit" and the last word must be "basalt".
3. Use the word "comet" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.constraints.stack-v1conf 100% · 472ms · $0.004 · 594 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "nova" and the last word must be "ember".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova lights the city as a falcon flies above tall buildings where another falcon watches the streets glow with ember
correctif.format.acronym-v1conf 100% · 526ms · $0.001 · 178 tok
question
Take the first letter of each of these words, in order: orbit, lumen, zephyr, ember, prism, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OLZEPC
correctif.format.repeat-v1conf 100% · 546ms · $0.002 · 258 tok
question
Write the word "quartz" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz-quartz-quartz-quartz-quartz-quartz-quartz-quartz
correctif.format.acronym-v1conf 100% · 518ms · $0.002 · 204 tok
question
Take the third letter of each of these words, in order: flint, tundra, delta, cedar, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: INLDM
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "delta" and the last word must be "nova".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.repeat-v1conf 100% · 655ms · $0.001 · 198 tok
question
Write the word "quartz" 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: QUARTZ-QUARTZ-QUARTZ
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1anchorconf · · · tok
model answer: (none extracted)
correctif.format.acronym-v1conf 100% · 561ms · $0.001 · 164 tok
question
Take the second letter of each of these words, in order: delta, comet, flint, basalt, ember, 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: EOLAMU
correctif.format.repeat-v1conf 100% · 475ms · $0.001 · 198 tok
question
Write the word "flint" in uppercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FLINT/FLINT/FLINT/FLINT/FLINT/FLINT
correctif.constraints.stack-v1conf 100% · 466ms · $0.004 · 590 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "tundra" and the last word must be "comet".
3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra city sleeps under stars while zephyr winds whisper through empty streets and another zephyr chases a bright red comet
correctif.format.acronym-v1conf 100% · 893ms · $0.001 · 180 tok
question
Take the first letter of each of these words, in order: lumen, nova, basalt, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: LNBF
correctif.format.repeat-v1conf 100% · 469ms · $0.002 · 338 tok
question
Write the word "lumen" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: LUMEN/LUMEN/LUMEN/LUMEN/LUMEN/LUMEN/LUMEN/LUMEN
correctif.format.acronym-v1conf 100% · 879ms · $0.002 · 199 tok
question
Take the third letter of each of these words, in order: flint, drift, zephyr, lumen, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: IIPMS
correctif.format.repeat-v1anchorconf 100% · 548ms · $0.002 · 208 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 1.4s · $0.002 · 231 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 1.4s · $0.001 · 147 tok
model answer: ZDFQ
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "zephyr" and the last word must be "delta".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.constraints.stack-v1conf 100% · 498ms · $0.006 · 851 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "orbit" and the last word must be "nova".
3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbit the ancient machine hums as a comet passes by, its old brass gears slowly turning like a comet toward nova
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "nova" and the last word must be "ember".
3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.acronym-v1conf 100% · 484ms · $0.001 · 189 tok
question
Take the third letter of each of these words, in order: flint, prism, echo, comet, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: IIHMP
correctif.format.repeat-v1conf 100% · 1.6s · $0.001 · 176 tok
question
Write the word "tundra" in lowercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra-tundra-tundra-tundra-tundra-tundra-tundra-tundra-tundra
wrongif.constraints.stack-v1conf · 2.0s · $0.002 · 215 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "basalt" and the last word must be "lumen".
3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.acronym-v1conf 100% · 526ms · $0.001 · 124 tok
question
Take the first letter of each of these words, in order: prism, ember, quartz, orbit, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PEQOF
correctif.format.repeat-v1conf 100% · 461ms · $0.001 · 205 tok
question
Write the word "nova" in uppercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NOVA_NOVA_NOVA_NOVA
correctif.constraints.stack-v1conf 100% · 1.7s · $0.003 · 467 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "drift" and the last word must be "quartz".
3. Use the word "prism" 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: drift snow forms prism prism prism on cold winter mornings when pale white light shines through quartz
correctif.format.acronym-v1conf 100% · 530ms · $0.001 · 186 tok
question
Take the third letter of each of these words, in order: cedar, comet, delta, 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: DMLN
correctif.format.repeat-v1conf 100% · 473ms · $0.001 · 200 tok
question
Write the word "echo" in capitalized form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ECHO/ECHO/ECHO/ECHO/ECHO/ECHO/ECHO
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "tundra" and the last word must be "falcon".
3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.acronym-v1conf 100% · 605ms · $0.001 · 168 tok
question
Take the first letter of each of these words, in order: quartz, basalt, falcon, lumen, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: QBFLC
correctif.format.repeat-v1conf 100% · 553ms · $0.001 · 188 tok
question
Write the word "flint" 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: FLINT_FLINT_FLINT
correctif.format.acronym-v1conf 100% · 488ms · $0.001 · 154 tok
question
Take the second letter of each of these words, in order: prism, falcon, drift, quartz, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: RARUE
correctif.format.repeat-v1conf 100% · 473ms · $0.001 · 165 tok
question
Write the word "echo" 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: ECHO/ECHO/ECHO/ECHO
correctif.constraints.stack-v1conf 100% · 601ms · $0.004 · 548 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "drift" and the last word must be "basalt".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: drift the old machine hums as falcon wings touch falcon gears carved from dark cold hard grey basalt
correctif.format.acronym-v1conf 100% · 553ms · $0.001 · 148 tok
question
Take the first letter of each of these words, in order: cedar, tundra, basalt, 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: CTBO
correctif.format.repeat-v1conf 100% · 680ms · $0.002 · 211 tok
question
Write the word "tundra" 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: tundra_tundra_tundra_tundra_tundra_tundra
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1conf · · · tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "orbit" and the last word must be "cedar".
3. Use the word "delta" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
TimeoutError: The operation was aborted due to timeoutif.constraints.stack-v1anchorconf · · · tok
model answer: (none extracted)
wrongif.format.acronym-v1conf 100% · 724ms · $0.001 · 195 tok
question
Take the second letter of each of these words, in order: lumen, falcon, comet, ember, 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: UAOMB
correctif.format.repeat-v1conf 100% · 497ms · $0.002 · 267 tok
question
Write the word "echo" in lowercase 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: echo_echo_echo_echo
correctif.constraints.stack-v1conf 100% · 496ms · $0.004 · 645 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "falcon" and the last word must be "zephyr".
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: falcon flies above the dark city streets where cedar trees stand tall and cedar scents drift through the cool night air zephyr
wrongif.format.acronym-v1conf 100% · 953ms · $0.002 · 207 tok
question
Take the third letter of each of these words, in order: orbit, tundra, delta, flint, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BNILM
correctif.format.repeat-v1conf 100% · 838ms · $0.002 · 313 tok
question
Write the word "basalt" in capitalized form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BASALT_BASALT_BASALT_BASALT_BASALT_BASALT_BASALT_BASALT
correctif.format.acronym-v1conf 100% · 557ms · $0.002 · 206 tok
question
Take the second letter of each of these words, in order: flint, prism, zephyr, 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: LREAO
correctif.format.repeat-v1anchorconf 100% · 561ms · $0.002 · 291 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 555ms · $0.002 · 283 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 1.9s · $0.001 · 173 tok
model answer: ZDFQ
knowledge 59/60 correct
TimeoutError: The operation was aborted due to timeoutknowledge.fr.factbank-v2conf · · · 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 98% · 617ms · $0.001 · 102 tok
question
Name 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% · 626ms · $0.001 · 91 tok
question
Identify the capital of Switzerland.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 589ms · $0.002 · 220 tok
question
Identify the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 537ms · $0.001 · 146 tok
question
Identify the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 976ms · $0.001 · 77 tok
question
What is the Nigerian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 683ms · $0.001 · 144 tok
question
What is the writer of the novel "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.001 · 121 tok
question
Name 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% · 840ms · $0.001 · 139 tok
question
What is the writer of the novel "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 776ms · $0.001 · 99 tok
question
What is the author of "One Hundred Years of Solitude"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 505ms · $0.001 · 156 tok
question
What is 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% · 484ms · $0.001 · 198 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% · 472ms · $0.001 · 93 tok
question
Identify the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.001 · 72 tok
question
Name the capital of Canada.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 458ms · $0.001 · 127 tok
question
Name 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% · 640ms · $0.001 · 120 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% · 482ms · $0.001 · 75 tok
question
What is the chemical element with symbol Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 671ms · $0.001 · 143 tok
question
What is the capital of Kazakhstan?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 476ms · $0.001 · 130 tok
question
Name the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 568ms · $0.001 · 76 tok
question
Name the Canadian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 477ms · $0.001 · 149 tok
question
What is the chemical element with symbol Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 565ms · $0.001 · 147 tok
question
Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 658ms · $0.001 · 168 tok
question
Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 708ms · $0.001 · 157 tok
question
Name the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 534ms · $0.001 · 190 tok
question
Name the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 95% · 918ms · $0.001 · 107 tok
question
What is 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-v2anchorconf 100% · 946ms · $0.001 · 137 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 605ms · $0.001 · 86 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 1.4s · $0.001 · 136 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 1.4s · $0.001 · 103 tok
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 703ms · $0.001 · 143 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% · 575ms · $0.001 · 76 tok
question
Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 473ms · $0.001 · 138 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% · 731ms · $0.001 · 96 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% · 451ms · $0.001 · 92 tok
question
What is the element whose symbol is Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 517ms · $0.001 · 137 tok
question
Identify the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 1.6s · $0.001 · 161 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% · 3.6s · $0.001 · 133 tok
question
What is 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% · 1.4s · $0.001 · 126 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-v2conf 100% · 456ms · $0.001 · 97 tok
question
What is the chemical element with symbol Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 458ms · $0.001 · 117 tok
question
Name 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% · 582ms · $0.001 · 161 tok
question
Identify the element whose symbol is W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 905ms · $0.001 · 137 tok
question
What is the author of "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 629ms · $0.001 · 104 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% · 511ms · $0.001 · 119 tok
question
What is the author of "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 602ms · $0.001 · 136 tok
question
Name the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 761ms · $0.001 · 157 tok
question
Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 499ms · $0.001 · 117 tok
question
Name 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% · 2.6s · $0.001 · 133 tok
question
What is 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% · 583ms · $0.001 · 167 tok
question
Identify the capital of Myanmar.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 754ms · $0.001 · 129 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% · 789ms · $0.001 · 152 tok
question
Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 606ms · $0.001 · 199 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% · 560ms · $0.001 · 78 tok
question
What is the capital of Switzerland?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 619ms · $0.001 · 134 tok
question
Identify the capital of Canada.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 589ms · $0.001 · 145 tok
question
What is the element whose symbol is Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 518ms · $0.001 · 119 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 563ms · $0.001 · 108 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 774ms · $0.001 · 147 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 806ms · $0.001 · 129 tok
model answer: Lead
math 53/60 correct
TimeoutError: The operation was aborted due to timeoutmath.counterfactual.base-v1conf · · · tok
question
Work strictly in base 9. Multiply the base-9 numbers 36 and 64. 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: (none extracted)
correctmath.chained.pipeline-v1conf 100% · 1.7s · $0.003 · 412 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 23 × 76.
Step 2: Q = P × 7 − 361.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1699
correctmath.counterfactual.base-v1conf 100% · 613ms · $0.004 · 583 tok
question
Work strictly in base 9. Multiply the base-9 numbers 53 and 108. 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: 5766
correctmath.percent.chain-v2conf 100% · 476ms · $0.004 · 566 tok
question
An inventory starts at 43000 units. The delivery van has a 78-liter fuel tank. In the first month the inventory grows by 18%. A rival firm shipped 76 unrelated parcels the same week. The next month it shrinks by 40%, and the month after it grows by 32%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 40186.08
correctmath.algebra.system-v2conf 100% · 541ms · $0.002 · 335 tok
question
Solve the system, then answer the derived question.

