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MoonshotAI: Kimi K2.7 Code
moonshotai/kimi-k2.7-code · moonshotai · context 262 144 · in $0.730/1M · out $3.50/1M
Global Index
752
95% CI [708–797] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 799 [697–901] | 0.776 | 0.98 | 0.93 | 0.077 | 476ms | $3.95 | |
| code | 873 [752–994] | 0.792 | 0.98 | 1.00 | 0.000 | 700ms | $2.28 | |
| instruction following | 775 [639–910] | 0.728 | 0.80 | 0.97 | 0.038 | 364ms | $1.28 | |
| knowledge | 718 [546–889] | 0.542 | 0.95 | 1.00 | 0.000 | 202ms | $0.438 | |
| math | 770 [614–927] | 0.683 | 0.95 | 0.97 | 0.038 | 593ms | $1.62 | |
| multilingual | 819 [654–983] | 0.698 | 1.00 | 1.00 | 0.000 | 396ms | $0.786 | |
| reasoning | 729 [583–875] | 0.659 | 0.98 | 0.93 | 0.077 | 673ms | $1.41 | |
| terminal | 910 [822–997] | 0.849 | 1.00 | 1.00 | 0.000 | 770ms | $2.50 | |
| vision ocr | 379 [291–468] | 0.268 | 0.81 | 0.97 | 0.308 | 752ms | $2.98 |
Every answer, every test
Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.
agentic 28/30 correct
correctagentic.tools.context-load-v1conf 100% · 3.7s · $0.006 · 926 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 (253 records, format: id|customer|region|item|qty|status):
```
2096|harbor|east|cable|81|paid
1077|acme|south|valve|10|pending
1581|dorian|south|cable|33|held
1355|ember|south|gasket|68|held
2077|gale|east|panel|11|held
1687|harbor|west|sensor|62|paid
1803|gale|north|rotor|29|held
1422|cobalt|west|frame|11|paid
1151|ember|north|panel|56|held
1299|ember|west|sensor|99|shipped
1930|birch|east|panel|68|paid
1180|harbor|west|pump|87|held
1254|ember|south|gasket|56|shipped
1878|harbor|west|valve|45|shipped
2047|birch|north|panel|52|held
1604|gale|west|valve|40|held
1624|cobalt|north|cable|95|held
1291|birch|north|gasket|12|held
1939|ember|east|cable|42|pending
2025|harbor|north|gasket|98|held
1645|juno|south|rotor|96|shipped
1357|acme|west|sensor|37|held
2062|ionic|west|panel|67|pending
1179|harbor|west|rotor|55|shipped
1412|ionic|south|panel|35|shipped
1198|ember|south|cable|55|shipped
1960|harbor|south|pump|54|paid
1832|gale|south|valve|33|pending
1498|ember|east|sensor|44|held
1157|acme|west|gasket|21|paid
1872|fulton|north|cable|62|shipped
1742|fulton|west|pump|80|paid
1142|fulton|south|valve|98|paid
1789|fulton|west|gasket|16|held
1331|cobalt|south|rotor|22|paid
1636|gale|east|valve|53|paid
1973|birch|west|gasket|81|paid
1092|acme|south|frame|92|held
1310|gale|west|valve|85|shipped
1854|ionic|south|valve|95|shipped
1095|acme|south|cable|80|pending
1518|dorian|east|valve|92|shipped
2027|dorian|west|rotor|14|pending
1924|juno|south|panel|53|paid
2075|gale|north|frame|34|shipped
1827|acme|north|gasket|36|held
1121|dorian|north|valve|12|shipped
1862|ember|east|sensor|12|shipped
1323|ember|north|sensor|15|held
1543|fulton|south|rotor|43|held
1764|harbor|west|pump|34|shipped
1707|fulton|west|cable|57|shipped
1649|fulton|east|pump|37|shipped
1549|gale|west|valve|29|shipped
1239|acme|south|cable|62|shipped
1509|fulton|west|rotor|22|held
1124|acme|east|gasket|11|shipped
2030|harbor|east|pump|96|pending
1284|harbor|east|gasket|48|shipped
1713|dorian|west|rotor|58|paid
1905|ember|east|rotor|16|held
1236|birch|north|rotor|93|paid
1652|birch|south|valve|93|held
2068|birch|west|cable|67|held
1085|acme|south|frame|61|shipped
1777|gale|west|valve|64|shipped
1839|gale|south|panel|78|shipped
1715|acme|west|panel|94|pending
1977|ember|north|sensor|76|paid
1314|gale|south|sensor|13|pending
1337|gale|south|gasket|55|pending
1268|ember|west|cable|24|shipped
2015|juno|north|valve|57|paid
1793|juno|north|gasket|46|pending
1454|birch|east|cable|20|pending
1844|ember|north|sensor|32|shipped
1643|juno|north|sensor|28|pending
2050|birch|west|rotor|34|held
1660|ember|east|valve|51|paid
1215|cobalt|south|gasket|65|paid
1756|juno|east|valve|37|held
1610|juno|west|panel|26|pending
1429|juno|north|gasket|66|pending
1503|gale|south|sensor|95|held
1399|fulton|south|valve|36|shipped
1443|birch|east|panel|28|pending
1138|harbor|north|sensor|92|shipped
1851|dorian|north|cable|90|pending
1605|cobalt|south|rotor|24|paid
2082|birch|south|cable|81|held
1579|gale|east|panel|73|pending
2055|birch|north|cable|75|pending
1481|ember|west|valve|38|paid
1663|ember|west|gasket|75|paid
1817|acme|north|frame|72|pending
1120|juno|south|gasket|31|held
1771|cobalt|east|frame|93|shipped
1665|dorian|south|sensor|25|held
1907|gale|north|gasket|77|pending
1220|dorian|north|cable|31|paid
1749|birch|east|cable|93|held
1286|gale|west|frame|47|shipped
1336|juno|south|pump|32|shipped
1248|ionic|east|panel|12|shipped
1735|juno|north|sensor|63|paid
1195|cobalt|east|cable|97|pending
1431|cobalt|east|valve|93|pending
1991|fulton|south|valve|61|shipped
1681|ionic|east|sensor|73|pending
1162|harbor|north|sensor|68|pending
1927|juno|north|rotor|88|held
1117|ember|west|panel|90|paid
1535|ionic|west|valve|61|pending
1955|cobalt|east|panel|26|pending
1819|birch|east|gasket|54|pending
1127|cobalt|west|frame|46|paid
1895|juno|north|pump|42|held
1776|birch|south|rotor|86|paid
1099|acme|north|sensor|99|pending
1267|acme|south|cable|48|pending
1881|ionic|west|cable|31|pending
1520|gale|north|rotor|11|pending
1884|harbor|east|frame|64|held
1512|ionic|west|cable|35|shipped
1227|harbor|west|gasket|51|paid
1132|cobalt|south|cable|53|pending
1209|juno|north|frame|56|paid
1341|cobalt|north|gasket|90|shipped
1470|harbor|north|frame|70|held
1923|acme|east|rotor|23|pending
2002|acme|north|cable|91|paid
1563|ionic|east|pump|76|shipped
1087|acme|south|pump|61|pending
1594|gale|east|rotor|56|pending
1918|birch|west|pump|53|paid
1946|dorian|south|frame|56|pending
1761|cobalt|south|cable|18|shipped
1722|ember|east|panel|14|paid
1667|cobalt|north|pump|59|shipped
1900|gale|west|panel|39|pending
1618|dorian|west|pump|36|held
1612|cobalt|south|cable|64|paid
1914|ionic|south|rotor|70|held
1698|acme|north|sensor|50|shipped
1541|juno|west|frame|19|held
1591|acme|east|cable|28|shipped
1797|ionic|east|gasket|39|pending
1079|acme|north|pump|65|pending
1823|gale|south|valve|34|paid
1783|ember|east|gasket|38|shipped
2007|gale|north|frame|21|held
1139|cobalt|south|pump|67|pending
1359|harbor|west|frame|72|paid
1416|fulton|east|sensor|47|shipped
1486|acme|west|panel|90|held
1418|ember|east|pump|29|paid
1671|acme|south|frame|95|held
1461|gale|west|pump|50|paid
1277|harbor|east|rotor|96|paid
1240|ionic|west|gasket|86|paid
1653|birch|north|panel|33|paid
1438|juno|west|cable|17|shipped
1385|fulton|north|cable|20|paid
1984|fulton|east|pump|41|paid
1531|dorian|north|rotor|10|shipped
1170|fulton|north|panel|49|paid
1488|fulton|south|pump|73|shipped
2013|ionic|east|gasket|36|pending
1527|dorian|south|pump|25|paid
1600|juno|east|panel|32|pending
1969|juno|west|cable|16|pending
1405|fulton|east|panel|67|paid
2024|birch|south|pump|75|held
1188|gale|west|gasket|20|pending
2008|acme|east|pump|94|held
1625|fulton|south|frame|59|held
1273|juno|west|cable|88|held
1345|fulton|north|sensor|32|pending
2019|juno|south|panel|72|pending
1572|gale|east|pump|94|held
2035|fulton|east|sensor|13|paid
1419|cobalt|east|rotor|24|paid
2090|birch|south|valve|93|paid
1329|acme|north|rotor|26|held
1855|gale|north|frame|19|held
1701|ember|south|valve|81|pending
2088|gale|north|frame|19|paid
1677|harbor|north|frame|28|shipped
1901|juno|west|cable|85|paid
1373|acme|west|panel|24|shipped
1366|juno|east|rotor|38|pending
1379|juno|west|gasket|77|held
1208|acme|east|valve|90|paid
1232|juno|west|gasket|81|shipped
1348|gale|east|cable|33|held
1224|ionic|west|sensor|27|shipped
1934|harbor|north|panel|34|held
1186|dorian|east|gasket|82|paid
1566|ionic|south|frame|23|paid
1305|gale|north|gasket|51|pending
1891|harbor|west|valve|85|shipped
1319|acme|south|valve|89|pending
1298|dorian|west|valve|97|shipped
1177|ember|north|cable|19|paid
1426|harbor|east|valve|88|shipped
1965|ionic|east|panel|27|held
1271|cobalt|south|gasket|90|held
1867|juno|east|pump|35|paid
1995|birch|west|rotor|99|pending
1949|ember|east|rotor|19|pending
1500|fulton|south|cable|15|pending
1672|fulton|south|frame|37|pending
1343|gale|north|panel|67|paid
1390|gale|west|pump|58|held
2040|birch|south|frame|31|paid
1110|ionic|north|valve|67|shipped
1998|ember|north|rotor|10|shipped
1644|dorian|west|frame|33|paid
1458|birch|north|valve|41|paid
1149|dorian|east|frame|76|held
1629|fulton|east|valve|62|paid
1446|birch|north|sensor|73|pending
1592|acme|north|pump|29|held
1491|ember|south|frame|55|paid
2064|ember|south|sensor|30|shipped
1587|gale|south|sensor|34|pending
1917|birch|west|cable|67|shipped
1453|ember|north|sensor|29|paid
1307|acme|west|sensor|74|paid
1703|ember|north|frame|85|pending
1693|ember|east|valve|10|held
1893|birch|north|valve|96|shipped
1550|birch|east|sensor|44|held
1340|ember|east|sensor|17|held
1476|fulton|east|sensor|40|paid
1192|fulton|south|sensor|59|paid
1937|cobalt|west|cable|12|held
1164|fulton|north|valve|28|held
1781|dorian|south|cable|57|pending
1729|acme|south|panel|24|pending
1261|juno|west|gasket|99|shipped
1241|fulton|east|panel|96|shipped
1674|acme|east|sensor|50|paid
1806|gale|north|cable|91|paid
1105|acme|south|pump|87|held
1464|ember|west|valve|23|paid
1887|ionic|east|frame|44|shipped
1392|harbor|east|frame|40|held
1813|gale|west|pump|66|paid
1204|ember|north|sensor|71|pending
1089|acme|west|valve|60|pending
1759|ionic|east|gasket|90|shipped
1557|cobalt|south|cable|91|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "cancel_order", "args": {"order_id": 1077}},
{"tool": "cancel_order", "args": {"order_id": 1087}},
{"tool": "restock", "args": {"item": "cable", "qty": 80}},
{"tool": "cancel_order", "args": {"order_id": 1267}},
{"tool": "restock", "args": {"item": "valve", "qty": 89}},
{"tool": "cancel_order", "args": {"order_id": 1729}}
]correctagentic.tools.ledger-v1conf 100% · 220ms · $0.002 · 426 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: $770
- kilo: $189
- tango: $251
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $558 from "delta" to "kilo"
2. pay $92 from "delta" to "kilo"
3. pay $158 from "kilo" to "delta"
4. pay $579 from "tango" to "kilo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 558}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 92}},
{"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 158}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 328}},
{"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 579}}
]correctagentic.tools.triage-v1conf 100% · 143ms · $0.002 · 573 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 → rivera
- data → chen
- auth → haddad
INCIDENTS:
1. "API latency spikes" (category: infra, priority 7)
2. "API latency spikes" (category: infra, priority 7)
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": "API latency spikes", "priority": 7}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "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": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}}
]correctagentic.tools.context-load-v1conf 100% · 765ms · $0.014 · 2973 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):
```
1639|ionic|east|gasket|73|paid
1741|ionic|east|panel|37|paid
2467|acme|east|panel|61|pending
1331|fulton|south|valve|61|pending
2332|dorian|east|panel|93|paid
1377|cobalt|north|valve|51|shipped
2194|cobalt|west|pump|39|paid
2253|cobalt|west|gasket|77|paid
1454|harbor|south|panel|65|pending
1438|ionic|west|frame|96|paid
1905|ionic|west|frame|25|pending
2435|juno|south|frame|11|held
2479|ember|east|cable|45|pending
2073|gale|east|frame|32|paid
1824|cobalt|north|sensor|11|paid
2207|acme|west|cable|98|held
1513|acme|east|gasket|33|paid
1902|juno|south|gasket|68|held
1366|fulton|east|frame|52|pending
1541|dorian|west|panel|60|paid
1947|acme|south|rotor|75|shipped
1774|ember|south|rotor|81|held
2118|juno|east|pump|27|pending
2215|juno|south|pump|39|held
1708|harbor|west|frame|50|held
1599|harbor|north|rotor|74|held
2289|fulton|west|frame|91|paid
1615|acme|north|rotor|41|paid
2408|ionic|north|rotor|27|held
2000|acme|west|sensor|30|held
1882|ember|east|pump|33|pending
2351|acme|north|gasket|30|held
1389|juno|south|pump|55|pending
1629|ember|north|valve|70|held
2114|gale|north|pump|35|paid
2470|harbor|east|cable|48|shipped
2388|dorian|south|gasket|12|held
1415|acme|north|gasket|11|held
1609|acme|east|sensor|56|pending
2400|ionic|north|rotor|14|held
2136|ionic|west|valve|99|pending
1451|dorian|south|panel|73|pending
2505|gale|east|valve|55|paid
2201|juno|south|rotor|66|paid
1575|juno|west|rotor|29|paid
2044|harbor|north|panel|78|shipped
1372|fulton|south|gasket|53|paid
1909|fulton|east|pump|40|pending
1717|acme|south|rotor|98|held
1518|acme|south|panel|18|paid
2460|birch|north|frame|74|shipped
