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Inception: Mercury 2
inception/mercury-2 · inception · context 128 000 · in $0.250/1M · out $0.750/1M
Global Index
772
95% CI [722–821] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 665 [557–773] | 0.707 | 0.80 | 0.87 | 0.154 | 126ms | $1.57 | |
| code | 875 [754–996] | 0.792 | 1.00 | 1.00 | 0.000 | 121ms | $0.580 | |
| instruction following | 843 [713–973] | 0.780 | 0.83 | 1.00 | 0.000 | 125ms | $0.462 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 125ms | $0.216 | |
| math | 781 [624–937] | 0.683 | 1.00 | 0.99 | 0.038 | 124ms | $0.419 | |
| multilingual | 794 [632–955] | 0.662 | 1.00 | 0.97 | 0.000 | 126ms | $0.264 | |
| reasoning | 796 [650–941] | 0.712 | 1.00 | 0.97 | 0.038 | 127ms | $0.496 | |
| terminal | 694 [587–802] | 0.709 | 0.98 | 0.87 | 0.154 | 126ms | $0.712 |
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 26/30 correct
correctagentic.tools.context-load-v1conf 100% · 167ms · $0.005 · 5705 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):
```
2030|dorian|north|valve|23|pending
1199|ionic|south|rotor|47|paid
1670|dorian|west|gasket|79|shipped
1174|birch|west|pump|48|pending
2144|ember|south|gasket|40|shipped
1827|birch|north|pump|11|pending
1584|cobalt|east|gasket|52|shipped
1206|ionic|south|rotor|10|shipped
1296|ionic|south|panel|28|shipped
2139|harbor|south|rotor|14|shipped
1471|ember|east|frame|28|paid
1849|ember|west|frame|27|held
2048|cobalt|west|frame|82|pending
2252|harbor|south|pump|28|held
1988|birch|west|gasket|71|pending
2134|dorian|east|sensor|72|held
1531|cobalt|east|pump|62|paid
2264|birch|west|sensor|69|paid
1488|ionic|west|pump|18|paid
1139|birch|east|gasket|36|pending
1337|gale|east|cable|56|pending
1902|birch|north|valve|67|pending
1981|gale|west|gasket|66|held
1310|dorian|east|pump|29|shipped
2162|harbor|west|sensor|56|pending
1243|ember|east|sensor|77|shipped
1969|harbor|east|gasket|85|pending
2046|juno|east|sensor|76|paid
1464|fulton|east|sensor|97|pending
1522|dorian|south|frame|13|shipped
2202|fulton|south|sensor|82|held
2174|gale|south|frame|31|paid
2261|juno|east|cable|22|held
1956|acme|north|cable|59|paid
1791|acme|north|rotor|93|pending
2037|fulton|east|gasket|27|held
1483|ember|east|gasket|43|held
1377|gale|east|sensor|20|held
2152|dorian|west|panel|87|shipped
1582|ionic|west|panel|47|held
1697|fulton|west|valve|96|shipped
2020|birch|west|sensor|22|paid
1316|juno|west|valve|30|held
1595|gale|north|rotor|47|pending
1770|acme|west|sensor|42|pending
1133|birch|west|panel|20|pending
1509|ember|west|cable|52|held
1283|fulton|east|pump|55|paid
1276|harbor|east|frame|55|pending
1980|ember|south|cable|43|shipped
2299|juno|west|pump|42|shipped
1616|gale|north|valve|50|shipped
1429|fulton|south|rotor|53|held
1333|juno|north|frame|55|pending
1552|ionic|north|panel|36|held
1609|cobalt|north|gasket|10|shipped
2274|ember|north|panel|84|held
2257|harbor|west|valve|70|pending
1870|harbor|south|pump|76|pending
2005|juno|north|sensor|16|paid
2243|fulton|south|pump|60|pending
1211|cobalt|south|rotor|22|paid
2055|acme|west|rotor|45|pending
1847|ionic|north|panel|30|held
2192|ember|south|frame|94|pending
2172|acme|west|cable|52|pending
2071|harbor|north|panel|30|paid
2087|gale|west|panel|75|held
2122|fulton|west|rotor|98|held
1189|birch|west|gasket|66|pending
1323|gale|east|sensor|86|held
1387|ionic|north|pump|27|pending
2015|fulton|north|frame|60|paid
2027|birch|west|sensor|73|paid
1762|juno|west|gasket|16|paid
1570|ionic|west|pump|81|shipped
1500|cobalt|south|gasket|75|held
1923|ionic|west|sensor|85|held
1535|juno|north|valve|93|pending
1899|ionic|north|rotor|41|paid
1843|harbor|south|pump|34|held
1311|harbor|south|pump|91|pending
1462|juno|west|pump|50|held
1344|harbor|east|cable|20|shipped
1361|ember|west|gasket|48|paid
2219|harbor|east|frame|96|held
2115|cobalt|east|panel|69|shipped
1903|cobalt|east|rotor|97|shipped
1325|juno|south|cable|39|pending
2068|dorian|south|cable|95|pending
1409|cobalt|north|gasket|48|pending
1341|fulton|north|frame|78|paid
1182|birch|west|valve|12|paid
2061|birch|north|sensor|21|held
1304|juno|south|valve|31|paid
2315|ionic|east|pump|80|shipped
1673|dorian|west|pump|69|paid
1659|harbor|north|valve|34|shipped
1823|gale|east|frame|13|paid
1895|ember|east|sensor|48|pending
2265|juno|south|frame|75|pending
1348|ionic|west|sensor|94|shipped
2319|ionic|north|cable|57|pending
1207|harbor|south|sensor|64|paid
1261|fulton|east|panel|17|shipped
1723|dorian|east|cable|26|pending
1152|birch|south|gasket|20|pending
1798|ember|south|cable|81|held
1563|acme|south|pump|87|pending
1229|ionic|east|rotor|92|pending
1384|harbor|east|panel|55|held
1412|acme|south|frame|12|shipped
1441|fulton|north|valve|33|held
1460|ionic|west|frame|32|pending
1693|fulton|east|valve|35|shipped
1218|cobalt|east|pump|57|paid
1280|fulton|west|frame|96|pending
1749|birch|south|sensor|43|paid
1771|ember|west|sensor|30|held
1599|cobalt|north|panel|60|held
1577|ionic|north|cable|27|pending
2240|acme|north|valve|41|paid
2043|cobalt|north|pump|31|shipped
2040|acme|north|gasket|68|paid
1327|fulton|south|sensor|49|pending
1754|birch|south|rotor|77|pending
1451|birch|east|gasket|80|held
1907|ember|west|frame|22|shipped
1961|juno|west|rotor|48|shipped
2291|fulton|south|cable|33|shipped
1777|acme|south|frame|26|held
1683|juno|north|sensor|95|paid
1270|acme|north|valve|99|pending
2313|juno|east|cable|74|held
1200|cobalt|east|frame|82|pending
1604|juno|south|sensor|51|pending
1695|ember|west|cable|88|paid
1929|cobalt|north|panel|31|held
1935|ionic|north|panel|39|pending
2200|harbor|south|cable|71|shipped
2123|juno|east|pump|55|pending
1447|cobalt|east|rotor|57|pending
1302|juno|east|panel|11|held
1973|gale|east|panel|56|held
1703|harbor|west|sensor|56|shipped
2272|fulton|north|pump|51|held
1193|birch|east|gasket|29|pending
1478|ember|west|sensor|62|paid
1144|birch|west|gasket|81|shipped
1494|ember|south|sensor|34|pending
1676|cobalt|north|rotor|51|held
1198|birch|west|rotor|68|paid
1751|harbor|south|rotor|35|shipped
2147|ember|north|valve|67|paid
1787|gale|north|panel|74|shipped
1724|ember|east|valve|96|shipped
1324|acme|south|valve|59|held
1160|birch|west|panel|80|pending
2095|juno|east|sensor|35|pending
2266|gale|south|panel|63|pending
2230|cobalt|east|pump|10|shipped
2281|cobalt|north|sensor|31|paid
1422|acme|north|valve|39|pending
1814|harbor|west|cable|95|shipped
1508|birch|east|sensor|19|shipped
2003|cobalt|east|gasket|13|shipped
1505|gale|west|valve|13|paid
1173|birch|west|frame|84|shipped
1403|ionic|south|rotor|41|held
2084|juno|south|panel|35|shipped
1246|ionic|west|frame|51|paid
1811|dorian|north|sensor|75|held
2239|harbor|east|panel|96|shipped
2235|juno|west|frame|43|shipped
1781|acme|west|gasket|19|pending
1545|gale|west|frame|25|paid
1293|fulton|west|pump|82|pending
1804|acme|south|pump|83|pending
1920|fulton|west|valve|53|held
2124|ionic|north|frame|99|paid
1624|ember|south|frame|24|paid
1829|ember|south|valve|19|shipped
1590|ember|north|frame|75|shipped
2223|birch|south|rotor|29|pending
1254|cobalt|north|cable|60|held
2188|ember|east|frame|65|pending
2194|fulton|south|cable|16|shipped
2017|gale|west|gasket|44|paid
2156|birch|south|valve|91|pending
2307|gale|north|valve|76|held
2101|gale|south|frame|58|held
1803|fulton|south|valve|51|pending
1368|juno|west|sensor|86|paid
1355|fulton|south|valve|72|shipped
1235|juno|west|panel|44|shipped
1984|dorian|north|cable|15|held
1759|acme|south|gasket|35|shipped
1250|dorian|south|gasket|22|held
2292|cobalt|east|sensor|42|held
2073|ionic|west|valve|66|pending
2285|dorian|west|rotor|18|paid
1891|harbor|south|cable|90|shipped
1717|cobalt|south|gasket|89|paid
1424|juno|north|panel|47|shipped
1997|dorian|north|frame|49|pending
1652|birch|north|cable|70|pending
1996|harbor|north|panel|33|pending
1940|gale|south|pump|96|paid
1990|gale|south|sensor|73|paid
2305|harbor|south|rotor|55|held
1212|juno|west|panel|12|pending
1637|dorian|south|gasket|75|pending
1289|ionic|south|valve|60|shipped
1674|juno|south|sensor|96|held
2009|ember|west|frame|27|paid
1838|fulton|south|cable|94|pending
1737|juno|east|rotor|95|shipped
1153|birch|west|frame|14|held
1712|fulton|west|cable|68|pending
2075|dorian|north|gasket|38|held
1742|harbor|south|pump|37|pending
1529|gale|east|pump|97|pending
1950|gale|south|sensor|19|shipped
1397|cobalt|east|cable|29|pending
1364|fulton|west|gasket|58|shipped
1438|dorian|west|gasket|49|held
1875|acme|west|panel|42|shipped
1883|gale|south|sensor|94|paid
1688|cobalt|west|valve|47|shipped
2131|ember|west|valve|93|paid
1946|dorian|south|gasket|88|paid
1329|dorian|north|sensor|72|pending
1721|acme|south|gasket|54|held
2080|juno|north|rotor|97|paid
1539|juno|west|panel|39|paid
2106|gale|south|sensor|30|pending
1581|harbor|south|frame|33|held
2254|ember|east|valve|83|paid
1363|birch|north|pump|86|paid
1710|gale|north|cable|32|shipped
2248|ionic|south|frame|28|paid
2217|birch|north|sensor|31|shipped
1863|gale|east|gasket|19|held
1763|juno|north|rotor|72|pending
1405|gale|north|sensor|27|paid
2221|acme|south|frame|68|held
1515|ember|north|gasket|44|held
1914|cobalt|west|gasket|30|paid
1810|harbor|south|panel|25|pending
1641|ionic|north|rotor|69|held
1503|harbor|west|sensor|64|held