8x + 8y = 56
7x − 8y = 334

What is the value of 6x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 194
correctmath.arith.chain-v2conf 100% · 641ms · $0.005 · 794 tok
question
Calculate the following. Show your reasoning, then answer.

(((94 × 23 − 714) × 5 + 8150) − 75 × 17) × 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: 98805
correctmath.chained.pipeline-v1conf 100% · 526ms · $0.002 · 333 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 13 × 17.
Step 2: Q = P × 4 − 783.
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: 35
correctmath.percent.chain-v2conf 100% · 763ms · $0.002 · 345 tok
question
An inventory starts at 66000 units. The warehouse was painted 125 years ago. In the first month the inventory grows by 25%. A rival firm shipped 130 unrelated parcels the same week. The next month it shrinks by 12%, and the month after it grows by 21%. 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: 87846
correctmath.algebra.system-v2conf 100% · 572ms · $0.004 · 540 tok
question
Solve the system, then answer the derived question.

3x + 7y = -76
3x − 8y = 119

What is the value of 4x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 59
correctmath.arith.chain-v2conf 100% · 602ms · $0.002 · 306 tok
question
Compute the value of the following expression.

(((48 × 43 − 222) × 7 + 3975) − 93 × 21) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 89496
correctmath.chained.pipeline-v1conf 100% · 520ms · $0.003 · 396 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 25 × 80.
Step 2: Q = P × 3 − 439.
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: 1855
correctmath.counterfactual.base-v1conf 100% · 1.1s · $0.003 · 537 tok
question
Work strictly in base 9. Add the base-9 numbers 1583 and 2712. 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: 4405
correctmath.percent.chain-v2conf 100% · 448ms · $0.003 · 355 tok
question
An inventory starts at 97000 units. The warehouse was painted 142 years ago. In the first month the inventory grows by 24%. Each pallet weighs about 87 grams more when wet. The next month it shrinks by 18%, and the month after it grows by 22%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 120328.112
correctmath.algebra.system-v2conf 100% · 456ms · $0.002 · 360 tok
question
Solve the system, then answer the derived question.

4x + 5y = -78
6x − 7y = -146

What is the value of 4x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -92
correctmath.arith.chain-v2conf 100% · 521ms · $0.004 · 677 tok
question
Work out the exact value of this expression.

(((58 × 35 − 820) × 5 + 2394) − 25 × 39) × 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: 52283
correctmath.counterfactual.base-v1conf 100% · 2.0s · $0.003 · 483 tok
question
Work strictly in base 7. Add the base-7 numbers 4426 and 4130. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 11556
correctmath.chained.pipeline-v1conf 100% · 1.1s · $0.002 · 244 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 56 × 47.
Step 2: Q = P × 4 − 240.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1474
correctmath.algebra.system-v2conf 100% · 492ms · $0.009 · 1398 tok
question
Solve the system, then answer the derived question.

6x + 7y = -191
8x − 2y = 142

What is the value of 6x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 159
correctmath.percent.chain-v2conf 100% · 587ms · $0.002 · 330 tok
question
An inventory starts at 9000 units. Each pallet weighs about 106 grams more when wet. In the first month the inventory grows by 12%. The company was founded 138 kilometers from the port. The next month it shrinks by 38%, and the month after it grows by 32%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 8249.47
correctmath.arith.chain-v2conf 100% · 843ms · $0.004 · 626 tok
question
Work out the exact value of this expression.

(((82 × 79 − 422) × 6 + 5777) − 26 × 74) × 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: 281323
correctmath.counterfactual.base-v1conf 100% · 609ms · $0.005 · 721 tok
question
Work strictly in base 8. Add the base-8 numbers 1246 and 5415. 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: 6663
correctmath.chained.pipeline-v1conf 100% · 523ms · $0.003 · 476 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 31 × 73.
Step 2: Q = P × 7 − 377.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3096
correctmath.percent.chain-v2conf 100% · 543ms · $0.003 · 360 tok
question
An inventory starts at 52000 units. Each pallet weighs about 157 grams more when wet. In the first month the inventory grows by 25%. The company was founded 108 kilometers from the port. The next month it shrinks by 11%, and the month after it grows by 31%. 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: 75783.5
correctmath.algebra.system-v2conf 100% · 561ms · $0.004 · 686 tok
question
Solve the system, then answer the derived question.

4x + 7y = -296
9x − 6y = -144

What is the value of 3x − 6y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 48
correctmath.arith.chain-v2conf 100% · 479ms · $0.003 · 403 tok
question
Work out the exact value of this expression.

(((40 × 67 − 627) × 4 + 5342) − 53 × 75) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 19158
correctmath.counterfactual.base-v1anchorconf 100% · 550ms · $0.007 · 1067 tok
model answer: 11236
correctmath.chained.pipeline-v1conf 100% · 529ms · $0.003 · 462 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 55 × 57.
Step 2: Q = P × 3 − 991.
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: 1057
wrongmath.percent.chain-v2anchorconf 100% · 647ms · $0.003 · 429 tok
model answer: 61896.62
correctmath.arith.chain-v2anchorconf 100% · 1.4s · $0.005 · 823 tok
model answer: 108153
correctmath.algebra.system-v2anchorconf 100% · 1.4s · $0.003 · 505 tok
model answer: 87
TimeoutError: The operation was aborted due to timeoutmath.counterfactual.base-v1conf · · · tok
question
Work strictly in base 8. Multiply the base-8 numbers 55 and 30. 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: (none extracted)
TimeoutError: The operation was aborted due to timeoutmath.percent.chain-v2conf · · · tok
question
An inventory starts at 2000 units. A rival firm shipped 58 unrelated parcels the same week. In the first month the inventory grows by 28%. Each pallet weighs about 9 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: (none extracted)
correctmath.chained.pipeline-v1conf 100% · 587ms · $0.004 · 528 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 87 × 43.
Step 2: Q = P × 8 − 772.
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: 3648
correctmath.counterfactual.base-v1conf 100% · 559ms · $0.004 · 543 tok
question
Work strictly in base 11. Add the base-11 numbers 336 and 1AA9. 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: 2334
correctmath.algebra.system-v2conf 100% · 580ms · $0.006 · 927 tok
question
Solve the system, then answer the derived question.

