Cohere: Command A

cohere/command-a · cohere · context 256 000 · in $2.50/1M · out $10.00/1M

Global Index

605

95% CI [560–651] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	536 [441–631]	0.365	0.78	0.50	0.000	281ms	$5.03
code	401 [305–497]	0.352	0.87	0.60	0.462	233ms	$7.61
instruction following	306 [233–380]	0.228	0.82	0.47	0.327	211ms	$0.874
knowledge	730 [557–902]	0.549	1.00	1.00	0.000	212ms	$0.327
math	764 [609–918]	0.629	0.95	0.93	0.000	223ms	$3.38
multilingual	765 [608–922]	0.624	0.98	0.93	0.000	233ms	$0.771
reasoning	781 [631–931]	0.702	0.95	0.97	0.038	211ms	$2.04
terminal	560 [465–655]	0.361	0.95	0.51	0.000	252ms	$1.07

Every answer, every test

Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.

agentic 15/30 correct

wrongagentic.tools.ledger-v1conf 100% · 250ms · $0.004 · 235 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: $742
- kilo: $808
- echo: $585

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $466 from "kilo" to "echo"
2. pay $599 from "kilo" to "echo"
3. pay $580 from "oscar" to "echo"
4. pay $170 from "oscar" to "kilo"
5. pay $307 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": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 466}},
    {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 457}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 599}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 580}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 170}},
    {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 231}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 307}}
]

correctagentic.tools.triage-v1conf 100% · 246ms · $0.004 · 243 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 → haddad
- data → rivera
- infra → silva

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 5)
2. "dashboard shows stale numbers" (category: data, priority 7)
3. "invoice total wrong" (category: payments, priority 5)
4. "card declined at checkout" (category: payments, priority 4)

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

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

model answer:

[
    {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
    {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
    {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 4}},
    {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}}
]

wrongagentic.tools.context-load-v1conf 100% · 491ms · $0.008 · 135 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 (144 records, format: id|customer|region|item|qty|status):
```
1652|juno|south|valve|19|shipped
1534|ember|south|cable|74|held
1403|birch|south|sensor|64|shipped
1378|ionic|east|rotor|42|shipped
1281|birch|north|frame|11|held
1486|dorian|east|cable|36|pending
1394|birch|south|sensor|62|held
1539|juno|east|rotor|97|held
1233|birch|south|valve|86|paid
1536|ember|south|panel|51|shipped
1425|gale|east|gasket|19|paid
1571|acme|west|panel|14|paid
1553|birch|east|rotor|95|shipped
1292|dorian|east|gasket|15|shipped
1625|juno|west|panel|28|pending
1179|harbor|north|rotor|61|pending
1336|birch|west|cable|34|held
1692|ember|west|frame|73|pending
1513|cobalt|east|pump|82|pending
1467|dorian|west|frame|28|pending
1361|dorian|west|frame|89|paid
1698|fulton|east|valve|28|shipped
1272|cobalt|west|pump|54|pending
1202|harbor|south|panel|10|pending
1623|gale|south|rotor|28|pending
1254|ionic|east|valve|71|held
1218|ionic|north|cable|52|pending
1633|acme|east|panel|34|held
1579|gale|north|pump|12|paid
1440|fulton|south|panel|36|shipped
1387|harbor|west|cable|80|paid
1238|dorian|east|rotor|90|shipped
1526|acme|north|cable|29|shipped
1532|gale|west|panel|32|paid
1614|birch|east|cable|93|pending
1662|harbor|east|cable|24|shipped
1417|gale|east|sensor|43|shipped
1667|cobalt|east|cable|96|pending
1433|acme|south|rotor|45|held
1497|ember|east|cable|76|paid
1480|dorian|east|gasket|74|pending
1205|harbor|north|cable|76|shipped
1464|dorian|south|panel|63|paid
1529|fulton|south|sensor|81|paid
1639|dorian|south|cable|31|pending
1316|fulton|west|valve|99|shipped
1309|gale|east|panel|92|pending
1490|ionic|east|gasket|15|pending
1643|juno|north|frame|19|paid
1715|gale|west|rotor|26|held
1434|cobalt|south|frame|90|held
1362|ionic|east|gasket|15|shipped
1260|acme|east|rotor|43|pending
1517|ionic|south|pump|74|pending
1249|harbor|west|frame|11|shipped
1705|juno|south|pump|43|pending
1458|ionic|west|pump|40|pending
1597|juno|west|valve|28|held
1300|fulton|east|cable|85|shipped
1594|juno|west|frame|82|held
1400|ember|north|cable|24|shipped
1305|ionic|west|valve|31|held
1518|dorian|north|pump|45|pending
1352|fulton|east|cable|11|paid
1582|birch|west|panel|19|shipped
1279|harbor|west|frame|99|paid
1354|harbor|north|panel|10|pending
1266|ionic|south|frame|30|pending
1577|cobalt|west|panel|89|shipped
1410|dorian|west|rotor|86|pending
1525|birch|west|pump|23|shipped
1196|harbor|north|panel|61|pending
1188|harbor|north|valve|55|pending
1706|juno|north|sensor|80|paid
1288|fulton|north|sensor|82|held
1322|harbor|east|sensor|50|pending
1383|ionic|west|cable|51|held
1373|birch|south|valve|99|pending
1285|ember|east|sensor|16|pending
1348|ember|east|rotor|50|paid
1474|fulton|south|cable|14|pending
1545|cobalt|north|gasket|57|pending
1184|harbor|south|pump|78|pending
1293|fulton|south|panel|27|held
1686|cobalt|west|gasket|47|paid
1670|cobalt|south|cable|63|pending
1711|harbor|west|sensor|76|held
1653|acme|west|gasket|59|pending
1447|ember|north|sensor|72|pending
1456|dorian|north|sensor|91|held
1547|juno|east|valve|57|held
1484|harbor|east|pump|17|held
1374|ionic|south|frame|23|held
1187|harbor|north|panel|41|paid
1499|dorian|north|rotor|51|shipped
1655|ember|east|pump|63|pending
1558|juno|west|frame|22|paid
1406|cobalt|east|gasket|66|paid
1226|acme|west|panel|94|paid
1506|birch|north|cable|89|shipped
1632|fulton|south|pump|52|shipped
1690|fulton|north|gasket|68|shipped
1209|cobalt|west|rotor|67|pending
1511|ionic|west|valve|39|pending
1241|ionic|west|valve|94|shipped
1265|ionic|north|sensor|34|paid
1214|ember|east|gasket|22|paid
1584|fulton|east|cable|75|pending
1340|gale|east|cable|54|held
1453|birch|west|gasket|87|shipped
1700|acme|south|rotor|61|paid
1607|cobalt|north|pump|59|paid
1243|cobalt|north|pump|90|shipped
1341|ionic|east|rotor|14|paid
1191|harbor|west|valve|60|pending
1616|birch|east|panel|13|pending
1647|birch|west|pump|66|pending
1222|ionic|east|cable|89|held
1642|fulton|east|valve|28|pending
1543|gale|north|valve|13|shipped
1463|acme|south|valve|31|held
1537|acme|south|panel|30|pending
1324|juno|west|gasket|19|pending
1193|harbor|north|cable|81|paid
1495|birch|north|valve|42|paid
1589|gale|north|valve|60|paid
1696|juno|west|gasket|18|paid
1367|dorian|west|cable|45|held
1462|acme|north|valve|17|paid
1246|gale|east|sensor|34|shipped
1530|fulton|east|sensor|71|pending
1554|ionic|south|frame|26|shipped
1430|gale|east|cable|98|held
1562|harbor|west|gasket|80|pending
1603|fulton|east|pump|54|held
1680|dorian|north|valve|50|paid
1523|birch|south|cable|46|paid
1363|dorian|east|pump|14|held
1568|fulton|north|rotor|38|held
1330|birch|east|rotor|36|pending
1380|fulton|north|cable|28|shipped
1489|birch|west|sensor|31|shipped
1674|gale|west|rotor|23|pending
1419|harbor|north|panel|26|paid
```

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

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

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

model answer:

[
    {"tool": "cancel_order", "args": {"order_id": 1179}},
    {"tool": "restock", "args": {"item": "cable", "qty": 81}},
    {"tool": "cancel_order", "args": {"order_id": 1354}},
    {"tool": "restock", "args": {"item": "valve", "qty": 55}},
    {"tool": "cancel_order", "args": {"order_id": 1187}}
]

correctagentic.tools.deploy-v1conf 100% · 527ms · $0.002 · 102 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

[
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "health_check", "args": {"service": "notifier"}}
]

