ByteDance Seed: Seed-2.0-Mini

bytedance-seed/seed-2.0-mini · bytedance-seed · context 262 144 · in $0.100/1M · out $0.400/1M

Global Index

758

95% CI [711–805] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
agentic	833 [728–937]	0.769	0.85	0.93	0.000	515ms	$1.37
code	810 [682–939]	0.742	0.98	0.97	0.038	480ms	$1.04
instruction following	659 [523–794]	0.634	0.83	0.90	0.115	431ms	$0.717
knowledge	629 [472–786]	0.501	0.95	0.93	0.077	442ms	$0.252
math	837 [680–993]	0.728	1.00	1.00	0.000	461ms	$0.648
multilingual	642 [491–793]	0.573	0.97	0.90	0.115	438ms	$0.265
reasoning	787 [635–939]	0.698	1.00	0.97	0.038	495ms	$0.674
terminal	904 [811–997]	0.840	1.00	1.00	0.000	448ms	$1.10
vision ocr	720 [551–890]	0.534	1.00	1.00	0.000	1.3s	$0.180

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 28/30 correct

correctagentic.tools.ledger-v1conf 100% · 772ms · $0.001 · 2131 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $311
- bravo: $536
- oscar: $427

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $458 from "echo" to "oscar"
2. pay $506 from "bravo" to "echo"
3. pay $297 from "echo" to "bravo"
4. pay $403 from "oscar" to "bravo"
5. pay $199 from "echo" to "bravo"

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

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

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

model answer:

[{"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 147}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 458}}, {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 506}}, {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 297}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 403}}, {"tool": "transfer", "args": {"from": "echo", "to": "bravo", "amount": 199}}]

correctagentic.tools.triage-v1conf 100% · 426ms · $0.001 · 1926 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → tanaka
- infra → rivera
- payments → okafor

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 9)
2. "locked out after 2FA change" (category: auth, priority 9)
3. "invoice total wrong" (category: payments, priority 6)
4. "cannot reset password" (category: auth, priority 3)

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

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

model answer:

[
    {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
    {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
    {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 6}},
    {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
    {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}},
    {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "tanaka"}}
]

correctagentic.tools.context-load-v1conf 100% · 590ms · $0.001 · 2424 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 (269 records, format: id|customer|region|item|qty|status):
```
1723|dorian|west|cable|14|shipped
2171|dorian|south|valve|32|paid
2054|harbor|east|pump|39|held
1586|acme|north|pump|18|shipped
1605|juno|south|gasket|83|paid
2203|ionic|west|sensor|11|shipped
2182|fulton|east|valve|34|pending
1481|juno|north|frame|27|held
1832|dorian|south|valve|99|held
1183|fulton|south|panel|55|shipped
1346|ionic|east|pump|66|paid
1756|harbor|east|panel|65|paid
1478|acme|south|valve|54|paid
2121|fulton|west|cable|88|pending
1900|dorian|north|pump|75|pending
1860|harbor|south|rotor|14|held
1974|ionic|north|sensor|18|shipped
1200|dorian|north|frame|24|paid
1725|fulton|south|pump|29|shipped
1829|fulton|north|valve|87|pending
1520|acme|east|pump|98|shipped
1255|ember|east|frame|71|shipped
1485|birch|west|frame|30|paid
1849|birch|east|rotor|40|shipped
1574|fulton|south|valve|79|paid
1826|harbor|east|rotor|83|held
1282|ionic|east|cable|70|shipped
2028|fulton|west|valve|54|held
1871|dorian|west|rotor|15|pending
1877|gale|east|panel|21|paid
1229|acme|south|cable|95|pending
1800|gale|north|gasket|80|shipped
1891|gale|south|pump|85|paid
1348|harbor|west|panel|62|shipped
1388|fulton|west|rotor|41|paid
1463|ionic|west|panel|29|held
1329|dorian|west|valve|93|held
2162|ember|north|pump|82|pending
1384|dorian|east|cable|28|paid
1451|ionic|east|rotor|62|paid
1252|harbor|west|valve|44|shipped
2174|cobalt|south|valve|48|pending
1990|ember|north|valve|29|shipped
1264|fulton|east|cable|48|pending
2047|ionic|east|rotor|20|paid
2016|ember|east|rotor|78|pending
2099|dorian|east|rotor|70|held
1226|gale|north|cable|44|held
1286|birch|north|pump|60|pending
1359|harbor|west|cable|12|pending
1435|ember|west|panel|37|held
1162|gale|east|frame|90|pending
1307|ember|east|frame|41|paid
1213|juno|north|valve|30|shipped
1556|gale|north|gasket|99|pending
1742|harbor|north|pump|76|pending
1325|dorian|east|cable|85|held
1408|cobalt|west|panel|96|pending
1457|gale|east|cable|69|pending
1645|gale|north|sensor|89|held
1350|birch|north|frame|64|shipped
1863|acme|west|sensor|67|pending
1693|cobalt|south|sensor|43|paid
1789|dorian|south|panel|30|paid
1608|cobalt|north|panel|33|pending
1961|dorian|south|cable|69|pending
2210|fulton|north|pump|34|paid
1507|dorian|north|valve|95|pending
1373|ember|south|pump|11|pending
1288|harbor|north|frame|29|held
2001|ember|east|sensor|49|paid
1305|acme|south|valve|45|paid
1793|birch|north|gasket|25|pending
2078|ionic|east|valve|86|shipped
1783|birch|north|panel|62|shipped
1262|dorian|north|frame|70|pending
2011|fulton|south|valve|69|held
1714|ember|south|sensor|87|shipped
1189|juno|west|valve|19|held
2165|ionic|west|frame|34|pending
1720|acme|west|panel|79|held
2224|fulton|east|pump|95|paid
2134|juno|south|pump|74|shipped
1530|birch|east|cable|44|held
1366|ember|north|sensor|80|pending
2109|dorian|north|valve|91|pending
1149|gale|west|valve|16|paid
1806|acme|west|valve|71|paid
1635|acme|north|valve|49|paid
1202|ionic|north|panel|89|shipped
2074|cobalt|north|pump|18|held
1174|gale|east|pump|29|pending
1469|dorian|south|sensor|69|held
1834|acme|north|gasket|31|paid
1698|ionic|east|pump|39|paid
1234|acme|east|cable|12|held
1147|gale|north|gasket|92|pending
1758|ember|west|gasket|76|held
2106|fulton|west|cable|62|held
1893|juno|north|panel|12|shipped
1846|gale|south|sensor|59|shipped
2205|ionic|north|rotor|85|held
1392|ionic|west|panel|78|held
1178|gale|west|pump|52|held
1614|birch|east|frame|22|paid
1594|dorian|north|panel|83|held
1812|acme|north|frame|86|paid
2046|harbor|south|valve|94|pending
1968|juno|west|gasket|86|pending
2119|fulton|south|valve|13|pending
1360|acme|east|rotor|45|held
1257|birch|south|sensor|46|shipped
1583|ionic|east|gasket|28|held
1270|ember|south|valve|39|shipped
1563|birch|west|frame|72|held
1315|gale|east|rotor|57|pending
1914|gale|west|gasket|45|paid
1939|acme|north|valve|80|held
1308|harbor|north|gasket|41|pending
1665|juno|east|sensor|48|pending
1504|gale|south|rotor|88|pending
1839|cobalt|south|frame|40|shipped
1737|juno|north|gasket|25|shipped
1301|ember|south|sensor|56|pending
1853|birch|north|frame|89|held
2095|harbor|east|sensor|34|pending
2147|birch|south|gasket|80|paid
1409|ember|south|frame|52|pending
1238|acme|east|rotor|70|paid
1949|ember|north|gasket|24|paid
1604|birch|west|frame|64|shipped
2021|fulton|south|gasket|82|paid
1447|gale|east|gasket|37|held
1598|ember|south|sensor|57|shipped
1575|dorian|east|panel|59|pending
1675|birch|east|pump|93|held
1709|fulton|east|panel|45|pending
1547|cobalt|north|pump|87|paid
1954|ember|south|cable|40|held
1281|cobalt|north|panel|26|held
2122|cobalt|south|pump|90|held
1555|juno|north|gasket|30|held
1422|ionic|south|pump|37|paid
1869|cobalt|east|sensor|36|pending
1676|cobalt|east|frame|74|shipped
1920|fulton|west|rotor|17|shipped
2042|acme|east|cable|15|shipped
1243|gale|north|rotor|51|shipped
1934|fulton|west|sensor|32|held
1274|birch|east|rotor|87|shipped
2088|birch|north|valve|19|paid
1383|fulton|north|frame|29|paid
1703|ionic|east|panel|62|held
1450|juno|south|cable|17|paid
1644|ionic|east|valve|84|paid
1764|ionic|south|gasket|25|shipped
1838|harbor|south|panel|10|held
1514|cobalt|east|pump|94|paid
1622|ionic|north|panel|53|pending
1344|ember|west|frame|64|paid
2020|birch|east|frame|25|pending
1983|birch|north|rotor|36|held
1495|gale|west|gasket|37|pending
1593|gale|west|sensor|33|shipped
1497|juno|north|sensor|70|shipped
1537|birch|east|sensor|83|shipped
2141|dorian|south|pump|34|shipped
1303|birch|east|valve|16|pending
1770|harbor|south|panel|78|pending
1462|dorian|south|cable|40|pending
1474|acme|west|rotor|55|pending
2131|juno|south|rotor|95|held
1333|harbor|east|rotor|51|pending
1570|harbor|west|gasket|26|shipped
1776|juno|east|sensor|28|held
2037|birch|east|frame|69|pending
2217|ionic|west|sensor|48|held
1394|birch|west|rotor|82|held
1985|birch|south|frame|95|shipped
1686|cobalt|south|panel|78|held
2159|cobalt|west|pump|12|shipped
1294|juno|south|gasket|79|shipped
1299|acme|west|rotor|48|held
1526|gale|north|panel|68|shipped
1908|fulton|north|valve|82|paid
2156|harbor|east|rotor|42|paid
1156|gale|west|sensor|73|pending
1640|gale|north|gasket|42|pending
1249|birch|south|pump|46|held
1713|acme|east|pump|39|shipped
1927|gale|north|sensor|24|shipped
1611|harbor|north|rotor|48|pending
1818|birch|east|frame|19|pending
1289|ionic|east|cable|33|pending
2146|acme|south|panel|22|pending
1246|ionic|south|pump|24|paid
2126|fulton|west|panel|29|held
2151|birch|west|sensor|19|held
1902|harbor|west|panel|94|pending
1620|harbor|south|sensor|81|paid
1489|acme|north|sensor|73|shipped
2187|acme|south|panel|23|pending
1580|fulton|east|frame|25|held
2154|ionic|east|pump|68|shipped
1354|acme|east|valve|42|paid
1744|acme|west|valve|69|paid
1682|fulton|east|frame|46|pending
1632|ionic|east|sensor|94|shipped
1167|gale|west|cable|53|pending
1628|ionic|east|gasket|96|shipped
2115|dorian|south|frame|27|pending
2193|harbor|south|sensor|19|shipped
1943|birch|south|sensor|74|pending
1544|cobalt|east|valve|50|shipped
1817|gale|east|sensor|14|pending
1915|dorian|south|panel|87|shipped
1428|cobalt|south|pump|46|pending
1935|gale|east|pump|55|paid
1290|gale|south|frame|24|shipped
1220|acme|south|cable|53|held
1143|gale|west|pump|24|pending
1759|ionic|south|pump|94|shipped
1884|juno|east|pump|46|pending
1322|acme|west|cable|13|shipped
1610|acme|south|rotor|79|shipped
1751|harbor|west|frame|23|pending
1794|birch|east|rotor|20|pending
1994|acme|north|frame|39|shipped
2060|fulton|west|rotor|63|shipped
2130|ionic|south|sensor|23|shipped
2194|harbor|west|cable|84|held
2200|dorian|east|rotor|32|shipped
2092|fulton|north|sensor|14|paid
1401|fulton|east|cable|35|held
1552|birch|north|gasket|29|held
1819|dorian|south|panel|24|paid
1658|dorian|south|panel|61|paid
1278|harbor|north|valve|23|pending
1981|juno|east|cable|21|shipped
1376|gale|south|cable|67|held
2178|fulton|south|rotor|23|pending
1996|harbor|north|gasket|18|pending
1821|birch|east|valve|80|shipped
2030|juno|north|pump|61|pending
2061|ionic|south|gasket|42|held
1651|birch|south|valve|38|pending
2067|juno|east|rotor|18|paid
1730|harbor|west|gasket|22|pending
1909|ionic|north|sensor|93|pending
2007|juno|east|valve|41|pending
1899|juno|south|cable|44|paid
1291|birch|east|frame|99|pending
1875|gale|east|pump|23|pending
2207|acme|north|valve|19|paid
1338|dorian|east|cable|71|pending
1209|gale|west|gasket|13|held
1572|gale|west|sensor|57|paid
1596|dorian|east|panel|95|paid
1700|harbor|south|valve|68|held
1416|dorian|south|cable|11|pending
1318|ionic|north|cable|87|paid
1280|harbor|south|sensor|88|paid
1196|fulton|east|cable|32|paid
1441|dorian|north|cable|37|pending
1166|gale|west|rotor|39|paid
1193|cobalt|west|pump|53|held
1671|fulton|west|cable|18|shipped
2085|gale|west|rotor|15|paid
1959|ionic|east|gasket|91|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 65, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[{"tool": "cancel_order", "args": {"order_id": 1143}}, {"tool": "restock", "args": {"item": "sensor", "qty": 73}}, {"tool": "cancel_order", "args": {"order_id": 1167}}, {"tool": "cancel_order", "args": {"order_id": 1495}}]

correctagentic.tools.deploy-v1conf 100% · 452ms · $0.001 · 1447 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

correctagentic.tools.context-load-v1conf 100% · 590ms · $0.004 · 8276 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 (227 records, format: id|customer|region|item|qty|status):
```
1660|harbor|east|cable|65|shipped
1647|acme|north|gasket|49|held
2019|gale|north|valve|80|held
2230|juno|south|gasket|19|held
1796|ember|east|panel|57|held
1900|ionic|south|valve|49|held
1834|birch|east|cable|86|shipped
1928|juno|west|gasket|30|held
1380|ionic|south|frame|64|pending
1496|harbor|west|panel|43|shipped
1678|juno|west|rotor|12|paid
1687|juno|east|gasket|16|held
1750|dorian|east|sensor|24|paid
1848|acme|south|frame|36|held
2177|acme|north|rotor|47|held
1475|ember|north|valve|48|shipped
1447|harbor|north|cable|47|shipped
1621|ionic|west|cable|28|held
1543|harbor|west|cable|13|paid
1862|ember|east|valve|26|paid
1567|juno|west|valve|18|paid
1711|dorian|east|cable|77|pending
2084|gale|north|sensor|52|shipped
1473|harbor|east|pump|70|pending
1859|acme|west|valve|39|held
1922|cobalt|east|rotor|70|pending
1557|juno|south|sensor|21|shipped
1442|juno|east|rotor|29|held
1683|juno|south|panel|13|paid
1956|harbor|east|rotor|22|pending
1807|birch|south|valve|96|pending
1491|cobalt|east|cable|60|held
1450|dorian|north|cable|76|paid
2272|juno|east|gasket|64|paid
1820|cobalt|west|gasket|50|paid
2028|harbor|north|rotor|76|paid
2090|gale|north|valve|26|held
1942|fulton|west|gasket|88|pending
1615|juno|west|panel|99|held
1601|harbor|east|gasket|92|pending
1935|cobalt|north|valve|32|held
1835|fulton|north|gasket|50|pending
1929|acme|west|rotor|95|held
1495|cobalt|west|rotor|41|paid
2097|ionic|west|rotor|52|pending
1603|ionic|east|sensor|76|pending
1401|cobalt|north|frame|87|paid
2158|ember|south|panel|26|pending
1471|birch|east|cable|88|paid
2275|acme|north|valve|40|pending
1839|juno|south|rotor|82|held
2174|gale|east|gasket|70|held
1863|harbor|west|rotor|83|held
1748|dorian|south|pump|83|held
1766|acme|west|panel|96|shipped
1699|acme|south|frame|40|held
1391|ionic|east|frame|23|pending
1632|ionic|north|cable|60|paid
2233|gale|west|valve|36|held
1731|ionic|north|sensor|48|shipped
2102|ember|south|gasket|17|shipped
2218|harbor|east|panel|31|pending
2211|fulton|south|sensor|89|held
2279|birch|south|cable|76|shipped
1656|birch|east|frame|62|held
1545|ember|south|frame|12|paid
1481|fulton|south|frame|64|shipped
1723|fulton|west|panel|79|shipped
1898|gale|south|frame|44|paid
2073|harbor|south|gasket|63|held
2225|gale|east|sensor|41|held
1538|ember|south|panel|89|paid
1551|ionic|south|pump|12|paid
1737|birch|south|sensor|96|shipped
1370|ionic|west|frame|14|pending
1505|ember|east|panel|96|held
1420|juno|east|panel|45|held
1596|ionic|south|gasket|57|shipped
1640|fulton|east|frame|68|pending
1586|birch|west|panel|57|paid
2042|fulton|west|rotor|18|pending
1528|acme|south|frame|56|paid
1752|ionic|north|valve|34|held
1784|dorian|west|panel|98|shipped
2109|dorian|east|panel|89|shipped
1591|birch|west|sensor|75|shipped
2054|harbor|west|gasket|14|paid
1594|fulton|south|valve|36|paid
1602|juno|east|panel|65|paid
1768|fulton|east|gasket|85|held
1712|juno|west|pump|70|paid
2168|dorian|east|cable|50|paid
1524|cobalt|south|cable|65|pending
1468|acme|east|pump|32|held
1372|ionic|east|pump|48|shipped
1719|juno|north|rotor|17|paid
2059|gale|south|valve|87|paid
1654|ionic|south|pump|92|shipped
2075|juno|west|cable|65|held
2134|birch|north|pump|60|held
1465|cobalt|south|sensor|22|shipped
1365|ionic|east|sensor|51|pending
2046|juno|west|cable|48|shipped
1948|acme|south|panel|49|held
2216|cobalt|north|cable|17|held
1427|dorian|south|cable|21|shipped
2251|cobalt|south|frame|80|shipped
1573|harbor|west|valve|24|paid
1905|fulton|south|panel|41|held
1755|birch|west|sensor|70|shipped
1653|dorian|west|sensor|49|held
1721|harbor|south|panel|50|shipped
1911|cobalt|west|panel|93|held
1437|fulton|north|gasket|78|shipped
2011|gale|west|sensor|34|held
1827|dorian|east|sensor|77|pending
1992|acme|north|valve|68|held
2113|juno|east|rotor|98|paid
1531|cobalt|east|rotor|94|paid
1964|ember|south|panel|77|paid
1413|fulton|north|gasket|98|pending
2033|gale|north|panel|16|paid
1634|juno|north|sensor|40|pending
2129|dorian|south|valve|56|paid
1746|dorian|west|cable|54|shipped
2099|ember|east|panel|19|held
1638|fulton|east|gasket|54|held
2089|dorian|north|sensor|46|shipped
1616|juno|north|sensor|77|paid
1851|cobalt|north|sensor|25|shipped
1694|cobalt|west|gasket|30|held
1761|cobalt|west|cable|13|held
1997|harbor|west|frame|81|pending
2252|harbor|east|cable|59|held
1915|juno|south|panel|50|paid
2014|birch|west|sensor|91|pending
1625|ionic|south|sensor|69|held
1974|dorian|south|rotor|11|held
1397|ionic|north|rotor|67|pending
2135|cobalt|north|pump|40|held
1518|ionic|south|pump|22|paid
2259|dorian|east|panel|82|held
1707|dorian|east|cable|82|shipped
2069|acme|north|valve|57|pending
2199|acme|south|frame|37|pending
1534|acme|south|gasket|50|held
2076|fulton|north|rotor|17|pending
2246|harbor|south|pump|29|held
2124|birch|east|frame|86|held
1845|fulton|south|pump|38|pending
1880|harbor|east|cable|72|pending
1913|fulton|west|frame|64|held
1667|juno|south|sensor|89|held
1409|birch|south|pump|47|shipped
1595|ember|north|gasket|78|shipped
1941|birch|south|sensor|20|pending
2261|birch|north|sensor|10|paid
2183|fulton|east|pump|50|pending
2063|juno|west|frame|30|pending
2152|birch|south|sensor|93|held
2265|acme|east|valve|20|held
1533|dorian|north|sensor|94|held
1740|juno|east|frame|21|shipped
1458|harbor|east|pump|62|paid
1953|ember|south|valve|32|paid
2144|fulton|east|pump|26|shipped
2193|gale|north|frame|38|pending
1434|acme|east|rotor|45|pending
1780|ionic|east|frame|71|pending
1609|acme|east|gasket|27|shipped
1795|gale|west|rotor|30|pending
1379|ionic|east|gasket|20|pending
2205|birch|south|rotor|34|shipped
1869|fulton|west|cable|54|held
2239|birch|east|pump|26|held
1800|ember|north|sensor|79|shipped
1775|birch|west|cable|95|shipped
2119|fulton|west|gasket|18|paid
1408|dorian|east|frame|82|paid
1916|harbor|north|cable|98|pending
1999|gale|north|cable|61|pending
1728|birch|north|frame|22|pending
1398|ionic|east|frame|32|held
1605|ember|west|valve|89|pending
2005|ionic|north|valve|70|shipped
1537|harbor|north|gasket|39|paid
1982|harbor|south|rotor|21|shipped
1387|ionic|east|valve|17|shipped
2022|fulton|south|cable|86|paid
1873|fulton|west|panel|83|held
1462|birch|east|cable|29|held
1742|harbor|north|pump|21|shipped
2190|fulton|west|gasket|20|pending
1730|juno|north|sensor|24|shipped
1984|ionic|east|sensor|34|shipped
1706|ionic|south|sensor|46|shipped
2226|ember|north|pump|91|held
2162|harbor|north|cable|15|held
1486|harbor|east|frame|23|pending
2138|cobalt|west|valve|30|shipped
1584|juno|north|panel|20|paid
1861|dorian|east|valve|13|shipped
1597|ember|south|sensor|85|paid
1893|juno|north|rotor|89|pending
2038|gale|south|valve|93|pending
1961|dorian|north|rotor|48|held
2081|ember|south|valve|10|paid
1971|dorian|north|frame|74|held
1976|birch|north|sensor|32|held
1456|harbor|south|gasket|88|paid
1498|acme|east|panel|90|shipped
1788|ember|north|panel|93|paid
1886|birch|south|cable|59|paid
1512|dorian|west|panel|25|pending
2151|gale|east|sensor|67|pending
2052|birch|north|gasket|43|held
1578|cobalt|west|cable|21|shipped
1671|gale|south|gasket|17|held
2141|ionic|north|gasket|78|pending
1814|fulton|west|pump|24|pending
2215|ember|east|rotor|73|pending
1958|ionic|west|frame|48|held
1854|gale|west|sensor|78|pending
1560|gale|west|frame|85|held
1991|gale|west|frame|26|held
1532|juno|west|gasket|38|paid
1749|gale|west|sensor|24|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 52, 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": 1365}},
    {"tool": "cancel_order", "args": {"order_id": 1379}},
    {"tool": "cancel_order", "args": {"order_id": 1391}},
    {"tool": "restock", "args": {"item": "sensor", "qty": 76}},
    {"tool": "restock", "args": {"item": "frame", "qty": 71}}
]