2x + 3y = 5
2x − 5y = 141

What is the value of 6x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 219
correctmath.percent.chain-v2conf 100% · 451ms · $0.002 · 228 tok
question
An inventory starts at 86000 units. The delivery van has a 111-liter fuel tank. In the first month the inventory grows by 30%. The warehouse was painted 158 years ago. The next month it shrinks by 14%, and the month after it grows by 34%. 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: 128838.32
correctmath.arith.chain-v2conf 100% · 505ms · $0.007 · 1103 tok
question
Compute the value of the following expression.

(((27 × 56 − 110) × 3 + 2613) − 90 × 97) × 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: -5733
correctmath.chained.pipeline-v1conf 100% · 962ms · $0.002 · 330 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 39 × 73.
Step 2: Q = P × 3 − 562.
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: 2661
correctmath.percent.chain-v2conf 100% · 609ms · $0.003 · 428 tok
question
An inventory starts at 46000 units. The warehouse was painted 122 years ago. In the first month the inventory grows by 20%. A rival firm shipped 171 unrelated parcels the same week. The next month it shrinks by 28%, and the month after it grows by 45%. 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: 57628.8
correctmath.algebra.system-v2conf 100% · 693ms · $0.006 · 956 tok
question
Solve the system, then answer the derived question.

4x + 8y = -112
3x − 7y = 85

What is the value of 5x − 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: 55
TimeoutError: The operation was aborted due to timeoutmath.percent.chain-v2conf · · · tok
question
An inventory starts at 29000 units. The delivery van has a 164-liter fuel tank. In the first month the inventory grows by 36%. The delivery van has a 71-liter fuel tank. The next month it shrinks by 8%, and the month after it grows by 27%. 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: (none extracted)
correctmath.arith.chain-v2conf 100% · 499ms · $0.005 · 767 tok
question
Work out the exact value of this expression.

(((29 × 75 − 508) × 8 + 9422) − 21 × 39) × 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: 153573
correctmath.chained.pipeline-v1conf 100% · 542ms · $0.003 · 475 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 48 × 22.
Step 2: Q = P × 4 − 380.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 550
correctmath.counterfactual.base-v1conf 100% · 636ms · $0.004 · 662 tok
question
Work strictly in base 7. Add the base-7 numbers 11303 and 2541. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 14144
TimeoutError: The operation was aborted due to timeoutmath.counterfactual.base-v1conf · · · tok
question
Work strictly in base 8. Add the base-8 numbers 777 and 2444. 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: (none extracted)
correctmath.algebra.system-v2conf 100% · 946ms · $0.004 · 682 tok
question
Solve the system, then answer the derived question.

2x + 6y = 198
2x − 9y = -147

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: 65
TimeoutError: The operation was aborted due to timeoutmath.percent.chain-v2conf · · · tok
question
An inventory starts at 73000 units. The warehouse was painted 19 years ago. In the first month the inventory grows by 39%. Each pallet weighs about 110 grams more when wet. The next month it shrinks by 38%, and the month after it grows by 33%. 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: (none extracted)
correctmath.arith.chain-v2conf 100% · 510ms · $0.005 · 769 tok
question
Calculate the following. Show your reasoning, then answer.

(((81 × 59 − 585) × 3 + 9925) − 83 × 34) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 39370
correctmath.chained.pipeline-v1conf 100% · 774ms · $0.002 · 257 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 38 × 52.
Step 2: Q = P × 5 − 660.
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: 3074
correctmath.counterfactual.base-v1conf 100% · 478ms · $0.005 · 782 tok
question
Work strictly in base 7. Add the base-7 numbers 6344 and 10350. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 20024
correctmath.algebra.system-v2conf 100% · 484ms · $0.003 · 396 tok
question
Solve the system, then answer the derived question.

6x + 4y = -280
2x − 7y = 90

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: -18
correctmath.arith.chain-v2conf 100% · 632ms · $0.003 · 375 tok
question
Work out the exact value of this expression.

(((69 × 91 − 623) × 4 + 2615) − 43 × 11) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 49532
correctmath.chained.pipeline-v1conf 100% · 484ms · $0.005 · 731 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 51 × 34.
Step 2: Q = P × 3 − 904.
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: 1434
correctmath.arith.chain-v2conf 100% · 821ms · $0.011 · 1727 tok
question
Work out the exact value of this expression.

(((47 × 65 − 277) × 6 + 4321) − 53 × 56) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108126
correctmath.algebra.system-v2conf 100% · 970ms · $0.003 · 406 tok
question
Solve the system, then answer the derived question.