wrongagentic.tools.context-load-v1conf 100% · 1.4s · $0.014 · 179 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 (274 records, format: id|customer|region|item|qty|status):
```
1956|ionic|west|valve|60|shipped
1418|fulton|west|panel|14|paid
2172|gale|west|pump|96|held
1814|birch|east|frame|23|paid
1411|juno|north|valve|90|held
1523|juno|south|cable|85|held
1755|ionic|west|valve|91|held
1791|gale|west|rotor|20|pending
1800|harbor|south|frame|27|shipped
1698|ember|south|gasket|65|paid
1872|acme|south|panel|77|held
2151|birch|east|frame|20|shipped
1461|acme|north|cable|76|held
2197|ember|north|panel|34|held
2351|ember|north|rotor|31|pending
1540|dorian|west|rotor|92|pending
1536|harbor|north|cable|13|held
1562|cobalt|west|cable|12|paid
1326|acme|west|panel|63|pending
2051|gale|north|cable|42|paid
1918|ionic|north|gasket|14|paid
2056|ember|south|panel|30|held
1320|acme|west|gasket|63|held
1736|acme|north|frame|52|paid
1386|dorian|west|gasket|55|shipped
2330|gale|west|valve|28|held
2193|harbor|north|gasket|35|shipped
1545|gale|west|frame|64|held
1989|birch|south|valve|15|shipped
2114|harbor|south|sensor|14|held
2145|fulton|south|frame|11|pending
2358|gale|south|gasket|52|shipped
1685|ember|east|gasket|29|shipped
2234|cobalt|east|rotor|41|pending
2109|birch|west|frame|89|held
1554|ionic|north|panel|15|paid
1775|cobalt|east|panel|78|held
2204|gale|east|valve|19|held
1692|fulton|east|rotor|25|shipped
2085|acme|south|rotor|82|paid
2340|acme|south|panel|29|paid
1607|ionic|south|rotor|48|pending
1454|birch|west|valve|49|held
1825|ionic|south|pump|74|held
1464|acme|west|panel|67|held
2290|ionic|north|cable|36|pending
1564|juno|east|cable|57|pending
1624|birch|east|cable|20|shipped
1850|fulton|west|pump|37|paid
2028|cobalt|west|pump|73|held
1539|cobalt|east|valve|87|shipped
1486|juno|east|panel|64|paid
2126|birch|north|valve|27|pending
1315|acme|south|panel|35|pending
1432|dorian|west|panel|98|pending
1618|birch|east|cable|67|held
1642|gale|south|sensor|54|paid
1312|acme|west|pump|17|pending
2227|fulton|west|pump|95|shipped
2089|birch|north|gasket|79|pending
1471|ionic|east|rotor|23|paid
1801|fulton|west|rotor|13|pending
1368|fulton|east|panel|54|paid
1347|acme|west|cable|31|paid
1888|acme|west|sensor|21|paid
1740|acme|west|panel|96|pending
1355|ember|east|sensor|40|held
1848|ionic|north|panel|29|held
2062|cobalt|west|valve|56|shipped
1403|juno|north|frame|56|paid
1754|ionic|north|frame|16|held
1510|fulton|north|sensor|75|pending
1672|gale|north|pump|80|pending
1487|harbor|south|panel|49|pending
1981|ionic|north|rotor|22|pending
1370|gale|north|sensor|54|held
1444|ionic|north|frame|74|pending
1529|ionic|south|valve|87|pending
1938|gale|south|sensor|17|held
2299|acme|east|panel|94|held
2223|juno|east|gasket|27|paid
2014|gale|north|gasket|24|paid
1408|ionic|west|panel|43|pending
2334|acme|north|cable|38|pending
2075|juno|north|pump|31|held
1663|juno|east|sensor|46|held
1632|ember|west|gasket|87|pending
2188|ionic|south|rotor|73|held
1881|fulton|south|cable|12|shipped
1518|dorian|south|panel|88|pending
2318|ember|north|gasket|99|held
1704|gale|south|pump|39|pending
1664|dorian|west|cable|55|shipped
1727|acme|south|gasket|21|pending
1994|cobalt|east|rotor|59|paid
2255|juno|west|rotor|50|paid
1633|ember|south|frame|77|pending
2069|juno|north|cable|55|held
2346|dorian|west|panel|60|pending
1854|fulton|west|rotor|41|shipped
2238|harbor|west|rotor|43|pending
1613|ionic|east|frame|60|held
1895|dorian|west|pump|12|paid
2039|dorian|south|valve|61|pending
2118|gale|south|valve|43|pending
1604|juno|north|gasket|34|held
1496|ionic|south|gasket|96|held
1457|juno|north|gasket|59|paid
2097|dorian|north|panel|16|pending
1541|harbor|east|pump|83|held
2021|birch|west|cable|69|pending
1978|juno|south|panel|71|held
1721|harbor|north|frame|73|paid
2088|birch|east|rotor|20|pending
1531|dorian|west|sensor|99|shipped
1652|harbor|west|pump|55|shipped
1708|dorian|north|valve|17|paid
2319|birch|south|gasket|43|shipped
2266|dorian|north|pump|12|held
1396|juno|east|pump|47|paid
2292|juno|north|frame|18|pending
1669|birch|south|valve|81|held
1788|ember|north|panel|66|held
2271|birch|north|cable|78|held
2283|juno|west|gasket|48|shipped
1643|fulton|east|rotor|81|held
1807|harbor|north|rotor|61|paid
1760|ionic|east|gasket|73|held
1497|gale|west|cable|77|shipped
1798|dorian|north|valve|59|pending
2262|juno|south|sensor|84|paid
2029|acme|east|cable|93|paid
2196|juno|north|rotor|39|pending
1964|fulton|east|gasket|13|pending
1823|ember|west|sensor|28|shipped
1924|acme|west|cable|87|shipped
1737|ionic|north|pump|24|held
1491|ember|north|pump|57|shipped
1410|juno|north|frame|60|pending
1593|birch|north|frame|25|shipped
2070|fulton|west|gasket|70|paid
1757|ionic|south|gasket|72|paid
1425|harbor|north|gasket|81|pending
1470|harbor|east|sensor|20|held
1505|birch|south|rotor|96|paid
2250|cobalt|west|sensor|67|held
1361|ember|south|valve|69|held
2337|harbor|west|panel|80|held
2128|acme|south|cable|91|shipped
1931|cobalt|south|valve|50|held
2015|fulton|south|pump|91|held
1585|ember|south|pump|20|held
1375|dorian|south|rotor|35|pending
1972|acme|west|cable|13|pending
1615|birch|east|frame|95|paid
1769|ionic|north|cable|68|pending
1622|gale|north|valve|66|paid
1568|fulton|north|pump|57|paid
1875|ember|south|rotor|43|shipped
1830|harbor|north|rotor|63|shipped
1745|fulton|east|valve|59|shipped
2012|birch|south|cable|34|pending
1557|ionic|east|cable|18|held
1865|acme|south|gasket|12|held
1682|acme|south|gasket|61|paid
1393|dorian|north|sensor|98|pending
2001|cobalt|west|panel|72|shipped
1720|birch|north|pump|80|held
2288|ionic|north|sensor|19|paid
1451|dorian|west|panel|11|paid
1605|cobalt|north|gasket|24|shipped
2362|juno|north|cable|46|shipped
1382|cobalt|west|pump|80|shipped
2209|cobalt|west|cable|82|pending
2103|gale|west|frame|52|shipped
2183|harbor|south|panel|73|paid
1437|ember|west|gasket|49|pending
1638|dorian|south|valve|96|paid
1781|cobalt|south|frame|35|pending
1344|acme|north|valve|80|pending
1359|dorian|south|valve|22|pending
1662|acme|west|cable|51|held
2278|harbor|west|valve|91|paid
1913|gale|south|cable|74|paid
2026|fulton|south|cable|83|shipped
1839|juno|south|frame|36|paid
2132|gale|east|frame|99|paid
1982|cobalt|west|gasket|96|pending
1546|gale|north|valve|54|pending
2325|birch|south|pump|42|held
2078|ember|east|frame|42|held
1884|gale|west|cable|29|paid
2265|fulton|west|gasket|16|shipped
2176|dorian|south|cable|32|paid
2037|cobalt|south|valve|50|held
2163|dorian|west|cable|45|paid
1330|acme|south|valve|57|pending
1829|gale|east|rotor|39|shipped
1901|ionic|north|valve|43|paid
2180|fulton|south|frame|76|paid
2033|harbor|west|sensor|28|shipped
2157|juno|north|frame|57|shipped
1352|juno|east|sensor|82|pending
2309|harbor|west|frame|95|pending
2094|dorian|north|valve|78|paid
2006|juno|south|pump|74|shipped
1573|dorian|east|rotor|79|shipped
1648|juno|south|sensor|16|pending
2294|ember|east|valve|95|held
2036|harbor|north|gasket|11|shipped
2276|birch|north|panel|12|shipped
1337|acme|west|rotor|40|pending
1597|dorian|north|valve|54|paid
2125|dorian|east|valve|67|shipped
1479|juno|north|cable|44|paid
2169|cobalt|west|cable|48|shipped
1845|gale|west|gasket|53|paid
1751|cobalt|south|sensor|58|held
1960|ionic|west|panel|43|pending
1817|dorian|north|valve|61|shipped
2139|dorian|east|gasket|77|held
2133|ionic|south|gasket|33|paid
1591|acme|west|gasket|64|paid
1784|harbor|west|sensor|33|shipped
1439|harbor|north|rotor|36|held
1463|juno|north|frame|82|pending
1979|dorian|east|rotor|58|pending
1502|ember|west|rotor|64|paid
1512|dorian|east|sensor|86|pending
1509|harbor|north|cable|68|held
1560|cobalt|north|rotor|12|paid
1988|ember|west|gasket|29|held
1475|ember|south|pump|81|pending
1716|ember|west|panel|31|shipped
1991|dorian|south|pump|98|pending
1551|acme|south|pump|65|held
1857|cobalt|east|cable|78|pending
1945|gale|west|cable|67|pending
1764|fulton|south|panel|76|held
1951|harbor|north|sensor|56|shipped
2327|harbor|west|valve|19|paid
1838|birch|south|panel|41|shipped
1580|juno|east|sensor|83|held
1795|acme|north|gasket|39|paid
1908|harbor|north|pump|97|held
1928|ember|east|pump|40|paid
1626|dorian|south|valve|81|pending
2214|cobalt|east|pump|36|pending
2044|dorian|east|pump|65|pending
2243|juno|west|cable|86|pending
1904|acme|north|gasket|87|shipped
2305|ember|north|cable|24|shipped
1713|birch|south|valve|85|paid
1679|birch|west|gasket|55|held
1969|fulton|west|valve|34|held
2104|cobalt|east|valve|54|held
1860|dorian|south|gasket|50|paid
2259|juno|south|panel|68|pending
1929|cobalt|south|pump|45|held
2220|ionic|south|cable|84|held
1392|cobalt|south|panel|67|held
1837|juno|west|cable|15|shipped
1436|fulton|south|frame|98|shipped
2038|gale|south|cable|48|held
1658|acme|east|cable|85|shipped
1992|cobalt|north|frame|39|shipped
1731|birch|west|pump|55|pending
1462|acme|north|frame|89|held
2313|gale|east|rotor|76|held
2221|ionic|north|frame|33|paid
2149|gale|south|cable|89|held
1680|acme|west|gasket|90|paid
1331|acme|west|rotor|30|held
2251|fulton|east|sensor|23|paid
```

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 > 45, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[
  {"tool": "cancel_order", "args": {"order_id": 1312}},
  {"tool": "cancel_order", "args": {"order_id": 1326}},
  {"tool": "cancel_order", "args": {"order_id": 1337}},
  {"tool": "restock", "args": {"item": "panel", "qty": 96}},
  {"tool": "cancel_order", "args": {"order_id": 1727}},
  {"tool": "cancel_order", "args": {"order_id": 1740}},
  {"tool": "cancel_order", "args": {"order_id": 1972}}
]

correctagentic.tools.ledger-v1conf 100% · 264ms · $0.003 · 175 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $715
- tango: $149
- lima: $576

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $404 from "bravo" to "lima"
2. pay $261 from "tango" to "bravo"
3. pay $331 from "bravo" to "tango"
4. pay $290 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": "lima", "amount": 404}},
    {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 112}},
    {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 261}},
    {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 331}},
    {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 290}}
]

correctagentic.tools.triage-v1conf 100% · 286ms · $0.003 · 211 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 → novak
- payments → silva
- data → okafor

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 4)
2. "SSO loop on login" (category: auth, priority 4)
3. "dashboard shows stale numbers" (category: data, priority 8)

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

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

model answer:

[
  {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
  {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
  {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 8}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}
]

correctagentic.tools.deploy-v1conf 100% · 248ms · $0.002 · 103 tok

question

You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- auth-svc: gateway
- notifier: gateway
- reports: 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 "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": "gateway"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "health_check", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "deploy", "args": {"service": "reports"}}
]

wrongagentic.tools.ledger-v1conf 100% · 258ms · $0.003 · 200 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: $447
- tango: $509
- lima: $581

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $154 from "lima" to "tango"
2. pay $377 from "tango" to "lima"
3. pay $213 from "delta" to "lima"
4. pay $282 from "lima" 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": "lima", "to": "tango", "amount": 154}},
    {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 232}},
    {"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 377}},
    {"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 213}},
    {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 148}},
    {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 282}}
]

wrongagentic.tools.context-load-v1conf 100% · 849ms · $0.011 · 156 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 (188 records, format: id|customer|region|item|qty|status):
```
1352|acme|east|cable|65|held
2065|ember|west|rotor|16|held
1329|harbor|east|panel|58|held
1469|cobalt|west|pump|45|paid
1823|harbor|west|panel|96|shipped
1345|harbor|east|gasket|52|held
1651|gale|east|frame|98|held
1788|acme|north|panel|42|paid
1484|ember|east|rotor|20|pending
1795|fulton|south|frame|69|pending
1476|harbor|east|valve|63|pending
1390|fulton|north|gasket|20|shipped
1606|harbor|south|panel|90|held
1534|birch|north|valve|76|paid
1725|juno|west|valve|65|pending
1412|gale|west|pump|25|paid
1369|cobalt|south|frame|83|shipped
1521|juno|west|pump|97|shipped
2019|acme|west|pump|59|pending
1731|fulton|north|cable|83|shipped
2036|harbor|south|gasket|93|pending
1608|dorian|east|rotor|88|paid
1741|fulton|south|sensor|72|shipped
1379|ember|north|valve|78|held
1868|ionic|west|pump|20|shipped
1758|gale|west|cable|27|pending
1718|fulton|north|panel|76|paid
1358|cobalt|north|sensor|70|paid
1913|dorian|west|pump|58|held
1918|ionic|north|frame|35|pending
1325|harbor|west|cable|15|pending
1948|gale|north|valve|86|pending
2012|birch|south|rotor|60|shipped
1914|fulton|north|cable|16|held
2010|ember|west|panel|32|pending
1907|dorian|south|valve|83|held
1568|ember|south|valve|49|paid
1442|fulton|east|panel|36|paid
1748|gale|west|gasket|45|pending
1878|cobalt|south|rotor|86|pending
1782|birch|south|gasket|57|shipped
1615|fulton|north|rotor|29|shipped
1884|acme|east|rotor|93|held
1550|fulton|north|gasket|18|paid
1831|fulton|east|sensor|14|shipped
1968|cobalt|south|pump|52|pending
1943|acme|east|rotor|11|pending
1495|fulton|north|rotor|87|paid
1773|acme|north|frame|61|paid
1845|juno|east|frame|58|paid
1454|fulton|west|rotor|77|held
1399|dorian|north|gasket|20|paid
1960|acme|north|gasket|32|paid
1513|acme|south|panel|77|shipped
1702|birch|west|pump|93|pending
1740|ember|west|cable|76|held
1851|acme|east|pump|82|paid
1711|gale|north|rotor|65|pending
1953|ember|south|rotor|74|pending
1418|dorian|east|panel|68|held
1597|birch|north|valve|92|held
1706|ionic|south|panel|59|held
1658|gale|west|gasket|29|held
1755|fulton|west|pump|43|paid
1433|birch|west|pump|88|shipped
1648|juno|south|rotor|95|paid
2071|fulton|north|rotor|87|shipped
1744|acme|east|rotor|34|shipped
1910|juno|north|cable|32|shipped
1519|juno|south|pump|14|pending
1602|fulton|west|rotor|23|pending
1737|birch|south|rotor|10|held
1661|fulton|east|sensor|18|held
1694|harbor|west|cable|33|pending
1341|harbor|west|gasket|71|pending
1834|fulton|west|gasket|73|paid
1618|dorian|south|sensor|74|paid
1557|ember|south|panel|65|paid
1893|cobalt|north|gasket|91|paid
1684|fulton|east|pump|36|shipped
1427|ionic|north|frame|61|held
1546|harbor|south|gasket|78|shipped
1820|cobalt|north|rotor|41|shipped
2048|juno|south|panel|35|pending
1483|birch|south|valve|42|held
1455|ember|south|pump|28|shipped
2022|gale|south|panel|48|shipped
1558|dorian|north|rotor|87|paid
1935|acme|west|cable|58|paid
2003|ember|south|frame|35|pending
1992|birch|west|frame|83|shipped
1565|acme|south|pump|96|held
1929|birch|east|sensor|13|pending
1768|acme|north|rotor|20|paid
1857|fulton|south|valve|81|paid
1575|cobalt|south|rotor|47|pending
1309|harbor|north|rotor|43|pending
2018|fulton|north|rotor|14|pending
1486|juno|north|cable|43|pending
1582|fulton|south|frame|60|paid
1498|birch|south|pump|68|pending
1417|juno|north|frame|65|pending
1809|ionic|south|gasket|89|shipped
1636|juno|west|sensor|12|shipped
1629|ember|west|cable|46|held
1448|ionic|east|frame|19|held
1841|dorian|west|panel|99|pending
1478|acme|north|cable|49|held
1510|birch|east|sensor|73|shipped
1527|gale|south|valve|31|paid
1605|fulton|east|frame|64|paid
1800|dorian|south|panel|57|paid
1985|fulton|north|cable|94|held
1538|dorian|north|valve|31|paid
1544|dorian|south|gasket|30|paid
1585|ember|north|sensor|33|pending
1779|harbor|north|cable|55|paid
1723|birch|north|rotor|67|held
1859|dorian|north|pump|86|paid
1402|harbor|west|pump|66|pending
1967|juno|south|sensor|35|paid
1533|gale|south|pump|57|held
1462|ionic|east|gasket|48|shipped
1763|acme|south|gasket|35|paid
1695|harbor|east|gasket|25|pending
1762|dorian|north|sensor|84|pending
1828|juno|west|gasket|89|pending
1321|harbor|east|pump|90|pending
1667|ionic|north|pump|63|shipped
2025|birch|south|pump|83|shipped
1689|dorian|north|sensor|70|pending
1384|ionic|north|rotor|85|shipped
1371|fulton|north|gasket|24|held
1421|fulton|north|gasket|85|paid
1769|gale|east|panel|94|paid
1631|cobalt|west|cable|54|paid
1869|juno|north|pump|54|shipped
1363|cobalt|east|pump|22|paid
1508|ionic|west|frame|69|held
1439|cobalt|west|valve|26|held
1974|fulton|west|valve|30|paid
1368|acme|west|pump|31|shipped
1677|harbor|south|panel|77|paid
1674|ember|north|sensor|61|paid
1805|harbor|west|gasket|35|pending
1395|gale|south|valve|53|pending
1949|ember|north|valve|21|paid
1979|birch|west|frame|30|paid
1700|acme|west|valve|91|shipped
1592|fulton|north|gasket|69|pending
1816|birch|east|valve|88|paid
1886|birch|north|gasket|50|pending
1792|cobalt|south|rotor|43|paid
1491|birch|west|valve|12|paid
1940|ember|east|frame|38|held
2059|dorian|east|panel|98|held
1848|juno|south|cable|62|shipped
1746|acme|east|panel|94|shipped
1405|cobalt|south|sensor|11|shipped
1875|cobalt|south|panel|26|paid
1430|harbor|west|valve|50|pending
1959|acme|north|valve|39|paid
1923|acme|west|frame|46|pending
1622|cobalt|south|sensor|38|pending
1441|harbor|south|pump|48|pending
2032|gale|west|frame|19|shipped
1735|harbor|west|cable|36|shipped
1335|harbor|east|pump|32|pending
1393|harbor|south|sensor|44|paid
1520|acme|east|gasket|57|paid
2055|dorian|north|panel|65|paid
2043|dorian|south|rotor|25|shipped
1995|fulton|south|valve|36|shipped
1504|fulton|east|gasket|41|held
1999|ionic|south|pump|89|shipped
1372|fulton|east|sensor|76|pending
1316|harbor|east|valve|60|held
1643|birch|south|gasket|27|shipped
1305|harbor|east|sensor|45|pending
1819|juno|north|frame|11|pending
1649|ember|east|sensor|51|paid
2060|fulton|south|cable|80|pending
1970|ember|west|valve|46|shipped
1703|fulton|south|gasket|97|held
1865|acme|west|sensor|68|shipped
2056|birch|south|rotor|65|pending
1389|gale|east|gasket|42|held
1900|cobalt|east|panel|74|held
```