2181|fulton|west|cable|71|paid
2016|juno|east|gasket|82|paid
1882|juno|west|rotor|62|paid
1766|fulton|west|sensor|32|held
2186|ember|south|frame|53|held
1225|juno|west|gasket|84|shipped
1240|acme|east|sensor|12|held
1543|harbor|south|frame|96|shipped
1558|ionic|east|pump|86|pending
1418|birch|west|panel|13|shipped
1867|dorian|south|sensor|32|paid
2204|cobalt|north|pump|59|held
1496|ember|west|gasket|87|pending
2031|ember|north|valve|19|shipped
1391|gale|east|gasket|61|pending
1819|ionic|south|sensor|89|paid
1431|birch|north|rotor|69|held
1665|gale|south|rotor|47|paid
1631|dorian|north|valve|84|shipped
1835|ember|east|sensor|55|pending
2165|birch|west|frame|82|shipped
1150|birch|west|rotor|62|pending
1618|acme|east|cable|21|paid
1372|dorian|east|gasket|14|held
2091|gale|east|valve|52|pending
1445|fulton|north|frame|57|pending
2232|ionic|north|sensor|27|pending
1459|gale|south|pump|88|held
1846|birch|east|valve|10|paid
1884|harbor|east|rotor|84|held
1968|juno|north|panel|77|pending
1856|acme|north|sensor|26|held
1978|cobalt|west|panel|89|shipped
1178|birch|east|gasket|81|pending
1167|birch|north|cable|32|pending
1452|fulton|west|gasket|21|pending
1938|harbor|north|cable|80|shipped
1731|ionic|north|gasket|27|paid
2209|ember|south|valve|54|paid
1266|dorian|west|sensor|61|pending
2111|acme|west|gasket|90|shipped
1647|cobalt|south|gasket|76|shipped
2214|acme|south|frame|24|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1133}},
{"tool":"cancel_order","args":{"order_id":1150}},
{"tool":"restock","args":{"item":"panel","qty":80}},
{"tool":"cancel_order","args":{"order_id":1174}},
{"tool":"restock","args":{"item":"gasket","qty":66}},
{"tool":"restock","args":{"item":"gasket","qty":71}}
]correctagentic.tools.ledger-v1conf 100% · 118ms · $0.001 · 719 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $329
- alpha: $679
- kilo: $512
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $571 from "oscar" to "kilo"
2. pay $93 from "oscar" to "kilo"
3. pay $377 from "alpha" to "kilo"
4. pay $408 from "kilo" to "oscar"
5. pay $257 from "alpha" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 242}},
{"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 571}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 93}},
{"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 93}},
{"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 377}},
{"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 408}},
{"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 257}}
]correctagentic.tools.triage-v1conf 100% · 121ms · $0.001 · 713 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- auth → silva
- data → okafor
INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "cannot reset password" (category: auth, priority 4)
3. "cannot reset password" (category: auth, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":7}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"rivera"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":4}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":4}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-2"}}
]correctagentic.tools.deploy-v1conf 100% · 120ms · $0.001 · 511 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: billing, notifier
- billing: (none)
- auth-svc: billing, notifier
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "health_check", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.context-load-v1conf 100% · 121ms · $0.002 · 1921 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 (167 records, format: id|customer|region|item|qty|status):
```
1980|ember|east|sensor|51|held
1761|gale|west|sensor|97|held
2091|juno|south|cable|19|pending
1942|gale|west|rotor|56|pending
1766|birch|south|gasket|38|held
2010|gale|east|gasket|76|paid
1700|gale|south|sensor|53|shipped
1721|acme|north|sensor|74|pending
2168|ionic|west|gasket|76|shipped
1911|cobalt|north|cable|86|shipped
1623|fulton|east|cable|53|paid
1800|ionic|east|valve|30|pending
1550|juno|south|pump|69|held
1883|fulton|east|pump|79|held
1648|dorian|west|frame|40|held
1577|juno|east|panel|40|paid
2108|gale|south|cable|91|pending
1952|fulton|east|panel|74|pending
1962|acme|south|gasket|82|shipped
1865|juno|east|frame|57|paid
1620|juno|west|pump|48|paid
1528|cobalt|west|panel|39|pending
1811|dorian|south|panel|98|held
1678|ember|west|cable|61|paid
2014|harbor|east|rotor|13|shipped
1966|acme|south|gasket|10|pending
2085|harbor|north|gasket|34|shipped
1856|birch|north|valve|55|paid
2169|dorian|north|valve|59|paid
1844|harbor|east|panel|56|held
1555|ember|south|panel|21|shipped
1935|harbor|east|sensor|86|shipped
2162|dorian|north|panel|63|held
1507|cobalt|west|cable|49|pending
2115|harbor|east|frame|45|shipped
1849|ionic|east|sensor|24|held
1508|cobalt|south|gasket|61|pending
1560|ember|north|valve|46|pending
2152|ionic|south|panel|23|held
2059|ember|east|rotor|80|held
1634|ionic|north|panel|35|shipped
2159|ember|north|sensor|48|paid
2044|fulton|north|valve|34|shipped
1628|cobalt|west|gasket|14|pending
1738|ember|north|panel|24|pending
1665|birch|north|frame|27|shipped
1773|gale|west|panel|43|paid
1500|cobalt|west|rotor|39|shipped
1532|cobalt|west|sensor|56|held
2079|gale|east|cable|60|pending
1708|ionic|north|frame|25|pending
1511|cobalt|west|pump|18|paid
1543|juno|west|cable|93|pending
1826|ionic|south|valve|49|pending
1974|cobalt|north|sensor|94|shipped
1751|fulton|west|rotor|79|paid
1904|acme|south|pump|43|pending
1521|cobalt|west|frame|50|held
2036|acme|east|cable|32|pending
1615|ember|south|gasket|32|shipped
1591|gale|south|cable|93|paid
2040|gale|north|cable|93|paid
1778|birch|north|frame|75|pending
1992|gale|west|frame|75|held
1796|cobalt|south|cable|66|shipped
1563|ember|east|pump|46|held
1530|cobalt|east|cable|64|pending
1692|acme|north|rotor|87|pending
1651|harbor|east|rotor|24|shipped
1536|ionic|east|gasket|60|pending
1948|ember|east|valve|61|held
1584|cobalt|south|frame|99|shipped
1932|ionic|west|rotor|59|paid
2139|gale|east|panel|73|paid
1784|birch|south|valve|84|pending
2054|fulton|north|gasket|67|shipped
1519|cobalt|south|gasket|67|pending
2032|acme|north|cable|52|shipped
1739|harbor|west|valve|21|paid
1672|gale|east|rotor|86|held
1658|juno|east|sensor|48|held
1998|acme|east|frame|35|held
1830|acme|west|pump|45|pending
2137|ionic|east|cable|75|shipped
2081|birch|east|gasket|75|paid
1882|dorian|east|valve|33|paid
2034|harbor|east|rotor|20|paid
2084|cobalt|north|pump|24|paid
2167|juno|north|rotor|86|pending
1790|cobalt|east|cable|71|paid
2179|juno|west|frame|74|shipped
2051|acme|east|pump|52|pending
1926|gale|west|gasket|96|shipped
1547|dorian|east|frame|73|shipped
1753|acme|west|valve|11|shipped
2130|gale|north|rotor|73|shipped
1860|cobalt|south|cable|53|held
1727|ember|south|valve|80|paid
1733|juno|north|panel|31|pending
1837|harbor|east|cable|81|paid
2185|ionic|west|valve|53|pending
1809|dorian|south|cable|64|paid
1871|acme|west|gasket|55|held
1679|juno|north|valve|13|shipped
2065|ember|west|panel|24|paid
1535|ionic|east|rotor|49|shipped
2124|harbor|east|cable|49|held
1803|cobalt|north|rotor|11|held
1786|ionic|west|sensor|65|pending
1780|birch|north|gasket|27|pending
1690|acme|north|sensor|87|pending
1549|fulton|north|rotor|33|held
2160|gale|west|sensor|23|paid
1684|acme|south|cable|38|shipped
1697|ionic|north|frame|25|held
1819|dorian|south|sensor|45|held
1704|acme|south|valve|34|held
1769|cobalt|west|valve|84|paid
1494|cobalt|north|cable|20|pending
1899|cobalt|north|cable|21|paid
1715|cobalt|north|gasket|17|pending
1610|harbor|east|sensor|66|held
1607|fulton|west|cable|33|held
2075|juno|west|frame|62|paid
1701|ember|west|gasket|50|shipped
1888|ember|south|panel|41|shipped
1896|juno|north|valve|14|shipped
1578|birch|west|pump|66|pending
2020|harbor|west|valve|45|paid
1600|cobalt|north|rotor|89|held
1969|gale|east|valve|15|shipped
1921|juno|west|pump|46|held
1791|juno|north|cable|38|shipped
1997|gale|south|gasket|68|paid
1595|gale|north|rotor|77|held
2173|ember|north|valve|36|paid
1970|gale|south|panel|75|held
1959|acme|south|valve|40|shipped
1570|fulton|north|gasket|89|held
2041|harbor|north|gasket|75|shipped
2101|cobalt|south|valve|50|pending
1641|cobalt|south|gasket|71|held
1567|gale|south|pump|14|paid
1818|juno|west|gasket|59|held
1930|juno|east|rotor|77|shipped
2029|dorian|west|valve|21|paid
2146|harbor|east|pump|20|paid
1877|birch|south|gasket|32|pending
2045|fulton|west|rotor|81|pending
2022|cobalt|west|pump|34|held
2070|ionic|east|frame|34|pending
1515|cobalt|west|rotor|63|pending
1745|ember|north|cable|52|shipped
2004|fulton|east|sensor|26|held
2077|dorian|east|sensor|50|shipped
2118|acme|north|rotor|59|pending
1895|dorian|west|cable|40|held
1758|ionic|north|cable|12|pending
2143|ionic|south|valve|67|held
1806|juno|east|valve|77|pending
1493|cobalt|west|sensor|86|pending
1868|birch|east|rotor|54|paid
1915|cobalt|south|panel|94|pending
1663|ionic|east|rotor|13|shipped
1987|dorian|west|rotor|31|paid
1767|ionic|west|rotor|10|held
2094|dorian|east|frame|44|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, 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":"sensor","qty":86}},
{"tool":"cancel_order","args":{"order_id":1507}},
{"tool":"cancel_order","args":{"order_id":1515}},