correctagentic.tools.ledger-v1conf 100% · 430ms · $0.001 · 3054 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: $688
- kilo: $787
- delta: $145

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $199 from "kilo" to "bravo"
2. pay $496 from "kilo" to "bravo"
3. pay $516 from "bravo" to "kilo"
4. pay $361 from "delta" to "bravo"
5. pay $166 from "delta" to "kilo"

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

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

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

model answer:

[{"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 199}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 496}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 516}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 216}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 361}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 166}}, {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 166}}]

correctagentic.tools.triage-v1conf 100% · 515ms · $0.001 · 2201 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → dubois
- auth → tanaka
- infra → novak

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "cannot reset password" (category: auth, priority 7)
3. "cannot reset password" (category: auth, 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": "dashboard shows stale numbers", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}]

correctagentic.tools.context-load-v1conf 99% · 577ms · $0.005 · 10440 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (254 records, format: id|customer|region|item|qty|status):
```
1752|juno|west|sensor|38|paid
2019|fulton|west|rotor|17|paid
1842|ember|west|valve|84|paid
2176|harbor|south|pump|77|held
1955|dorian|west|cable|41|held
1531|ionic|east|valve|11|pending
1422|birch|south|frame|32|held
1954|cobalt|south|valve|62|paid
1900|juno|north|rotor|80|paid
1465|acme|east|sensor|80|pending
1881|gale|east|frame|38|pending
1414|acme|north|cable|25|shipped
1563|juno|west|frame|52|held
1991|ember|north|gasket|27|held
1354|birch|west|panel|47|paid
2271|fulton|north|sensor|34|paid
1392|gale|south|valve|79|shipped
1998|gale|north|gasket|10|shipped
2141|dorian|south|gasket|40|held
1983|harbor|west|frame|87|paid
2095|acme|north|pump|88|held
1788|fulton|north|pump|90|held
1877|birch|west|pump|77|shipped
1612|cobalt|west|gasket|55|paid
1430|acme|south|cable|12|shipped
1701|gale|west|rotor|14|held
1850|cobalt|south|valve|72|shipped
1649|fulton|south|rotor|36|held
1565|fulton|south|frame|94|pending
1476|ember|south|gasket|86|held
1308|ionic|east|rotor|60|pending
1544|harbor|north|sensor|76|held
1781|gale|east|gasket|72|held
1594|dorian|east|sensor|16|paid
1524|cobalt|east|rotor|82|paid
1337|ionic|west|pump|16|pending
1646|dorian|south|gasket|99|paid
1368|gale|west|gasket|47|held
1554|dorian|north|sensor|18|shipped
1406|ionic|north|panel|53|pending
2206|ionic|west|frame|69|held
1385|gale|south|rotor|31|pending
1921|ember|south|valve|54|paid
1863|ember|west|valve|57|shipped
1677|juno|west|cable|78|shipped
1919|ionic|south|gasket|94|shipped
1914|ember|north|frame|92|pending
1770|birch|west|gasket|67|pending
1817|birch|south|rotor|64|held
2073|harbor|north|frame|34|pending
1456|harbor|north|panel|84|paid
1945|gale|east|cable|83|pending
2049|birch|east|panel|53|pending
2189|gale|west|frame|78|shipped
2085|gale|south|panel|90|held
2102|cobalt|west|sensor|23|paid
1794|ember|north|rotor|55|held
1927|gale|north|gasket|89|held
1657|birch|south|frame|45|shipped
1939|fulton|west|pump|16|held
2192|birch|east|frame|54|held
2030|harbor|west|valve|12|held
2234|cobalt|east|valve|10|paid
1897|dorian|west|gasket|64|pending
2133|ionic|west|frame|85|shipped
1509|birch|east|panel|57|shipped
2145|juno|south|gasket|31|paid
1994|gale|west|frame|79|shipped
2184|cobalt|north|cable|20|paid
1661|fulton|south|gasket|95|paid
1516|harbor|east|cable|20|paid
1696|fulton|east|panel|54|shipped
1373|cobalt|east|pump|89|paid
1411|ember|north|valve|47|paid
1837|dorian|west|frame|91|held
2007|ionic|east|valve|72|held
1898|acme|south|frame|99|shipped
2270|birch|north|gasket|27|held
1547|ionic|south|frame|64|pending
2222|birch|south|valve|90|held
1944|acme|east|pump|24|shipped
1683|dorian|south|frame|90|pending
1830|ionic|west|panel|96|shipped
1541|fulton|south|pump|85|shipped
2171|ember|west|frame|48|held
1962|dorian|north|rotor|71|held
1619|acme|south|rotor|45|held
2236|fulton|north|frame|65|held
2265|fulton|east|valve|96|pending
2111|fulton|north|rotor|91|paid
1435|ember|south|gasket|90|held
1843|harbor|south|pump|43|shipped
1860|juno|south|sensor|41|held
1862|ember|west|rotor|97|held
1739|harbor|east|frame|65|paid
1810|birch|north|pump|13|shipped
1586|ionic|north|rotor|92|paid
2124|ionic|south|sensor|38|pending
1315|ionic|east|cable|26|held
1470|ionic|west|cable|96|shipped
1581|harbor|west|sensor|81|held
1491|juno|south|cable|69|pending
1690|birch|west|rotor|80|pending
2248|birch|east|sensor|93|pending
2130|ionic|east|cable|27|held
2024|harbor|north|frame|94|paid
1324|ionic|south|cable|85|pending
2201|ember|west|pump|41|shipped
1853|birch|east|cable|66|pending
2056|ionic|east|frame|62|paid
2013|ionic|west|panel|25|shipped
1572|acme|south|frame|97|pending
2064|acme|east|sensor|11|paid
1652|ember|east|panel|87|pending
1483|gale|east|frame|31|shipped
1587|dorian|south|valve|97|pending
1523|juno|north|rotor|44|held
1890|fulton|south|rotor|60|pending
1539|dorian|west|sensor|30|held
1933|ionic|south|sensor|22|paid
1593|dorian|south|cable|71|held
1427|harbor|east|panel|85|paid
1390|gale|west|rotor|89|pending
2241|acme|north|gasket|98|held
1909|gale|north|pump|89|shipped
1674|harbor|east|rotor|83|held
2059|fulton|east|frame|13|shipped
2117|ionic|north|pump|54|shipped
1578|birch|south|frame|67|pending
1782|juno|north|cable|96|held
1834|harbor|east|frame|60|shipped
1358|cobalt|south|panel|68|pending
1468|acme|west|cable|12|shipped
1402|ember|north|cable|28|pending
1425|acme|east|valve|47|paid
2276|gale|north|gasket|99|pending
1964|ionic|north|sensor|13|held
1636|fulton|west|rotor|76|held
1485|fulton|south|sensor|45|shipped
1576|ember|south|gasket|19|pending
2259|ionic|west|pump|36|pending
1441|ionic|north|frame|23|held
1549|dorian|south|sensor|98|pending
1399|ionic|west|panel|32|shipped
1662|harbor|north|pump|97|held
1759|gale|west|rotor|36|held
1797|cobalt|north|rotor|46|paid
1378|ionic|west|cable|27|shipped
1609|harbor|south|rotor|65|shipped
1513|ionic|west|frame|32|shipped
2022|dorian|north|frame|89|held
1990|gale|west|valve|33|pending
2156|cobalt|east|valve|83|paid
1653|birch|north|cable|63|held
1626|cobalt|south|pump|10|shipped
2167|acme|south|panel|67|held
1904|cobalt|west|frame|17|paid
1695|dorian|north|valve|74|pending
1966|dorian|west|pump|85|shipped
1376|fulton|east|cable|62|shipped
2163|ionic|east|panel|60|shipped
1352|cobalt|north|cable|35|pending
1449|birch|west|pump|37|held
1831|harbor|east|panel|80|paid
1728|acme|north|rotor|53|paid
2155|ember|west|rotor|12|shipped
2150|ionic|west|gasket|56|pending
1807|harbor|south|rotor|81|paid
1499|juno|east|frame|57|held
2052|ember|north|sensor|78|paid
1726|harbor|east|pump|68|pending
2068|cobalt|west|cable|17|shipped
1618|cobalt|west|valve|60|paid
1607|cobalt|north|panel|13|held
1444|gale|east|frame|27|paid
1745|ionic|east|panel|94|shipped
1719|acme|north|panel|78|shipped
1351|dorian|south|gasket|49|paid
2092|dorian|south|rotor|42|pending
2187|acme|south|rotor|87|pending
1714|dorian|south|rotor|23|held
1942|ember|west|gasket|78|shipped
2009|acme|west|cable|28|pending
2109|ember|east|sensor|20|pending
1537|acme|south|panel|92|held
1915|dorian|south|cable|91|held
2001|ember|east|frame|47|shipped
1395|gale|north|sensor|42|held
1504|dorian|north|cable|32|paid
1735|cobalt|west|rotor|53|paid
1758|dorian|south|panel|33|shipped
2199|harbor|west|valve|79|shipped
1317|ionic|east|cable|77|pending
2283|fulton|west|valve|28|pending
1920|cobalt|east|gasket|95|held
1520|cobalt|east|cable|31|held
1721|acme|north|rotor|30|held
1583|ember|south|sensor|88|paid
1707|harbor|north|panel|75|pending
2081|ionic|east|gasket|31|paid
1888|fulton|south|sensor|43|shipped
1462|ember|north|valve|51|held
1976|acme|north|panel|67|paid
1775|ember|south|panel|13|paid
1628|dorian|north|gasket|20|shipped
2262|gale|south|panel|84|held
2178|cobalt|east|rotor|37|held
2228|gale|east|panel|18|shipped
1592|juno|west|sensor|67|shipped
1543|ionic|north|panel|85|shipped
2093|juno|north|sensor|92|pending
2170|dorian|east|cable|41|held
2290|harbor|south|pump|14|pending
2002|cobalt|west|panel|37|shipped
2104|ionic|east|rotor|42|paid
1640|birch|east|valve|43|paid
1704|birch|east|gasket|66|paid
2137|harbor|east|valve|40|paid
2220|ionic|west|gasket|75|shipped
1310|ionic|west|gasket|19|pending
2075|ionic|east|panel|52|paid
2037|ember|south|gasket|46|paid
1691|acme|west|rotor|23|shipped
1970|juno|west|sensor|92|pending
1416|harbor|west|rotor|47|held
1344|ionic|east|rotor|19|shipped
1453|ember|north|pump|89|shipped
2296|acme|west|frame|89|pending
2254|gale|south|pump|67|held
1567|acme|east|cable|27|held
1330|ionic|east|gasket|63|paid
1336|ionic|east|sensor|96|pending
1362|cobalt|west|sensor|85|held
1731|gale|east|sensor|26|paid
2213|acme|east|sensor|93|held
1600|juno|west|gasket|76|pending
1668|gale|west|frame|39|shipped
1815|fulton|east|panel|30|paid
1878|ionic|south|pump|62|held
2142|gale|north|frame|22|shipped
1971|ember|east|sensor|34|held
2050|acme|north|frame|33|shipped
2043|cobalt|north|cable|36|pending
1821|fulton|west|rotor|73|held
1498|ember|west|sensor|87|shipped
1635|gale|south|sensor|37|shipped
1947|birch|west|sensor|16|shipped
1561|cobalt|east|rotor|52|held
1764|fulton|north|rotor|33|held
1820|harbor|south|gasket|87|held
1802|gale|north|pump|59|shipped
1870|ionic|north|gasket|18|held
1778|ember|south|pump|71|shipped
1824|fulton|west|cable|97|held
```

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

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

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

model answer:

[{"tool": "restock", "args": {"item": "rotor", "qty": 60}}, {"tool": "restock", "args": {"item": "cable", "qty": 77}}, {"tool": "restock", "args": {"item": "sensor", "qty": 96}}, {"tool": "cancel_order", "args": {"order_id": 1531}}]

correctagentic.tools.deploy-v1conf 100% · 439ms · $0.001 · 1915 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

correctagentic.tools.ledger-v1conf 100% · 430ms · $0.001 · 2611 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: $266
- lima: $776
- alpha: $885

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $359 from "kilo" to "alpha"
2. pay $433 from "kilo" to "lima"
3. pay $396 from "lima" to "kilo"
4. pay $142 from "alpha" to "kilo"
5. pay $249 from "kilo" to "alpha"

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

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

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

model answer:

[{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 93}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 359}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 433}}, {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 433}}, {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 396}}, {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 142}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 249}}]

correctagentic.tools.triage-v1conf 100% · 558ms · $0.001 · 2750 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 9)
2. "cannot reset password" (category: auth, priority 5)
3. "webhooks not delivered" (category: infra, priority 9)
4. "invoice total wrong" (category: payments, priority 9)

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

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

model answer:

[{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}]

correctagentic.tools.deploy-v1conf 100% · 446ms · $0.001 · 1784 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: gateway
- gateway: (none)
- billing: gateway
- reports: billing, gateway

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

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

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

model answer:

