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anthropic/claude-opus-5 · anthropic · context 1 000 000 · in $5.00/1M · out $25.00/1M

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694

95% CI [648740] · index v0.2.0

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DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic728 [617838]
0.5821.000.930.0193.0s$13.40
code651 [522780]
0.6111.000.990.1542.7s$11.35
instruction following840 [711969]
0.7830.830.950.0003.0s$6.49
knowledge728 [556901]
0.5491.000.990.0002.2s$1.66
math515 [389642]
0.4471.000.970.2312.2s$7.47
multilingual821 [659984]
0.7061.000.980.0002.5s$3.82
reasoning845 [696994]
0.7431.000.990.0001.9s$5.39
terminal400 [347453]
0.1001.000.0002.1s$3.85
vision ocr716 [547886]
0.5341.000.960.0004.4s$5.66

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 22/30 correct
correctagentic.tools.triage-v1conf 92% · 8.0s · $0.013 · 377 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "SSO loop on login" (category: auth, priority 3)
3. "dashboard shows stale numbers" (category: data, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.ledger-v1conf 98% · 2.7s · $0.013 · 384 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: $787
- alpha: $126
- delta: $490

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $135 from "delta" to "tango"
2. pay $429 from "delta" to "alpha"
3. pay $90 from "alpha" to "tango"
4. pay $588 from "tango" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 135}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 74}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 429}}, {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 90}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 588}} ]
wrongagentic.tools.context-load-v1conf · 9.1s · $0.021 · 3 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (215 records, format: id|customer|region|item|qty|status):
```
1629|ember|west|rotor|54|shipped
1084|harbor|south|sensor|82|held
1296|ionic|north|frame|98|paid
1534|ember|north|gasket|25|shipped
1790|ionic|east|pump|12|paid
1731|cobalt|south|cable|87|paid
1286|ionic|north|panel|41|paid
1220|fulton|east|cable|89|held
1697|gale|west|panel|53|held
1254|dorian|west|rotor|26|shipped
1461|ember|east|cable|17|held
1687|harbor|south|panel|94|paid
1442|harbor|south|frame|34|held
1312|harbor|west|panel|37|paid
1341|birch|east|gasket|66|shipped
1298|gale|north|gasket|25|held
1889|juno|east|pump|40|pending
1408|birch|west|frame|11|held
1458|juno|east|gasket|16|paid
1069|harbor|south|rotor|94|shipped
1270|gale|south|cable|19|held
1606|harbor|north|pump|51|paid
1824|fulton|north|frame|17|held
1520|fulton|east|frame|59|shipped
1678|ember|north|gasket|29|shipped
1513|ionic|north|sensor|92|pending
1612|fulton|east|sensor|63|shipped
1396|dorian|west|pump|78|shipped
1863|ember|south|panel|86|pending
1892|harbor|south|cable|30|held
1555|ember|west|panel|94|paid
1407|ionic|west|gasket|93|held
1562|cobalt|south|cable|39|shipped
1466|cobalt|east|valve|84|shipped
1507|cobalt|south|frame|32|pending
1371|acme|east|frame|50|held
1781|ember|north|cable|70|pending
1435|dorian|north|valve|62|held
1214|ionic|north|gasket|42|pending
1654|fulton|north|frame|90|held
1718|cobalt|west|cable|70|shipped
1800|gale|east|gasket|81|held
1827|ionic|east|valve|84|held
1415|harbor|north|rotor|54|shipped
1722|birch|west|rotor|81|shipped
1171|cobalt|east|panel|23|held
1756|juno|south|cable|75|pending
1287|dorian|north|pump|21|shipped
1843|ionic|north|valve|52|pending
1480|acme|south|cable|80|paid
1322|cobalt|north|panel|99|shipped
1422|fulton|south|rotor|41|paid
1193|gale|north|pump|15|paid
1553|harbor|west|rotor|58|shipped
1610|juno|south|gasket|35|held
1470|acme|south|panel|80|held
1353|acme|south|rotor|48|paid
1252|ionic|north|sensor|92|paid
1921|dorian|south|rotor|45|pending
1447|ionic|north|cable|59|paid
1154|dorian|east|sensor|86|shipped
1671|ionic|east|valve|40|shipped
1176|harbor|east|sensor|19|paid
1640|gale|west|pump|47|held
1106|harbor|west|rotor|32|pending
1593|ionic|south|rotor|51|paid
1421|cobalt|south|panel|89|pending
1403|dorian|south|sensor|87|held
1504|juno|south|pump|59|paid
1692|gale|west|panel|88|shipped
1428|juno|east|pump|91|pending
1912|dorian|west|sensor|91|shipped
1137|gale|west|valve|40|shipped
1581|dorian|west|valve|31|shipped
1788|acme|south|cable|12|shipped
1207|cobalt|north|rotor|99|pending
1704|gale|west|pump|16|pending
1157|ember|east|sensor|45|shipped
1600|harbor|north|sensor|56|shipped
1316|juno|west|rotor|18|held
1110|harbor|south|frame|78|paid
1540|juno|west|sensor|95|pending
1486|acme|north|rotor|31|paid
1385|fulton|west|cable|54|paid
1543|dorian|north|panel|41|shipped
1836|cobalt|east|gasket|17|pending
1666|cobalt|south|cable|52|held
1810|dorian|north|sensor|18|paid
1544|birch|west|rotor|32|paid
1898|harbor|east|sensor|49|paid
1430|juno|east|cable|71|pending
1373|birch|west|cable|68|held
1673|ember|south|gasket|65|held
1456|acme|north|rotor|18|held
1918|gale|south|valve|44|held
1856|cobalt|west|rotor|21|paid
1451|harbor|east|cable|56|held
1228|harbor|east|rotor|34|pending
1285|cobalt|east|cable|45|paid
1326|harbor|north|pump|96|shipped
1803|acme|north|valve|89|paid
1656|juno|south|cable|29|paid
1349|fulton|south|rotor|33|paid
1183|acme|east|pump|73|shipped
1496|harbor|south|sensor|56|shipped
1161|ionic|east|rotor|27|held
1622|fulton|east|rotor|53|held
1305|acme|north|gasket|45|pending
1905|birch|west|gasket|15|shipped
1094|harbor|north|rotor|12|pending
1911|fulton|west|cable|24|held
1185|dorian|west|valve|59|pending
1768|juno|south|panel|39|held
1737|acme|west|rotor|99|pending
1661|ember|south|cable|70|pending
1647|ionic|north|cable|82|held
1498|fulton|west|frame|94|shipped
1877|dorian|east|valve|58|shipped
1794|birch|east|valve|56|shipped
1872|dorian|west|valve|64|paid
1297|birch|north|rotor|23|paid
1127|harbor|south|valve|34|shipped
1143|juno|north|panel|97|held
1672|gale|west|sensor|18|held
1491|gale|east|valve|47|paid
1276|juno|north|panel|84|paid
1572|dorian|south|panel|35|shipped
1081|harbor|east|pump|74|pending
1379|gale|north|sensor|66|pending
1263|acme|north|gasket|56|shipped
1272|fulton|south|valve|82|held
1475|ember|north|valve|61|held
1116|harbor|south|panel|86|pending
1345|ionic|north|frame|81|held
1715|birch|south|panel|94|paid
1074|harbor|south|valve|40|pending
1812|ionic|south|panel|61|paid
1771|ember|north|sensor|84|held
1849|gale|north|frame|72|paid
1338|birch|south|frame|19|paid
1342|fulton|north|panel|62|paid
1256|fulton|north|sensor|79|paid
1102|harbor|south|pump|79|pending
1133|ionic|north|frame|59|held
1625|dorian|west|rotor|47|shipped
1501|cobalt|east|rotor|86|pending
1777|juno|east|sensor|74|paid
1561|ember|south|frame|11|held
1833|harbor|north|rotor|21|paid
1331|cobalt|south|sensor|71|held
1148|ember|east|pump|47|held
1360|harbor|south|pump|69|held
1241|birch|north|frame|87|held
1747|ember|north|sensor|73|paid
1319|dorian|south|panel|46|shipped
1474|dorian|south|panel|93|held
1488|gale|west|rotor|84|pending
1636|gale|north|pump|23|held
1366|birch|south|frame|51|paid
1789|harbor|west|sensor|40|shipped
1530|gale|east|valve|81|pending
1226|juno|east|frame|31|paid
1617|acme|west|pump|49|paid
1723|gale|west|valve|68|held
1567|harbor|south|frame|35|shipped
1487|juno|north|sensor|98|held
1089|harbor|south|valve|98|pending
1444|acme|south|rotor|81|pending
1120|harbor|west|frame|88|pending
1389|ember|west|valve|59|held
1188|ember|south|gasket|86|paid
1545|fulton|north|panel|96|paid
1167|dorian|north|pump|42|paid
1099|harbor|south|gasket|47|held
1346|cobalt|south|panel|32|shipped
1465|acme|west|cable|79|paid
1419|ionic|north|frame|23|paid
1550|dorian|west|valve|85|pending
1289|acme|east|rotor|89|shipped
1473|ember|east|sensor|45|shipped
1169|juno|east|pump|73|held
1066|harbor|west|gasket|50|pending
1574|harbor|south|cable|98|pending
1405|fulton|east|gasket|23|shipped
1440|cobalt|west|frame|55|paid
1882|birch|east|valve|24|held
1646|ionic|east|rotor|19|shipped
1128|harbor|east|sensor|55|held
1529|birch|west|rotor|83|held
1246|ember|west|panel|99|shipped
1762|ember|north|sensor|52|pending
1925|gale|east|cable|67|shipped
1866|birch|south|sensor|70|paid
1729|juno|north|gasket|98|held
1061|harbor|south|frame|60|pending
1709|juno|west|gasket|37|pending
1743|acme|south|frame|22|paid
1818|juno|north|sensor|59|held
1565|ember|west|pump|82|pending
1324|juno|east|frame|53|pending
1906|gale|north|frame|98|pending
1752|birch|north|pump|54|held
1235|ember|west|pump|85|paid
1280|birch|west|valve|37|held
1301|cobalt|south|panel|65|paid
1746|juno|west|pump|94|shipped
1524|dorian|west|gasket|81|pending
1505|dorian|north|valve|50|held
1587|dorian|east|frame|77|held
1173|birch|south|rotor|22|held
1200|juno|east|valve|27|held
1682|fulton|south|cable|12|pending
1149|juno|south|valve|67|pending
1311|acme|south|sensor|61|shipped
1537|harbor|north|cable|51|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.ledger-v1conf 98% · 7.8s · $0.013 · 396 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- delta: $515
- bravo: $607
- oscar: $233

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $476 from "bravo" to "oscar"
2. pay $116 from "oscar" to "delta"
3. pay $452 from "bravo" to "oscar"
4. pay $380 from "oscar" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 476}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 116}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 321}}, {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 452}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 380}} ]
correctagentic.tools.deploy-v1conf 92% · 2.5s · $0.008 · 216 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: auth-svc
- search: reports
- auth-svc: (none)
- billing: auth-svc

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}} ]
wrongagentic.tools.context-load-v1conf · 8.1s · $0.017 · 4 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 (176 records, format: id|customer|region|item|qty|status):
```
2056|dorian|south|valve|11|pending
1990|ionic|east|pump|24|paid
1934|juno|south|pump|62|shipped
1622|ionic|east|valve|51|held
1645|acme|east|frame|58|paid
1422|juno|west|rotor|56|pending
1429|juno|south|rotor|56|held
1557|ionic|west|pump|37|held
2073|juno|east|sensor|76|held
2089|harbor|east|cable|12|paid
1490|juno|east|panel|80|paid
1861|harbor|west|pump|41|held
1634|acme|west|pump|55|shipped
1937|ionic|south|rotor|11|held
1472|ionic|east|frame|85|paid
1864|ember|south|rotor|26|held
1951|cobalt|west|gasket|36|held
1926|juno|west|pump|77|shipped
1487|fulton|south|sensor|20|paid
1778|birch|west|frame|79|held
2063|ember|north|sensor|20|pending
2091|acme|south|cable|84|pending
1437|juno|south|panel|19|held
1678|dorian|east|panel|23|shipped
1556|dorian|east|rotor|28|shipped
1541|fulton|south|sensor|69|paid
1561|gale|north|pump|47|held
1849|gale|east|rotor|69|pending
1805|cobalt|south|gasket|23|shipped
1459|dorian|east|rotor|43|shipped
1532|dorian|north|panel|94|paid
1632|fulton|west|rotor|80|pending
1844|birch|east|valve|48|shipped
1910|ionic|north|sensor|47|held
1441|juno|south|cable|97|pending
1445|juno|south|rotor|31|held
1819|ionic|north|cable|48|pending
1631|ember|north|gasket|74|held
1712|ember|south|valve|31|paid
1602|dorian|east|rotor|22|pending
1833|cobalt|south|sensor|53|shipped
1762|acme|west|rotor|17|held
2076|fulton|east|frame|78|pending
1544|gale|north|frame|39|shipped
1917|gale|east|gasket|34|shipped
1958|acme|south|valve|47|pending
2100|ionic|north|gasket|36|paid
1771|ionic|east|frame|34|shipped
1675|ember|north|sensor|31|pending
2068|acme|west|pump|91|paid
2043|dorian|west|gasket|98|pending
1520|gale|south|valve|27|pending
1736|gale|south|frame|82|shipped
1571|dorian|east|sensor|81|shipped
1434|juno|east|rotor|57|pending
1897|birch|west|sensor|96|shipped
1938|juno|south|cable|82|shipped
1928|acme|south|frame|55|shipped
1857|ember|west|sensor|98|paid
1768|birch|east|gasket|18|paid
1851|ember|east|pump|57|held
1749|fulton|east|gasket|10|shipped
1813|acme|north|panel|67|shipped
1945|harbor|south|panel|90|held
1986|ionic|west|valve|36|shipped
1443|juno|north|cable|57|pending
1955|ionic|west|pump|60|pending