2496|cobalt|west|frame|83|pending
2261|gale|south|sensor|55|pending
1972|birch|east|rotor|12|pending
2127|birch|south|gasket|78|paid
2334|ember|south|valve|83|pending
2102|harbor|west|rotor|44|pending
2115|juno|east|cable|46|shipped
1847|acme|north|rotor|57|held
1809|cobalt|north|panel|41|held
1675|gale|east|rotor|61|paid
1727|dorian|east|rotor|65|held
2211|cobalt|north|pump|31|held
2268|ionic|north|pump|18|pending
2414|gale|south|valve|79|paid
1701|fulton|east|rotor|20|shipped
1688|cobalt|west|frame|40|held
1640|gale|north|cable|59|pending
2303|acme|west|cable|43|paid
1602|juno|north|rotor|85|pending
1650|ionic|east|cable|52|pending
1780|harbor|south|pump|24|shipped
2068|gale|east|pump|97|held
1726|acme|north|panel|62|paid
2065|cobalt|north|rotor|39|shipped
1724|cobalt|east|rotor|48|shipped
2425|birch|south|rotor|26|paid
2313|juno|north|frame|90|held
1504|dorian|west|panel|69|pending
1998|fulton|east|valve|46|pending
1713|ember|west|sensor|88|shipped
2216|ember|west|gasket|51|pending
2090|fulton|west|frame|45|pending
2480|harbor|west|cable|79|held
2052|ember|north|frame|10|shipped
1572|ember|north|rotor|47|held
1815|harbor|west|gasket|94|paid
1320|fulton|south|cable|77|held
1500|ember|west|pump|73|pending
2516|cobalt|north|pump|85|paid
1736|birch|east|gasket|26|shipped
1735|gale|south|sensor|25|shipped
2422|cobalt|north|panel|96|pending
1329|fulton|south|frame|87|paid
2195|harbor|north|frame|62|shipped
1681|dorian|south|gasket|53|shipped
2128|cobalt|west|valve|52|pending
1411|birch|east|valve|97|paid
1822|juno|south|valve|19|pending
1633|birch|north|frame|48|shipped
1931|ionic|east|valve|41|pending
1562|dorian|west|gasket|48|pending
1747|acme|west|valve|57|held
1939|dorian|east|frame|45|held
1762|fulton|west|frame|43|paid
1657|birch|north|frame|15|pending
2129|juno|west|gasket|64|held
1457|ember|east|panel|92|pending
1874|ember|north|valve|28|paid
1395|harbor|east|valve|84|shipped
1721|birch|east|gasket|38|held
2171|ionic|south|gasket|85|paid
2383|ionic|north|valve|69|paid
1365|fulton|south|rotor|67|pending
1328|fulton|west|valve|10|pending
1699|juno|north|cable|73|paid
1469|ember|east|cable|16|held
1577|cobalt|west|rotor|95|pending
2051|birch|north|sensor|14|paid
1463|ember|north|rotor|82|shipped
2148|juno|south|rotor|28|shipped
1807|acme|south|sensor|57|paid
1522|cobalt|west|frame|96|paid
1672|dorian|east|sensor|32|pending
1953|juno|east|frame|98|held
1789|juno|south|gasket|58|shipped
2355|birch|south|rotor|81|pending
2417|juno|south|pump|32|pending
2254|dorian|west|panel|71|held
1313|fulton|east|pump|47|pending
2301|harbor|south|cable|67|paid
1685|birch|south|panel|78|held
2369|birch|east|pump|69|shipped
1756|cobalt|east|gasket|95|held
1916|juno|west|panel|61|pending
1337|fulton|north|sensor|59|pending
1966|ionic|west|rotor|10|held
2037|juno|west|frame|10|held
1871|fulton|north|panel|86|pending
1829|birch|west|cable|82|held
1837|gale|east|gasket|41|paid
2159|juno|north|frame|60|held
1307|fulton|south|gasket|83|pending
2343|harbor|west|cable|33|pending
1896|harbor|west|gasket|57|shipped
1396|ionic|east|valve|85|shipped
2237|acme|west|rotor|22|shipped
2431|harbor|north|frame|65|held
2016|birch|west|pump|49|shipped
2079|acme|south|panel|10|shipped
1325|fulton|south|pump|17|pending
1987|cobalt|east|rotor|83|shipped
2141|acme|east|gasket|12|paid
2524|juno|west|gasket|26|pending
1843|acme|south|rotor|46|shipped
2272|birch|south|sensor|17|shipped
2375|gale|west|pump|40|paid
1851|ionic|east|sensor|93|shipped
1484|ionic|north|sensor|83|shipped
2009|ember|south|valve|15|shipped
2283|acme|south|sensor|50|shipped
2510|juno|north|valve|57|held
2231|fulton|south|cable|88|shipped
2475|birch|west|rotor|49|pending
2489|birch|south|rotor|20|pending
1935|cobalt|south|rotor|14|shipped
2307|cobalt|west|valve|17|paid
1434|juno|north|pump|35|paid
1677|dorian|west|panel|68|paid
1589|gale|west|sensor|65|paid
1798|ember|south|gasket|68|paid
2132|cobalt|south|sensor|98|held
1620|cobalt|north|rotor|80|paid
2152|ember|east|cable|23|shipped
2086|acme|north|gasket|12|pending
2306|gale|west|pump|19|pending
1419|juno|south|cable|82|shipped
1390|birch|east|gasket|93|shipped
1734|ionic|north|rotor|83|shipped
2336|birch|east|frame|91|shipped
2031|acme|west|rotor|50|held
1611|harbor|north|rotor|44|held
2327|fulton|east|rotor|91|shipped
2138|ember|south|panel|22|shipped
2060|ionic|north|valve|20|held
1666|harbor|north|cable|87|paid
1994|juno|east|gasket|78|paid
2026|acme|east|panel|23|shipped
2294|ionic|west|gasket|57|paid
2438|gale|east|pump|69|paid
1555|cobalt|north|sensor|20|pending
1823|ember|south|rotor|15|held
1716|dorian|north|rotor|62|pending
1943|gale|north|gasket|73|paid
1491|juno|east|sensor|18|pending
1696|juno|north|valve|29|pending
2444|cobalt|south|panel|52|shipped
1549|cobalt|south|gasket|16|shipped
1751|birch|east|valve|14|paid
1860|dorian|west|valve|25|pending
1507|ionic|south|cable|27|shipped
1387|cobalt|east|panel|11|shipped
2381|fulton|west|valve|87|held
1516|dorian|south|valve|30|pending
2018|ionic|north|panel|92|pending
2454|dorian|east|rotor|71|paid
2426|ionic|north|pump|78|paid
1889|gale|north|gasket|43|pending
2143|ember|south|rotor|27|pending
1402|fulton|north|frame|72|paid
2097|ember|south|panel|34|held
1344|fulton|south|pump|68|shipped
2243|dorian|north|pump|51|paid
1359|fulton|south|gasket|45|paid
2367|ionic|north|pump|71|held
2222|gale|north|gasket|96|shipped
2320|birch|north|valve|60|shipped
1783|acme|west|gasket|41|shipped
2055|cobalt|east|sensor|12|shipped
1866|gale|north|frame|10|held
1476|juno|south|rotor|86|paid
1814|gale|north|panel|47|held
1662|ionic|east|frame|14|held
1408|gale|west|gasket|71|pending
2002|harbor|west|sensor|81|paid
1692|gale|south|panel|48|paid
2360|ionic|north|panel|86|held
1605|cobalt|south|valve|40|pending
1380|birch|south|frame|29|shipped
1584|harbor|north|gasket|76|held
2403|juno|west|gasket|70|held
2394|ember|south|cable|50|held
1802|fulton|east|gasket|86|pending
1445|juno|east|cable|29|pending
1349|fulton|south|frame|37|pending
2015|ember|west|sensor|62|pending
1919|juno|west|cable|87|paid
2486|gale|west|rotor|33|pending
1868|ionic|south|cable|10|shipped
2266|cobalt|south|pump|28|held
1921|fulton|east|frame|98|pending
1627|ember|east|gasket|92|shipped
1477|birch|north|sensor|47|pending
1769|dorian|west|rotor|29|pending
2124|cobalt|south|pump|66|held
2503|ionic|north|frame|91|shipped
1854|acme|south|cable|34|paid
2227|ember|south|cable|16|pending
1959|gale|south|panel|32|shipped
1795|ember|north|frame|45|paid
2036|acme|north|panel|24|shipped
1545|cobalt|east|panel|18|held
1899|harbor|north|sensor|57|shipped
1496|dorian|south|panel|67|pending
2446|fulton|north|frame|52|pending
2249|gale|east|valve|96|paid
1534|juno|west|panel|52|held
1352|fulton|west|panel|36|pending
1474|fulton|east|rotor|64|pending
2342|juno|east|frame|71|pending
2451|harbor|east|panel|22|paid
2109|fulton|west|cable|61|shipped
2346|dorian|east|gasket|40|held
2178|dorian|west|frame|30|shipped
1980|dorian|north|panel|92|pending
2185|ember|north|panel|96|shipped
1878|ionic|west|cable|70|held
1970|fulton|west|panel|33|pending
1928|ionic|west|sensor|49|held
2020|dorian|south|valve|98|paid
2370|harbor|north|cable|46|shipped
2371|ionic|south|cable|37|pending
1597|fulton|west|sensor|19|shipped
1656|ember|north|panel|10|held
2048|dorian|south|frame|55|paid
2518|acme|north|sensor|60|paid
1644|fulton|east|sensor|75|shipped
2187|dorian|west|frame|77|paid
1978|juno|south|cable|46|shipped
1427|acme|west|sensor|36|pending
1869|fulton|north|gasket|62|pending
1592|birch|west|valve|78|paid
1862|fulton|north|sensor|78|pending
1528|gale|east|cable|46|pending
2075|ember|east|frame|21|shipped
2392|cobalt|north|rotor|16|shipped
1991|dorian|north|gasket|16|pending
1399|dorian|south|rotor|53|shipped
2279|fulton|east|panel|10|paid
2484|juno|east|sensor|37|held
2164|ionic|south|sensor|71|held
1420|acme|north|pump|20|held
1568|cobalt|west|sensor|46|shipped
1831|cobalt|east|valve|27|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 83}},
{"tool": "cancel_order", "args": {"order_id": 1325}},
{"tool": "restock", "args": {"item": "valve", "qty": 61}},
{"tool": "cancel_order", "args": {"order_id": 1349}},
{"tool": "restock", "args": {"item": "rotor", "qty": 67}}
]correctagentic.tools.deploy-v1conf 100% · 644ms · $0.002 · 495 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: auth-svc, reports
- auth-svc: notifier, reports
- notifier: reports
- reports: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "health_check", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 230ms · $0.002 · 463 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $477
- echo: $893
- tango: $669
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $156 from "echo" to "tango"
2. pay $522 from "kilo" to "echo"
3. pay $582 from "kilo" to "tango"
4. pay $599 from "kilo" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 156}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 45}},
{"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 522}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 582}},
{"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 582}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 599}},
{"tool": "transfer", "args": {"from": "kilo", "to": "echo", "amount": 599}}
]correctagentic.tools.triage-v1conf 100% · 176ms · $0.004 · 1045 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → silva
- infra → novak
- payments → tanaka
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 9)
3. "card declined at checkout" (category: payments, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}
]wrongagentic.tools.context-load-v1conf 100% · 2.2s · $0.009 · 1641 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 (295 records, format: id|customer|region|item|qty|status):
```
2420|gale|south|valve|63|paid
1869|birch|north|cable|51|shipped
2067|juno|west|cable|62|shipped
1730|harbor|south|frame|52|shipped
2173|acme|north|valve|93|shipped
1991|ionic|south|frame|74|pending
2246|harbor|east|valve|94|pending
2161|juno|south|frame|77|held
1607|ionic|east|gasket|10|pending
1493|juno|east|rotor|43|shipped
2346|birch|west|valve|11|paid
1929|birch|west|pump|71|held
2589|ember|east|panel|69|pending
1460|fulton|south|pump|18|pending
2257|birch|south|rotor|76|paid
2356|acme|north|panel|73|shipped
1622|birch|north|sensor|24|paid
2105|birch|east|rotor|84|pending
2320|cobalt|north|frame|92|held
2520|ionic|west|panel|17|pending
1462|fulton|north|cable|49|shipped
2604|ember|east|pump|17|shipped
2549|birch|south|panel|16|paid
1447|fulton|north|valve|14|pending
2560|juno|south|valve|44|held
2201|harbor|west|pump|14|paid
2212|ionic|east|panel|71|held
1526|acme|south|gasket|93|pending
1931|cobalt|south|panel|33|paid
1638|gale|west|frame|13|pending
1694|harbor|west|rotor|38|held
2240|ionic|east|valve|31|held
1578|gale|south|gasket|57|paid
2341|gale|north|sensor|51|held
1758|gale|west|pump|80|shipped
2233|birch|west|frame|40|paid
2496|ember|west|cable|41|shipped
1857|birch|east|sensor|43|pending
1564|juno|north|valve|85|pending
2448|ionic|south|sensor|72|shipped
2301|acme|west|sensor|76|shipped
2260|gale|east|pump|16|held
1809|cobalt|east|cable|79|held
1955|ionic|south|cable|18|pending
1571|acme|west|pump|92|pending
1452|fulton|south|cable|65|pending
2381|birch|south|sensor|64|shipped
2045|birch|south|gasket|16|paid
1888|birch|north|pump|85|shipped
2538|cobalt|south|valve|17|pending
1725|fulton|east|gasket|93|held
1582|gale|north|panel|12|held
1969|ionic|west|gasket|66|held
2133|juno|north|frame|19|pending
2281|cobalt|north|valve|60|paid
1650|birch|west|cable|76|shipped
2127|ember|south|gasket|33|shipped
1513|birch|east|rotor|27|pending
1827|juno|south|frame|66|shipped
2054|harbor|south|valve|24|pending
1792|ember|north|panel|87|shipped
1459|fulton|north|gasket|74|pending
2153|cobalt|south|valve|80|pending
2032|gale|north|rotor|15|shipped
1674|acme|north|pump|61|pending
2537|cobalt|south|sensor|23|pending
1651|juno|south|cable|43|pending
2489|fulton|east|gasket|31|shipped
2026|birch|west|cable|71|paid
2068|cobalt|north|frame|90|shipped
2095|harbor|south|cable|23|paid
1909|birch|west|gasket|63|shipped
2316|juno|north|frame|39|pending
1970|ionic|north|pump|43|shipped
2567|gale|south|sensor|26|paid
1960|dorian|north|gasket|68|pending
2020|harbor|west|valve|17|pending
2603|dorian|south|valve|64|pending
1602|ionic|south|frame|12|paid
1644|ionic|east|panel|59|pending
2636|harbor|west|panel|30|held
2509|acme|east|valve|36|paid
1985|fulton|east|frame|27|paid
2192|birch|north|gasket|12|paid
2329|dorian|east|pump|84|shipped
1683|harbor|north|frame|59|pending
2099|gale|west|gasket|19|pending
1775|gale|west|rotor|35|shipped
2231|birch|west|rotor|21|pending