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

correctagentic.tools.context-load-v1conf 100% · 565ms · $0.003 · 5835 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 (137 records, format: id|customer|region|item|qty|status):
```
1470|cobalt|north|rotor|22|held
1199|juno|west|cable|52|paid
1612|birch|west|panel|39|pending
1363|acme|east|panel|49|paid
1640|cobalt|west|cable|19|pending
1261|ember|west|panel|66|paid
1627|gale|south|rotor|45|paid
1515|fulton|south|gasket|28|paid
1646|birch|west|frame|85|shipped
1393|juno|west|rotor|33|paid
1511|acme|east|frame|12|shipped
1423|birch|west|sensor|50|shipped
1333|ember|east|frame|70|shipped
1339|fulton|north|panel|63|held
1560|birch|south|cable|93|shipped
1451|fulton|east|valve|94|held
1469|harbor|east|rotor|22|pending
1509|gale|east|rotor|42|paid
1582|harbor|north|sensor|18|shipped
1424|acme|south|panel|21|paid
1153|cobalt|south|pump|53|pending
1158|gale|south|cable|83|paid
1546|gale|west|frame|76|shipped
1223|fulton|south|cable|41|held
1522|juno|north|cable|59|pending
1258|fulton|north|sensor|24|shipped
1384|fulton|south|pump|56|pending
1138|cobalt|east|gasket|44|pending
1360|harbor|south|rotor|46|pending
1476|fulton|west|frame|94|pending
1300|ember|east|rotor|60|shipped
1443|ember|west|frame|55|shipped
1406|gale|south|pump|31|shipped
1171|juno|north|valve|33|paid
1244|cobalt|south|gasket|33|pending
1146|cobalt|east|pump|39|shipped
1593|ember|south|cable|93|paid
1376|ionic|west|sensor|35|pending
1479|gale|north|panel|30|pending
1398|ember|south|valve|13|held
1294|cobalt|east|frame|37|shipped
1306|gale|north|cable|32|held
1452|cobalt|east|cable|12|held
1403|cobalt|east|sensor|36|shipped
1575|ionic|east|pump|23|held
1316|dorian|south|rotor|82|shipped
1539|ember|north|cable|83|paid
1396|ionic|south|pump|29|pending
1601|cobalt|south|panel|33|pending
1141|cobalt|north|panel|98|pending
1566|birch|west|rotor|21|pending
1230|harbor|west|frame|41|held
1500|dorian|north|panel|30|paid
1237|juno|north|pump|69|paid
1567|birch|east|frame|49|paid
1269|ionic|south|gasket|78|held
1458|gale|west|valve|64|held
1555|juno|north|rotor|19|paid
1162|cobalt|west|rotor|31|shipped
1324|ember|east|valve|40|shipped
1512|harbor|west|panel|60|held
1373|dorian|north|cable|99|shipped
1157|ionic|south|pump|55|shipped
1323|ionic|west|cable|35|pending
1330|acme|west|gasket|39|pending
1432|ember|west|gasket|26|paid
1134|cobalt|east|gasket|10|pending
1613|harbor|south|rotor|40|paid
1150|cobalt|east|gasket|96|pending
1588|cobalt|south|gasket|49|held
1268|ionic|south|cable|94|pending
1597|birch|south|sensor|85|shipped
1265|ember|west|sensor|93|held
1353|harbor|south|cable|25|held
1245|juno|east|sensor|97|held
1607|birch|east|sensor|66|held
1438|ember|west|cable|36|pending
1484|juno|north|sensor|96|paid
1247|cobalt|south|cable|30|pending
1409|fulton|west|cable|27|paid
1164|acme|south|valve|91|held
1464|gale|north|pump|52|pending
1272|gale|east|valve|82|shipped
1417|ionic|south|gasket|52|pending
1263|cobalt|north|sensor|58|shipped
1425|ionic|west|valve|69|held
1603|ionic|north|panel|88|held
1643|ionic|west|sensor|58|paid
1210|fulton|east|panel|26|held
1178|fulton|west|gasket|66|held
1581|juno|north|pump|49|pending
1382|juno|south|rotor|28|paid
1571|gale|west|pump|98|paid
1135|cobalt|north|frame|86|pending
1344|ember|north|panel|90|pending
1468|cobalt|north|sensor|89|pending
1304|acme|south|sensor|23|paid
1390|gale|east|frame|96|pending
1315|harbor|south|rotor|44|shipped
1296|ember|south|cable|18|pending
1485|dorian|south|valve|52|held
1286|ionic|south|frame|16|shipped
1156|cobalt|east|panel|92|held
1185|cobalt|west|rotor|52|held
1311|birch|north|pump|13|held
1348|harbor|south|sensor|49|shipped
1394|acme|south|rotor|26|held
1563|birch|west|cable|42|shipped
1233|cobalt|east|frame|59|paid
1533|fulton|east|frame|32|paid
1207|dorian|east|panel|82|paid
1410|juno|south|valve|84|pending
1447|gale|north|cable|82|paid
1226|birch|west|panel|98|paid
1177|ionic|east|panel|20|pending
1625|dorian|west|rotor|94|paid
1496|acme|south|rotor|28|held
1253|ember|north|gasket|78|pending
1137|cobalt|east|gasket|89|paid
1503|gale|north|valve|63|pending
1231|ember|west|valve|20|shipped
1550|fulton|north|panel|77|held
1527|gale|north|valve|10|shipped
1633|cobalt|west|sensor|79|held
1192|juno|west|panel|46|pending
1293|birch|south|gasket|48|held
1494|dorian|north|pump|87|held
1204|gale|south|panel|35|shipped
1283|ember|south|valve|14|pending
1278|birch|south|cable|75|pending
1367|dorian|east|sensor|94|pending
1552|gale|east|panel|23|shipped
1620|acme|east|rotor|36|shipped
1491|fulton|east|cable|93|paid
1441|ember|east|sensor|72|held
1426|juno|east|frame|49|shipped
1217|birch|south|panel|28|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

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

model answer:

[{"tool": "cancel_order", "args": {"order_id": 1134}}, {"tool": "cancel_order", "args": {"order_id": 1138}}, {"tool": "restock", "args": {"item": "gasket", "qty": 96}}]

correctagentic.tools.ledger-v1conf 100% · 892ms · $0.001 · 2020 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $552
- bravo: $509
- delta: $474

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $190 from "tango" to "delta"
2. pay $521 from "tango" to "bravo"
3. pay $473 from "delta" to "bravo"
4. pay $143 from "tango" to "bravo"

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

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

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

model answer:

[{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 190}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 159}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 521}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 473}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 143}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 143}}]

correctagentic.tools.triage-v1conf 100% · 448ms · $0.001 · 3505 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 7)
2. "records missing after import" (category: data, priority 6)
3. "uploads failing intermittently" (category: infra, priority 7)
4. "API latency spikes" (category: infra, 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": "uploads failing intermittently", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}}]

correctagentic.tools.deploy-v1conf 100% · 490ms · $0.001 · 2197 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)
- reports: gateway, notifier
- auth-svc: gateway, reports
- notifier: 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": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}]

correctagentic.tools.ledger-v1conf 100% · 415ms · $0.001 · 2319 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $373
- kilo: $600
- oscar: $437

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $208 from "tango" to "oscar"
2. pay $532 from "tango" to "oscar"
3. pay $345 from "oscar" to "kilo"
4. pay $555 from "tango" to "kilo"

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

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

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

model answer:

[{"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 208}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 367}}, {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 532}}, {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 345}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 555}}, {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 555}}]

correctagentic.tools.context-load-v1conf 100% · 554ms · $0.002 · 3368 tok

question

You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (148 records, format: id|customer|region|item|qty|status):
```
1477|juno|south|valve|99|shipped
1599|ionic|west|sensor|76|held
1249|ember|north|gasket|58|paid
1633|harbor|west|rotor|95|shipped
1661|fulton|south|cable|56|held
1643|harbor|west|panel|66|paid
1184|cobalt|east|pump|78|pending
1492|cobalt|north|cable|74|held
1517|dorian|south|gasket|36|paid
1470|acme|north|panel|54|shipped
1514|gale|south|gasket|40|shipped
1639|fulton|east|frame|69|paid
1160|ionic|north|rotor|87|paid
1398|gale|north|cable|62|shipped
1213|fulton|south|cable|46|pending
1309|cobalt|south|sensor|20|held
1530|ember|east|sensor|21|shipped
1367|dorian|east|rotor|53|held
1622|gale|east|valve|26|shipped
1100|fulton|east|sensor|58|held
1208|dorian|west|sensor|12|held
1168|cobalt|west|sensor|61|shipped
1513|acme|south|gasket|80|held
1318|gale|west|rotor|16|held
1486|gale|south|sensor|50|shipped
1572|dorian|west|valve|18|shipped
1479|birch|south|cable|80|shipped
1617|gale|west|cable|31|pending
1584|acme|west|valve|30|held
1140|dorian|south|panel|30|paid
1348|gale|south|sensor|36|paid
1096|fulton|north|gasket|76|pending
1385|juno|east|rotor|43|pending
1388|gale|east|sensor|15|paid
1638|acme|south|frame|72|pending
1094|fulton|east|valve|20|pending
1266|cobalt|north|sensor|96|shipped
1307|fulton|north|sensor|61|shipped
1558|harbor|east|pump|11|shipped
1336|gale|east|panel|67|shipped
1425|dorian|east|pump|92|shipped
1422|acme|north|pump|38|held
1087|fulton|west|cable|60|pending
1328|dorian|east|panel|18|paid
1446|birch|north|rotor|80|paid
1368|acme|west|cable|88|pending
1498|juno|north|panel|34|paid
1484|ember|north|cable|53|pending
1547|dorian|west|frame|48|shipped
1442|gale|north|gasket|20|pending
1408|cobalt|west|panel|63|held
1602|gale|north|gasket|43|paid
1415|ember|south|sensor|63|shipped
1333|fulton|south|panel|60|paid
1607|birch|north|pump|70|shipped
1576|ionic|north|panel|57|pending
1342|fulton|north|cable|32|paid
1436|gale|north|sensor|49|pending
1379|dorian|east|pump|53|pending
1191|acme|west|sensor|81|paid
1093|fulton|east|pump|68|paid
1554|harbor|north|cable|11|paid
1630|juno|north|cable|21|paid
1363|juno|north|panel|34|shipped
1175|fulton|north|gasket|48|pending
1596|birch|south|cable|35|paid
1286|harbor|south|panel|31|shipped
1121|ember|south|sensor|28|paid
1524|cobalt|west|panel|48|pending
1651|gale|east|panel|40|held
1156|gale|west|gasket|66|pending
1311|cobalt|north|panel|18|pending
1510|fulton|south|pump|93|paid
1505|gale|east|cable|10|pending
1506|acme|east|panel|77|paid
1612|acme|west|pump|34|paid
1392|birch|south|frame|68|held
1164|birch|south|panel|55|held
1150|ionic|west|cable|15|paid
1589|dorian|south|cable|62|held
1132|juno|west|frame|75|shipped
1102|fulton|east|pump|52|pending
1270|acme|south|sensor|39|paid
1146|fulton|north|gasket|36|paid
1567|juno|north|gasket|14|pending
1330|juno|east|valve|23|paid
1315|ember|west|frame|79|pending
1224|acme|east|frame|59|pending
1255|cobalt|north|gasket|49|held
1136|birch|north|panel|78|held
1613|gale|east|gasket|66|paid
1192|birch|north|valve|45|shipped
1593|acme|west|panel|90|shipped
1264|fulton|south|rotor|73|held
1390|dorian|west|pump|54|paid
1114|fulton|east|frame|48|held
1508|dorian|south|pump|32|paid
1561|harbor|west|frame|23|pending
1409|gale|south|valve|89|held
1154|fulton|north|cable|61|shipped
1279|juno|south|frame|23|paid
1275|cobalt|south|pump|78|shipped
1354|dorian|east|gasket|62|held
1587|fulton|north|rotor|97|pending
1289|fulton|west|gasket|48|pending
1453|ionic|east|panel|64|pending
1300|cobalt|north|pump|97|paid
1519|ionic|south|panel|63|held
1108|fulton|south|panel|94|pending
1199|fulton|east|valve|75|paid
1491|fulton|north|pump|69|shipped
1658|ionic|east|gasket|88|paid
1179|dorian|south|pump|88|pending
1537|birch|south|cable|91|pending
1244|gale|east|rotor|90|pending
1216|acme|west|frame|14|paid
1621|fulton|west|frame|86|shipped
1169|ember|south|cable|59|paid
1190|gale|east|pump|46|held
1357|harbor|east|panel|84|paid
1086|fulton|east|sensor|43|pending
1463|gale|south|cable|68|pending
1634|ember|east|frame|91|held
1419|fulton|north|cable|86|paid
1604|gale|north|rotor|50|pending
1294|birch|south|pump|57|shipped
1614|dorian|east|rotor|62|shipped
1205|acme|east|rotor|66|held
1176|gale|north|frame|28|paid
1624|acme|west|cable|65|paid
1260|birch|west|panel|54|pending
1322|dorian|east|cable|19|shipped
1235|acme|east|frame|91|paid
1570|gale|west|rotor|90|pending
1648|acme|west|frame|47|paid
1655|fulton|south|rotor|73|paid
1217|fulton|west|gasket|77|held
1448|birch|north|pump|91|pending
1351|gale|south|gasket|48|paid
1231|cobalt|south|rotor|83|paid
1578|dorian|north|pump|33|held
1128|ionic|east|valve|12|shipped
1403|fulton|north|cable|27|shipped
1456|acme|west|cable|44|held
1375|cobalt|south|gasket|38|pending
1432|juno|east|frame|86|paid
1237|dorian|north|cable|49|pending
1543|cobalt|north|cable|56|held
```

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

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

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

model answer:

[{"tool": "cancel_order", "args": {"order_id": 1086}}, {"tool": "cancel_order", "args": {"order_id": 1094}}, {"tool": "restock", "args": {"item": "pump", "qty": 52}}]

correctagentic.tools.triage-v1conf 100% · 603ms · $0.001 · 2259 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 2)
2. "export file corrupted" (category: data, priority 3)
3. "uploads failing intermittently" (category: infra, priority 2)

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

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

model answer:

[{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}]

correctagentic.tools.deploy-v1conf 100% · 793ms · $0.001 · 2414 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: notifier, search
- search: billing
- billing: (none)
- notifier: billing

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

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

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

model answer:

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

correctagentic.tools.ledger-v1conf 100% · 437ms · $0.001 · 1633 tok

question

You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $299
- delta: $792
- lima: $371

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $365 from "lima" to "delta"
2. pay $129 from "lima" to "delta"
3. pay $83 from "delta" to "alpha"
4. pay $473 from "delta" to "alpha"
5. pay $168 from "delta" to "lima"

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

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

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

model answer:

[{"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 365}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 123}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 129}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 83}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 473}}, {"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 168}}]

correctagentic.tools.triage-v1conf 100% · 467ms · $0.001 · 3231 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 → dubois
- payments → okafor
- auth → novak

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

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

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

model answer:

[{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}}]

wrongagentic.tools.context-load-v1conf 100% · 606ms · $0.002 · 4546 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):
```
1580|acme|east|sensor|66|paid
1826|birch|north|valve|64|pending
1746|juno|north|pump|94|pending
1842|birch|north|valve|94|pending
1988|juno|west|rotor|64|shipped
1880|birch|south|pump|81|shipped
1619|juno|north|panel|88|shipped
1509|acme|east|valve|52|pending
1638|juno|east|cable|83|paid
1285|ionic|north|pump|73|pending
1709|fulton|east|cable|53|held
1781|gale|east|frame|61|paid
1657|juno|north|frame|42|shipped
1490|harbor|south|pump|24|paid
1572|juno|east|sensor|55|held
1857|acme|south|valve|56|held
1648|dorian|west|gasket|49|pending
1914|dorian|north|frame|71|pending
1959|acme|east|cable|63|pending
1934|harbor|north|frame|72|shipped
1891|acme|east|pump|21|pending
1256|ionic|east|pump|83|pending
1333|ionic|west|cable|17|held
1741|juno|north|cable|72|shipped
1605|gale|west|valve|53|paid
1555|juno|north|sensor|13|paid
1281|ionic|north|valve|21|shipped
1402|cobalt|south|gasket|77|shipped
1725|harbor|south|panel|62|paid
1602|birch|north|rotor|90|pending
1869|cobalt|south|gasket|33|paid
1311|acme|south|valve|17|paid
1800|fulton|south|gasket|73|shipped
1276|ionic|west|frame|90|pending
1631|gale|south|pump|10|held
1734|acme|south|frame|89|shipped
1945|acme|east|sensor|29|held
1306|acme|west|rotor|27|shipped
1794|ionic|north|pump|42|shipped
1438|ember|south|frame|84|shipped
1444|acme|east|pump|96|held
1567|juno|west|frame|98|shipped
1975|ember|north|pump|59|shipped
1721|gale|north|gasket|60|held
1902|ionic|west|valve|61|pending
1664|cobalt|west|pump|41|shipped
1467|ionic|west|frame|19|held
1737|gale|east|gasket|21|pending
1526|acme|south|rotor|38|pending
1386|ember|west|panel|50|held
1361|ember|north|frame|80|paid
1247|ionic|north|panel|31|shipped
1787|dorian|north|valve|11|pending
1879|cobalt|north|gasket|10|held
1670|ember|east|sensor|63|paid
1677|ionic|north|cable|10|held
1379|birch|west|gasket|24|held
1496|gale|north|pump|98|held
1672|dorian|east|rotor|21|paid
1702|juno|north|panel|82|paid
1578|ionic|east|valve|33|pending
1810|gale|east|gasket|38|paid
1728|juno|north|rotor|88|paid
1918|harbor|east|rotor|67|shipped
1454|dorian|east|valve|18|held
1685|fulton|west|rotor|20|held
1422|acme|west|sensor|98|shipped
1301|juno|south|gasket|33|paid
1860|gale|north|rotor|23|pending
1528|harbor|south|pump|66|pending
1421|dorian|west|panel|66|held
1392|birch|east|cable|57|paid
1557|ionic|south|sensor|35|pending
1759|juno|south|gasket|75|shipped
1862|dorian|west|cable|64|shipped
1355|dorian|south|pump|57|paid
1780|acme|west|cable|63|shipped
1784|dorian|west|pump|74|shipped
1855|fulton|north|rotor|40|paid
1617|gale|north|cable|21|held
1415|acme|south|pump|96|shipped
1404|cobalt|west|valve|41|held
1627|ember|north|sensor|28|pending
1947|birch|north|frame|22|held
1516|cobalt|north|panel|67|shipped
1967|juno|east|rotor|75|shipped
1714|cobalt|east|cable|39|held
1252|ionic|north|pump|20|pending
1241|ionic|west|panel|49|pending
1304|fulton|east|sensor|35|paid
1275|ionic|north|frame|94|pending
1427|ionic|east|valve|37|held
1693|cobalt|north|gasket|76|shipped
1689|harbor|south|gasket|16|held
1269|ionic|south|gasket|43|pending
1494|birch|south|sensor|27|held
1928|gale|north|pump|60|pending
1294|ionic|north|sensor|97|held
1473|gale|north|cable|22|pending
1345|gale|west|gasket|21|held
1898|gale|west|panel|60|pending
1726|birch|east|gasket|68|paid
1764|juno|west|gasket|43|shipped
1815|harbor|west|panel|34|shipped
1966|acme|west|rotor|66|pending
1288|ionic|east|valve|82|pending
1831|harbor|west|frame|42|shipped
1434|gale|south|sensor|92|held
1529|cobalt|east|valve|27|shipped
1835|gale|north|cable|19|shipped
1848|acme|north|cable|70|shipped
1989|ember|west|rotor|96|shipped
1359|gale|south|valve|65|shipped
1481|gale|east|frame|20|shipped
1708|cobalt|east|panel|84|pending
1507|cobalt|south|sensor|77|pending
1971|dorian|north|rotor|70|pending
1909|dorian|east|valve|77|held
1577|harbor|north|gasket|63|shipped
1682|ionic|north|panel|21|held
1610|fulton|north|frame|52|held
1775|cobalt|east|panel|37|pending
1502|fulton|south|pump|16|pending
1533|ember|west|pump|85|paid
1984|gale|east|gasket|25|held
1564|dorian|south|gasket|37|pending
1388|ember|east|pump|84|paid
1658|cobalt|north|cable|49|held
1318|ember|east|gasket|41|shipped
1407|ember|south|sensor|93|shipped
1861|dorian|north|frame|84|paid
1622|juno|west|cable|28|shipped
1858|juno|east|sensor|71|held
1770|ionic|south|frame|88|shipped
1704|juno|east|panel|23|held
1501|ionic|east|panel|96|pending
1803|acme|west|valve|81|pending
1821|juno|south|rotor|64|held
1888|harbor|west|pump|69|paid
1398|acme|north|rotor|57|pending
1544|juno|south|panel|30|held
1478|harbor|south|pump|54|shipped
1590|harbor|west|sensor|27|pending
1482|dorian|west|cable|86|paid
1408|fulton|north|panel|21|paid
1460|juno|west|frame|62|held
1455|ionic|west|frame|92|pending
1449|birch|south|pump|67|pending
1923|dorian|east|valve|73|paid
1981|acme|south|cable|73|paid
1630|ionic|west|gasket|59|shipped
1349|birch|east|pump|58|paid
1383|ionic|west|gasket|20|held
1274|ionic|north|valve|53|shipped
1425|fulton|south|cable|88|held
1697|ember|south|gasket|47|shipped
1326|birch|west|sensor|57|pending
1433|harbor|south|rotor|95|held
1587|birch|south|valve|98|held
1595|cobalt|north|gasket|33|pending
1257|ionic|north|sensor|55|held
1409|cobalt|east|sensor|23|paid
1519|acme|south|valve|52|pending
1540|juno|east|frame|14|shipped
1940|gale|south|panel|83|pending
1400|gale|north|gasket|97|held
1365|birch|east|sensor|20|paid
1373|gale|north|pump|27|paid
1895|ember|east|sensor|91|held
1367|ionic|west|valve|46|shipped
1872|fulton|north|pump|23|shipped
1550|juno|south|cable|45|paid
1886|ember|west|rotor|11|pending
1263|ionic|north|pump|31|pending
1382|ionic|west|cable|50|held
1446|ember|south|sensor|49|held
1583|birch|east|sensor|83|pending
1340|gale|east|cable|58|held
1477|dorian|north|gasket|15|pending
1954|ember|north|frame|51|shipped
1236|ionic|north|pump|96|pending
1674|birch|south|frame|83|shipped
1342|acme|south|pump|20|shipped
1322|dorian|north|gasket|11|paid
1650|harbor|east|frame|86|held
1484|ember|east|pump|72|held
1644|cobalt|east|gasket|91|shipped
1752|fulton|east|pump|77|held
```

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

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

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

model answer:

[{"tool": "cancel_order", "args": {"order_id": 1252}}, {"tool": "cancel_order", "args": {"order_id": 1263}}, {"tool": "restock", "args": {"item": "frame", "qty": 94}}]

correctagentic.tools.deploy-v1conf 100% · 443ms · $0.001 · 2197 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

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

model answer:

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

wrongagentic.tools.context-load-v1anchorconf 100% · 646ms · $0.002 · 5216 tok

model answer:

[{"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": 1384}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1682}}]

correctagentic.tools.ledger-v1conf 100% · 473ms · $0.001 · 1636 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: $737
- tango: $687
- kilo: $533

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $322 from "tango" to "bravo"
2. pay $363 from "tango" to "bravo"
3. pay $492 from "bravo" to "kilo"
4. pay $244 from "kilo" to "tango"

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

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

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

model answer:

[{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 322}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 363}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 492}}, {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 244}}]

correctagentic.tools.triage-v1conf 100% · 514ms · $0.001 · 2727 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 9)
3. "dashboard shows stale numbers" (category: data, priority 9)
4. "refund double-charged" (category: payments, priority 2)

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

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

model answer:

[
    {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 9}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
    {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}},
    {"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
    {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
    {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}},
    {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
    {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
    {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "okafor"}}
]

correctagentic.tools.deploy-v1anchorconf 100% · 588ms · $0.001 · 2118 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% · 449ms · $0.001 · 2800 tok

model answer:

[{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}]

correctagentic.tools.ledger-v1anchorconf 100% · 1.0s · $0.001 · 2257 tok

model answer:

[{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}]

code 29/30 correct

correctcode.trace.nested-v1conf 100% · 495ms · $0.002 · 3806 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 201

correctcode.trace.js-v1conf 100% · 422ms · $0.000 · 1181 tok

question

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

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

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

model answer: 828

wrongcode.trace.nested-v1conf 100% · 1.8s · $0.001 · 2965 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 113

correctcode.trace.python-v1conf 100% · 433ms · $0.001 · 1276 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 13
while total + v <= 38:
    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: 34

correctcode.trace.js-v1conf 100% · 1.4s · $0.000 · 787 tok

question

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

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
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: 168

correctcode.trace.python-v1conf 100% · 574ms · $0.001 · 2714 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 14
while total + v <= 105:
    if v % 3 != 0:
        total += v
    v += 2
print(total)
```

