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anthropic/claude-opus-5-fast · anthropic · context 1 000 000 · in $10.00/1M · out $50.00/1M

Global Index

716

95% CI [667765] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic727 [616837]
0.5821.000.920.0191.4s$31.14
code755 [624886]
0.6930.980.990.0771.2s$26.53
instruction following838 [709967]
0.7830.830.940.0001.5s$15.12
knowledge729 [554903]
0.5491.000.990.0001.1s$3.56
math718 [564873]
0.6291.000.980.0771.1s$17.79
reasoning845 [696994]
0.7431.000.990.0001.1s$10.75
terminal400 [347453]
0.1001.000.0001.0s$8.24
vision ocr716 [547886]
0.5341.000.960.0002.3s$11.56

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
wrongagentic.tools.context-load-v1conf · 29.2s · $0.055 · 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 (298 records, format: id|customer|region|item|qty|status):
```
1145|birch|east|panel|24|pending
1874|ember|west|rotor|55|shipped
2141|dorian|south|sensor|20|paid
2119|birch|south|frame|96|held
1745|juno|south|rotor|77|held
1759|fulton|south|gasket|87|shipped
1438|acme|west|frame|35|shipped
1301|harbor|south|gasket|47|paid
1208|fulton|north|panel|19|pending
1619|dorian|south|cable|24|shipped
1969|ionic|south|panel|69|pending
1584|harbor|south|pump|14|pending
1321|fulton|west|sensor|29|held
1339|fulton|south|frame|61|paid
1827|gale|south|rotor|81|held
1593|ember|east|frame|71|held
1455|fulton|south|sensor|34|shipped
1859|cobalt|west|gasket|96|held
1547|ionic|north|panel|77|paid
2082|cobalt|south|pump|67|pending
1752|ionic|north|valve|19|held
1726|gale|east|rotor|72|shipped
1058|harbor|east|panel|24|pending
1590|acme|west|panel|72|shipped
2125|birch|west|rotor|57|shipped
1692|dorian|south|cable|66|paid
1923|cobalt|south|valve|91|paid
2151|cobalt|east|panel|36|paid
1731|harbor|north|rotor|87|shipped
1736|fulton|south|sensor|33|shipped
1955|fulton|east|rotor|78|held
1768|cobalt|west|sensor|25|held
1872|gale|north|rotor|14|pending
1577|juno|north|valve|23|pending
1200|acme|south|pump|34|held
1948|ember|east|gasket|11|held
1160|harbor|west|panel|14|pending
1077|ember|north|gasket|21|paid
1296|ember|north|frame|95|shipped
2036|ionic|north|sensor|69|paid
1485|gale|east|panel|20|paid
1684|fulton|south|cable|88|held
1135|gale|west|panel|43|pending
1494|cobalt|west|rotor|36|paid
2192|ember|south|cable|61|held
1376|dorian|south|sensor|65|pending
1578|harbor|west|panel|25|paid
1109|cobalt|east|frame|66|paid
2148|juno|west|rotor|13|pending
1522|fulton|west|rotor|44|held
1231|fulton|south|sensor|62|paid
1597|ember|west|frame|78|pending
1614|cobalt|west|cable|39|held
2164|gale|east|panel|98|shipped
1784|ionic|south|panel|76|paid
1466|dorian|east|rotor|11|pending
1567|harbor|east|rotor|59|shipped
1609|dorian|west|gasket|82|pending
1332|gale|west|pump|21|pending
1305|harbor|south|gasket|49|held
1271|gale|east|frame|74|shipped
1937|acme|west|cable|32|paid
1854|acme|north|valve|83|shipped
1518|acme|west|rotor|14|shipped
1553|harbor|west|cable|16|pending
1882|birch|east|rotor|16|shipped
1266|ember|north|gasket|94|paid
1088|juno|north|valve|23|paid
1140|cobalt|west|rotor|33|pending
2126|ember|north|valve|98|pending
2205|dorian|north|valve|71|pending
1651|gale|west|valve|58|shipped
1913|fulton|west|gasket|58|pending
1032|harbor|east|rotor|42|pending
1687|juno|north|frame|90|paid
1100|ember|west|panel|49|paid
1654|fulton|north|sensor|91|paid
1414|acme|west|panel|39|pending
1952|ionic|south|cable|79|paid
1183|harbor|west|frame|47|pending
1801|dorian|east|frame|27|held
1705|harbor|north|rotor|17|shipped
1517|ember|south|pump|93|held
2053|birch|south|pump|21|held
1723|ionic|north|panel|56|pending
1048|harbor|north|cable|90|pending
2185|ember|north|cable|38|held
1676|cobalt|south|cable|22|paid
1890|dorian|north|frame|45|shipped
1979|ember|south|gasket|37|paid
1863|fulton|north|rotor|23|pending
1709|ionic|west|pump|49|paid
1538|birch|north|gasket|87|paid
2057|dorian|east|pump|74|held
1131|ionic|east|pump|25|paid
2016|juno|east|valve|95|shipped
1492|harbor|west|frame|41|paid
1842|ember|east|valve|97|held
1799|gale|west|gasket|97|paid
1895|juno|north|rotor|76|held
2224|cobalt|north|valve|50|pending
1944|ionic|south|valve|80|pending
2101|acme|west|sensor|13|pending
1392|dorian|west|frame|68|held
2076|harbor|north|rotor|66|pending
1204|juno|south|gasket|26|shipped
1251|ember|north|rotor|17|pending
1314|dorian|west|pump|21|held
1599|fulton|west|cable|16|pending
2065|juno|west|rotor|75|paid
1072|harbor|north|pump|94|pending
1525|birch|east|panel|64|paid
2105|cobalt|west|gasket|49|paid
1199|acme|east|valve|11|paid
1897|cobalt|north|frame|31|held
1387|ionic|south|pump|50|held
1500|harbor|west|cable|56|shipped
1397|ionic|south|cable|56|paid
1663|gale|north|gasket|25|pending
1396|ember|east|sensor|74|pending
2011|ember|east|frame|81|held
1139|ember|west|valve|95|held
1094|juno|south|cable|58|shipped
1260|ionic|north|gasket|94|pending
1929|gale|west|panel|32|shipped
1653|fulton|east|rotor|43|paid
1338|juno|north|frame|47|pending
1041|harbor|east|frame|96|held
2109|gale|west|valve|69|pending
1624|dorian|east|sensor|90|pending
1170|juno|south|panel|26|paid
1124|harbor|west|rotor|68|paid
1219|fulton|south|pump|16|shipped
1966|ionic|south|frame|23|pending
2094|dorian|south|sensor|82|pending
1680|cobalt|south|valve|93|pending
1311|ionic|east|sensor|13|pending
1147|gale|west|sensor|78|shipped
1978|dorian|west|cable|19|held
1459|dorian|west|cable|45|shipped
2037|fulton|south|frame|60|held
1382|fulton|south|rotor|90|held
1113|juno|east|panel|15|paid
2063|ionic|south|frame|47|paid
2199|juno|north|valve|34|shipped
1824|harbor|west|frame|97|shipped
1548|birch|north|frame|18|pending
1136|acme|west|gasket|54|paid
2167|cobalt|north|rotor|68|shipped
1905|acme|north|valve|53|shipped
2087|acme|north|sensor|15|pending
1899|harbor|east|cable|36|shipped
1244|gale|south|rotor|50|held
1346|ember|west|panel|24|paid
1925|dorian|north|panel|59|shipped
1846|birch|east|rotor|88|held
1777|acme|north|rotor|76|shipped
1992|fulton|east|cable|15|paid
1527|ember|north|sensor|37|pending
1127|acme|east|frame|29|paid
1327|cobalt|west|rotor|26|shipped
1187|ember|north|frame|92|held
1581|dorian|south|gasket|55|held
1275|fulton|east|pump|45|pending
2027|dorian|west|gasket|58|paid
1444|gale|south|pump|40|paid
1471|birch|south|sensor|49|paid
1102|birch|west|rotor|71|held
1737|dorian|east|panel|51|held
1488|ionic|south|pump|29|shipped
1431|harbor|south|panel|72|held
1480|juno|west|sensor|19|shipped
1730|acme|east|pump|60|paid
2158|dorian|west|pump|68|held
1877|dorian|south|cable|48|held
2221|acme|north|sensor|24|paid
1738|ionic|west|pump|96|shipped
1884|juno|east|cable|66|paid
1386|ionic|south|pump|22|pending
1223|fulton|south|frame|59|held
1039|harbor|north|sensor|11|pending
1402|cobalt|north|valve|20|held
1182|ionic|north|panel|74|shipped
1932|gale|west|valve|90|held
2014|ionic|east|sensor|37|held
1085|juno|west|rotor|18|held
1329|ember|east|rotor|83|paid
1794|fulton|north|rotor|75|paid
1046|harbor|east|pump|80|pending
1603|harbor|east|valve|11|paid
1513|dorian|south|valve|88|held
1237|fulton|west|panel|15|shipped
1210|fulton|east|gasket|43|paid
1638|fulton|north|pump|62|pending
1409|ionic|west|gasket|14|paid
1715|juno|north|pump|15|held
2039|acme|south|valve|73|pending
1369|fulton|west|valve|50|paid
1896|dorian|east|panel|87|pending
1927|fulton|south|cable|87|paid
1540|harbor|east|cable|91|held
1067|juno|east|rotor|71|pending
1226|acme|south|valve|63|paid
1670|fulton|west|gasket|28|held
2136|ionic|west|gasket|58|shipped
1698|juno|west|cable|90|paid
2006|ember|east|sensor|64|shipped
2072|dorian|east|sensor|77|shipped
1640|juno|south|rotor|53|pending
2138|cobalt|north|gasket|32|pending
1918|harbor|east|cable|60|paid
2237|acme|west|valve|48|pending
1949|dorian|south|sensor|40|shipped
1818|ember|south|cable|85|held
1829|harbor|north|rotor|16|shipped
1083|gale|west|valve|22|pending
2066|acme|north|pump|95|shipped
2081|dorian|west|valve|84|held
1118|birch|east|pump|71|shipped
1917|harbor|west|pump|68|held
1143|ionic|west|frame|64|shipped
1450|ionic|south|cable|13|pending
1912|ionic|west|frame|55|held
2137|dorian|south|rotor|10|shipped
1421|juno|south|gasket|10|paid
1146|acme|south|rotor|81|pending
1764|acme|north|valve|96|pending
1479|ember|north|panel|91|shipped
2020|ember|west|valve|61|held
1813|harbor|west|sensor|89|pending
1165|gale|north|panel|30|shipped
1220|ionic|west|rotor|21|pending
1634|birch|north|panel|88|shipped
1627|harbor|north|sensor|80|paid
1362|gale|north|rotor|86|held
1834|dorian|south|frame|22|shipped
1848|acme|north|valve|10|pending
1962|fulton|west|gasket|65|pending
1659|dorian|east|frame|35|paid
1427|juno|south|panel|95|shipped
1292|acme|north|valve|82|held
1194|ionic|south|valve|86|pending
1286|gale|west|cable|41|pending
2090|acme|south|pump|67|paid
1164|dorian|south|sensor|91|shipped
1153|cobalt|west|valve|38|held
2210|birch|east|pump|80|paid
1644|dorian|west|cable|53|shipped
2115|acme|west|panel|69|shipped
1972|dorian|north|cable|41|paid
1351|birch|south|panel|94|held
1458|juno|east|pump|57|shipped
1257|dorian|north|frame|85|pending
1217|fulton|east|sensor|80|paid
1984|acme|east|sensor|57|held
2174|juno|north|valve|68|paid
2223|acme|south|cable|84|shipped
2030|cobalt|west|frame|96|paid
1836|cobalt|east|frame|78|shipped
1506|ionic|east|cable|49|held
2178|dorian|west|rotor|66|shipped
1746|cobalt|south|panel|78|paid
1282|gale|east|pump|45|paid
1998|juno|west|panel|28|pending
1355|dorian|south|sensor|52|shipped
2217|fulton|north|gasket|84|paid
2056|juno|south|rotor|94|shipped
1572|fulton|south|frame|71|held
1066|harbor|east|frame|20|held
1399|juno|east|cable|20|shipped
1065|harbor|south|frame|47|pending
1447|dorian|east|pump|13|held
1197|juno|east|gasket|49|pending
1159|fulton|south|cable|72|paid
2054|harbor|north|pump|90|held
1055|harbor|east|pump|91|held
1150|dorian|north|rotor|41|pending
1323|juno|west|valve|71|shipped
1772|cobalt|south|gasket|18|held
1473|gale|east|cable|64|held
1999|fulton|south|valve|78|held
1788|ionic|north|pump|16|shipped
1531|birch|west|gasket|49|pending
1990|dorian|east|panel|59|pending
1177|acme|north|sensor|25|held
2133|harbor|east|sensor|16|pending
2230|gale|east|sensor|35|shipped
1616|gale|east|cable|46|held
1719|fulton|north|gasket|31|held
2242|harbor|north|sensor|62|paid
2046|gale|north|rotor|68|paid
1560|ionic|north|rotor|15|paid
2203|juno|south|pump|31|paid
1482|ionic|north|frame|76|paid
1865|fulton|west|sensor|24|shipped
1808|ionic|south|valve|47|pending
1254|ionic|north|sensor|67|shipped
2194|ionic|south|rotor|65|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 52, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.ledger-v1conf 98% · 1.7s · $0.026 · 387 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: $217
- bravo: $407
- delta: $533

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $93 from "bravo" to "oscar"
2. pay $103 from "delta" to "oscar"
3. pay $170 from "delta" to "bravo"
4. pay $343 from "delta" 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": 93}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 103}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 170}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 83}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 343}} ]