1585|acme|north|cable|63|paid
1920|birch|north|sensor|57|paid
1780|acme|south|pump|59|shipped
2454|dorian|west|panel|27|pending
2372|cobalt|west|panel|50|shipped
2312|ionic|north|rotor|47|shipped
2265|ember|south|frame|94|held
2620|dorian|north|rotor|36|paid
1554|juno|south|panel|87|shipped
1686|acme|north|frame|70|paid
2253|dorian|east|sensor|77|paid
2384|harbor|west|sensor|62|pending
1895|ionic|east|valve|16|pending
1943|dorian|south|pump|95|shipped
1504|harbor|north|frame|61|shipped
2342|ionic|west|panel|28|held
1990|acme|east|gasket|14|pending
2399|cobalt|south|panel|95|held
2292|birch|east|cable|23|shipped
1470|fulton|north|pump|53|paid
1587|harbor|west|frame|16|paid
1510|juno|west|sensor|71|paid
1479|dorian|west|rotor|28|shipped
1646|birch|west|frame|51|shipped
2181|juno|south|cable|97|paid
2546|acme|east|cable|25|held
1977|gale|east|panel|88|pending
1769|dorian|west|pump|32|held
1739|acme|south|valve|80|pending
2040|gale|east|cable|77|held
2080|juno|west|gasket|54|pending
2222|dorian|east|frame|82|paid
2075|ember|south|rotor|72|pending
2297|juno|north|sensor|72|pending
1516|fulton|south|gasket|75|paid
2088|acme|east|gasket|38|held
1746|harbor|north|cable|81|shipped
1815|cobalt|south|valve|45|held
2285|juno|east|cable|90|paid
1728|juno|east|rotor|25|pending
1799|ionic|west|panel|92|shipped
2583|dorian|south|gasket|10|held
1557|gale|west|gasket|35|pending
1734|ember|east|sensor|88|shipped
2473|cobalt|west|valve|85|pending
1889|juno|west|panel|73|shipped
2531|gale|north|sensor|68|paid
2600|gale|east|frame|72|held
2188|gale|north|rotor|24|pending
2416|harbor|east|rotor|83|shipped
1671|birch|north|rotor|60|held
1962|juno|west|panel|75|pending
1691|birch|east|gasket|69|paid
1576|ionic|north|cable|26|pending
1919|gale|south|gasket|76|pending
2617|acme|north|frame|55|paid
1631|birch|north|sensor|62|pending
2174|acme|south|gasket|72|pending
1842|harbor|east|gasket|60|held
1949|fulton|west|sensor|69|pending
2417|acme|west|cable|61|held
2269|harbor|north|sensor|30|paid
1688|ionic|west|valve|38|pending
2005|gale|south|rotor|83|pending
2461|gale|south|sensor|12|paid
1716|gale|east|gasket|25|held
1788|birch|south|frame|40|paid
2058|gale|north|rotor|67|paid
1980|gale|north|sensor|65|held
1937|fulton|north|panel|72|shipped
2397|fulton|north|frame|34|pending
1465|fulton|north|sensor|45|pending
2063|acme|west|valve|48|pending
2507|acme|north|sensor|82|held
1777|cobalt|south|pump|64|paid
1678|gale|east|rotor|35|shipped
2198|birch|east|panel|96|held
2478|cobalt|south|frame|57|paid
2036|birch|east|rotor|33|pending
1986|cobalt|west|panel|48|paid
2442|acme|north|valve|64|paid
1456|fulton|north|panel|57|shipped
2435|acme|west|cable|38|held
2526|ionic|south|pump|88|shipped
2148|cobalt|west|panel|40|paid
2060|gale|east|panel|77|pending
1880|gale|west|sensor|61|held
2547|dorian|south|valve|93|shipped
1828|ionic|north|frame|12|pending
1862|gale|south|pump|21|paid
2510|birch|west|gasket|23|shipped
2427|juno|east|panel|95|pending
1538|ionic|east|pump|45|paid
1851|juno|north|frame|22|pending
2004|birch|south|pump|12|paid
1632|dorian|east|pump|33|pending
2168|harbor|north|sensor|33|paid
1765|cobalt|east|sensor|93|held
2429|cobalt|north|sensor|68|held
2017|harbor|west|frame|95|held
1561|harbor|south|frame|26|held
1710|dorian|north|frame|69|held
2215|ember|south|valve|56|pending
2350|juno|east|frame|57|paid
2139|ionic|south|valve|22|paid
1499|dorian|north|gasket|97|paid
1847|cobalt|south|frame|36|pending
2602|ionic|east|cable|45|held
2499|gale|north|panel|18|pending
2175|fulton|west|rotor|83|paid
2125|ionic|east|valve|11|held
2394|juno|east|valve|96|paid
1749|cobalt|north|panel|12|pending
1550|birch|south|cable|31|held
2529|ember|west|frame|64|held
2365|gale|west|frame|10|shipped
2314|birch|east|sensor|66|paid
1595|birch|south|pump|96|held
2335|dorian|north|cable|15|shipped
2204|birch|east|gasket|68|paid
1892|harbor|south|rotor|40|held
1704|cobalt|east|valve|70|shipped
1837|ember|south|rotor|46|held
1787|gale|south|gasket|75|held
2385|harbor|east|gasket|98|paid
2307|gale|west|pump|52|pending
2158|juno|north|gasket|46|paid
2623|ionic|south|cable|25|held
2377|birch|north|rotor|91|pending
1911|acme|east|rotor|59|pending
2112|harbor|north|gasket|25|held
2580|dorian|east|sensor|79|pending
1737|harbor|east|panel|36|pending
1545|cobalt|north|panel|29|paid
2359|ionic|north|sensor|43|held
2441|ember|east|pump|58|paid
1876|gale|east|rotor|10|held
2410|gale|south|gasket|93|held
2419|fulton|east|pump|61|paid
1619|dorian|north|cable|25|pending
1469|fulton|south|sensor|70|pending
1912|dorian|north|panel|25|pending
2348|acme|west|cable|66|pending
2407|acme|north|cable|29|paid
2119|juno|west|pump|24|pending
2244|ember|east|rotor|12|held
2326|cobalt|east|gasket|29|pending
2569|ember|north|valve|54|pending
1472|cobalt|west|rotor|65|shipped
1818|juno|west|gasket|24|paid
1754|cobalt|west|cable|43|paid
2226|fulton|south|frame|77|shipped
2391|fulton|north|frame|30|held
1820|birch|west|frame|98|shipped
1966|birch|north|rotor|59|pending
2211|harbor|east|panel|46|paid
1486|birch|south|frame|75|shipped
1835|cobalt|north|gasket|16|shipped
1653|acme|west|rotor|91|pending
2493|dorian|east|sensor|96|held
2484|fulton|south|cable|93|paid
2610|gale|west|panel|29|held
1666|fulton|north|cable|41|pending
2476|harbor|east|cable|63|paid
2275|dorian|east|valve|46|pending
1998|fulton|east|frame|87|pending
1629|dorian|north|valve|62|paid
1886|dorian|south|frame|87|held
1531|dorian|south|frame|38|paid
1612|fulton|west|cable|52|paid
2086|juno|south|panel|37|held
1762|harbor|north|sensor|11|paid
2479|cobalt|east|pump|31|pending
1834|ember|south|valve|41|pending
2319|acme|north|panel|46|pending
1495|fulton|west|pump|55|shipped
2593|harbor|south|rotor|16|pending
2403|juno|east|cable|59|paid
2048|dorian|south|cable|37|pending
2111|birch|west|rotor|63|paid
2009|birch|south|rotor|52|shipped
1572|cobalt|east|frame|12|held
1581|fulton|north|frame|78|shipped
1907|birch|west|pump|87|pending
1933|birch|west|sensor|85|pending
1699|ember|south|valve|48|pending
2500|ionic|west|pump|50|shipped
1901|ember|south|sensor|96|shipped
2570|fulton|west|valve|91|held
1588|birch|south|panel|86|paid
1719|birch|west|frame|84|held
2142|gale|east|panel|78|held
2468|ionic|east|panel|19|shipped
2629|birch|north|cable|36|pending
2517|ionic|west|gasket|96|paid
2577|gale|north|valve|77|shipped
1659|juno|south|cable|34|pending
1770|fulton|west|pump|54|paid
1511|birch|west|panel|43|paid
2010|dorian|west|rotor|47|pending
2554|juno|west|gasket|69|held
1819|fulton|south|pump|53|paid
1805|fulton|north|pump|31|shipped
1519|fulton|south|frame|38|held
1922|ember|north|frame|47|pending
2542|ionic|west|pump|31|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 74}},
{"tool": "cancel_order", "args": {"order_id": 1465}},
{"tool": "cancel_order", "args": {"order_id": 1666}},
{"tool": "cancel_order", "args": {"order_id": 2397}}
]correctagentic.tools.deploy-v1conf 100% · 432ms · $0.002 · 479 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: (none)
- reports: auth-svc, billing
- search: billing
- auth-svc: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "billing" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "health_check", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1conf 100% · 700ms · $0.002 · 480 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $534
- bravo: $379
- echo: $328
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $244 from "echo" to "bravo"
2. pay $549 from "tango" to "echo"
3. pay $288 from "tango" to "bravo"
4. pay $334 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": "bravo", "amount": 244}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 15}},
{"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 549}},
{"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 288}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 288}},
{"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 334}}
]correctagentic.tools.triage-v1conf 100% · 122ms · $0.003 · 689 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- data → okafor
- auth → tanaka
INCIDENTS:
1. "refund double-charged" (category: payments, priority 8)
2. "refund double-charged" (category: payments, priority 8)
3. "cannot reset password" (category: auth, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}
]correctagentic.tools.ledger-v1conf 100% · 279ms · $0.002 · 442 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $366
- bravo: $597
- alpha: $880
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $150 from "alpha" to "kilo"
2. pay $454 from "kilo" to "alpha"
3. pay $517 from "kilo" to "alpha"
4. pay $559 from "bravo" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 150}},
{"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 454}},
{"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 455}},
{"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 517}},
{"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 559}}
]correctagentic.tools.deploy-v1conf 100% · 665ms · $0.001 · 344 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: gateway
- gateway: (none)
- reports: gateway
- notifier: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}}
]wrongagentic.tools.triage-v1conf 100% · 127ms · $0.003 · 834 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → okafor
- payments → chen
- infra → novak
INCIDENTS:
1. "export file corrupted" (category: data, priority 5)
2. "export file corrupted" (category: data, priority 5)
3. "webhooks not delivered" (category: infra, priority 5)
4. "export file corrupted" (category: data, 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": "export file corrupted", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 3}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.context-load-v1conf 100% · 414ms · $0.009 · 1859 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 (198 records, format: id|customer|region|item|qty|status):
```
1651|harbor|east|sensor|54|held
1423|acme|south|cable|97|shipped
1675|harbor|south|pump|77|shipped
2017|dorian|east|panel|96|pending
1589|ionic|north|rotor|94|paid
2011|gale|south|frame|44|paid
1465|acme|north|valve|68|shipped
1593|fulton|east|panel|15|paid
2053|harbor|west|cable|95|paid
1837|dorian|west|panel|47|paid
1772|harbor|west|cable|58|paid
1897|ionic|west|frame|98|pending
1866|birch|north|sensor|90|pending
1560|ember|south|valve|53|paid
1809|cobalt|south|pump|45|shipped
2081|juno|south|panel|61|paid
1369|fulton|south|frame|63|held
1873|ember|west|frame|96|held
1322|fulton|south|pump|93|pending
1793|gale|east|gasket|84|shipped
2101|cobalt|north|valve|83|pending
1726|juno|west|frame|23|paid
1696|acme|east|panel|24|held
1430|birch|south|rotor|84|held
1678|harbor|east|valve|20|paid
2003|cobalt|north|pump|96|held
1323|fulton|east|frame|80|pending
1481|cobalt|east|rotor|33|shipped
1764|ember|south|frame|98|shipped
1405|acme|south|panel|13|shipped
1455|ember|west|panel|47|pending
1658|acme|north|rotor|28|held
1983|juno|west|valve|21|held
2085|dorian|west|gasket|84|held
1745|gale|west|gasket|90|pending
1381|birch|east|pump|41|shipped
1836|juno|west|pump|14|pending
1333|fulton|north|frame|88|pending
1345|fulton|north|cable|75|pending
1949|birch|west|frame|71|paid
1729|juno|north|cable|62|paid
1801|ionic|west|rotor|60|held
1471|gale|east|frame|14|paid
1999|harbor|west|frame|60|pending
1526|juno|west|sensor|88|held
1691|ionic|west|pump|94|pending
1711|ember|west|sensor|71|held
1354|fulton|south|cable|36|shipped
1491|gale|north|gasket|16|held
1647|dorian|west|gasket|61|paid
2071|acme|north|panel|55|shipped
1959|gale|south|panel|94|shipped
1737|ionic|north|sensor|62|shipped
1383|gale|north|sensor|31|pending
1553|fulton|south|gasket|76|pending
1567|birch|east|rotor|18|paid
1922|fulton|west|gasket|69|held
1827|ember|east|rotor|52|shipped
1721|ember|east|valve|71|paid
2028|dorian|north|panel|18|pending
1488|dorian|east|valve|72|shipped
1628|ionic|south|pump|96|pending
1916|juno|east|gasket|60|shipped
1681|cobalt|west|valve|77|shipped
1821|acme|west|gasket|88|paid
1449|cobalt|south|rotor|57|held
1671|acme|north|valve|81|pending
1533|ember|north|panel|65|pending
1640|dorian|south|frame|73|held
1624|dorian|south|gasket|78|pending
1580|harbor|west|frame|83|held
1390|gale|east|pump|86|pending
1445|harbor|north|sensor|12|shipped
1462|fulton|east|cable|20|paid
2059|fulton|south|cable|33|paid
1490|ember|south|valve|34|shipped
1406|dorian|north|sensor|76|shipped
1863|ember|east|frame|59|paid
1857|dorian|south|panel|67|held
1600|dorian|west|cable|55|pending
1838|ember|west|gasket|67|held
1522|ember|south|gasket|73|pending
1511|fulton|north|pump|60|pending
1972|birch|north|valve|64|held
1672|gale|east|pump|92|pending
1372|ionic|south|sensor|84|held