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

model answer: 98

correctcode.trace.nested-v1conf 100% · 449ms · $0.001 · 3684 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 138

correctcode.trace.js-v1conf 100% · 393ms · $0.000 · 418 tok

question

What does this JavaScript program log?

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

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

model answer: 50

correctcode.trace.nested-v1conf 100% · 515ms · $0.001 · 2601 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) % 2 == 0:
            continue
        total += i * 3 + j
print(total)
```

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

model answer: 92

correctcode.trace.python-v1conf 100% · 484ms · $0.001 · 1429 tok

question

What does this Python program print?

```python
total = 0
v = 11
while total + v <= 59:
    if v % 3 != 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: 53

correctcode.trace.js-v1conf 100% · 400ms · $0.000 · 556 tok

question

What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7];
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: 108

correctcode.trace.python-v1conf 100% · 413ms · $0.001 · 1571 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 45:
    if v % 6 != 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: 29

correctcode.trace.nested-v1conf 100% · 435ms · $0.001 · 3481 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 171

correctcode.trace.js-v1conf 100% · 538ms · $0.000 · 935 tok

question

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

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
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: 420

correctcode.trace.python-v1conf 100% · 466ms · $0.001 · 1399 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 41:
    if v % 6 != 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: 36

correctcode.trace.nested-v1conf 100% · 458ms · $0.001 · 3424 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 152

correctcode.trace.js-v1conf 100% · 856ms · $0.000 · 555 tok

question

What does this JavaScript program log?

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

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

model answer: 84

correctcode.trace.python-v1conf 100% · 436ms · $0.001 · 2468 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 2
while total + v <= 65:
    if v % 3 != 0:
        total += v
    v += 8
print(total)
```

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

model answer: 38

correctcode.trace.python-v1conf 99% · 494ms · $0.004 · 9188 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 2
while total + v <= 103:
    if v % 4 != 0:
        total += v
    v += 2
print(total)
```

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

model answer: 98

correctcode.trace.nested-v1conf 100% · 431ms · $0.001 · 3306 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 239

correctcode.trace.js-v1conf 100% · 401ms · $0.000 · 408 tok

question

What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9];
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: 30

correctcode.trace.nested-v1conf 100% · 480ms · $0.002 · 6037 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 5 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: 342

correctcode.trace.js-v1conf 100% · 400ms · $0.000 · 911 tok

question

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

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

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

model answer: 108

correctcode.trace.nested-v1conf 100% · 897ms · $0.002 · 4812 tok

question

Trace this Python program exactly. What does it print?