4x + 2y = -92
6x − 4y = -320

What is the value of 5x − 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: -310
correctmath.counterfactual.base-v1anchorconf 100% · 672ms · $0.004 · 613 tok
model answer: 11236
correctmath.chained.pipeline-v1conf 100% · 456ms · $0.003 · 392 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 45 × 56.
Step 2: Q = P × 3 − 147.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1485
correctmath.arith.chain-v2anchorconf 100% · 512ms · $0.006 · 889 tok
model answer: 108153
correctmath.percent.chain-v2anchorconf 100% · 474ms · $0.002 · 316 tok
model answer: 61896.52
correctmath.algebra.system-v2anchorconf 100% · 685ms · $0.002 · 342 tok
model answer: 87
multilingual 59/60 correct
correctmultilingual.wordnum-v1conf 100% · 498ms · $0.001 · 194 tok
question
A number is written in French: « cinq cent soixante-seize ». Another is written in Spanish: « novecientos 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: 1479
correctmultilingual.numword-v2conf 100% · 509ms · $0.002 · 234 tok
question
Compute 385 + 100, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos ochenta y cinco
correctmultilingual.wordnum-v1conf 100% · 817ms · $0.002 · 244 tok
question
A number is written in French: « deux cent quatre-vingt-seize ». Another is written in Spanish: « quinientos 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: -249
correctmultilingual.wordnum-v1conf 100% · 506ms · $0.002 · 256 tok
question
A number is written in French: « six cent quatre-vingt-deux ». Another is written in Spanish: « ochocientos 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: 1517
correctmultilingual.numword-v2conf 100% · 541ms · $0.001 · 181 tok
question
Compute 74 + 346, 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 vingt
correctmultilingual.numword-v2conf 100% · 524ms · $0.001 · 161 tok
question
Compute 258 + 136, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos noventa y cuatro
correctmultilingual.wordnum-v1conf 100% · 1.7s · $0.002 · 232 tok
question
A number is written in French: « quatre cent quatre-vingt-quatre ». Another is written in Spanish: « ochocientos setenta 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: -394
correctmultilingual.numword-v2conf 100% · 533ms · $0.002 · 259 tok
question
Compute 88 + 329, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent dix-sept
correctmultilingual.wordnum-v1conf 100% · 439ms · $0.001 · 188 tok
question
A number is written in French: « trois cent trente-six ». Another is written in Spanish: « setecientos dieciséis ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -380
correctmultilingual.numword-v2conf 100% · 502ms · $0.001 · 169 tok
question
Compute 264 + 191, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos cincuenta y cinco
correctmultilingual.wordnum-v1conf 100% · 586ms · $0.002 · 262 tok
question
A number is written in French: « neuf cent soixante et onze ». Another is written in Spanish: « ochocientos veintiocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 143
correctmultilingual.numword-v2conf 95% · 1.3s · $0.002 · 302 tok
question
Compute 347 + 224, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent soixante et onze
correctmultilingual.wordnum-v1conf 100% · 506ms · $0.002 · 231 tok
question
A number is written in French: « soixante-sept ». Another is written in Spanish: « 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: 153
correctmultilingual.numword-v2conf 100% · 505ms · $0.001 · 170 tok
question
Compute 177 + 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: quinientos veintinueve
correctmultilingual.wordnum-v1conf 100% · 1.4s · $0.001 · 189 tok
question
A number is written in French: « six cent cinq ». Another is written in Spanish: « quinientos noventa 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: 7
correctmultilingual.numword-v2conf 100% · 634ms · $0.002 · 227 tok
question
Compute 356 + 288, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos cuarenta y cuatro
correctmultilingual.wordnum-v1conf 100% · 542ms · $0.002 · 283 tok
question
A number is written in French: « deux cent trente ». Another is written in Spanish: « seiscientos cincuenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 889
correctmultilingual.numword-v2conf 100% · 658ms · $0.001 · 169 tok
question
Compute 331 + 249, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent quatre-vingts
correctmultilingual.wordnum-v1conf 100% · 504ms · $0.002 · 239 tok
question
A number is written in French: « cent trente-deux ». Another is written in Spanish: « setecientos ochenta 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: -652
correctmultilingual.wordnum-v1conf 100% · 539ms · $0.003 · 370 tok
question
A number is written in French: « neuf cent soixante-dix-neuf ». Another is written in Spanish: « trescientos ochenta 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: 591
correctmultilingual.numword-v2conf 100% · 965ms · $0.001 · 141 tok
question
Compute 56 + 184, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent quarante
correctmultilingual.wordnum-v1conf 100% · 555ms · $0.002 · 280 tok
question
A number is written in French: « neuf cent sept ». Another is written in Spanish: « doscientos noventa y tres ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 614
correctmultilingual.numword-v2conf 100% · 654ms · $0.001 · 195 tok
question
Compute 206 + 129, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos treinta y cinco
correctmultilingual.wordnum-v1conf 100% · 2.6s · $0.002 · 251 tok
question
A number is written in French: « cent quatre-vingt-treize ». Another is written in Spanish: « trescientos 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: 538
correctmultilingual.numword-v2conf 100% · 603ms · $0.001 · 152 tok
question
Compute 134 + 304, 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 y ocho
correctmultilingual.numword-v2conf 95% · 535ms · $0.002 · 274 tok
question
Compute 203 + 364, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent soixante-sept
correctmultilingual.wordnum-v1anchorconf 100% · 626ms · $0.002 · 225 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 100% · 557ms · $0.002 · 213 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 1.5s · $0.002 · 240 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 100% · 1.4s · $0.001 · 151 tok
model answer: seiscientos ocho
correctmultilingual.wordnum-v1conf 100% · 918ms · $0.002 · 279 tok
question
A number is written in French: « quatre cent cinquante et un ». Another is written in Spanish: « setecientos setenta y tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1224
correctmultilingual.numword-v2conf 100% · 543ms · $0.001 · 182 tok
question
Compute 385 + 142, 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-v1conf 100% · 539ms · $0.002 · 285 tok
question
A number is written in French: « six cent deux ». Another is written in Spanish: « cuatrocientos treinta y tres ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 169
correctmultilingual.numword-v2conf 100% · 493ms · $0.001 · 176 tok
question
Compute 213 + 346, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent cinquante-neuf
correctmultilingual.wordnum-v1conf 100% · 478ms · $0.002 · 223 tok
question
A number is written in French: « cent quarante-six ». Another is written in Spanish: « setecientos 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: -580
correctmultilingual.numword-v2conf 100% · 536ms · $0.001 · 191 tok
question
Compute 124 + 329, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent cinquante trois
correctmultilingual.wordnum-v1conf 100% · 1.1s · $0.002 · 229 tok
question
A number is written in French: « trois cent quatre-vingt-un ». Another is written in Spanish: « setecientos sesenta 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: -383
correctmultilingual.numword-v2conf 100% · 911ms · $0.002 · 317 tok
question
Compute 307 + 372, 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-neuf
correctmultilingual.wordnum-v1conf 100% · 518ms · $0.002 · 278 tok
question
A number is written in French: « quatre cent quatre-vingt-treize ». Another is written in Spanish: « novecientos noventa 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: 1491
correctmultilingual.numword-v2conf 100% · 510ms · $0.001 · 151 tok
question
Compute 286 + 245, 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 trente et un
correctmultilingual.wordnum-v1conf 100% · 463ms · $0.002 · 255 tok
question
A number is written in French: « trois cent vingt-huit ». Another is written in Spanish: « ochocientos cincuenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -531
correctmultilingual.numword-v2conf 100% · 501ms · $0.002 · 251 tok
question
Compute 254 + 198, 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 dos
correctmultilingual.wordnum-v1conf 100% · 550ms · $0.002 · 257 tok
question
A number is written in French: « deux cent soixante-sept ». Another is written in Spanish: « setecientos treinta y nueve ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1006
correctmultilingual.numword-v2conf 100% · 829ms · $0.002 · 334 tok
question
Compute 429 + 62, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent quatre-vingt-onze
correctmultilingual.wordnum-v1conf 100% · 506ms · $0.002 · 268 tok
question
A number is written in French: « neuf cent seize ». Another is written in Spanish: « ciento veinticuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 792
correctmultilingual.numword-v2conf 100% · 473ms · $0.001 · 200 tok
question
Compute 247 + 432, 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-neuf
correctmultilingual.wordnum-v1conf 100% · 988ms · $0.002 · 231 tok
question
A number is written in French: « sept cent vingt-neuf ». Another is written in Spanish: « novecientos veinticinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1654
correctmultilingual.numword-v2conf 100% · 512ms · $0.001 · 155 tok
question
Compute 476 + 92, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos sesenta y ocho
correctmultilingual.wordnum-v1conf 100% · 438ms · $0.002 · 260 tok
question
A number is written in French: « neuf cent trente-neuf ». Another is written in Spanish: « quinientos 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: 433
correctmultilingual.numword-v2conf 100% · 1.1s · $0.002 · 291 tok
question
Compute 430 + 331, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: setecientos sesenta y uno
correctmultilingual.wordnum-v1conf 100% · 464ms · $0.001 · 191 tok
question
A number is written in French: « neuf cent un ». Another is written in Spanish: « trescientos veinticuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 577
correctmultilingual.wordnum-v1conf 100% · 445ms · $0.002 · 335 tok
question
A number is written in French: « trois cent soixante-seize ». Another is written in Spanish: « cuatrocientos treinta y dos ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -56
correctmultilingual.numword-v2conf 100% · 2.8s · $0.001 · 130 tok
question
Compute 227 + 383, 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 dix
correctmultilingual.numword-v2conf 100% · 685ms · $0.001 · 183 tok
question
Compute 469 + 330, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: setecientos noventa y nueve
correctmultilingual.wordnum-v1conf 100% · 482ms · $0.002 · 245 tok
question
A number is written in French: « six cent quatre-vingt-deux ». Another is written in Spanish: « trescientos treinta y dos ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 350
correctmultilingual.numword-v2conf 100% · 604ms · $0.001 · 195 tok
question
Compute 126 + 213, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent trente-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 530ms · $0.002 · 294 tok
model answer: 150
wrongmultilingual.numword-v2anchorconf 100% · 501ms · $0.002 · 364 tok
model answer: quatre cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 449ms · $0.002 · 257 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 100% · 485ms · $0.001 · 127 tok
model answer: seiscientos ocho
reasoning 48/60 correct
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Farah. Sami is taller than Ines. Emil is taller than Ines. Kira is older than everyone here, but Kira is not being ranked. Goran is taller than Hana. Emil is taller than Sami. Alice is taller than Sami. Alice is taller than Goran. Ines is taller than Farah. Hana 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: (none extracted)
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is faster than Quinn. Alice is faster than Quinn. Ola is faster than Quinn. Rosa is faster than Tessa. Alice is faster than Nadir. Tessa is faster than Dara. Emil is heavier than everyone here, but Emil is not being ranked. Nadir is faster than Quinn. Nadir is faster than Ola. Dara is faster than Alice. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 491ms · $0.002 · 196 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Kira. Kira is number 2 in the queue. Tessa is directly ahead of Priya. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Ines. Quinn is taller than everyone here, but Quinn is not being ranked. Liam is faster than Chen. Sami is faster than Kira. Kira is faster than Farah. Farah is faster than Ines. Ines is faster than Emil. Sami is faster than Farah. Liam is faster than Farah. Chen is faster than Sami. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Priya. Emil is heavier than everyone here, but Emil is not being ranked. Farah is faster than Quinn. Jonas is faster than Liam. Liam is faster than Sami. Liam is faster than Dara. Jonas is faster than Farah. Dara is faster than Sami. Quinn is faster than Priya. Priya is faster than Liam. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 485ms · $0.002 · 262 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 4 in the queue. Tessa is directly ahead of Hana. Jonas is directly ahead of Sami. Hana is directly ahead of Jonas. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.position-v1conf 100% · 517ms · $0.001 · 169 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Chen. Rosa is directly ahead of Priya. Chen is number 3 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Nadir. Kira is heavier than Farah. Emil is heavier than Kira. Priya is heavier than Farah. Sami is taller than everyone here, but Sami is not being ranked. Liam is heavier than Hana. Hana is heavier than Priya. Nadir is heavier than Farah. Priya is heavier than Nadir. Kira is heavier than Liam. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctreasoning.deduction.order-v2conf 100% · 1.4s · $0.005 · 689 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Farah. Emil is faster than Alice. Jonas is older than everyone here, but Jonas is not being ranked. Bruno is faster than Mona. Bruno is faster than Rosa. Mona is faster than Rosa. Farah is faster than Rosa. Hana is faster than Bruno. Alice is faster than Rosa. Alice is faster than Hana. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.position-v1conf 100% · 1.3s · $0.002 · 253 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Mona. Ines is number 3 in the queue. Mona is directly ahead of Ines. 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: Emil