{"tool":"cancel_order","args":{"order_id":1528}},
{"tool":"cancel_order","args":{"order_id":1628}}
]correctagentic.tools.ledger-v1conf 100% · 123ms · $0.001 · 556 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $533
- lima: $528
- oscar: $584
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $426 from "lima" to "oscar"
2. pay $108 from "oscar" to "lima"
3. pay $298 from "alpha" to "oscar"
4. pay $104 from "lima" to "oscar"
5. pay $536 from "oscar" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"lima","to":"oscar","amount":426}},
{"tool":"transfer","args":{"from":"oscar","to":"lima","amount":108}},
{"tool":"transfer","args":{"from":"alpha","to":"oscar","amount":298}},
{"tool":"transfer","args":{"from":"lima","to":"oscar","amount":104}},
{"tool":"transfer","args":{"from":"oscar","to":"lima","amount":536}}
]wrongagentic.tools.triage-v1conf 100% · 123ms · $0.001 · 944 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → silva
- data → okafor
- auth → rivera
INCIDENTS:
1. "refund double-charged" (category: payments, priority 8)
2. "export file corrupted" (category: data, priority 2)
3. "cannot reset password" (category: auth, priority 3)
4. "cannot reset password" (category: auth, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":8}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"export file corrupted","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":3}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"riversa"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":3}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-3"}}
]correctagentic.tools.deploy-v1conf 100% · 180ms · $0.000 · 463 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: gateway
- gateway: (none)
- reports: auth-svc
- billing: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"health_check","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"reports"}}
]correctagentic.tools.context-load-v1conf 100% · 130ms · $0.004 · 4213 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (214 records, format: id|customer|region|item|qty|status):
```
1508|harbor|south|pump|37|shipped
1438|ember|north|panel|53|pending
1975|fulton|north|cable|62|pending
1638|fulton|south|cable|46|pending
1432|juno|west|rotor|60|shipped
1363|harbor|north|valve|46|shipped
1380|fulton|north|pump|45|pending
1958|birch|west|valve|60|shipped
1298|ionic|south|sensor|79|shipped
1345|dorian|south|frame|64|paid
1592|ember|east|gasket|93|held
1353|cobalt|north|gasket|24|held
1183|birch|north|gasket|13|held
1970|gale|north|pump|41|shipped
1845|gale|north|panel|93|held
1535|gale|north|cable|93|held
1217|ember|north|valve|54|pending
1635|cobalt|west|sensor|18|held
1374|cobalt|east|panel|57|held
1951|juno|east|panel|34|paid
1824|birch|west|rotor|24|pending
1775|cobalt|north|rotor|37|held
1651|gale|north|panel|78|paid
1560|juno|east|gasket|69|held
1736|acme|west|gasket|83|shipped
1261|gale|south|rotor|11|shipped
1645|fulton|west|frame|95|held
1384|juno|south|panel|94|held
2009|cobalt|north|panel|56|pending
1948|cobalt|west|panel|22|pending
1691|fulton|north|panel|27|paid
1653|cobalt|east|cable|97|paid
2026|harbor|east|valve|81|pending
1931|cobalt|west|frame|16|held
1910|ember|west|rotor|71|held
1259|ionic|east|rotor|51|pending
1410|fulton|west|frame|23|pending
1672|acme|south|rotor|83|pending
1193|birch|east|panel|90|pending
1815|cobalt|north|valve|11|shipped
1902|fulton|south|sensor|23|paid
1167|birch|north|valve|29|paid
1450|ember|north|valve|20|shipped
1332|gale|north|cable|94|pending
1991|cobalt|north|gasket|40|held
1732|dorian|south|sensor|80|paid
1424|ionic|east|valve|70|shipped
1664|dorian|east|panel|50|held
1425|fulton|east|rotor|82|pending
1680|fulton|east|pump|77|held
1473|dorian|east|cable|97|shipped
1419|gale|north|rotor|35|held
1988|cobalt|west|sensor|12|held
1208|juno|north|cable|10|held
1698|juno|east|panel|71|pending
1886|fulton|east|frame|86|shipped
1177|birch|east|panel|81|pending
1729|cobalt|north|pump|85|held
1574|acme|north|pump|61|pending
1674|cobalt|east|cable|68|shipped
1229|dorian|north|frame|40|pending
1614|harbor|west|rotor|82|pending
1685|dorian|north|panel|97|shipped
1748|cobalt|north|valve|21|held
1339|gale|south|valve|61|paid
1600|gale|west|valve|34|pending
1659|harbor|south|pump|36|pending
1548|gale|south|sensor|27|shipped
1377|dorian|west|gasket|45|held
1357|acme|north|sensor|94|held
1199|birch|north|rotor|72|paid
1326|gale|north|gasket|78|held
1461|acme|north|valve|41|held
1623|gale|north|cable|71|shipped
1306|fulton|south|rotor|69|held
1379|dorian|north|valve|62|pending
1482|dorian|west|panel|41|held
1782|dorian|north|valve|77|paid
1839|cobalt|east|valve|71|pending
1935|acme|west|valve|88|pending
1756|ember|north|frame|86|shipped
1585|harbor|east|sensor|22|shipped
1796|dorian|south|cable|92|held
1925|ionic|east|pump|51|held
1545|acme|west|pump|92|paid
1593|ionic|south|cable|55|pending
1888|gale|east|gasket|18|held
1759|juno|east|panel|49|shipped
1942|ember|north|gasket|22|shipped
1945|dorian|south|frame|51|pending
1754|dorian|south|panel|48|shipped
1964|dorian|west|gasket|10|pending
2033|dorian|north|pump|92|paid
1202|birch|east|sensor|92|pending
1492|birch|east|gasket|67|shipped
1867|dorian|west|pump|99|held
1156|birch|north|pump|52|pending
1915|juno|south|pump|26|paid
2031|dorian|east|rotor|81|shipped
1480|ember|north|gasket|83|paid
2018|ionic|south|pump|38|shipped
1286|dorian|south|sensor|17|held
1293|ember|east|panel|15|paid
1499|ember|north|frame|31|shipped
1522|cobalt|south|cable|16|pending
1808|acme|south|panel|58|pending
1849|dorian|north|cable|59|shipped
1875|gale|north|frame|82|held
1898|juno|east|frame|62|shipped
1831|gale|east|panel|30|shipped
1579|birch|east|cable|75|paid
1313|ionic|north|sensor|43|held
1441|fulton|east|valve|53|held
1962|juno|south|valve|90|pending
1287|ember|north|panel|48|shipped
1338|juno|south|panel|28|paid
1484|cobalt|west|rotor|37|paid
1201|birch|north|cable|72|pending
1862|ionic|east|gasket|94|pending
1711|ember|north|gasket|19|shipped
1733|fulton|east|valve|31|held
1669|cobalt|north|cable|67|shipped
1540|harbor|south|cable|39|shipped
1390|gale|south|cable|34|shipped
1949|acme|north|pump|59|held
1403|ionic|west|panel|82|paid
2012|cobalt|east|frame|20|held
1272|harbor|south|pump|59|held
1543|ionic|south|rotor|44|pending
1583|birch|east|frame|72|held
1396|birch|south|pump|27|shipped
1887|ember|west|gasket|75|pending
1223|juno|south|rotor|84|shipped
1725|ember|south|cable|57|shipped
1515|cobalt|north|frame|40|paid
1855|juno|north|pump|26|paid
1224|gale|north|valve|54|paid
1689|birch|south|cable|58|held
1922|ember|east|panel|49|shipped
1311|dorian|north|rotor|82|paid
1904|birch|east|gasket|79|paid
1317|harbor|west|sensor|73|pending
1205|birch|north|cable|46|held
1961|ionic|east|panel|64|paid
1173|birch|north|gasket|12|pending
2019|ember|east|panel|69|shipped
1905|dorian|north|cable|35|shipped
1985|acme|east|cable|41|held
1789|gale|south|pump|70|paid
1474|ionic|north|frame|73|pending
1249|dorian|north|rotor|17|pending
1817|ember|west|gasket|32|pending
1445|harbor|north|cable|10|shipped
1607|juno|east|sensor|19|paid
1303|gale|east|pump|83|shipped
1947|dorian|east|cable|63|paid
1466|harbor|west|frame|18|paid
1277|fulton|north|cable|94|held
1494|harbor|west|gasket|27|pending
1829|acme|south|gasket|26|held
1938|dorian|east|panel|99|shipped
1215|ionic|west|rotor|61|pending
1802|harbor|east|rotor|71|held
1835|juno|north|valve|60|paid
1485|cobalt|east|pump|11|held
1502|birch|west|pump|18|paid
1253|cobalt|west|gasket|29|held
1530|cobalt|west|frame|72|paid
1701|ionic|south|pump|44|shipped
1189|birch|north|pump|26|pending
1742|harbor|west|pump|43|pending
1866|cobalt|north|panel|99|held
1894|harbor|west|valve|84|shipped
1626|ember|west|sensor|66|shipped
2002|dorian|north|frame|24|pending
1266|ember|west|cable|92|paid
2035|ember|north|pump|74|pending
2007|ember|east|sensor|14|paid
1292|birch|south|rotor|69|shipped
1402|harbor|north|rotor|68|paid
1262|harbor|east|gasket|40|held
1580|birch|south|sensor|72|shipped
1456|juno|west|valve|74|paid
1881|ember|east|rotor|44|pending
1996|juno|west|valve|88|shipped
1735|birch|west|frame|88|paid
1573|ionic|north|gasket|59|held
1235|fulton|south|pump|20|paid
1243|fulton|east|sensor|26|held
1322|ember|south|frame|98|paid
1706|juno|north|panel|97|pending
1417|acme|west|pump|41|held
1850|gale|west|panel|49|shipped
1629|ionic|east|gasket|27|shipped
1370|birch|north|cable|58|shipped
1588|juno|south|gasket|45|pending
1355|fulton|south|pump|69|held
1979|ionic|south|panel|34|pending
1771|dorian|north|panel|22|held
1868|ember|west|panel|16|pending
1349|cobalt|north|rotor|95|held
1978|ember|north|rotor|66|shipped
1553|harbor|west|gasket|64|shipped
1741|birch|north|sensor|76|paid
1791|birch|south|pump|62|pending
1566|gale|west|frame|63|shipped
1527|birch|west|sensor|81|held
1718|gale|east|gasket|43|paid
1765|ionic|west|panel|59|held
1616|gale|east|gasket|23|paid
1280|fulton|west|gasket|92|shipped
1242|harbor|south|sensor|21|held
1161|birch|south|panel|63|pending
1753|harbor|west|sensor|45|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"pump","qty":52}},
{"tool":"cancel_order","args":{"order_id":1173}},
{"tool":"cancel_order","args":{"order_id":1189}},