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

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

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

model answer:

[
    {"tool": "cancel_order", "args": {"order_id": 1321}},
    {"tool": "cancel_order", "args": {"order_id": 1335}},
    {"tool": "cancel_order", "args": {"order_id": 1341}},
    {"tool": "cancel_order", "args": {"order_id": 1476}},
    {"tool": "restock", "args": {"item": "pump", "qty": 90}},
    {"tool": "cancel_order", "args": {"order_id": 1695}}
]

correctagentic.tools.triage-v1conf 100% · 199ms · $0.004 · 276 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → rivera
- payments → novak
- infra → haddad

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

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

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

model answer:

[
  {
    "tool": "create_ticket",
    "args": {
      "title": "export file corrupted",
      "priority": 8
    }
  },
  {
    "tool": "escalate",
    "args": {
      "ticket_id": "TCK-1"
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-1",
      "agent": "rivera"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "export file corrupted",
      "priority": 8
    }
  },
  {
    "tool": "close_ticket",
    "args": {
      "ticket_id": "TCK-2",
      "resolution": "duplicate of TCK-1"
    }
  },
  {
    "tool": "create_ticket",
    "args": {
      "title": "webhooks not delivered",
      "priority": 4
    }
  },
  {
    "tool": "assign",
    "args": {
      "ticket_id": "TCK-3",
      "agent": "haddad"
    }
  }
]

wrongagentic.tools.deploy-v1conf 100% · 649ms · $0.002 · 101 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: gateway
- gateway: (none)
- notifier: auth-svc, gateway
- auth-svc: search

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

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

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

model answer:

[
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "health_check", "args": {"service": "notifier"}}
]

correctagentic.tools.ledger-v1conf 100% · 227ms · $0.003 · 198 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: $381
- delta: $647
- echo: $300

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $568 from "delta" to "lima"
2. pay $547 from "echo" to "lima"
3. pay $462 from "lima" to "echo"
4. pay $133 from "lima" to "delta"
5. pay $293 from "lima" 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": "lima", "amount": 568}},
    {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 247}},
    {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 547}},
    {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 462}},
    {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 133}},
    {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 293}}
]