correctreasoning.deduction.order-v2conf 100% · 721ms · $0.010 · 1586 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is older than everyone here, but Farah is not being ranked. Alice is heavier than Jonas. Rosa is heavier than Jonas. Dara is heavier than Alice. Alice is heavier than Rosa. Ola is heavier than Mona. Alice is heavier than Jonas. Dara is heavier than Jonas. Mona is heavier than Dara. Quinn is heavier 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: Alice
correctreasoning.deduction.position-v1conf 100% · 642ms · $0.002 · 216 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Ola. Rosa is number 3 in the queue. Ola is directly ahead of Rosa. 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: Jonas
correctreasoning.deduction.position-v1conf 100% · 483ms · $0.004 · 600 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Quinn. Chen is number 2 in the queue. Rosa is directly ahead of Chen. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.position-v1conf · · · tok
question
Four people stand in a queue (number 1 is the front). Chen is number 3 in the queue. Ola is directly ahead of Chen. Mona is directly ahead of Ola. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 495ms · $0.001 · 165 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Ola. Sami is directly ahead of Quinn. Ola is directly ahead of Mona. Mona is number 4 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Farah. Priya is taller than Farah. Priya is taller than Farah. Priya is taller than Hana. Hana is taller than Dara. Dara is taller than Ola. Ines is older than everyone here, but Ines is not being ranked. Liam is taller than Dara. Hana is taller than Liam. Ola is taller than Tessa. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 541ms · $0.001 · 157 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Tessa. Alice is directly ahead of Hana. Tessa is number 2 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 806ms · $0.003 · 397 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is taller than everyone here, but Rosa is not being ranked. Ola is heavier than Sami. Sami is heavier than Emil. Goran is heavier than Dara. Sami is heavier than Mona. Dara is heavier than Emil. Goran is heavier than Ola. Bruno is heavier than Goran. Mona is heavier than Dara. Sami is heavier than Dara. 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: Ola
correctreasoning.deduction.order-v2conf 100% · 765ms · $0.002 · 317 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Liam. Liam is older than Nadir. Mona is faster than everyone here, but Mona is not being ranked. Priya is older than Goran. Ines is older than Bruno. Nadir is older than Priya. Liam is older than Goran. Goran is older than Ines. Goran is older than Bruno. Goran is older 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: Liam
correctreasoning.deduction.position-v1conf 100% · 910ms · $0.004 · 640 tok
question
Four people stand in a queue (number 1 is the front). Ola is number 3 in the queue. Farah is directly ahead of Ola. Alice is directly ahead of Farah. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.order-v2conf 100% · 1.3s · $0.006 · 938 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Mona. Goran is heavier than Alice. Alice is heavier than Mona. Rosa is heavier than Jonas. Sami is heavier than Rosa. Alice is heavier than Sami. Alice is heavier than Jonas. Bruno is heavier than Goran. Bruno is heavier than Alice. Priya is older than everyone here, but Priya is not being ranked. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 481ms · $0.002 · 236 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 1 in the queue. Bruno is directly ahead of Mona. Mona is directly ahead of Chen. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 100% · 662ms · $0.007 · 1075 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Farah. Jonas is older than Tessa. Tessa is older than Mona. Tessa is older than Rosa. Mona is older than Farah. Dara is older than Jonas. Quinn is older than Dara. Dara is older than Farah. Mona is older than Rosa. Ola is taller than everyone here, but Ola is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 741ms · $0.002 · 234 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Sami. Sami is number 3 in the queue. Goran is directly ahead of Nadir. 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.position-v1conf 100% · 485ms · $0.001 · 158 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Quinn. Ola is directly ahead of Ines. Quinn is number 2 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
correctreasoning.deduction.order-v2conf 100% · 596ms · $0.004 · 565 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Goran is taller than everyone here, but Goran is not being ranked. Sami is faster than Dara. Chen is faster than Ola. Mona is faster than Nadir. Chen is faster than Mona. Alice is faster than Chen. Dara is faster than Alice. Nadir is faster than Ola. Alice is faster than Ola. Mona is faster 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: Mona
correctreasoning.deduction.order-v2anchorconf 100% · 1.4s · $0.010 · 1562 tok
model answer: Mona
correctreasoning.deduction.position-v1anchorconf 100% · 556ms · $0.002 · 314 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 1.4s · $0.005 · 713 tok
model answer: Farah
correctreasoning.deduction.order-v2anchorconf 100% · 519ms · $0.003 · 351 tok
model answer: Quinn
correctreasoning.deduction.position-v1conf 100% · 1.5s · $0.002 · 224 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Rosa. Priya is directly ahead of Mona. Rosa is number 4 in the queue. Mona is directly ahead of Jonas. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.order-v2conf 100% · 1.6s · $0.006 · 931 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Quinn. Goran is faster than Quinn. Chen is faster than Tessa. Emil is faster than Liam. Kira is older than everyone here, but Kira is not being ranked. Emil is faster than Chen. Ola is faster than Emil. Tessa is faster than Liam. Tessa is faster than Quinn. Liam is faster than Goran. 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: Chen
correctreasoning.deduction.order-v2conf 100% · 499ms · $0.010 · 1624 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Dara is faster than Farah. Priya is faster than Sami. Dara is faster than Goran. Farah is faster than Ines. Liam is heavier than everyone here, but Liam is not being ranked. Jonas is faster than Farah. Ines is faster than Priya. Goran is faster than Jonas. Goran is faster than Priya. Dara is faster 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: Jonas
correctreasoning.deduction.position-v1conf 100% · 2.1s · $0.002 · 289 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Nadir. Tessa is number 1 in the queue. Nadir is directly ahead of Ola. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.position-v1conf 100% · 525ms · $0.004 · 577 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Kira. Dara is number 1 in the queue. Farah 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: Alice
correctreasoning.deduction.order-v2conf 100% · 465ms · $0.007 · 1067 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Farah. Liam is taller than Kira. Rosa is taller than Ines. Mona is taller than Farah. Rosa is taller than Mona. Ines is taller than Farah. Sami is faster than everyone here, but Sami is not being ranked. Mona is taller than Liam. Kira is taller than Ines. Ines is taller than Hana. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is heavier than everyone here, but Farah is not being ranked. Goran is taller than Nadir. Sami is taller than Nadir. Ola is taller than Nadir. Hana is taller than Ola. Chen is taller than Mona. Ola is taller than Nadir. Mona is taller than Sami. Ola is taller than Goran. Sami 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: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 553ms · $0.005 · 714 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Goran. Ola is number 2 in the queue. Chen 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: Jonas
correctreasoning.deduction.order-v2conf 100% · 481ms · $0.010 · 1601 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Priya. Quinn is older than Bruno. Dara is older than Liam. Jonas is taller than everyone here, but Jonas is not being ranked. Farah is older than Liam. Bruno is older than Emil. Quinn is older than Farah. Emil is older than Farah. Farah is older than Dara. Liam 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: Dara
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Goran. Chen is older than everyone here, but Chen is not being ranked. Goran is faster than Quinn. Liam is faster than Quinn. Goran is faster than Quinn. Ola is faster than Jonas. Jonas is faster than Kira. Goran is faster than Farah. Kira is faster than Liam. Farah is faster than Quinn. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 473ms · $0.002 · 304 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 3 in the queue. Quinn is directly ahead of Nadir. Chen 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: Chen
correctreasoning.deduction.position-v1conf 100% · 480ms · $0.007 · 1146 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 1 in the queue. Farah is directly ahead of Quinn. Quinn is directly ahead of Alice. 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% · 498ms · $0.004 · 563 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Emil. Dara is heavier than Ines. Bruno is faster than everyone here, but Bruno is not being ranked. Emil is heavier than Farah. Hana is heavier than Ines. Dara is heavier than Hana. Hana is heavier than Ola. Ola is heavier than Farah. Emil is heavier than Ola. Farah is heavier than Nadir. 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.order-v2conf 100% · 500ms · $0.008 · 1268 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Chen. Nadir is older than Quinn. Jonas is older than Priya. Jonas is older than Rosa. Hana is older than Priya. Priya is older than Quinn. Rosa is older than Quinn. Goran is taller than everyone here, but Goran is not being ranked. Priya is older than Nadir. Rosa is older than Hana. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
correctreasoning.deduction.position-v1conf 100% · 689ms · $0.006 · 922 tok
question
Four people stand in a queue (number 1 is the front). Kira is number 2 in the queue. Bruno is directly ahead of Kira. Farah is directly ahead of Tessa. 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: Bruno
correctreasoning.deduction.order-v2conf 100% · 477ms · $0.007 · 1013 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is taller than Alice. Nadir is taller than Liam. Farah is taller than Mona. Mona is taller than Emil. Alice is taller than Liam. Mona is taller than Nadir. Chen is older than everyone here, but Chen is not being ranked. Liam is taller than Emil. Farah is taller than Emil. Alice is taller 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: Liam
correctreasoning.deduction.position-v1conf 100% · 1.7s · $0.004 · 537 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 3 in the queue. Tessa is directly ahead of Kira. Kira is directly ahead of Farah. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
correctreasoning.deduction.position-v1conf 100% · 1.0s · $0.004 · 673 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Priya. Alice is number 1 in the queue. Priya is directly ahead of Liam. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.order-v2conf 100% · 551ms · $0.003 · 387 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Emil. Liam is heavier than Emil. Bruno is heavier than Dara. Tessa is heavier than Bruno. Priya is heavier than Liam. Goran is heavier than Priya. Dara is heavier than Liam. Nadir is faster than everyone here, but Nadir is not being ranked. Priya is heavier than Tessa. Priya is heavier than Emil. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
correctreasoning.deduction.position-v1conf 100% · 624ms · $0.002 · 238 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Mona. Dara is number 4 in the queue. Rosa is directly ahead of Tessa. Mona is directly ahead of Dara. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.position-v1conf · · · tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Bruno. Bruno is directly ahead of Liam. Liam is number 3 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 775ms · $0.005 · 774 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Ines. Farah is directly ahead of Rosa. Rosa 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: Farah
correctreasoning.deduction.order-v2conf 100% · 508ms · $0.003 · 346 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Mona is taller than Goran. Hana is taller than Dara. Nadir is taller than Alice. Dara is taller than Goran. Goran is taller than Alice. Dara is taller than Mona. Goran is taller than Nadir. Alice is taller than Rosa. Nadir is taller than Rosa. Farah is faster than everyone here, but Farah is not being ranked. 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: Dara
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2conf · · · tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Chen is older than everyone here, but Chen is not being ranked. Dara is taller than Tessa. Hana is taller than Mona. Sami is taller than Mona. Tessa is taller than Quinn. Quinn is taller than Hana. Quinn is taller than Mona. Hana is taller than Sami. Tessa is taller than Hana. Kira is taller than Dara. 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: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 642ms · $0.002 · 210 tok
question
Four people stand in a queue (number 1 is the front). Ola is number 3 in the queue. Jonas is directly ahead of Mona. Mona 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: Ola
correctreasoning.deduction.order-v2conf 100% · 1.4s · $0.003 · 418 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is older than everyone here, but Dara is not being ranked. Emil is taller than Priya. Chen is taller than Liam. Emil is taller than Nadir. Emil is taller than Ola. Liam is taller than Emil. Nadir is taller than Priya. Priya is taller than Ola. Nadir is taller than Ola. Ola is taller than Hana. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
TimeoutError: The operation was aborted due to timeoutreasoning.deduction.order-v2anchorconf · · · tok
model answer: (none extracted)
correctreasoning.deduction.position-v1anchorconf 100% · 676ms · $0.014 · 2262 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 100% · 633ms · $0.007 · 1040 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 1.3s · $0.006 · 1029 tok
model answer: Farah
terminal 56/60 correct
correctterminal.fs.tree-v1conf 100% · 590ms · $0.016 · 2446 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/conf`):