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

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

model answer: 161

correctcode.trace.nested-v1anchorconf 100% · 537ms · $0.004 · 9619 tok

model answer: 283

correctcode.trace.python-v1conf 100% · 484ms · $0.001 · 1798 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 5
while total + v <= 70:
    if v % 6 != 0:
        total += v
    v += 2
print(total)
```

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

model answer: 60

correctcode.trace.js-v1conf 100% · 533ms · $0.000 · 579 tok

question

What does this JavaScript program log?

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

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

model answer: 180

correctcode.trace.python-v1anchorconf 100% · 405ms · $0.001 · 1542 tok

model answer: 0

correctcode.trace.js-v1anchorconf 100% · 403ms · $0.000 · 712 tok

model answer: 63

correctcode.trace.python-v1anchorconf 100% · 538ms · $0.001 · 2187 tok

model answer: 40

instruction following 27/30 correct

correctif.constraints.stack-v1conf 100% · 406ms · $0.002 · 5985 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "orbit" 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: orbit through pale ember faint ember warm ember drifting over empty dark city streets lumen

wrongif.constraints.stack-v1conf 100% · 822ms · $0.001 · 1699 tok

question

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

Give the text itself as your answer.

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

model answer: basalt tide nova wakes nova across quiet shallow coastal waters where small crabs scuttle past smooth flint

wrongif.constraints.stack-v1conf 100% · 478ms · $0.003 · 6799 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "cedar" and the last word must be "ember".
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: cedar reflects prism through prism crisp morning air and soft pale frost coats quiet fence posts warm faint ember

correctif.format.acronym-v1conf 100% · 409ms · $0.001 · 1339 tok

question

Take the second letter of each of these words, in order: lumen, zephyr, falcon, comet, 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: UEAOE

correctif.format.repeat-v1conf 100% · 474ms · $0.000 · 196 tok

question

Write the word "drift" 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: DRIFT-DRIFT-DRIFT

correctif.format.acronym-v1conf 100% · 426ms · $0.001 · 1283 tok

question

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

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

model answer: IIHBLB

correctif.constraints.stack-v1conf 100% · 414ms · $0.003 · 6371 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "quartz" and the last word must be "prism".
3. Use the word "nova" 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 carried nova glow nova haze nova across broad stony plains past mossy stone bridges through quiet forest paths prism

correctif.format.repeat-v1conf 100% · 437ms · $0.000 · 150 tok

question

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

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

model answer: QUARTZ-QUARTZ-QUARTZ-QUARTZ

wrongif.constraints.stack-v1conf 100% · 971ms · $0.001 · 3555 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "falcon" and the last word must be "delta".
3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: falcon flew through orbit past faint orbit near warm orbit over quiet coastal dunes toward sandy bays delta

correctif.format.acronym-v1conf 100% · 410ms · $0.000 · 306 tok

question

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

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

model answer: ODDF

correctif.format.repeat-v1conf 100% · 518ms · $0.000 · 253 tok

question

Write the word "ember" 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: EMBER-EMBER-EMBER-EMBER-EMBER

correctif.format.acronym-v1conf 100% · 477ms · $0.000 · 603 tok

question

Take the third letter of each of these words, in order: echo, basalt, flint, 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: HSIM

correctif.format.repeat-v1conf 100% · 404ms · $0.000 · 360 tok

question

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

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

model answer: tundra/tundra/tundra/tundra/tundra/tundra/tundra/tundra

correctif.format.acronym-v1conf 100% · 399ms · $0.000 · 230 tok

question

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

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

model answer: CFEQ

correctif.format.repeat-v1conf 100% · 413ms · $0.000 · 218 tok

question

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

correctif.constraints.stack-v1conf 100% · 431ms · $0.001 · 2445 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "orbit" and the last word must be "tundra".
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:

orbit above the choppy sea waves slide over smooth basalt and crash against jagged basalt ledges while seabirds glide toward distant frost covered tundra

correctif.constraints.stack-v1conf 100% · 545ms · $0.002 · 4028 tok

question

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

Give the text itself as your answer.

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

model answer:

ember sits gently beside a frozen tundra and another snowy tundra its rusted gears creak softly under the dim pale cold basalt

correctif.format.acronym-v1conf 100% · 521ms · $0.000 · 824 tok

question

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

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

model answer: UAOU

correctif.format.repeat-v1conf 100% · 413ms · $0.000 · 279 tok

question

Write the word "flint" 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: FLINT-FLINT-FLINT-FLINT-FLINT-FLINT-FLINT-FLINT

correctif.format.acronym-v1conf 100% · 428ms · $0.000 · 528 tok

question

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

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

model answer: MURL

correctif.constraints.stack-v1conf 100% · 426ms · $0.003 · 6479 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "cedar" and the last word must be "delta".
3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

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

model answer: cedar i hiked nova across graveled rocky nova trails past ancient oak groves as moonlight filled the wide delta

correctif.format.repeat-v1conf 100% · 458ms · $0.000 · 342 tok

question

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

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

model answer: ember_ember_ember_ember_ember_ember_ember_ember_ember

correctif.constraints.stack-v1conf 100% · 412ms · $0.001 · 3357 tok

question

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

Give the text itself as your answer.

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

model answer:

comet glides over the warm drift of sea winds that drift gently past salt-stained rocks drift until reaching silent sandy bays faint echo

correctif.format.acronym-v1conf 100% · 710ms · $0.000 · 523 tok

question

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

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

model answer: OEPDZ

correctif.format.repeat-v1conf 100% · 452ms · $0.000 · 205 tok

question

Write the word "zephyr" in lowercase 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: zephyr/zephyr/zephyr

correctif.format.repeat-v1anchorconf 100% · 455ms · $0.001 · 1666 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

correctif.format.acronym-v1conf 100% · 425ms · $0.000 · 713 tok

question

Take the second letter of each of these words, in order: echo, delta, ember, quartz, drift, 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: CEMURU

correctif.constraints.stack-v1anchorconf 100% · 407ms · $0.001 · 1279 tok

model answer:

drift past street lamps that spill faint warm lumen across cracked sidewalks where another lumen glows from a nearby lumen and floats toward orbit

correctif.format.repeat-v1anchorconf 100% · 407ms · $0.000 · 346 tok

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

correctif.format.acronym-v1anchorconf 100% · 501ms · $0.000 · 169 tok

model answer: ZDFQ

knowledge 28/30 correct

wrongknowledge.fr.factbank-v2conf 100% · 448ms · $0.001 · 2782 tok

question

Name the capital of Kazakhstan.

Answer with the name only — no explanation.

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

model answer: Nur-Sultan

correctknowledge.fr.factbank-v2conf 100% · 540ms · $0.000 · 635 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% · 442ms · $0.000 · 80 tok

question

What is the capital of Turkey?

Answer with the name only — no explanation.

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

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 562ms · $0.000 · 125 tok

question

Name the element whose symbol is W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 413ms · $0.000 · 90 tok

question

Identify the capital of Canada.

Answer with the name only — no explanation.

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

model answer: Ottawa

correctknowledge.fr.factbank-v2conf 100% · 429ms · $0.000 · 81 tok

question

Identify the chemical element with symbol K.

Answer with the name only — no explanation.

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

model answer: Potassium

correctknowledge.fr.factbank-v2conf 100% · 622ms · $0.000 · 119 tok

question

Name the element whose symbol is W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 707ms · $0.000 · 161 tok

question

Name the chemical element with symbol Hg.

Answer with the name only — no explanation.

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

model answer: mercury

correctknowledge.fr.factbank-v2conf 100% · 482ms · $0.000 · 373 tok

question

Identify the capital of Nigeria.

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 425ms · $0.001 · 3020 tok

question

Name the author of "The Master and Margarita".

Answer with the name only — no explanation.

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

model answer: Mikhail Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 579ms · $0.000 · 87 tok

question

What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

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

model answer: Mercury

correctknowledge.fr.factbank-v2conf 100% · 461ms · $0.000 · 135 tok

question

Identify the capital of Nigeria.

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 764ms · $0.000 · 107 tok

question

Identify the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

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

model answer: Mikhail Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 944ms · $0.000 · 98 tok

question

Identify the capital of Canada.

Answer with the name only — no explanation.

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

model answer: Ottawa

correctknowledge.fr.factbank-v2conf 100% · 405ms · $0.000 · 663 tok

question

Name 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

wrongknowledge.fr.factbank-v2conf 100% · 387ms · $0.001 · 1826 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: Brasilia

correctknowledge.fr.factbank-v2conf 100% · 442ms · $0.000 · 759 tok

question

Identify the Turkish capital city.

Answer with the name only — no explanation.

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

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 463ms · $0.000 · 125 tok

question

What is the capital of Nigeria?

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2conf 100% · 428ms · $0.001 · 1857 tok

question

Name 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% · 402ms · $0.000 · 86 tok

question

What is the chemical element with symbol Sb?

Answer with the name only — no explanation.

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

model answer: antimony

correctknowledge.fr.factbank-v2conf 100% · 415ms · $0.000 · 103 tok

question

Name the chemical element with symbol Sb.

Answer with the name only — no explanation.

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

model answer: antimony

correctknowledge.fr.factbank-v2conf 100% · 419ms · $0.000 · 175 tok

question

Identify 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% · 432ms · $0.000 · 95 tok

question

What is the author of "Things Fall Apart"?

Answer with the name only — no explanation.

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

model answer: Chinua Achebe

correctknowledge.fr.factbank-v2anchorconf 100% · 407ms · $0.001 · 2149 tok

model answer: Antimony

correctknowledge.fr.factbank-v2conf 100% · 401ms · $0.000 · 104 tok

question

Identify the element whose symbol is W.

Answer with the name only — no explanation.

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

model answer: Tungsten

correctknowledge.fr.factbank-v2conf 100% · 392ms · $0.000 · 96 tok

question

What is the element whose symbol is K?

Answer with the name only — no explanation.

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

model answer: Potassium

correctknowledge.fr.factbank-v2conf 100% · 394ms · $0.000 · 202 tok

question

Identify the capital of Nigeria.

Answer with the name only — no explanation.

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

model answer: Abuja

correctknowledge.fr.factbank-v2anchorconf 100% · 603ms · $0.000 · 85 tok

model answer: mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 530ms · $0.000 · 1142 tok

model answer: Lead

correctknowledge.fr.factbank-v2anchorconf 100% · 404ms · $0.000 · 645 tok

model answer: tungsten

math 30/30 correct

correctmath.counterfactual.base-v1conf 100% · 867ms · $0.001 · 2818 tok

question

Work strictly in base 13. Multiply the base-13 numbers 14 and 62. 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: 808

correctmath.chained.pipeline-v1conf 100% · 398ms · $0.000 · 1099 tok

question

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

Step 1: P = 36 × 50.
Step 2: Q = P × 8 − 200.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 2370

correctmath.percent.chain-v2conf 100% · 461ms · $0.000 · 1048 tok

question

An inventory starts at 2000 units. A rival firm shipped 20 unrelated parcels the same week. In the first month the inventory grows by 14%. A rival firm shipped 18 unrelated parcels the same week. The next month it shrinks by 9%, and the month after it grows by 40%. 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: 2904.72

correctmath.arith.chain-v2conf 100% · 560ms · $0.001 · 1839 tok

question

Work out the exact value of this expression.

(((95 × 73 − 281) × 3 + 4195) − 27 × 84) × 5

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

model answer: 109445

correctmath.algebra.system-v2conf 100% · 419ms · $0.000 · 909 tok

question

Solve the system, then answer the derived question.

2x + 2y = 2
6x − 7y = 370

What is the value of 5x − 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: 313

correctmath.chained.pipeline-v1conf 100% · 651ms · $0.000 · 825 tok

question

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

Step 1: P = 88 × 41.
Step 2: Q = P × 5 − 604.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 1940

correctmath.percent.chain-v2conf 100% · 411ms · $0.001 · 2731 tok

question

An inventory starts at 82000 units. The company was founded 119 kilometers from the port. In the first month the inventory grows by 29%. The company was founded 119 kilometers from the port. The next month it shrinks by 29%, and the month after it grows by 17%. 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: 87871.45

correctmath.counterfactual.base-v1conf 100% · 436ms · $0.001 · 2648 tok

question

Work strictly in base 8. Add the base-8 numbers 1023 and 3375. 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: 4420

correctmath.algebra.system-v2conf 100% · 399ms · $0.001 · 1341 tok

question

Solve the system, then answer the derived question.

5x + 8y = -366
6x − 2y = -126

What is the value of 6x − 3y?

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

model answer: -99

correctmath.arith.chain-v2conf 100% · 564ms · $0.001 · 1348 tok

question

Work out the exact value of this expression.

(((32 × 24 − 538) × 6 + 5163) − 62 × 84) × 3

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

model answer: 4005

correctmath.chained.pipeline-v1conf 100% · 529ms · $0.000 · 1166 tok

question

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

Step 1: P = 72 × 75.
Step 2: Q = P × 9 − 492.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 5348

correctmath.counterfactual.base-v1conf 100% · 438ms · $0.001 · 1585 tok

question

Work strictly in base 11. Multiply the base-11 numbers 11 and 38. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

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

model answer: 408

correctmath.percent.chain-v2conf 100% · 934ms · $0.001 · 1968 tok

question

An inventory starts at 2000 units. Each pallet weighs about 40 grams more when wet. In the first month the inventory grows by 23%. A rival firm shipped 116 unrelated parcels the same week. The next month it shrinks by 21%, and the month after it grows by 23%. 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: 2390.38

correctmath.arith.chain-v2conf 100% · 383ms · $0.001 · 2493 tok

question

Calculate the following. Show your reasoning, then answer.

(((87 × 31 − 508) × 6 + 9509) − 90 × 93) × 3

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

model answer: 42819

correctmath.algebra.system-v2conf 100% · 387ms · $0.000 · 1114 tok

question

Solve the system, then answer the derived question.

9x + 7y = -311
6x − 6y = -186

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: -161

correctmath.counterfactual.base-v1conf 100% · 510ms · $0.001 · 2345 tok

question

Work strictly in base 8. Add the base-8 numbers 4634 and 5050. 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: 11704

correctmath.chained.pipeline-v1conf 100% · 569ms · $0.000 · 698 tok

question

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

Step 1: P = 56 × 72.
Step 2: Q = P × 3 − 918.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 2796

correctmath.percent.chain-v2conf 100% · 402ms · $0.001 · 1855 tok

question

An inventory starts at 6000 units. The delivery van has a 149-liter fuel tank. In the first month the inventory grows by 33%. A rival firm shipped 33 unrelated parcels the same week. The next month it shrinks by 21%, and the month after it grows by 35%. 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: 8510.67