wrongagentic.tools.context-load-v1conf 100% · 838ms · $0.012 · 331 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 (182 records, format: id|customer|region|item|qty|status):
```
1950|dorian|south|panel|46|paid
1913|cobalt|east|pump|13|held
1843|juno|south|sensor|97|paid
1203|birch|north|valve|43|pending
1506|fulton|east|cable|55|pending
1444|juno|north|sensor|63|shipped
1798|ionic|south|panel|17|held
1418|gale|west|gasket|61|shipped
1382|ionic|west|pump|48|held
1791|dorian|west|sensor|81|held
1826|gale|east|frame|91|pending
1244|birch|east|gasket|50|held
1544|harbor|south|gasket|39|held
1821|dorian|west|panel|94|pending
1317|cobalt|north|panel|58|paid
1569|fulton|east|valve|90|shipped
1225|birch|east|panel|93|held
1938|birch|east|frame|66|shipped
1231|birch|east|cable|68|pending
1484|dorian|west|cable|72|shipped
1722|gale|west|valve|27|shipped
1518|acme|north|panel|78|paid
1470|gale|east|valve|76|shipped
1543|ember|west|cable|94|pending
1279|acme|north|sensor|78|shipped
1391|gale|south|cable|33|paid
1198|birch|east|cable|86|pending
1372|ember|south|sensor|13|held
1421|birch|south|valve|27|pending
1573|ionic|south|pump|57|paid
1592|dorian|south|rotor|59|held
1550|ember|south|pump|27|shipped
1576|ionic|south|gasket|42|pending
1734|fulton|west|panel|56|pending
1587|gale|south|panel|95|paid
1600|fulton|south|panel|17|held
1925|fulton|west|valve|33|shipped
1404|acme|north|pump|17|held
1357|ionic|east|valve|14|paid
1810|dorian|north|gasket|81|held
1436|cobalt|north|cable|14|held
1852|harbor|south|valve|41|paid
1344|birch|north|cable|36|held
1486|cobalt|south|sensor|20|paid
1432|cobalt|north|rotor|14|pending
1582|juno|west|panel|26|shipped
1696|ionic|east|cable|83|held
1933|ember|east|cable|40|pending
1894|juno|west|sensor|93|paid
1302|dorian|east|panel|19|held
1315|dorian|south|valve|27|shipped
1671|dorian|west|frame|30|shipped
1334|ionic|east|cable|82|pending
1844|cobalt|south|gasket|56|paid
1885|acme|north|pump|43|paid
1530|fulton|east|frame|55|shipped
1411|juno|north|rotor|83|held
1594|gale|south|sensor|76|paid
1924|harbor|east|gasket|92|paid
1515|cobalt|south|pump|51|held
1321|harbor|north|gasket|17|shipped
1660|acme|east|cable|23|shipped
1729|cobalt|north|frame|76|pending
1213|birch|east|valve|59|pending
1451|birch|east|cable|26|pending
1348|cobalt|east|gasket|47|paid
1872|fulton|north|frame|50|pending
1468|acme|south|pump|92|shipped
1751|gale|south|pump|54|pending
1289|juno|east|cable|19|held
1738|ionic|south|pump|32|held
1264|juno|north|frame|66|held
1509|acme|north|frame|39|pending
1284|gale|west|rotor|73|held
1617|fulton|south|sensor|99|held
1603|birch|east|frame|38|paid
1931|acme|east|rotor|80|pending
1353|ionic|east|valve|78|pending
1726|juno|south|valve|97|shipped
1748|birch|east|pump|32|shipped
1475|harbor|east|frame|37|pending
1538|ionic|east|rotor|14|held
1337|juno|north|sensor|97|paid
1897|harbor|east|frame|55|paid
1803|ionic|west|gasket|92|shipped
1921|acme|south|frame|12|paid
1467|ionic|north|pump|14|held
1862|harbor|south|cable|82|paid
1256|dorian|west|gasket|86|held
1822|ember|west|pump|58|shipped
1677|ionic|south|rotor|50|pending
1920|fulton|south|rotor|71|pending
1779|dorian|east|cable|43|held
1623|acme|west|sensor|56|held
1417|fulton|east|frame|74|shipped
1807|fulton|west|frame|84|pending
1563|fulton|west|cable|23|held
1367|gale|west|sensor|14|paid
1652|harbor|west|rotor|25|paid
1710|acme|east|valve|35|paid
1649|juno|north|gasket|82|held
1703|cobalt|east|gasket|80|held
1463|ember|north|sensor|54|pending
1664|acme|south|rotor|85|shipped
1482|juno|north|pump|18|pending
1262|ember|west|frame|90|held
1752|cobalt|north|frame|35|held
1654|ionic|east|pump|45|held
1842|juno|south|pump|65|held
1489|ionic|south|pump|17|shipped
1274|birch|north|panel|74|paid
1500|gale|south|sensor|77|shipped
1414|ember|south|cable|28|paid
1375|acme|north|sensor|17|paid
1557|ember|south|panel|56|pending
1740|gale|west|sensor|79|paid
1833|birch|east|rotor|28|pending
1952|acme|south|cable|48|pending
1698|juno|north|frame|99|shipped
1716|juno|south|pump|18|pending
1892|juno|south|frame|64|held
1525|birch|south|panel|78|pending
1615|dorian|west|rotor|98|pending
1425|cobalt|west|rotor|36|shipped
1911|ember|south|sensor|43|shipped
1442|fulton|west|valve|61|held
1689|ember|north|rotor|85|paid
1309|dorian|north|frame|99|shipped
1403|juno|north|valve|96|shipped
1452|ionic|north|sensor|94|pending
1614|ionic|west|rotor|21|shipped
1327|acme|south|pump|34|held
1837|harbor|north|rotor|10|held
1625|ionic|south|pump|45|shipped
1604|gale|west|cable|73|held
1295|gale|west|cable|45|shipped
1875|dorian|south|panel|78|pending
1493|cobalt|west|gasket|87|shipped
1847|juno|north|sensor|55|paid
1528|birch|west|gasket|99|pending
1759|cobalt|south|gasket|29|held
1784|juno|north|cable|68|shipped
1517|dorian|south|pump|74|pending
1679|cobalt|west|sensor|11|shipped
1531|cobalt|west|gasket|87|shipped
1945|harbor|west|frame|74|pending
1474|ionic|east|panel|88|paid
1268|harbor|west|rotor|15|paid
1766|birch|south|gasket|40|shipped
1480|birch|south|cable|44|pending
1605|dorian|north|valve|88|pending
1608|juno|south|gasket|29|shipped
1783|ionic|south|frame|95|paid
1859|juno|south|gasket|65|pending
1835|ember|east|rotor|19|held
1772|juno|south|cable|14|held
1896|ember|south|valve|54|held
1861|dorian|west|frame|18|held
1906|juno|south|gasket|60|held
1249|ember|north|gasket|47|paid
1209|birch|east|rotor|98|held
1458|birch|north|valve|60|shipped
1220|birch|south|sensor|96|pending
1395|cobalt|west|frame|23|pending
1364|birch|west|rotor|10|shipped
1749|ionic|north|pump|78|held
1642|dorian|east|gasket|49|shipped
1944|harbor|west|frame|43|shipped
1742|acme|south|cable|73|pending
1902|acme|east|sensor|74|paid
1237|birch|north|panel|69|pending
1683|ember|west|pump|29|held
1356|gale|east|sensor|64|shipped
1397|ember|south|panel|15|pending
1814|birch|north|gasket|83|pending
1777|fulton|west|frame|93|held
1880|ember|north|panel|70|paid
1867|ionic|south|gasket|18|held
1639|cobalt|north|sensor|46|pending
1384|ember|west|valve|69|pending
1632|juno|east|panel|45|pending
1449|acme|south|frame|67|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[
  {"tool": "restock", "args": {"item": "valve", "qty": 43}},
  {"tool": "restock", "args": {"item": "cable", "qty": 68}},
  {"tool": "restock", "args": {"item": "frame", "qty": 66}},
  {"tool": "restock", "args": {"item": "cable", "qty": 26}},
  {"tool": "restock", "args": {"item": "valve", "qty": 59}},
  {"tool": "restock", "args": {"item": "cable", "qty": 86}},
  {"tool": "restock", "args": {"item": "valve", "qty": 27}},
  {"tool": "restock", "args": {"item": "pump", "qty": 32}},
  {"tool": "restock", "args": {"item": "frame", "qty": 38}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 28}},
  {"tool": "restock", "args": {"item": "panel", "qty": 78}},
  {"tool": "restock", "args": {"item": "gasket", "qty": 44}},
  {"tool": "restock", "args": {"item": "panel", "qty": 69}}
]

correctagentic.tools.triage-v1conf 100% · 292ms · $0.003 · 211 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 → tanaka
- data → okafor
- auth → dubois

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 6)
2. "records missing after import" (category: data, priority 8)
3. "card declined at checkout" (category: payments, 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": "card declined at checkout", "priority": 6}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
    {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
    {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 6}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]

wrongagentic.tools.ledger-v1conf 100% · 522ms · $0.004 · 268 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $592
- oscar: $503
- alpha: $888

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $352 from "alpha" to "bravo"
2. pay $507 from "alpha" to "oscar"
3. pay $479 from "bravo" to "oscar"
4. pay $145 from "bravo" to "oscar"
5. pay $492 from "bravo" 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": "alpha", "to": "bravo", "amount": 352}},
    {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 121}},
    {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 507}},
    {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 239}},
    {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 479}},
    {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 145}},
    {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 350}},
    {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 492}}
]

correctagentic.tools.deploy-v1conf 100% · 260ms · $0.002 · 99 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

[
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "health_check", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "deploy", "args": {"service": "billing"}}
]

wrongagentic.tools.context-load-v1conf 100% · 647ms · $0.011 · 273 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 (180 records, format: id|customer|region|item|qty|status):
```
1687|ionic|west|sensor|31|held
1775|acme|west|gasket|26|held
1867|ionic|south|panel|57|shipped
1464|ionic|north|frame|99|pending
1715|ionic|east|gasket|59|held
1962|juno|west|cable|24|held
1960|ionic|east|rotor|13|paid
1997|harbor|south|panel|53|pending
1811|acme|north|frame|67|held
1335|birch|east|gasket|21|held
1965|gale|south|frame|88|pending
1605|fulton|west|frame|24|paid
1842|ember|south|rotor|10|held
1656|fulton|west|pump|30|paid
1534|harbor|north|rotor|62|pending
1410|birch|east|pump|82|paid
1630|dorian|west|frame|77|pending
1635|birch|west|panel|42|pending
1673|acme|east|sensor|47|shipped
1332|birch|east|cable|75|pending
1813|fulton|south|rotor|33|shipped
1872|dorian|north|rotor|66|pending
1500|ember|north|pump|53|held
1913|fulton|north|rotor|86|held
1785|gale|south|valve|94|pending
1397|birch|east|cable|68|shipped
1870|dorian|north|pump|13|paid
1764|harbor|south|cable|43|shipped
1694|juno|west|panel|60|shipped
1767|ionic|west|valve|28|paid
1457|harbor|north|valve|10|paid
1541|birch|west|valve|13|paid
1792|dorian|east|panel|56|held
1477|harbor|south|frame|88|pending
1905|birch|south|rotor|49|shipped
1587|juno|south|cable|61|pending
1498|ember|west|cable|80|paid
1809|ember|west|frame|74|pending
1850|dorian|west|sensor|93|pending
1353|birch|east|panel|34|paid
1366|gale|west|rotor|39|held
1448|cobalt|south|pump|73|held
1507|fulton|south|sensor|71|paid
1499|ember|south|sensor|75|shipped
1827|juno|north|cable|58|shipped
1759|ionic|west|pump|33|shipped
1783|birch|south|sensor|16|pending
1432|dorian|east|panel|13|pending
1853|gale|south|cable|72|pending
1735|harbor|west|panel|18|held
1747|fulton|east|sensor|24|paid
1881|harbor|east|cable|45|paid
1514|harbor|east|pump|58|pending
1833|ember|north|sensor|11|pending
1718|harbor|north|pump|10|held
1317|birch|north|frame|43|pending
1721|cobalt|south|gasket|32|pending
1975|acme|south|gasket|89|pending
1585|cobalt|south|valve|97|shipped
1487|acme|east|gasket|83|held
1971|harbor|north|frame|43|shipped
1320|birch|east|sensor|13|shipped
1926|harbor|south|valve|28|shipped
1663|acme|north|sensor|51|paid
1727|gale|north|valve|75|shipped
1404|gale|east|rotor|66|held
1848|gale|south|cable|69|pending
1595|acme|north|pump|45|held
1786|fulton|west|panel|48|pending
1956|dorian|south|pump|57|shipped
1642|fulton|west|frame|66|held
1974|dorian|east|frame|37|held
1988|ember|east|sensor|13|paid
1885|cobalt|north|rotor|88|held
1771|gale|north|panel|85|held
1479|birch|north|valve|71|shipped
1555|dorian|north|cable|68|paid
1443|harbor|east|frame|48|held
1322|birch|east|gasket|99|pending
1814|fulton|west|gasket|42|held
1836|juno|north|gasket|94|paid
1439|acme|south|panel|26|held
1772|dorian|south|cable|35|shipped
1470|birch|north|gasket|51|paid
1703|ember|east|sensor|58|pending
1820|gale|north|cable|92|pending
1688|ember|north|sensor|74|held
1463|fulton|east|rotor|47|paid
1431|ionic|north|cable|91|paid
1666|ember|east|valve|42|paid
1428|acme|east|panel|76|shipped
1796|juno|south|frame|34|shipped
1386|harbor|north|rotor|90|held
1378|dorian|south|rotor|27|pending
1994|ember|west|pump|80|pending
1519|juno|west|pump|74|shipped
1589|dorian|south|frame|89|held
1739|acme|south|panel|21|pending
1928|harbor|north|pump|32|pending
1743|dorian|north|gasket|32|held
1860|acme|north|pump|26|paid
1355|birch|east|frame|23|pending
1754|birch|east|sensor|71|paid
1680|dorian|north|panel|29|paid
1977|fulton|south|gasket|69|pending
1533|gale|west|frame|54|pending
1999|cobalt|south|gasket|31|held
1612|cobalt|east|gasket|63|held
1696|birch|west|frame|39|paid
1560|dorian|north|rotor|57|pending
1825|juno|east|rotor|88|paid
1714|juno|west|frame|95|shipped
1875|ember|east|frame|85|held
1732|fulton|north|panel|48|held
1918|fulton|north|frame|57|paid
1430|dorian|west|gasket|60|held
1569|juno|south|sensor|78|held
1708|harbor|west|cable|38|shipped
1527|harbor|east|sensor|15|held
1802|cobalt|south|cable|80|pending
1941|acme|east|sensor|15|paid
1416|harbor|south|pump|28|pending
1450|cobalt|east|rotor|23|held
1900|cobalt|south|frame|93|shipped
1579|fulton|east|sensor|68|shipped
1513|ionic|west|gasket|88|pending
1947|harbor|west|pump|20|pending
1600|harbor|north|sensor|47|held
1893|harbor|west|frame|57|pending
1597|acme|west|pump|89|paid
1345|birch|west|pump|28|pending
1649|fulton|west|gasket|91|held
1549|gale|west|cable|90|shipped
1935|gale|south|sensor|15|shipped
1352|birch|east|frame|50|held
1626|gale|west|frame|73|shipped
1890|gale|east|frame|59|paid
1373|birch|west|sensor|16|paid
1423|harbor|north|valve|49|shipped
1330|birch|east|gasket|41|held
1982|dorian|south|pump|57|paid
1333|birch|south|valve|87|pending
1409|gale|east|frame|29|shipped
1733|ionic|east|valve|26|shipped
1921|harbor|east|cable|52|pending
1681|birch|east|pump|16|shipped
1741|birch|south|sensor|24|held
1686|ember|north|rotor|98|shipped
1465|dorian|east|valve|96|paid
1565|dorian|north|gasket|32|held
1675|acme|south|cable|74|paid
1310|birch|east|rotor|83|pending
2002|dorian|west|panel|29|pending
1573|fulton|west|valve|47|pending
1620|ionic|south|pump|81|held
1480|harbor|north|valve|72|held
1927|harbor|east|rotor|96|pending
1950|juno|south|sensor|20|pending
1632|harbor|west|rotor|64|paid
1327|birch|north|valve|14|pending
1342|birch|east|sensor|66|pending
1778|gale|south|gasket|21|held
1618|acme|east|panel|32|held
1912|ember|north|rotor|29|held
1413|fulton|south|valve|39|paid
1520|birch|east|valve|35|shipped
1909|acme|north|sensor|77|pending
1494|gale|north|valve|41|shipped
1540|gale|east|frame|29|shipped
1385|ember|north|cable|83|paid
1360|harbor|south|cable|26|paid
1976|juno|west|rotor|61|shipped
1804|acme|south|pump|33|paid
1395|ember|north|cable|91|held
1393|ionic|south|frame|39|held
1646|birch|west|valve|41|shipped
1724|cobalt|north|pump|52|pending
1496|birch|east|gasket|58|pending
1654|cobalt|north|cable|47|paid
1543|dorian|east|panel|56|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 69, 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": 1322}},
  {"tool": "cancel_order", "args": {"order_id": 1332}},
  {"tool": "cancel_order", "args": {"order_id": 1335}},
  {"tool": "cancel_order", "args": {"order_id": 1353}},
  {"tool": "cancel_order", "args": {"order_id": 1355}},
  {"tool": "cancel_order", "args": {"order_id": 1360}},
  {"tool": "cancel_order", "args": {"order_id": 1496}},
  {"tool": "restock", "args": {"item": "gasket", "qty": 99}},
  {"tool": "cancel_order", "args": {"order_id": 1783}},
  {"tool": "restock", "args": {"item": "sensor", "qty": 71}},
  {"tool": "cancel_order", "args": {"order_id": 1833}}
]

wrongagentic.tools.triage-v1conf 100% · 266ms · $0.004 · 248 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 → novak
- data → dubois
- infra → rivera

INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "refund double-charged" (category: payments, priority 7)
3. "uploads failing intermittently" (category: infra, priority 4)
4. "refund double-charged" (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": "refund double-charged", "priority": 7}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 4}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]

correctagentic.tools.deploy-v1conf 100% · 228ms · $0.002 · 100 tok

question

You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- search: billing, reports
- gateway: billing, reports
- 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": "reports"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "health_check", "args": {"service": "search"}}
]