1748|fulton|west|gasket|63|paid
1547|harbor|west|sensor|19|paid
1888|gale|south|panel|51|held
1948|cobalt|east|panel|38|shipped
1798|fulton|south|sensor|97|paid
1759|harbor|south|valve|32|held
1575|acme|east|frame|87|shipped
1626|harbor|south|sensor|30|shipped
1724|juno|south|sensor|65|held
1513|ionic|west|pump|62|pending
1553|cobalt|north|sensor|94|shipped
1733|harbor|north|valve|49|held
1872|juno|west|sensor|37|shipped
1848|juno|north|panel|26|shipped
1590|birch|south|cable|63|paid
1975|ionic|west|rotor|85|shipped
1508|cobalt|east|valve|62|held
2005|fulton|east|frame|84|paid
1583|fulton|north|cable|78|shipped
1944|acme|west|gasket|64|paid
1881|dorian|west|gasket|72|pending
1457|juno|south|sensor|19|paid
1742|birch|east|sensor|15|pending
1565|harbor|west|rotor|92|paid
1686|fulton|east|rotor|40|pending
1785|ionic|east|panel|32|shipped
1614|birch|west|pump|64|shipped
1618|acme|east|gasket|88|shipped
2012|fulton|west|rotor|93|pending
1874|gale|east|cable|50|held
1664|gale|north|cable|21|pending
1854|fulton|north|valve|31|paid
2069|harbor|north|cable|10|paid
1709|cobalt|east|rotor|46|held
2019|gale|south|panel|84|paid
1598|birch|east|cable|13|pending
1636|dorian|south|frame|54|held
1890|acme|east|cable|47|held
1868|acme|east|rotor|50|shipped
1827|dorian|west|sensor|53|held
1482|cobalt|west|pump|73|pending
1769|birch|west|panel|68|shipped
2080|gale|north|pump|57|paid
1924|ember|south|gasket|55|shipped
1693|ember|south|panel|95|shipped
1893|birch|south|frame|43|shipped
2083|birch|north|pump|68|shipped
1702|harbor|west|valve|25|pending
1904|harbor|west|rotor|23|pending
1961|gale|west|panel|41|paid
1837|acme|north|sensor|40|paid
1527|birch|north|gasket|24|pending
2097|fulton|south|pump|86|paid
2029|fulton|west|cable|35|pending
2037|cobalt|west|frame|78|shipped
1981|acme|east|rotor|17|held
1599|ionic|east|gasket|66|shipped
1696|ionic|west|cable|20|paid
2074|dorian|east|sensor|35|held
1580|fulton|north|sensor|81|shipped
1729|juno|south|pump|70|pending
2109|juno|west|gasket|51|shipped
2036|juno|east|gasket|11|pending
2023|ember|south|cable|41|shipped
1667|ionic|north|pump|98|shipped
1982|harbor|west|rotor|65|shipped
1714|dorian|west|sensor|91|held
1503|acme|north|frame|10|paid
1792|birch|west|panel|57|shipped
1717|harbor|west|gasket|74|paid
1810|cobalt|south|rotor|49|paid
1430|juno|south|panel|53|pending
1650|fulton|east|pump|82|held
1496|ember|east|panel|19|pending
2104|juno|north|rotor|69|paid
1971|acme|north|cable|74|shipped
1997|acme|north|frame|15|pending
1815|ionic|west|valve|18|paid
1466|harbor|north|sensor|11|shipped
1420|juno|south|valve|50|pending
1446|juno|south|gasket|17|pending
1609|ember|east|frame|83|paid
1879|birch|south|valve|80|pending
1597|ionic|north|valve|75|paid
1959|gale|west|gasket|80|held
1475|cobalt|east|gasket|58|held
1641|harbor|north|panel|89|shipped
1747|juno|south|gasket|84|held
2006|ionic|north|frame|62|held
1887|dorian|south|gasket|91|paid
1450|juno|north|cable|15|pending
1680|ember|north|frame|50|pending
1604|juno|west|frame|22|held
1651|dorian|south|frame|54|held
1658|fulton|south|panel|68|paid
1738|dorian|east|frame|97|paid
1998|birch|west|panel|71|pending
2017|acme|south|pump|35|shipped
1668|fulton|west|sensor|73|pending
1992|acme|north|pump|47|held
1967|cobalt|east|cable|17|paid
1972|cobalt|east|valve|17|paid
1966|cobalt|south|sensor|32|shipped
1536|dorian|north|cable|40|shipped
1755|birch|north|gasket|56|held
2050|dorian|east|panel|86|held
1577|gale|south|gasket|32|held
1821|fulton|east|sensor|44|shipped
1523|dorian|west|pump|64|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 69, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.triage-v1conf 96% · 3.3s · $0.011 · 294 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 9)
2. "records missing after import" (category: data, priority 5)
3. "cannot reset password" (category: auth, 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": "cannot reset password", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.deploy-v1conf 92% · 1.1s · $0.008 · 238 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.triage-v1conf 92% · 1.3s · $0.011 · 295 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "export file corrupted" (category: data, priority 8)
3. "cannot reset password" (category: auth, priority 6)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.context-load-v1conf · 3.4s · $0.023 · 3 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 (243 records, format: id|customer|region|item|qty|status):
```
1675|gale|west|panel|76|held
1824|juno|east|frame|94|pending
1744|juno|west|frame|61|pending
1755|dorian|south|sensor|59|pending
2399|cobalt|south|panel|15|pending
1926|juno|west|gasket|86|pending
2175|juno|east|valve|90|paid
2335|gale|west|panel|50|pending
2299|cobalt|north|panel|14|held
2384|dorian|south|gasket|62|held
1844|cobalt|west|cable|25|paid
1681|cobalt|south|frame|95|pending
2112|ember|south|frame|89|held
2295|harbor|west|rotor|74|pending
1615|gale|north|cable|78|pending
2278|fulton|east|frame|37|shipped
2365|ember|west|gasket|19|held
1977|ionic|east|gasket|64|pending
2148|fulton|east|cable|24|paid
1770|cobalt|east|pump|53|held
1773|juno|east|rotor|74|shipped
2180|dorian|east|rotor|75|paid
1587|birch|east|panel|24|shipped
1519|acme|north|panel|53|pending
1691|dorian|east|sensor|61|pending
2316|birch|south|gasket|14|shipped
1962|dorian|north|valve|52|shipped
1489|acme|west|pump|93|pending
1634|dorian|east|rotor|87|shipped
1542|harbor|north|panel|60|shipped
2363|harbor|south|cable|74|shipped
2095|acme|south|pump|29|shipped
1482|acme|east|valve|41|pending
1973|harbor|east|rotor|51|pending
2111|dorian|north|panel|26|held
2140|acme|north|valve|56|paid
1663|ember|north|pump|48|shipped
2237|gale|south|pump|56|paid
1778|gale|south|pump|63|held
2184|gale|north|rotor|86|pending
2122|harbor|west|rotor|90|pending
1717|cobalt|west|cable|68|paid
1718|harbor|west|panel|68|pending
1549|ionic|east|sensor|62|pending
2051|dorian|west|pump|98|held
2041|birch|south|cable|19|paid
1931|harbor|west|pump|93|shipped
1697|acme|north|panel|85|held
1475|acme|south|sensor|72|pending
2252|harbor|west|rotor|46|pending
2204|cobalt|north|pump|19|held
2036|ember|south|pump|29|shipped
2401|harbor|east|sensor|38|paid
2388|cobalt|south|panel|38|held
1703|ionic|east|gasket|31|held
1639|cobalt|west|valve|18|shipped
1671|birch|west|sensor|34|shipped
2091|fulton|east|panel|36|held
1537|fulton|east|panel|59|paid
1969|birch|west|valve|95|pending
2284|ionic|north|gasket|50|shipped
1792|ionic|west|panel|56|paid
1979|cobalt|west|valve|59|held
2014|juno|east|valve|57|shipped
2258|harbor|south|panel|80|paid
2376|ionic|north|frame|33|held
1903|cobalt|west|valve|56|paid
2233|ionic|east|sensor|26|paid
2319|juno|west|gasket|92|held
1680|cobalt|north|pump|78|held
1829|juno|east|frame|69|pending
1552|birch|south|sensor|72|pending
1865|cobalt|north|panel|94|pending
1868|birch|north|pump|24|shipped
2226|gale|south|rotor|36|shipped
1573|dorian|north|rotor|57|shipped
2206|ionic|north|pump|80|held
1910|juno|east|valve|58|held
1595|fulton|south|pump|93|held
2060|ionic|east|gasket|78|shipped
2272|fulton|south|frame|50|pending
2418|gale|west|sensor|10|pending
2353|harbor|south|sensor|58|shipped
1822|dorian|north|cable|82|held
1529|dorian|north|cable|47|paid
2254|fulton|north|sensor|26|held
2387|ionic|south|sensor|47|held
1502|acme|south|pump|13|pending
1496|acme|south|pump|29|held
1581|acme|south|valve|86|shipped
2329|juno|west|sensor|69|paid
2067|ionic|east|valve|34|held
1905|harbor|north|rotor|58|paid
1557|harbor|north|cable|62|pending
1513|acme|south|frame|11|pending
1785|acme|north|panel|72|paid
1626|juno|west|cable|29|held
1589|harbor|south|sensor|47|pending
2010|juno|north|rotor|68|held
2407|birch|north|gasket|75|paid
1677|juno|south|valve|62|pending
2389|cobalt|south|pump|67|paid
2009|ionic|south|rotor|80|pending
2291|fulton|north|gasket|50|pending
2346|acme|east|panel|12|held
1771|birch|west|gasket|45|paid
2057|cobalt|east|cable|57|pending
1881|harbor|east|pump|22|paid
1575|ember|south|gasket|48|shipped
1724|ionic|west|rotor|56|held
2396|ember|west|gasket|44|held
1731|gale|north|sensor|87|pending
2336|cobalt|north|frame|87|held
2424|harbor|west|gasket|87|held
1564|cobalt|south|cable|10|paid
2163|harbor|south|panel|49|held
2191|juno|east|gasket|91|paid
1826|cobalt|west|rotor|15|shipped
1737|fulton|east|frame|74|pending
2195|harbor|south|rotor|77|held
2133|ember|north|valve|62|pending
1485|acme|south|rotor|40|shipped
2031|gale|east|cable|73|held
1708|birch|south|cable|18|held
1836|cobalt|south|rotor|46|pending
2320|acme|east|cable|95|paid
2058|fulton|west|pump|56|pending
1767|dorian|west|panel|63|pending
2398|harbor|west|valve|12|paid
2169|acme|east|pump|27|pending
1748|gale|north|rotor|46|held
1874|ember|west|gasket|27|held
2126|fulton|east|rotor|94|paid
1917|dorian|south|sensor|19|paid
1756|dorian|south|frame|40|pending
1536|acme|south|valve|65|paid
2017|juno|south|frame|75|paid
2088|fulton|east|panel|80|paid
1750|gale|west|rotor|67|pending
1567|gale|north|frame|95|held
1952|dorian|west|rotor|10|pending
1670|dorian|north|cable|79|shipped
2201|acme|east|rotor|87|held
2343|cobalt|east|panel|34|shipped
2023|acme|west|pump|61|pending
2028|birch|south|gasket|30|held
1487|acme|south|panel|29|pending
2364|cobalt|west|valve|39|pending
1621|acme|south|pump|47|paid
1743|cobalt|east|frame|83|pending
1698|fulton|east|frame|82|paid
1945|fulton|south|cable|50|held
2085|harbor|east|pump|57|paid
1904|harbor|north|cable|25|shipped
1956|acme|east|pump|88|held
1793|ionic|east|sensor|60|shipped
2162|ionic|east|frame|47|held
2185|gale|west|valve|34|pending
2004|ember|west|cable|61|pending
2037|ionic|west|rotor|60|paid
1925|acme|south|panel|73|held
2265|cobalt|east|frame|53|pending
2047|cobalt|east|panel|36|paid
1800|acme|north|sensor|49|shipped
2242|fulton|west|cable|87|held
1867|acme|east|gasket|86|held
2078|ember|north|panel|49|paid
2240|harbor|south|gasket|39|paid
2213|acme|north|panel|88|shipped
1510|acme|south|pump|77|paid
1646|ember|east|valve|31|held
1597|birch|west|cable|48|paid
1858|fulton|west|frame|72|held
1934|harbor|east|valve|56|pending
2182|ember|west|pump|42|paid
1761|birch|south|gasket|43|held
1982|cobalt|east|pump|89|shipped
2145|harbor|east|gasket|71|pending
2220|dorian|west|gasket|28|paid
2074|ionic|north|sensor|37|held
1736|birch|north|gasket|49|held
1889|harbor|south|rotor|56|pending
1841|acme|south|frame|84|pending
1601|gale|east|rotor|25|held
1734|acme|west|frame|73|held
1984|harbor|north|cable|24|pending
2276|ionic|east|gasket|23|held
1653|birch|west|panel|30|held
1846|ionic|west|frame|56|shipped
1990|ember|north|gasket|99|shipped
2309|gale|west|cable|60|paid
1794|dorian|west|gasket|57|paid
1659|ember|south|frame|51|pending
1728|birch|west|cable|31|pending
2116|harbor|east|pump|56|paid
1780|juno|north|gasket|96|pending
1608|ionic|south|sensor|67|paid
2282|dorian|south|rotor|69|shipped
2390|juno|south|valve|98|shipped
2380|birch|north|valve|64|pending
1815|birch|south|frame|81|held
2340|ionic|north|panel|25|shipped
2224|fulton|east|sensor|84|shipped
1997|acme|east|panel|71|shipped
1509|acme|north|gasket|19|pending
2154|gale|east|sensor|56|pending
1783|birch|north|valve|16|held
1802|gale|north|frame|42|pending
1726|juno|south|rotor|68|shipped
2013|ionic|south|rotor|10|paid
2125|acme|east|frame|91|held
1591|gale|west|rotor|89|paid
2369|acme|north|valve|88|shipped
1970|ember|south|rotor|70|paid
1994|harbor|east|cable|34|shipped
2412|ember|north|frame|56|pending
2156|harbor|east|frame|42|pending
2076|gale|north|sensor|23|held
1526|acme|south|valve|50|held
2055|cobalt|south|panel|86|pending
1579|harbor|north|cable|90|paid
2245|ionic|east|rotor|10|paid
1896|cobalt|north|cable|27|pending
2357|gale|east|pump|31|pending
2105|ionic|west|gasket|70|shipped
2063|birch|south|rotor|28|shipped
2323|acme|west|valve|23|paid
2100|cobalt|south|pump|69|shipped
1620|birch|east|frame|11|paid
1891|fulton|north|frame|53|held
1853|ember|east|frame|92|held
1652|ember|north|gasket|26|shipped
1642|harbor|south|valve|70|shipped
1964|dorian|east|sensor|12|shipped
1882|gale|north|gasket|67|pending