correctagentic.tools.triage-v1conf 92% · 764ms · $0.025 · 350 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 3)
2. "locked out after 2FA change" (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": "locked out after 2FA change", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}} ]
correctagentic.tools.ledger-v1conf 98% · 960ms · $0.032 · 503 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: $510
- alpha: $806
- lima: $413

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $163 from "delta" to "alpha"
2. pay $288 from "delta" to "alpha"
3. pay $570 from "delta" to "lima"
4. pay $446 from "delta" to "alpha"
5. pay $201 from "lima" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 163}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 288}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 511}}, {"tool": "transfer", "args": {"from": "delta", "to": "lima", "amount": 570}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 446}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 446}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 201}} ]
wrongagentic.tools.context-load-v1conf · 1.4s · $0.054 · 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 (291 records, format: id|customer|region|item|qty|status):
```
1289|juno|east|cable|25|pending
2089|juno|north|pump|61|paid
2230|gale|east|pump|69|held
2206|dorian|west|sensor|34|held
1649|dorian|west|cable|85|shipped
1780|dorian|south|gasket|18|shipped
1341|ember|east|rotor|14|pending
1431|dorian|north|gasket|52|held
2267|harbor|south|frame|35|shipped
1886|juno|south|sensor|58|held
2309|acme|east|rotor|78|shipped
1246|dorian|west|panel|38|pending
1711|ionic|east|valve|87|held
1419|juno|west|rotor|17|pending
1909|cobalt|west|sensor|93|paid
1641|fulton|north|frame|30|pending
1347|acme|west|pump|15|shipped
1340|dorian|west|panel|56|shipped
1700|cobalt|east|rotor|10|paid
2347|acme|east|cable|44|pending
1557|ember|north|sensor|81|pending
1811|harbor|south|valve|88|held
1518|gale|north|pump|78|shipped
1907|gale|west|cable|76|pending
2066|acme|north|cable|34|held
1672|birch|west|sensor|34|held
1826|birch|south|cable|37|shipped
2196|fulton|north|sensor|78|paid
1891|dorian|west|valve|20|paid
1849|acme|south|sensor|64|paid
1936|birch|south|gasket|79|pending
1469|dorian|north|valve|49|paid
1954|harbor|south|rotor|36|pending
1925|dorian|north|valve|79|held
2101|fulton|east|frame|51|shipped
1839|ionic|west|pump|15|shipped
1440|acme|east|pump|66|shipped
2220|acme|east|pump|40|held
1274|fulton|west|rotor|82|paid
1455|ember|north|valve|72|held
2332|juno|west|frame|16|pending
2174|harbor|north|gasket|18|pending
2157|dorian|east|sensor|56|paid
2163|fulton|north|gasket|76|shipped
1512|ionic|south|rotor|13|shipped
1721|gale|south|rotor|48|pending
1324|birch|east|cable|22|pending
2079|acme|east|panel|32|held
1606|juno|east|valve|11|shipped
2032|gale|east|panel|90|paid
1488|acme|south|cable|96|held
2235|juno|south|gasket|11|paid
2277|acme|south|cable|41|paid
2166|ember|west|valve|34|held
1530|fulton|north|sensor|92|held
1309|fulton|south|rotor|29|shipped
1581|acme|north|cable|26|pending
2017|ionic|east|valve|61|pending
1628|ember|east|rotor|51|shipped
1682|dorian|east|cable|17|paid
1773|fulton|north|sensor|78|held
1500|fulton|south|frame|26|held
1354|cobalt|north|pump|15|held
1638|fulton|west|panel|96|held
1448|cobalt|east|sensor|14|held
1231|dorian|north|panel|37|pending
1462|harbor|west|panel|49|held
1456|fulton|north|valve|32|pending
1668|birch|north|gasket|31|held
1787|cobalt|west|rotor|29|held
1437|dorian|north|pump|31|shipped
1896|cobalt|west|panel|45|paid
1395|ionic|south|valve|55|shipped
1276|ionic|west|rotor|55|pending
2273|gale|south|panel|10|held
1900|dorian|north|frame|66|paid
2349|fulton|east|gasket|15|held
1477|acme|east|sensor|35|held
1471|harbor|east|pump|21|pending
2012|harbor|south|frame|65|pending
1467|cobalt|north|panel|11|pending
1861|ember|south|cable|24|pending
2239|gale|north|valve|21|pending
1675|fulton|east|panel|48|shipped
2116|dorian|east|pump|91|shipped
2045|birch|north|gasket|41|shipped
1882|harbor|east|rotor|28|held
2193|juno|east|panel|61|shipped
1765|ember|west|rotor|98|pending
1791|dorian|west|panel|51|shipped
1294|ember|west|panel|65|shipped
1588|ionic|south|panel|38|held
2129|cobalt|east|frame|22|shipped
2178|ionic|west|rotor|87|paid
1540|cobalt|south|gasket|65|paid
2295|cobalt|west|rotor|84|paid
1317|harbor|north|gasket|30|pending
1411|harbor|north|frame|14|pending
1290|acme|west|gasket|19|paid
1240|dorian|north|cable|45|pending
1268|dorian|north|rotor|38|shipped
1871|gale|south|gasket|15|pending
1412|gale|north|pump|19|shipped
2022|ionic|west|gasket|40|shipped
2327|dorian|north|panel|55|held
2108|birch|east|valve|86|shipped
1409|birch|north|frame|33|shipped
1619|dorian|east|gasket|11|pending
1610|fulton|south|sensor|68|shipped
2285|ionic|west|valve|43|pending
1564|juno|east|frame|99|shipped
1578|cobalt|west|gasket|62|held
1553|ember|south|cable|83|shipped
1612|gale|south|cable|84|shipped
1526|harbor|west|frame|26|pending
1853|cobalt|east|cable|75|pending
1758|birch|east|panel|51|paid
2153|fulton|south|panel|35|paid
1844|cobalt|south|valve|40|pending
1733|birch|north|gasket|77|pending
1599|birch|north|sensor|75|pending
2130|cobalt|east|panel|88|paid
2252|juno|west|cable|49|held
1501|acme|east|valve|52|held
1429|cobalt|east|frame|80|pending
1920|ionic|west|valve|63|shipped
2125|dorian|south|valve|85|pending
2312|juno|south|sensor|97|pending
1946|harbor|west|cable|21|shipped
2110|fulton|south|valve|59|pending
1834|acme|south|pump|25|shipped
1642|dorian|west|sensor|93|paid
1994|birch|west|cable|12|shipped
2245|acme|west|gasket|53|held
1402|ionic|south|gasket|75|held
1332|dorian|east|gasket|99|shipped
2179|fulton|east|panel|42|shipped
2077|acme|north|valve|59|shipped
1945|harbor|west|panel|50|paid
1714|juno|west|cable|86|pending
2114|dorian|north|valve|69|held
1219|dorian|east|gasket|52|pending
1822|juno|south|rotor|58|held
1722|fulton|east|pump|45|pending
1236|dorian|north|rotor|98|shipped
1963|dorian|south|gasket|76|paid
1858|cobalt|north|sensor|15|shipped
1212|dorian|north|pump|52|paid
2164|dorian|south|sensor|98|paid
1757|juno|east|sensor|73|paid
1383|gale|east|pump|73|pending
1827|juno|south|pump|77|shipped
2224|cobalt|south|pump|60|paid
2288|ember|east|cable|62|held
2291|gale|north|gasket|37|paid
1774|ember|east|cable|25|paid
2340|gale|south|frame|84|shipped
1573|cobalt|east|valve|85|pending
1718|ember|south|gasket|75|shipped
2175|ember|north|panel|24|held
2254|harbor|south|frame|37|pending
1850|acme|south|frame|18|held
2112|dorian|north|cable|67|held
1568|birch|west|valve|15|held
1371|ember|south|gasket|50|shipped
1552|gale|south|sensor|14|paid
1368|juno|south|panel|34|held
2301|cobalt|west|gasket|19|held
2040|gale|south|pump|41|held
1251|dorian|north|frame|81|shipped
1905|cobalt|east|rotor|28|pending
2060|dorian|east|panel|71|paid
1982|juno|west|cable|50|shipped
2051|ember|west|gasket|21|pending
2237|birch|west|gasket|92|shipped
1988|dorian|west|panel|58|pending
1360|gale|south|panel|66|held
1523|ionic|west|valve|72|shipped
1634|gale|south|valve|90|shipped
1815|gale|north|valve|83|held
1753|harbor|west|pump|64|shipped
1662|cobalt|west|cable|76|shipped
1657|birch|east|rotor|53|held
1749|cobalt|east|cable|94|paid
1696|acme|west|panel|89|held
1387|fulton|east|panel|38|paid
1224|dorian|north|rotor|68|shipped
1801|cobalt|south|gasket|22|paid
2183|cobalt|south|sensor|77|held
1329|ember|south|pump|67|held
1745|juno|west|gasket|37|paid
2232|acme|west|gasket|21|paid
2118|birch|south|frame|53|held
1867|cobalt|south|panel|73|paid
2135|juno|north|valve|40|shipped
2308|gale|north|panel|19|paid
2000|gale|east|frame|91|held
1208|dorian|south|rotor|96|pending
1535|dorian|north|rotor|68|shipped
2201|juno|west|frame|54|held
1932|fulton|south|cable|62|shipped
2357|fulton|west|panel|83|shipped
2071|gale|south|gasket|81|shipped
2138|fulton|south|pump|51|held
1335|harbor|north|cable|90|shipped
1258|dorian|north|sensor|72|pending
2200|gale|east|sensor|51|shipped
1804|fulton|west|cable|38|pending
1366|harbor|east|rotor|73|held
2136|gale|south|rotor|45|pending
2188|dorian|south|pump|20|paid
1376|cobalt|east|rotor|97|pending
1940|gale|west|pump|27|shipped
1481|cobalt|south|panel|67|held
1728|harbor|west|cable|83|shipped
1703|harbor|west|sensor|15|held
2086|birch|east|pump|76|shipped
1263|dorian|east|panel|50|pending
2056|harbor|east|frame|28|paid
1913|fulton|north|gasket|97|held
1408|ember|west|cable|70|pending
1569|gale|east|sensor|96|shipped
1296|juno|west|gasket|48|paid
1410|ionic|north|panel|20|pending
2038|ionic|east|valve|23|held
1958|ember|west|gasket|58|paid
1785|gale|north|panel|74|held
2337|gale|south|pump|54|pending
2261|birch|west|valve|90|held
2028|gale|east|frame|61|pending
2362|acme|north|valve|12|paid
2315|birch|east|gasket|75|held
1708|gale|south|panel|30|held
2100|cobalt|south|valve|45|paid
1517|fulton|south|pump|76|shipped
2006|fulton|west|cable|15|pending
1621|birch|south|cable|69|paid
1883|cobalt|south|valve|94|pending
1705|acme|west|rotor|14|paid
1875|cobalt|east|frame|90|paid
1235|dorian|south|rotor|23|pending
1798|harbor|west|sensor|40|pending
2268|fulton|east|gasket|87|held
2283|cobalt|south|cable|17|held
1217|dorian|north|gasket|58|pending
2095|cobalt|south|sensor|47|pending
1393|gale|east|panel|89|shipped
2311|gale|west|cable|70|paid
1493|fulton|south|sensor|71|held
1314|gale|west|pump|25|held
2221|gale|north|panel|54|held
1547|gale|south|pump|66|shipped
1304|birch|west|pump|82|paid
2214|ionic|west|valve|73|pending
1692|gale|south|panel|10|paid
1974|cobalt|south|valve|46|pending
1298|birch|east|pump|45|shipped
2356|juno|east|gasket|18|held
2172|cobalt|west|valve|43|held
1594|acme|south|pump|96|held
1359|acme|north|rotor|63|shipped
2210|juno|north|rotor|38|shipped
1445|dorian|east|panel|26|pending
1541|birch|east|rotor|45|shipped
2293|cobalt|north|rotor|53|pending
1426|ionic|south|sensor|38|paid
1281|juno|west|sensor|40|paid
1981|gale|east|cable|32|held
1521|birch|north|sensor|76|pending
2276|harbor|west|pump|22|pending
1970|birch|south|panel|21|paid
1207|dorian|north|frame|32|pending
1507|juno|east|sensor|75|paid
1282|birch|east|cable|45|paid
1308|dorian|south|cable|72|paid
2145|harbor|south|gasket|57|pending
2151|dorian|west|pump|28|paid
1768|birch|east|pump|46|paid
1413|fulton|north|pump|24|pending
1926|harbor|west|valve|87|paid
1652|ionic|west|gasket|37|shipped
2270|fulton|north|pump|74|held
1952|ionic|north|valve|79|pending
1740|ionic|west|cable|71|paid
2243|birch|west|frame|27|paid
2322|juno|east|sensor|41|shipped
1453|harbor|north|gasket|95|paid
2278|acme|east|panel|32|paid
2069|gale|west|gasket|80|pending
1345|birch|west|valve|94|pending
1685|cobalt|east|gasket|26|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.deploy-v1conf 88% · 790ms · $0.019 · 290 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)
- auth-svc: billing, reports
- notifier: billing
- reports: notifier