wrongagentic.tools.context-load-v1conf 100% · 750ms · $0.015 · 318 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 (251 records, format: id|customer|region|item|qty|status):
```
1869|birch|south|frame|50|held
1440|juno|north|gasket|21|paid
1745|juno|north|frame|77|pending
2008|birch|east|panel|68|paid
1707|gale|north|rotor|22|held
1633|acme|west|panel|24|shipped
1056|birch|east|valve|27|pending
1419|cobalt|south|frame|32|pending
1966|harbor|west|gasket|53|shipped
1489|gale|south|sensor|11|pending
1013|birch|east|panel|18|pending
1205|gale|east|panel|66|shipped
1782|harbor|north|panel|97|shipped
1537|harbor|west|pump|38|shipped
1290|dorian|east|rotor|90|paid
1946|gale|east|cable|26|held
1607|birch|north|gasket|88|paid
1234|juno|west|cable|57|paid
1999|harbor|south|panel|51|shipped
1305|birch|west|panel|84|paid
1741|dorian|east|sensor|86|shipped
1435|acme|east|gasket|72|held
1832|acme|west|panel|98|pending
1798|juno|south|rotor|11|shipped
1043|birch|east|gasket|80|shipped
1213|juno|north|cable|53|paid
1753|cobalt|east|pump|72|paid
1769|harbor|north|pump|55|paid
1661|acme|south|gasket|12|paid
1952|harbor|west|gasket|52|pending
2039|dorian|east|sensor|53|held
1490|gale|south|panel|23|pending
1497|birch|east|frame|62|shipped
1917|gale|west|pump|57|pending
1902|ember|west|panel|97|held
2019|harbor|south|panel|20|paid
1847|dorian|west|panel|99|held
1879|ionic|north|pump|65|held
1187|ember|east|panel|85|pending
1457|ember|south|valve|91|pending
1589|gale|south|pump|14|held
1744|ember|west|cable|98|held
1601|gale|south|gasket|27|pending
2025|ionic|west|gasket|24|held
1681|acme|north|panel|36|shipped
1716|cobalt|east|pump|33|shipped
1689|cobalt|north|rotor|75|held
2038|dorian|north|rotor|57|held
1824|acme|south|panel|58|paid
1831|juno|west|frame|79|paid
1644|acme|west|rotor|80|shipped
1215|gale|west|sensor|42|paid
1370|ember|north|frame|58|paid
1485|juno|north|cable|61|shipped
1252|harbor|east|valve|62|paid
1259|dorian|west|pump|96|held
1240|harbor|north|valve|77|pending
1414|birch|east|rotor|91|paid
1648|birch|east|pump|10|held
1287|gale|east|valve|79|pending
1636|acme|east|valve|91|shipped
1063|birch|east|frame|60|shipped
1938|harbor|east|panel|23|shipped
2004|dorian|north|pump|90|shipped
1293|dorian|south|cable|19|shipped
1532|dorian|west|valve|20|shipped
1097|fulton|south|rotor|73|held
1077|acme|south|panel|12|paid
1119|birch|north|panel|81|shipped
1302|acme|west|gasket|75|paid
1984|harbor|east|gasket|94|paid
1408|ember|south|rotor|87|paid
1540|fulton|north|pump|24|pending
1402|fulton|east|gasket|70|held
1398|birch|east|sensor|64|held
1925|juno|west|frame|76|held
1747|cobalt|west|sensor|72|held
1864|ember|south|cable|68|shipped
1688|gale|east|panel|81|pending
1454|harbor|north|valve|37|pending
1959|harbor|south|cable|94|shipped
1029|birch|south|gasket|28|pending
1048|birch|north|pump|18|pending
1638|juno|west|gasket|71|held
1971|dorian|north|sensor|91|shipped
1338|ember|north|panel|16|held
1376|ionic|north|frame|22|paid
1312|acme|east|sensor|62|shipped
1363|acme|north|rotor|54|paid
1220|harbor|west|rotor|41|pending
2036|gale|north|pump|58|shipped
1604|birch|north|sensor|45|paid
1721|fulton|north|frame|72|pending
1039|birch|south|frame|85|pending
1713|gale|east|gasket|44|held
1094|dorian|east|valve|20|pending
1128|dorian|west|frame|97|held
1813|harbor|north|panel|38|shipped
1112|juno|east|valve|90|held
1592|ember|east|sensor|96|pending
1088|ember|east|valve|94|shipped
1809|juno|west|frame|44|pending
1323|cobalt|west|panel|89|held
1889|ionic|south|frame|43|pending
2034|cobalt|east|frame|39|paid
1992|dorian|south|frame|99|paid
1843|dorian|west|frame|94|held
2026|gale|north|panel|13|pending
1558|dorian|west|valve|98|pending
2012|ionic|east|rotor|79|pending
1594|dorian|south|frame|37|pending
1392|ember|east|valve|87|held
1230|cobalt|east|panel|22|shipped
1672|fulton|west|frame|50|paid
1654|ionic|east|cable|33|shipped
1593|fulton|north|frame|42|pending
1617|ember|south|rotor|48|shipped
1277|cobalt|east|gasket|42|paid
1694|harbor|west|pump|37|held
1700|juno|west|sensor|35|held
1779|gale|west|rotor|85|shipped
1519|harbor|east|gasket|54|shipped
1886|dorian|west|gasket|55|shipped
1680|fulton|south|pump|21|held
1624|ionic|north|valve|69|paid
1167|fulton|north|sensor|76|shipped
1017|birch|east|panel|85|shipped
1476|acme|west|pump|55|shipped
1585|gale|east|rotor|82|pending
1160|gale|north|rotor|54|shipped
1297|juno|south|valve|90|shipped
2027|fulton|west|rotor|24|held
1943|acme|north|sensor|55|shipped
1428|fulton|west|panel|74|shipped
1491|gale|east|pump|30|held
1857|harbor|north|panel|11|paid
1343|birch|south|sensor|86|shipped
1631|dorian|south|panel|60|paid
1880|ember|east|sensor|33|shipped
1100|fulton|west|gasket|18|paid
2005|gale|north|pump|49|paid
1470|gale|north|pump|78|shipped
1444|ember|north|panel|84|pending
1663|ionic|north|cable|83|pending
1182|ember|north|panel|88|shipped
1321|birch|south|cable|58|paid
1095|dorian|west|rotor|39|paid
1986|acme|west|pump|51|shipped
1268|gale|north|sensor|53|shipped
1462|ember|east|panel|24|shipped
1084|ionic|east|gasket|46|held
1015|birch|south|cable|72|pending
1150|fulton|north|sensor|88|shipped
1614|ionic|north|pump|24|shipped
1580|fulton|east|sensor|40|held
1523|ionic|south|rotor|16|pending
1839|harbor|west|rotor|40|pending
1851|gale|south|frame|74|held
1853|ember|north|pump|78|pending
1961|harbor|west|frame|28|shipped
1691|dorian|west|valve|88|pending
1424|fulton|east|pump|78|shipped
1247|birch|south|rotor|82|paid
1272|juno|north|cable|69|shipped
1034|birch|east|panel|11|pending
1280|ionic|south|sensor|77|pending
1899|juno|east|panel|65|paid
1193|juno|north|gasket|11|shipped
1978|dorian|south|panel|90|pending
1637|acme|north|frame|37|paid
1872|dorian|east|sensor|28|paid
1924|harbor|north|gasket|73|paid
1479|ember|north|panel|49|shipped
1930|ionic|north|rotor|10|shipped
1420|ember|south|panel|97|pending
1543|cobalt|east|pump|11|pending
2006|birch|west|gasket|75|held
1345|gale|north|panel|68|held
1138|harbor|east|sensor|40|pending
1171|ionic|south|frame|75|paid
1115|harbor|north|valve|14|paid
1805|ionic|west|sensor|40|pending
1568|harbor|east|valve|57|paid
1262|dorian|west|panel|37|held
1385|birch|east|rotor|45|pending
1170|juno|north|pump|58|shipped
1047|birch|east|frame|32|pending
1643|juno|north|valve|20|shipped
1755|dorian|north|pump|13|shipped
1762|gale|east|frame|51|pending
1792|fulton|east|frame|52|pending
1438|fulton|south|sensor|52|held
1061|birch|south|rotor|85|pending
1513|birch|south|pump|41|shipped
1500|cobalt|north|panel|97|shipped
1123|birch|north|valve|10|held
1565|ionic|east|cable|32|paid
1507|fulton|north|cable|38|pending
1525|dorian|south|sensor|51|paid
1894|fulton|west|frame|92|shipped
1555|ionic|west|panel|46|paid
1515|ember|south|panel|14|pending
1668|harbor|north|valve|88|shipped
1712|juno|west|valve|11|shipped
1734|juno|north|pump|87|pending
1395|juno|west|sensor|54|shipped
1314|acme|south|valve|51|pending
1728|ionic|east|gasket|77|pending
1775|juno|east|frame|67|shipped
1237|gale|north|frame|20|held
1421|ember|west|sensor|24|held
1820|birch|east|pump|46|paid
1364|ember|south|panel|52|pending
1255|fulton|south|valve|91|held
1033|birch|east|rotor|21|held
1449|ember|south|rotor|15|paid
1105|gale|west|frame|91|held
1566|harbor|west|rotor|22|pending
1051|birch|east|cable|29|paid
1356|ionic|east|rotor|87|paid
1679|acme|west|pump|69|pending
1611|ember|north|panel|24|paid
1111|dorian|south|cable|50|shipped
1461|birch|west|valve|65|held
1024|birch|east|rotor|41|pending
1133|harbor|west|pump|89|held
1909|juno|south|rotor|96|shipped
1915|birch|north|gasket|10|shipped
1788|birch|south|valve|95|pending
1200|ionic|north|pump|49|held
1179|cobalt|west|frame|99|held
1070|juno|north|valve|59|shipped
1212|acme|east|gasket|47|shipped
1350|ionic|west|pump|30|paid
1249|fulton|south|frame|96|pending
1548|harbor|west|panel|47|held
1770|gale|south|valve|36|pending
1283|ionic|south|rotor|19|pending
1178|ember|south|cable|48|held
1144|birch|south|valve|84|shipped
1154|ember|east|panel|60|paid
1934|gale|east|panel|60|held
1311|birch|south|sensor|34|pending
1380|gale|west|valve|26|held
1331|fulton|west|cable|34|pending
1226|birch|west|frame|29|paid
1575|juno|east|gasket|90|paid
1300|dorian|east|panel|34|paid
1324|harbor|south|pump|38|pending
1602|harbor|south|sensor|58|paid
1469|dorian|south|sensor|61|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, 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": 1013}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 91}},
  {"tool": "cancel_order", "args": {"order_id": 1056}},
  {"tool": "cancel_order", "args": {"order_id": 1063}},
  {"tool": "cancel_order", "args": {"order_id": 1385}},
  {"tool": "cancel_order", "args": {"order_id": 1414}},
  {"tool": "cancel_order", "args": {"order_id": 1497}},
  {"tool": "cancel_order", "args": {"order_id": 1648}},
  {"tool": "cancel_order", "args": {"order_id": 1688}},
  {"tool": "cancel_order", "args": {"order_id": 1762}},
  {"tool": "cancel_order", "args": {"order_id": 1820}},
  {"tool": "cancel_order", "args": {"order_id": 1934}},
  {"tool": "cancel_order", "args": {"order_id": 2008}}
]

wrongagentic.tools.ledger-v1conf 100% · 237ms · $0.004 · 235 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: $151
- tango: $855
- lima: $128

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $565 from "lima" to "tango"
2. pay $296 from "kilo" to "lima"
3. pay $294 from "kilo" to "tango"
4. pay $216 from "tango" to "kilo"
5. pay $506 from "lima" to "kilo"

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

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

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

model answer:

[
    {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 437}},
    {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 565}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 296}},
    {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 294}},
    {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 216}},
    {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 378}},
    {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 506}}
]

correctagentic.tools.triage-v1conf 100% · 251ms · $0.003 · 189 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "refund double-charged" (category: payments, priority 2)
3. "dashboard shows stale numbers" (category: data, 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": "dashboard shows stale numbers", "priority": 5}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
    {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]

wrongagentic.tools.ledger-v1conf 100% · 245ms · $0.003 · 230 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: $800
- delta: $461
- oscar: $327

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $501 from "lima" to "delta"
2. pay $182 from "oscar" to "delta"
3. pay $121 from "delta" to "lima"
4. pay $228 from "oscar" to "lima"
5. pay $320 from "oscar" to "delta"

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

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

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

model answer:

[
    {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 501}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 182}},
    {"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 121}},
    {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 28}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 228}},
    {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 93}},
    {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 320}}
]

correctagentic.tools.deploy-v1conf 100% · 255ms · $0.002 · 103 tok

question

You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "health_check", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "notifier"}}
]

correctagentic.tools.triage-v1conf 100% · 281ms · $0.003 · 188 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 → haddad
- payments → rivera

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 2)
2. "cannot reset password" (category: auth, priority 3)
3. "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": "webhooks not delivered", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
  {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
  {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]

wrongagentic.tools.context-load-v1anchorconf 100% · 656ms · $0.011 · 159 tok

model answer:

[
  {"tool": "cancel_order", "args": {"order_id": 1394}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 75}},
  {"tool": "restock", "args": {"item": "gasket", "qty": 60}},
  {"tool": "cancel_order", "args": {"order_id": 1682}},
  {"tool": "cancel_order", "args": {"order_id": 1769}},
  {"tool": "cancel_order", "args": {"order_id": 1895}}
]

correctagentic.tools.deploy-v1anchorconf 100% · 349ms · $0.002 · 101 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% · 318ms · $0.004 · 265 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"}}
]

wrongagentic.tools.ledger-v1anchorconf 100% · 268ms · $0.004 · 232 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": 238}},
    {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
    {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]

code 18/30 correct

correctcode.trace.nested-v1conf 100% · 588ms · $0.015 · 1503 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 * 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: 278

wrongcode.trace.js-v1conf 100% · 235ms · $0.003 · 258 tok

question

What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6];
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: 84

wrongcode.trace.nested-v1conf 100% · 4.2s · $0.014 · 1391 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 == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

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

model answer: 294

correctcode.trace.python-v1conf 100% · 147ms · $0.005 · 443 tok

question

What does this Python program print?

```python
total = 0
v = 6
while total + v <= 30:
    if v % 7 != 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: 16

wrongcode.trace.nested-v1conf 100% · 427ms · $0.009 · 825 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 117

wrongcode.trace.js-v1conf 100% · 188ms · $0.003 · 238 tok

question

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

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 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: 210

correctcode.trace.python-v1conf 100% · 243ms · $0.006 · 584 tok

question

What does this Python program print?

```python
total = 0
v = 4
while total + v <= 52:
    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: 37

correctcode.trace.js-v1conf 100% · 213ms · $0.004 · 307 tok

question

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

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
const out = arr
  .map(n => n * 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: 580

correctcode.trace.python-v1conf 100% · 941ms · $0.005 · 458 tok

question

What does this Python program print?