{"tool":"restock","args":{"item":"cable","qty":72}}
]correctagentic.tools.ledger-v1conf 100% · 125ms · $0.001 · 739 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $445
- delta: $314
- alpha: $441
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $531 from "delta" to "bravo"
2. pay $355 from "bravo" to "delta"
3. pay $317 from "alpha" to "delta"
4. pay $153 from "alpha" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":217}},
{"tool":"transfer","args":{"from":"delta","to":"bravo","amount":531}},
{"tool":"transfer","args":{"from":"bravo","to":"delta","amount":355}},
{"tool":"transfer","args":{"from":"alpha","to":"delta","amount":317}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":29}},
{"tool":"transfer","args":{"from":"alpha","to":"delta","amount":153}}
]correctagentic.tools.triage-v1conf 100% · 656ms · $0.001 · 756 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 → chen
- payments → tanaka
- infra → okafor
INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "cannot reset password" (category: auth, priority 6)
3. "API latency spikes" (category: infra, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":6}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"chen"}},
{"tool":"create_ticket","args":{"title":"cannot reset password","priority":6}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-3"}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"okafor"}}
]wrongagentic.tools.context-load-v1conf 100% · 145ms · $0.005 · 5043 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 (234 records, format: id|customer|region|item|qty|status):
```
2117|harbor|east|cable|65|shipped
2138|dorian|south|sensor|70|shipped
1658|gale|east|cable|96|pending
1319|harbor|west|panel|27|shipped
1193|acme|south|valve|67|pending
1652|harbor|east|pump|83|pending
1201|acme|south|cable|43|paid
1628|cobalt|south|rotor|53|pending
1463|birch|east|cable|89|shipped
1963|birch|east|cable|32|held
1503|acme|north|frame|12|paid
1494|dorian|west|pump|57|pending
1637|acme|west|rotor|20|held
1917|gale|east|sensor|81|held
1814|dorian|north|panel|90|paid
2094|ember|east|panel|83|pending
1843|fulton|east|panel|43|held
1294|juno|south|rotor|83|pending
1867|fulton|east|panel|25|paid
1561|gale|east|gasket|47|pending
1571|fulton|north|panel|23|held
1829|acme|south|gasket|39|pending
1892|dorian|south|gasket|11|shipped
1512|acme|south|sensor|61|shipped
1622|dorian|east|pump|95|held
1519|juno|north|sensor|83|paid
1861|ember|east|cable|67|paid
1472|acme|east|frame|24|shipped
2164|dorian|west|cable|42|pending
1705|cobalt|north|sensor|19|shipped
1899|gale|south|gasket|62|held
1217|acme|south|valve|73|pending
1462|juno|south|panel|43|paid
1298|juno|west|panel|56|paid
1583|ember|north|valve|98|pending
1991|fulton|north|pump|63|pending
2007|gale|north|pump|61|shipped
1408|birch|east|valve|47|paid
1522|cobalt|north|sensor|38|pending
1220|acme|south|rotor|61|paid
1414|harbor|south|gasket|70|held
1778|harbor|west|valve|70|pending
1820|gale|east|sensor|96|paid
1447|dorian|south|cable|97|shipped
2095|ember|north|pump|24|held
1887|juno|north|valve|15|pending
2015|cobalt|west|panel|91|shipped
1933|ember|west|valve|81|shipped
1807|gale|west|pump|71|paid
1938|gale|east|valve|57|pending
1396|juno|east|valve|65|paid
1801|dorian|east|cable|94|held
1830|gale|north|gasket|78|shipped
1771|juno|north|pump|95|pending
2060|gale|north|pump|35|shipped
1602|ember|north|rotor|79|pending
1713|harbor|south|frame|72|paid
1377|birch|north|sensor|29|paid
1716|dorian|west|panel|75|paid
1984|cobalt|south|sensor|52|pending
1854|fulton|west|sensor|66|held
2119|juno|south|panel|91|shipped
1755|gale|south|pump|58|pending
1650|dorian|west|cable|26|paid
2055|acme|east|frame|50|pending
1750|fulton|west|frame|47|paid
2125|acme|north|panel|11|shipped
1389|birch|east|pump|48|paid
1433|cobalt|north|gasket|90|shipped
1501|birch|west|panel|36|pending
1581|fulton|west|frame|68|paid
1372|juno|east|pump|17|shipped
1906|acme|south|panel|13|shipped
1314|ionic|west|cable|30|held
1604|cobalt|north|rotor|60|held
1852|ionic|east|rotor|70|held
1960|cobalt|west|valve|92|held
2065|juno|east|gasket|40|pending
1486|harbor|west|rotor|85|shipped
1656|fulton|west|gasket|17|shipped
2114|juno|west|panel|77|held
2014|cobalt|north|rotor|84|pending
1452|cobalt|east|panel|77|shipped
1948|gale|west|pump|19|pending
1631|birch|east|frame|91|held
1764|harbor|east|valve|20|pending
2034|juno|west|sensor|20|pending
2141|juno|west|gasket|47|held
1422|acme|east|valve|17|paid
1772|ember|west|panel|47|held
1180|acme|south|cable|78|pending
1624|harbor|south|sensor|33|paid
2104|birch|west|rotor|91|pending
1553|harbor|north|frame|90|pending
1870|acme|west|frame|95|paid
1324|fulton|north|panel|46|shipped
1606|gale|west|frame|65|paid
1242|birch|east|cable|89|pending
1793|cobalt|north|panel|48|held
1952|acme|east|valve|25|held
1529|ember|south|rotor|16|held
1283|ember|north|frame|98|paid
1983|harbor|north|gasket|12|pending
1941|birch|north|pump|13|held
1445|acme|west|pump|91|paid
1787|ionic|west|pump|64|pending
2072|acme|south|cable|89|shipped
1187|acme|west|panel|63|pending
1277|cobalt|south|gasket|91|pending
1271|fulton|east|gasket|38|paid
1997|ionic|north|frame|56|shipped
2133|gale|east|sensor|27|shipped
2116|acme|west|valve|49|pending
1224|acme|south|panel|46|pending
1349|juno|north|rotor|31|held
2109|gale|south|cable|80|paid
1599|fulton|south|sensor|15|held
1573|gale|west|panel|49|shipped
1972|birch|north|pump|44|held
2107|juno|south|gasket|82|pending
1260|dorian|north|panel|25|held
1618|ember|east|valve|52|held
1677|acme|west|sensor|87|paid
1272|cobalt|south|panel|94|shipped
1387|juno|east|frame|16|shipped
1831|birch|south|cable|25|shipped
2003|dorian|south|panel|85|held
1194|acme|west|rotor|42|pending
1406|acme|south|sensor|74|shipped
1924|harbor|east|valve|15|shipped
2089|juno|east|rotor|33|pending
2147|birch|west|sensor|55|shipped
1535|gale|west|pump|89|paid
1402|harbor|south|rotor|81|held
1470|acme|south|valve|23|shipped
1598|gale|north|pump|37|pending
1334|gale|west|frame|97|held
1979|juno|north|frame|12|paid
1289|juno|east|sensor|23|pending
1574|ember|south|panel|59|pending
1517|dorian|east|sensor|86|shipped
2079|ionic|north|rotor|30|held
1837|acme|east|valve|45|pending
1688|fulton|west|gasket|76|paid
1215|acme|south|frame|66|shipped
2029|ember|west|gasket|11|held
2013|juno|south|pump|13|pending
1247|ionic|east|frame|57|pending
1509|gale|north|frame|49|pending
1978|ionic|west|rotor|57|shipped
2155|harbor|south|rotor|17|pending
1683|ionic|east|valve|67|pending
1784|juno|south|gasket|73|pending
1546|ionic|north|pump|47|pending
1882|gale|east|sensor|21|shipped
2150|cobalt|east|frame|80|pending
1520|juno|north|valve|25|pending
1479|juno|south|gasket|95|pending
1722|fulton|south|rotor|34|shipped
1317|fulton|north|frame|47|paid
1795|birch|south|cable|68|shipped
2022|ember|south|valve|68|held
1191|acme|south|rotor|47|shipped
1327|cobalt|east|gasket|71|paid
2130|birch|west|frame|32|pending
1819|gale|north|sensor|34|held
1487|harbor|south|panel|12|shipped
1825|cobalt|west|valve|82|pending
1711|cobalt|east|frame|36|pending
1695|harbor|south|gasket|53|held
2069|acme|north|frame|67|paid
1827|juno|east|frame|62|shipped
1701|ember|east|rotor|46|paid
1542|acme|east|rotor|26|pending
1235|acme|south|pump|91|shipped
1383|gale|east|cable|46|pending
1664|juno|south|pump|20|held
1428|juno|south|sensor|77|shipped
1333|cobalt|south|rotor|49|shipped
1875|juno|south|cable|16|held
1967|juno|south|gasket|85|shipped
1584|ionic|west|rotor|91|paid
1367|gale|south|frame|29|shipped
1344|juno|west|frame|84|paid
1541|fulton|east|cable|48|shipped
2084|birch|east|panel|63|held
1613|fulton|east|frame|54|pending
1747|cobalt|south|pump|57|shipped
1361|gale|south|valve|76|pending
2098|juno|north|cable|89|pending
2162|harbor|east|cable|79|paid
1252|ember|north|sensor|79|pending
1337|gale|east|pump|42|shipped
1439|fulton|west|cable|83|held
1207|acme|south|panel|62|pending
1516|dorian|south|frame|88|paid
1307|harbor|north|cable|74|pending
1591|fulton|south|pump|19|held
1229|acme|east|cable|83|pending
1671|dorian|west|rotor|45|shipped
1416|dorian|north|cable|30|pending
1810|ember|north|valve|13|shipped
1302|birch|north|sensor|24|paid
1338|dorian|north|sensor|67|shipped
1558|dorian|west|rotor|21|pending
2136|juno|north|rotor|98|shipped
2041|harbor|west|panel|81|shipped
1850|dorian|north|frame|79|held
1461|harbor|east|cable|35|pending
1954|dorian|north|frame|23|shipped
1354|cobalt|west|panel|28|shipped
1564|fulton|south|cable|94|shipped
1902|acme|west|pump|64|paid
2047|gale|north|gasket|15|paid
2053|cobalt|south|frame|49|shipped
1556|fulton|north|frame|15|held
1455|dorian|north|gasket|45|paid
1219|acme|west|cable|98|pending
1256|fulton|south|gasket|24|paid
1745|ember|south|gasket|92|shipped
1370|ionic|east|sensor|47|pending
1815|dorian|south|frame|48|paid
1643|dorian|west|frame|27|pending
1912|dorian|east|panel|81|pending
1738|fulton|south|frame|89|pending
1689|cobalt|north|valve|15|held
2078|juno|east|rotor|81|pending
1757|acme|west|frame|89|pending
1732|juno|north|panel|77|pending
1729|ember|east|gasket|92|paid
1926|cobalt|west|frame|17|held
1266|ionic|west|pump|51|paid
1943|acme|south|rotor|11|shipped
1211|acme|east|frame|70|pending