1984|juno|east|panel|25|shipped
1854|harbor|west|cable|93|paid
1605|juno|west|gasket|85|pending
1415|juno|north|cable|17|shipped
1782|dorian|west|cable|75|pending
1686|ionic|west|panel|15|paid
1397|ionic|north|cable|86|held
1800|ionic|south|pump|43|paid
1497|ember|north|frame|48|paid
1574|birch|north|sensor|52|shipped
2061|harbor|south|frame|95|paid
1422|harbor|east|pump|26|paid
1635|fulton|east|gasket|49|shipped
2078|cobalt|north|cable|71|shipped
1702|harbor|east|frame|57|paid
1404|juno|east|sensor|25|pending
1441|acme|west|pump|40|shipped
1875|fulton|east|pump|13|paid
1575|gale|south|pump|80|paid
1870|ionic|east|pump|49|shipped
1834|gale|east|frame|14|paid
1325|fulton|south|rotor|84|paid
1883|gale|south|cable|76|shipped
2057|harbor|south|panel|26|paid
1637|gale|north|rotor|61|pending
1968|acme|west|sensor|44|shipped
1752|harbor|south|cable|61|held
1987|acme|north|panel|47|paid
1578|ember|north|valve|13|pending
1547|ionic|south|gasket|70|paid
1736|gale|north|cable|92|held
1540|cobalt|south|frame|71|held
1748|harbor|north|pump|42|shipped
1896|gale|east|cable|93|paid
1740|fulton|north|panel|88|paid
1653|birch|east|gasket|11|paid
1566|harbor|west|rotor|84|held
1523|cobalt|north|panel|75|paid
1890|dorian|north|frame|67|shipped
2095|birch|east|pump|31|shipped
1881|juno|west|gasket|31|held
1938|fulton|east|valve|43|pending
2091|gale|east|cable|80|paid
2018|dorian|north|frame|57|held
1543|gale|east|panel|63|paid
1577|juno|south|rotor|67|shipped
1905|ember|west|sensor|98|held
1826|acme|east|frame|31|shipped
1352|fulton|south|frame|65|pending
2069|ionic|west|panel|12|held
1326|fulton|south|panel|36|pending
1599|birch|north|valve|22|pending
1590|fulton|north|panel|53|shipped
1925|fulton|east|rotor|55|paid
1895|fulton|west|gasket|17|shipped
1714|ember|west|cable|78|held
1944|juno|south|gasket|73|paid
2048|juno|east|panel|73|paid
2022|gale|south|valve|31|paid
1517|juno|south|frame|96|pending
1994|acme|west|pump|58|pending
1845|acme|west|rotor|95|held
1779|harbor|north|cable|36|held
1363|fulton|north|valve|24|pending
1657|dorian|north|pump|10|pending
1789|gale|west|pump|64|shipped
1379|birch|east|sensor|20|held
1680|juno|east|rotor|16|held
1846|ember|west|cable|31|paid
1509|harbor|east|rotor|67|shipped
2019|acme|west|panel|98|pending
1617|gale|north|cable|48|pending
1815|ionic|south|pump|14|held
2041|fulton|south|frame|36|pending
1336|fulton|south|rotor|17|held
1977|fulton|south|valve|11|held
1928|acme|south|gasket|92|pending
1757|ionic|east|panel|96|shipped
1931|dorian|west|rotor|37|paid
1549|gale|north|gasket|29|held
1910|gale|north|gasket|70|shipped
1709|ionic|south|cable|86|held
1901|cobalt|north|sensor|97|shipped
1475|gale|west|pump|44|paid
2064|dorian|south|frame|33|shipped
1349|fulton|south|frame|57|shipped
1767|dorian|west|cable|52|paid
1552|acme|west|pump|61|paid
1902|harbor|east|gasket|47|held
1342|fulton|south|gasket|63|pending
1356|fulton|south|gasket|29|pending
1353|fulton|east|cable|73|pending
1954|fulton|north|pump|86|pending
1436|cobalt|south|pump|43|shipped
1850|acme|east|cable|51|shipped
1939|juno|west|valve|40|held
1666|harbor|west|gasket|35|pending
1964|ionic|south|gasket|90|pending
2007|ember|north|valve|61|shipped
1410|birch|south|pump|83|paid
1504|ember|south|pump|12|paid
1735|fulton|south|valve|47|held
2050|birch|north|rotor|65|pending
1665|ionic|south|valve|46|shipped
1992|birch|south|valve|55|held
1582|gale|east|gasket|95|shipped
1532|ember|south|gasket|34|paid
1807|ember|east|cable|31|paid
1762|dorian|east|valve|13|paid
1611|juno|south|rotor|69|held
2035|juno|east|valve|12|shipped
1900|acme|north|valve|60|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "pump", "qty": 93}},
{"tool": "cancel_order", "args": {"order_id": 1326}},
{"tool": "restock", "args": {"item": "gasket", "qty": 63}},
{"tool": "restock", "args": {"item": "frame", "qty": 65}},
{"tool": "cancel_order", "args": {"order_id": 1356}},
{"tool": "restock", "args": {"item": "gasket", "qty": 76}},
{"tool": "cancel_order", "args": {"order_id": 2041}}
]correctagentic.tools.context-load-v1conf 100% · 601ms · $0.011 · 2601 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (143 records, format: id|customer|region|item|qty|status):
```
1395|birch|east|cable|11|pending
1250|dorian|north|cable|70|paid
1546|ionic|south|panel|88|shipped
1105|ionic|south|pump|54|paid
1365|fulton|north|pump|14|shipped
1406|ionic|north|cable|80|paid
1064|ember|west|rotor|69|shipped
1337|harbor|west|valve|29|held
1623|gale|east|valve|45|paid
1486|birch|west|frame|74|paid
1630|birch|north|valve|62|pending
1351|birch|east|frame|64|shipped
1494|ionic|south|sensor|68|pending
1204|acme|east|pump|13|pending
1048|ember|west|rotor|93|shipped
1109|acme|west|sensor|33|held
1601|cobalt|north|panel|13|paid
1097|cobalt|east|rotor|27|held
1341|ionic|west|pump|84|held
1252|acme|north|pump|33|shipped
1209|dorian|north|frame|88|pending
1511|ember|east|valve|84|held
1179|dorian|north|pump|62|paid
1080|acme|east|sensor|83|pending
1479|acme|west|valve|18|paid
1243|gale|south|sensor|68|paid
1103|ember|south|frame|97|shipped
1088|juno|east|valve|30|pending
1184|cobalt|south|rotor|24|held
1559|fulton|east|rotor|84|held
1488|acme|west|rotor|80|shipped
1057|ember|west|cable|66|shipped
1384|dorian|east|panel|39|paid
1387|birch|east|panel|88|paid
1188|fulton|north|rotor|32|paid
1321|fulton|west|pump|33|pending
1290|harbor|west|gasket|89|shipped
1275|dorian|north|pump|51|pending
1451|birch|south|rotor|79|held
1552|birch|south|pump|56|pending
1128|gale|west|pump|49|shipped
1508|juno|south|frame|38|pending
1594|dorian|east|pump|74|held
1245|dorian|south|cable|86|held
1394|harbor|south|cable|92|paid
1628|acme|south|panel|21|shipped
1130|ionic|north|cable|10|paid
1463|cobalt|south|frame|64|shipped
1219|gale|north|cable|28|held
1168|birch|west|rotor|81|paid
1454|dorian|north|rotor|70|held
1449|cobalt|south|valve|19|shipped
1618|ember|west|frame|36|shipped
1509|fulton|south|frame|37|paid
1551|gale|north|panel|68|held
1293|cobalt|west|pump|46|paid
1334|birch|north|cable|76|held
1262|juno|east|frame|12|shipped
1586|gale|east|panel|11|pending
1054|ember|west|panel|87|pending
1500|harbor|east|cable|91|pending
1459|dorian|south|frame|54|pending
1227|fulton|east|pump|22|held
1258|harbor|east|pump|44|pending
1360|ionic|east|pump|47|held
1629|juno|south|gasket|43|paid
1081|ember|east|frame|95|held
1580|harbor|east|panel|82|held
1612|juno|west|frame|44|held
1306|juno|west|valve|26|shipped
1399|juno|east|valve|97|pending
1378|ember|west|valve|76|paid
1151|birch|west|pump|51|held
1198|cobalt|north|sensor|27|paid
1428|harbor|east|frame|98|held
1118|birch|west|valve|33|held
1527|fulton|north|frame|62|shipped
1534|birch|west|panel|27|pending
1232|fulton|west|sensor|53|shipped
1289|gale|south|gasket|26|held
1391|juno|west|frame|10|held
1058|ember|west|rotor|30|pending
1266|ionic|north|cable|99|pending
1416|harbor|north|sensor|30|paid
1435|juno|south|gasket|93|pending
1310|gale|south|valve|48|shipped
1207|cobalt|north|cable|70|pending
1067|ember|south|frame|76|shipped
1475|ember|west|gasket|66|paid
1224|harbor|west|panel|10|pending
1571|juno|east|valve|72|paid
1538|dorian|north|valve|87|paid
1073|acme|north|pump|89|held
1220|gale|east|sensor|75|shipped
1173|acme|east|pump|98|held
1356|harbor|south|gasket|51|shipped
1137|juno|west|rotor|88|shipped
1501|harbor|south|frame|39|shipped
1411|cobalt|south|frame|54|shipped
1144|acme|north|gasket|88|held
1371|ember|west|cable|15|shipped
1111|fulton|south|panel|56|pending
1564|juno|west|frame|60|held
1178|birch|east|sensor|97|shipped
1092|acme|east|panel|59|held
1042|ember|east|sensor|27|pending
1121|harbor|west|panel|30|pending
1239|dorian|south|rotor|63|pending
1282|fulton|north|sensor|76|held
1299|ember|west|cable|51|shipped
1308|ionic|north|rotor|19|pending
1348|fulton|south|gasket|44|pending
1279|ionic|east|rotor|44|held
1432|ember|south|frame|69|shipped
1063|ember|south|valve|92|pending
1540|dorian|west|cable|95|paid
1327|birch|north|rotor|40|pending
1483|harbor|south|pump|25|paid
1272|ionic|east|sensor|20|held
1589|birch|west|valve|98|shipped
1412|juno|north|valve|74|paid
1604|birch|west|cable|51|paid
1192|ember|south|valve|57|pending
1156|ember|north|gasket|35|held
1422|acme|east|cable|90|pending
1041|ember|west|panel|96|pending
1554|juno|north|frame|80|shipped
1563|harbor|west|cable|92|pending
1578|gale|west|panel|75|shipped
1468|acme|east|valve|67|pending
1607|gale|south|sensor|79|pending
1520|ember|west|frame|17|pending
1515|fulton|north|panel|78|shipped
1598|ember|west|pump|92|held
1453|gale|north|cable|89|paid
1361|gale|south|rotor|75|shipped
1603|dorian|north|gasket|14|pending
1214|acme|west|valve|26|shipped
1163|gale|north|gasket|22|held
1316|fulton|north|sensor|11|held
1442|gale|west|panel|95|shipped
1055|ember|south|rotor|29|pending
1241|cobalt|north|rotor|92|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "panel", "qty": 96}},
{"tool": "restock", "args": {"item": "panel", "qty": 87}},
{"tool": "cancel_order", "args": {"order_id": 1058}},
{"tool": "cancel_order", "args": {"order_id": 1520}}
]correctagentic.tools.deploy-v1conf 100% · 598ms · $0.002 · 388 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- search: auth-svc
- notifier: billing, search
- billing: auth-svc
- auth-svc: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "notifier"}}
]correctagentic.tools.ledger-v1conf 100% · 258ms · $0.002 · 383 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: $697
- tango: $810
- lima: $633
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $94 from "tango" to "lima"
2. pay $251 from "lima" to "delta"
3. pay $232 from "tango" to "delta"
4. pay $204 from "delta" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 94}},
{"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 251}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 232}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 204}}
]correctagentic.tools.triage-v1conf 100% · 192ms · $0.004 · 1025 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → dubois
- payments → silva
- infra → chen
INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 6)
2. "locked out after 2FA change" (category: auth, priority 6)
3. "uploads failing intermittently" (category: infra, 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": "locked out after 2FA change", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}}
]correctagentic.tools.context-load-v1conf 100% · 208ms · $0.006 · 913 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (274 records, format: id|customer|region|item|qty|status):
```
2082|ember|east|cable|22|shipped
2457|acme|north|cable|60|pending
2247|dorian|west|sensor|22|paid
1397|harbor|north|valve|73|pending
1518|gale|west|rotor|30|shipped
2447|cobalt|west|valve|90|paid
1747|ember|west|sensor|33|held
1669|ionic|west|rotor|36|held
1635|fulton|east|pump|93|shipped
1779|dorian|south|cable|15|shipped
1440|harbor|north|valve|20|shipped
2050|ember|north|sensor|13|pending
1971|birch|north|cable|15|shipped
2022|gale|west|panel|45|held
1935|ember|west|pump|16|paid
1753|gale|west|cable|60|paid
2354|gale|south|cable|76|shipped
1947|gale|east|cable|23|paid
1759|dorian|east|sensor|53|shipped
1922|gale|north|frame|11|shipped
2101|birch|west|gasket|93|shipped
1562|cobalt|east|valve|25|pending
1717|harbor|north|cable|95|paid
1673|cobalt|east|panel|69|pending
2249|dorian|south|panel|26|paid
1483|ionic|east|sensor|12|pending
1528|gale|east|cable|97|held
1627|dorian|east|pump|64|paid
1656|acme|east|gasket|74|shipped
2403|ionic|south|panel|70|paid
2111|dorian|west|valve|66|shipped
2173|harbor|east|rotor|59|shipped
2226|birch|east|gasket|13|shipped
2278|fulton|north|frame|61|shipped
1550|ember|east|rotor|98|shipped
2383|birch|north|gasket|93|shipped
1697|acme|north|cable|36|shipped
1925|acme|west|frame|55|paid
1606|cobalt|east|rotor|13|shipped
2283|juno|east|panel|52|paid
1628|ionic|east|pump|22|shipped
1533|dorian|west|pump|91|held
1593|cobalt|west|frame|23|held
1920|gale|east|pump|10|paid
2269|birch|west|cable|44|paid
1693|cobalt|east|sensor|54|shipped
2156|acme|south|cable|70|held
2208|birch|north|pump|90|shipped
2302|juno|west|pump|92|pending
2362|acme|west|sensor|43|shipped
2424|dorian|west|frame|44|shipped
1928|acme|south|gasket|87|pending
1576|harbor|east|gasket|87|shipped
2216|dorian|north|gasket|58|pending
1646|dorian|west|frame|73|shipped
1796|juno|east|sensor|43|held
1619|dorian|south|frame|96|shipped
1724|ember|east|rotor|13|paid
1661|gale|east|cable|91|paid
1642|juno|north|frame|90|pending
1721|gale|west|pump|38|pending
2114|juno|south|gasket|86|pending
1923|dorian|east|cable|22|shipped
1998|dorian|west|rotor|14|pending
2436|cobalt|west|valve|32|shipped