```python
total = 0
v = 11
while total + v <= 114:
    if v % 7 != 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: 95

wrongcode.trace.nested-v1conf 100% · 155ms · $0.014 · 1334 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 * 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: 74

wrongcode.trace.js-v1conf 100% · 174ms · $0.004 · 342 tok

question

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

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 264

wrongcode.trace.nested-v1conf 100% · 235ms · $0.014 · 1371 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) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

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

model answer: 229

correctcode.trace.python-v1conf 100% · 217ms · $0.005 · 440 tok

question

What does this Python program print?

```python
total = 0
v = 11
while total + v <= 57:
    if v % 5 != 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: 57

correctcode.trace.js-v1conf 100% · 226ms · $0.004 · 330 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 * 2)
  .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: 84

wrongcode.trace.python-v1conf 100% · 213ms · $0.006 · 577 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 8
while total + v <= 102:
    if v % 4 != 0:
        total += v
    v += 9
print(total)
```

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

model answer: 105

correctcode.trace.nested-v1conf 100% · 201ms · $0.013 · 1233 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 * 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: 175

correctcode.trace.js-v1conf 100% · 217ms · $0.003 · 300 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 % 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: 168

wrongcode.trace.nested-v1conf 100% · 223ms · $0.017 · 1626 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) % 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: 408

correctcode.trace.python-v1conf 100% · 203ms · $0.003 · 304 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 7
while total + v <= 35:
    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: 22

correctcode.trace.js-v1conf 100% · 377ms · $0.003 · 232 tok

question

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

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 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: 54