```
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 > 61, 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":"cable","qty":78}},
{"tool":"restock","args":{"item":"valve","qty":67}},
{"tool":"restock","args":{"item":"panel","qty":62}},
{"tool":"restock","args":{"item":"valve","qty":73}},
{"tool":"cancel_order","args":{"order_id":1224}}
]correctagentic.tools.deploy-v1conf 100% · 123ms · $0.001 · 469 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: gateway
- auth-svc: gateway
- billing: gateway
- gateway: (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":"gateway"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"health_check","args":{"service":"reports"}}
]correctagentic.tools.ledger-v1conf 100% · 124ms · $0.001 · 506 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $677
- oscar: $222
- kilo: $892
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $352 from "echo" to "kilo"
2. pay $234 from "kilo" to "oscar"
3. pay $128 from "oscar" to "echo"
4. pay $472 from "kilo" to "echo"
5. pay $149 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":"kilo","amount":352}},
{"tool":"transfer","args":{"from":"kilo","to":"oscar","amount":234}},
{"tool":"transfer","args":{"from":"oscar","to":"echo","amount":128}},
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":472}},
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":149}}
]correctagentic.tools.triage-v1conf 100% · 127ms · $0.001 · 677 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → rivera
- auth → okafor
- infra → silva
INCIDENTS:
1. "records missing after import" (category: data, priority 2)
2. "records missing after import" (category: data, priority 2)
3. "webhooks not delivered" (category: infra, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"records missing after import","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"rivera"}},
{"tool":"create_ticket","args":{"title":"records missing after import","priority":2}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"webhooks not delivered","priority":8}},
{"tool":"escalate","args":{"ticket_id":"TCK-3"}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"silva"}}
]correctagentic.tools.deploy-v1conf 100% · 128ms · $0.000 · 451 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
- notifier: gateway
- auth-svc: 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"health_check","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"notifier"}}
]correctagentic.tools.context-load-v1conf 100% · 164ms · $0.008 · 8546 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):
```
1479|gale|west|cable|91|shipped
1625|dorian|south|panel|35|pending
2350|gale|north|panel|24|shipped
2349|gale|south|gasket|51|pending
1629|juno|south|gasket|95|held
1788|gale|east|gasket|91|shipped
2329|gale|west|frame|29|shipped
1668|juno|west|gasket|82|paid
1318|harbor|south|pump|91|paid
1937|harbor|south|rotor|18|shipped
2103|birch|north|rotor|57|pending
1659|dorian|north|valve|23|paid
2387|ionic|west|cable|84|pending
1796|juno|east|rotor|93|paid
2340|fulton|west|sensor|87|shipped
1463|gale|east|panel|60|pending
2230|dorian|south|sensor|35|held
1745|ionic|east|cable|77|pending
1339|birch|east|pump|81|shipped
1894|dorian|north|pump|20|shipped
1928|acme|east|rotor|33|shipped
1678|ember|north|frame|84|held
1370|fulton|north|sensor|71|pending
1683|juno|south|pump|36|shipped
1536|juno|north|gasket|12|held
1718|ember|north|gasket|71|shipped
1299|fulton|north|rotor|17|pending
2414|harbor|south|valve|15|paid
1600|juno|west|rotor|92|held
2005|ember|north|panel|84|pending
1864|juno|north|rotor|93|pending
1751|ember|east|cable|58|pending
1920|gale|south|panel|58|held
1961|acme|west|frame|36|paid
1835|ember|south|sensor|21|shipped
1977|cobalt|north|cable|86|paid
1923|birch|west|cable|13|shipped
1543|fulton|east|pump|22|shipped
1362|birch|north|sensor|94|held
1289|fulton|east|frame|62|pending
1276|fulton|north|rotor|30|pending
2285|acme|south|panel|59|pending
1983|cobalt|west|frame|83|pending
1764|gale|east|gasket|45|pending
2294|acme|south|pump|36|pending
1398|dorian|south|frame|50|held
1758|cobalt|north|panel|36|shipped
1348|dorian|north|pump|17|shipped
2080|gale|south|pump|23|held
2196|cobalt|south|sensor|18|shipped
2136|dorian|north|rotor|51|paid
2375|juno|west|pump|19|paid
1771|ionic|north|pump|71|held
2252|fulton|south|pump|33|pending
2353|cobalt|north|sensor|65|pending
1844|gale|north|panel|79|held
1638|fulton|west|pump|50|held
1271|fulton|north|rotor|37|held
1557|ionic|east|cable|44|paid
1547|cobalt|south|sensor|72|shipped
2261|cobalt|south|pump|96|shipped
1655|harbor|east|frame|25|held
2249|dorian|south|valve|59|paid
1954|fulton|east|cable|55|held
2121|ionic|east|rotor|20|shipped
1834|acme|west|cable|87|paid
2168|harbor|west|pump|87|held
1783|dorian|north|cable|46|held
1949|harbor|west|panel|85|shipped
1812|fulton|south|panel|14|shipped
1511|harbor|north|cable|82|paid
2129|ember|south|frame|86|pending
1778|ionic|west|gasket|22|shipped
2348|dorian|north|frame|27|held
2235|gale|south|sensor|90|paid
2296|ember|west|panel|68|pending
2334|birch|south|sensor|25|paid
1504|juno|north|sensor|31|shipped
2042|cobalt|east|frame|62|paid
1499|gale|south|valve|40|pending
1253|fulton|north|panel|31|pending
2172|ember|east|gasket|49|shipped
1472|fulton|west|valve|25|pending
1437|acme|east|sensor|43|held
1574|gale|south|rotor|83|held
1488|birch|west|panel|76|pending
2282|acme|west|sensor|19|paid
2162|gale|south|frame|53|shipped
1907|fulton|west|cable|76|pending
1874|juno|east|sensor|42|pending
1306|fulton|east|gasket|49|pending
1661|cobalt|east|sensor|98|held
1324|acme|west|frame|36|shipped
1875|cobalt|west|gasket|40|held
1996|ember|east|panel|62|pending
1539|cobalt|north|pump|47|held
2066|acme|north|panel|59|held
1484|dorian|south|rotor|69|held
2372|dorian|east|gasket|46|held
1554|ionic|north|rotor|22|shipped
2155|gale|north|valve|80|shipped
1697|juno|west|cable|34|shipped
1603|harbor|east|frame|94|paid
1506|ember|west|valve|19|paid
2054|ember|west|frame|34|held
2325|ionic|north|gasket|12|held
2076|dorian|east|gasket|47|paid
1406|ember|east|cable|55|pending
1690|juno|south|gasket|49|shipped
2242|birch|east|panel|29|pending
1774|ionic|south|frame|35|paid
1367|cobalt|north|pump|34|shipped
2403|ionic|west|panel|15|held
2248|harbor|south|sensor|39|held
1743|gale|west|panel|29|shipped
1285|fulton|north|panel|92|pending
1848|ember|east|rotor|37|paid
1392|ember|north|cable|98|paid
2106|juno|south|pump|90|shipped
1833|harbor|south|frame|57|held
1986|cobalt|south|panel|88|shipped
2289|harbor|north|frame|79|pending
2371|gale|south|frame|57|pending
2123|acme|north|gasket|16|shipped
2236|ember|west|rotor|23|held
1518|birch|west|frame|67|pending
2095|cobalt|north|valve|85|pending
2111|acme|south|valve|80|paid
1503|ionic|south|cable|89|held
2227|juno|south|sensor|84|held
1775|harbor|south|gasket|71|pending
1594|birch|south|gasket|77|pending
1965|gale|south|gasket|18|pending
1345|dorian|south|sensor|47|paid
2263|ionic|south|sensor|37|held
2149|acme|south|pump|66|shipped
1658|birch|west|sensor|47|held
2016|gale|north|frame|41|paid
1735|dorian|east|cable|61|shipped
1497|harbor|east|cable|84|held
1873|dorian|east|sensor|98|shipped
2007|harbor|west|sensor|54|shipped
1909|birch|west|rotor|33|held
2284|juno|south|pump|65|pending
2191|ember|south|sensor|99|shipped
1448|ionic|south|panel|62|pending
1515|dorian|south|cable|83|paid
2001|harbor|north|rotor|64|held
2275|birch|east|pump|93|shipped
2049|acme|west|frame|64|pending
2259|harbor|west|pump|74|paid
1262|fulton|north|frame|56|held
2089|ember|south|panel|74|held
2019|acme|west|cable|44|pending
1742|acme|south|frame|72|pending
2312|birch|south|sensor|78|held
1571|harbor|north|rotor|64|pending
2017|ember|south|valve|75|paid
1334|ionic|north|frame|34|pending
1418|ember|north|gasket|48|paid
2032|dorian|west|valve|63|shipped
2302|ionic|east|frame|56|held
1585|fulton|south|rotor|67|shipped
1858|fulton|south|panel|73|held
2240|gale|south|panel|52|shipped
1587|fulton|west|valve|24|held
1738|juno|south|sensor|35|shipped
2187|dorian|north|rotor|23|paid
2357|acme|east|valve|42|shipped
1854|ember|west|sensor|10|paid
1708|acme|south|gasket|70|pending
2250|dorian|west|cable|13|shipped
2382|ember|east|cable|89|shipped
1871|juno|south|panel|59|held
2125|dorian|north|gasket|97|held
1802|juno|south|cable|20|shipped
1312|gale|north|gasket|47|held
2117|dorian|west|frame|94|paid
2101|ember|west|frame|74|pending
2039|acme|south|panel|53|held
1321|juno|north|panel|59|pending
1525|harbor|north|frame|37|pending
1925|acme|south|sensor|18|held
1535|birch|west|sensor|48|held
1374|juno|west|sensor|16|pending
1670|harbor|south|panel|35|paid
1712|harbor|east|panel|87|pending
1351|dorian|west|frame|52|paid
2231|harbor|east|frame|75|pending
2313|birch|south|rotor|21|shipped
1677|birch|south|pump|45|shipped
1878|juno|east|valve|75|pending
2220|cobalt|south|valve|15|held
1887|gale|south|cable|73|pending
1492|juno|east|valve|42|shipped
2086|birch|north|sensor|75|held
1648|ember|west|cable|16|pending
1459|cobalt|west|valve|18|pending
2410|ionic|east|panel|30|pending
1832|cobalt|east|panel|73|paid
1805|ionic|south|valve|94|paid
1916|ionic|south|gasket|75|shipped
2225|acme|north|gasket|74|shipped