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}} ]
correctagentic.tools.triage-v1conf 92% · 2.8s · $0.026 · 370 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
- payments → tanaka
- auth → novak

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 7)
2. "dashboard shows stale numbers" (category: data, priority 7)
3. "locked out after 2FA change" (category: auth, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}} ]
correctagentic.tools.deploy-v1conf 92% · 2.0s · $0.021 · 321 tok
question
You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}} ]
correctagentic.tools.ledger-v1conf 96% · 1.1s · $0.028 · 432 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: $325
- alpha: $653
- kilo: $594

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $227 from "kilo" to "alpha"
2. pay $246 from "kilo" to "oscar"
3. pay $571 from "oscar" to "kilo"
4. pay $396 from "kilo" to "oscar"
5. pay $84 from "oscar" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 227}}, {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 246}}, {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 571}}, {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 396}}, {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 84}} ]
correctagentic.tools.triage-v1conf 80% · 960ms · $0.042 · 690 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
- payments → rivera
- infra → chen

INCIDENTS:
1. "cannot reset password" (category: auth, priority 2)
2. "refund double-charged" (category: payments, priority 7)
3. "refund double-charged" (category: payments, priority 7)
4. "cannot reset password" (category: auth, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}} ]
wrongagentic.tools.context-load-v1conf · 3.9s · $0.037 · 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 (192 records, format: id|customer|region|item|qty|status):
```
1200|acme|south|rotor|71|pending
1654|birch|north|frame|33|held
1616|ember|north|pump|51|pending
1468|juno|west|valve|14|shipped
1362|gale|east|panel|26|paid
1545|cobalt|west|frame|59|pending
1801|dorian|south|frame|69|shipped
1871|ionic|east|rotor|71|paid
1554|birch|north|valve|80|paid
1265|cobalt|east|frame|30|paid
1199|acme|west|cable|36|pending
1442|ember|west|cable|95|held
1400|acme|south|frame|11|pending
1452|ionic|east|frame|77|shipped
1674|acme|north|sensor|27|pending
1592|dorian|north|rotor|37|paid
1624|acme|west|rotor|32|held
1397|cobalt|west|panel|29|pending
1933|dorian|east|pump|99|held
1432|ember|west|sensor|37|pending
1712|birch|east|panel|16|pending
1578|dorian|east|frame|30|paid
1737|birch|north|panel|40|pending
1775|acme|south|sensor|26|held
1682|dorian|south|gasket|86|pending
1783|fulton|north|panel|57|shipped
1749|ionic|north|valve|95|shipped
1688|gale|east|frame|58|held
1814|gale|north|cable|77|pending
1446|harbor|east|sensor|26|held
1481|fulton|north|sensor|28|held
1717|acme|north|pump|29|held
1396|acme|east|panel|39|held
1238|acme|west|panel|43|pending
1887|ionic|west|cable|82|pending
1325|acme|north|cable|37|shipped
1372|harbor|north|rotor|55|held
1591|dorian|east|pump|99|shipped
1460|acme|south|rotor|79|held
1752|cobalt|north|pump|52|held
1539|juno|east|sensor|27|pending
1514|birch|east|sensor|86|held
1314|acme|east|panel|73|paid
1891|birch|north|rotor|53|pending
1341|birch|south|frame|54|shipped
1466|ionic|west|sensor|35|paid
1271|cobalt|west|gasket|64|pending
1476|acme|south|sensor|49|paid
1637|gale|west|sensor|37|held
1309|harbor|east|cable|85|shipped
1601|ember|east|rotor|34|shipped
1886|fulton|south|rotor|93|paid
1258|harbor|east|frame|43|shipped
1722|birch|east|frame|33|paid
1206|acme|west|sensor|33|shipped
1256|acme|west|frame|86|held
1854|harbor|south|rotor|13|paid
1490|juno|west|sensor|77|shipped
1279|dorian|north|sensor|48|shipped
1692|cobalt|south|sensor|35|held
1703|dorian|east|sensor|53|shipped
1658|gale|west|rotor|39|paid
1689|gale|north|frame|37|pending
1799|birch|west|rotor|58|shipped
1937|gale|east|frame|17|shipped
1821|harbor|south|pump|97|shipped
1345|ember|west|rotor|38|pending
1389|cobalt|west|panel|29|shipped
1645|dorian|west|cable|72|shipped
1598|ionic|east|sensor|86|paid
1919|juno|east|panel|85|pending
1675|cobalt|west|pump|99|paid
1533|acme|west|valve|33|paid
1383|birch|north|frame|15|held
1295|birch|north|rotor|22|paid
1813|fulton|west|panel|38|shipped
1796|harbor|west|rotor|25|paid
1340|birch|east|pump|45|held
1788|ionic|east|valve|14|held
1360|dorian|west|pump|42|pending
1861|gale|north|gasket|66|paid
1791|dorian|east|panel|28|shipped
1921|harbor|south|cable|40|held
1650|ionic|east|panel|40|shipped
1870|ember|south|gasket|75|shipped
1489|gale|south|rotor|45|shipped
1608|cobalt|north|panel|93|held
1266|acme|north|cable|73|held
1707|acme|east|pump|99|pending
1843|fulton|south|cable|10|held
1881|gale|west|panel|97|paid
1239|acme|east|sensor|38|pending
1497|cobalt|south|gasket|62|held
1772|harbor|west|rotor|77|shipped
1520|cobalt|east|gasket|57|pending
1505|birch|east|rotor|19|shipped
1867|birch|north|panel|49|held
1369|acme|west|cable|78|shipped
1856|dorian|west|rotor|66|paid
1835|dorian|south|panel|34|paid
1417|ember|south|valve|31|shipped
1618|dorian|west|gasket|53|shipped
1763|ember|east|gasket|94|shipped
1630|ember|west|sensor|99|pending
1728|cobalt|east|frame|69|paid
1406|harbor|north|valve|66|paid
1731|gale|east|frame|73|paid
1290|ionic|west|pump|90|shipped
1903|ionic|north|panel|21|held
1925|birch|west|pump|95|held
1787|gale|east|rotor|83|held
1849|gale|east|sensor|41|shipped
1217|acme|west|rotor|22|paid
1328|acme|west|frame|40|shipped
1580|juno|north|cable|17|shipped
1560|acme|east|valve|41|held
1839|gale|north|cable|47|held
1359|juno|north|sensor|48|paid
1780|gale|east|valve|10|held
1615|gale|south|sensor|23|shipped
1329|ionic|south|frame|32|shipped
1447|acme|south|gasket|87|pending
1435|juno|south|rotor|27|shipped
1355|birch|north|pump|56|pending
1212|acme|east|valve|67|pending
1499|ionic|west|rotor|22|paid
1723|dorian|south|gasket|32|pending
1283|birch|east|sensor|39|held
1461|fulton|south|frame|33|shipped
1642|harbor|south|gasket|45|pending
1931|ember|west|panel|25|held
1573|dorian|west|valve|55|held
1333|harbor|west|panel|67|held
1552|juno|west|gasket|76|held
1351|ionic|west|rotor|38|held
1527|birch|west|cable|20|paid
1434|juno|south|panel|96|held
1448|gale|west|sensor|42|held
1878|birch|east|valve|64|shipped
1275|ember|north|sensor|31|paid
1370|juno|south|cable|56|shipped
1224|acme|west|panel|29|pending
1251|acme|south|valve|44|pending
1858|ionic|west|panel|79|shipped
1411|juno|east|pump|25|pending
1427|acme|north|valve|16|shipped
1916|juno|south|pump|75|pending
1243|acme|west|sensor|35|shipped
1455|acme|north|frame|49|shipped
1320|fulton|west|valve|36|pending
1828|birch|south|cable|12|paid
1885|juno|south|panel|49|shipped
1756|acme|south|frame|12|held
1842|juno|south|valve|64|paid
1566|dorian|west|rotor|11|held
1546|juno|west|rotor|84|shipped
1726|birch|west|panel|32|shipped
1607|dorian|west|panel|79|pending
1771|dorian|east|panel|36|pending
1767|ember|south|panel|20|held
1207|acme|west|pump|36|pending
1512|birch|west|frame|97|pending
1655|cobalt|south|pump|20|pending
1631|juno|west|cable|41|held
1541|dorian|north|cable|64|shipped
1629|birch|south|rotor|11|shipped
1302|ember|east|gasket|13|held
1473|juno|south|frame|98|shipped
1805|cobalt|west|valve|10|pending
1790|ionic|west|valve|88|held
1907|ionic|north|pump|79|paid
1376|juno|west|valve|31|shipped
1661|dorian|north|gasket|44|held
1665|ember|west|rotor|62|paid
1395|harbor|south|rotor|98|held
1462|fulton|north|gasket|67|paid
1236|acme|west|rotor|36|shipped
1585|cobalt|north|sensor|74|shipped
1229|acme|south|gasket|76|pending
1932|harbor|north|pump|48|shipped
1424|juno|north|cable|98|held
1910|ember|south|pump|20|paid
1729|fulton|west|pump|44|held
1909|ionic|south|valve|44|shipped
1713|fulton|north|panel|33|shipped
1806|acme|west|valve|42|held
1488|ionic|south|cable|42|held
1743|dorian|north|sensor|53|held
1696|ember|north|sensor|40|paid
1247|acme|west|rotor|94|pending
1897|juno|east|rotor|74|paid
1670|fulton|west|pump|86|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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)
correctagentic.tools.deploy-v1conf 92% · 850ms · $0.019 · 273 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}} ]
correctagentic.tools.ledger-v1conf 96% · 1.4s · $0.037 · 608 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: $555
- lima: $164
- bravo: $575

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $366 from "bravo" to "oscar"
2. pay $269 from "lima" to "bravo"
3. pay $519 from "lima" to "oscar"
4. pay $82 from "lima" to "oscar"
5. pay $560 from "lima" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 366}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 105}}, {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 269}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 519}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 519}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 82}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 82}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 560}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 560}} ]
wrongagentic.tools.context-load-v1conf · 20.6s · $0.053 · 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 (286 records, format: id|customer|region|item|qty|status):
```
1363|acme|east|panel|16|shipped
1157|dorian|south|pump|73|paid
1270|birch|north|sensor|86|shipped
1615|juno|west|cable|47|pending
2016|gale|north|cable|50|pending
1799|fulton|west|gasket|35|paid
2007|ionic|south|sensor|78|paid
1530|ember|east|cable|71|paid
2044|acme|east|rotor|97|pending
1513|cobalt|north|valve|10|paid
1771|juno|east|rotor|15|held
1406|gale|south|frame|98|held
1326|birch|east|cable|54|held
1343|ember|north|panel|15|held
1112|acme|south|panel|10|shipped
2147|dorian|west|rotor|19|pending
1640|fulton|south|gasket|16|held
2166|dorian|west|cable|21|paid
1292|gale|east|valve|76|paid
1847|ionic|east|pump|32|pending
2027|ember|north|rotor|50|held
1659|harbor|south|panel|74|shipped
2158|cobalt|south|valve|55|pending
1966|ionic|south|sensor|72|shipped
1305|birch|south|rotor|94|held
1555|birch|south|rotor|57|shipped
2062|gale|north|gasket|20|shipped
1490|fulton|south|gasket|41|shipped
1678|dorian|south|cable|43|paid
1962|harbor|west|sensor|82|paid
2144|juno|east|gasket|54|shipped
1163|birch|east|valve|50|paid
1694|cobalt|south|gasket|93|shipped
1119|harbor|south|frame|66|shipped
1373|dorian|east|frame|99|held
1200|gale|south|sensor|99|pending
2020|juno|east|gasket|78|pending
2015|juno|north|rotor|42|held
1040|gale|west|pump|28|pending
2097|ionic|east|sensor|78|paid
1536|ionic|south|frame|69|paid
1501|harbor|north|gasket|84|shipped
1266|juno|east|frame|68|held
1234|dorian|east|pump|64|paid
1177|ionic|west|sensor|34|held
1860|cobalt|south|panel|83|shipped
1646|acme|west|valve|85|paid
1211|cobalt|west|frame|29|shipped
1444|birch|south|gasket|46|shipped
1832|ionic|south|frame|73|shipped
2182|birch|north|cable|86|pending
2175|dorian|south|sensor|42|pending
1114|gale|west|sensor|92|held
1046|gale|south|gasket|72|pending
1973|fulton|north|panel|67|pending
1149|fulton|south|valve|65|paid
1316|fulton|north|pump|36|paid
1705|juno|north|valve|80|paid
1422|birch|north|sensor|37|held
1182|cobalt|south|frame|68|paid
1337|birch|west|sensor|47|pending
1702|harbor|east|sensor|16|paid
1975|ionic|east|valve|62|pending
1339|fulton|north|cable|16|shipped
1979|gale|east|panel|88|held
1332|ionic|south|cable|52|pending
1715|harbor|north|panel|85|held
1069|gale|west|rotor|37|pending
1648|juno|south|pump|96|held
1821|acme|south|valve|62|held
1146|birch|south|cable|94|shipped
2041|fulton|north|sensor|87|held
2199|gale|south|pump|55|pending
1393|dorian|north|valve|77|shipped
2056|birch|south|gasket|49|paid
1794|gale|west|gasket|80|paid
2124|dorian|north|valve|87|paid
1680|juno|south|gasket|49|pending
1925|harbor|south|pump|46|pending
2204|fulton|east|pump|42|held
1999|fulton|south|frame|27|paid
1823|acme|south|rotor|43|shipped
2159|harbor|west|frame|20|paid
1970|fulton|south|pump|33|pending
1560|juno|east|pump|47|held
1279|ember|east|cable|21|paid
1111|ember|east|rotor|73|shipped
2104|cobalt|east|gasket|55|paid
1914|gale|west|gasket|17|held
1775|fulton|west|gasket|18|held
1526|ionic|south|gasket|89|held
1082|gale|west|panel|93|pending
1475|acme|south|sensor|52|pending
2050|fulton|east|frame|53|pending
1452|ember|east|gasket|54|pending
1377|fulton|east|frame|62|pending
1054|gale|west|cable|64|pending
2131|acme|south|valve|71|shipped
1473|acme|east|sensor|45|held
1549|harbor|south|valve|98|shipped
1445|harbor|south|gasket|50|pending
1458|ember|north|gasket|98|shipped
1805|harbor|south|rotor|62|pending
1242|juno|west|rotor|67|held
1626|ember|north|valve|39|held
1078|gale|west|rotor|81|shipped
1208|ionic|north|gasket|50|paid
2141|gale|north|cable|43|shipped
1061|gale|south|sensor|30|pending
1793|cobalt|north|frame|89|pending
1403|birch|north|sensor|70|shipped
2034|fulton|north|cable|63|paid
1777|cobalt|east|frame|20|shipped
1900|juno|east|cable|22|paid
1213|juno|west|pump|59|paid
1170|birch|north|panel|33|shipped
1321|cobalt|west|sensor|19|pending
1872|gale|east|valve|56|held
1809|acme|south|pump|75|shipped
1361|acme|east|frame|65|pending
1086|gale|north|cable|19|pending
2148|gale|east|frame|13|shipped
1986|dorian|north|pump|29|held
2053|dorian|north|cable|32|shipped
1215|cobalt|south|panel|44|paid
1260|juno|south|pump|42|paid
1674|acme|south|rotor|54|pending
1357|dorian|east|sensor|36|shipped
1472|birch|north|cable|49|held
1589|acme|east|cable|28|shipped
2069|juno|west|cable|53|shipped
1345|birch|north|frame|39|shipped
1686|juno|east|valve|81|shipped
1713|dorian|south|gasket|34|paid
2013|harbor|west|frame|14|held
1156|harbor|south|valve|13|pending
1381|gale|south|valve|53|pending
1148|cobalt|east|sensor|95|shipped
2180|fulton|south|frame|85|pending
1353|dorian|north|gasket|25|paid
1721|cobalt|west|cable|22|shipped
1136|gale|south|gasket|48|shipped
1423|dorian|south|pump|98|paid
2146|fulton|south|rotor|61|shipped
1879|ionic|south|rotor|24|shipped
1622|ionic|north|panel|38|held
2063|acme|west|sensor|51|paid
2089|acme|north|frame|18|held
1943|gale|north|gasket|71|held
1610|gale|east|panel|57|held
1691|juno|south|rotor|63|paid
1838|birch|south|rotor|76|paid
1323|ionic|west|sensor|19|paid
1176|gale|east|panel|39|shipped
1906|birch|south|gasket|49|pending
2119|juno|south|rotor|97|paid
1129|gale|south|cable|51|held
1873|juno|south|cable|95|held
2152|fulton|south|pump|18|held
1692|harbor|north|frame|53|paid
1201|acme|west|panel|31|pending
1520|dorian|south|rotor|12|shipped
2003|birch|north|panel|74|pending
1748|fulton|south|pump|60|pending
1063|gale|west|cable|42|paid
1098|juno|east|panel|85|shipped
1955|birch|north|rotor|40|shipped
1137|ionic|east|gasket|61|pending
1075|gale|south|rotor|50|pending
1886|harbor|west|panel|57|shipped
2169|birch|north|gasket|14|shipped
1597|ionic|north|frame|85|held
2008|harbor|north|panel|71|paid
1726|birch|east|sensor|50|shipped
1927|dorian|south|panel|96|shipped
1829|gale|east|frame|72|pending
1195|fulton|north|gasket|62|paid
2122|cobalt|west|gasket|29|paid
2032|dorian|east|frame|36|held
2114|dorian|north|rotor|16|held
1661|dorian|south|gasket|81|paid
2187|ionic|west|rotor|86|paid
1573|dorian|south|gasket|85|pending
1662|dorian|south|pump|20|paid
1845|cobalt|north|cable|18|paid
1942|dorian|north|gasket|83|held
2145|fulton|west|rotor|53|held
2136|ionic|east|cable|94|pending
1492|ember|south|gasket|79|pending
1426|juno|west|cable|17|held
1320|birch|south|panel|24|pending
1787|cobalt|north|pump|50|held
1764|birch|north|pump|53|held
1238|ionic|north|frame|11|held
1603|ember|east|pump|81|paid
1052|gale|west|sensor|78|shipped
1695|fulton|south|rotor|42|held
1367|dorian|north|valve|14|shipped
1448|cobalt|west|gasket|14|pending
1140|acme|west|valve|76|paid
1867|ionic|east|cable|40|paid
1198|birch|south|valve|27|shipped
1991|dorian|north|cable|38|paid
1983|harbor|west|frame|61|held
1633|fulton|north|gasket|39|held
1732|acme|south|cable|51|paid
1976|dorian|north|frame|87|pending
1825|ember|north|cable|74|pending
2192|ember|south|pump|73|shipped
1903|acme|east|frame|28|paid
1397|dorian|west|sensor|29|pending
1784|cobalt|north|cable|65|shipped
1813|juno|north|cable|99|held
2202|dorian|south|gasket|16|pending
1122|acme|south|cable|81|pending
1489|juno|west|frame|73|shipped
1456|cobalt|east|rotor|90|pending
1347|fulton|north|rotor|44|held
1133|harbor|north|sensor|15|shipped
2096|cobalt|east|rotor|62|pending
1893|birch|north|gasket|91|held
1916|ionic|east|cable|90|paid
1582|cobalt|south|pump|78|shipped
1189|dorian|south|pump|37|held
1913|dorian|east|panel|74|pending
1386|cobalt|south|cable|89|paid
1952|ember|west|panel|85|paid
1450|ionic|west|frame|77|pending
1311|gale|north|cable|66|pending
2110|birch|east|gasket|78|held
1412|harbor|west|valve|20|paid
2076|ionic|east|pump|62|paid
1935|fulton|east|cable|23|held
1950|birch|south|pump|33|shipped
1766|birch|west|frame|74|held
1540|cobalt|west|panel|88|pending
2067|dorian|north|frame|25|held
1255|gale|north|cable|80|shipped
1854|gale|north|sensor|64|paid
1417|ionic|south|panel|58|pending
2111|ionic|north|frame|31|pending
2193|harbor|south|panel|71|paid
1567|ionic|east|sensor|70|shipped
1265|dorian|south|panel|52|held
1092|gale|west|pump|88|shipped
1275|gale|east|sensor|98|held
1818|ember|north|rotor|95|held
1439|harbor|north|frame|71|pending
2165|birch|west|sensor|84|pending
1455|fulton|east|panel|13|paid
2087|harbor|north|panel|82|shipped
1758|harbor|east|pump|10|shipped
1432|birch|north|panel|96|shipped
1655|dorian|west|gasket|31|pending
1926|fulton|north|valve|41|pending
1918|gale|east|gasket|96|paid
1222|fulton|north|gasket|72|held
1249|ionic|north|panel|90|pending
1227|dorian|north|sensor|73|shipped
2206|juno|west|rotor|99|held
1508|acme|north|cable|21|paid
1741|birch|north|frame|53|held
2025|ionic|north|rotor|98|pending
1789|ionic|west|frame|89|shipped
1579|acme|north|valve|41|shipped
1252|cobalt|south|sensor|81|held
1753|harbor|west|pump|68|pending
1929|dorian|north|panel|14|pending
1164|ionic|south|cable|29|held
2081|gale|east|sensor|96|held
1667|cobalt|east|frame|27|shipped
1710|dorian|north|frame|82|paid
1372|fulton|west|frame|46|pending
1482|juno|north|valve|95|pending
1105|cobalt|north|panel|22|pending
1299|birch|north|valve|21|shipped
1465|ember|east|panel|72|pending
1285|dorian|north|panel|44|shipped
1171|ionic|west|rotor|29|paid
1542|acme|south|valve|38|paid
1995|gale|east|gasket|42|pending
1698|juno|north|panel|25|shipped
2118|juno|south|sensor|64|shipped
1738|gale|north|pump|24|held
1499|dorian|east|pump|38|shipped
1593|gale|north|rotor|10|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.triage-v1conf 88% · 2.1s · $0.033 · 498 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 → silva
- infra → chen
- payments → novak

INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "API latency spikes" (category: infra, priority 3)
3. "cannot reset password" (category: auth, priority 6)
4. "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": "silva"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.deploy-v1conf 92% · 15.4s · $0.016 · 217 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: gateway
- search: (none)
- billing: search
- gateway: search

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1conf 98% · 921ms · $0.025 · 386 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: $448
- bravo: $214
- tango: $549

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $369 from "echo" to "tango"
2. pay $470 from "bravo" to "echo"
3. pay $430 from "tango" to "echo"
4. pay $220 from "echo" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 369}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 256}}, {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 470}}, {"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 430}}, {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 220}} ]
correctagentic.tools.triage-v1conf 92% · 1.3s · $0.024 · 330 tok
question
You operate a support desk strictly through tool calls.

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

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 92% · 1.7s · $0.018 · 261 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: billing
- notifier: billing
- gateway: notifier

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}} ]
wrongagentic.tools.context-load-v1conf · 1.1s · $0.029 · 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 (139 records, format: id|customer|region|item|qty|status):
```
1497|cobalt|south|gasket|75|held
1298|cobalt|east|gasket|51|paid
1540|acme|east|cable|21|shipped
1430|juno|north|cable|87|shipped
1262|cobalt|north|valve|69|pending
1720|ember|north|frame|39|shipped
1350|dorian|east|frame|75|paid
1464|birch|east|pump|45|pending
1458|cobalt|north|pump|56|shipped
1404|birch|west|frame|37|held
1335|harbor|west|panel|77|shipped
1429|ember|east|cable|96|held
1652|harbor|south|sensor|86|shipped
1374|gale|west|frame|91|pending
1550|fulton|north|sensor|92|pending
1771|fulton|east|frame|52|paid
1538|juno|west|rotor|57|pending
1716|harbor|north|pump|15|pending
1329|ember|north|sensor|27|pending
1479|cobalt|north|cable|92|shipped
1440|gale|north|frame|96|shipped
1516|acme|west|panel|85|shipped
1684|ember|west|panel|90|held
1608|ionic|west|gasket|67|held
1396|juno|west|pump|40|paid
1691|juno|east|cable|48|shipped
1363|juno|south|valve|49|paid
1675|ember|east|gasket|61|paid
1702|dorian|north|cable|36|held
1348|juno|west|gasket|26|held
1244|cobalt|east|gasket|12|pending
1638|ember|east|rotor|15|paid
1467|gale|north|valve|71|paid
1505|gale|west|cable|81|held
1677|harbor|west|pump|28|pending
1737|ember|east|valve|92|shipped
1582|gale|east|cable|35|paid
1471|ionic|west|panel|98|paid
1565|ionic|south|pump|17|held
1777|acme|north|frame|90|shipped
1750|fulton|west|panel|78|pending
1544|fulton|west|pump|54|held
1622|cobalt|north|rotor|35|pending
1725|birch|west|sensor|48|pending
1378|fulton|south|pump|81|shipped
1738|juno|north|cable|99|paid
1418|ionic|south|pump|80|shipped
1721|dorian|west|sensor|84|pending
1393|ionic|north|valve|32|pending
1606|ember|south|frame|60|pending
1525|acme|south|frame|23|pending
1647|acme|east|pump|35|shipped
1602|gale|north|sensor|13|held
1281|cobalt|south|gasket|84|pending
1461|fulton|east|pump|78|held
1644|harbor|south|frame|85|pending
1670|juno|south|valve|75|shipped
1308|cobalt|east|gasket|40|paid
1425|gale|south|sensor|48|shipped
1671|ember|west|gasket|43|held
1757|ionic|north|pump|25|held
1599|acme|north|gasket|27|paid
1473|gale|west|gasket|29|held
1321|ionic|east|rotor|33|shipped
1559|juno|south|cable|62|paid
1501|gale|north|pump|18|paid
1442|harbor|south|gasket|52|held
1763|ember|south|panel|81|paid
1494|juno|west|rotor|48|shipped
1361|cobalt|west|frame|71|shipped
1360|cobalt|east|frame|84|held
1282|cobalt|east|sensor|89|held
1359|harbor|south|valve|25|held
1665|juno|west|valve|47|held
1513|acme|west|gasket|41|pending
1509|fulton|east|rotor|70|pending
1576|birch|north|cable|73|paid
1694|ionic|west|gasket|96|held
1327|dorian|east|panel|26|paid
1288|cobalt|east|frame|17|pending
1648|ionic|north|valve|81|shipped
1382|birch|south|frame|60|shipped
1301|cobalt|north|gasket|21|pending
1315|harbor|north|frame|60|shipped
1519|birch|west|panel|26|shipped
1569|harbor|north|pump|89|paid
1338|acme|south|gasket|36|paid
1620|dorian|west|frame|42|paid
1354|birch|east|sensor|90|shipped
1451|ionic|south|sensor|57|held
1421|harbor|east|pump|28|paid
1709|gale|south|frame|82|held
1511|harbor|south|pump|79|pending
1482|gale|east|cable|53|shipped
1352|harbor|south|rotor|49|shipped
1696|cobalt|north|sensor|77|held
1387|juno|east|rotor|49|held
1529|harbor|west|sensor|75|paid
1586|dorian|east|frame|20|shipped
1758|birch|east|frame|29|pending
1570|birch|east|sensor|41|paid
1300|cobalt|east|valve|14|pending
1635|cobalt|south|pump|24|held
1764|fulton|south|frame|39|paid
1343|ionic|north|valve|85|paid
1434|dorian|west|sensor|91|pending
1485|dorian|west|cable|32|shipped
1412|harbor|south|frame|18|pending
1251|cobalt|north|frame|83|pending
1593|acme|east|panel|10|paid
1662|acme|north|rotor|72|shipped
1523|ionic|south|panel|28|pending
1370|birch|north|gasket|37|shipped
1268|cobalt|east|pump|86|shipped
1566|cobalt|west|gasket|60|shipped
1259|cobalt|east|valve|88|pending
1553|cobalt|north|cable|23|paid
1531|ember|north|panel|34|held
1628|juno|east|rotor|37|pending
1397|dorian|east|sensor|60|held
1745|fulton|west|sensor|49|shipped
1512|fulton|south|panel|40|shipped
1255|cobalt|east|valve|20|paid
1678|cobalt|east|rotor|81|held
1474|fulton|west|cable|64|shipped
1731|dorian|east|valve|28|held
1630|dorian|north|sensor|20|pending
1613|dorian|north|frame|93|held
1411|dorian|east|sensor|73|held
1617|birch|east|frame|46|shipped
1655|cobalt|east|panel|53|paid
1604|ionic|south|pump|31|held
1291|cobalt|south|pump|90|pending
1441|harbor|east|gasket|95|paid
1445|dorian|north|gasket|61|shipped
1492|ember|east|sensor|62|held
1275|cobalt|east|panel|85|pending
1398|acme|north|frame|51|paid
1598|ember|west|rotor|92|paid
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.ledger-v1conf 98% · 1.8s · $0.024 · 345 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: $648
- alpha: $463
- tango: $829

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $236 from "oscar" to "alpha"
2. pay $137 from "alpha" to "oscar"
3. pay $421 from "alpha" to "tango"
4. pay $217 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": "oscar", "to": "alpha", "amount": 236}}, {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 137}}, {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 421}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 217}} ]
correctagentic.tools.triage-v1conf 76% · 967ms · $0.043 · 704 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 → rivera
- payments → chen
- infra → dubois

INCIDENTS:
1. "export file corrupted" (category: data, priority 2)
2. "export file corrupted" (category: data, priority 2)
3. "webhooks not delivered" (category: infra, priority 8)
4. "export file corrupted" (category: data, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "rivera"}} ]
correctagentic.tools.deploy-v1conf 92% · 709ms · $0.018 · 265 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: reports
- reports: (none)
- notifier: auth-svc
- gateway: 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": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
wrongagentic.tools.context-load-v1conf · 1.1s · $0.054 · 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 (294 records, format: id|customer|region|item|qty|status):
```
1748|dorian|east|sensor|67|pending
2500|juno|east|valve|22|pending
2482|fulton|west|valve|10|held
2024|birch|south|frame|10|shipped
1455|fulton|south|gasket|44|pending
2198|dorian|west|cable|16|held
2584|cobalt|west|frame|48|shipped
2574|juno|west|gasket|42|held
1718|gale|south|valve|21|shipped
2004|birch|south|gasket|38|pending
2436|ember|west|sensor|63|held
1810|ionic|east|frame|53|paid
1516|gale|east|pump|13|shipped
1794|ember|west|sensor|68|pending
1833|gale|north|pump|17|pending
2161|gale|west|panel|29|pending
1546|gale|west|frame|18|held
1704|acme|north|frame|82|pending
2452|ionic|west|gasket|16|shipped
2148|dorian|north|sensor|35|paid
1811|harbor|west|panel|95|pending
2145|cobalt|north|rotor|22|paid
2473|fulton|south|pump|47|held
2405|acme|south|panel|54|held
2398|acme|west|rotor|50|paid
1896|ionic|west|frame|49|paid
2345|juno|east|panel|85|pending
1668|cobalt|north|sensor|16|held
1467|dorian|south|cable|56|pending
2531|harbor|north|pump|30|paid
2357|ember|west|panel|17|pending
1619|gale|north|valve|57|shipped
1653|cobalt|south|sensor|53|held
2417|gale|west|cable|29|pending
1573|dorian|north|gasket|82|held
2228|harbor|west|pump|92|shipped
2171|birch|south|rotor|99|held
2566|harbor|west|sensor|83|held
2362|birch|west|valve|29|paid
1994|acme|west|frame|65|pending
1550|dorian|west|valve|23|pending
2282|ionic|south|pump|62|pending
2263|fulton|south|valve|70|paid
2217|acme|south|rotor|35|shipped
1435|fulton|east|valve|25|pending
1651|juno|south|frame|49|held
2364|ionic|north|cable|47|held
1518|juno|north|panel|70|shipped
2503|ember|north|pump|37|pending
2329|fulton|east|frame|62|pending
2350|cobalt|west|frame|10|held
2511|cobalt|west|gasket|97|pending
2303|dorian|north|panel|53|pending
1681|ember|east|valve|21|held
2320|acme|east|rotor|95|pending
1456|fulton|east|panel|90|paid
2567|ember|west|panel|40|held
2066|birch|north|gasket|56|held
1765|ember|south|sensor|16|held
2429|ionic|south|pump|23|held
2230|gale|north|panel|76|paid
1570|gale|south|pump|38|paid
2034|ionic|west|valve|71|held
2495|harbor|west|frame|83|held
2372|juno|south|frame|80|pending
1976|ember|west|valve|58|pending
2530|dorian|south|frame|74|paid
1876|gale|west|pump|97|held
2040|birch|east|sensor|17|pending
1729|ionic|south|panel|94|held
2013|ionic|north|gasket|21|paid
1433|fulton|east|sensor|57|paid
1594|fulton|south|gasket|14|held
1481|cobalt|north|pump|39|paid
2468|acme|south|pump|64|held
1511|ionic|east|panel|18|paid
2438|harbor|north|frame|14|paid
2461|harbor|north|gasket|60|shipped
1524|ember|north|valve|57|paid
2272|gale|north|rotor|44|pending
1905|acme|south|gasket|75|held
2411|harbor|south|frame|99|pending
2385|juno|east|frame|14|held
2225|cobalt|west|pump|14|pending
2001|juno|west|gasket|28|paid
2166|dorian|north|pump|75|pending
2527|fulton|north|frame|94|pending
1828|ember|west|sensor|94|paid
2157|acme|east|valve|40|paid
1595|ionic|east|pump|88|held
2520|ionic|south|cable|65|shipped
2309|ember|east|gasket|24|paid
2196|harbor|south|frame|42|held
1983|acme|east|sensor|49|held
1893|juno|east|sensor|51|held
2287|ember|north|valve|25|shipped
1958|ember|north|pump|99|shipped
2107|harbor|east|gasket|99|pending
2337|gale|west|rotor|39|paid
2222|juno|south|rotor|98|shipped
2089|gale|west|cable|34|shipped