correctmath.arith.chain-v2conf 100% · 427ms · $0.001 · 1934 tok

question

Work out the exact value of this expression.

(((61 × 59 − 870) × 7 + 5031) − 56 × 18) × 3

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

model answer: 69378

correctmath.algebra.system-v2conf 100% · 512ms · $0.000 · 767 tok

question

Solve the system, then answer the derived question.

3x + 4y = -25
8x − 3y = -12

What is the value of 2x − 5y?

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

model answer: 14

correctmath.percent.chain-v2conf 100% · 422ms · $0.001 · 2472 tok

question

An inventory starts at 72000 units. The delivery van has a 22-liter fuel tank. In the first month the inventory grows by 31%. Each pallet weighs about 103 grams more when wet. The next month it shrinks by 25%, and the month after it grows by 28%. 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: 90547.2

correctmath.counterfactual.base-v1conf 100% · 496ms · $0.001 · 1776 tok

question

Work strictly in base 13. Add the base-13 numbers 1326 and 1134. 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: 245A

correctmath.chained.pipeline-v1conf 100% · 435ms · $0.000 · 584 tok

question

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

Step 1: P = 62 × 16.
Step 2: Q = P × 3 − 627.
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: 473

correctmath.arith.chain-v2conf 100% · 643ms · $0.001 · 1563 tok

question

Compute the value of the following expression.

(((93 × 60 − 668) × 3 + 4260) − 40 × 52) × 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: 101496

correctmath.algebra.system-v2conf 100% · 480ms · $0.000 · 1051 tok

question

Solve the system, then answer the derived question.

2x + 8y = 108
6x − 9y = -204

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: -98

correctmath.chained.pipeline-v1conf 100% · 451ms · $0.000 · 819 tok

question

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

Step 1: P = 52 × 51.
Step 2: Q = P × 5 − 161.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

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

model answer: 1459

correctmath.percent.chain-v2anchorconf 100% · 399ms · $0.001 · 2748 tok

model answer: 61896.52

correctmath.counterfactual.base-v1anchorconf 100% · 378ms · $0.001 · 1983 tok

model answer: 11236

correctmath.arith.chain-v2anchorconf 100% · 645ms · $0.001 · 1227 tok

model answer: 108153

correctmath.algebra.system-v2anchorconf 100% · 1.3s · $0.000 · 638 tok

model answer: 87

multilingual 27/30 correct

correctmultilingual.wordnum-v1conf 100% · 410ms · $0.000 · 633 tok

question

A number is written in French: « six cent onze ». Another is written in Spanish: « doscientos 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: 407

correctmultilingual.numword-v2conf 100% · 698ms · $0.000 · 802 tok

question

Compute 143 + 131, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: deux cent soixante-quatorze

correctmultilingual.wordnum-v1conf 100% · 433ms · $0.000 · 680 tok

question

A number is written in French: « huit cent quatre-vingt-huit ». Another is written in Spanish: « trescientos 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: 1189

correctmultilingual.wordnum-v1conf 100% · 533ms · $0.000 · 756 tok

question

A number is written in French: « neuf cent trente-neuf ». Another is written in Spanish: « trescientos ochenta 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: 556

correctmultilingual.numword-v2conf 100% · 456ms · $0.000 · 503 tok

question

Compute 392 + 324, 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 seize

correctmultilingual.numword-v2conf 100% · 466ms · $0.000 · 557 tok

question

Compute 459 + 448, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: neuf cent sept

correctmultilingual.wordnum-v1conf 100% · 426ms · $0.000 · 991 tok

question

A number is written in French: « huit cent deux ». Another is written in Spanish: « novecientos noventa y seis ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: -194

wrongmultilingual.numword-v2conf 100% · 461ms · $0.000 · 544 tok

question

Compute 185 + 373, 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 cents cinquante-huit

correctmultilingual.wordnum-v1conf 100% · 438ms · $0.000 · 597 tok

question

A number is written in French: « huit cent douze ». Another is written in Spanish: « setecientos 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: 105

correctmultilingual.numword-v2conf 100% · 409ms · $0.000 · 709 tok

question

Compute 381 + 365, 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 quarante-six

correctmultilingual.wordnum-v1conf 100% · 859ms · $0.000 · 556 tok

question

A number is written in French: « neuf cent onze ». Another is written in Spanish: « doscientos cuarenta 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: 667

correctmultilingual.numword-v2conf 100% · 571ms · $0.000 · 508 tok

question

Compute 69 + 47, 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: cent seize

correctmultilingual.wordnum-v1conf 100% · 540ms · $0.000 · 509 tok

question

A number is written in French: « cinq cent vingt ». Another is written in Spanish: « ochocientos sesenta 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: -342

correctmultilingual.numword-v2conf 100% · 650ms · $0.000 · 678 tok

question

Compute 277 + 251, 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 vingt-huit

correctmultilingual.wordnum-v1conf 100% · 560ms · $0.000 · 443 tok

question

A number is written in French: « soixante et un ». Another is written in Spanish: « ciento cuarenta y siete ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 208

wrongmultilingual.numword-v2conf 100% · 423ms · $0.000 · 318 tok

question

Compute 390 + 72, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: quatre cents soixante-deux

correctmultilingual.wordnum-v1conf 100% · 451ms · $0.000 · 629 tok

question

A number is written in French: « neuf cent trente-sept ». Another is written in Spanish: « cuatrocientos cincuenta 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: 1391

correctmultilingual.numword-v2conf 100% · 410ms · $0.000 · 479 tok

question

Compute 249 + 402, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: six cent cinquante-et-un

correctmultilingual.wordnum-v1conf 100% · 432ms · $0.000 · 791 tok

question

A number is written in French: « cinq cent quarante ». Another is written in Spanish: « quinientos noventa y uno ». Compute (French number) + (Spanish number). Answer with digits only.

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

model answer: 1131

correctmultilingual.numword-v2conf 100% · 768ms · $0.000 · 584 tok

question

Compute 86 + 95, 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: cent quatre-vingt-un

correctmultilingual.wordnum-v1conf 100% · 424ms · $0.000 · 520 tok

question

A number is written in French: « deux cent cinquante-sept ». Another is written in Spanish: « cuatrocientos ochenta 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: 738

correctmultilingual.wordnum-v1conf 100% · 424ms · $0.000 · 861 tok

question

A number is written in French: « six cent soixante-dix-huit ». Another is written in Spanish: « quinientos dieciocho ». Compute (French number) − (Spanish number). Answer with digits only.

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

model answer: 160

correctmultilingual.wordnum-v1conf 100% · 505ms · $0.001 · 1522 tok

question

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

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

model answer: -141

correctmultilingual.numword-v2conf 100% · 438ms · $0.000 · 332 tok

question

Compute 142 + 391, 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 treinta y tres

correctmultilingual.numword-v2conf 100% · 403ms · $0.000 · 658 tok

question

Compute 409 + 133, then write the result out in French number words (lowercase). Answer with the French words only.

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

model answer: cinq cent quarante-deux

wrongmultilingual.numword-v2conf 100% · 421ms · $0.000 · 470 tok

question

Compute 450 + 273, 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 cents vingt-trois

correctmultilingual.wordnum-v1anchorconf 100% · 400ms · $0.000 · 527 tok

model answer: 150

correctmultilingual.numword-v2anchorconf 100% · 394ms · $0.000 · 640 tok

model answer: huit cent soixante-dix-neuf

correctmultilingual.wordnum-v1anchorconf 100% · 497ms · $0.000 · 637 tok

model answer: 762

correctmultilingual.numword-v2anchorconf 100% · 427ms · $0.000 · 411 tok

model answer: seiscientos ocho

reasoning 28/30 correct

correctreasoning.deduction.order-v2conf 100% · 668ms · $0.001 · 2625 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Farah. Chen is older than Nadir. Nadir is older than Jonas. Priya is older than Chen. Chen is older than Goran. Jonas is older than Goran. Nadir is older than Rosa. Farah is older than Jonas. Mona is taller than everyone here, but Mona is not being ranked. Rosa is older than Jonas. 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: Farah

wrongreasoning.deduction.position-v1conf 100% · 528ms · $0.000 · 614 tok

question

Four people stand in a queue (number 1 is the front). Tessa is number 4 in the queue. Chen is directly ahead of Tessa. Hana is directly ahead of Chen. Rosa is directly ahead of Hana. 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: (none extracted)

correctreasoning.deduction.order-v2conf 99% · 414ms · $0.001 · 2107 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Mona. Alice is taller than Sami. Farah is taller than Sami. Bruno is taller than Rosa. Mona is taller than Alice. Mona is taller than Sami. Priya is taller than Mona. Chen is older than everyone here, but Chen is not being ranked. Farah is taller than Bruno. Rosa is taller than Priya. Who is third (rank 3)?

Answer with the name only.

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

model answer: Rosa

correctreasoning.deduction.position-v1conf 100% · 495ms · $0.000 · 445 tok

question

Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Sami. Rosa is number 4 in the queue. Ines is directly ahead of Quinn. Sami is directly ahead of Rosa. Who is number 1?

Answer with the name only.

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

model answer: Ines

correctreasoning.deduction.order-v2conf 100% · 607ms · $0.001 · 1810 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Farah. Mona is heavier than Jonas. Quinn is heavier than Jonas. Liam is heavier than Kira. Kira is heavier than Farah. Quinn is heavier than Mona. Goran is heavier than Quinn. Jonas is heavier than Liam. Sami is older than everyone here, but Sami is not being ranked. Mona is heavier than Liam. 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: Kira

correctreasoning.deduction.position-v1conf 100% · 505ms · $0.000 · 542 tok

question

Four people stand in a queue (number 1 is the front). Dara is number 4 in the queue. Bruno is directly ahead of Tessa. Tessa is directly ahead of Rosa. Rosa is directly ahead of Dara. Who is number 2?

Answer with the name only.

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

model answer: Tessa

correctreasoning.deduction.order-v2conf 100% · 391ms · $0.001 · 1733 tok

question

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

correctreasoning.deduction.position-v1conf 100% · 407ms · $0.000 · 558 tok

question

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

Answer with the name only.

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

model answer: Dara

correctreasoning.deduction.position-v1conf 100% · 984ms · $0.000 · 788 tok

question

Four people stand in a queue (number 1 is the front). Goran is directly ahead of Chen. Sami is number 4 in the queue. Chen is directly ahead of Dara. Dara is directly ahead of Sami. 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: Sami

correctreasoning.deduction.order-v2conf 100% · 523ms · $0.001 · 1419 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Kira. Liam is heavier than Emil. Sami is heavier than Bruno. Liam is heavier than Ola. Farah is heavier than Sami. Bruno is heavier than Liam. Farah is heavier than Bruno. Chen is taller than everyone here, but Chen is not being ranked. Bruno is heavier than Kira. Kira is heavier 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: Bruno

correctreasoning.deduction.order-v2conf 100% · 570ms · $0.001 · 3241 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is taller than everyone here, but Chen is not being ranked. Mona is heavier than Hana. Farah is heavier than Bruno. Mona is heavier than Bruno. Ines is heavier than Tessa. Tessa is heavier than Bruno. Farah is heavier than Emil. Tessa is heavier than Farah. Emil is heavier than Bruno. Hana is heavier than Ines. 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.position-v1conf 100% · 459ms · $0.000 · 1166 tok

question

Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Alice. Ola is number 1 in the queue. Alice is directly ahead of Tessa. 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% · 526ms · $0.002 · 6039 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Mona. Mona is taller than Sami. Goran is taller than Dara. Priya is older than everyone here, but Priya is not being ranked. Dara is taller than Emil. Alice is taller than Dara. Emil is taller than Tessa. Emil is taller than Mona. Goran is taller than Alice. Goran is taller than Tessa. Who is fourth (rank 4)?

Answer with the name only.

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

model answer: Emil

correctreasoning.deduction.order-v2conf 100% · 453ms · $0.001 · 1420 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Priya. Alice is heavier than Ola. Kira is heavier than Hana. Hana is heavier than Alice. Kira is heavier than Alice. Kira is heavier than Ola. Ines is heavier than Priya. Chen is older than everyone here, but Chen is not being ranked. Ola is heavier than Ines. Bruno is heavier than Kira. 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.position-v1conf 100% · 607ms · $0.000 · 288 tok

question

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

Answer with the name only.

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

model answer: Farah

correctreasoning.deduction.position-v1conf 100% · 464ms · $0.000 · 808 tok

question

Four people stand in a queue (number 1 is the front). Bruno is number 4 in the queue. Sami is directly ahead of Bruno. Farah is directly ahead of Ines. Ines is directly ahead of Sami. Who is number 3?

Answer with the name only.

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

model answer: Sami

correctreasoning.deduction.order-v2conf 100% · 538ms · $0.001 · 3530 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Nadir. Alice is older than Tessa. Tessa is older than Rosa. Goran is older than Alice. Nadir is older than Alice. Hana is older than Quinn. Nadir is older than Tessa. Quinn is older than Goran. Ines is heavier than everyone here, but Ines is not being ranked. Hana is older than Alice. 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: Goran

correctreasoning.deduction.position-v1conf 100% · 450ms · $0.000 · 933 tok

question

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

Answer with the name only.

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

model answer: Emil

correctreasoning.deduction.order-v2conf 100% · 497ms · $0.001 · 1808 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is taller than everyone here, but Dara is not being ranked. Sami is heavier than Chen. Emil is heavier than Nadir. Quinn is heavier than Sami. Sami is heavier than Emil. Ola is heavier than Quinn. Sami is heavier than Chen. Emil is heavier than Chen. Goran is heavier than Ola. Chen is heavier 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: Sami

correctreasoning.deduction.position-v1conf 100% · 401ms · $0.000 · 748 tok

question

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

Answer with the name only.

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

model answer: Kira

correctreasoning.deduction.order-v2conf 100% · 405ms · $0.001 · 2377 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Alice. Bruno is heavier than Alice. Alice is heavier than Tessa. Goran is heavier than Emil. Priya is heavier than Goran. Bruno is heavier than Priya. Nadir is faster than everyone here, but Nadir is not being ranked. Liam is heavier than Bruno. Goran is heavier than Tessa. Liam is heavier than Priya. 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: Bruno

correctreasoning.deduction.position-v1conf 100% · 400ms · $0.001 · 1343 tok

question

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

Answer with the name only.

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

model answer: Tessa

correctreasoning.deduction.position-v1conf 100% · 457ms · $0.001 · 1417 tok

question

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

Answer with the name only.

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

model answer: Goran

correctreasoning.deduction.order-v2conf 100% · 432ms · $0.001 · 2423 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Emil is taller than Nadir. Nadir is taller than Jonas. Liam is older than everyone here, but Liam is not being ranked. Emil is taller than Chen. Jonas is taller than Chen. Sami is taller than Emil. Chen is taller than Mona. Mona is taller than Farah. Sami is taller than Nadir. Sami is taller than Jonas. 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: Chen

correctreasoning.deduction.order-v2conf 100% · 550ms · $0.001 · 3119 tok

question

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

correctreasoning.deduction.position-v1conf 100% · 833ms · $0.000 · 453 tok

question

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

Answer with the name only.

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

model answer: Dara

SyntaxError: Unexpected end of JSON inputreasoning.deduction.order-v2anchorconf — · — · — · — tok

model answer: (none extracted)

correctreasoning.deduction.order-v2anchorconf 100% · 496ms · $0.001 · 2741 tok

model answer: Quinn

correctreasoning.deduction.position-v1anchorconf 100% · 452ms · $0.000 · 567 tok

model answer: Quinn

correctreasoning.deduction.position-v1anchorconf 100% · 435ms · $0.000 · 479 tok

model answer: Farah

terminal 30/30 correct

correctterminal.fs.tree-v1conf 99% · 392ms · $0.002 · 4660 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/src`, `/proj/assets`):