1809|fulton|south|pump|17|pending
2075|ember|west|frame|28|shipped
1941|ember|south|rotor|21|shipped
1688|birch|south|pump|96|paid
1921|cobalt|east|cable|34|shipped
1711|fulton|west|rotor|39|held
1632|harbor|north|rotor|11|shipped
2302|dorian|north|valve|80|held
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf · 1.1s · $0.003 · 2 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $756
- kilo: $491
- delta: $431

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $567 from "kilo" to "delta"
2. pay $182 from "kilo" to "delta"
3. pay $116 from "kilo" to "delta"
4. pay $449 from "lima" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.deploy-v1conf 92% · 1.4s · $0.008 · 210 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: gateway, notifier
- gateway: (none)
- reports: gateway, notifier
- 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 "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": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 98% · 1.6s · $0.013 · 394 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: $696
- oscar: $741
- kilo: $585

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $485 from "kilo" to "tango"
2. pay $588 from "oscar" to "tango"
3. pay $303 from "tango" to "oscar"
4. pay $590 from "kilo" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 485}}, {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 588}}, {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 303}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 490}}, {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 590}} ]
correctagentic.tools.ledger-v1conf 96% · 10.0s · $0.014 · 412 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: $172
- bravo: $765
- alpha: $137

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $550 from "bravo" to "tango"
2. pay $341 from "tango" to "alpha"
3. pay $118 from "tango" to "alpha"
4. pay $477 from "alpha" to "bravo"
5. pay $371 from "bravo" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 550}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 341}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 118}}, {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 477}}, {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 371}} ]
correctagentic.tools.triage-v1conf 92% · 1.3s · $0.010 · 266 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 4)
2. "SSO loop on login" (category: auth, priority 5)
3. "invoice total wrong" (category: payments, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 4}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.context-load-v1conf · 3.0s · $0.016 · 3 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 (159 records, format: id|customer|region|item|qty|status):
```
1117|gale|north|pump|32|pending
1582|harbor|south|frame|38|held
1542|dorian|south|gasket|96|held
1084|juno|east|cable|77|held
1195|dorian|west|gasket|64|held
1121|ember|west|gasket|61|shipped
1571|cobalt|south|gasket|65|shipped
1598|dorian|east|gasket|39|paid
1132|ember|south|rotor|26|paid
1360|harbor|west|frame|69|paid
1104|harbor|north|valve|33|pending
1210|birch|north|pump|88|pending
1666|juno|south|pump|44|held
1301|birch|east|frame|56|paid
1439|harbor|west|frame|80|pending
1090|juno|east|cable|12|pending
1352|acme|north|panel|65|pending
1521|dorian|west|frame|80|held
1656|gale|east|valve|22|pending
1315|acme|west|panel|68|held
1483|dorian|south|valve|20|pending
1111|fulton|west|sensor|15|pending
1168|cobalt|east|panel|33|pending
1584|ionic|south|gasket|60|pending
1611|juno|west|panel|36|pending
1563|ember|south|frame|49|held
1601|harbor|north|pump|12|shipped
1595|gale|west|gasket|10|shipped
1383|ionic|east|frame|97|paid
1644|dorian|south|frame|36|pending
1153|acme|south|cable|81|pending
1264|fulton|west|cable|28|paid
1575|juno|north|cable|24|held
1249|juno|south|gasket|51|pending
1254|juno|west|valve|34|held
1490|juno|east|gasket|82|shipped
1314|fulton|south|sensor|95|paid
1620|birch|east|gasket|92|paid
1230|ember|east|pump|75|pending
1416|cobalt|west|panel|60|shipped
1289|ember|south|frame|74|shipped
1498|gale|north|cable|26|pending
1185|gale|west|cable|94|shipped
1414|cobalt|west|gasket|23|pending
1562|ionic|west|rotor|91|paid
1080|juno|west|panel|26|pending
1355|ember|west|panel|37|shipped
1270|ember|south|pump|78|shipped
1388|harbor|east|sensor|14|held
1569|ember|north|rotor|92|shipped
1476|ionic|east|panel|29|held
1484|ember|north|gasket|61|held
1451|fulton|west|frame|60|shipped
1529|acme|east|frame|84|pending
1167|fulton|south|pump|60|shipped
1055|juno|south|frame|68|pending
1275|acme|west|rotor|86|pending
1629|birch|south|cable|83|paid
1299|juno|south|frame|91|paid
1456|dorian|north|sensor|20|shipped
1139|birch|east|gasket|79|held
1512|ionic|north|frame|72|pending
1510|gale|west|pump|69|shipped
1293|gale|west|frame|14|paid
1553|gale|south|cable|53|shipped
1453|dorian|north|pump|56|paid
1120|fulton|west|sensor|64|shipped
1479|juno|east|cable|37|shipped
1279|birch|east|sensor|65|shipped
1640|acme|north|pump|70|shipped
1156|fulton|east|gasket|80|shipped
1260|fulton|south|valve|60|held
1181|birch|east|valve|44|paid
1492|gale|north|valve|81|paid
1226|cobalt|north|gasket|62|paid
1163|dorian|north|rotor|90|held
1208|juno|south|sensor|78|held
1240|ember|east|frame|45|paid
1197|fulton|west|cable|32|pending
1528|ionic|north|rotor|69|shipped
1295|dorian|north|frame|44|held
1202|juno|west|cable|33|shipped
1108|ionic|north|cable|28|paid
1339|ember|west|valve|53|held
1308|juno|south|panel|58|paid
1602|ionic|south|cable|28|shipped
1432|cobalt|east|cable|13|pending
1635|dorian|south|cable|82|shipped
1370|acme|east|valve|76|held
1146|acme|north|frame|83|held
1561|gale|east|gasket|19|shipped
1505|harbor|east|frame|71|pending
1095|juno|east|rotor|42|paid
1107|acme|west|frame|22|held
1216|gale|east|sensor|91|held
1393|gale|west|gasket|28|held
1454|fulton|south|sensor|42|pending
1313|birch|south|rotor|13|pending
1174|fulton|north|panel|26|pending
1617|harbor|north|valve|85|paid
1191|acme|east|pump|81|pending
1078|juno|east|sensor|61|pending
1423|juno|west|gasket|41|shipped
1604|gale|west|sensor|87|held
1243|dorian|east|valve|93|shipped
1303|fulton|south|frame|18|paid
1436|ionic|south|cable|67|paid
1586|gale|south|panel|57|paid
1050|juno|east|sensor|86|pending
1547|ember|north|pump|23|pending
1374|harbor|west|cable|10|shipped
1274|gale|south|panel|57|shipped
1109|ember|east|valve|95|held
1446|harbor|west|cable|46|held
1546|juno|west|sensor|93|paid
1286|juno|west|cable|29|shipped
1066|juno|south|panel|56|pending
1324|birch|south|cable|57|pending
1058|juno|east|cable|46|held
1589|gale|north|gasket|32|pending
1469|cobalt|south|cable|56|paid
1349|harbor|west|rotor|98|pending
1624|ionic|east|sensor|66|held
1330|juno|north|sensor|65|paid
1662|dorian|north|gasket|55|pending
1556|birch|east|panel|37|held
1322|fulton|west|sensor|75|held
1103|ember|east|rotor|29|held
1093|juno|south|rotor|44|pending
1221|cobalt|east|cable|45|held
1463|birch|west|gasket|98|shipped
1375|ionic|south|pump|97|held
1515|juno|west|frame|45|pending
1622|birch|west|cable|46|held
1396|birch|west|rotor|80|shipped
1649|juno|west|cable|48|held
1538|cobalt|east|panel|34|shipped
1126|gale|south|frame|74|shipped
1381|ionic|north|frame|19|held
1059|juno|east|valve|77|pending
1448|ionic|north|rotor|88|held
1193|ionic|east|valve|66|paid
1402|dorian|east|cable|87|shipped
1176|acme|north|frame|71|pending
1531|gale|south|rotor|82|shipped
1124|harbor|south|sensor|40|pending
1362|acme|north|pump|72|held
1366|juno|north|sensor|74|shipped
1119|juno|east|gasket|36|paid
1425|fulton|north|pump|47|paid
1291|ionic|west|pump|29|paid
1408|dorian|south|cable|16|held
1343|acme|north|gasket|74|pending
1525|dorian|east|sensor|82|shipped
1235|dorian|east|pump|99|held
1071|juno|east|valve|56|held
1410|acme|west|rotor|38|pending
1332|harbor|north|gasket|75|pending
1096|juno|west|rotor|60|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.deploy-v1conf 92% · 1.7s · $0.010 · 299 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.triage-v1conf 92% · 1.4s · $0.014 · 395 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "export file corrupted" (category: data, priority 2)
2. "uploads failing intermittently" (category: infra, priority 9)
3. "uploads failing intermittently" (category: infra, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
wrongagentic.tools.context-load-v1conf · 3.5s · $0.021 · 3 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 (214 records, format: id|customer|region|item|qty|status):
```
1354|dorian|south|panel|71|shipped
1407|ionic|south|panel|65|shipped
1421|birch|east|frame|23|shipped
1834|harbor|west|rotor|93|paid
1992|birch|west|frame|15|pending
1302|acme|north|cable|96|held
1835|gale|south|frame|62|paid
1247|harbor|west|pump|25|paid
1487|juno|west|gasket|92|held
1280|birch|west|gasket|53|shipped
2025|fulton|west|rotor|61|shipped
1985|ionic|south|pump|98|held
2018|cobalt|east|sensor|52|shipped
1714|ember|south|pump|14|paid
1688|cobalt|north|gasket|83|held
1636|ionic|north|sensor|48|shipped
1432|acme|north|valve|88|shipped
1492|acme|north|pump|13|held
1762|ember|west|rotor|97|paid
1210|dorian|north|gasket|44|pending
1351|ionic|north|pump|28|held
1643|ember|east|frame|71|pending
1583|birch|east|frame|79|paid
1891|cobalt|east|gasket|61|paid
1670|ember|east|sensor|73|pending
1832|cobalt|west|rotor|87|paid
1748|birch|north|valve|91|shipped
1329|ionic|east|frame|52|paid
1497|fulton|north|cable|91|held
1530|fulton|north|gasket|58|shipped
1233|dorian|north|pump|10|pending
1554|ionic|north|gasket|39|pending
1459|fulton|west|valve|37|shipped
1414|cobalt|south|rotor|92|held
1535|harbor|south|panel|95|paid
1382|fulton|east|pump|39|shipped
1702|ionic|west|sensor|78|shipped
2013|cobalt|south|pump|19|shipped
1232|dorian|south|frame|68|pending
1707|harbor|south|pump|53|paid
1223|dorian|east|frame|27|pending
1874|gale|south|frame|27|held
1310|acme|north|sensor|57|held
1788|birch|south|rotor|29|held
1348|fulton|west|pump|36|paid
1367|cobalt|east|pump|52|paid
1885|fulton|north|sensor|25|shipped
1971|ember|west|valve|66|pending
1652|harbor|west|panel|34|pending
1405|dorian|north|frame|81|pending
1385|ionic|north|sensor|14|held
1379|fulton|north|pump|48|pending
1315|birch|east|pump|12|pending
1242|dorian|east|gasket|93|held
1774|cobalt|north|frame|82|pending
1570|acme|west|pump|52|held
1585|gale|north|valve|96|pending
1207|dorian|south|valve|69|pending
1690|juno|east|pump|55|shipped
1598|ionic|south|cable|29|pending
1915|gale|north|frame|35|pending
1894|dorian|north|panel|38|held
1591|dorian|east|valve|69|shipped
1837|ionic|south|frame|81|paid
1448|cobalt|west|pump|14|pending
1999|juno|south|rotor|51|paid
1556|fulton|west|frame|47|held
1798|acme|east|pump|18|shipped
1380|dorian|east|rotor|64|held
1815|harbor|south|valve|44|paid
1402|birch|west|frame|43|shipped
1913|acme|south|panel|21|shipped
1743|fulton|west|rotor|32|pending
1360|birch|east|frame|87|pending
1528|ionic|east|cable|31|paid
1660|acme|east|sensor|60|shipped
1372|fulton|east|gasket|39|shipped
1936|harbor|east|cable|42|shipped
1319|birch|east|frame|95|shipped
1653|cobalt|east|frame|83|pending
1677|harbor|east|valve|18|paid
1957|acme|east|rotor|31|paid
1503|acme|north|sensor|93|paid
1442|ember|north|pump|41|pending
1867|juno|west|gasket|38|paid
1357|ember|west|rotor|53|paid
1927|gale|south|panel|11|paid
1962|cobalt|south|valve|86|shipped
1862|ionic|north|frame|97|pending
1453|harbor|north|rotor|34|paid
1259|harbor|south|frame|90|paid
1609|juno|south|cable|48|held
1540|ionic|east|gasket|20|held
1493|ember|south|cable|81|pending
1782|dorian|south|rotor|39|pending
1976|gale|north|gasket|61|paid
1665|birch|south|cable|78|held
1522|ionic|east|pump|63|held
1444|ember|west|sensor|92|paid
1393|birch|south|panel|19|paid
1563|cobalt|north|valve|65|shipped
1193|dorian|south|cable|30|pending
1333|acme|south|sensor|98|pending
1225|dorian|south|pump|80|paid
1321|dorian|north|gasket|64|shipped
1624|harbor|west|panel|90|held
1515|birch|west|rotor|66|paid
2043|birch|south|pump|89|shipped
1617|birch|south|panel|27|held
1219|dorian|south|pump|26|pending
1980|dorian|south|sensor|77|pending