wrongcode.trace.nested-v1conf 100% · 233ms · $0.014 · 1329 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 2 + j
print(total)
```

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

model answer: 222

correctcode.trace.python-v1conf 100% · 210ms · $0.007 · 655 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 94:
    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: 75

correctcode.trace.js-v1conf 100% · 188ms · $0.003 · 274 tok

question

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

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21];
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: 270

wrongcode.trace.python-v1conf 100% · 1.2s · $0.008 · 732 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 84:
    if v % 4 != 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: 64

wrongcode.trace.nested-v1conf 100% · 720ms · $0.013 · 1247 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: 117

correctcode.trace.js-v1conf 100% · 234ms · $0.003 · 241 tok

question

What does this JavaScript program log?

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

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

model answer: 108

correctcode.trace.python-v1anchorconf 100% · 894ms · $0.012 · 1130 tok

model answer: 0

correctcode.trace.nested-v1anchorconf 100% · 322ms · $0.014 · 1384 tok

model answer: 283

correctcode.trace.js-v1anchorconf 100% · 211ms · $0.003 · 216 tok

model answer: 63

correctcode.trace.python-v1anchorconf 100% · 375ms · $0.005 · 479 tok

model answer: 40

instruction following 14/30 correct

wrongif.format.acronym-v1conf 100% · 197ms · $0.001 · 95 tok

question

Take the second letter of each of these words, in order: orbit, falcon, basalt, zephyr, 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: RASEU

wrongif.constraints.stack-v1conf 100% · 197ms · $0.001 · 60 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "drift" and the last word must be "orbit".
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: drift through the prism of the sea, where light bends and colors play, a prism of life in endless orbit.

wrongif.constraints.stack-v1conf 100% · 219ms · $0.001 · 54 tok

question

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

Give the text itself as your answer.

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

model answer: zephyr whispers through basalt, frost clings to basalt, morning light a fragile ember.

correctif.format.repeat-v1conf 100% · 182ms · $0.001 · 31 tok

question

Write the word "quartz" in capitalized form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer.

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

model answer: QUARTZ/QUARTZ/QUARTZ/QUARTZ/QUARTZ

correctif.format.acronym-v1conf 100% · 207ms · $0.001 · 29 tok

question

Take the first letter of each of these words, in order: tundra, flint, drift, zephyr, cedar, 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: TFDZCF

correctif.format.repeat-v1conf 100% · 250ms · $0.001 · 36 tok

question

Write the word "orbit" 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: ORBIT-ORBIT-ORBIT-ORBIT

wrongif.constraints.stack-v1conf 100% · 285ms · $0.001 · 80 tok

question

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

Give the text itself as your answer.

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

model answer:

zephyr whispers through the old machine, its ember glow flickering, a relic of time, ember sparks dance, lumen fades, ember lingers.

wrongif.constraints.stack-v1conf 100% · 216ms · $0.001 · 64 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "delta" and the last word must be "tundra".
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: delta zephyr whispers through the old machine, rusted gears hum softly, zephyr carries tales of tundra.

wrongif.format.acronym-v1conf 100% · 233ms · $0.001 · 56 tok

question

Take the third letter of each of these words, in order: falcon, prism, orbit, 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: CSID

correctif.format.repeat-v1conf 100% · 136ms · $0.001 · 52 tok

question

Write the word "tundra" in capitalized form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer.

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

model answer: TUNDRA_TUNDRA_TUNDRA_TUNDRA_TUNDRA

wrongif.format.acronym-v1conf 100% · 217ms · $0.001 · 94 tok

question

Take the third letter of each of these words, in order: quartz, nova, drift, 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: RVIA

correctif.format.repeat-v1conf 100% · 204ms · $0.001 · 60 tok

question

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

wrongif.format.acronym-v1conf 100% · 340ms · $0.001 · 103 tok

question

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

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

model answer: NCFT

correctif.constraints.stack-v1conf 100% · 216ms · $0.001 · 62 tok

question

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

Give the text itself as your answer.

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

model answer: zephyr whispers through quartz valleys, quartz rivers gleam, quartz peaks rise, stars guide the endless orbit.

correctif.format.repeat-v1conf 100% · 203ms · $0.000 · 19 tok

question

Write the word "drift" 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: drift/drift/drift/drift

correctif.format.acronym-v1conf 100% · 211ms · $0.001 · 94 tok

question

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

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

model answer: ERMRU

wrongif.constraints.stack-v1conf 100% · 209ms · $0.001 · 44 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "echo" and the last word must be "ember".
3. Use the word "lumen" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: echo lumen glows through the city's veins, a lumen ember

wrongif.constraints.stack-v1conf 100% · 435ms · $0.001 · 60 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "echo" and the last word must be "lumen".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: echo quartz lights hum through streets, quartz glows softly, shadows dance, whispers rise, night's lumen

correctif.format.repeat-v1conf 100% · 203ms · $0.001 · 54 tok

question

Write the word "basalt" 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: BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT

wrongif.format.acronym-v1conf 100% · 205ms · $0.001 · 66 tok

question

Take the second letter of each of these words, in order: flint, echo, cedar, drift, 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: LCEOR

correctif.format.repeat-v1conf 100% · 447ms · $0.001 · 30 tok

question

Write the word "flint" 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: FLINT/FLINT/FLINT

wrongif.format.acronym-v1conf 100% · 227ms · $0.001 · 105 tok

question

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

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

model answer: NDPS

wrongif.constraints.stack-v1conf 100% · 249ms · $0.001 · 56 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "quartz" and the last word must be "flint".
3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: quartz drift whispers secrets, waves drift softly, moonlight gleams, ancient tales etched in flint.

correctif.format.repeat-v1conf 100% · 208ms · $0.001 · 66 tok

question

Write the word "basalt" in capitalized 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: BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT/BASALT

wrongif.format.acronym-v1conf 100% · 184ms · $0.001 · 60 tok

question

Take the second letter of each of these words, in order: lumen, basalt, falcon, 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: UAAC

wrongif.constraints.stack-v1conf 95% · 255ms · $0.001 · 49 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "quartz" and the last word must be "tundra".
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: quartz lights refract through prism streets, prism shadows dance, prism hues blend, silent tundra

wrongif.constraints.stack-v1anchorconf 100% · 210ms · $0.001 · 68 tok

model answer: drift through the city's lumen, where shadows dance and lights hum, each lumen a beacon, guiding dreams in silent orbit.

correctif.format.repeat-v1anchorconf 100% · 206ms · $0.001 · 35 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

correctif.format.acronym-v1anchorconf 100% · 1.2s · $0.000 · 19 tok

model answer: ZDFQ

correctif.format.repeat-v1anchorconf 100% · 201ms · $0.001 · 61 tok

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

knowledge 30/30 correct

correctknowledge.fr.factbank-v2conf 100% · 608ms · $0.000 · 15 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% · 193ms · $0.000 · 13 tok

question

Identify the Nigerian capital city.

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 295ms · $0.000 · 13 tok

question

Identify the chemical element with symbol Sn.

Answer with the name only — no explanation.

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

model answer: Tin

correctknowledge.fr.factbank-v2conf 100% · 185ms · $0.000 · 14 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% · 203ms · $0.000 · 14 tok

question

What is 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% · 212ms · $0.000 · 17 tok

question

What is the writer of the novel "Snow Country"?

Answer with the name only — no explanation.

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

model answer: Yasunari Kawabata

correctknowledge.fr.factbank-v2conf 100% · 178ms · $0.000 · 13 tok

question

Identify the Kazakh capital city.

Answer with the name only — no explanation.

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

model answer: Astana

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

question

Identify the chemical element with symbol Sb.

Answer with the name only — no explanation.

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

model answer: Antimony

correctknowledge.fr.factbank-v2conf 100% · 198ms · $0.000 · 14 tok

question

What is the chemical element with symbol W?

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 209ms · $0.000 · 14 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% · 179ms · $0.000 · 15 tok

question

Name 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% · 195ms · $0.000 · 13 tok

question

Name the Nigerian capital city.

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 236ms · $0.000 · 17 tok

question

Identify the author of "Snow Country".

Answer with the name only — no explanation.

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

model answer: Yasunari Kawabata

correctknowledge.fr.factbank-v2conf 100% · 188ms · $0.000 · 13 tok

question

What is the Brazilian capital city?

Answer with the name only — no explanation.

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

model answer: Brasília

correctknowledge.fr.factbank-v2conf 100% · 197ms · $0.000 · 16 tok

question

Identify the Burmese capital city.

Answer with the name only — no explanation.

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

model answer: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 215ms · $0.000 · 13 tok

question

Identify 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% · 276ms · $0.000 · 13 tok

question

Identify the Nigerian capital city.

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 288ms · $0.000 · 13 tok

question

Identify the Brazilian capital city.

Answer with the name only — no explanation.

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

model answer: Brasília

correctknowledge.fr.factbank-v2conf 100% · 195ms · $0.000 · 14 tok

question

Name the chemical element with symbol W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 226ms · $0.000 · 13 tok

question

Name 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% · 447ms · $0.000 · 13 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% · 238ms · $0.000 · 15 tok

question

What is the writer of the novel "One Hundred Years of Solitude"?

Answer with the name only — no explanation.

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

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 100% · 205ms · $0.000 · 13 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% · 200ms · $0.000 · 14 tok

question

Name the chemical element with symbol W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 301ms · $0.000 · 13 tok

question

Name the capital of Turkey.

Answer with the name only — no explanation.

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

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 299ms · $0.000 · 14 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-v2anchorconf 100% · 142ms · $0.000 · 14 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 302ms · $0.000 · 13 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 265ms · $0.000 · 13 tok

model answer: Lead

correctknowledge.fr.factbank-v2anchorconf 100% · 249ms · $0.000 · 14 tok

model answer: Antimony

math 28/30 correct

correctmath.chained.pipeline-v1conf 100% · 208ms · $0.003 · 260 tok

question

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

Step 1: P = 41 × 29.
Step 2: Q = P × 5 − 427.
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: 1106

correctmath.counterfactual.base-v1conf 100% · 420ms · $0.002 · 206 tok

question

Work strictly in base 8. Add the base-8 numbers 1221 and 2212. 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: 3433

correctmath.percent.chain-v2conf 100% · 214ms · $0.003 · 257 tok

question

An inventory starts at 94000 units. The company was founded 59 kilometers from the port. In the first month the inventory grows by 8%. Each pallet weighs about 75 grams more when wet. The next month it shrinks by 25%, and the month after it grows by 26%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 95936.4

correctmath.algebra.system-v2conf 100% · 431ms · $0.004 · 352 tok

question

Solve the system, then answer the derived question.

9x + 4y = -216
2x − 4y = 128

What is the value of 4x − 6y?

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

model answer: 184

correctmath.arith.chain-v2conf 100% · 203ms · $0.004 · 328 tok

question

Compute the value of the following expression.

(((60 × 45 − 825) × 3 + 9723) − 34 × 54) × 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: 94584

correctmath.chained.pipeline-v1conf 100% · 283ms · $0.003 · 221 tok

question

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

Step 1: P = 61 × 58.
Step 2: Q = P × 3 − 196.
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: 3474

correctmath.counterfactual.base-v1conf 100% · 196ms · $0.002 · 226 tok

question

Work strictly in base 8. Add the base-8 numbers 3432 and 4043. 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: 7475

correctmath.percent.chain-v2conf 100% · 204ms · $0.003 · 233 tok

question

An inventory starts at 2000 units. The delivery van has a 100-liter fuel tank. In the first month the inventory grows by 26%. The warehouse was painted 48 years ago. The next month it shrinks by 28%, and the month after it grows by 26%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 2286.14

correctmath.algebra.system-v2conf 100% · 240ms · $0.003 · 312 tok

question

Solve the system, then answer the derived question.

3x + 8y = -51
6x − 2y = 60

What is the value of 5x − 2y?

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

model answer: 53

correctmath.arith.chain-v2conf 100% · 1.4s · $0.004 · 338 tok

question

Evaluate the expression below and give the result.

(((32 × 48 − 316) × 9 + 1959) − 57 × 38) × 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: 64638

correctmath.chained.pipeline-v1conf 100% · 208ms · $0.003 · 223 tok

question

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

Step 1: P = 35 × 55.
Step 2: Q = P × 3 − 761.
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: 1006

correctmath.counterfactual.base-v1conf 100% · 346ms · $0.002 · 184 tok

question

Work strictly in base 13. Add the base-13 numbers 1182 and 1043. Give the result IN BASE 13 (digits beyond 9 are A, B, C).

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

model answer: 21C5

correctmath.percent.chain-v2conf 100% · 558ms · $0.003 · 227 tok

question

An inventory starts at 98000 units. The company was founded 52 kilometers from the port. In the first month the inventory grows by 10%. A rival firm shipped 84 unrelated parcels the same week. The next month it shrinks by 25%, and the month after it grows by 10%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 88935

wrongmath.counterfactual.base-v1conf 100% · 593ms · $0.011 · 1088 tok

question

Work strictly in base 9. Multiply the base-9 numbers 74 and 58. 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: 4465

correctmath.algebra.system-v2conf 100% · 223ms · $0.004 · 377 tok

question

Solve the system, then answer the derived question.

5x + 8y = 29
7x − 3y = -144

What is the value of 5x − 3y?

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

model answer: -114

correctmath.arith.chain-v2conf 100% · 216ms · $0.004 · 339 tok

question

Work out the exact value of this expression.

(((23 × 85 − 333) × 8 + 9359) − 99 × 69) × 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: 108528

correctmath.chained.pipeline-v1conf 100% · 211ms · $0.002 · 208 tok

question

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

Step 1: P = 23 × 21.
Step 2: Q = P × 9 − 132.
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: 603

correctmath.percent.chain-v2conf 100% · 336ms · $0.003 · 223 tok

question

An inventory starts at 26000 units. Each pallet weighs about 87 grams more when wet. In the first month the inventory grows by 26%. The delivery van has a 54-liter fuel tank. The next month it shrinks by 5%, and the month after it grows by 14%. How many units remain (exact value, round to 2 decimals only if needed)?

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

model answer: 35479.08

correctmath.arith.chain-v2conf 100% · 217ms · $0.004 · 330 tok

question

Evaluate the expression below and give the result.

(((48 × 91 − 943) × 8 + 7284) − 60 × 86) × 4

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

model answer: 118096

correctmath.algebra.system-v2conf 100% · 218ms · $0.004 · 399 tok

question

Solve the system, then answer the derived question.

8x + 4y = 48
8x − 8y = -312

What is the value of 3x − 2y?

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

model answer: -87

correctmath.counterfactual.base-v1conf 100% · 246ms · $0.004 · 351 tok

question

Work strictly in base 13. Multiply the base-13 numbers C and 1C. Give the result IN BASE 13 (digits beyond 9 are A, B, C).

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

model answer: 1A1

correctmath.chained.pipeline-v1conf 100% · 207ms · $0.003 · 226 tok

question

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

Step 1: P = 46 × 69.
Step 2: Q = P × 9 − 210.
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: 3548

correctmath.algebra.system-v2conf 100% · 1.9s · $0.004 · 399 tok

question

Solve the system, then answer the derived question.

7x + 5y = -191
9x − 8y = -159

What is the value of 3x − 3y?

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

model answer: -51

correctmath.percent.chain-v2conf 100% · 194ms · $0.003 · 219 tok

question

An inventory starts at 54000 units. A rival firm shipped 42 unrelated parcels the same week. In the first month the inventory grows by 21%. Each pallet weighs about 92 grams more when wet. The next month it shrinks by 30%, and the month after it grows by 39%. 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: 63575.82

correctmath.arith.chain-v2conf 100% · 202ms · $0.004 · 326 tok

question

Evaluate the expression below and give the result.

(((28 × 93 − 126) × 9 + 7002) − 13 × 21) × 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: 203217

correctmath.chained.pipeline-v1conf 100% · 190ms · $0.003 · 227 tok

question

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

Step 1: P = 40 × 72.
Step 2: Q = P × 6 − 259.
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: 2435

wrongmath.counterfactual.base-v1anchorconf 100% · 183ms · $0.003 · 316 tok

model answer: 11336

correctmath.percent.chain-v2anchorconf 100% · 237ms · $0.003 · 259 tok

model answer: 61896.52

correctmath.arith.chain-v2anchorconf 100% · 347ms · $0.003 · 283 tok

model answer: 108153

correctmath.algebra.system-v2anchorconf 100% · 277ms · $0.004 · 346 tok

model answer: 87

multilingual 28/30 correct

correctmultilingual.wordnum-v1conf 100% · 214ms · $0.001 · 98 tok

question

A number is written in French: « deux cent quatre-vingt-deux ». Another is written in Spanish: « seiscientos noventa y cuatro ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: -412

correctmultilingual.wordnum-v1conf 100% · 213ms · $0.001 · 92 tok

question

A number is written in French: « trois cent soixante et un ». Another is written in Spanish: « novecientos noventa 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: -631

correctmultilingual.numword-v2conf 100% · 208ms · $0.000 · 17 tok

question

Compute 182 + 274, 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 seis

correctmultilingual.wordnum-v1conf 100% · 603ms · $0.001 · 89 tok

question

A number is written in French: « cent vingt-cinq ». Another is written in Spanish: « setecientos 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: -600

correctmultilingual.numword-v2conf 100% · 188ms · $0.000 · 23 tok

question

Compute 416 + 358, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: sept cent soixante-quatorze

correctmultilingual.numword-v2conf 100% · 471ms · $0.001 · 46 tok

question

Compute 284 + 395, 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% · 289ms · $0.001 · 78 tok

question

A number is written in French: « sept cent cinquante et un ». Another is written in Spanish: « trescientos setenta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1122

correctmultilingual.numword-v2conf 100% · 336ms · $0.000 · 15 tok

question

Compute 128 + 322, 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

correctmultilingual.wordnum-v1conf 100% · 222ms · $0.001 · 70 tok

question

A number is written in French: « huit cent cinq ». Another is written in Spanish: « quinientos cincuenta 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: 1357

correctmultilingual.wordnum-v1conf 100% · 201ms · $0.001 · 80 tok

question

A number is written in French: « neuf cent quatre-vingt-dix ». Another is written in Spanish: « novecientos cuarenta 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: 1938

correctmultilingual.numword-v2conf 100% · 253ms · $0.000 · 17 tok

question

Compute 94 + 265, 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 cincuenta y nueve

correctmultilingual.numword-v2conf 100% · 249ms · $0.000 · 15 tok

question

Compute 149 + 457, 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 seis

correctmultilingual.wordnum-v1conf 100% · 250ms · $0.001 · 94 tok

question

A number is written in French: « cinq cent quatre-vingt-cinq ». Another is written in Spanish: « seiscientos sesenta 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: -81

correctmultilingual.numword-v2conf 100% · 216ms · $0.000 · 17 tok

question

Compute 400 + 68, 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 sesenta y ocho

correctmultilingual.wordnum-v1conf 100% · 299ms · $0.001 · 93 tok

question

A number is written in French: « cent soixante-huit ». Another is written in Spanish: « trescientos setenta 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: -208

correctmultilingual.numword-v2conf 100% · 453ms · $0.001 · 41 tok

question

Compute 252 + 429, 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 quatre-vingt-un

correctmultilingual.wordnum-v1conf 100% · 202ms · $0.001 · 91 tok

question

A number is written in French: « six cent vingt-six ». Another is written in Spanish: « trescientos 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: 253

correctmultilingual.wordnum-v1conf 100% · 186ms · $0.001 · 92 tok

question

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

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

model answer: 170

wrongmultilingual.numword-v2conf 100% · 243ms · $0.000 · 21 tok

question

Compute 286 + 217, 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

correctmultilingual.wordnum-v1conf 100% · 224ms · $0.001 · 88 tok

question

A number is written in French: « trois cent soixante-quatre ». Another is written in Spanish: « ochocientos 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: -444

correctmultilingual.numword-v2conf 100% · 299ms · $0.000 · 15 tok

question

Compute 133 + 227, 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 sesenta

correctmultilingual.wordnum-v1conf 100% · 177ms · $0.001 · 88 tok

question

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

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

model answer: 69

correctmultilingual.numword-v2conf 100% · 191ms · $0.000 · 20 tok

question

Compute 231 + 278, 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 nueve

correctmultilingual.wordnum-v1conf 100% · 203ms · $0.001 · 95 tok

question

A number is written in French: « neuf cent trente-six ». Another is written in Spanish: « seiscientos diecinueve ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1555

correctmultilingual.numword-v2conf 100% · 469ms · $0.000 · 16 tok

question

Compute 356 + 449, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

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

model answer: ochocientos cinco

correctmultilingual.numword-v2conf 100% · 216ms · $0.000 · 20 tok

question

Compute 426 + 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: six cent dix

correctmultilingual.wordnum-v1anchorconf 100% · 224ms · $0.001 · 92 tok

model answer: 150

wrongmultilingual.numword-v2anchorconf 100% · 233ms · $0.000 · 28 tok

model answer: quatre cent soixante-dix-neuf

correctmultilingual.wordnum-v1anchorconf 100% · 664ms · $0.001 · 52 tok

model answer: 762

correctmultilingual.numword-v2anchorconf 100% · 660ms · $0.000 · 20 tok

model answer: seiscientos ocho

reasoning 29/30 correct

correctreasoning.deduction.order-v2conf 100% · 200ms · $0.006 · 552 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is heavier than Sami. Nadir is heavier than Ola. Sami is heavier than Priya. Sami is heavier than Emil. Rosa is older than everyone here, but Rosa is not being ranked. Priya is heavier than Alice. Ola is heavier than Priya. Chen is heavier than Priya. Emil is heavier than Nadir. Ola is heavier than Alice. 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: Priya

correctreasoning.deduction.position-v1conf 100% · 446ms · $0.001 · 59 tok

question

Four people stand in a queue (number 1 is the front). Mona is number 1 in the queue. Hana is directly ahead of Quinn. Kira is directly ahead of Hana. 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: Quinn

correctreasoning.deduction.order-v2conf 100% · 158ms · $0.003 · 251 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Jonas. Quinn is older than Emil. Bruno is older than Chen. Nadir is faster than everyone here, but Nadir is not being ranked. Chen is older than Ola. Ola is older than Jonas. Alice is older than Quinn. Alice is older than Jonas. Ola is older than Alice. Quinn is older than Jonas. Who is second (rank 2)?

Answer with the name only.

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

model answer: Chen

correctreasoning.deduction.position-v1conf 100% · 1.2s · $0.001 · 103 tok

question

Four people stand in a queue (number 1 is the front). Goran is number 3 in the queue. Emil is directly ahead of Kira. Kira is directly ahead of Goran. 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

wrongreasoning.deduction.order-v2conf 100% · 211ms · $0.002 · 132 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Jonas. Jonas is older than Chen. Nadir is older than Liam. Quinn is older than Nadir. Bruno is older than Jonas. Bruno is older than Jonas. Alice is older than Jonas. Bruno is older than Alice. Emil is taller than everyone here, but Emil is not being ranked. Liam is older than Bruno. 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: Alice

correctreasoning.deduction.position-v1conf 100% · 200ms · $0.001 · 73 tok

question

Four people stand in a queue (number 1 is the front). Goran is number 4 in the queue. Bruno is directly ahead of Ola. Ola is directly ahead of Chen. Chen is directly ahead of Goran. Who is number 1?

Answer with the name only.

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

model answer: Bruno

correctreasoning.deduction.position-v1conf 100% · 205ms · $0.001 · 65 tok

question

Four people stand in a queue (number 1 is the front). Chen is directly ahead of Hana. Sami is number 1 in the queue. Hana is directly ahead of Nadir. Who is number 2?

Answer with the name only.

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

model answer: Chen

correctreasoning.deduction.order-v2conf 100% · 192ms · $0.003 · 268 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Hana is older than everyone here, but Hana is not being ranked. Kira is faster than Bruno. Kira is faster than Ines. Ola is faster than Bruno. Ines is faster than Alice. Ines is faster than Ola. Mona is faster than Kira. Tessa is faster than Mona. Ola is faster than Alice. Alice is faster than Bruno. 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: Ola

correctreasoning.deduction.order-v2conf 100% · 204ms · $0.001 · 60 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Goran is faster than Alice. Liam is faster than Rosa. Rosa is faster than Tessa. Goran is faster than Tessa. Goran is faster than Liam. Tessa is faster than Alice. Ines is older than everyone here, but Ines is not being ranked. Priya is faster than Goran. Emil is faster than Alice. Tessa is faster 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: Liam

correctreasoning.deduction.position-v1conf 100% · 188ms · $0.001 · 71 tok

question

Four people stand in a queue (number 1 is the front). Emil is number 2 in the queue. Farah is directly ahead of Emil. Liam is directly ahead of Kira. Who is number 4?

Answer with the name only.

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

model answer: Kira

correctreasoning.deduction.order-v2conf 100% · 276ms · $0.003 · 296 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Farah is faster than everyone here, but Farah is not being ranked. Ola is older than Emil. Kira is older than Goran. Hana is older than Rosa. Rosa is older than Chen. Goran is older than Ola. Hana is older than Chen. Chen is older than Kira. Chen is older than Goran. Chen is older than Ola. 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: Rosa

correctreasoning.deduction.position-v1conf 100% · 192ms · $0.001 · 90 tok

question

Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Liam. Dara is directly ahead of Priya. Liam is number 2 in the queue. Who is number 3?

Answer with the name only.

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

model answer: Dara

correctreasoning.deduction.order-v2conf 100% · 219ms · $0.003 · 240 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Nadir is older than Liam. Ines is older than Nadir. Alice is older than Nadir. Dara is older than Emil. Alice is older than Ola. Ola is older than Ines. Mona is heavier than everyone here, but Mona is not being ranked. Ola is older than Dara. Ola is older than Emil. Liam is older than Dara. Who is second (rank 2)?

Answer with the name only.

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

model answer: Ola

correctreasoning.deduction.position-v1conf 100% · 202ms · $0.001 · 68 tok

question

Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Hana. Sami is number 1 in the queue. Jonas is directly ahead of Bruno. Who is number 2?

Answer with the name only.

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

model answer: Jonas

correctreasoning.deduction.order-v2conf 100% · 257ms · $0.003 · 293 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Emil. Liam is faster than Tessa. Emil is faster than Mona. Priya is faster than Ines. Tessa is faster than Mona. Ines is faster than Liam. Chen is heavier than everyone here, but Chen is not being ranked. Mona is faster than Goran. Ines is faster than Tessa. Tessa is faster than Goran. 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: Emil

correctreasoning.deduction.position-v1conf 100% · 230ms · $0.001 · 74 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Dara. Tessa is number 1 in the queue. Dara is directly ahead of Ines. 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: Dara

correctreasoning.deduction.order-v2conf 100% · 200ms · $0.004 · 378 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is faster than everyone here, but Emil is not being ranked. Chen is heavier than Liam. Ines is heavier than Kira. Ines is heavier than Rosa. Jonas is heavier than Rosa. Hana is heavier than Jonas. Chen is heavier than Ines. Liam is heavier than Ines. Chen is heavier than Hana. Kira is heavier than Hana. 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: Ines

correctreasoning.deduction.order-v2conf 100% · 207ms · $0.003 · 311 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Mona. Emil is older than Bruno. Ines is older than Dara. Bruno is older than Mona. Chen is older than Ines. Dara is older than Mona. Tessa is taller than everyone here, but Tessa is not being ranked. Liam is older than Mona. Bruno is older than Liam. Dara is older than Emil. 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: Bruno

correctreasoning.deduction.position-v1conf 100% · 233ms · $0.000 · 17 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Mona. Ola is directly ahead of Hana. Liam is number 1 in the queue. Who is number 1?

Answer with the name only.

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

model answer: Liam

correctreasoning.deduction.position-v1conf 100% · 217ms · $0.001 · 50 tok

question

Four people stand in a queue (number 1 is the front). Ola is number 2 in the queue. Dara is directly ahead of Ola. Kira is directly ahead of Priya. Who is number 1?

Answer with the name only.

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

model answer: Dara

correctreasoning.deduction.order-v2conf 100% · 246ms · $0.003 · 262 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Sami. Farah is faster than Sami. Farah is faster than Priya. Priya is faster than Kira. Kira is faster than Sami. Jonas is faster than Farah. Hana is heavier than everyone here, but Hana is not being ranked. Kira is faster than Tessa. Jonas is faster than Kira. Sami is faster than Nadir. 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: Kira

correctreasoning.deduction.position-v1conf 100% · 149ms · $0.001 · 36 tok

question

Four people stand in a queue (number 1 is the front). Chen is number 2 in the queue. Rosa is directly ahead of Alice. Priya 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: Priya

correctreasoning.deduction.order-v2conf 100% · 288ms · $0.002 · 208 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Ola is faster than everyone here, but Ola is not being ranked. Farah is taller than Nadir. Liam is taller than Emil. Nadir is taller than Sami. Jonas is taller than Emil. Liam is taller than Emil. Priya is taller than Farah. Priya is taller than Liam. Liam is taller than Jonas. Sami is taller than Liam. Who is fifth (rank 5)?

Answer with the name only.

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

model answer: Liam

correctreasoning.deduction.position-v1conf 100% · 173ms · $0.002 · 157 tok

question

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

correctreasoning.deduction.order-v2conf 100% · 236ms · $0.004 · 336 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Ola is taller than Liam. Jonas is heavier than everyone here, but Jonas is not being ranked. Nadir is taller than Bruno. Nadir is taller than Kira. Bruno is taller than Hana. Liam is taller than Bruno. Ola is taller than Hana. Nadir is taller than Hana. Kira is taller than Tessa. Tessa is taller than Ola. 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: Kira

correctreasoning.deduction.order-v2anchorconf 100% · 152ms · $0.002 · 192 tok

model answer: Quinn

correctreasoning.deduction.position-v1conf 100% · 482ms · $0.001 · 59 tok

question

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

Answer with the name only.

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

model answer: Liam

correctreasoning.deduction.position-v1anchorconf 100% · 211ms · $0.001 · 60 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 100% · 217ms · $0.004 · 324 tok

model answer: Mona

correctreasoning.deduction.position-v1anchorconf 100% · 253ms · $0.001 · 38 tok

model answer: Farah

terminal 15/30 correct

wrongterminal.exit.chain-v1conf 100% · 236ms · $0.001 · 22 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 coral notes.txt && echo A || echo B
grep -q coral notes.txt && echo C || echo D
test -f app.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
E
exit:0

wrongterminal.fs.tree-v1conf 100% · 236ms · $0.002 · 80 tok

question

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

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

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