2317|cobalt|west|cable|65|paid
2297|fulton|east|panel|54|pending
2422|fulton|north|gasket|48|pending
1749|ionic|west|cable|67|paid
1470|juno|south|valve|10|paid
2072|birch|west|gasket|83|held
1913|gale|west|gasket|58|pending
2280|fulton|east|rotor|97|shipped
1491|birch|east|cable|79|shipped
2039|harbor|west|frame|85|shipped
1713|cobalt|north|valve|75|held
1736|ionic|west|panel|10|pending
1578|gale|south|sensor|11|paid
1494|gale|south|frame|61|paid
2214|dorian|north|sensor|27|paid
1830|juno|south|rotor|52|pending
2234|fulton|south|panel|41|held
2218|fulton|east|sensor|64|paid
2434|juno|south|pump|20|shipped
2152|cobalt|east|pump|36|pending
2378|birch|north|gasket|89|shipped
1660|acme|south|valve|20|shipped
1884|acme|east|pump|99|held
2324|juno|east|panel|47|paid
2204|ember|west|valve|45|held
1857|fulton|north|pump|65|paid
2287|juno|west|cable|61|shipped
2338|birch|east|gasket|11|paid
1474|cobalt|east|panel|88|pending
1815|juno|north|sensor|36|pending
2342|acme|north|gasket|79|paid
1505|gale|east|frame|30|held
1894|juno|east|cable|11|paid
1430|harbor|north|frame|46|paid
2393|dorian|west|frame|33|held
1829|ember|east|sensor|62|held
1741|juno|south|sensor|47|held
2095|juno|south|valve|61|paid
2009|ionic|south|valve|92|paid
1810|harbor|south|valve|25|paid
2076|ionic|east|frame|26|shipped
2003|birch|west|gasket|67|shipped
2159|harbor|east|sensor|74|paid
1547|cobalt|east|panel|41|paid
1502|ember|south|valve|78|held
1420|harbor|north|gasket|70|pending
1680|ember|north|panel|76|paid
1482|fulton|north|panel|65|paid
1772|birch|north|rotor|89|held
1871|dorian|west|panel|59|shipped
1450|harbor|east|valve|89|pending
1552|birch|west|pump|77|held
1689|birch|east|valve|90|paid
1864|dorian|south|gasket|60|shipped
1706|gale|east|rotor|63|paid
1839|dorian|west|cable|90|shipped
1500|fulton|north|pump|22|shipped
2028|gale|east|gasket|14|pending
1579|harbor|west|valve|10|shipped
1556|dorian|west|panel|71|shipped
1643|dorian|north|rotor|79|pending
2373|ionic|east|pump|58|shipped
1613|harbor|north|pump|21|held
1901|cobalt|north|cable|72|shipped
2367|gale|south|frame|83|paid
1715|birch|east|cable|65|held
2300|harbor|east|pump|81|held
1942|acme|north|pump|35|shipped
2389|ionic|north|pump|10|pending
1586|birch|east|valve|43|paid
1727|cobalt|west|cable|19|pending
1488|birch|east|panel|82|pending
2319|gale|east|panel|95|held
1541|ionic|south|valve|91|shipped
2328|fulton|east|panel|20|shipped
1795|cobalt|south|cable|11|shipped
1805|dorian|west|panel|27|shipped
2054|juno|south|pump|41|paid
2451|birch|north|rotor|67|held
1599|ember|east|rotor|23|paid
1549|birch|east|sensor|32|paid
2336|ionic|south|panel|23|shipped
1979|fulton|north|panel|73|pending
1722|ember|south|gasket|12|pending
1506|dorian|east|panel|68|pending
2177|acme|north|gasket|81|shipped
1882|fulton|west|rotor|22|pending
1664|harbor|west|sensor|27|shipped
2130|gale|east|sensor|38|held
2262|acme|east|rotor|30|paid
2330|dorian|west|valve|47|pending
1906|acme|south|panel|86|paid
2013|birch|west|panel|78|paid
1716|cobalt|south|gasket|63|paid
2044|juno|east|cable|48|paid
1513|dorian|east|valve|87|pending
1477|dorian|west|valve|80|paid
2351|fulton|west|panel|26|held
1567|ember|south|sensor|45|pending
2099|acme|west|frame|53|held
2141|birch|east|frame|47|pending
2109|ember|east|pump|14|pending
1437|harbor|south|cable|29|pending
1424|harbor|east|pump|78|pending
1875|fulton|south|frame|84|pending
2134|juno|east|rotor|20|pending
2088|juno|south|panel|80|shipped
2191|ember|west|gasket|66|held
2230|dorian|north|rotor|66|pending
1410|harbor|north|pump|32|pending
1919|ember|south|valve|63|shipped
2121|fulton|east|panel|41|shipped
2225|birch|south|rotor|67|held
1695|juno|north|pump|89|shipped
1632|fulton|south|pump|40|paid
2441|cobalt|north|cable|87|paid
1986|ember|west|valve|23|pending
2005|cobalt|south|pump|67|held
2189|ionic|west|frame|22|pending
2197|harbor|south|pump|79|held
2229|ember|west|gasket|75|shipped
1955|gale|east|sensor|44|pending
1564|cobalt|south|rotor|61|pending
2058|dorian|north|sensor|59|paid
2273|birch|west|sensor|16|pending
1456|harbor|north|sensor|82|paid
1903|ionic|north|gasket|91|shipped
2077|dorian|west|valve|45|shipped
1685|cobalt|north|cable|92|pending
1787|dorian|east|panel|72|held
1950|juno|south|sensor|55|held
1417|harbor|south|cable|50|pending
1702|gale|west|frame|11|paid
1403|harbor|west|gasket|58|pending
2037|ionic|north|pump|42|paid
2034|harbor|west|valve|83|held
1734|acme|north|panel|66|paid
2293|ionic|south|pump|41|shipped
2258|dorian|west|frame|32|shipped
1794|dorian|north|rotor|46|shipped
1878|acme|south|frame|52|shipped
2363|ionic|north|rotor|71|held
1766|cobalt|west|cable|94|pending
2089|harbor|north|frame|87|held
1540|birch|north|pump|37|paid
2108|dorian|north|sensor|19|paid
1850|gale|west|gasket|75|shipped
2299|dorian|west|sensor|73|shipped
2183|ember|west|frame|85|paid
2172|ionic|east|valve|82|shipped
2057|birch|east|valve|33|paid
1739|dorian|south|gasket|94|paid
1939|fulton|south|gasket|79|pending
2345|acme|north|panel|99|held
1570|acme|south|sensor|11|held
1538|dorian|east|rotor|82|held
2118|harbor|west|gasket|92|shipped
2165|birch|east|valve|37|shipped
2415|juno|south|pump|41|shipped
2069|ionic|west|sensor|96|shipped
2065|birch|south|panel|14|shipped
2316|cobalt|west|pump|94|pending
1750|ionic|north|sensor|25|held
1620|dorian|south|gasket|95|shipped
1649|ionic|west|frame|76|held
2241|dorian|east|panel|26|pending
1679|harbor|north|valve|16|pending
1784|gale|south|cable|90|pending
1929|acme|south|sensor|95|held
1887|juno|east|valve|94|pending
2106|ember|east|gasket|89|pending
1991|ember|north|sensor|21|held
2408|ionic|north|pump|57|shipped
2252|birch|south|pump|38|pending
1817|gale|east|panel|76|shipped
2360|gale|south|cable|97|pending
1962|acme|north|frame|57|pending
1522|ember|north|gasket|38|paid
1512|fulton|east|sensor|14|paid
1467|birch|west|gasket|52|held
1845|acme|west|sensor|26|shipped
1820|harbor|north|cable|82|pending
2399|ember|west|cable|85|pending
1461|fulton|west|valve|74|held
2027|cobalt|south|gasket|34|shipped
1571|ionic|east|sensor|39|held
2411|ember|north|gasket|46|pending
2123|ember|south|pump|32|paid
1832|gale|east|cable|27|shipped
1407|harbor|north|sensor|28|held
1419|harbor|north|pump|87|shipped
1445|harbor|north|valve|84|pending
1641|gale|east|panel|64|shipped
1853|ionic|east|sensor|31|shipped
1498|birch|north|pump|43|paid
1826|juno|north|gasket|22|paid
1432|harbor|north|cable|22|pending
1965|harbor|south|pump|87|shipped
2017|gale|west|gasket|22|pending
2301|juno|south|rotor|27|pending
2428|birch|east|gasket|91|shipped
2335|ember|north|valve|32|shipped
1653|gale|east|panel|41|shipped
2148|juno|north|rotor|35|shipped
1802|juno|south|sensor|65|held
1974|dorian|west|cable|71|held
1667|dorian|north|gasket|83|paid
2309|fulton|south|pump|83|paid
2448|juno|south|frame|98|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "restock", "args": {"item": "valve", "qty": 73}},
{"tool": "cancel_order", "args": {"order_id": 1410}},
{"tool": "restock", "args": {"item": "gasket", "qty": 70}},
{"tool": "cancel_order", "args": {"order_id": 1432}},
{"tool": "restock", "args": {"item": "valve", "qty": 84}},
{"tool": "cancel_order", "args": {"order_id": 1679}},
{"tool": "restock", "args": {"item": "cable", "qty": 82}}
]correctagentic.tools.deploy-v1conf 100% · 126ms · $0.002 · 446 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: reports
- reports: (none)
- gateway: notifier, reports
- auth-svc: notifier, reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 547ms · $0.002 · 423 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- tango: $649
- delta: $437
- kilo: $315
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $335 from "delta" to "kilo"
2. pay $405 from "delta" to "kilo"
3. pay $405 from "tango" to "kilo"
4. pay $235 from "tango" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 335}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 303}},
{"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 405}},
{"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 405}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 235}}
]correctagentic.tools.triage-v1conf 100% · 1.3s · $0.004 · 1038 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 → haddad
- infra → okafor
- payments → chen
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 7)
2. "dashboard shows stale numbers" (category: data, priority 7)
3. "card declined at checkout" (category: payments, priority 2)
4. "export file corrupted" (category: data, 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": "escalate", "args": {"ticket_id": "TCK-1"}},
{"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": "card declined at checkout", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 7}},
{"tool": "escalate", "args": {"ticket_id": "TCK-4"}},
{"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "haddad"}}
]correctagentic.tools.context-load-v1anchorconf 100% · 741ms · $0.010 · 2339 tok
model answer:
[
{"tool": "restock", "args": {"item": "gasket", "qty": 60}},
{"tool": "cancel_order", "args": {"order_id": 1368}},
{"tool": "cancel_order", "args": {"order_id": 1384}},
{"tool": "restock", "args": {"item": "frame", "qty": 58}},
{"tool": "restock", "args": {"item": "rotor", "qty": 75}},
{"tool": "cancel_order", "args": {"order_id": 1682}}
]correctagentic.tools.deploy-v1conf 100% · 676ms · $0.001 · 346 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- search: auth-svc
- auth-svc: reports
- reports: gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}}
]correctagentic.tools.ledger-v1conf 100% · 476ms · $0.002 · 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:
- kilo: $635
- alpha: $575
- tango: $753
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $499 from "alpha" to "kilo"
2. pay $336 from "alpha" to "kilo"
3. pay $382 from "tango" to "alpha"
4. pay $108 from "kilo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 499}},
{"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 260}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 336}},
{"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 382}},
{"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 108}}
]correctagentic.tools.triage-v1conf 100% · 893ms · $0.002 · 486 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 → haddad
- infra → rivera
- payments → tanaka
INCIDENTS:
1. "cannot reset password" (category: auth, priority 7)
2. "API latency spikes" (category: infra, priority 5)
3. "cannot reset password" (category: auth, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.triage-v1anchorconf 100% · 1.0s · $0.004 · 913 tok
model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.deploy-v1anchorconf 100% · 144ms · $0.002 · 404 tok
model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "reports"}}
]correctagentic.tools.ledger-v1anchorconf 100% · 371ms · $0.002 · 584 tok
model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]code 30/30 correct
correctcode.trace.nested-v1conf 100% · 165ms · $0.004 · 995 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 == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
73correctcode.trace.js-v1conf 100% · 584ms · $0.001 · 153 tok
question
What does this JavaScript program log? ```js const arr = [9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 4) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
276correctcode.trace.nested-v1conf 100% · 689ms · $0.007 · 1856 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
146correctcode.trace.python-v1conf 100% · 321ms · $0.002 · 474 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 12
while total + v <= 83:
if v % 6 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
0correctcode.trace.js-v1conf 100% · 587ms · $0.001 · 220 tok
question
What does this JavaScript program log? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 6) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
504correctcode.trace.python-v1conf 100% · 1.0s · $0.001 · 205 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 13
while total + v <= 59:
if v % 7 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
48correctcode.trace.nested-v1conf 100% · 1.1s · $0.004 · 1248 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 == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
122correctcode.trace.nested-v1conf 100% · 486ms · $0.004 · 1133 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
146correctcode.trace.js-v1conf 100% · 888ms · $0.000 · 97 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10]; const out = arr .map(n => n * 3) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
45correctcode.trace.python-v1conf 100% · 825ms · $0.001 · 248 tok
question
What does this Python program print?