2011|ionic|west|panel|29|pending
2205|acme|west|valve|83|shipped
2505|acme|south|pump|22|pending
2038|cobalt|east|panel|18|paid
2119|ionic|north|cable|33|paid
1662|acme|west|gasket|31|shipped
1823|cobalt|south|cable|64|pending
2085|fulton|north|rotor|32|paid
2449|birch|south|valve|55|pending
2545|ember|north|gasket|84|shipped
2197|birch|north|pump|40|shipped
1508|juno|west|pump|61|paid
2587|ionic|west|rotor|69|pending
1864|juno|east|rotor|73|pending
1605|acme|north|gasket|41|pending
1541|harbor|north|frame|15|held
1852|juno|south|sensor|41|shipped
2185|ember|east|rotor|10|pending
1959|ionic|north|panel|20|paid
1741|fulton|south|gasket|86|paid
2099|fulton|south|panel|71|pending
1773|birch|south|sensor|30|shipped
2056|harbor|west|rotor|15|pending
2020|ember|east|panel|64|held
2124|harbor|north|rotor|28|shipped
1970|cobalt|north|rotor|97|pending
1537|dorian|east|panel|74|shipped
1575|acme|north|pump|38|paid
2379|ionic|east|sensor|38|paid
2406|birch|north|valve|29|held
1939|juno|east|gasket|76|shipped
2266|ember|west|gasket|36|paid
2579|birch|east|pump|55|pending
2159|dorian|east|gasket|89|held
1885|dorian|south|rotor|47|held
1716|juno|north|pump|23|paid
1441|fulton|north|gasket|27|pending
2015|birch|west|sensor|45|pending
2095|ember|south|frame|18|paid
2324|juno|north|frame|51|pending
2447|fulton|west|sensor|86|pending
2275|dorian|east|valve|20|paid
1468|ember|north|gasket|25|held
2536|juno|west|cable|56|held
2131|juno|north|pump|80|paid
2045|ember|north|valve|76|pending
1709|birch|west|panel|71|held
1942|fulton|south|panel|16|held
2104|fulton|south|valve|22|pending
1808|harbor|west|gasket|51|held
1889|harbor|east|frame|94|paid
1625|fulton|south|frame|50|held
1839|fulton|south|sensor|19|shipped
1982|fulton|west|rotor|35|paid
1586|birch|east|frame|60|paid
1613|ember|north|frame|34|paid
1840|gale|south|pump|99|held
1929|fulton|west|gasket|51|shipped
1504|harbor|east|gasket|12|pending
2466|acme|north|gasket|10|held
2016|birch|south|pump|14|pending
1579|acme|south|panel|12|paid
2419|acme|north|panel|21|paid
1599|cobalt|north|frame|26|pending
2138|ember|north|frame|22|shipped
2052|cobalt|east|valve|96|paid
1795|dorian|east|sensor|45|paid
1767|gale|west|sensor|14|paid
2112|ember|east|gasket|69|paid
2336|ionic|south|gasket|15|shipped
1737|fulton|west|valve|83|pending
1932|juno|south|sensor|73|paid
2459|dorian|west|cable|26|shipped
1901|harbor|north|gasket|56|pending
1817|dorian|east|sensor|17|pending
2342|gale|east|cable|40|pending
1672|gale|south|panel|20|paid
2139|cobalt|west|panel|34|shipped
1690|cobalt|north|pump|52|held
2244|gale|north|sensor|88|pending
2062|cobalt|west|gasket|33|paid
2210|harbor|west|panel|19|shipped
2077|acme|north|rotor|31|shipped
2030|dorian|east|valve|68|paid
1922|gale|north|valve|79|paid
2257|dorian|south|gasket|42|held
2432|ember|west|rotor|76|pending
1698|birch|west|rotor|36|held
2392|dorian|west|pump|10|held
1726|harbor|west|cable|26|held
2060|ember|east|cable|75|pending
2110|ionic|south|frame|39|shipped
1951|acme|south|pump|11|pending
1769|dorian|north|panel|30|pending
1686|acme|south|pump|90|held
2314|harbor|east|valve|35|held
2293|ionic|north|valve|36|pending
1866|acme|south|frame|55|paid
2251|birch|east|sensor|92|held
1460|dorian|east|panel|38|pending
2296|fulton|north|pump|57|pending
1557|dorian|east|cable|13|held
1670|gale|north|cable|44|paid
1484|birch|east|rotor|52|paid
2321|ionic|west|cable|95|shipped
2561|birch|north|pump|76|held
2128|cobalt|west|valve|89|shipped
1461|birch|east|pump|55|paid
2310|birch|west|sensor|78|held
1659|birch|west|pump|19|paid
1779|dorian|east|rotor|33|held
1498|cobalt|north|panel|54|held
2522|ionic|east|cable|76|shipped
2071|gale|north|pump|16|pending
1734|cobalt|south|rotor|55|paid
1612|birch|west|pump|59|pending
1449|fulton|east|rotor|12|pending
1802|ionic|north|sensor|80|pending
2226|gale|south|cable|35|paid
1916|fulton|west|rotor|68|pending
2184|harbor|east|valve|47|held
2191|dorian|south|valve|69|paid
1785|gale|south|cable|76|held
1646|juno|north|frame|11|shipped
2108|ionic|north|frame|38|paid
1660|ionic|north|valve|40|held
2382|cobalt|east|rotor|92|paid
1878|ionic|east|cable|74|pending
2177|cobalt|east|valve|56|pending
1906|birch|east|pump|14|paid
1903|fulton|north|panel|47|held
1892|juno|east|panel|85|held
2253|harbor|east|frame|78|shipped
2232|ionic|west|cable|98|shipped
2214|birch|north|panel|94|shipped
1872|harbor|north|sensor|51|pending
2489|ember|south|gasket|14|held
1948|ionic|south|frame|72|pending
2286|gale|west|gasket|21|shipped
1859|birch|north|pump|94|shipped
1564|harbor|west|cable|27|pending
1494|cobalt|north|valve|64|shipped
1761|birch|south|gasket|51|held
2155|ember|south|panel|16|pending
1788|dorian|north|rotor|10|pending
1697|ember|west|cable|47|paid
1507|ionic|west|gasket|16|shipped
1590|cobalt|west|cable|48|shipped
2463|cobalt|east|rotor|28|pending
2555|fulton|east|cable|91|shipped
1712|acme|south|panel|29|pending
1848|ionic|east|rotor|16|pending
2240|birch|east|frame|77|held
1990|harbor|north|cable|83|pending
2541|dorian|north|valve|38|pending
1501|birch|east|pump|40|held
1965|birch|south|rotor|35|paid
1682|gale|north|frame|88|paid
1445|fulton|east|frame|16|paid
2427|acme|south|panel|91|shipped
2424|fulton|east|panel|94|held
1471|ionic|north|sensor|25|paid
2471|juno|west|sensor|60|paid
1528|dorian|south|valve|41|paid
2551|dorian|south|valve|40|held
1754|dorian|east|sensor|84|pending
1515|fulton|north|panel|56|paid
2332|ionic|east|sensor|28|pending
2515|fulton|north|rotor|65|pending
2441|gale|north|sensor|17|pending
1426|fulton|north|sensor|79|pending
2376|ember|east|gasket|14|held
1841|dorian|west|gasket|40|paid
1477|gale|south|valve|24|shipped
1679|dorian|east|sensor|86|paid
1719|harbor|west|cable|74|held
2022|acme|east|valve|85|pending
2236|gale|south|rotor|22|shipped
1419|fulton|east|valve|76|pending
1555|gale|east|valve|97|held
1639|harbor|east|cable|44|held
2477|acme|south|cable|39|pending
1851|ionic|east|valve|16|pending
1535|dorian|south|sensor|23|held
2078|juno|south|valve|46|held
2514|ember|south|gasket|78|pending
1909|ionic|north|rotor|92|held
2370|juno|east|sensor|81|held
1632|gale|west|frame|78|pending
2366|gale|west|rotor|75|paid
2129|birch|north|gasket|83|held
2073|gale|north|panel|87|pending
1490|dorian|east|cable|45|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.ledger-v1conf 96% · 1.1s · $0.031 · 500 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: $348
- bravo: $159
- delta: $715

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $566 from "bravo" to "delta"
2. pay $557 from "bravo" to "lima"
3. pay $302 from "bravo" to "lima"
4. pay $155 from "lima" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 407}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 566}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 557}}, {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 557}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 302}}, {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 302}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 155}} ]
correctagentic.tools.triage-v1conf 96% · 633ms · $0.027 · 387 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 → dubois
- payments → rivera
- auth → okafor

INCIDENTS:
1. "export file corrupted" (category: data, priority 9)
2. "export file corrupted" (category: data, priority 9)
3. "locked out after 2FA change" (category: auth, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}} ]
wrongagentic.tools.context-load-v1anchorconf · 3.4s · $0.037 · 4 tok
model answer: (none extracted)
correctagentic.tools.ledger-v1anchorconf 98% · 1.4s · $0.032 · 509 tok
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
correctagentic.tools.deploy-v1anchorconf 92% · 1.9s · $0.018 · 262 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% · 871ms · $0.030 · 450 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
code 28/30 correct
correctcode.trace.js-v1conf 100% · 10.0s · $0.019 · 342 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 210
correctcode.trace.nested-v1conf 99% · 865ms · $0.043 · 832 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 141
correctcode.trace.python-v1conf 99% · 3.2s · $0.027 · 508 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 13
while total + v <= 74:
    if v % 3 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 67
correctcode.trace.nested-v1conf 99% · 10.0s · $0.051 · 992 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 165
correctcode.trace.js-v1conf 100% · 972ms · $0.015 · 251 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 690
correctcode.trace.nested-v1conf 99% · 1.1s · $0.040 · 767 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctcode.trace.python-v1conf 99% · 1.1s · $0.034 · 652 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 10
while total + v <= 86:
    if v % 3 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 82
correctcode.trace.js-v1conf 100% · 1.2s · $0.017 · 301 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 36
correctcode.trace.js-v1conf 100% · 1.7s · $0.013 · 213 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 150
correctcode.trace.python-v1conf 99% · 854ms · $0.021 · 395 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 10
while total + v <= 57:
    if v % 3 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 27
correctcode.trace.nested-v1conf 99% · 1.3s · $0.039 · 741 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 147
correctcode.trace.python-v1conf 99% · 967ms · $0.022 · 403 tok
question
What does this Python program print?

```python
total = 0
v = 15
while total + v <= 106:
    if v % 4 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 81
correctcode.trace.js-v1conf 100% · 1.0s · $0.014 · 237 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 180
correctcode.trace.nested-v1conf 99% · 822ms · $0.040 · 762 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) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 135
correctcode.trace.js-v1conf 100% · 2.1s · $0.019 · 341 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [3, 4, 5, 6, 7, 8, 9];
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: 36
wrongcode.trace.python-v1conf · 1.0s · $0.002 · 10 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 12
while total + v <= 62:
    if v % 4 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.python-v1conf 99% · 949ms · $0.016 · 299 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 8
while total + v <= 35:
    if v % 4 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 17
wrongcode.trace.nested-v1conf · 1.8s · $0.002 · 3 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 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.js-v1conf 100% · 1.4s · $0.019 · 349 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 100
correctcode.trace.nested-v1conf 99% · 1.8s · $0.038 · 721 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 291
correctcode.trace.python-v1conf 99% · 992ms · $0.021 · 390 tok
question
What does this Python program print?