1466|fulton|west|panel|10|shipped
1290|dorian|east|sensor|67|paid
1827|ember|east|pump|73|held
1203|dorian|south|pump|92|paid
1959|dorian|east|valve|96|shipped
1654|cobalt|north|rotor|39|paid
1681|dorian|west|cable|21|pending
1736|cobalt|east|gasket|99|shipped
1519|harbor|east|valve|52|held
1682|fulton|east|pump|76|pending
1793|juno|north|cable|94|held
1455|gale|south|panel|88|pending
1875|juno|east|gasket|63|shipped
1343|fulton|north|panel|47|pending
1907|fulton|east|gasket|40|shipped
1952|ionic|east|gasket|26|pending
1549|fulton|east|sensor|19|pending
1900|ionic|north|valve|56|shipped
1806|fulton|east|frame|34|pending
1934|gale|north|sensor|25|shipped
1824|harbor|north|cable|97|held
1509|fulton|west|sensor|37|pending
1428|harbor|north|panel|63|paid
1938|acme|south|sensor|41|held
1542|gale|west|pump|86|paid
1287|fulton|south|rotor|59|paid
1611|gale|east|pump|59|paid
1692|ember|south|pump|99|paid
1778|fulton|south|rotor|48|shipped
2011|fulton|west|sensor|32|held
1879|birch|south|panel|49|held
1754|harbor|south|panel|91|held
1979|cobalt|west|sensor|14|shipped
1631|gale|south|rotor|29|pending
1945|birch|south|valve|19|pending
1916|gale|east|cable|79|pending
1257|dorian|west|panel|18|held
1308|dorian|south|valve|87|paid
1948|dorian|south|frame|45|held
1334|dorian|south|pump|67|held
1577|fulton|west|valve|54|held
1657|cobalt|south|frame|35|shipped
1460|harbor|west|gasket|81|shipped
2035|fulton|south|frame|19|held
1650|ionic|north|pump|53|paid
2047|dorian|east|sensor|33|held
1684|dorian|north|frame|57|held
1697|dorian|east|gasket|49|paid
1435|juno|north|sensor|63|held
1846|dorian|west|gasket|74|shipped
1989|cobalt|east|sensor|75|paid
1831|dorian|south|rotor|95|paid
1755|birch|east|rotor|47|shipped
1399|dorian|west|sensor|66|paid
1342|birch|west|cable|30|shipped
1236|dorian|south|rotor|53|paid
1239|dorian|south|frame|12|paid
1844|birch|north|cable|11|pending
2040|ionic|north|valve|33|paid
1941|ember|west|pump|64|shipped
1252|juno|north|sensor|21|pending
1668|birch|north|valve|22|pending
1723|dorian|west|pump|45|pending
1324|birch|south|sensor|76|pending
1860|ember|north|frame|36|pending
1521|ionic|south|rotor|55|shipped
1560|harbor|south|sensor|13|held
1579|birch|east|pump|23|held
1613|juno|north|pump|77|pending
1297|fulton|west|valve|51|pending
1568|dorian|south|sensor|38|paid
1813|cobalt|north|rotor|85|pending
1197|dorian|west|valve|31|pending
1537|gale|south|frame|47|paid
1335|gale|north|panel|38|held
1277|ember|west|sensor|16|shipped
1261|ionic|east|sensor|26|shipped
1966|ember|east|sensor|69|pending
2031|cobalt|east|pump|74|pending
1922|dorian|west|gasket|20|held
1391|acme|north|frame|32|held
1768|gale|north|frame|25|paid
1264|acme|south|rotor|95|pending
1642|acme|west|sensor|31|shipped
1956|acme|west|pump|10|held
1800|juno|north|frame|29|held
2006|birch|north|gasket|28|held
1476|acme|south|frame|55|held
1853|juno|west|panel|87|shipped
1480|juno|south|pump|14|shipped
1471|gale|east|frame|34|pending
1555|harbor|west|panel|30|paid
1605|juno|west|panel|64|paid
1629|cobalt|west|valve|46|held
1496|gale|west|panel|95|paid
1729|birch|north|valve|55|shipped
1871|birch|east|rotor|70|paid
1719|gale|east|pump|46|paid
1273|juno|east|rotor|35|paid
1217|dorian|south|rotor|74|shipped
1819|juno|west|sensor|57|paid
1899|harbor|north|pump|11|pending
1267|acme|east|cable|69|paid
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.deploy-v1conf 92% · 1.7s · $0.008 · 219 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
correctagentic.tools.ledger-v1conf 96% · 2.8s · $0.019 · 611 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- oscar: $239
- bravo: $774
- alpha: $484

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $372 from "bravo" to "alpha"
2. pay $480 from "oscar" to "alpha"
3. pay $302 from "oscar" to "bravo"
4. pay $243 from "oscar" to "alpha"
5. pay $158 from "oscar" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 372}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 241}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 480}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 302}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 302}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 243}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 243}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 158}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 158}} ]
correctagentic.tools.triage-v1conf 72% · 2.2s · $0.021 · 705 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 4)
2. "export file corrupted" (category: data, priority 3)
3. "export file corrupted" (category: data, priority 3)
4. "cannot reset password" (category: auth, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}} ]
correctagentic.tools.deploy-v1conf 92% · 9.3s · $0.007 · 200 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "search"}} ]
wrongagentic.tools.context-load-v1conf · 4.3s · $0.015 · 4 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (144 records, format: id|customer|region|item|qty|status):
```
1196|ionic|north|valve|16|shipped
1691|juno|north|valve|69|shipped
1300|birch|east|cable|32|held
1350|fulton|west|gasket|81|paid
1471|acme|north|rotor|86|held
1260|acme|west|gasket|28|paid
1352|dorian|west|cable|40|shipped
1339|ionic|east|gasket|50|held
1501|ionic|north|pump|77|held
1298|birch|east|valve|45|shipped
1273|fulton|west|valve|43|shipped
1490|fulton|south|valve|44|paid
1347|ember|south|frame|79|pending
1366|ionic|east|rotor|95|held
1183|ionic|north|rotor|88|held
1355|fulton|west|gasket|16|paid
1625|ember|east|rotor|80|held
1398|dorian|north|pump|13|shipped
1305|juno|north|valve|19|paid
1707|cobalt|west|rotor|41|paid
1442|gale|west|gasket|10|pending
1327|acme|east|cable|42|shipped
1170|ionic|north|panel|19|held
1545|juno|north|pump|35|paid
1666|birch|south|sensor|11|shipped
1563|harbor|north|pump|86|held
1311|dorian|east|cable|41|held
1508|birch|north|sensor|45|shipped
1221|ember|east|rotor|34|shipped
1450|birch|west|panel|46|held
1227|dorian|east|cable|69|pending
1631|ionic|west|frame|92|pending
1600|ionic|south|valve|75|held
1636|ionic|east|cable|20|pending
1598|ember|west|panel|94|held
1687|cobalt|east|frame|50|pending
1736|birch|south|sensor|46|pending
1215|acme|east|rotor|53|shipped
1445|fulton|north|valve|59|pending
1521|gale|west|gasket|92|pending
1277|gale|north|panel|53|shipped
1269|fulton|south|cable|22|paid
1266|fulton|west|sensor|91|shipped
1721|birch|north|cable|18|paid
1463|juno|east|sensor|83|pending
1702|birch|north|gasket|14|pending
1542|birch|west|panel|83|held
1681|ember|south|valve|15|shipped
1535|fulton|south|panel|95|held
1500|juno|west|rotor|41|pending
1362|juno|north|valve|90|held
1287|ionic|north|cable|31|pending
1556|harbor|north|valve|61|pending
1201|ionic|north|panel|69|paid
1199|ionic|east|valve|23|pending
1635|birch|east|panel|80|pending
1346|gale|north|gasket|32|held
1459|fulton|east|rotor|20|pending
1497|ember|west|gasket|15|paid
1244|birch|south|frame|11|paid
1614|acme|east|sensor|57|paid
1406|ember|north|valve|35|held
1186|ionic|north|frame|90|pending
1236|ember|south|sensor|72|paid
1208|cobalt|east|gasket|54|paid
1357|harbor|east|valve|30|held
1176|ionic|north|sensor|53|pending
1733|juno|south|gasket|66|shipped
1246|ember|south|gasket|85|held
1514|cobalt|south|panel|50|paid
1447|juno|west|rotor|19|pending
1415|dorian|south|cable|89|shipped
1649|acme|west|rotor|35|paid
1359|dorian|north|valve|25|held
1432|birch|west|frame|86|paid
1383|cobalt|east|valve|31|held
1177|ionic|west|gasket|89|pending
1436|birch|east|valve|42|paid
1425|cobalt|north|sensor|77|paid
1360|acme|south|gasket|41|paid
1679|fulton|west|frame|27|held
1372|ionic|north|valve|84|held
1388|ionic|south|valve|36|held
1529|dorian|east|gasket|96|held
1420|juno|east|pump|97|held
1424|dorian|east|frame|69|paid
1610|gale|west|pump|16|shipped
1568|gale|south|gasket|47|pending
1288|gale|west|sensor|72|pending
1551|dorian|south|panel|15|held
1484|dorian|south|sensor|50|paid
1468|gale|west|rotor|46|paid
1157|ionic|north|sensor|14|pending
1234|dorian|south|rotor|37|held
1294|ember|west|gasket|54|held
1250|ember|west|panel|43|shipped
1312|cobalt|east|rotor|77|pending
1606|dorian|north|cable|95|held
1164|ionic|west|cable|51|pending
1532|gale|east|gasket|45|shipped
1537|acme|east|rotor|21|shipped
1411|cobalt|south|rotor|33|shipped
1452|harbor|west|cable|57|held
1461|fulton|north|pump|65|held
1282|ionic|east|pump|30|paid
1478|acme|north|panel|77|held
1565|cobalt|south|frame|67|pending
1591|ember|south|sensor|56|pending
1589|gale|east|cable|62|pending
1392|cobalt|east|cable|88|pending
1659|acme|east|panel|83|pending
1475|acme|east|cable|52|held
1498|ionic|west|sensor|80|shipped
1675|acme|south|cable|36|paid
1639|ember|south|cable|30|pending
1595|gale|south|valve|61|paid
1727|birch|south|frame|89|shipped
1671|juno|west|rotor|17|pending
1462|ember|west|cable|23|shipped
1332|dorian|east|frame|92|pending
1320|ember|west|panel|86|paid
1577|dorian|west|cable|42|pending
1621|cobalt|east|sensor|18|shipped
1198|ionic|north|rotor|51|pending
1400|acme|west|gasket|95|held
1714|gale|north|frame|44|pending
1472|dorian|north|rotor|53|shipped
1394|ionic|north|pump|96|paid
1479|harbor|east|sensor|69|held
1486|fulton|south|rotor|65|pending
1240|gale|west|rotor|49|pending
1698|birch|west|panel|78|paid
1655|ember|east|sensor|28|paid
1692|juno|east|gasket|89|shipped
1642|acme|west|rotor|10|shipped
1255|fulton|east|valve|39|shipped
1319|ember|west|panel|81|held
1378|gale|west|panel|34|paid
1528|ember|north|cable|95|pending
1583|ember|east|sensor|97|held
1700|acme|west|pump|89|pending
1575|gale|east|panel|58|shipped
1191|ionic|west|pump|48|pending
1203|acme|east|panel|58|paid
```

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 > 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: (none extracted)
correctagentic.tools.ledger-v1conf 97% · 1.8s · $0.017 · 532 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: $198
- oscar: $384
- kilo: $807

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $514 from "kilo" to "oscar"
2. pay $586 from "oscar" to "echo"
3. pay $556 from "kilo" to "oscar"
4. pay $276 from "kilo" to "echo"
5. pay $439 from "echo" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 514}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 586}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 263}}, {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 556}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 276}}, {"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 276}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 439}} ]
correctagentic.tools.triage-v1conf 92% · 4.7s · $0.010 · 266 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 → novak
- payments → silva
- auth → chen

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 4)
2. "refund double-charged" (category: payments, priority 2)
3. "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": "dashboard shows stale numbers", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
wrongagentic.tools.context-load-v1anchorconf · 9.0s · $0.019 · 3 tok
model answer: (none extracted)
correctagentic.tools.deploy-v1anchorconf 92% · 3.1s · $0.009 · 250 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 92% · 4.2s · $0.016 · 472 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 96% · 1.7s · $0.016 · 511 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 26/30 correct
correctcode.trace.nested-v1conf 99% · 7.3s · $0.020 · 770 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 * 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: 212
correctcode.trace.js-v1conf 99% · 7.9s · $0.006 · 186 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 15
correctcode.trace.js-v1conf 100% · 3.7s · $0.009 · 329 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 184
wrongcode.trace.python-v1conf · 5.7s · $0.001 · 2 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 12
while total + v <= 75:
    if v % 3 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.python-v1conf 99% · 7.7s · $0.014 · 526 tok
question
What does this Python program print?