```python
total = 0
v = 15
while total + v <= 107:
if v % 7 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
72correctcode.trace.js-v1conf 100% · 665ms · $0.001 · 320 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 * 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:
36correctcode.trace.python-v1conf 100% · 1.7s · $0.004 · 1022 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 9
while total + v <= 116:
if v % 7 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
107correctcode.trace.python-v1conf 100% · 1.6s · $0.002 · 534 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 10
while total + v <= 90:
if v % 5 != 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:
72correctcode.trace.nested-v1conf 100% · 185ms · $0.006 · 1553 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 == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
213correctcode.trace.js-v1conf 100% · 1.5s · $0.001 · 168 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 7) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
56correctcode.trace.nested-v1conf 100% · 349ms · $0.002 · 505 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
70correctcode.trace.python-v1conf 100% · 1.2s · $0.002 · 567 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 4
while total + v <= 111:
if v % 7 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
110correctcode.trace.js-v1conf 100% · 664ms · $0.001 · 160 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13]; 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:
486correctcode.trace.nested-v1conf 100% · 1.1s · $0.006 · 1601 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
186correctcode.trace.nested-v1conf 100% · 1.8s · $0.004 · 1062 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
194correctcode.trace.python-v1conf 100% · 2.2s · $0.003 · 887 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 15
while total + v <= 112:
if v % 3 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
108correctcode.trace.js-v1conf 100% · 729ms · $0.001 · 225 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 4) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
168correctcode.trace.js-v1conf 100% · 455ms · $0.001 · 182 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 7) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84correctcode.trace.python-v1conf 100% · 316ms · $0.002 · 546 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 6
while total + v <= 111:
if v % 3 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.nested-v1conf 100% · 374ms · $0.004 · 1147 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.js-v1conf 100% · 1.4s · $0.001 · 125 tok
question
What does this JavaScript program log? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 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:
210correctcode.trace.nested-v1anchorconf 100% · 1.1s · $0.003 · 716 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 700ms · $0.001 · 295 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 442ms · $0.001 · 227 tok
model answer:
0correctcode.trace.python-v1anchorconf 100% · 243ms · $0.001 · 229 tok
model answer:
40instruction following 29/30 correct
correctif.constraints.stack-v1conf 100% · 713ms · $0.003 · 828 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "flint" and the last word must be "falcon". 3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint waves drift along the rocky shore as tides drift shells and currents drift near seabirds flying like a falconcorrectif.format.acronym-v1conf 100% · 216ms · $0.000 · 88 tok
question
Take the second letter of each of these words, in order: echo, lumen, quartz, orbit, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CUURLcorrectif.format.repeat-v1conf 100% · 548ms · $0.001 · 257 tok
question
Write the word "falcon" in uppercase 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:
FALCON_FALCON_FALCON_FALCON_FALCON_FALCON_FALCON_FALCON_FALCONcorrectif.constraints.stack-v1conf 100% · 918ms · $0.002 · 426 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "delta" and the last word must be "lumen". 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:
delta streets drift with neon dreams as cars drift beneath the silver moon toward lumencorrectif.format.acronym-v1conf 100% · 269ms · $0.001 · 183 tok
question
Take the first letter of each of these words, in order: delta, zephyr, nova, orbit, flint, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DZNOFEcorrectif.constraints.stack-v1conf 100% · 209ms · $0.002 · 414 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "delta" and the last word must be "comet". 3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
delta tundra mornings freeze silent tundra under pale winter light beyond the tundra cometcorrectif.format.repeat-v1conf 100% · 364ms · $0.001 · 268 tok
question
Write the word "tundra" in lowercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra/tundra/tundra/tundra/tundra/tundra/tundra/tundracorrectif.format.acronym-v1conf 100% · 1.2s · $0.001 · 231 tok
question
Take the second letter of each of these words, in order: falcon, zephyr, tundra, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AEUUcorrectif.constraints.stack-v1conf 100% · 681ms · $0.003 · 886 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "nova" and the last word must be "prism". 3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova waves crash flint gulls cry and flint tides turn as flint light bends into prismcorrectif.format.repeat-v1conf 100% · 760ms · $0.001 · 252 tok
question
Write the word "echo" in lowercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo_echo_echo_echo_echocorrectif.format.acronym-v1conf 100% · 1.8s · $0.000 · 104 tok
question
Take the second letter of each of these words, in order: orbit, cedar, delta, tundra, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
REEUAcorrectif.constraints.stack-v1conf 100% · 1.5s · $0.003 · 932 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "tundra" and the last word must be "drift". 3. Use the word "zephyr" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
tundra holds an old machine where zephyr stirs rust and zephyr guides the wheels driftcorrectif.format.repeat-v1conf 100% · 182ms · $0.001 · 362 tok
question
Write the word "prism" 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:
prism/prism/prism/prism/prism/prism/prism/prism/prismcorrectif.constraints.stack-v1conf 100% · 770ms · $0.003 · 712 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "drift" and the last word must be "cedar". 3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift across the sea under a comet and another comet while waves crash along the sandy green old cedarcorrectif.format.acronym-v1conf 100% · 256ms · $0.000 · 86 tok
question
Take the second letter of each of these words, in order: comet, zephyr, orbit, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
OERUcorrectif.format.repeat-v1conf 100% · 1.1s · $0.001 · 172 tok
question
Write the word "delta" 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:
DELTA-DELTA-DELTAcorrectif.format.acronym-v1conf 100% · 225ms · $0.001 · 250 tok
question
Take the first letter of each of these words, in order: prism, delta, echo, tundra, 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:
PDETDcorrectif.constraints.stack-v1conf 100% · 122ms · $0.002 · 625 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "comet" and the last word must be "echo". 3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
comet orbit glides past silent orbit where cold orbit winds fade into pale winter light before echocorrectif.format.repeat-v1conf 100% · 218ms · $0.001 · 275 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-Falconcorrectif.format.acronym-v1conf 100% · 5.3s · $0.001 · 202 tok
question
Take the second letter of each of these words, in order: zephyr, tundra, orbit, basalt, falcon, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EURAALcorrectif.format.repeat-v1conf 100% · 312ms · $0.001 · 195 tok
question
Write the word "falcon" 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:
FALCON/FALCON/FALCON/FALCON/FALCON/FALCON/FALCON/FALCONwrongif.constraints.stack-v1conf 100% · 192ms · $0.002 · 414 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "prism" and the last word must be "flint". 3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism light breaks cold and still; soft drifts drift across the drift of snow, breath sharp, sky gray, flintcorrectif.format.acronym-v1conf 100% · 223ms · $0.000 · 107 tok
question
Take the first letter of each of these words, in order: tundra, ember, quartz, cedar, comet, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
TEQCCDcorrectif.format.repeat-v1conf 100% · 664ms · $0.001 · 282 tok
question
Write the word "orbit" in lowercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit/orbit/orbit/orbit/orbit/orbit/orbit/orbitcorrectif.constraints.stack-v1conf 100% · 109ms · $0.002 · 402 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "quartz" 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 "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz waves glow beneath a bright comet sky as comet light and comet shadows dance over calm blue seas driftcorrectif.format.acronym-v1conf 100% · 1.0s · $0.001 · 180 tok
question
Take the first letter of each of these words, in order: echo, orbit, ember, delta, cedar, 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:
EOEDCTcorrectif.format.repeat-v1anchorconf 100% · 922ms · $0.001 · 179 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.constraints.stack-v1anchorconf 100% · 174ms · $0.002 · 651 tok
model answer:
drift through neon avenues where lumen signs flicker, lumen taxis glide, and lumen windows glow above silent streets that shimmer beneath silver moon orbitcorrectif.format.repeat-v1anchorconf 100% · 293ms · $0.001 · 225 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 239ms · $0.000 · 87 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 126ms · $0.000 · 107 tok
question
Identify 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 Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 124ms · $0.000 · 55 tok
question
Identify the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 553ms · $0.000 · 120 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 97ms · $0.000 · 120 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 743ms · $0.001 · 134 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 106ms · $0.000 · 89 tok
question
Identify the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 123ms · $0.000 · 103 tok
question
Identify the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 750ms · $0.001 · 145 tok
question
Name the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 224ms · $0.001 · 133 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:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 264ms · $0.001 · 143 tok
question
Identify 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 Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 112ms · $0.000 · 77 tok
question
Identify the chemical element with symbol Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 47 tok
question
Name 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:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 259ms · $0.000 · 114 tok
question
Identify the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 332ms · $0.001 · 223 tok
question
What is the Burmese capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 106 tok
question
Name 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:
Berncorrectknowledge.fr.factbank-v2conf 100% · 213ms · $0.000 · 95 tok
question
What is the author of "Things Fall Apart"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 110ms · $0.000 · 74 tok
question
Name the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 157ms · $0.001 · 169 tok
question
What is the element whose symbol is K? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 133ms · $0.000 · 59 tok
question
Name the chemical element with symbol Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 164ms · $0.000 · 41 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:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 4.5s · $0.000 · 104 tok
question
What is the chemical element with symbol Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 109ms · $0.000 · 63 tok
question
Identify the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 741ms · $0.001 · 183 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 Márquezcorrectknowledge.fr.factbank-v2conf 100% · 104ms · $0.000 · 87 tok
question
Identify 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:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 770ms · $0.000 · 120 tok
question
Name the chemical element with symbol Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 618ms · $0.000 · 119 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 174ms · $0.000 · 114 tok
question
Name the writer of the novel "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2anchorconf 100% · 202ms · $0.001 · 157 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 197ms · $0.000 · 65 tok
model answer:
antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 179ms · $0.000 · 120 tok
model answer:
Leadmath 29/30 correct
wrongmath.counterfactual.base-v1conf 100% · 1.0s · $0.005 · 1369 tok
question
Work strictly in base 7. Multiply the base-7 numbers 36 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:
3102_7correctmath.chained.pipeline-v1conf 100% · 692ms · $0.001 · 130 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 65 × 17. Step 2: Q = P × 3 − 473. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
712correctmath.percent.chain-v2conf 100% · 950ms · $0.002 · 476 tok
question
An inventory starts at 95000 units. Each pallet weighs about 97 grams more when wet. In the first month the inventory grows by 44%. Each pallet weighs about 64 grams more when wet. The next month it shrinks by 27%, and the month after it grows by 6%. 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:
105855.84correctmath.arith.chain-v2conf 100% · 500ms · $0.001 · 250 tok
question
Compute the value of the following expression. (((96 × 43 − 610) × 6 + 4330) − 73 × 25) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
118065correctmath.algebra.system-v2conf 100% · 129ms · $0.001 · 163 tok
question
Solve the system, then answer the derived question. 8x + 5y = -264 6x − 5y = 12 What is the value of 5x − 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:
6correctmath.chained.pipeline-v1conf 100% · 633ms · $0.001 · 154 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 44 × 82. Step 2: Q = P × 9 − 625. Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3987correctmath.counterfactual.base-v1conf 100% · 204ms · $0.009 · 2654 tok
question
Work strictly in base 11. Add the base-11 numbers 413 and 1798. 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:
2100correctmath.percent.chain-v2conf 100% · 116ms · $0.002 · 656 tok
question
An inventory starts at 19000 units. The delivery van has a 109-liter fuel tank. In the first month the inventory grows by 33%. A rival firm shipped 180 unrelated parcels the same week. The next month it shrinks by 35%, and the month after it grows by 29%. 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:
21188.90correctmath.algebra.system-v2conf 100% · 2.1s · $0.001 · 210 tok
question
Solve the system, then answer the derived question. 6x + 7y = -85 2x − 4y = 206 What is the value of 4x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
190correctmath.counterfactual.base-v1conf 100% · 1.1s · $0.002 · 494 tok
question
Work strictly in base 13. Multiply the base-13 numbers 31 and 54. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1344correctmath.arith.chain-v2conf 100% · 5.3s · $0.001 · 360 tok
question
Calculate the following. Show your reasoning, then answer. (((86 × 46 − 208) × 9 + 5320) − 22 × 93) × 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:
259042correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.001 · 341 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 54 × 41. Step 2: Q = P × 8 − 695. 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:
1897correctmath.percent.chain-v2conf 100% · 185ms · $0.002 · 576 tok
question
An inventory starts at 46000 units. The warehouse was painted 6 years ago. In the first month the inventory grows by 43%. A rival firm shipped 118 unrelated parcels the same week. The next month it shrinks by 25%, and the month after it grows by 42%. 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:
70055.7correctmath.algebra.system-v2conf 100% · 1.2s · $0.001 · 215 tok
question
Solve the system, then answer the derived question. 3x + 6y = -3 4x − 3y = -70 What is the value of 2x − 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:
-50correctmath.arith.chain-v2conf 100% · 1.1s · $0.001 · 223 tok
question
Compute the value of the following expression. (((61 × 33 − 970) × 7 + 6068) − 45 × 47) × 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:
22508correctmath.counterfactual.base-v1conf 100% · 1.3s · $0.001 · 406 tok
question
Work strictly in base 8. Add the base-8 numbers 5135 and 607. 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:
5744correctmath.chained.pipeline-v1conf 100% · 406ms · $0.001 · 133 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 25 × 30. Step 2: Q = P × 6 − 302. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1051correctmath.counterfactual.base-v1conf 100% · 6.4s · $0.002 · 539 tok
question
Work strictly in base 7. Add the base-7 numbers 11332 and 11133. 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:
22465correctmath.percent.chain-v2conf 100% · 198ms · $0.001 · 251 tok
question
An inventory starts at 53000 units. A rival firm shipped 91 unrelated parcels the same week. In the first month the inventory grows by 39%. A rival firm shipped 143 unrelated parcels the same week. The next month it shrinks by 5%, and the month after it grows by 34%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
93781.91correctmath.algebra.system-v2conf 100% · 223ms · $0.001 · 194 tok
question
Solve the system, then answer the derived question. 8x + 9y = 213 7x − 5y = -84 What is the value of 5x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-48correctmath.arith.chain-v2conf 100% · 226ms · $0.001 · 387 tok
question
Calculate the following. Show your reasoning, then answer. (((94 × 25 − 692) × 6 + 4763) − 33 × 64) × 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:
50396correctmath.chained.pipeline-v1conf 100% · 349ms · $0.001 · 123 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 32 × 43. Step 2: Q = P × 9 − 104. 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:
2456correctmath.percent.chain-v2conf 100% · 173ms · $0.002 · 436 tok
question
An inventory starts at 7000 units. A rival firm shipped 108 unrelated parcels the same week. In the first month the inventory grows by 5%. The company was founded 164 kilometers from the port. The next month it shrinks by 33%, and the month after it grows by 34%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
6598.83correctmath.counterfactual.base-v1anchorconf 100% · 1.1s · $0.001 · 377 tok
model answer:
11236correctmath.algebra.system-v2conf 100% · 185ms · $0.001 · 202 tok
question
Solve the system, then answer the derived question. 7x + 7y = 112 3x − 9y = -336 What is the value of 2x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-192correctmath.arith.chain-v2conf 100% · 95ms · $0.001 · 268 tok
question
Compute the value of the following expression. (((32 × 58 − 966) × 9 + 9161) − 33 × 16) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
83215correctmath.chained.pipeline-v1conf 100% · 143ms · $0.001 · 122 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 30 × 48. Step 2: Q = P × 3 − 359. Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
571correctmath.percent.chain-v2anchorconf 100% · 378ms · $0.003 · 956 tok
model answer:
61896.52correctmath.arith.chain-v2anchorconf 100% · 593ms · $0.001 · 374 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 601ms · $0.001 · 161 tok
model answer:
87multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 116ms · $0.001 · 224 tok
question
A number is written in French: « neuf cent quatre-vingts ». Another is written in Spanish: « seiscientos treinta y tres ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1613correctmultilingual.numword-v2conf 100% · 682ms · $0.001 · 207 tok
question
Compute 289 + 224, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent treizecorrectmultilingual.wordnum-v1conf 100% · 420ms · $0.001 · 238 tok
question
A number is written in French: « quatre cent quatre-vingt-dix-huit ». Another is written in Spanish: « ochocientos noventa 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:
1397correctmultilingual.wordnum-v1conf 100% · 1.5s · $0.001 · 157 tok
question
A number is written in French: « neuf cent quatre-vingt-huit ». Another is written in Spanish: « ciento noventa y ocho ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
790correctmultilingual.numword-v2conf 100% · 363ms · $0.000 · 124 tok
question
Compute 48 + 134, 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:
ciento ochenta y doscorrectmultilingual.numword-v2conf 100% · 2.3s · $0.001 · 263 tok
question
Compute 461 + 411, 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 soixante-douzecorrectmultilingual.wordnum-v1conf 100% · 238ms · $0.000 · 71 tok
question
A number is written in French: « neuf cent deux ». Another is written in Spanish: « cuatrocientos noventa ». 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:
1392correctmultilingual.numword-v2conf 100% · 212ms · $0.000 · 122 tok
question
Compute 125 + 277, 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 deuxcorrectmultilingual.wordnum-v1conf 100% · 594ms · $0.000 · 106 tok
question
A number is written in French: « huit cent trente-huit ». Another is written in Spanish: « ochocientos cincuenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-14correctmultilingual.numword-v2conf 100% · 325ms · $0.002 · 483 tok
question
Compute 405 + 282, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent quatre-vingt-septcorrectmultilingual.numword-v2conf 100% · 251ms · $0.000 · 111 tok
question
Compute 159 + 247, 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 seiscorrectmultilingual.wordnum-v1conf 100% · 745ms · $0.001 · 261 tok
question
A number is written in French: « neuf cent trente-huit ». Another is written in Spanish: « ciento sesenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1103correctmultilingual.wordnum-v1conf 100% · 264ms · $0.000 · 62 tok
question
A number is written in French: « six cent vingt ». Another is written in Spanish: « ochocientos treinta y cinco ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1455correctmultilingual.numword-v2conf 100% · 1.9s · $0.001 · 202 tok
question
Compute 128 + 202, 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 treintacorrectmultilingual.wordnum-v1conf 100% · 771ms · $0.001 · 147 tok
question
A number is written in French: « six cent quarante-deux ». Another is written in Spanish: « noventa 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:
741correctmultilingual.numword-v2conf 100% · 218ms · $0.001 · 149 tok
question
Compute 290 + 379, 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 sesenta y nuevecorrectmultilingual.numword-v2conf 100% · 94ms · $0.002 · 676 tok
question
Compute 223 + 67, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
deux cent quatre-vingt-dixcorrectmultilingual.wordnum-v1conf 100% · 643ms · $0.001 · 131 tok
question
A number is written in French: « cent quatre ». Another is written in Spanish: « quinientos 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:
-416correctmultilingual.numword-v2conf 100% · 100ms · $0.001 · 141 tok
question
Compute 499 + 89, 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-huitcorrectmultilingual.wordnum-v1conf 100% · 625ms · $0.000 · 119 tok
question
A number is written in French: « deux cent un ». Another is written in Spanish: « setecientos setenta ». 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:
971correctmultilingual.wordnum-v1conf 100% · 568ms · $0.001 · 122 tok
question
A number is written in French: « soixante-douze ». Another is written in Spanish: « ochocientos diecinueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
891correctmultilingual.numword-v2conf 100% · 396ms · $0.001 · 350 tok
question
Compute 392 + 273, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent soixante-cinqcorrectmultilingual.numword-v2conf 100% · 544ms · $0.001 · 297 tok
question
Compute 448 + 71, 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 dix-neufcorrectmultilingual.wordnum-v1conf 100% · 249ms · $0.001 · 141 tok
question
A number is written in French: « quatre cent quatre-vingt-dix-sept ». Another is written in Spanish: « setecientos setenta y seis ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1273correctmultilingual.numword-v2conf 100% · 207ms · $0.001 · 310 tok
question
Compute 425 + 276, 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 uncorrectmultilingual.wordnum-v1conf 100% · 208ms · $0.000 · 112 tok
question
A number is written in French: « trois cent quatre-vingt-trois ». Another is written in Spanish: « doscientos noventa y dos ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
675correctmultilingual.wordnum-v1anchorconf 100% · 552ms · $0.001 · 208 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 738ms · $0.001 · 315 tok
model answer:
seiscientos ochocorrectmultilingual.numword-v2anchorconf 100% · 208ms · $0.001 · 164 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 386ms · $0.001 · 128 tok
model answer:
762reasoning 28/30 correct
correctreasoning.deduction.position-v1conf 100% · 716ms · $0.000 · 110 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Mona. Mona is directly ahead of Rosa. Rosa is directly ahead of Dara. Dara is number 4 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.order-v2conf 100% · 10.0s · $0.002 · 646 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Jonas. Sami is heavier than everyone here, but Sami is not being ranked. Ola is faster than Priya. Farah is faster than Ola. Bruno is faster than Tessa. Tessa is faster than Nadir. Farah is faster than Jonas. Nadir is faster than Farah. Nadir is faster than Priya. Bruno is faster than Farah. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.order-v2conf 100% · 195ms · $0.001 · 240 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Liam. Ola is taller than Hana. Chen is heavier than everyone here, but Chen is not being ranked. Hana is taller than Jonas. Liam is taller than Jonas. Ola is taller than Jonas. Rosa is taller than Hana. Liam is taller than Dara. Dara is taller than Ola. Emil is taller than Rosa. 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:
Liamcorrectreasoning.deduction.position-v1conf 100% · 254ms · $0.001 · 179 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Tessa. Mona is directly ahead of Nadir. Tessa is directly ahead of Kira. Kira is number 4 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.order-v2conf 100% · 1.4s · $0.001 · 382 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Farah. Bruno is heavier than everyone here, but Bruno is not being ranked. Kira is older than Ola. Quinn is older than Ola. Farah is older than Quinn. Dara is older than Hana. Kira is older than Dara. Dara is older than Farah. Hana is older than Farah. Ola is older than Alice. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 100% · 1.0s · $0.001 · 248 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Emil. Dara is directly ahead of Farah. Emil 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:
Farahcorrectreasoning.deduction.position-v1conf 100% · 1.2s · $0.000 · 104 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Tessa. Tessa is number 3 in the queue. 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:
Tessawrongreasoning.deduction.position-v1conf 100% · 136ms · $0.010 · 2800 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Ola. Rosa is directly ahead of Tessa. Ola is number 3 in the queue. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Unknowncorrectreasoning.deduction.order-v2conf 100% · 189ms · $0.002 · 497 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Sami is older than Goran. Rosa is taller than everyone here, but Rosa is not being ranked. Sami is older than Goran. Sami is older than Ines. Ines is older than Kira. Farah is older than Sami. Alice is older than Farah. Sami is older than Bruno. Bruno is older than Goran. Goran is older than Ines. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Goranwrongreasoning.deduction.position-v1conf 100% · 827ms · $0.002 · 509 tok
question
Four people stand in a queue (number 1 is the front). Priya is number 3 in the queue. Chen is directly ahead of Priya. Quinn is directly ahead of Chen. 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:
Unknowncorrectreasoning.deduction.order-v2conf 100% · 537ms · $0.001 · 387 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ola is older than Kira. Liam is older than Kira. Alice is faster than everyone here, but Alice is not being ranked. Priya is older than Hana. Ola is older than Kira. Ola is older than Quinn. Quinn is older than Liam. Goran is older than Ola. Hana is older than Ola. Hana is older than Goran. 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:
Liamcorrectreasoning.deduction.position-v1conf 100% · 752ms · $0.000 · 102 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Rosa. Goran is number 1 in the queue. Mona is directly ahead of Kira. 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:
Gorancorrectreasoning.deduction.order-v2conf 100% · 232ms · $0.001 · 287 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Farah. Priya is older than Rosa. Alice is older than Priya. Rosa is older than Goran. Rosa is older than Sami. Alice is older than Goran. Farah is older than Alice. Jonas is faster than everyone here, but Jonas is not being ranked. Rosa is older than Sami. Goran is older than Sami. 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 10.3s · $0.001 · 166 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 4 in the queue. Rosa is directly ahead of Kira. Farah is directly ahead of Nadir. Kira is directly ahead of Farah. 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:
Nadircorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.001 · 346 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Quinn is heavier than Jonas. Farah is heavier than Hana. Jonas is heavier than Tessa. Farah is heavier than Chen. Tessa is heavier than Farah. Quinn is heavier than Farah. Jonas is heavier than Farah. Nadir is faster than everyone here, but Nadir is not being ranked. Alice is heavier than Quinn. Chen is heavier 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:
Tessacorrectreasoning.deduction.order-v2conf 100% · 605ms · $0.002 · 460 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Kira is taller than Bruno. Chen is taller than Goran. Tessa is taller than Hana. Bruno is taller than Hana. Bruno is taller than Hana. Chen is taller than Tessa. Goran is taller than Kira. Rosa is taller than Chen. Nadir is heavier than everyone here, but Nadir is not being ranked. Bruno is taller than Tessa. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.order-v2conf 100% · 1.1s · $0.002 · 482 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is heavier than Mona. Rosa is heavier than Sami. Farah is heavier than Jonas. Rosa is heavier than Hana. Jonas is heavier than Hana. Quinn is heavier than Sami. Liam is older than everyone here, but Liam is not being ranked. Mona is heavier than Quinn. Quinn is heavier than Farah. Hana is heavier than Sami. 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:
Hanacorrectreasoning.deduction.position-v1conf 100% · 604ms · $0.001 · 284 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 2 in the queue. Alice is directly ahead of Chen. Dara is directly ahead of Ines. 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:
Chencorrectreasoning.deduction.position-v1conf 100% · 395ms · $0.000 · 115 tok
question
Four people stand in a queue (number 1 is the front). Alice is number 1 in the queue. Tessa is directly ahead of Mona. Mona is directly ahead of Liam. 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 115ms · $0.001 · 292 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Sami is older than everyone here, but Sami is not being ranked. Alice is heavier than Tessa. Ola is heavier than Alice. Ines is heavier than Hana. Mona is heavier than Farah. Hana is heavier than Mona. Ines is heavier than Tessa. Alice is heavier than Ines. Alice is heavier than Hana. Farah is heavier than Tessa. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.position-v1conf 100% · 223ms · $0.001 · 171 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Tessa. Hana is number 3 in the queue. Tessa is directly ahead of Hana. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Daracorrectreasoning.deduction.order-v2conf 100% · 1.2s · $0.001 · 211 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Tessa. Quinn is faster than Rosa. Ola is faster than Sami. Tessa is faster than Ola. Bruno is faster than Quinn. Kira is older than everyone here, but Kira is not being ranked. Sami is faster than Bruno. Priya is faster than Quinn. Bruno is faster than Rosa. Ola is faster than Rosa. 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:
Quinncorrectreasoning.deduction.order-v2conf 100% · 101ms · $0.001 · 315 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Tessa. Priya is heavier than Hana. Priya is heavier than Mona. Nadir is heavier than Priya. Goran is faster than everyone here, but Goran is not being ranked. Tessa is heavier than Hana. Farah is heavier than Nadir. Nadir is heavier than Mona. Bruno is heavier than Farah. Mona is heavier than Tessa. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.position-v1conf 100% · 215ms · $0.000 · 118 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Quinn. Quinn is number 3 in the queue. Tessa is directly ahead of Dara. 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:
Tessacorrectreasoning.deduction.position-v1conf 100% · 673ms · $0.001 · 197 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 4 in the queue. Bruno is directly ahead of Ola. Tessa is directly ahead of Bruno. Ola is directly ahead of Liam. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessacorrectreasoning.deduction.order-v2conf 100% · 200ms · $0.002 · 454 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Goran. Bruno is taller than Goran. Kira is taller than Ines. Quinn is faster than everyone here, but Quinn is not being ranked. Goran is taller than Sami. Bruno is taller than Ines. Kira is taller than Nadir. Goran is taller than Farah. Farah is taller than Sami. Nadir is taller than Bruno. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Inescorrectreasoning.deduction.position-v1anchorconf 100% · 1.0s · $0.001 · 212 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 1.6s · $0.002 · 429 tok
model answer:
Monacorrectreasoning.deduction.order-v2anchorconf 100% · 3.0s · $0.001 · 303 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 665ms · $0.001 · 173 tok
model answer:
Farahterminal 30/30 correct
correctterminal.fs.tree-v1conf 100% · 723ms · $0.006 · 1760 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/logs`): ``` /proj/logs/main.cfg /proj/logs/notes.cfg /proj/logs/setup.md /proj/todo.cfg /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv logs/main.cfg build/ mv todo.cfg todo-8.txt cd build mv main.cfg ../../proj/ cp ../../proj/logs/notes.cfg ../../proj/ mv ../../proj/main.cfg ../../proj/main-7.cfg cd ../../proj/logs touch ../../proj/index-2.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/index-2.log
/proj/logs/notes.cfg
/proj/logs/setup.md
/proj/main-7.cfg
/proj/notes.cfg
/proj/todo-8.txt
/proj/util.logcorrectterminal.exit.chain-v1conf 100% · 379ms · $0.003 · 796 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f app.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F grep -q amber notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
H
exit:1correctterminal.pipeline.predict-v1conf 100% · 5.8s · $0.001 · 344 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` hal,sales,44,63 eli,hr,38,45 oli,sales,46,24 lou,legal,105,93 ivy,legal,65,41 fay,eng,104,27 bo,legal,74,20 gus,eng,52,86 pam,hr,28,49 kim,hr,39,93 jon,ops,117,67 dev,sales,116,43 cy,legal,59,71 max,legal,53,30 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
fay,104
gus,52correctterminal.fs.tree-v1conf 100% · 593ms · $0.004 · 1163 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`): ``` /proj/build/main.txt /proj/build/notes.log /proj/docs/index.cfg /proj/setup.log /proj/todo.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm build/notes.log cd assets touch ../../proj/build/notes-4.txt cd ../../proj mkdir -p build/conf-4 cd build/conf-4 touch ../../../proj/docs/todo-3.cfg mkdir -p ../../../proj/build/logs-1 mv ../../../proj/docs/index.cfg ../../../proj/docs/draft-4.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/main.txt
/proj/build/notes-4.txt
/proj/docs/draft-4.log
/proj/docs/todo-3.cfg
/proj/setup.log
/proj/todo.mdcorrectterminal.exit.chain-v1conf 100% · 1.2s · $0.001 · 349 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 ghost.txt && echo A || echo B grep -q basil notes.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F false && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
H
Z
exit:0correctterminal.fs.tree-v1conf 100% · 901ms · $0.005 · 1447 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/src`, `/proj/build`): ``` /proj/build/main.cfg /proj/build/todo.md /proj/index.cfg /proj/logs/report.cfg /proj/notes.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p build/logs-8 touch src/draft-1.log cd build/logs-8 cp ../../../proj/logs/report.cfg ../../../proj/ cd . mv ../../../proj/build/todo.md ../../../proj/build/setup-5.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/main.cfg
/proj/build/setup-5.log
/proj/index.cfg
/proj/logs/report.cfg
/proj/notes.cfg
/proj/report.cfg
/proj/src/draft-1.logcorrectterminal.pipeline.predict-v1conf 100% · 337ms · $0.001 · 149 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,ops,59,96
jon,sales,95,78
eli,sales,118,22
ivy,hr,98,89
ned,sales,32,78
hal,hr,95,71
dev,sales,93,29
cy,legal,88,25
pam,legal,66,45
kim,eng,88,16
max,ops,67,52
fay,sales,50,36
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' 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:
193correctterminal.exit.chain-v1conf 100% · 854ms · $0.002 · 404 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B test -f data.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F grep -q basil notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
H
exit:1correctterminal.pipeline.predict-v1conf 100% · 223ms · $0.001 · 241 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,legal,118,17 max,hr,42,65 bo,eng,55,82 hal,sales,35,16 eli,legal,71,56 jon,ops,26,73 oli,ops,116,35 gus,eng,88,31 lou,eng,61,45 dev,sales,54,83 fay,hr,36,21 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' 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:
fay,36
max,42correctterminal.exit.chain-v1conf 100% · 957ms · $0.002 · 632 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F grep -q coral notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
exit:1correctterminal.exit.chain-v1conf 100% · 394ms · $0.002 · 577 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B true && echo C || echo D grep -q coral notes.txt && echo E || echo F false && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
H
exit:1correctterminal.fs.tree-v1conf 100% · 245ms · $0.003 · 866 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/logs`, `/proj/assets`): ``` /proj/assets/notes.cfg /proj/index.md /proj/logs/main.md /proj/setup.md /proj/src/draft.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 cd . rm index.md touch assets/util-2.txt mkdir -p src-8 rm assets/util-2.txt mkdir -p src-8/logs-4 cd src-8/logs-4 touch ../../../proj/assets/util-7.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/notes.cfg
/proj/assets/util-7.cfg
/proj/logs/main.md
/proj/setup.md
/proj/src/draft.txtcorrectterminal.pipeline.predict-v1conf 100% · 953ms · $0.001 · 157 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
lou,legal,42,19
ana,hr,28,83
eli,sales,88,37
ivy,legal,19,72
max,eng,101,41
kim,sales,18,30
hal,hr,55,73
ned,ops,14,83
cy,legal,29,15
dev,ops,88,91
fay,hr,83,88
gus,legal,29,32
pam,eng,29,31
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 43 { 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:
3correctterminal.fs.tree-v1conf 100% · 770ms · $0.003 · 806 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/src`): ``` /proj/build/notes.txt /proj/docs/index.md /proj/report.md /proj/src/main.md /proj/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv docs/index.md docs/ mkdir -p src/src-3 cp docs/index.md ./ cd docs touch ../../proj/src/todo-2.txt mkdir -p ../../proj/src/src-3/logs-2 cd ../../proj rm src/todo-2.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/notes.txt
/proj/docs/index.md
/proj/index.md
/proj/report.md
/proj/src/main.md
/proj/util.mdcorrectterminal.exit.chain-v1conf 100% · 590ms · $0.003 · 705 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` 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 grep -q coral notes.txt && echo C || echo D test -f data.txt && echo E || echo F grep -q coral notes.txt && echo G || echo H test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
G
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 254ms · $0.001 · 226 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ana,sales,50,56
gus,eng,25,79
eli,ops,48,87
ned,ops,96,57
kim,ops,37,50
pam,ops,36,88
fay,eng,82,93
cy,legal,74,11
oli,ops,76,94
hal,ops,84,25
lou,eng,45,15
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 45 { 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:
1correctterminal.fs.tree-v1conf 100% · 115ms · $0.004 · 1145 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/assets`, `/proj/conf`): ``` /proj/assets/todo.txt /proj/assets/util.cfg /proj/conf/draft.txt /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 rm assets/util.cfg cd . rm assets/todo.txt touch index-6.cfg cd . rm setup.txt cp conf/draft.txt ./ rm conf/draft.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/draft.txt
/proj/index-6.cfg
/proj/notes.txtcorrectterminal.pipeline.predict-v1conf 100% · 734ms · $0.002 · 392 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
hal,ops,56,81
jon,eng,49,24
pam,hr,101,16
oli,sales,16,60
bo,legal,112,29
fay,sales,13,82
kim,eng,75,28
ana,hr,37,75
ivy,hr,11,61
dev,ops,26,70
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 67 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
1correctterminal.fs.tree-v1conf 100% · 10.0s · $0.003 · 664 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`): ``` /proj/build/main.cfg /proj/index.log /proj/logs/draft.cfg /proj/logs/notes.txt /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch build/setup-4.log rm logs/draft.cfg cd src mkdir -p ../../proj/build/assets-5 rm ../../proj/build/main.cfg mkdir -p ../../proj/assets-4 cd ../../proj/build cp ../../proj/util.txt ../../proj/src/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/setup-4.log
/proj/index.log
/proj/logs/notes.txt
/proj/src/util.txt
/proj/util.txtcorrectterminal.fs.tree-v1conf 100% · 876ms · $0.004 · 1017 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/docs`): ``` /proj/conf/index.txt /proj/conf/report.md /proj/notes.log /proj/src/main.md /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv conf/index.txt conf/util-1.log cd docs touch draft-9.cfg cd . rm ../../proj/notes.log mkdir -p build-2 mv ../../proj/conf/report.md ../../proj/conf/main-6.txt mkdir -p conf-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:
/proj/conf/main-6.txt
/proj/conf/util-1.log
/proj/docs/draft-9.cfg
/proj/src/main.md
/proj/util.logcorrectterminal.exit.chain-v1conf 100% · 1.2s · $0.001 · 348 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B true && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f tmp.txt && echo G || echo H test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
F
H
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 1.7s · $0.001 · 181 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ned,eng,8,14
oli,ops,81,20
lou,eng,100,79
max,sales,17,81
cy,sales,42,42
ivy,ops,90,91
jon,eng,111,46
kim,eng,67,26
gus,sales,47,90
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 44 { 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:
2correctterminal.exit.chain-v1conf 100% · 541ms · $0.002 · 592 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, coral (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B test -f ghost.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F grep -q coral notes.txt && echo G || echo H test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
G
Z
exit:0correctterminal.fs.tree-v1anchorconf 100% · 1.0s · $0.005 · 1236 tok
model answer:
/proj/build/setup-8.md
/proj/build/todo-4.md
/proj/docs/report-8.cfg
/proj/docs/util.log
/proj/main.log
/proj/report.cfg
/proj/src/index.cfgcorrectterminal.pipeline.predict-v1conf 100% · 160ms · $0.001 · 281 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,hr,79,36 pam,eng,109,23 eli,hr,83,91 lou,hr,95,22 ned,hr,40,59 bo,hr,10,54 hal,hr,25,31 kim,ops,37,54 oli,sales,81,59 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
gus,hr,79,36
eli,hr,83,91
lou,hr,95,22correctterminal.fs.tree-v1conf 100% · 769ms · $0.006 · 1731 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`): ``` /proj/build/setup.log /proj/docs/notes.txt /proj/docs/report.md /proj/todo.log /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv build/setup.log build/todo-2.txt cd docs rm report.md touch ../../proj/todo-1.cfg cd ../../proj/assets touch ../../proj/main-6.txt rm ../../proj/util.txt mkdir -p ../../proj/build/docs-8 cd ../../proj/build/docs-8 touch ../../../proj/assets/util-3.md rm ../../../proj/main-6.txt 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/util-3.md
/proj/build/todo-2.txt
/proj/docs/notes.txt
/proj/todo-1.cfg
/proj/todo.logcorrectterminal.exit.chain-v1conf 100% · 215ms · $0.003 · 686 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f app.txt && 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:
A
C
E
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 1.2s · $0.001 · 354 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 881ms · $0.002 · 436 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 1.0s · $0.001 · 146 tok
model answer:
1vision ocr 22/30 correct
correctvision.ocr.table-read-v1conf 100% · 2.1s · $0.001 · 124 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:
86wrongvision.ocr.code-hunt-v1conf 0% · 205ms · $0.005 · 1492 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:
UNAVAILABLEcorrectvision.ocr.table-read-v1conf 100% · 1.7s · $0.001 · 156 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:
28correctvision.ocr.table-read-v1conf 100% · 253ms · $0.001 · 112 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:
59correctvision.ocr.code-hunt-v1conf 100% · 308ms · $0.001 · 46 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:
ATHUK37wrongvision.ocr.table-read-v1conf 0% · 151ms · $0.008 · 2280 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:
[image not visible]wrongvision.ocr.code-hunt-v1conf 0% · 172ms · $0.015 · 4240 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:
(none extracted)wrongvision.ocr.code-hunt-v1conf 100% · 989ms · $0.001 · 167 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:
XMNXYJMYwrongvision.ocr.code-hunt-v1conf 0% · 144ms · $0.006 · 1576 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:
UNKNOWNcorrectvision.ocr.table-read-v1conf 100% · 752ms · $0.001 · 93 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:
60correctvision.ocr.table-read-v1conf 100% · 2.0s · $0.001 · 134 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
56correctvision.ocr.code-hunt-v1conf 100% · 246ms · $0.001 · 158 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:
ANFH3RUwrongvision.ocr.table-read-v1conf 0% · 149ms · $0.014 · 4070 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:
N/Acorrectvision.ocr.code-hunt-v1conf 100% · 1.0s · $0.001 · 69 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:
4JTMANcorrectvision.ocr.table-read-v1conf 100% · 825ms · $0.001 · 83 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:
95correctvision.ocr.table-read-v1conf 100% · 1.4s · $0.001 · 89 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:
87correctvision.ocr.code-hunt-v1conf 100% · 613ms · $0.001 · 102 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:
VRH33Dwrongvision.ocr.table-read-v1conf 0% · 2.1s · $0.013 · 3594 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:
0correctvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.001 · 83 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:
XP9XNFPwrongvision.ocr.code-hunt-v1conf 0% · 152ms · $0.005 · 1452 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:
UNABLE_TO_DETERMINEcorrectvision.ocr.table-read-v1conf 100% · 605ms · $0.001 · 84 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:
39correctvision.ocr.code-hunt-v1conf 100% · 247ms · $0.001 · 71 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:
NEEP79KRcorrectvision.ocr.table-read-v1conf 100% · 2.3s · $0.001 · 138 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:
54correctvision.ocr.table-read-v1conf 100% · 257ms · $0.001 · 66 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:
73correctvision.ocr.code-hunt-v1conf 100% · 1.0s · $0.001 · 49 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:
9UVRYRAcorrectvision.ocr.code-hunt-v1anchorconf 98% · 2.7s · $0.002 · 266 tok
model answer:
YH9E4AWPcorrectvision.ocr.code-hunt-v1conf 100% · 1.1s · $0.001 · 111 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:
MEAXNX9correctvision.ocr.table-read-v1anchorconf 100% · 584ms · $0.001 · 83 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 100% · 797ms · $0.001 · 50 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1anchorconf 100% · 429ms · $0.001 · 109 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit752
- 2026-08-05v0.2.0index_fit752
- 2026-08-05v0.2.0index_fit753
- 2026-08-05v0.2.0index_fit753
- 2026-08-05v0.2.0index_fit754
- 2026-08-05v0.2.0index_fit756
- 2026-08-05v0.2.0index_fit757
- 2026-08-05v0.2.0index_fit758
- 2026-08-05v0.2.0index_fit759
- 2026-08-05v0.2.0index_fit760
- 2026-08-05v0.2.0index_fit761
- 2026-08-05v0.2.0index_fit759
- 2026-08-05v0.2.0index_fit758
- 2026-08-05v0.2.0index_fit758
- 2026-08-05v0.2.0index_fit759
- 2026-08-05v0.2.0index_fit760
- 2026-08-05v0.2.0index_fit760
- 2026-08-05v0.2.0index_fit760
- 2026-08-05v0.2.0index_fit759
- 2026-08-05v0.2.0index_fit757