2061|cobalt|west|gasket|12|pending
1412|fulton|east|valve|48|pending
2025|ionic|north|cable|88|paid
2309|gale|west|rotor|61|held
2024|ember|west|rotor|97|shipped
1901|ember|east|panel|28|paid
2321|acme|west|valve|59|pending
1616|gale|south|panel|89|shipped
2208|ember|east|sensor|56|paid
2166|dorian|north|sensor|96|shipped
2272|harbor|north|cable|82|pending
2031|cobalt|west|gasket|99|pending
2342|dorian|west|cable|63|held
1540|juno|north|frame|74|held
1444|fulton|north|frame|83|pending
1399|gale|south|rotor|62|shipped
2210|cobalt|north|rotor|83|shipped
1531|fulton|south|sensor|40|shipped
2071|harbor|south|valve|38|pending
1914|acme|west|rotor|54|paid
2213|ember|south|rotor|50|shipped
1709|harbor|west|valve|56|paid
2010|cobalt|north|gasket|11|paid
1818|cobalt|north|rotor|50|shipped
1282|fulton|north|valve|89|held
1564|juno|north|gasket|28|shipped
1454|dorian|east|valve|38|held
2183|juno|west|frame|99|held
2178|ionic|north|cable|83|paid
1373|harbor|west|valve|29|paid
2142|cobalt|west|frame|66|shipped
1294|fulton|north|frame|20|paid
2206|fulton|south|valve|14|pending
1433|fulton|west|valve|88|held
1346|ember|east|gasket|38|held
1354|dorian|south|panel|99|paid
2050|ionic|south|panel|73|pending
2193|ionic|south|pump|56|pending
2260|cobalt|west|frame|34|paid
1421|acme|west|cable|95|shipped
1260|fulton|south|cable|64|pending
2180|gale|north|gasket|29|shipped
2351|birch|west|panel|87|paid
1700|fulton|south|panel|26|shipped
2202|ember|south|cable|13|paid
1724|harbor|north|valve|79|paid
2398|ionic|south|pump|55|paid
1576|acme|east|pump|96|pending
1931|harbor|east|valve|95|paid
1620|birch|west|pump|88|paid
1792|ember|south|rotor|64|held
1426|cobalt|west|valve|86|paid
2102|cobalt|east|sensor|97|shipped
1839|acme|west|gasket|90|shipped
1278|fulton|south|panel|62|pending
1815|dorian|north|valve|44|shipped
2229|gale|west|pump|73|shipped
1825|acme|north|panel|76|held
1469|fulton|east|gasket|21|shipped
1727|juno|east|frame|32|held
1728|ember|east|pump|21|pending
1381|fulton|north|gasket|88|pending
1386|acme|south|valve|44|paid
1970|acme|west|cable|20|paid
1588|cobalt|south|rotor|21|paid
1579|ember|south|cable|32|pending
1309|fulton|north|sensor|80|held
1943|fulton|west|cable|11|held
1319|dorian|south|sensor|17|pending
1880|ember|east|gasket|99|shipped
2315|acme|east|frame|90|pending
1266|fulton|north|panel|91|pending
2391|juno|east|gasket|88|paid
1633|acme|south|pump|67|paid
1704|gale|south|valve|51|held
2186|harbor|west|sensor|53|held
1360|juno|south|valve|69|shipped
2198|juno|north|gasket|59|shipped
2268|harbor|north|cable|11|held
1694|gale|north|panel|88|shipped
2264|juno|north|valve|12|paid
1619|fulton|south|panel|58|shipped
1450|dorian|south|rotor|81|held
1609|acme|west|sensor|93|paid
1269|fulton|west|sensor|25|pending
1989|ionic|north|sensor|78|held
1329|dorian|west|panel|87|pending
1644|dorian|west|cable|67|shipped
2214|harbor|west|valve|30|pending
1882|cobalt|east|gasket|74|held
2364|fulton|west|sensor|79|held
1527|dorian|south|sensor|28|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 > 40, 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":1253}},
{"tool":"restock","args":{"item":"panel","qty":91}},
{"tool":"cancel_order","args":{"order_id":1276}},
{"tool":"restock","args":{"item":"panel","qty":92}},
{"tool":"cancel_order","args":{"order_id":1299}},
{"tool":"restock","args":{"item":"sensor","qty":71}},
{"tool":"restock","args":{"item":"gasket","qty":88}},
{"tool":"restock","args":{"item":"frame","qty":83}}
]correctagentic.tools.ledger-v1conf 100% · 126ms · $0.001 · 452 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $232
- delta: $785
- lima: $819
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $187 from "lima" to "echo"
2. pay $368 from "lima" to "delta"
3. pay $284 from "echo" to "delta"
4. pay $419 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"lima","to":"echo","amount":187}},
{"tool":"transfer","args":{"from":"lima","to":"delta","amount":368}},
{"tool":"transfer","args":{"from":"echo","to":"delta","amount":284}},
{"tool":"transfer","args":{"from":"delta","to":"lima","amount":419}}
]wrongagentic.tools.triage-v1conf 100% · 164ms · $0.001 · 1162 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 → haddad
- data → tanaka
- auth → silva
INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "refund double-charged" (category: payments, priority 7)
3. "SSO loop on login" (category: auth, priority 9)
4. "refund double-charged" (category: payments, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":7}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"haddad"}},
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":7}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-3"}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":4}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]correctagentic.tools.deploy-v1conf 100% · 126ms · $0.001 · 541 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: (none)
- gateway: notifier
- billing: gateway
- reports: gateway, notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"notifier"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"health_check","args":{"service":"reports"}}
]correctagentic.tools.context-load-v1conf 100% · 180ms · $0.004 · 3948 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 (174 records, format: id|customer|region|item|qty|status):
```
1882|ionic|south|rotor|49|held
1563|gale|west|rotor|62|pending
1543|ionic|west|pump|74|paid
1575|acme|south|panel|60|held
2097|cobalt|south|cable|59|held
1982|ember|south|rotor|71|shipped
1809|harbor|east|valve|89|paid
1485|ionic|west|sensor|21|pending
2112|harbor|north|panel|84|paid
1977|cobalt|south|cable|38|held
1932|juno|south|sensor|82|paid
2019|birch|west|cable|24|held
1967|ionic|east|valve|25|paid
2093|fulton|west|gasket|39|shipped
1798|birch|south|valve|62|paid
1878|fulton|south|gasket|61|held
1747|juno|south|pump|26|held
2045|gale|west|valve|13|shipped
1783|juno|east|sensor|76|paid
1869|acme|south|frame|14|paid
1702|gale|west|gasket|17|pending
2034|ember|north|gasket|96|pending
1696|fulton|west|valve|26|paid
2040|juno|south|rotor|44|pending
1558|ember|east|gasket|13|held
1891|juno|north|panel|89|shipped
1914|cobalt|south|rotor|14|shipped
1601|ionic|east|panel|78|shipped
1627|acme|west|sensor|44|pending
1758|dorian|east|gasket|10|held
1666|ionic|south|gasket|81|shipped
1683|dorian|east|rotor|67|held
2106|harbor|west|rotor|39|held
2028|ionic|south|rotor|78|paid
1819|fulton|south|panel|64|paid
1765|fulton|east|pump|70|paid
1657|acme|south|gasket|84|shipped
1577|gale|east|valve|44|shipped
1482|ionic|west|pump|74|held
1532|dorian|north|frame|61|held
1806|dorian|south|panel|33|pending
1860|harbor|east|cable|36|paid
1492|ionic|west|panel|11|held
2059|gale|west|panel|18|shipped
1585|ember|east|gasket|72|pending
1839|dorian|north|frame|54|pending
2031|juno|east|cable|39|pending
2063|ember|west|pump|86|held
1507|ionic|west|gasket|73|pending
1971|dorian|north|rotor|23|pending
1881|gale|south|valve|65|held
1521|ionic|west|cable|16|pending
1986|ionic|east|frame|59|pending
1527|ionic|west|panel|54|held
1544|harbor|north|valve|71|paid
1991|acme|east|pump|26|paid
1578|cobalt|west|rotor|64|held
2101|fulton|east|gasket|36|shipped
1512|ionic|east|panel|58|pending
1723|ionic|east|gasket|65|pending
1547|juno|north|cable|14|held
1907|gale|east|panel|50|paid
1898|dorian|north|sensor|91|shipped
1597|harbor|south|rotor|22|shipped
1658|cobalt|south|cable|24|pending
2073|fulton|north|sensor|67|shipped
1504|ionic|west|rotor|54|paid
1497|ionic|west|pump|99|pending
1889|dorian|east|rotor|67|pending
2012|harbor|east|rotor|78|paid
1661|gale|west|frame|33|pending
1471|ionic|west|rotor|69|pending
1583|gale|east|valve|91|paid
2014|ionic|south|cable|90|paid
1813|harbor|west|sensor|62|paid
1587|harbor|east|frame|10|paid
1920|dorian|north|frame|92|paid
1946|ember|east|panel|30|shipped
1517|ionic|west|cable|52|paid
1767|cobalt|west|rotor|15|paid
1871|birch|west|panel|17|held
1740|gale|east|cable|64|shipped
1930|gale|west|gasket|57|pending
1812|birch|east|rotor|94|shipped
1608|juno|east|cable|84|paid
1651|birch|south|frame|49|paid
2086|ionic|south|frame|83|pending
1671|fulton|west|gasket|36|held
2114|fulton|east|pump|85|paid
2035|fulton|east|sensor|52|held
1957|gale|east|sensor|29|pending
1980|juno|north|rotor|25|held
1647|harbor|north|valve|42|held
1773|fulton|south|frame|57|pending
1944|fulton|north|pump|94|paid
1963|harbor|east|gasket|66|held
1844|dorian|east|rotor|73|shipped
1851|gale|west|panel|32|paid
1829|harbor|west|cable|26|shipped
1704|dorian|west|sensor|84|pending
1859|juno|north|sensor|87|held
1874|ionic|south|gasket|21|shipped
1864|cobalt|west|valve|78|held
1951|fulton|east|pump|62|held
1710|birch|south|frame|94|held
1832|harbor|south|rotor|24|shipped
1752|acme|north|sensor|51|shipped
1524|ionic|south|pump|56|pending
1807|ionic|west|frame|50|paid
1776|dorian|east|frame|31|shipped
1590|ember|west|cable|26|shipped
1616|ember|east|cable|12|held
2067|dorian|south|rotor|99|held
2024|fulton|north|gasket|60|held
1785|acme|south|sensor|25|pending
1602|dorian|west|cable|85|shipped
1642|harbor|south|sensor|12|shipped
1569|ember|east|panel|97|held
1678|gale|south|rotor|69|pending
1534|juno|west|pump|65|held