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

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

```sh
mkdir -p conf/src-3
touch assets/notes-1.log
cd conf/src-3
touch ../../../proj/conf/notes-7.cfg
mv ../../../proj/assets/notes-1.log ../../../proj/assets/
touch index-1.txt
cd .
mkdir -p ../../../proj/assets/build-5
cd .
mkdir -p ../../../proj/docs/docs-1
cd ../../../proj/docs/docs-1
mkdir -p ../../../proj/docs/docs-5
cd ../../../proj/docs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/notes-1.log /proj/conf/notes-7.cfg /proj/conf/src-3/index-1.txt /proj/docs/index.log /proj/docs/main.md /proj/docs/report.txt /proj/notes.cfg /proj/todo.cfg
correctterminal.exit.chain-v1conf 100% · 978ms · $0.004 · 626 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E Z exit:0
correctterminal.fs.tree-v1conf 100% · 906ms · $0.009 · 1379 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/logs`, `/proj/conf`):

```
/proj/assets/index.md
/proj/conf/setup.log
/proj/conf/todo.cfg
/proj/draft.log
/proj/report.txt
```

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

```sh
touch logs/notes-5.txt
rm conf/setup.log
mv assets/index.md ./
mkdir -p assets/build-8
mkdir -p conf/assets-5
cd logs
mkdir -p ../../proj/assets/build-8/docs-3
mv ../../proj/index.md ../../proj/index-8.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/todo.cfg /proj/draft.log /proj/index-8.cfg /proj/logs/notes-5.txt /proj/report.txt
correctterminal.pipeline.predict-v1conf 100% · 530ms · $0.004 · 554 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,sales,88,56
bo,eng,59,34
ana,sales,90,84
cy,ops,8,27
eli,hr,4,43
ivy,eng,112,33
fay,sales,45,52
dev,legal,91,98
lou,ops,69,51
ned,ops,20,41
gus,sales,117,97
jon,legal,80,45
hal,ops,10,41
pam,ops,120,60
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,sales,90,84 gus,sales,117,97
correctterminal.exit.chain-v1conf 100% · 707ms · $0.004 · 607 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E H Z exit:0
correctterminal.fs.tree-v1conf 100% · 514ms · $0.011 · 1779 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/build`):

```
/proj/docs/draft.cfg
/proj/docs/todo.log
/proj/index.md
/proj/setup.md
/proj/src/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
rm src/main.txt
cd build
cp ../../proj/index.md ../../proj/src/
mv ../../proj/docs/todo.log ../../proj/src/
cd ../../proj
touch src/index-1.md
mv src/index.md ./
rm src/index-1.md
mv index.md build/
cd src
mkdir -p ../../proj/build/conf-4
```

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.md /proj/docs/draft.cfg /proj/setup.md /proj/src/todo.log
correctterminal.pipeline.predict-v1conf 100% · 933ms · $0.004 · 513 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,sales,104,31
fay,eng,11,97
eli,ops,40,15
bo,ops,55,31
hal,ops,46,56
ned,eng,103,71
ivy,hr,93,41
max,sales,54,45
kim,ops,83,15
dev,ops,33,29
gus,sales,113,89
pam,hr,45,70
oli,hr,90,57
ana,legal,81,16
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 46 { 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: 2
correctterminal.exit.chain-v1conf 100% · 527ms · $0.004 · 597 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
true && echo A || echo B
grep -q amber 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: A D E Z exit:0
correctterminal.exit.chain-v1conf 100% · 491ms · $0.008 · 1164 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F exit:1
correctterminal.fs.tree-v1conf 100% · 1.2s · $0.008 · 1221 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/util.md
/proj/docs/draft.md
/proj/docs/main.md
/proj/notes.cfg
/proj/todo.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
cd .
cp docs/draft.md logs/
touch logs/notes-3.md
mkdir -p logs/conf-8
cd build
touch util-7.md
cd .
mv ../../proj/logs/notes-3.md ../../proj/logs/report-8.log
mv ../../proj/docs/main.md ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/util-7.md /proj/build/util.md /proj/docs/draft.md /proj/logs/draft.md /proj/logs/report-8.log /proj/main.md /proj/notes.cfg /proj/todo.log
correctterminal.pipeline.predict-v1conf 100% · 434ms · $0.003 · 342 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,sales,34,46
hal,hr,68,58
fay,eng,111,15
ivy,legal,64,43
lou,hr,48,86
cy,sales,42,79
ned,hr,114,97
dev,legal,24,19
gus,ops,38,85
kim,ops,16,69
bo,ops,91,55
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 76
correctterminal.pipeline.predict-v1conf 100% · 487ms · $0.006 · 844 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,sales,28,91
bo,legal,87,76
max,eng,51,92
pam,sales,109,44
ivy,sales,34,52
fay,eng,48,14
cy,legal,5,51
dev,sales,89,46
kim,sales,31,16
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: dev,sales,89,46 pam,sales,109,44
correctterminal.fs.tree-v1conf 100% · 527ms · $0.012 · 1899 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/build`, `/proj/src`):

```
/proj/conf/notes.cfg
/proj/report.cfg
/proj/setup.md
/proj/src/index.cfg
/proj/src/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
rm setup.md
cp conf/notes.cfg build/
cd .
touch build/setup-3.txt
cd build
touch ../../proj/src/main-6.log
cd ../../proj
mkdir -p conf/assets-4
cd build
mkdir -p ../../proj/src/docs-4
cd ../../proj/conf/assets-4
rm ../../../proj/report.cfg
mv ../../../proj/build/notes.cfg ../../../proj/build/notes-9.cfg
cd ../../../proj/src/docs-4
```