```python
total = 0
v = 1
while total + v <= 40:
    if v % 3 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 18
correctcode.trace.js-v1conf 100% · 1.2s · $0.015 · 262 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 * 3)
  .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: 120
correctcode.trace.nested-v1conf 99% · 983ms · $0.060 · 1155 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 291
correctcode.trace.python-v1conf 99% · 1.2s · $0.025 · 480 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 15
while total + v <= 106:
    if v % 7 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
correctcode.trace.nested-v1conf 99% · 1.7s · $0.051 · 988 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) % 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: 352
correctcode.trace.js-v1conf 99% · 1.2s · $0.015 · 266 tok
question
What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11];
const out = arr
  .map(n => n * 5)
  .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: 325
correctcode.trace.python-v1anchorconf 99% · 1.2s · $0.029 · 546 tok
model answer: 0
correctcode.trace.js-v1anchorconf 100% · 911ms · $0.016 · 276 tok
model answer: 63
correctcode.trace.nested-v1anchorconf 99% · 1.1s · $0.053 · 1029 tok
model answer: 283
correctcode.trace.python-v1anchorconf 99% · 1.1s · $0.019 · 351 tok
model answer: 40
instruction following 30/30 correct
correctif.constraints.stack-v1conf 92% · 966ms · $0.041 · 773 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "flint" and the last word must be "nova".
3. Use the word "drift" 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: flint sidewalks hum beneath neon signs as taxis drift past midnight windows, and slow shadows drift upward, crowning this restless city, a burning nova
correctif.format.acronym-v1conf 99% · 1.6s · $0.007 · 115 tok
question
Take the second letter of each of these words, in order: nova, cedar, prism, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OERE
correctif.format.repeat-v1conf 85% · 1.5s · $0.012 · 221 tok
question
Write the word "lumen" in capitalized form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lumen/Lumen/Lumen/Lumen/Lumen/Lumen
correctif.constraints.stack-v1conf 95% · 1.0s · $0.023 · 410 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "lumen" and the last word must be "prism".
3. Use the word "flint" 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: lumen spills over flint rooftops, and frost, sharp as flint, hardens the still air, turning each windowpane into a shining prism
correctif.format.repeat-v1conf 99% · 3.3s · $0.019 · 349 tok
question
Write the word "flint" 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: flint_flint_flint_flint_flint_flint_flint_flint_flint
correctif.format.acronym-v1conf 99% · 1.3s · $0.007 · 120 tok
question
Take the third letter of each of these words, in order: lumen, prism, falcon, basalt, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: MILSI
correctif.constraints.stack-v1conf 95% · 936ms · $0.026 · 477 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 "tundra".
3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon soared beyond wide oceans, riding one zephyr after another zephyr, crossing mountains, deserts, forests, rivers, before finally resting on frozen tundra
correctif.format.acronym-v1conf 99% · 1.3s · $0.010 · 178 tok
question
Take the third letter of each of these words, in order: tundra, comet, ember, basalt, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NMBSP
correctif.constraints.stack-v1conf 92% · 1.5s · $0.029 · 537 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "nova" and the last word must be "flint".
3. Use the word "lumen" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova, the old rusted engine still hums; its lumen fades, lumen dims, sparking dust from flint
correctif.format.repeat-v1conf 99% · 1.0s · $0.005 · 83 tok
question
Write the word "quartz" in uppercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: QUARTZ/QUARTZ/QUARTZ
correctif.format.acronym-v1conf 99% · 1.1s · $0.008 · 139 tok
question
Take the second letter of each of these words, in order: echo, basalt, comet, zephyr, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CAOEE
correctif.format.repeat-v1conf 82% · 1.5s · $0.012 · 213 tok
question
Write the word "falcon" in capitalized form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Falcon-Falcon-Falcon-Falcon-Falcon-Falcon-Falcon
correctif.constraints.stack-v1conf 92% · 1.5s · $0.020 · 359 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "zephyr" 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: zephyr carried one ember north, then another ember south, while travelers watched the slow drift
correctif.format.acronym-v1conf 99% · 1.4s · $0.013 · 223 tok
question
Take the third letter of each of these words, in order: drift, comet, quartz, orbit, zephyr, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: IMABPD
correctif.constraints.stack-v1conf 92% · 1.5s · $0.020 · 364 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "cedar" and the last word must be "drift".
3. Use the word "comet" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cedar smoke trailed us west; comet after comet after comet lit the long road home, where tired travelers drift
correctif.format.repeat-v1conf 99% · 2.5s · $0.009 · 164 tok
question
Write the word "drift" in uppercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT
correctif.format.acronym-v1conf 99% · 2.2s · $0.004 · 60 tok
question
Take the first letter of each of these words, in order: flint, delta, falcon, drift, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FDFDC
correctif.format.repeat-v1conf 77% · 13.7s · $0.010 · 170 tok
question
Write the word "flint" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Flint/Flint/Flint
correctif.constraints.stack-v1conf 92% · 3.1s · $0.025 · 451 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "cedar" and the last word must be "zephyr".
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: cedar boats drift where nova tides shimmer, nova foam sings, nova light bathes the wide salt water, gently calling zephyr
correctif.format.repeat-v1conf 88% · 1.2s · $0.011 · 191 tok
question
Write the word "zephyr" in capitalized form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Zephyr_Zephyr_Zephyr
correctif.format.acronym-v1conf 99% · 1.6s · $0.005 · 71 tok
question
Take the first letter of each of these words, in order: delta, ember, basalt, lumen, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DEBLF
correctif.constraints.stack-v1conf 92% · 4.1s · $0.016 · 267 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "ember" and the last word must be "cedar".
3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember drifted north, tracing orbit after orbit, wandering far beyond the pale hills toward silent cedar
correctif.format.acronym-v1conf 99% · 1.1s · $0.008 · 133 tok
question
Take the second letter of each of these words, in order: tundra, quartz, comet, lumen, nova, 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: UUOUOR
correctif.constraints.stack-v1conf 92% · 1.6s · $0.018 · 311 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "delta" and the last word must be "quartz".
3. Use the word "cedar" 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: delta winds hush the cedar streets, where cedar shadows lean on neon towers, and midnight hums beneath skies of cold quartz
correctif.format.repeat-v1conf 82% · 1.1s · $0.013 · 236 tok
question
Write the word "quartz" in capitalized form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quartz_Quartz_Quartz_Quartz_Quartz_Quartz_Quartz_Quartz
correctif.format.acronym-v1conf 100% · 1.5s · $0.008 · 134 tok
question
Take the first letter of each of these words, in order: ember, flint, basalt, cedar, zephyr, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EFBCZT
correctif.format.acronym-v1anchorconf 99% · 24.7s · $0.006 · 98 tok
model answer: ZDFQ
correctif.format.repeat-v1anchorconf 92% · 1.4s · $0.015 · 278 tok
model answer: Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echo
correctif.constraints.stack-v1anchorconf 92% · 1.9s · $0.042 · 790 tok
model answer: drift past neon towers where every lumen hums, each lumen a small star, one lumen fading into the wet dark streets that slowly orbit
correctif.format.repeat-v1anchorconf 99% · 14.5s · $0.010 · 177 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
knowledge 29/30 correct
correctknowledge.fr.factbank-v2conf 100% · 3.1s · $0.006 · 105 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 99% · 4.7s · $0.004 · 53 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% · 1.3s · $0.003 · 46 tok
question
Identify the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 99% · 1.8s · $0.003 · 46 tok
question
Name the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 2.1s · $0.003 · 45 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% · 944ms · $0.003 · 45 tok
question
Identify the Brazilian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
OpenRouterError: OpenRouter /chat/completions failed after 6 attempt(s) (status 429)knowledge.fr.factbank-v2conf · · · tok
question
What is the author of "Snow Country"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctknowledge.fr.factbank-v2conf 98% · 939ms · $0.004 · 64 tok
question
Identify the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 99% · 1.6s · $0.004 · 57 tok
question
What is the author of "One Hundred Years of Solitude"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 97% · 774ms · $0.004 · 68 tok
question
What is the capital of Kazakhstan?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 707ms · $0.003 · 37 tok
question
Identify the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 99% · 20.5s · $0.003 · 45 tok
question
What is the Brazilian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 99% · 5.4s · $0.003 · 45 tok
question
Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 99% · 1.2s · $0.003 · 45 tok
question
What is the Brazilian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 99% · 906ms · $0.004 · 66 tok
question
What is the author of "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 99% · 758ms · $0.004 · 48 tok
question
What is the author of "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 98% · 972ms · $0.004 · 66 tok
question
Name the capital of Myanmar.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.003 · 37 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% · 1.5s · $0.004 · 66 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 98% · 828ms · $0.003 · 44 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% · 771ms · $0.003 · 37 tok
question
Name the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 99% · 1.7s · $0.003 · 44 tok
question
Name the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 99% · 789ms · $0.003 · 45 tok
question
Identify the capital of Brazil.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 746ms · $0.003 · 46 tok
question
Name the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 96% · 1.7s · $0.003 · 44 tok
question
Identify the capital of Switzerland.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 99% · 1.2s · $0.003 · 41 tok
question
Name the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2anchorconf 100% · 5.1s · $0.002 · 27 tok
model answer: Lead
correctknowledge.fr.factbank-v2anchorconf 99% · 882ms · $0.003 · 47 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 783ms · $0.003 · 40 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 976ms · $0.003 · 40 tok
model answer: Antimony
math 28/30 correct
correctmath.chained.pipeline-v1conf 99% · 1.5s · $0.014 · 245 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 17 × 74.
Step 2: Q = P × 7 − 404.
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: 1402
correctmath.counterfactual.base-v1conf 99% · 897ms · $0.045 · 878 tok
question
Work strictly in base 7. Multiply the base-7 numbers 64 and 55. 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: 5236
correctmath.percent.chain-v2conf 99% · 1.1s · $0.012 · 201 tok
question
An inventory starts at 24000 units. The warehouse was painted 164 years ago. In the first month the inventory grows by 28%. A rival firm shipped 149 unrelated parcels the same week. The next month it shrinks by 24%, and the month after it grows by 40%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 32686.08
correctmath.algebra.system-v2conf 99% · 1.1s · $0.022 · 411 tok
question
Solve the system, then answer the derived question.

9x + 3y = 420
3x − 8y = -94

What is the value of 4x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 74
correctmath.arith.chain-v2conf 99% · 1.1s · $0.010 · 180 tok
question
Compute the value of the following expression.

(((47 × 71 − 556) × 3 + 6038) − 57 × 50) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 69186
correctmath.counterfactual.base-v1conf 99% · 1.5s · $0.024 · 451 tok
question
Work strictly in base 7. Add the base-7 numbers 5060 and 3601. 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: 11661
wrongmath.chained.pipeline-v1conf · 1.2s · $0.002 · 2 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 50 × 89.
Step 2: Q = P × 6 − 603.
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% · 1.4s · $0.014 · 241 tok
question
An inventory starts at 3000 units. The company was founded 99 kilometers from the port. In the first month the inventory grows by 29%. Each pallet weighs about 117 grams more when wet. The next month it shrinks by 32%, and the month after it grows by 25%. 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: 3289.5
correctmath.algebra.system-v2conf 99% · 1.2s · $0.020 · 384 tok
question
Solve the system, then answer the derived question.

6x + 2y = -74
4x − 4y = 36

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: -10
correctmath.arith.chain-v2conf 99% · 934ms · $0.013 · 231 tok
question
Compute the value of the following expression.

(((85 × 90 − 313) × 6 + 4339) − 58 × 52) × 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: 317415
correctmath.counterfactual.base-v1conf 99% · 756ms · $0.041 · 801 tok
question
Work strictly in base 8. Multiply the base-8 numbers 116 and 126. 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: 15064
correctmath.chained.pipeline-v1conf 99% · 1.0s · $0.014 · 237 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 55 × 84.
Step 2: Q = P × 9 − 501.
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: 6849
correctmath.percent.chain-v2conf 99% · 1.1s · $0.013 · 216 tok
question
An inventory starts at 90000 units. The warehouse was painted 171 years ago. In the first month the inventory grows by 9%. A rival firm shipped 91 unrelated parcels the same week. The next month it shrinks by 23%, and the month after it grows by 8%. 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: 81579.96
correctmath.algebra.system-v2conf 99% · 910ms · $0.021 · 401 tok
question
Solve the system, then answer the derived question.

9x + 7y = 271
3x − 9y = -159

What is the value of 4x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -36
correctmath.arith.chain-v2conf 99% · 1.4s · $0.010 · 184 tok
question
Evaluate the expression below and give the result.

(((27 × 39 − 446) × 9 + 2760) − 63 × 88) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 5358
correctmath.counterfactual.base-v1conf 99% · 1.3s · $0.026 · 487 tok
question
Work strictly in base 7. Multiply the base-7 numbers 60 and 106. 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: 6510
wrongmath.chained.pipeline-v1conf · 984ms · $0.002 · 2 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 84 × 74.
Step 2: Q = P × 5 − 296.
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.percent.chain-v2conf 99% · 2.3s · $0.014 · 251 tok
question
An inventory starts at 38000 units. The company was founded 5 kilometers from the port. In the first month the inventory grows by 15%. The delivery van has a 83-liter fuel tank. The next month it shrinks by 45%, and the month after it grows by 40%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 33649
correctmath.algebra.system-v2conf 99% · 1.0s · $0.019 · 347 tok
question
Solve the system, then answer the derived question.