```python
total = 0
v = 3
while total + v <= 81:
    if v % 7 != 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: 45
correctcode.trace.nested-v1conf 99% · 4.9s · $0.014 · 537 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 116
correctcode.trace.js-v1conf 100% · 1.9s · $0.008 · 284 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [4, 5, 6, 7, 8, 9];
const out = arr
  .map(n => n * 7)
  .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: 35
correctcode.trace.nested-v1conf 99% · 1.8s · $0.021 · 819 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 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: 187
correctcode.trace.python-v1conf 99% · 2.7s · $0.018 · 693 tok
question
What does this Python program print?

```python
total = 0
v = 7
while total + v <= 118:
    if v % 6 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 112
correctcode.trace.js-v1conf 99% · 1.2s · $0.011 · 394 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 168
correctcode.trace.nested-v1conf 99% · 1.9s · $0.017 · 643 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 90
correctcode.trace.python-v1conf 100% · 1.5s · $0.010 · 384 tok
question
What does this Python program print?

```python
total = 0
v = 15
while total + v <= 88:
    if v % 4 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 69
correctcode.trace.js-v1conf 99% · 1.2s · $0.007 · 234 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 510
wrongcode.trace.nested-v1conf · 1.3s · $0.004 · 108 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: (none extracted)
correctcode.trace.python-v1conf 99% · 1.2s · $0.011 · 412 tok
question
What does this Python program print?

```python
total = 0
v = 11
while total + v <= 69:
    if v % 4 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 57
correctcode.trace.nested-v1conf 100% · 2.5s · $0.018 · 666 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84
correctcode.trace.js-v1conf 99% · 2.0s · $0.009 · 312 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84
correctcode.trace.python-v1conf 99% · 3.3s · $0.010 · 388 tok
question
What does this Python program print?