2001|ember|north|gasket|73|held
2052|harbor|south|panel|61|pending
1830|dorian|north|gasket|86|shipped
1488|ionic|north|pump|98|pending
1923|acme|west|sensor|92|shipped
1475|ionic|south|cable|95|pending
1498|ionic|east|sensor|48|pending
1960|cobalt|north|rotor|78|held
1620|acme|north|valve|13|held
1598|dorian|west|panel|12|pending
1836|birch|west|cable|24|pending
2079|ember|east|frame|44|paid
1634|ember|west|valve|42|pending
1572|ember|east|pump|41|pending
1902|birch|south|gasket|19|paid
1588|harbor|south|rotor|81|paid
1553|dorian|north|rotor|28|held
1541|cobalt|east|valve|61|paid
1910|fulton|west|valve|89|held
1937|acme|north|rotor|79|pending
1792|cobalt|north|frame|68|shipped
1695|ionic|south|panel|68|pending
1803|gale|west|valve|62|paid
2104|ember|west|frame|25|pending
2009|ember|south|frame|30|held
1729|dorian|north|cable|91|paid
2072|ember|west|gasket|30|pending
1655|ember|west|panel|38|pending
1691|harbor|north|valve|26|held
1641|birch|east|panel|29|held
1716|dorian|west|cable|54|shipped
1535|birch|east|sensor|22|pending
1852|fulton|east|frame|86|shipped
1705|ionic|east|rotor|42|shipped
1996|gale|east|sensor|50|paid
2032|ember|south|rotor|23|shipped
1573|cobalt|north|gasket|13|pending
1966|ionic|north|frame|38|pending
1734|gale|south|panel|49|held
1788|juno|west|sensor|13|shipped
1610|birch|south|panel|36|paid
1614|dorian|west|panel|22|held
1664|birch|north|rotor|60|held
2105|birch|west|valve|92|held
1808|ionic|east|frame|46|paid
1822|fulton|west|panel|98|paid
1782|harbor|north|cable|74|shipped
2003|ember|north|gasket|80|shipped
1624|cobalt|north|cable|79|paid
1688|cobalt|east|sensor|18|pending
1917|birch|west|valve|36|held
1968|ember|north|sensor|41|shipped
1876|gale|east|pump|42|pending
1673|acme|west|gasket|74|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 67, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"rotor","qty":69}},
{"tool":"cancel_order","args":{"order_id":1485}},
{"tool":"restock","args":{"item":"pump","qty":99}},
{"tool":"restock","args":{"item":"gasket","qty":73}},
{"tool":"cancel_order","args":{"order_id":1521}}
]correctagentic.tools.ledger-v1conf 100% · 112ms · $0.001 · 576 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- alpha: $544
- lima: $449
- tango: $861
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $413 from "alpha" to "tango"
2. pay $490 from "tango" to "alpha"
3. pay $346 from "alpha" to "lima"
4. pay $560 from "alpha" 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":"tango","amount":413}},
{"tool":"transfer","args":{"from":"tango","to":"alpha","amount":490}},
{"tool":"transfer","args":{"from":"alpha","to":"lima","amount":346}},
{"tool":"top_up_from_reserve","args":{"account":"alpha","amount":285}},
{"tool":"transfer","args":{"from":"alpha","to":"tango","amount":560}}
]wrongagentic.tools.triage-v1conf 100% · 120ms · $0.001 · 878 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
- auth → novak
- infra → okafor
INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "locked out after 2FA change" (category: auth, priority 4)
3. "card declined at checkout" (category: payments, priority 3)
4. "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": "card declined at checkout", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.context-load-v1anchorconf 100% · 139ms · $0.004 · 4756 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% · 108ms · $0.001 · 484 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: auth-svc
- auth-svc: gateway
- gateway: (none)
- reports: auth-svc, gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"health_check","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"billing"}},
{"tool":"deploy","args":{"service":"reports"}}
]correctagentic.tools.triage-v1conf 100% · 128ms · $0.001 · 740 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 → rivera
- data → novak
- infra → okafor
INCIDENTS:
1. "cannot reset password" (category: auth, priority 2)
2. "cannot reset password" (category: auth, priority 2)
3. "webhooks not delivered" (category: infra, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}
]correctagentic.tools.ledger-v1conf 100% · 113ms · $0.001 · 727 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $366
- kilo: $151
- delta: $591
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $198 from "kilo" to "delta"
2. pay $255 from "oscar" to "kilo"
3. pay $437 from "delta" to "kilo"
4. pay $414 from "delta" to "oscar"
5. pay $161 from "kilo" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":47}},
{"tool":"transfer","args":{"from":"kilo","to":"delta","amount":198}},
{"tool":"transfer","args":{"from":"oscar","to":"kilo","amount":255}},
{"tool":"transfer","args":{"from":"delta","to":"kilo","amount":437}},
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":62}},
{"tool":"transfer","args":{"from":"delta","to":"oscar","amount":414}},
{"tool":"transfer","args":{"from":"kilo","to":"delta","amount":161}}
]correctagentic.tools.deploy-v1anchorconf 100% · 105ms · $0.000 · 448 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% · 139ms · $0.001 · 649 tok
model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":134}},
{"tool":"transfer","args":{"from":"delta","to":"bravo","amount":451}},
{"tool":"transfer","args":{"from":"bravo","to":"delta","amount":292}},
{"tool":"transfer","args":{"from":"delta","to":"tango","amount":97}},
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":345}},
{"tool":"transfer","args":{"from":"delta","to":"bravo","amount":540}},
{"tool":"transfer","args":{"from":"tango","to":"bravo","amount":125}}
]correctagentic.tools.triage-v1anchorconf 100% · 132ms · $0.001 · 880 tok
model answer:
[
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-1"}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"tanaka"}},
{"tool":"create_ticket","args":{"title":"records missing after import","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"novak"}},
{"tool":"create_ticket","args":{"title":"refund double-charged","priority":2}},
{"tool":"assign","args":{"ticket_id":"TCK-3","agent":"okafor"}},
{"tool":"create_ticket","args":{"title":"API latency spikes","priority":9}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]code 30/30 correct
correctcode.trace.nested-v1conf 100% · 114ms · $0.001 · 1484 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
68correctcode.trace.js-v1conf 100% · 128ms · $0.000 · 272 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 2) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
60correctcode.trace.nested-v1conf 100% · 174ms · $0.001 · 859 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
116correctcode.trace.python-v1conf 100% · 121ms · $0.000 · 356 tok
question
What does this Python program print?
```python
total = 0
v = 2
while total + v <= 83:
if v % 7 != 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:
56correctcode.trace.js-v1conf 100% · 120ms · $0.000 · 131 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 2) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
108correctcode.trace.nested-v1conf 100% · 111ms · $0.001 · 1390 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
278correctcode.trace.python-v1conf 100% · 105ms · $0.000 · 273 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 6
while total + v <= 43:
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:
27correctcode.trace.js-v1conf 100% · 119ms · $0.000 · 210 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 7) .filter(n => n % 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:
126correctcode.trace.nested-v1conf 100% · 110ms · $0.001 · 1528 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
165correctcode.trace.python-v1conf 100% · 136ms · $0.000 · 412 tok
question
What does this Python program print?
```python
total = 0
v = 1
while total + v <= 112:
if v % 7 != 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:
111correctcode.trace.js-v1conf 100% · 130ms · $0.000 · 212 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 3) .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:
210correctcode.trace.python-v1conf 100% · 122ms · $0.001 · 645 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 2
while total + v <= 65:
if v % 4 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
50correctcode.trace.js-v1conf 100% · 117ms · $0.000 · 201 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 * 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.nested-v1conf 100% · 120ms · $0.001 · 899 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
68correctcode.trace.nested-v1conf 100% · 106ms · $0.002 · 1962 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 8):
if j == 6 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:
458correctcode.trace.python-v1conf 100% · 119ms · $0.000 · 310 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 12
while total + v <= 78:
if v % 5 != 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:
78correctcode.trace.js-v1conf 100% · 132ms · $0.000 · 224 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]; const out = arr .map(n => n * 2) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
372correctcode.trace.python-v1conf 100% · 794ms · $0.000 · 371 tok
question
What does this Python program print?