```sh
cp build/report.log ./
cp logs/main.md build/
cd docs
mv ../../proj/draft.txt ./
mv draft.txt ./
cd ../../proj
cp docs/draft.txt ./
cd .
touch notes-4.cfg
mv notes.cfg logs/
```

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.md
/proj/build/report.log
/proj/draft.txt
/proj/docs/draft.txt
/proj/docs/setup.cfg
/proj/logs/notes.cfg
/proj/notes-4.cfg
/proj/report.log

wrongterminal.pipeline.predict-v1conf 100% · 493ms · $0.001 · 43 tok

question

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

```
ivy,legal,56,81
oli,legal,104,59
kim,hr,108,76
gus,legal,15,27
eli,legal,29,91
ana,hr,100,95
pam,hr,84,26
jon,legal,11,45
dev,eng,27,97
hal,eng,61,54
lou,hr,75,71
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' 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,legal,29,91
oli,legal,104,59
ivy,legal,56,81

wrongterminal.exit.chain-v1conf 100% · 258ms · $0.001 · 24 tok

question

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

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

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

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

model answer:

A
D
E
H
exit:0

correctterminal.fs.tree-v1conf 100% · 224ms · $0.001 · 55 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/index.cfg
/proj/conf/notes.md
/proj/draft.txt
/proj/main.cfg
/proj/src/util.md
```

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

```sh
mkdir -p build/docs-8
mv main.cfg build/
rm build/main.cfg
cd conf
touch ../../proj/todo-5.cfg
mv notes.md ./
```

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

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

model answer:

/proj/conf/index.cfg
/proj/conf/notes.md
/proj/draft.txt
/proj/src/util.md
/proj/todo-5.cfg

correctterminal.pipeline.predict-v1conf 100% · 329ms · $0.001 · 16 tok

question

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

```
lou,legal,58,76
ana,legal,85,22
fay,legal,117,67
eli,hr,117,40
dev,legal,67,41
pam,eng,100,10
gus,eng,111,76
ned,legal,85,15
bo,legal,116,65
ivy,legal,23,87
```

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: 211

wrongterminal.exit.chain-v1conf 100% · 237ms · $0.001 · 22 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
D
F
exit:0

correctterminal.fs.tree-v1conf 100% · 222ms · $0.001 · 55 tok

question

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

```
/proj/build/index.cfg
/proj/build/notes.md
/proj/build/setup.md
/proj/todo.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
touch draft-8.md
cd .
mv build/notes.md ./
cd .
touch docs/main-5.txt
cd src
touch ../../proj/util-7.txt
mkdir -p ../../proj/docs-4
cd ../../proj/docs-4
rm ../../proj/draft-8.md
cd ../../proj/docs
rm ../../proj/notes.md
rm ../../proj/util-7.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/build/index.cfg
/proj/build/setup.md
/proj/docs/main-5.txt
/proj/todo.txt
/proj/util.log

correctterminal.pipeline.predict-v1conf 100% · 1.4s · $0.001 · 23 tok

question

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

```
jon,hr,31,44
ivy,eng,54,52
fay,hr,54,33
eli,legal,110,27
ana,sales,120,94
cy,eng,63,52
hal,legal,112,54
kim,eng,88,30
dev,hr,85,95
lou,sales,21,89
```

What is the EXACT stdout of this command?

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

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

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

model answer:

ana,120
lou,21

wrongterminal.fs.tree-v1conf 100% · 452ms · $0.002 · 109 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/logs`):

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

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

```sh
mkdir -p logs/src-7
mkdir -p docs/src-6
touch logs/src-7/draft-2.cfg
cp docs/notes.txt assets/
cd logs/src-7
mkdir -p src-1
touch util-6.txt
```

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

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

model answer:

/proj/assets/draft.md
/proj/assets/main.txt
/proj/assets/notes.txt
/proj/docs/notes.txt
/proj/docs/src-6/notes.txt
/proj/logs/src-7/draft-2.cfg
/proj/logs/src-7/src-1/util-6.txt
/proj/todo.txt
/proj/util.txt

correctterminal.exit.chain-v1conf 100% · 224ms · $0.001 · 24 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
D
F
Z
exit:0

correctterminal.pipeline.predict-v1conf 100% · 524ms · $0.001 · 14 tok

question

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

```
cy,eng,13,79
pam,ops,57,29
max,hr,119,56
fay,sales,98,91
lou,ops,93,79
dev,legal,71,37
ana,ops,106,56
ivy,eng,118,99
eli,sales,66,84
jon,legal,99,24
kim,ops,113,42
ned,eng,116,88
oli,eng,57,86
gus,legal,52,49
```

What is the EXACT stdout of this command?

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

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

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

model answer: 4

wrongterminal.fs.tree-v1conf 95% · 258ms · $0.001 · 63 tok

question

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

```
/proj/assets/draft.log
/proj/build/index.log
/proj/build/todo.cfg
/proj/main.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 assets/draft.log
mkdir -p assets/logs-4
touch assets/main-2.txt
mkdir -p docs-7
cp main.txt docs/
cd docs-7
mv ../../proj/main.txt ../../proj/draft-5.log
cd ../../proj/assets
cp ../../proj/build/index.log ../../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/assets/main-2.txt
/proj/build/todo.cfg
/proj/docs/main.txt
/proj/draft-5.log
/proj/index.log
/proj/util.txt

wrongterminal.exit.chain-v1conf 100% · 230ms · $0.001 · 24 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
C
F
H
exit:0

wrongterminal.pipeline.predict-v1conf 100% · 228ms · $0.001 · 14 tok

question

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

```
bo,eng,64,75
cy,hr,39,93
kim,legal,118,20
gus,legal,54,15
dev,ops,79,36
hal,eng,25,86
oli,ops,115,98
jon,eng,35,97
max,eng,88,61
lou,ops,87,92
ned,ops,20,22
pam,legal,42,77
fay,hr,81,87
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 75 { n += 1 } END { print n }'
```

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

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

model answer: 3

correctterminal.exit.chain-v1conf 100% · 359ms · $0.001 · 26 tok

question

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

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

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

These statements run in order:

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

correctterminal.fs.tree-v1conf 100% · 260ms · $0.001 · 55 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.cfg
/proj/conf/notes.md
/proj/conf/util.md
/proj/index.log
/proj/report.cfg
```

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

```sh
rm conf/util.md
mv assets/todo.cfg assets/main-5.cfg
touch setup-7.txt
cp conf/notes.md ./
rm notes.md
mkdir -p docs-5
```

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

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

model answer:

/proj/assets/main-5.cfg
/proj/conf/notes.md
/proj/index.log
/proj/report.cfg
/proj/setup-7.txt

correctterminal.pipeline.predict-v1conf 100% · 260ms · $0.001 · 14 tok

question

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

```
ivy,hr,27,60
ned,eng,10,39
fay,sales,58,64
lou,hr,85,45
jon,legal,56,96
gus,sales,79,97
bo,sales,53,55
eli,ops,115,42
cy,legal,110,40
max,ops,35,47
hal,legal,56,83
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 74 { n += 1 } END { print n }'
```

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

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

model answer: 0

correctterminal.exit.chain-v1conf 100% · 216ms · $0.001 · 24 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
D
E
Z
exit:0

correctterminal.fs.tree-v1conf 100% · 215ms · $0.001 · 48 tok

question

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

```
/proj/build/report.log
/proj/build/todo.log
/proj/docs/notes.txt
/proj/main.txt
/proj/setup.log
```

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

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

correctterminal.pipeline.predict-v1conf 100% · 252ms · $0.001 · 15 tok

question

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

```
pam,eng,3,20
ana,hr,72,99
fay,ops,85,45
oli,eng,38,81
kim,legal,41,86
bo,hr,35,49
hal,legal,13,64
ned,hr,49,94
eli,ops,87,82
```

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: 41

wrongterminal.fs.tree-v1conf 95% · 229ms · $0.001 · 74 tok

question

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

```
/proj/assets/main.log
/proj/docs/todo.cfg
/proj/logs/draft.md
/proj/notes.md
/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
cp util.txt assets/
cp docs/todo.cfg ./
mv logs/draft.md logs/notes-4.log
mkdir -p src-2
rm util.txt
cd 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/main.log
/proj/assets/util.txt
/proj/docs/todo.cfg
/proj/logs/notes-4.log
/proj/notes.md
/proj/src-2/util.txt
/proj/todo.cfg

wrongterminal.exit.chain-v1conf 100% · 253ms · $0.001 · 24 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
C
E
H
exit:0

correctterminal.pipeline.predict-v1conf 100% · 230ms · $0.001 · 14 tok

question

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

```
lou,hr,76,92
cy,hr,39,16
gus,sales,10,38
max,legal,18,46
kim,eng,59,16
oli,eng,32,83
hal,hr,53,80
bo,hr,99,21
ned,hr,105,31
ana,hr,32,79
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 64 { n += 1 } END { print n }'
```

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

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

model answer: 0

correctterminal.exit.chain-v1conf 100% · 232ms · $0.001 · 26 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
D
E
H
Z
exit:0

wrongterminal.fs.tree-v1conf 95% · 381ms · $0.001 · 40 tok

question

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

```
/proj/build/report.md
/proj/docs/index.md
/proj/logs/draft.cfg
/proj/setup.txt
/proj/todo.txt
```

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

```sh
mv logs/draft.cfg build/
mv docs/index.md ./
mkdir -p docs/logs-1
cd .
mkdir -p logs/build-7
rm index.md
mv build/report.md ./
cd logs/build-7
rm ../../../proj/todo.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/build/draft.cfg
/proj/logs/build-7/report.md
/proj/setup.txt

wrongterminal.pipeline.predict-v1anchorconf 100% · 211ms · $0.001 · 43 tok

model answer:

cy,eng,115,45
dev,eng,81,95
max,eng,43,64

correctterminal.fs.tree-v1anchorconf 100% · 508ms · $0.001 · 77 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

wrongterminal.exit.chain-v1anchorconf 100% · 224ms · $0.001 · 24 tok

model answer:

B
D
E
G
exit:0

wrongterminal.pipeline.predict-v1anchorconf 100% · 508ms · $0.001 · 14 tok

model answer: 2

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