```
/proj/build/setup.md
/proj/report.cfg
/proj/src/draft.cfg
/proj/src/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
mv src/draft.cfg src/
mv util.txt assets/
touch index-4.log
mv build/setup.md build/main-8.cfg
mkdir -p build/logs-5
touch build/logs-5/draft-8.txt
mv build/logs-5/draft-8.txt assets/
```

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

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

model answer:

/proj/assets/draft-8.txt
/proj/assets/util.txt
/proj/build/main-8.cfg
/proj/index-4.log
/proj/report.cfg
/proj/src/draft.cfg
/proj/src/notes.md

correctterminal.exit.chain-v1conf 100% · 412ms · $0.001 · 1372 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
D
E
H
Z
exit:0

correctterminal.fs.tree-v1conf 99% · 452ms · $0.002 · 5127 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/logs`):

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

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

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

model answer:

/proj/build/index.md
/proj/build/setup.log
/proj/logs/index.md
/proj/logs/main.cfg
/proj/main-5.log

correctterminal.pipeline.predict-v1conf 100% · 651ms · $0.000 · 731 tok

question

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

```
bo,ops,43,54
ned,legal,29,42
kim,sales,43,42
lou,eng,3,28
oli,hr,27,59
eli,ops,14,85
hal,eng,77,94
cy,ops,93,17
max,ops,74,75
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 40 { 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: 1

correctterminal.exit.chain-v1conf 100% · 407ms · $0.001 · 1203 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 amber notes.txt && echo A || echo B
false && echo C || echo D
test -f ghost.txt && echo E || echo F
test -f app.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

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

model answer:

B
D
F
G
exit:1

correctterminal.pipeline.predict-v1conf 100% · 402ms · $0.001 · 3165 tok

question

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

```
cy,sales,74,24
dev,hr,31,12
ned,eng,32,47
gus,ops,39,92
hal,legal,37,24
kim,legal,45,83
oli,eng,37,25
ivy,ops,31,70
lou,eng,108,28
eli,legal,46,97
jon,sales,92,44
pam,eng,117,85
bo,hr,72,94
fay,eng,11,63
```

What is the EXACT stdout of this command?