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/notes-9.cfg /proj/build/setup-3.txt /proj/conf/notes.cfg /proj/src/index.cfg /proj/src/main-6.log /proj/src/main.txt
correctterminal.exit.chain-v1conf 100% · 1.0s · $0.007 · 1093 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
false && echo A || echo B
false && echo C || echo D
test -f data.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E exit:1
correctterminal.fs.tree-v1conf 100% · 625ms · $0.014 · 2149 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/docs`, `/proj/build`):

```
/proj/build/util.md
/proj/docs/notes.md
/proj/docs/report.md
/proj/index.log
/proj/todo.cfg
```

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

```sh
cp docs/report.md build/
cd docs
mkdir -p ../../proj/build/logs-5
mkdir -p ../../proj/assets-1
cd ../../proj/logs
rm ../../proj/build/util.md
mv ../../proj/todo.cfg ../../proj/todo-8.log
cp ../../proj/todo-8.log ../../proj/build/logs-5/
rm ../../proj/build/logs-5/todo-8.log
cd ../../proj/build
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/report.md /proj/docs/notes.md /proj/docs/report.md /proj/index.log /proj/todo-8.log
correctterminal.pipeline.predict-v1conf 100% · 728ms · $0.005 · 743 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,sales,45,24
bo,eng,113,21
fay,ops,72,48
kim,eng,27,60
lou,legal,16,51
eli,ops,51,85
cy,eng,48,22
jon,ops,117,77
gus,eng,64,29
oli,eng,117,56
pam,ops,27,60
ned,ops,30,33
```

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: bo,113 cy,48 gus,64
TimeoutError: The operation was aborted due to timeoutterminal.exit.chain-v1conf · · · tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 100% · 758ms · $0.003 · 462 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F exit:1
correctterminal.pipeline.predict-v1conf 100% · 475ms · $0.003 · 433 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,eng,75,55
eli,sales,97,19
ana,ops,36,37
pam,hr,39,14
jon,hr,41,91
dev,eng,117,94
max,legal,113,94
cy,hr,84,58
hal,hr,118,65
gus,legal,41,46
```

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: eli,sales,97,19
correctterminal.exit.chain-v1conf 100% · 479ms · $0.007 · 1034 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 coral notes.txt && echo A || echo B
grep -q coral notes.txt && echo C || echo D
grep -q coral notes.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F exit:1
wrongterminal.fs.tree-v1conf 100% · 512ms · $0.006 · 848 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/conf`):

```
/proj/assets/todo.md
/proj/build/setup.txt
/proj/conf/index.txt
/proj/report.txt
/proj/util.txt
```

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

```sh
rm report.txt
touch conf/setup-9.txt
mkdir -p assets/build-9
cd assets/build-9
touch ../../../proj/conf/setup-3.log
mkdir -p ../../../proj/build/build-2
cp ../../../proj/util.txt ../../../proj/conf/
rm ../../../proj/util.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 504ms · $0.006 · 934 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,eng,43,35
hal,sales,68,93
ned,hr,114,24
oli,eng,55,64
dev,hr,116,59
lou,legal,5,23
gus,legal,102,95
bo,hr,4,50
max,sales,63,69
pam,legal,98,80
eli,hr,62,44
jon,legal,16,17
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 77 { 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.exit.chain-v1conf 100% · 520ms · $0.004 · 625 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F Z exit:0
correctterminal.fs.tree-v1conf 100% · 901ms · $0.009 · 1380 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/src`):

```
/proj/conf/draft.md
/proj/docs/index.log
/proj/main.txt
/proj/src/todo.log
/proj/util.cfg
```

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

```sh
touch docs/todo-2.md
mkdir -p conf/conf-5
cd conf
mv ../../proj/docs/todo-2.md ../../proj/docs/main-1.txt
cd ../../proj
mv docs/main-1.txt docs/util-4.md
mkdir -p assets-8
cd conf
rm ../../proj/util.cfg
cd ../../proj/src
cp ../../proj/main.txt ./
cd ../../proj/docs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/draft.md /proj/docs/index.log /proj/docs/util-4.md /proj/main.txt /proj/src/main.txt /proj/src/todo.log
correctterminal.fs.tree-v1conf 100% · 1.3s · $0.014 · 2161 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/build`):

```
/proj/assets/setup.md
/proj/build/draft.txt
/proj/docs/todo.md
/proj/notes.txt
/proj/util.log
```

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

```sh
cp docs/todo.md ./
touch docs/main-7.log
cp util.log build/
cp assets/setup.md build/
cd build
cp ../../proj/assets/setup.md ../../proj/
cp draft.txt ../../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/assets/setup.md /proj/build/draft.txt /proj/build/setup.md /proj/build/util.log /proj/docs/draft.txt /proj/docs/main-7.log /proj/docs/todo.md /proj/notes.txt /proj/setup.md /proj/todo.md /proj/util.log
correctterminal.pipeline.predict-v1conf 100% · 725ms · $0.003 · 383 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,hr,16,64
hal,ops,13,65
ivy,sales,71,50
lou,eng,57,79
bo,hr,116,92
fay,eng,39,93
oli,legal,33,99
pam,eng,100,27
gus,eng,67,85
cy,hr,65,23
max,eng,48,78
```

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: ivy,sales,71,50
correctterminal.pipeline.predict-v1anchorconf 100% · 496ms · $0.005 · 663 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.exit.chain-v1anchorconf 100% · 521ms · $0.005 · 775 tok
model answer: B D E G exit:1
correctterminal.fs.tree-v1anchorconf 100% · 1.4s · $0.008 · 1204 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.pipeline.predict-v1anchorconf 100% · 1.1s · $0.006 · 797 tok
model answer: 1
correctterminal.exit.chain-v1conf 100% · 482ms · $0.005 · 731 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F G exit:1
correctterminal.fs.tree-v1conf 100% · 529ms · $0.006 · 954 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/logs`, `/proj/docs`):

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/draft-8.txt /proj/index.cfg /proj/notes.md
correctterminal.pipeline.predict-v1conf 100% · 1.6s · $0.003 · 280 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,eng,102,64
gus,eng,82,17
kim,ops,50,93
fay,eng,117,55
dev,legal,46,72
ned,hr,61,86
bo,sales,54,52
max,eng,102,60
pam,sales,106,76
lou,legal,54,95
oli,sales,40,53
ivy,ops,102,79
jon,hr,100,78
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 53 { 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: 2
correctterminal.fs.tree-v1conf 100% · 524ms · $0.009 · 1415 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/build`):

```
/proj/main.cfg
/proj/notes.md
/proj/src/draft.txt
/proj/src/index.log
/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
mkdir -p src/logs-3
cd conf
rm ../../proj/notes.md
cd ../../proj/build
touch draft-1.cfg
cd .
mkdir -p ../../proj/conf-1
cp ../../proj/src/draft.txt ./
cp ../../proj/main.cfg ../../proj/src/logs-3/
cd ../../proj/src/logs-3
```

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-1.cfg /proj/build/draft.txt /proj/main.cfg /proj/src/draft.txt /proj/src/index.log /proj/src/logs-3/main.cfg /proj/src/setup.md
correctterminal.exit.chain-v1conf 100% · 463ms · $0.005 · 684 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
true && echo A || echo B
grep -q coral 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: A C E Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 482ms · $0.005 · 690 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,eng,64,74
lou,eng,113,54
fay,legal,82,27
cy,ops,14,80
oli,sales,103,24
dev,eng,7,83
jon,hr,47,31
max,hr,14,97
eli,hr,70,81
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: jon,hr,47,31 eli,hr,70,81
correctterminal.fs.tree-v1conf 100% · 967ms · $0.009 · 1421 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/build`, `/proj/assets`):