5x + 6y = 337
4x − 9y = -103

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: 75
correctmath.arith.chain-v2conf 99% · 905ms · $0.014 · 244 tok
question
Calculate the following. Show your reasoning, then answer.

(((79 × 31 − 778) × 9 + 9548) − 42 × 84) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 63177
correctmath.chained.pipeline-v1conf 99% · 1.2s · $0.014 · 247 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 23 × 55.
Step 2: Q = P × 9 − 456.
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: 1824
correctmath.counterfactual.base-v1conf 99% · 977ms · $0.038 · 736 tok
question
Work strictly in base 11. Multiply the base-11 numbers 78 and 79. 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: 5546
correctmath.percent.chain-v2conf 95% · 1.5s · $0.017 · 293 tok
question
An inventory starts at 24000 units. A rival firm shipped 172 unrelated parcels the same week. In the first month the inventory grows by 28%. The company was founded 119 kilometers from the port. The next month it shrinks by 34%, and the month after it grows by 33%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 26966.02
correctmath.algebra.system-v2conf 99% · 752ms · $0.020 · 380 tok
question
Solve the system, then answer the derived question.

9x + 7y = 121
7x − 5y = 209

What is the value of 4x − 4y?

End your reply with exactly two plain-text lines (no markdown, no 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
correctmath.arith.chain-v2conf 99% · 1.6s · $0.013 · 237 tok
question
Calculate the following. Show your reasoning, then answer.

(((84 × 53 − 768) × 6 + 2146) − 64 × 95) × 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: 72680
correctmath.chained.pipeline-v1conf 99% · 845ms · $0.013 · 224 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 68 × 36.
Step 2: Q = P × 4 − 705.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1819
correctmath.counterfactual.base-v1anchorconf 99% · 1.3s · $0.026 · 486 tok
model answer: 11236
correctmath.percent.chain-v2anchorconf 85% · 1.1s · $0.017 · 302 tok
model answer: 61896.52
correctmath.arith.chain-v2anchorconf 99% · 1.2s · $0.013 · 229 tok
model answer: 108153
correctmath.algebra.system-v2anchorconf 99% · 957ms · $0.014 · 253 tok
model answer: 87
multilingual 30/30 correct
correctmultilingual.numword-v2conf 98% · 1.9s · $0.008 · 135 tok
question
Compute 165 + 365, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent trente
correctmultilingual.wordnum-v1conf 99% · 902ms · $0.008 · 125 tok
question
A number is written in French: « deux cent quarante-trois ». Another is written in Spanish: « novecientos 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: 1145
correctmultilingual.numword-v2conf 99% · 1.8s · $0.005 · 76 tok
question
Compute 168 + 179, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos cuarenta y siete
correctmultilingual.wordnum-v1conf 99% · 913ms · $0.008 · 131 tok
question
A number is written in French: « sept cent soixante ». Another is written in Spanish: « novecientos noventa y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -238
correctmultilingual.wordnum-v1conf 99% · 3.5s · $0.009 · 150 tok
question
A number is written in French: « sept cent quatre-vingt-dix-neuf ». Another is written in Spanish: « cuatrocientos 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: 360
correctmultilingual.wordnum-v1conf 99% · 1.0s · $0.008 · 134 tok
question
A number is written in French: « huit cent quatre-vingt-dix ». Another is written in Spanish: « quinientos cincuenta ». 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: 340
correctmultilingual.numword-v2conf 96% · 1.0s · $0.007 · 121 tok
question
Compute 335 + 398, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: sept cent trente-trois
correctmultilingual.numword-v2conf 99% · 1.0s · $0.005 · 70 tok
question
Compute 463 + 327, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: setecientos noventa
correctmultilingual.wordnum-v1conf 99% · 1.4s · $0.006 · 94 tok
question
A number is written in French: « trois cent cinquante-trois ». Another is written in Spanish: « doscientos cinco ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 148
correctmultilingual.numword-v2conf 95% · 1.1s · $0.011 · 188 tok
question
Compute 342 + 135, 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-sept
correctmultilingual.numword-v2conf 99% · 2.6s · $0.008 · 142 tok
question
Compute 472 + 381, 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: huit cent cinquante-trois
correctmultilingual.numword-v2conf 96% · 1.2s · $0.008 · 141 tok
question
Compute 322 + 263, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent quatre-vingt-cinq
correctmultilingual.wordnum-v1conf 99% · 1.1s · $0.008 · 123 tok
question
A number is written in French: « neuf cent un ». Another is written in Spanish: « quinientos sesenta y dos ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1463
correctmultilingual.wordnum-v1conf 99% · 1.1s · $0.008 · 134 tok
question
A number is written in French: « six cent quatre-vingt-neuf ». Another is written in Spanish: « trescientos veinte ». 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: 1009
correctmultilingual.wordnum-v1conf 99% · 2.8s · $0.009 · 144 tok
question
A number is written in French: « quatre cent quatre-vingt-neuf ». Another is written in Spanish: « ochenta 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: 400
correctmultilingual.numword-v2conf 96% · 1.3s · $0.005 · 77 tok
question
Compute 158 + 443, 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 uno
correctmultilingual.numword-v2conf 99% · 6.1s · $0.005 · 85 tok
question
Compute 204 + 252, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos cincuenta y seis
correctmultilingual.wordnum-v1conf 99% · 2.6s · $0.008 · 123 tok
question
A number is written in French: « deux cent soixante-dix ». Another is written in Spanish: « setecientos 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: 978
correctmultilingual.wordnum-v1conf 99% · 3.5s · $0.009 · 149 tok
question
A number is written in French: « huit cent vingt-huit ». Another is written in Spanish: « setecientos sesenta y seis ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 62
correctmultilingual.numword-v2conf 98% · 1.4s · $0.008 · 129 tok
question
Compute 498 + 262, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: sept cent soixante
correctmultilingual.wordnum-v1conf 99% · 1.0s · $0.008 · 128 tok
question
A number is written in French: « six cent deux ». Another is written in Spanish: « trescientos cincuenta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 248
correctmultilingual.numword-v2conf 99% · 24.3s · $0.005 · 70 tok
question
Compute 182 + 231, 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 trece
correctmultilingual.wordnum-v1conf 99% · 22.0s · $0.007 · 116 tok
question
A number is written in French: « deux cent quatre-vingt-six ». Another is written in Spanish: « quinientos veintitrés ». 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: -237
correctmultilingual.numword-v2conf 98% · 1.8s · $0.009 · 159 tok
question
Compute 224 + 100, 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 vingt-quatre
correctmultilingual.wordnum-v1conf 99% · 1.0s · $0.010 · 162 tok
question
A number is written in French: « cinq cent quatre-vingt-dix-huit ». Another is written in Spanish: « doscientos treinta y siete ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 835
correctmultilingual.numword-v2conf 99% · 971ms · $0.005 · 79 tok
question
Compute 231 + 196, 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 veintisiete
correctmultilingual.numword-v2anchorconf 92% · 834ms · $0.012 · 213 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 99% · 915ms · $0.008 · 137 tok
model answer: 150
correctmultilingual.wordnum-v1anchorconf 99% · 2.0s · $0.008 · 132 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 99% · 1.0s · $0.005 · 70 tok
model answer: seiscientos ocho
reasoning 30/30 correct
correctreasoning.deduction.order-v2conf 99% · 921ms · $0.017 · 291 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Chen. Priya is faster than Mona. Farah is older than everyone here, but Farah is not being ranked. Bruno is faster than Tessa. Hana is faster than Tessa. Priya is faster than Hana. Chen is faster than Bruno. Jonas is faster than Hana. Mona is faster than Jonas. Hana is faster than Bruno. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.position-v1conf 99% · 748ms · $0.008 · 137 tok
question
Four people stand in a queue (number 1 is the front). Alice is number 1 in the queue. Ines is directly ahead of Bruno. Bruno is directly ahead of Dara. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.position-v1conf 99% · 894ms · $0.008 · 129 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 1 in the queue. Mona is directly ahead of Jonas. Jonas is directly ahead of Priya. 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: Priya
correctreasoning.deduction.position-v1conf 96% · 1.6s · $0.012 · 203 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Tessa. Priya is number 3 in the queue. Tessa is directly ahead of Priya. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.order-v2conf 99% · 781ms · $0.016 · 262 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Mona is taller than Liam. Ines is taller than Alice. Ola is faster than everyone here, but Ola is not being ranked. Liam is taller than Alice. Ines is taller than Quinn. Ines is taller than Bruno. Goran is taller than Ines. Quinn is taller than Liam. Alice is taller than Bruno. Mona is taller than Goran. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.order-v2conf 99% · 1.7s · $0.013 · 207 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Quinn is taller than Dara. Jonas is taller than Mona. Tessa is taller than Quinn. Chen is taller than Tessa. Priya is faster than everyone here, but Priya is not being ranked. Ines is taller than Chen. Dara is taller than Jonas. Ines is taller than Mona. Quinn is taller than Mona. Quinn is taller than Jonas. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.position-v1conf 99% · 790ms · $0.008 · 125 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 3 in the queue. Sami is directly ahead of Ines. Dara is directly ahead of Sami. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.order-v2conf 99% · 1.2s · $0.018 · 310 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Nadir is older than Ola. Mona is older than Sami. Bruno is older than Ola. Emil is heavier than everyone here, but Emil is not being ranked. Ines is older than Bruno. Mona is older than Tessa. Sami is older than Ola. Tessa is older than Nadir. Nadir is older than Ines. Sami is older than Tessa. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.order-v2conf 99% · 682ms · $0.015 · 242 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Quinn. Sami is taller than everyone here, but Sami is not being ranked. Priya is faster than Hana. Bruno is faster than Goran. Tessa is faster than Hana. Bruno is faster than Tessa. Goran is faster than Jonas. Quinn is faster than Bruno. Hana is faster than Goran. Bruno is faster than Hana. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Goran
correctreasoning.deduction.position-v1conf 99% · 649ms · $0.007 · 112 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Priya. Chen is directly ahead of Kira. Priya 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: Kira
correctreasoning.deduction.position-v1conf 99% · 1.0s · $0.008 · 127 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Bruno. Goran is number 3 in the queue. Bruno is directly ahead of Goran. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 99% · 781ms · $0.010 · 152 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Liam. Sami is heavier than Priya. Liam is heavier than Priya. Liam is heavier than Sami. Sami is heavier than Emil. Dara is heavier than Sami. Priya is heavier than Emil. Mona is older than everyone here, but Mona is not being ranked. Rosa is heavier than Goran. Goran is heavier than Dara. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.position-v1conf 99% · 3.9s · $0.006 · 78 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Quinn. Liam is directly ahead of Ines. Quinn is directly ahead of Liam. Ines is number 4 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 99% · 2.1s · $0.012 · 192 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is older than everyone here, but Ola is not being ranked. Bruno is faster than Tessa. Ines is faster than Chen. Dara is faster than Bruno. Liam is faster than Tessa. Chen is faster than Dara. Alice is faster than Ines. Dara is faster than Liam. Chen is faster than Liam. Liam is faster than Bruno. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
correctreasoning.deduction.position-v1conf 97% · 660ms · $0.008 · 132 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Quinn. Quinn is number 3 in the queue. Kira is directly ahead of Farah. 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: Quinn
correctreasoning.deduction.order-v2conf 99% · 1.4s · $0.014 · 223 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ola is taller than Hana. Nadir is taller than Bruno. Alice is taller than Bruno. Dara is taller than Quinn. Dara is taller than Nadir. Sami is older than everyone here, but Sami is not being ranked. Dara is taller than Quinn. Alice is taller than Dara. Bruno is taller than Quinn. Hana is taller than Alice. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.order-v2conf 99% · 2.2s · $0.015 · 245 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Alice. Priya is taller than everyone here, but Priya is not being ranked. Rosa is faster than Chen. Bruno is faster than Farah. Alice is faster than Farah. Liam is faster than Bruno. Chen is faster than Ola. Chen is faster than Bruno. Alice is faster than Bruno. Ola is faster than Liam. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.position-v1conf 99% · 1.1s · $0.008 · 131 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Emil. Mona is directly ahead of Priya. Emil is number 2 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.position-v1conf 99% · 3.6s · $0.008 · 136 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Quinn. Nadir is number 1 in the queue. Quinn is directly ahead of Mona. 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: Quinn
correctreasoning.deduction.position-v1conf 99% · 770ms · $0.007 · 111 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Quinn. Quinn is directly ahead of Rosa. Chen 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: Chen
correctreasoning.deduction.order-v2conf 99% · 680ms · $0.012 · 189 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Goran. Dara is older than Goran. Ola is older than Goran. Sami is faster than everyone here, but Sami is not being ranked. Ola is older than Farah. Emil is older than Dara. Hana is older than Goran. Dara is older than Hana. Chen is older than Emil. Farah is older than Chen. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.order-v2conf 99% · 676ms · $0.012 · 191 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Nadir. Chen is faster than Ola. Alice is faster than Chen. Tessa is faster than Priya. Ola is faster than Priya. Sami is taller than everyone here, but Sami is not being ranked. Nadir is faster than Alice. Chen is faster than Priya. Rosa is faster than Tessa. Alice is faster than Ola. 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: Nadir
correctreasoning.deduction.position-v1conf 99% · 2.2s · $0.007 · 116 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Emil. Tessa is directly ahead of Chen. Chen 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: Emil
correctreasoning.deduction.order-v2conf 99% · 1.7s · $0.012 · 195 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Goran. Quinn is faster than Goran. Quinn is faster than Sami. Liam is older than everyone here, but Liam is not being ranked. Alice is faster than Bruno. Dara is faster than Alice. Bruno is faster than Quinn. Quinn is faster than Goran. Goran is faster than Sami. Quinn is faster than Hana. 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: Quinn
correctreasoning.deduction.position-v1conf 99% · 1.7s · $0.008 · 129 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Ola. Farah is directly ahead of Liam. Ola 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.order-v2conf 99% · 1.3s · $0.015 · 246 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Mona is older than Farah. Mona is older than Nadir. Nadir is older than Priya. Farah is older than Bruno. Bruno is older than Chen. Jonas is taller than everyone here, but Jonas is not being ranked. Priya is older than Sami. Chen is older than Sami. Chen is older than Nadir. Chen is older than Sami. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.position-v1anchorconf 99% · 777ms · $0.008 · 128 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 99% · 910ms · $0.009 · 124 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 99% · 1.5s · $0.012 · 198 tok
model answer: Mona
correctreasoning.deduction.position-v1anchorconf 99% · 2.0s · $0.010 · 159 tok
model answer: Farah
terminal 4/30 correct
wrongterminal.exit.chain-v1conf · 4.5s · $0.004 · 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, basil (one per line). No other files exist.