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

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

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

model answer:

fay,11
lou,108

correctterminal.fs.tree-v1conf 100% · 549ms · $0.002 · 5780 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/assets`):

```
/proj/assets/notes.md
/proj/assets/util.cfg
/proj/docs/main.cfg
/proj/index.log
/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
rm setup.log
cp assets/notes.md ./
cd .
mv notes.md build/
rm assets/notes.md
mv assets/util.cfg ./
cd build
cp ../../proj/util.cfg ./
```

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

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

model answer:

/proj/build/notes.md
/proj/build/util.cfg
/proj/docs/main.cfg
/proj/index.log
/proj/util.cfg

correctterminal.exit.chain-v1conf 99% · 402ms · $0.001 · 1197 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
C
E
G
Z
exit:0

correctterminal.pipeline.predict-v1conf 100% · 440ms · $0.001 · 2970 tok

question

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

```
gus,eng,115,79
cy,legal,86,87
fay,sales,52,95
jon,ops,6,86
dev,eng,97,25
hal,legal,74,36
kim,ops,24,64
eli,ops,20,54
ana,eng,106,90
```

What is the EXACT stdout of this command?

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

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

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

model answer: fay,sales,52,95

correctterminal.exit.chain-v1conf 100% · 464ms · $0.001 · 1299 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
D
F
exit:1

correctterminal.fs.tree-v1conf 100% · 548ms · $0.002 · 4041 tok

question

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

```
/proj/conf/draft.md
/proj/conf/setup.md
/proj/docs/report.log
/proj/index.md
/proj/main.txt
```

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

```sh
rm conf/draft.md
cd conf
mkdir -p ../../proj/logs/conf-8
cd ../../proj/docs
mv ../../proj/main.txt ../../proj/report-4.txt
touch ../../proj/logs/conf-8/index-4.log
mkdir -p ../../proj/logs/build-5
mkdir -p docs-9
cd .
mv ../../proj/logs/conf-8/index-4.log ../../proj/logs/conf-8/util-3.txt
cp ../../proj/report-4.txt ../../proj/logs/build-5/
cd ../../proj/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/conf/setup.md
/proj/docs/report.log
/proj/index.md
/proj/logs/build-5/report-4.txt
/proj/logs/conf-8/util-3.txt
/proj/report-4.txt

correctterminal.pipeline.predict-v1conf 100% · 419ms · $0.000 · 859 tok

question

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

```
max,hr,114,19
gus,hr,35,58
dev,sales,84,37
pam,ops,46,25
eli,hr,55,54
ned,legal,76,75
oli,sales,48,14
bo,legal,41,47
cy,ops,109,89
fay,hr,35,96
ana,sales,35,62
kim,ops,41,10
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 47 { 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.fs.tree-v1conf 100% · 1.0s · $0.002 · 4997 tok

question

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

```
/proj/assets/main.cfg
/proj/assets/util.md
/proj/docs/draft.cfg
/proj/notes.log
/proj/report.md
```

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

```sh
rm notes.log
cd .
touch conf/util-7.md
touch assets/setup-5.txt
rm report.md
rm assets/setup-5.txt
cd assets
rm ../../proj/conf/util-7.md
cp main.cfg ../../proj/docs/
mv ../../proj/docs/draft.cfg ../../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.cfg
/proj/assets/util.md
/proj/docs/main.cfg
/proj/draft.cfg

correctterminal.exit.chain-v1conf 100% · 419ms · $0.000 · 1030 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

B
D
F
H
Z
exit:0

correctterminal.pipeline.predict-v1conf 100% · 696ms · $0.002 · 3756 tok

question

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

```
lou,ops,20,81
oli,eng,87,43
max,ops,38,19
cy,ops,117,16
ned,ops,11,80
fay,ops,17,70
jon,legal,3,70
dev,sales,105,91
pam,ops,61,55
kim,hr,54,25
```

What is the EXACT stdout of this command?

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

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

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

model answer:

cy,117
fay,17

correctterminal.fs.tree-v1conf 100% · 435ms · $0.001 · 2027 tok

question

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

```
/proj/docs/notes.txt
/proj/docs/report.txt
/proj/main.txt
/proj/setup.txt
/proj/src/util.cfg
```

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

```sh
touch conf/todo-2.txt
rm conf/todo-2.txt
touch conf/report-8.txt
rm setup.txt
cp docs/notes.txt src/
```

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/report-8.txt
/proj/docs/notes.txt
/proj/docs/report.txt
/proj/main.txt
/proj/src/notes.txt
/proj/src/util.cfg

correctterminal.exit.chain-v1conf 100% · 1.0s · $0.000 · 1064 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 basil notes.txt && echo A || echo B
false && echo C || echo D
test -f data.txt && echo E || echo F
test -f app.txt && echo Z
```

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

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

model answer:

B
D
E
Z
exit:0

correctterminal.fs.tree-v1conf 100% · 514ms · $0.002 · 4595 tok

question

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

```
/proj/assets/report.txt
/proj/build/draft.md
/proj/conf/notes.cfg
/proj/todo.md
/proj/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
mv util.md todo-2.md
mkdir -p assets/logs-6
cd build
mkdir -p ../../proj/conf/build-5
cd ../../proj
rm assets/report.txt
cd conf
mkdir -p ../../proj/build/docs-6
mv notes.cfg report-1.log
touch ../../proj/notes-7.md
rm ../../proj/build/draft.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/report-1.log
/proj/notes-7.md
/proj/todo-2.md
/proj/todo.md

correctterminal.pipeline.predict-v1conf 100% · 427ms · $0.001 · 1906 tok

question

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

```
bo,hr,8,54
max,legal,91,36
hal,eng,42,23
cy,ops,3,64
oli,sales,47,84
jon,hr,75,97
lou,eng,93,56
dev,sales,18,25
ivy,hr,114,75
ana,hr,36,64
```

What is the EXACT stdout of this command?

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

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

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

model answer:

dev,18
oli,47

correctterminal.exit.chain-v1conf 100% · 409ms · $0.001 · 1276 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
D
E
exit:1

correctterminal.pipeline.predict-v1conf 100% · 437ms · $0.001 · 1753 tok

question

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

```
eli,legal,81,18
ana,hr,12,98
gus,ops,112,93
cy,eng,76,30
max,hr,103,27
lou,sales,14,31
oli,eng,106,60
pam,legal,36,74
jon,hr,39,69
kim,eng,28,41
bo,legal,113,90
```

What is the EXACT stdout of this command?

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

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

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

model answer:

eli,legal,81,18
bo,legal,113,90

correctterminal.fs.tree-v1conf 100% · 431ms · $0.002 · 3943 tok

question

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

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

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

```sh
mkdir -p conf-7
rm main.log
cp conf/report.log ./
mkdir -p docs/docs-7
mv setup.log conf-7/
cd conf
```

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

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

model answer:

/proj/conf-7/setup.log
/proj/conf/report.log
/proj/report.log
/proj/src/draft.txt
/proj/src/util.log

correctterminal.exit.chain-v1conf 100% · 479ms · $0.001 · 1549 tok

question

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

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

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

These statements run in order:

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

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

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

model answer:

A
D
E
G
Z
exit:0

correctterminal.fs.tree-v1conf 100% · 1.3s · $0.002 · 4633 tok

question

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

```
/proj/assets/setup.txt
/proj/assets/util.md
/proj/conf/report.log
/proj/draft.log
/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
rm conf/report.log
cd conf
mkdir -p assets-3
mv ../../proj/notes.cfg ../../proj/index-3.md
mkdir -p assets-3/docs-6
touch ../../proj/assets/todo-4.log
cd ../../proj
cd conf
```

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

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

model answer:

/proj/assets/setup.txt
/proj/assets/todo-4.log
/proj/assets/util.md
/proj/draft.log
/proj/index-3.md

correctterminal.pipeline.predict-v1conf 100% · 418ms · $0.000 · 1062 tok

question

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

```
fay,eng,79,64
ana,eng,93,52
kim,legal,48,79
cy,eng,67,79
oli,eng,45,95
bo,hr,61,72
lou,ops,35,19
ivy,sales,28,49
eli,eng,54,17
ned,sales,91,31
jon,hr,89,89
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 50 { 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% · 437ms · $0.000 · 1144 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 basil notes.txt && echo A || echo B
grep -q coral notes.txt && echo C || echo D
true && echo E || echo F
test -f ghost.txt && echo G || echo H
test -f app.txt && echo Z
```

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

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

model answer:

A
D
E
H
Z
exit:0

correctterminal.pipeline.predict-v1anchorconf 100% · 476ms · $0.001 · 2388 tok

model answer:

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

correctterminal.fs.tree-v1anchorconf 100% · 474ms · $0.002 · 6114 tok

model answer:

/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfg

correctterminal.exit.chain-v1anchorconf 100% · 462ms · $0.001 · 2615 tok

model answer:

B
D
E
G
exit:1

correctterminal.pipeline.predict-v1anchorconf 100% · 448ms · $0.001 · 1551 tok

model answer: 1

vision ocr 30/30 correct

correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 118 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only.

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

model answer: 187

correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 118 tok

question

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

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

model answer: XN3XATUF

correctvision.ocr.table-read-v1conf 100% · 1.3s · $0.000 · 127 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

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

model answer: 227

correctvision.ocr.code-hunt-v1conf 100% · 1.4s · $0.000 · 73 tok

question

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

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

model answer: K3PUVTW

correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 134 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only.

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

model answer: 148

correctvision.ocr.code-hunt-v1conf 95% · 1.2s · $0.000 · 81 tok

question

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

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

model answer: 9VAKY9

correctvision.ocr.table-read-v1conf 100% · 1.5s · $0.000 · 77 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only.

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

model answer: 58

correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 68 tok

question

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

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

model answer: XNFPDMW

correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 64 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

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

model answer: 45

correctvision.ocr.code-hunt-v1conf 100% · 1.7s · $0.000 · 54 tok

question

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

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

model answer: UYJPJXED

correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 145 tok

question

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

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

model answer: MYEURV7

correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 80 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

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

model answer: 79

correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 126 tok

question

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

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

model answer: F49Y3N

correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 88 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

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

model answer: 64

correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 78 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

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

model answer: 67

correctvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 81 tok

question

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

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

model answer: RRJRXATN

correctvision.ocr.code-hunt-v1conf 100% · 1.5s · $0.000 · 129 tok

question

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

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

model answer: JT3WMMP

correctvision.ocr.table-read-v1conf 100% · 1.2s · $0.000 · 90 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

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

model answer: 84

correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 115 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

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

model answer: 194

correctvision.ocr.code-hunt-v1conf 100% · 1.2s · $0.000 · 91 tok

question

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

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

model answer: 4X3RYNC3

correctvision.ocr.code-hunt-v1conf 100% · 1.8s · $0.000 · 85 tok

question

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

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

model answer: F7MRHFYX

correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 64 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

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

model answer: 41

correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 258 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only.

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

model answer: 55

correctvision.ocr.code-hunt-v1conf 100% · 1.4s · $0.000 · 109 tok

question

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

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

model answer: D497EU7

correctvision.ocr.table-read-v1conf 100% · 1.1s · $0.000 · 64 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only.

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

model answer: 92

correctvision.ocr.code-hunt-v1conf 100% · 1.3s · $0.000 · 70 tok

question

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

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

model answer: TVRPRF

correctvision.ocr.code-hunt-v1anchorconf 100% · 1.4s · $0.000 · 109 tok

model answer: VX7993D

correctvision.ocr.table-read-v1anchorconf 100% · 1.1s · $0.000 · 60 tok

model answer: 15

correctvision.ocr.code-hunt-v1anchorconf 100% · 2.0s · $0.000 · 106 tok

model answer: YH9E4AWP

correctvision.ocr.table-read-v1anchorconf 100% · 1.5s · $0.000 · 65 tok

model answer: 25

Run history

2026-08-05v0.2.0index_fit758
2026-08-05v0.2.0index_fit758
2026-08-05v0.2.0index_fit760
2026-08-05v0.2.0index_fit761
2026-08-05v0.2.0index_fit761
2026-08-05v0.2.0index_fit760
2026-08-05v0.2.0index_fit760
2026-08-05v0.2.0index_fit760
2026-08-05v0.2.0index_fit759
2026-08-05v0.2.0index_fit758
2026-08-05v0.2.0index_fit747
2026-08-05v0.2.0index_fit747
2026-08-05v0.2.0index_fit748
2026-08-05v0.2.0index_fit747
2026-08-05v0.2.0index_fit747
2026-08-05v0.2.0index_fit748
2026-08-05v0.2.0index_fit748
2026-08-05v0.2.0index_fit743
2026-08-05v0.2.0index_fit745
2026-08-05v0.2.0index_fit748

BByteDance Seed: Seed-2.0-Mini

Global Index

Per-domain scores

Every answer, every test

Run history

ByteDance Seed: Seed-2.0-Mini