```python
total = 0
v = 12
while total + v <= 70:
    if v % 6 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 0
correctcode.trace.js-v1conf 99% · 2.4s · $0.009 · 301 tok
question
What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 132
correctcode.trace.python-v1conf 100% · 5.5s · $0.012 · 467 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 10
while total + v <= 95:
    if v % 6 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 76
wrongcode.trace.nested-v1conf · 1.5s · $0.004 · 132 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.js-v1conf 100% · 9.2s · $0.010 · 354 tok
question
What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
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
wrongcode.trace.nested-v1conf · 8.6s · $0.001 · 2 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.python-v1conf 100% · 3.7s · $0.011 · 399 tok
question
What does this Python program print?

```python
total = 0
v = 8
while total + v <= 42:
    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: 32
correctcode.trace.js-v1conf 100% · 2.9s · $0.010 · 351 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 378
correctcode.trace.python-v1anchorconf 99% · 3.9s · $0.013 · 481 tok
model answer: 0
correctcode.trace.nested-v1conf 99% · 1.5s · $0.022 · 824 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.nested-v1anchorconf 99% · 4.6s · $0.022 · 859 tok
model answer: 283
correctcode.trace.js-v1anchorconf 99% · 2.1s · $0.009 · 311 tok
model answer: 63
correctcode.trace.python-v1anchorconf 99% · 2.1s · $0.011 · 400 tok
model answer: 40
instruction following 30/30 correct
correctif.constraints.stack-v1conf 92% · 7.6s · $0.014 · 535 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "delta" and the last word must be "basalt".
3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: delta turbines rust, falcon gears, falcon pistons, falcon bearings, all silent now beneath moss, oil, dust, and basalt
correctif.format.acronym-v1conf 99% · 4.4s · $0.003 · 86 tok
question
Take the first letter of each of these words, in order: tundra, ember, prism, 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: TEPL
correctif.constraints.stack-v1conf 96% · 5.0s · $0.012 · 439 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "nova" and the last word must be "drift".
3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova sailed past ember suns, past ember moons, past cold islands of silence, and then let her weary sails simply drift
correctif.format.repeat-v1conf 99% · 2.2s · $0.002 · 64 tok
question
Write the word "echo" 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: echo/echo/echo
correctif.format.acronym-v1conf 99% · 7.8s · $0.006 · 193 tok
question
Take the third letter of each of these words, in order: zephyr, basalt, orbit, tundra, echo, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PSBNHI
correctif.constraints.stack-v1conf 92% · 7.7s · $0.011 · 411 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "nova" and the last word must be "echo".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova walked west for months, past quartz cliffs and quartz rivers, carrying only bread, water, hope, and one very faint remembered echo
correctif.format.repeat-v1conf 99% · 1.8s · $0.005 · 185 tok
question
Write the word "zephyr" in lowercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr/zephyr/zephyr/zephyr/zephyr/zephyr/zephyr
correctif.format.acronym-v1conf 99% · 3.2s · $0.004 · 135 tok
question
Take the third letter of each of these words, in order: tundra, orbit, cedar, drift, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NBDIM
correctif.constraints.stack-v1conf 88% · 7.7s · $0.014 · 498 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "comet" and the last word must be "falcon".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet light drips over nova avenue, nova windows blaze, nova traffic hums below, midnight glides past like a falcon
correctif.format.repeat-v1conf 99% · 2.0s · $0.007 · 255 tok
question
Write the word "tundra" in lowercase form, repeated exactly 9 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra_tundra_tundra_tundra_tundra_tundra_tundra_tundra_tundra
correctif.format.acronym-v1conf 99% · 3.9s · $0.003 · 111 tok
question
Take the first letter of each of these words, in order: delta, echo, prism, zephyr, nova, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DEPZNC
correctif.constraints.stack-v1conf 92% · 1.1s · $0.012 · 423 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "lumen" and the last word must be "cedar".
3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: lumen drifts over tidewater; echo answers echo beneath salt waves, an echo wrapped in cedar
correctif.format.repeat-v1conf 82% · 1.1s · $0.005 · 160 tok
question
Write the word "nova" 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: Nova_Nova_Nova_Nova_Nova
correctif.format.repeat-v1conf 99% · 1.2s · $0.003 · 104 tok
question
Write the word "prism" in lowercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism_prism_prism_prism_prism_prism
correctif.format.acronym-v1conf 99% · 1.4s · $0.004 · 114 tok
question
Take the first letter of each of these words, in order: falcon, tundra, lumen, nova, cedar, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FTLNCD
correctif.format.repeat-v1conf 82% · 10.1s · $0.006 · 210 tok
question
Write the word "flint" 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: Flint-Flint-Flint-Flint-Flint
correctif.constraints.stack-v1conf 92% · 1.5s · $0.010 · 349 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "quartz" and the last word must be "nova".
3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "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 foam glitters where one comet fell, and another comet burned above the tide, salt water holding light like a drowned nova
correctif.format.acronym-v1conf 99% · 1.4s · $0.003 · 102 tok
question
Take the first letter of each of these words, in order: tundra, drift, echo, zephyr, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: TDEZC
correctif.constraints.stack-v1conf 92% · 2.0s · $0.009 · 331 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "falcon" and the last word must be "drift".
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: falcon flew past nova station, then beyond nova belt, wandering endless nights, crossing cold silence, hunting warm light, following the starlit drift
correctif.format.acronym-v1conf 99% · 3.0s · $0.003 · 98 tok
question
Take the first letter of each of these words, in order: quartz, prism, lumen, echo. 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: QPLE
correctif.format.repeat-v1conf 99% · 4.3s · $0.003 · 104 tok
question
Write the word "lumen" 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: LUMEN/LUMEN/LUMEN/LUMEN
correctif.constraints.stack-v1conf 92% · 2.4s · $0.009 · 333 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "quartz" and the last word must be "falcon".
3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz towers glimmer above the cold tundra of asphalt, a windswept tundra where neon hums, watching one silent falcon
correctif.format.repeat-v1conf 99% · 10.0s · $0.003 · 104 tok
question
Write the word "drift" in lowercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: drift/drift/drift/drift/drift/drift
correctif.format.acronym-v1conf 99% · 3.5s · $0.003 · 96 tok
question
Take the first letter of each of these words, in order: zephyr, tundra, nova, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ZTNO
correctif.constraints.stack-v1conf 95% · 1.7s · $0.010 · 374 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "zephyr" and the last word must be "comet".
3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr drifted through the cedar mill, where an old machine slumbered beneath cedar beams, rusting slowly like a fallen comet
correctif.constraints.stack-v1anchorconf 92% · 7.1s · $0.011 · 383 tok
model answer: drift above the sleeping city: one lumen blooms, then another lumen hums, a third lumen fades while taxis trace slow rivers around midnight's orbit
correctif.format.acronym-v1conf 99% · 2.8s · $0.003 · 97 tok
question
Take the first letter of each of these words, in order: lumen, ember, orbit, tundra, echo. 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: LEOTE
correctif.format.repeat-v1anchorconf 82% · 2.4s · $0.007 · 248 tok
model answer: Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echo
correctif.format.repeat-v1anchorconf 99% · 3.5s · $0.005 · 177 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 99% · 2.3s · $0.003 · 93 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.001 · 23 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 99% · 1.5s · $0.001 · 28 tok
question
Identify the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 97% · 1.2s · $0.002 · 64 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 99% · 1.2s · $0.002 · 40 tok
question
What is the element whose symbol is Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 27 tok
question
What is the chemical element with symbol Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 99% · 1.1s · $0.002 · 46 tok
question
Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 99% · 2.8s · $0.002 · 45 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
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 24 tok
question
Identify the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 99% · 1.2s · $0.001 · 33 tok
question
What is the Swiss capital (de facto)?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 2.6s · $0.001 · 27 tok
question
Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 99% · 1.3s · $0.001 · 29 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
correctknowledge.fr.factbank-v2conf 99% · 2.2s · $0.001 · 36 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 95% · 2.6s · $0.003 · 94 tok
question
Identify the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 99% · 2.2s · $0.001 · 36 tok
question
Name the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 99% · 2.9s · $0.002 · 43 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% · 1.7s · $0.001 · 29 tok
question
What is the capital of Australia?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 97% · 2.9s · $0.002 · 64 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: Astana
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.001 · 29 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 99% · 3.2s · $0.004 · 122 tok
question
What is the writer of the novel "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 99% · 3.1s · $0.001 · 33 tok
question
Name the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 99% · 7.9s · $0.002 · 39 tok
question
What is the element whose symbol is W?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 8.0s · $0.001 · 29 tok
question
What is the capital of Brazil?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 99% · 1.7s · $0.002 · 68 tok
question
Identify the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 99% · 3.7s · $0.002 · 39 tok
question
Name the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 99% · 1.8s · $0.002 · 68 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 92% · 2.5s · $0.003 · 111 tok
question
Identify the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2anchorconf 100% · 2.0s · $0.001 · 24 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 99% · 2.1s · $0.002 · 41 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 99% · 3.3s · $0.001 · 29 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 2.2s · $0.001 · 23 tok
model answer: Lead
math 24/30 correct
wrongmath.chained.pipeline-v1conf · 3.8s · $0.001 · 2 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 14 × 18.
Step 2: Q = P × 7 − 696.
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: (none extracted)
correctmath.percent.chain-v2conf 99% · 7.8s · $0.005 · 144 tok
question
An inventory starts at 10000 units. Each pallet weighs about 80 grams more when wet. In the first month the inventory grows by 7%. The company was founded 105 kilometers from the port. The next month it shrinks by 25%, and the month after it grows by 45%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 11636.25
correctmath.counterfactual.base-v1conf 99% · 3.1s · $0.012 · 452 tok
question
Work strictly in base 7. Multiply the base-7 numbers 102 and 32. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3264
wrongmath.chained.pipeline-v1conf · 7.8s · $0.001 · 2 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 14 × 12.
Step 2: Q = P × 8 − 987.
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: (none extracted)
correctmath.algebra.system-v2conf 99% · 1.9s · $0.010 · 383 tok
question
Solve the system, then answer the derived question.

8x + 9y = -123
6x − 8y = 424

What is the value of 6x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 319
correctmath.arith.chain-v2conf 99% · 3.0s · $0.007 · 244 tok
question
Compute the value of the following expression.

(((93 × 58 − 122) × 9 + 8945) − 72 × 72) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 358463
wrongmath.counterfactual.base-v1conf · 1.2s · $0.006 · 232 tok
question
Work strictly in base 13. Multiply the base-13 numbers 20 and 12. 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: (none extracted)
correctmath.percent.chain-v2conf 88% · 1.1s · $0.012 · 440 tok
question
An inventory starts at 77000 units. The warehouse was painted 109 years ago. In the first month the inventory grows by 27%. The company was founded 142 kilometers from the port. The next month it shrinks by 39%, and the month after it grows by 39%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 82916.14
correctmath.algebra.system-v2conf 99% · 1.4s · $0.008 · 296 tok
question
Solve the system, then answer the derived question.

2x + 6y = -262
5x − 6y = 38

What is the value of 6x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -126
correctmath.arith.chain-v2conf 99% · 1.1s · $0.007 · 243 tok
question
Work out the exact value of this expression.

(((38 × 85 − 635) × 3 + 3869) − 12 × 40) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 78218
correctmath.counterfactual.base-v1conf 99% · 1.2s · $0.013 · 478 tok
question
Work strictly in base 8. Add the base-8 numbers 4477 and 1735. 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: 6434
wrongmath.chained.pipeline-v1conf · 1.2s · $0.001 · 2 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 77 × 61.
Step 2: Q = P × 3 − 353.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctmath.percent.chain-v2conf 95% · 1.4s · $0.011 · 400 tok
question
An inventory starts at 31000 units. The delivery van has a 14-liter fuel tank. In the first month the inventory grows by 29%. The company was founded 89 kilometers from the port. The next month it shrinks by 29%, 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: 34923.27
correctmath.algebra.system-v2conf 99% · 1.3s · $0.009 · 320 tok
question
Solve the system, then answer the derived question.

8x + 8y = 344
6x − 5y = 126

What is the value of 3x − 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: 33
wrongmath.chained.pipeline-v1conf · 10.0s · $0.001 · 2 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 69 × 83.
Step 2: Q = P × 6 − 575.
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: (none extracted)
correctmath.arith.chain-v2conf 99% · 2.2s · $0.007 · 240 tok
question
Compute the value of the following expression.

(((52 × 39 − 221) × 9 + 7467) − 24 × 34) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 91656
correctmath.counterfactual.base-v1conf 99% · 1.4s · $0.013 · 512 tok
question
Work strictly in base 11. Multiply the base-11 numbers 36 and 23. 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: 807
correctmath.algebra.system-v2conf 99% · 5.5s · $0.009 · 332 tok
question
Solve the system, then answer the derived question.

9x + 9y = -63
4x − 5y = -55

What is the value of 3x − 6y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -48
correctmath.percent.chain-v2conf 99% · 2.6s · $0.005 · 171 tok
question
An inventory starts at 12000 units. The delivery van has a 127-liter fuel tank. In the first month the inventory grows by 40%. The delivery van has a 98-liter fuel tank. The next month it shrinks by 12%, and the month after it grows by 19%. 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: 17592.96
correctmath.arith.chain-v2conf 99% · 1.6s · $0.006 · 213 tok
question
Work out the exact value of this expression.

(((45 × 45 − 161) × 7 + 8002) − 75 × 55) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 67700
correctmath.counterfactual.base-v1conf 99% · 7.7s · $0.014 · 540 tok
question
Work strictly in base 9. Multiply the base-9 numbers 58 and 18. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1211
correctmath.chained.pipeline-v1conf 99% · 8.0s · $0.006 · 216 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 67 × 12.
Step 2: Q = P × 8 − 567.
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: 980
correctmath.percent.chain-v2conf 92% · 2.3s · $0.009 · 325 tok
question
An inventory starts at 27000 units. The company was founded 143 kilometers from the port. In the first month the inventory grows by 34%. The company was founded 179 kilometers from the port. The next month it shrinks by 22%, and the month after it grows by 24%. 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: 34993.30
correctmath.algebra.system-v2conf 99% · 3.7s · $0.008 · 310 tok
question
Solve the system, then answer the derived question.

6x + 6y = -168
7x − 6y = 233

What is the value of 2x − 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: 76
correctmath.arith.chain-v2conf 99% · 2.2s · $0.008 · 279 tok
question
Calculate the following. Show your reasoning, then answer.

(((47 × 58 − 645) × 4 + 9883) − 55 × 85) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 54128
wrongmath.chained.pipeline-v1conf · 1.9s · $0.001 · 2 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 40 × 42.
Step 2: Q = P × 5 − 933.
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: (none extracted)
correctmath.counterfactual.base-v1anchorconf 99% · 1.3s · $0.013 · 476 tok
model answer: 11236
correctmath.percent.chain-v2anchorconf 85% · 1.4s · $0.009 · 335 tok
model answer: 61896.52
correctmath.algebra.system-v2anchorconf 99% · 2.2s · $0.007 · 253 tok
model answer: 87
correctmath.arith.chain-v2anchorconf 99% · 1.7s · $0.006 · 227 tok
model answer: 108153
multilingual 30/30 correct
correctmultilingual.numword-v2conf 92% · 2.0s · $0.005 · 192 tok
question
Compute 85 + 385, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent soixante-dix
correctmultilingual.wordnum-v1conf 99% · 1.5s · $0.004 · 149 tok
question
A number is written in French: « six cent quatre-vingt-quinze ». Another is written in Spanish: « setecientos ochenta 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: 1482
correctmultilingual.wordnum-v1conf 99% · 7.8s · $0.004 · 116 tok
question
A number is written in French: « quatre cent cinquante-deux ». Another is written in Spanish: « quinientos setenta 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: -120
correctmultilingual.numword-v2conf 96% · 8.3s · $0.004 · 135 tok
question
Compute 439 + 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: cinq cent soixante-dix
correctmultilingual.wordnum-v1conf 99% · 2.6s · $0.003 · 108 tok
question
A number is written in French: « trois cent soixante-trois ». Another is written in Spanish: « treinta 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: 332
correctmultilingual.wordnum-v1conf 95% · 4.0s · $0.005 · 162 tok
question
A number is written in French: « quatre-vingt-dix ». Another is written in Spanish: « doscientos ochenta 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: -192
correctmultilingual.numword-v2conf 99% · 2.2s · $0.002 · 69 tok
question
Compute 404 + 193, 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 noventa y siete
correctmultilingual.numword-v2conf 99% · 1.3s · $0.004 · 131 tok
question
Compute 418 + 88, 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 six
correctmultilingual.numword-v2conf 92% · 2.5s · $0.008 · 312 tok
question
Compute 106 + 268, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent soixante-quatorze
correctmultilingual.wordnum-v1conf 98% · 1.2s · $0.003 · 106 tok
question
A number is written in French: « huit cent vingt-cinq ». Another is written in Spanish: « novecientos quince ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -90
correctmultilingual.wordnum-v1conf 99% · 2.3s · $0.004 · 132 tok
question
A number is written in French: « quatre cent quatre ». Another is written in Spanish: « setecientos sesenta 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: 1167
correctmultilingual.numword-v2conf 99% · 1.2s · $0.002 · 75 tok
question
Compute 293 + 394, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos ochenta y siete
correctmultilingual.wordnum-v1conf 99% · 1.2s · $0.004 · 116 tok
question
A number is written in French: « sept cent trente-neuf ». Another is written in Spanish: « ciento treinta y nueve ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 600
correctmultilingual.numword-v2conf 99% · 1.5s · $0.002 · 69 tok
question
Compute 208 + 68, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: doscientos setenta y seis
correctmultilingual.wordnum-v1conf 99% · 1.2s · $0.004 · 138 tok
question
A number is written in French: « trois cent quatre-vingt-sept ». Another is written in Spanish: « ochocientos veintidós ». 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: -435
correctmultilingual.numword-v2conf 99% · 1.3s · $0.002 · 72 tok
question
Compute 275 + 362, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos treinta y siete
correctmultilingual.numword-v2conf 98% · 2.3s · $0.004 · 124 tok
question
Compute 159 + 390, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent quarante-neuf
correctmultilingual.wordnum-v1conf 95% · 1.6s · $0.004 · 133 tok
question
A number is written in French: « cinq cent dix ». Another is written in Spanish: « quinientos veintiocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -18
correctmultilingual.wordnum-v1conf 99% · 2.8s · $0.004 · 130 tok
question
A number is written in French: « quatre cent soixante-treize ». Another is written in Spanish: « ciento noventa y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 275
correctmultilingual.numword-v2conf 96% · 1.9s · $0.006 · 214 tok
question
Compute 408 + 90, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent quatre-vingt-dix-huit
correctmultilingual.wordnum-v1conf 99% · 4.1s · $0.004 · 144 tok
question
A number is written in French: « huit cent quatre-vingt-un ». Another is written in Spanish: « cuatrocientos sesenta 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: 1342
correctmultilingual.numword-v2conf 99% · 4.8s · $0.003 · 88 tok
question
Compute 421 + 66, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos ochenta y siete
correctmultilingual.wordnum-v1conf 99% · 1.5s · $0.003 · 97 tok
question
A number is written in French: « cent trente-quatre ». Another is written in Spanish: « quinientos veintidós ». 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: -388
correctmultilingual.wordnum-v1conf 99% · 7.8s · $0.003 · 94 tok
question
A number is written in French: « huit cent quarante-trois ». Another is written in Spanish: « quinientos once ». 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: 1354
correctmultilingual.numword-v2conf 99% · 2.8s · $0.003 · 77 tok
question
Compute 476 + 126, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos dos
correctmultilingual.numword-v2conf 99% · 7.7s · $0.002 · 67 tok
question
Compute 420 + 185, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos cinco
correctmultilingual.wordnum-v1anchorconf 99% · 8.6s · $0.004 · 134 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 92% · 3.1s · $0.005 · 195 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 99% · 4.7s · $0.004 · 138 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 99% · 3.6s · $0.002 · 73 tok
model answer: seiscientos ocho
reasoning 30/30 correct
correctreasoning.deduction.position-v1conf 99% · 1.5s · $0.004 · 123 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Mona. Dara is directly ahead of Alice. Mona 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: Mona
correctreasoning.deduction.position-v1conf 99% · 8.3s · $0.004 · 130 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Farah. Hana is number 2 in the queue. Bruno is directly ahead of Hana. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.order-v2conf 99% · 1.6s · $0.006 · 172 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Hana. Nadir is older than Liam. Jonas is older than Priya. Jonas is older than Ola. Hana is older than Jonas. Priya is older than Ola. Ola is older than Liam. Hana is older than Liam. Rosa is heavier than everyone here, but Rosa is not being ranked. Ola is older 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: Priya
correctreasoning.deduction.order-v2conf 99% · 1.8s · $0.007 · 244 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Tessa. Hana is heavier than Rosa. Priya is heavier than Goran. Goran is heavier than Ines. Goran is heavier than Tessa. Hana is heavier than Tessa. Rosa is heavier than Priya. Ines is heavier than Emil. Quinn is older than everyone here, but Quinn is not being ranked. Ines is heavier than Tessa. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.position-v1conf 99% · 1.4s · $0.003 · 102 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Bruno. Bruno is directly ahead of Priya. Priya is number 4 in the queue. Quinn is directly ahead of Kira. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
correctreasoning.deduction.order-v2conf 99% · 2.0s · $0.008 · 262 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is taller than everyone here, but Sami is not being ranked. Nadir is faster than Chen. Ola is faster than Chen. Ola is faster than Jonas. Tessa is faster than Ola. Alice is faster than Jonas. Priya is faster than Tessa. Ola is faster than Chen. Ola is faster than Nadir. Chen is faster than Alice. 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.position-v1conf 99% · 7.7s · $0.004 · 135 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Nadir. Liam is directly ahead of Quinn. Nadir is number 2 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
correctreasoning.deduction.order-v2conf 99% · 4.8s · $0.006 · 178 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is taller than everyone here, but Dara is not being ranked. Kira is older than Liam. Ines is older than Kira. Ines is older than Liam. Priya is older than Goran. Mona is older than Kira. Mona is older than Ines. Nadir is older than Priya. Ines is older than Liam. Goran is older than Mona. 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: Mona
correctreasoning.deduction.position-v1conf 99% · 8.2s · $0.003 · 84 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Priya. Liam is directly ahead of Hana. Priya is directly ahead of Liam. Hana is number 4 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: Liam
correctreasoning.deduction.order-v2conf 99% · 1.1s · $0.006 · 184 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Dara. Quinn is faster than Hana. Hana is faster than Dara. Dara is faster than Ines. Quinn is faster than Liam. Hana is faster than Jonas. Ines is faster than Chen. Quinn is faster than Liam. Kira is older than everyone here, but Kira is not being ranked. Jonas is faster than Liam. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.position-v1conf 99% · 1.1s · $0.004 · 124 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 1 in the queue. Alice is directly ahead of Goran. Liam is directly ahead of Alice. 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: Liam
correctreasoning.deduction.position-v1conf 99% · 7.7s · $0.004 · 137 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Rosa. Kira is number 1 in the queue. Rosa is directly ahead of Chen. 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: Nadir
correctreasoning.deduction.order-v2conf 99% · 1.1s · $0.007 · 248 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Mona. Jonas is older than Tessa. Nadir is older than Liam. Ines is older than Bruno. Tessa is older than Liam. Ola is taller than everyone here, but Ola is not being ranked. Mona is older than Ines. Bruno is older than Liam. Bruno is older than Nadir. Ines is older than Nadir. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.order-v2conf 99% · 1.5s · $0.007 · 230 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Farah. Hana is taller than everyone here, but Hana is not being ranked. Ines is faster than Priya. Chen is faster than Tessa. Priya is faster than Dara. Farah is faster than Dara. Sami is faster than Chen. Priya is faster than Dara. Ines is faster than Dara. Tessa is faster than Ines. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 97% · 1.4s · $0.003 · 87 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Ines. Ines is directly ahead of Ola. Mona is number 1 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 99% · 1.6s · $0.006 · 208 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Priya is older than Alice. Sami is taller than everyone here, but Sami is not being ranked. Dara is older than Farah. Ola is older than Farah. Ola is older than Dara. Rosa is older than Dara. Rosa is older than Ola. Alice is older than Rosa. Dara is older than Mona. Mona is older than Farah. 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 99% · 2.2s · $0.004 · 127 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Nadir. Sami is directly ahead of Goran. Nadir is number 3 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Goran
correctreasoning.deduction.order-v2conf 99% · 2.2s · $0.008 · 284 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Goran. Emil is heavier than Goran. Dara is taller than everyone here, but Dara is not being ranked. Chen is heavier than Priya. Sami is heavier than Emil. Nadir is heavier than Chen. Emil is heavier than Priya. Jonas is heavier than Nadir. Chen is heavier than Emil. Chen is heavier than Sami. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.order-v2conf 99% · 6.6s · $0.007 · 211 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Emil is faster than Tessa. Nadir is taller than everyone here, but Nadir is not being ranked. Priya is faster than Emil. Farah is faster than Emil. Priya is faster than Farah. Priya is faster than Ola. Ola is faster than Sami. Tessa is faster than Ola. Ola is faster than Goran. Sami is faster than Goran. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.position-v1conf 99% · 3.0s · $0.004 · 132 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Priya. Jonas is directly ahead of Mona. Mona is number 2 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
correctreasoning.deduction.position-v1conf 99% · 1.6s · $0.004 · 106 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Bruno. Bruno is directly ahead of Liam. Liam is number 4 in the queue. Kira is directly ahead of Ola. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.order-v2conf 99% · 1.7s · $0.008 · 265 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Mona. Bruno is faster than Jonas. Tessa is faster than Mona. Jonas is faster than Mona. Chen is taller than everyone here, but Chen is not being ranked. Kira is faster than Farah. Tessa is faster than Bruno. Farah is faster than Priya. Farah is faster than Tessa. Jonas is faster than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.position-v1conf 99% · 8.1s · $0.005 · 166 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 2 in the queue. Tessa is directly ahead of Sami. Nadir is directly ahead of Mona. 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 99% · 4.4s · $0.008 · 280 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Quinn. Nadir is older than everyone here, but Nadir is not being ranked. Priya is faster than Quinn. Hana is faster than Kira. Kira is faster than Priya. Rosa is faster than Kira. Alice is faster than Rosa. Rosa is faster than Liam. Liam is faster than Hana. Liam is faster than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.position-v1conf 99% · 3.0s · $0.004 · 145 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 2 in the queue. Nadir is directly ahead of Quinn. Rosa is directly ahead of Farah. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.order-v2conf 99% · 1.5s · $0.008 · 286 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Ines. Sami is faster than Rosa. Nadir is faster than Ola. Ines is faster than Rosa. Goran is faster than Ines. Dara is taller than everyone here, but Dara is not being ranked. Sami is faster than Nadir. Mona is faster than Goran. Mona is faster than Rosa. Ola is faster than Mona. 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: Mona
correctreasoning.deduction.position-v1anchorconf 99% · 2.0s · $0.004 · 117 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 99% · 1.7s · $0.006 · 197 tok
model answer: Mona
correctreasoning.deduction.order-v2anchorconf 98% · 1.9s · $0.005 · 136 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 99% · 1.6s · $0.004 · 133 tok
model answer: Farah
terminal 4/30 correct
wrongterminal.exit.chain-v1conf · 1.2s · $0.002 · 2 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 1.4s · $0.002 · 8 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/conf`, `/proj/assets`):

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

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