```
/proj/assets/main.cfg
/proj/assets/todo.txt
/proj/conf/draft.cfg
/proj/setup.txt
/proj/util.log
```

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

```sh
rm setup.txt
cd .
cp assets/todo.txt conf/
mv assets/main.cfg build/
mv util.log build/
mkdir -p docs-4
cd docs-4
mkdir -p ../../proj/src-6
cd ../../proj
mkdir -p src-6/assets-7
```

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/todo.txt /proj/build/main.cfg /proj/build/util.log /proj/conf/draft.cfg /proj/conf/todo.txt
correctterminal.exit.chain-v1conf 100% · 1.2s · $0.007 · 1005 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
false && echo A || echo B
grep -q dune notes.txt && echo C || echo D
grep -q amber notes.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F exit:1
correctterminal.pipeline.predict-v1conf 100% · 435ms · $0.006 · 827 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,ops,19,55
hal,sales,117,10
ana,eng,63,10
lou,ops,11,74
pam,eng,43,31
ivy,ops,72,64
dev,legal,25,23
oli,legal,85,65
bo,hr,24,14
kim,hr,42,64
fay,hr,55,77
max,ops,86,84
eli,sales,74,81
jon,eng,57,14
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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: cy,19 ivy,72
correctterminal.fs.tree-v1conf 100% · 646ms · $0.015 · 2403 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/conf`, `/proj/logs`):

```
/proj/logs/draft.log
/proj/logs/notes.txt
/proj/logs/setup.cfg
/proj/main.cfg
/proj/report.log
```

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

```sh
cd conf
mkdir -p ../../proj/logs/src-1
touch ../../proj/build/main-6.md
cd ../../proj/logs/src-1
cp ../../../proj/logs/setup.cfg ./
rm setup.cfg
cd ../../../proj/conf
cp ../../proj/logs/notes.txt ../../proj/logs/src-1/
cd .
touch notes-7.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/main-6.md /proj/conf/notes-7.log /proj/logs/draft.log /proj/logs/notes.txt /proj/logs/setup.cfg /proj/logs/src-1/notes.txt /proj/main.cfg /proj/report.log
correctterminal.exit.chain-v1conf 100% · 424ms · $0.007 · 987 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

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

These statements run in order:

```sh
test -f ghost.txt && echo A || echo B
grep -q coral notes.txt && echo C || echo D
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: B C F exit:1
correctterminal.pipeline.predict-v1conf 100% · 816ms · $0.002 · 220 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,legal,6,67
ned,eng,75,55
jon,ops,49,73
eli,eng,47,24
dev,sales,15,61
lou,legal,11,36
oli,sales,118,99
kim,eng,75,50
gus,ops,95,23
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 197
correctterminal.exit.chain-v1conf 100% · 650ms · $0.004 · 562 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F Z exit:0
correctterminal.fs.tree-v1conf 100% · 531ms · $0.008 · 1204 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/logs`, `/proj/build`):

```
/proj/draft.txt
/proj/main.log
/proj/src/index.md
/proj/src/notes.cfg
/proj/src/util.txt
```

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

```sh
cp src/util.txt logs/
rm draft.txt
cd logs
cp ../../proj/src/index.md ../../proj/
cp ../../proj/src/index.md ../../proj/build/
mv ../../proj/build/index.md ../../proj/
mkdir -p ../../proj/src/docs-6
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/index.md /proj/logs/util.txt /proj/main.log /proj/src/index.md /proj/src/notes.cfg /proj/src/util.txt
correctterminal.pipeline.predict-v1conf 100% · 914ms · $0.006 · 934 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,hr,89,91
hal,legal,7,20
fay,sales,69,96
dev,sales,120,51
ned,eng,38,50
jon,sales,120,28
ana,eng,106,59
ivy,sales,21,52
pam,legal,50,75
max,hr,106,51
kim,legal,85,79
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,106 ned,38
correctterminal.fs.tree-v1conf 100% · 531ms · $0.009 · 1406 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/conf`):

```
/proj/build/main.md
/proj/logs/draft.cfg
/proj/logs/todo.cfg
/proj/report.md
/proj/setup.md
```

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

```sh
rm report.md
rm logs/todo.cfg
cd build
mv ../../proj/logs/draft.cfg ../../proj/
mkdir -p ../../proj/logs/logs-9
touch ../../proj/logs/logs-9/report-9.md
mv main.md report-9.txt
mv report-9.txt draft-9.md
mv draft-9.md ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/draft-9.md /proj/draft.cfg /proj/logs/logs-9/report-9.md /proj/setup.md
correctterminal.exit.chain-v1conf 100% · 447ms · $0.005 · 751 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
test -f ghost.txt && echo A || echo B
true && echo C || echo D
test -f tmp.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F exit:1
wrongterminal.pipeline.predict-v1conf 100% · 752ms · $0.006 · 888 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,legal,33,32
jon,eng,3,88
bo,eng,111,70
pam,sales,35,78
cy,ops,70,79
lou,legal,46,42
ivy,eng,39,44
eli,eng,120,32
kim,hr,71,97
ned,ops,77,87
ana,sales,84,31
oli,ops,117,63
dev,ops,73,82
max,eng,112,93
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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)
correctterminal.fs.tree-v1conf 100% · 488ms · $0.009 · 1429 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/conf`, `/proj/assets`):

```
/proj/assets/report.md
/proj/logs/draft.txt
/proj/logs/util.md
/proj/notes.txt
/proj/setup.md
```

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

```sh
cp logs/draft.txt assets/
cd .
mkdir -p logs/src-6
cp logs/util.md ./
mkdir -p assets/conf-7
mkdir -p assets/conf-7/conf-9
rm logs/util.md
cd .
mkdir -p conf/build-9
rm assets/report.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft.txt /proj/logs/draft.txt /proj/notes.txt /proj/setup.md /proj/util.md
correctterminal.exit.chain-v1conf 100% · 2.8s · $0.005 · 758 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F exit:1
correctterminal.fs.tree-v1conf 100% · 475ms · $0.011 · 1733 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/docs`, `/proj/src`):

```
/proj/assets/notes.md
/proj/draft.cfg
/proj/main.cfg
/proj/src/setup.cfg
/proj/src/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
mkdir -p src/assets-9
rm assets/notes.md
cd .
rm src/todo.md
touch report-4.md
cd src
mkdir -p assets-9/src-5
cd .
cp ../../proj/report-4.md ../../proj/assets/
cp ../../proj/main.cfg ./
cd .
mkdir -p assets-2
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/assets/report-4.md /proj/draft.cfg /proj/main.cfg /proj/report-4.md /proj/src/main.cfg /proj/src/setup.cfg
correctterminal.pipeline.predict-v1conf 100% · 571ms · $0.002 · 281 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,eng,12,61
gus,sales,35,35
hal,sales,117,85
oli,hr,90,77
kim,sales,54,17
pam,eng,101,71
dev,eng,78,56
max,eng,38,33
jon,legal,79,67
```

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: oli,90
correctterminal.exit.chain-v1conf 100% · 444ms · $0.005 · 653 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 531ms · $0.005 · 681 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,ops,54,13
hal,legal,109,68
ana,eng,4,14
eli,ops,107,12
ned,ops,6,67
max,legal,3,44
bo,legal,91,55
jon,ops,110,60
fay,hr,69,25
pam,ops,67,97
gus,legal,28,41
dev,legal,24,53
cy,sales,31,50
```

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: 344
correctterminal.exit.chain-v1conf 100% · 470ms · $0.005 · 763 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
true && echo A || echo B
grep -q amber notes.txt && echo C || echo D
grep -q coral notes.txt && echo E || echo F
test -f tmp.txt && echo G || echo H
test -f app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E H Z exit:0
correctterminal.fs.tree-v1conf 100% · 475ms · $0.007 · 1000 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/build`):

```
/proj/assets/setup.cfg
/proj/build/main.cfg
/proj/index.log
/proj/logs/notes.md
/proj/todo.txt
```

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

```sh
cp index.log assets/
touch logs/index-5.md
mv assets/index.log assets/report-3.cfg
mv logs/notes.md assets/
rm assets/notes.md
rm todo.txt
mkdir -p assets/src-1
rm assets/setup.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report-3.cfg /proj/build/main.cfg /proj/index.log /proj/logs/index-5.md
correctterminal.pipeline.predict-v1anchorconf 100% · 510ms · $0.007 · 1034 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.exit.chain-v1anchorconf 100% · 1.6s · $0.008 · 1126 tok
model answer: B D E G exit:1
correctterminal.fs.tree-v1anchorconf 100% · 622ms · $0.008 · 1161 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.pipeline.predict-v1anchorconf 100% · 604ms · $0.005 · 633 tok
model answer: 1

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