These statements run in order:

```sh
false && echo A || echo B
test -f data.txt && echo C || echo D
grep -q dune notes.txt && 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.fs.tree-v1conf · 26.0s · $0.005 · 8 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/docs`):

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

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

```sh
mkdir -p assets/build-4
cp logs/index.txt assets/build-4/
rm logs/todo.log
mkdir -p docs/build-6
mv logs/report.log logs/draft-1.cfg
cd docs/build-6
cp ../../../proj/notes.md ../../../proj/assets/build-4/
cd ../../../proj
mv logs/index.txt logs/setup-7.md
cd docs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 28.1s · $0.004 · 2 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,ops,94,64
kim,ops,7,14
gus,ops,106,36
ana,legal,50,97
lou,sales,77,25
ned,ops,17,61
max,hr,36,52
fay,sales,13,22
cy,legal,91,39
eli,eng,60,31
jon,ops,78,59
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 2.4s · $0.005 · 6 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/conf`):

```
/proj/assets/report.md
/proj/assets/todo.cfg
/proj/build/util.txt
/proj/draft.txt
/proj/main.cfg
```

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

```sh
mkdir -p assets/assets-1
mkdir -p conf/logs-9
mv build/util.txt assets/assets-1/
cd build
touch ../../proj/setup-7.cfg
mv ../../proj/assets/assets-1/util.txt ../../proj/
cd ../../proj/assets/assets-1
rm ../../../proj/draft.txt
rm ../../../proj/main.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)
wrongterminal.pipeline.predict-v1conf · 1.0s · $0.004 · 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,102,31
fay,ops,35,11
hal,ops,78,36
dev,eng,21,62
max,eng,21,62
eli,eng,88,75
ana,sales,92,57
kim,hr,100,53
jon,sales,78,38
ivy,sales,78,90
oli,hr,79,55
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf · 1.3s · $0.004 · 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
false && echo C || echo D
test -f data.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 96% · 974ms · $0.030 · 515 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/logs`, `/proj/assets`):

```
/proj/assets/draft.md
/proj/assets/setup.log
/proj/logs/main.cfg
/proj/report.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 todo.cfg ./
cp assets/draft.md conf/
cd assets
touch ../../proj/logs/main-7.txt
mkdir -p ../../proj/conf/conf-1
mkdir -p ../../proj/conf/conf-1/conf-1
touch index-8.md
cd ../../proj/conf/conf-1
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft.md /proj/assets/index-8.md /proj/assets/setup.log /proj/conf/draft.md /proj/logs/main-7.txt /proj/logs/main.cfg /proj/report.log /proj/todo.cfg
wrongterminal.exit.chain-v1conf · 962ms · $0.003 · 2 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f app.txt && echo A || echo B
test -f app.txt && echo C || echo D
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)
correctterminal.fs.tree-v1conf 96% · 941ms · $0.034 · 598 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/docs`):

```
/proj/conf/setup.md
/proj/draft.cfg
/proj/main.cfg
/proj/src/notes.txt
/proj/src/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
cp draft.cfg docs/
touch report-2.md
mv src/notes.txt src/notes-1.log
touch docs/util-1.txt
cd .
mkdir -p src/docs-1
cp docs/draft.cfg ./
cd src/docs-1
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/setup.md /proj/docs/draft.cfg /proj/docs/util-1.txt /proj/draft.cfg /proj/main.cfg /proj/report-2.md /proj/src/notes-1.log /proj/src/report.log
wrongterminal.pipeline.predict-v1conf · 949ms · $0.004 · 3 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,hr,11,48
hal,hr,95,63
fay,hr,59,27
pam,sales,55,19
dev,ops,51,62
ivy,ops,14,13
jon,eng,37,96
eli,hr,25,51
ana,sales,100,51
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf · 1.4s · $0.003 · 2 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q coral notes.txt && echo A || echo B
false && 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.exit.chain-v1conf · 6.3s · $0.004 · 8 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
true && echo A || echo B
grep -q basil notes.txt && echo C || echo D
test -f data.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 1.8s · $0.004 · 7 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,legal,59,14
ivy,legal,41,99
eli,hr,56,17
gus,sales,95,77
max,ops,106,45
dev,hr,8,32
ned,ops,4,73
bo,ops,106,67
oli,ops,49,32
lou,hr,60,50
fay,hr,79,46
jon,legal,86,72
kim,hr,60,91
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 96% · 1.1s · $0.044 · 777 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/build`):

```
/proj/build/notes.cfg
/proj/build/util.log
/proj/draft.cfg
/proj/logs/setup.log
/proj/report.cfg
```

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

```sh
rm logs/setup.log
rm draft.cfg
cd assets
touch ../../proj/setup-1.log
cp ../../proj/report.cfg ../../proj/build/
cd ../../proj/logs
mv ../../proj/build/util.log ../../proj/build/report-4.log
cp ../../proj/build/report.cfg ../../proj/assets/
touch ../../proj/assets/notes-2.md
cd .
mv ../../proj/build/report.cfg ../../proj/
cd ../../proj
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/notes-2.md /proj/assets/report.cfg /proj/build/notes.cfg /proj/build/report-4.log /proj/report.cfg /proj/setup-1.log
wrongterminal.pipeline.predict-v1conf · 915ms · $0.004 · 7 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,eng,9,58
ned,ops,84,98
hal,legal,42,25
jon,ops,81,41
kim,sales,52,72
cy,sales,32,82
dev,legal,5,64
lou,eng,36,47
max,hr,98,43
eli,hr,98,78
gus,legal,83,22
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf · 961ms · $0.003 · 3 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 1.3s · $0.004 · 6 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/conf`, `/proj/assets`):

```
/proj/conf/report.cfg
/proj/index.md
/proj/logs/main.cfg
/proj/logs/util.log
/proj/setup.log
```

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

```sh
rm logs/util.log
cd conf
mkdir -p ../../proj/assets/conf-6
touch util-4.log
cd ../../proj/logs
rm ../../proj/index.md
mkdir -p ../../proj/conf-7
rm main.cfg
touch ../../proj/conf/main-8.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf · 893ms · $0.004 · 3 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,legal,112,14
eli,sales,63,86
cy,ops,48,50
ivy,sales,37,55
gus,eng,20,76
jon,eng,43,33
ned,sales,96,30
oli,legal,52,77
fay,eng,57,25
ana,hr,106,13
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf · 1.1s · $0.004 · 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, basil (one per line). No other files exist.

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 1.1s · $0.004 · 4 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/build`):

```
/proj/assets/notes.cfg
/proj/build/setup.txt
/proj/conf/todo.log
/proj/draft.md
/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
touch notes-2.cfg
cp build/setup.txt ./
mv draft.md util-2.cfg
cd .
mkdir -p assets/assets-1
mkdir -p build/src-8
rm conf/todo.log
rm assets/notes.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)
wrongterminal.pipeline.predict-v1conf · 917ms · $0.004 · 2 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,ops,105,97
kim,eng,22,55
gus,sales,71,95
ana,hr,92,20
ned,hr,12,30
lou,hr,47,80
eli,eng,107,55
fay,legal,9,93
dev,ops,72,25
oli,sales,26,66
```

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)
correctterminal.fs.tree-v1conf 98% · 1.2s · $0.039 · 695 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/logs`):

```
/proj/build/draft.md
/proj/docs/todo.md
/proj/logs/main.log
/proj/notes.txt
/proj/setup.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 docs/docs-5
mv docs/todo.md docs/report-7.md
touch docs/docs-5/util-4.md
mv notes.txt build/
cd docs/docs-5
cp ../../../proj/logs/main.log ../../../proj/docs/
mv ../../../proj/docs/report-7.md ./
touch ../../../proj/docs/setup-9.md
cd ../../../proj/logs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft.md /proj/build/notes.txt /proj/docs/docs-5/report-7.md /proj/docs/docs-5/util-4.md /proj/docs/main.log /proj/docs/setup-9.md /proj/logs/main.log /proj/setup.txt
wrongterminal.exit.chain-v1conf · 1.1s · $0.004 · 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: coral, amber (one per line). No other files exist.

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf · 899ms · $0.005 · 8 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/src`, `/proj/build`):

```
/proj/assets/notes.cfg
/proj/index.log
/proj/main.cfg
/proj/src/setup.md
/proj/src/util.md
```

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

```sh
touch build/index-2.cfg
cd build
cp ../../proj/index.log ../../proj/src/
rm ../../proj/index.log
cd .
rm ../../proj/src/setup.md
cd ../../proj/src
touch ../../proj/build/setup-6.log
mkdir -p ../../proj/build-9
mv ../../proj/build/index-2.cfg ../../proj/build/main-2.cfg
mkdir -p ../../proj/build-9/build-8
```

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 · 823ms · $0.004 · 3 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,eng,80,31
fay,eng,46,79
dev,sales,42,89
ana,hr,11,73
jon,eng,58,89
oli,legal,108,82
ivy,sales,86,17
cy,ops,67,62
gus,hr,68,34
lou,ops,26,90
```

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.exit.chain-v1conf · 845ms · $0.003 · 3 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
false && echo A || echo B
false && 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-v1anchorconf · 1.0s · $0.003 · 2 tok
model answer: (none extracted)
wrongterminal.exit.chain-v1anchorconf · 739ms · $0.004 · 3 tok
model answer: (none extracted)
wrongterminal.fs.tree-v1anchorconf · 1.0s · $0.004 · 3 tok
model answer: (none extracted)
wrongterminal.pipeline.predict-v1anchorconf · 790ms · $0.004 · 2 tok
model answer: (none extracted)
vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 99% · 1.1s · $0.011 · 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: 150
correctvision.ocr.code-hunt-v1conf 98% · 1.9s · $0.011 · 28 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: PEE7VN4A
correctvision.ocr.table-read-v1conf 99% · 2.4s · $0.012 · 42 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: 86
correctvision.ocr.code-hunt-v1conf 62% · 3.0s · $0.019 · 205 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: VVWJM7C
correctvision.ocr.table-read-v1conf 99% · 1.9s · $0.011 · 33 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: 82
correctvision.ocr.code-hunt-v1conf 96% · 2.3s · $0.010 · 27 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: RUEECXUX
correctvision.ocr.table-read-v1conf 99% · 1.7s · $0.012 · 42 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: 97
correctvision.ocr.code-hunt-v1conf 97% · 1.5s · $0.011 · 42 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: H9FHX47H
correctvision.ocr.table-read-v1conf 99% · 1.6s · $0.012 · 45 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: 93
correctvision.ocr.code-hunt-v1conf 96% · 3.0s · $0.011 · 37 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: FD93JV
correctvision.ocr.table-read-v1conf 99% · 1.8s · $0.011 · 35 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: 298
correctvision.ocr.code-hunt-v1conf 95% · 2.5s · $0.011 · 41 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: 7ECCVP
correctvision.ocr.code-hunt-v1conf 95% · 8.3s · $0.011 · 41 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: WC9VUU34
correctvision.ocr.table-read-v1conf 99% · 1.7s · $0.011 · 39 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: 59
correctvision.ocr.code-hunt-v1conf 97% · 1.9s · $0.010 · 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: RNM44MJK
correctvision.ocr.table-read-v1conf 99% · 1.6s · $0.011 · 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: 82
correctvision.ocr.table-read-v1conf 99% · 1.4s · $0.011 · 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: 148
correctvision.ocr.code-hunt-v1conf 96% · 1.9s · $0.011 · 42 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: X3PYMPY
correctvision.ocr.table-read-v1conf 99% · 7.2s · $0.011 · 32 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: 40
correctvision.ocr.table-read-v1conf 99% · 1.4s · $0.011 · 33 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: 73
correctvision.ocr.code-hunt-v1conf 95% · 2.5s · $0.011 · 28 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: 4NVX7W4
correctvision.ocr.code-hunt-v1conf 98% · 2.4s · $0.010 · 27 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: CAC9RTK
correctvision.ocr.table-read-v1conf 99% · 1.5s · $0.011 · 35 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: 20
correctvision.ocr.code-hunt-v1conf 96% · 2.5s · $0.011 · 43 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: AVEY7D7K
correctvision.ocr.table-read-v1conf 99% · 4.7s · $0.011 · 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: 211
correctvision.ocr.code-hunt-v1conf 97% · 3.6s · $0.011 · 43 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: YWK4ATJ
correctvision.ocr.table-read-v1anchorconf 98% · 1.6s · $0.011 · 32 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 96% · 2.5s · $0.012 · 60 tok
model answer: VX7993D
correctvision.ocr.code-hunt-v1anchorconf 84% · 15.7s · $0.015 · 117 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 99% · 14.8s · $0.011 · 32 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit716
  • 2026-08-05v0.2.0index_fit717
  • 2026-08-05v0.2.0index_fit719
  • 2026-08-05v0.2.0index_fit718
  • 2026-08-05v0.2.0index_fit718
  • 2026-08-05v0.2.0index_fit718
  • 2026-08-05v0.2.0index_fit717
  • 2026-08-05v0.2.0index_fit717
  • 2026-08-05v0.2.0index_fit716
  • 2026-08-05v0.2.0index_fit716
  • 2026-08-05v0.2.0index_fit704
  • 2026-08-05v0.2.0index_fit704
  • 2026-08-05v0.2.0index_fit704
  • 2026-08-05v0.2.0index_fit703
  • 2026-08-05v0.2.0index_fit703
  • 2026-08-05v0.2.0index_fit705
  • 2026-08-05v0.2.0index_fit705
  • 2026-08-05v0.2.0index_fit700
  • 2026-08-05v0.2.0index_fit702
  • 2026-08-05v0.2.0index_fit704