```sh
mv docs/draft.log docs/draft-3.txt
mv report.log setup-9.cfg
cp assets/todo.txt conf/
touch assets/index-9.log
mkdir -p assets/docs-5
mkdir -p docs/logs-2
cp setup-9.cfg assets/
cd .
mkdir -p conf-4
cd docs/logs-2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 1.2s · $0.002 · 2 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,ops,105,25
ivy,sales,115,86
oli,ops,78,92
ana,sales,51,47
eli,ops,18,99
dev,sales,119,60
ned,hr,107,48
pam,eng,55,92
gus,sales,115,98
fay,hr,120,11
bo,sales,100,30
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 67 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf · 2.4s · $0.002 · 4 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
test -f tmp.txt && echo A || echo B
grep -q dune notes.txt && echo C || echo D
test -f app.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 2.5s · $0.002 · 4 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/conf`, `/proj/build`):

```
/proj/build/draft.cfg
/proj/build/setup.md
/proj/index.cfg
/proj/notes.md
/proj/src/main.txt
```

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

```sh
mv build/setup.md build/draft-4.cfg
rm build/draft-4.cfg
mkdir -p conf/src-3
touch conf/util-9.cfg
mv conf/util-9.cfg conf/todo-7.cfg
mv build/draft.cfg build/todo-2.cfg
touch conf/main-5.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 98% · 4.7s · $0.005 · 129 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F exit:1
wrongterminal.pipeline.predict-v1conf · 1.2s · $0.002 · 2 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,eng,100,11
dev,legal,7,13
fay,legal,82,74
kim,ops,79,36
lou,ops,67,90
hal,ops,114,70
eli,ops,55,71
bo,hr,21,63
gus,sales,44,27
ivy,sales,9,65
pam,legal,108,83
ned,sales,30,42
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf · 1.3s · $0.002 · 2 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q dune notes.txt && echo A || echo B
true && 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: (none extracted)
wrongterminal.fs.tree-v1conf · 1.2s · $0.002 · 3 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/assets`):

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

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

```sh
cp setup.md docs/
mkdir -p assets-4
touch assets/util-1.md
mv assets/util-1.md assets/notes-7.md
cd assets
mkdir -p ../../proj/assets-4/build-6
cd ../../proj/logs
mkdir -p ../../proj/assets-4/docs-9
cp ../../proj/docs/setup.md ../../proj/assets-4/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 2.8s · $0.002 · 3 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,legal,20,35
ivy,eng,83,92
gus,ops,82,22
bo,sales,56,27
fay,ops,117,37
eli,hr,83,42
hal,sales,26,97
ned,legal,62,48
lou,hr,117,50
kim,sales,70,15
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 1.6s · $0.002 · 4 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`):

```
/proj/build/index.md
/proj/draft.txt
/proj/logs/report.cfg
/proj/src/main.txt
/proj/util.log
```

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

```sh
mv util.log todo-2.log
cd logs
rm ../../proj/todo-2.log
cd ../../proj
mkdir -p build-8
rm draft.txt
cd .
touch build-8/index-3.log
mkdir -p build-8/docs-7
touch util-4.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 1.4s · $0.002 · 2 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,hr,92,73
ned,hr,68,85
hal,sales,86,53
cy,hr,117,65
bo,hr,75,11
kim,legal,105,92
gus,eng,23,66
max,ops,71,82
pam,eng,3,40
ivy,ops,80,79
eli,legal,62,19
dev,eng,59,25
jon,eng,15,24
lou,sales,63,21
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 59 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf · 1.7s · $0.002 · 6 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
test -f app.txt && echo A || echo B
test -f app.txt && echo C || echo D
test -f data.txt && echo E || echo F
grep -q dune notes.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 1.8s · $0.002 · 10 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`):

```
/proj/build/index.txt
/proj/draft.txt
/proj/logs/todo.log
/proj/src/report.txt
/proj/util.txt
```

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

```sh
mkdir -p build/assets-3
mv src/report.txt src/draft-8.md
cd .
cd build
touch ../../proj/logs/util-9.cfg
mv ../../proj/util.txt ../../proj/src/
cp ../../proj/logs/todo.log ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 2.0s · $0.002 · 3 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,eng,53,78
fay,eng,99,75
dev,eng,46,57
kim,hr,42,83
pam,hr,41,48
jon,sales,44,27
cy,ops,9,39
gus,eng,29,35
ned,sales,80,96
oli,eng,37,42
lou,legal,35,39
max,hr,101,37
bo,eng,120,22
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 98% · 2.0s · $0.019 · 666 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/build`):

```
/proj/build/setup.md
/proj/docs/index.md
/proj/docs/notes.txt
/proj/draft.log
/proj/main.txt
```

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

```sh
mv docs/notes.txt docs/index-2.txt
touch build/main-9.log
touch draft-3.md
mv main.txt assets/
cd docs
cp ../../proj/build/setup.md ./
rm ../../proj/build/main-9.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/main.txt /proj/build/setup.md /proj/docs/index-2.txt /proj/docs/index.md /proj/docs/setup.md /proj/draft-3.md /proj/draft.log
wrongterminal.exit.chain-v1conf · 2.1s · $0.002 · 3 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

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

These statements run in order:

```sh
test -f ghost.txt && echo A || echo B
true && echo C || echo D
false && echo E || echo F
test -f tmp.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: (none extracted)
wrongterminal.exit.chain-v1conf · 1.9s · $0.002 · 3 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
true && echo C || echo D
grep -q dune notes.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 1.6s · $0.002 · 3 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,ops,5,33
max,hr,116,41
bo,ops,5,35
lou,legal,57,29
kim,eng,41,93
ana,ops,13,40
oli,hr,41,34
ned,eng,109,95
gus,hr,88,19
cy,ops,114,76
dev,legal,26,88
eli,eng,37,71
fay,ops,17,95
pam,ops,43,46
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 2.3s · $0.002 · 3 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/docs`, `/proj/src`):

```
/proj/assets/main.log
/proj/assets/setup.cfg
/proj/docs/notes.txt
/proj/draft.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 assets/setup.cfg
mv docs/notes.txt docs/notes-4.txt
mkdir -p assets/docs-3
mkdir -p assets/docs-3/logs-8
mv docs/notes-4.txt docs/notes-5.cfg
mkdir -p assets/docs-3/logs-8/src-3
cp docs/notes-5.cfg assets/docs-3/
cd assets
rm docs-3/notes-5.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: (none extracted)
correctterminal.fs.tree-v1conf 98% · 4.9s · $0.019 · 679 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/logs`):

```
/proj/assets/report.log
/proj/conf/notes.md
/proj/draft.md
/proj/logs/index.log
/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
touch conf/main-2.md
cd .
cp draft.md conf/
cd logs
rm ../../proj/draft.md
cd ../../proj/assets
cp ../../proj/conf/notes.md ../../proj/
mkdir -p ../../proj/build-9
cp ../../proj/conf/notes.md ../../proj/
cd ../../proj/logs
touch index-3.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report.log /proj/conf/draft.md /proj/conf/main-2.md /proj/conf/notes.md /proj/logs/index-3.txt /proj/logs/index.log /proj/main.txt /proj/notes.md
wrongterminal.pipeline.predict-v1conf · 1.8s · $0.002 · 2 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,hr,68,32
ana,sales,31,99
hal,sales,41,11
oli,hr,42,23
ivy,hr,16,40
kim,ops,56,71
max,ops,50,14
cy,sales,70,21
lou,ops,117,44
dev,sales,29,66
jon,hr,58,33
eli,ops,72,26
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf · 3.6s · $0.002 · 3 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
test -f tmp.txt && echo A || echo B
false && echo C || echo D
test -f ghost.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 7.8s · $0.002 · 2 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,hr,5,30
eli,hr,20,93
ana,eng,42,90
ned,ops,50,53
oli,hr,4,80
pam,hr,116,74
lou,sales,102,17
dev,ops,100,40
ivy,hr,54,56
gus,ops,58,97
hal,legal,54,90
```

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: (none extracted)
correctterminal.fs.tree-v1conf 98% · 2.4s · $0.022 · 776 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/build`, `/proj/conf`):

```
/proj/build/main.log
/proj/build/notes.log
/proj/index.log
/proj/src/setup.log
/proj/todo.cfg
```

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

```sh
mv build/notes.log ./
cd .
mkdir -p docs-8
cd src
touch ../../proj/docs-8/report-7.txt
cd ../../proj/docs-8
cp ../../proj/src/setup.log ../../proj/
mv report-7.txt notes-9.md
touch ../../proj/src/todo-5.md
mkdir -p ../../proj/src/build-4
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/main.log /proj/docs-8/notes-9.md /proj/index.log /proj/notes.log /proj/setup.log /proj/src/setup.log /proj/src/todo-5.md /proj/todo.cfg
wrongterminal.exit.chain-v1conf · 5.5s · $0.002 · 3 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1anchorconf · 6.0s · $0.002 · 2 tok
model answer: (none extracted)
wrongterminal.exit.chain-v1anchorconf · 5.4s · $0.002 · 3 tok
model answer: (none extracted)
wrongterminal.fs.tree-v1anchorconf · 2.7s · $0.002 · 4 tok
model answer: (none extracted)
wrongterminal.pipeline.predict-v1anchorconf · 2.3s · $0.002 · 2 tok
model answer: (none extracted)
vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 98% · 4.6s · $0.006 · 32 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: 38
correctvision.ocr.code-hunt-v1conf 95% · 1.9s · $0.006 · 39 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: MDPCNN
correctvision.ocr.table-read-v1conf 99% · 4.6s · $0.006 · 45 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: 88
correctvision.ocr.code-hunt-v1conf 96% · 3.0s · $0.006 · 44 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: WYMVUCVF
correctvision.ocr.code-hunt-v1conf 97% · 4.4s · $0.006 · 39 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: FD39UXF
correctvision.ocr.table-read-v1conf 98% · 2.4s · $0.006 · 42 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: 91
correctvision.ocr.code-hunt-v1conf 95% · 5.4s · $0.006 · 44 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: A9EMC3DE
correctvision.ocr.table-read-v1conf 99% · 2.4s · $0.006 · 39 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: 87
correctvision.ocr.code-hunt-v1conf 97% · 7.0s · $0.006 · 40 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: HWJFUM
correctvision.ocr.table-read-v1conf 99% · 2.4s · $0.006 · 33 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: 37
correctvision.ocr.table-read-v1conf 98% · 2.4s · $0.006 · 32 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: 34
correctvision.ocr.code-hunt-v1conf 92% · 6.2s · $0.006 · 42 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: YNWTYXN
correctvision.ocr.table-read-v1conf 98% · 3.4s · $0.006 · 33 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: 180
correctvision.ocr.code-hunt-v1conf 96% · 3.0s · $0.005 · 27 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: TNF9CHH
correctvision.ocr.table-read-v1conf 99% · 3.8s · $0.006 · 40 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: 41
correctvision.ocr.code-hunt-v1conf 90% · 8.4s · $0.006 · 46 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: 9VMHMHDK
correctvision.ocr.table-read-v1conf 99% · 2.5s · $0.006 · 32 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: 85
correctvision.ocr.code-hunt-v1conf 98% · 3.0s · $0.005 · 26 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: XK9YAF
correctvision.ocr.table-read-v1conf 98% · 8.9s · $0.006 · 33 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: 70
correctvision.ocr.code-hunt-v1conf 92% · 8.2s · $0.006 · 40 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: F9CRCR
correctvision.ocr.table-read-v1conf 99% · 10.2s · $0.005 · 29 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: 167
correctvision.ocr.table-read-v1conf 98% · 10.0s · $0.006 · 32 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: 57
correctvision.ocr.code-hunt-v1conf 98% · 10.0s · $0.005 · 26 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: V9Y93T
correctvision.ocr.code-hunt-v1conf 96% · 5.6s · $0.006 · 39 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: YFTVWX
correctvision.ocr.code-hunt-v1conf 93% · 2.2s · $0.006 · 41 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: YJYUFA4
correctvision.ocr.table-read-v1conf 99% · 1.8s · $0.006 · 65 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: 297
correctvision.ocr.code-hunt-v1anchorconf 73% · 8.5s · $0.008 · 126 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 98% · 2.9s · $0.006 · 32 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 96% · 6.4s · $0.005 · 25 tok
model answer: VX7993D
correctvision.ocr.table-read-v1anchorconf 98% · 3.2s · $0.006 · 32 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit694
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  • 2026-08-05v0.2.0index_fit697
  • 2026-08-05v0.2.0index_fit697
  • 2026-08-05v0.2.0index_fit697
  • 2026-08-05v0.2.0index_fit697
  • 2026-08-05v0.2.0index_fit696
  • 2026-08-05v0.2.0index_fit696
  • 2026-08-05v0.2.0index_fit696
  • 2026-08-05v0.2.0index_fit696
  • 2026-08-05v0.2.0index_fit681
  • 2026-08-05v0.2.0index_fit681
  • 2026-08-05v0.2.0index_fit681
  • 2026-08-05v0.2.0index_fit681
  • 2026-08-05v0.2.0index_fit681
  • 2026-08-05v0.2.0index_fit682
  • 2026-08-05v0.2.0index_fit683
  • 2026-08-05v0.2.0index_fit677
  • 2026-08-05v0.2.0index_fit679
  • 2026-08-05v0.2.0index_fit681