```python
total = 0
v = 9
while total + v <= 66:
if v % 5 != 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:
57correctcode.trace.nested-v1conf 100% · 107ms · $0.001 · 1319 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
152correctcode.trace.js-v1conf 100% · 195ms · $0.000 · 225 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18]; const out = arr .map(n => n * 5) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
140correctcode.trace.python-v1conf 100% · 129ms · $0.000 · 294 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 10
while total + v <= 96:
if v % 7 != 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:
82correctcode.trace.nested-v1conf 100% · 120ms · $0.001 · 1424 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 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:
229correctcode.trace.js-v1conf 100% · 131ms · $0.000 · 291 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 2) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
108correctcode.trace.nested-v1conf 100% · 118ms · $0.001 · 978 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 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:
128correctcode.trace.python-v1conf 100% · 851ms · $0.000 · 482 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 5
while total + v <= 80:
if v % 4 != 0:
total += v
v += 3
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
70correctcode.trace.js-v1conf 100% · 115ms · $0.000 · 201 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6]; const out = arr .map(n => n * 3) .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:
63correctcode.trace.nested-v1anchorconf 100% · 207ms · $0.001 · 1475 tok
model answer:
283correctcode.trace.python-v1anchorconf 100% · 761ms · $0.000 · 412 tok
model answer:
0correctcode.trace.js-v1anchorconf 100% · 113ms · $0.000 · 243 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 157ms · $0.000 · 286 tok
model answer:
40instruction following 30/30 correct
correctif.constraints.stack-v1conf 100% · 111ms · $0.001 · 1417 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "prism" and the last word must be "basalt". 3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism sunrise guided travelers across endless dunes their shadows dancing under distant orbit while whispers of ancient stars traced another orbit toward silent basaltcorrectif.format.acronym-v1conf 100% · 114ms · $0.000 · 150 tok
question
Take the third letter of each of these words, in order: falcon, ember, delta, tundra, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LBLNMcorrectif.constraints.stack-v1conf 100% · 129ms · $0.001 · 1475 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "tundra" and the last word must be "quartz". 3. Use the word "zephyr" 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:
tundra whispers beneath silver waves, zephyr dancing over foam, zephyr singing through gulls, zephyr guiding moonlit tides toward eternal deep blue horizon still quartzcorrectif.constraints.stack-v1conf 100% · 118ms · $0.001 · 565 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "cedar" and the last word must be "echo". 3. Use the word "orbit" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cedar travelers embarked across silent dunes, chasing distant stars, orbit whisper through endless night, orbit guiding weary souls toward echocorrectif.format.repeat-v1conf 100% · 131ms · $0.000 · 174 tok
question
Write the word "echo" 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:
echo-echo-echo-echo-echo-echo-echo-echocorrectif.format.acronym-v1conf 100% · 134ms · $0.000 · 174 tok
question
Take the second letter of each of these words, in order: prism, quartz, 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:
RULMcorrectif.format.repeat-v1conf 100% · 111ms · $0.000 · 289 tok
question
Write the word "comet" in uppercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
COMET_COMET_COMET_COMETcorrectif.constraints.stack-v1conf 100% · 121ms · $0.001 · 903 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "falcon" and the last word must be "drift". 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:
falcon sails across endless dunes, chasing distant comet shadows, while ancient comet whispers guide the weary traveler toward luminous horizon, endless soft driftcorrectif.format.acronym-v1conf 100% · 168ms · $0.000 · 103 tok
question
Take the second letter of each of these words, in order: falcon, flint, drift, nova. 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:
ALROcorrectif.format.repeat-v1conf 100% · 132ms · $0.000 · 195 tok
question
Write the word "flint" in capitalized form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FLINT_FLINT_FLINT_FLINT_FLINTcorrectif.constraints.stack-v1conf 100% · 118ms · $0.001 · 859 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "orbit" and the last word must be "flint". 3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
orbit neon alleys shimmer drift of fog distant horns wail midnight taxis drift city pulse flintcorrectif.format.acronym-v1conf 100% · 110ms · $0.000 · 142 tok
question
Take the first letter of each of these words, in order: quartz, comet, drift, echo, nova, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
QCDENPcorrectif.format.repeat-v1conf 100% · 151ms · $0.000 · 224 tok
question
Write the word "falcon" in lowercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon/falcon/falcon/falcon/falcon/falconcorrectif.format.acronym-v1conf 100% · 113ms · $0.000 · 195 tok
question
Take the second letter of each of these words, in order: basalt, prism, nova, cedar, delta, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AROEERcorrectif.constraints.stack-v1conf 100% · 136ms · $0.001 · 666 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "nova" and the last word must be "orbit". 3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova rusted gears whisper echo through dust corridors, while echo glints metallic shadows echo over forgotten circuitry and orbitcorrectif.constraints.stack-v1conf 100% · 114ms · $0.001 · 1098 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "zephyr" and the last word must be "echo". 3. Use the word "flint" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr lights flicker over sleepy streets, flint sparks dancing, flint reflections ripple, midnight whispers linger, distant horns softly through echocorrectif.format.repeat-v1conf 100% · 129ms · $0.000 · 225 tok
question
Write the word "echo" in uppercase 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:
ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHOcorrectif.format.acronym-v1conf 100% · 124ms · $0.000 · 226 tok
question
Take the third letter of each of these words, in order: tundra, comet, cedar, lumen, quartz, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
NMDMAHcorrectif.format.repeat-v1conf 100% · 117ms · $0.000 · 271 tok
question
Write the word "cedar" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDARcorrectif.constraints.stack-v1conf 100% · 119ms · $0.001 · 1204 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "prism" and the last word must be "orbit". 3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism sunrise paints frost-covered tundra, soft light glistens over silent tundra fields, whispering calm before slowly orbitcorrectif.format.acronym-v1conf 100% · 158ms · $0.000 · 209 tok
question
Take the third letter of each of these words, in order: ember, echo, lumen, 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:
BHMBAcorrectif.format.repeat-v1conf 100% · 125ms · $0.000 · 234 tok
question
Write the word "ember" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EMBER/EMBER/EMBER/EMBER/EMBER/EMBER/EMBER/EMBERcorrectif.format.acronym-v1conf 100% · 181ms · $0.000 · 165 tok
question
Take the third letter of each of these words, in order: nova, echo, flint, quartz, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
VHIADcorrectif.format.repeat-v1conf 100% · 110ms · $0.000 · 456 tok
question
Write the word "delta" in uppercase form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DELTA-DELTA-DELTA-DELTA-DELTA-DELTAcorrectif.constraints.stack-v1conf 100% · 128ms · $0.000 · 447 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "drift" and the last word must be "cedar". 3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift through rusted gears, a silent prism glints beside cracked brass, echoing forgotten prism memories under cedarcorrectif.constraints.stack-v1anchorconf 100% · 136ms · $0.001 · 1826 tok
model answer:
drift through neon streets, soft lumen glows, shadows ripple, distant sirens hum, moonlit rooftops shimmer, still breaths linger, city whispers, lumen, lumen, endless orbitcorrectif.format.acronym-v1conf 100% · 140ms · $0.000 · 144 tok
question
Take the second letter of each of these words, in order: lumen, quartz, nova, drift, zephyr, 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:
UUOREMcorrectif.format.repeat-v1anchorconf 100% · 149ms · $0.000 · 336 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.format.repeat-v1anchorconf 100% · 124ms · $0.000 · 257 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRcorrectif.format.acronym-v1anchorconf 100% · 122ms · $0.000 · 152 tok
model answer:
ZDFQknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 115ms · $0.000 · 377 tok
question
Name the Nigerian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 114ms · $0.000 · 218 tok
question
Identify the element whose symbol is Sb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 99% · 114ms · $0.000 · 140 tok
question
Name the chemical element with symbol W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 123ms · $0.000 · 157 tok
question
Identify the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 124ms · $0.000 · 143 tok
question
What is the Turkish capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 132ms · $0.000 · 188 tok
question
What is the element whose symbol is Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 127ms · $0.000 · 292 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% · 107ms · $0.000 · 149 tok
question
What is 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% · 124ms · $0.000 · 165 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% · 116ms · $0.000 · 506 tok
question
What is the capital of Australia? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 126ms · $0.000 · 104 tok
question
Name the capital of Australia. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 120ms · $0.000 · 151 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% · 130ms · $0.000 · 162 tok
question
What is the author of "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 110ms · $0.000 · 106 tok
question
Name the chemical element with symbol Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 160ms · $0.000 · 159 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% · 431ms · $0.000 · 153 tok
question
Identify the chemical element with symbol Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 140ms · $0.000 · 173 tok
question
What is the Swiss capital (de facto)? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 127ms · $0.000 · 149 tok
question
Identify the Swiss capital (de facto). Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 150ms · $0.000 · 154 tok
question
Identify the capital of Switzerland. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 109ms · $0.000 · 199 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% · 115ms · $0.000 · 115 tok
question
Identify the element whose symbol is W. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tungstencorrectknowledge.fr.factbank-v2conf 100% · 125ms · $0.000 · 119 tok
question
Name 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% · 132ms · $0.000 · 144 tok
question
Name the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 151ms · $0.000 · 104 tok
question
Identify the capital of Myanmar. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 135ms · $0.000 · 163 tok
question
What is the element whose symbol is Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 125ms · $0.000 · 151 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-v2anchorconf 100% · 117ms · $0.000 · 114 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 112ms · $0.000 · 269 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 180ms · $0.000 · 138 tok
model answer:
Leadcorrectknowledge.fr.factbank-v2anchorconf 100% · 139ms · $0.000 · 157 tok
model answer:
Antimonymath 29/30 correct
correctmath.chained.pipeline-v1conf 100% · 138ms · $0.000 · 315 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 79 × 81. Step 2: Q = P × 8 − 372. 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:
5652correctmath.percent.chain-v2conf 95% · 115ms · $0.001 · 754 tok
question
An inventory starts at 47000 units. Each pallet weighs about 121 grams more when wet. In the first month the inventory grows by 26%. Each pallet weighs about 153 grams more when wet. The next month it shrinks by 37%, and the month after it grows by 27%. 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:
47381.92correctmath.counterfactual.base-v1conf 100% · 140ms · $0.000 · 346 tok
question
Work strictly in base 11. Add the base-11 numbers 1963 and 326. 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:
2189correctmath.arith.chain-v2conf 100% · 129ms · $0.001 · 629 tok
question
Evaluate the expression below and give the result. (((77 × 65 − 713) × 7 + 3584) − 40 × 72) × 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:
153740correctmath.algebra.system-v2conf 100% · 114ms · $0.000 · 287 tok
question
Solve the system, then answer the derived question. 9x + 3y = 159 6x − 9y = 249 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:
162correctmath.chained.pipeline-v1conf 100% · 131ms · $0.000 · 459 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 89 × 19. Step 2: Q = P × 6 − 192. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1659correctmath.counterfactual.base-v1conf 100% · 125ms · $0.001 · 629 tok
question
Work strictly in base 7. Add the base-7 numbers 3634 and 2024. 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:
5661correctmath.percent.chain-v2conf 95% · 120ms · $0.001 · 567 tok
question
An inventory starts at 14000 units. A rival firm shipped 81 unrelated parcels the same week. In the first month the inventory grows by 34%. Each pallet weighs about 177 grams more when wet. The next month it shrinks by 35%, and the month after it grows by 5%. 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:
12803.7correctmath.arith.chain-v2conf 98% · 126ms · $0.000 · 473 tok
question
Compute the value of the following expression. (((86 × 52 − 847) × 8 + 7785) − 87 × 63) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
93912correctmath.algebra.system-v2conf 100% · 119ms · $0.000 · 272 tok
question
Solve the system, then answer the derived question. 9x + 9y = -450 9x − 10y = -32 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:
-52correctmath.chained.pipeline-v1conf 100% · 159ms · $0.000 · 284 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 86 × 56. Step 2: Q = P × 9 − 950. 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:
6058correctmath.counterfactual.base-v1conf 99% · 109ms · $0.001 · 543 tok
question
Work strictly in base 8. Add the base-8 numbers 2716 and 1513. 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:
4431correctmath.percent.chain-v2conf 100% · 127ms · $0.000 · 518 tok
question
An inventory starts at 86000 units. A rival firm shipped 113 unrelated parcels the same week. In the first month the inventory grows by 27%. The warehouse was painted 31 years ago. The next month it shrinks by 8%, and the month after it grows by 13%. 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:
113545.11correctmath.algebra.system-v2conf 100% · 123ms · $0.000 · 234 tok
question
Solve the system, then answer the derived question. 9x + 3y = 114 5x − 4y = 69 What is the value of 6x − 5y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
83correctmath.arith.chain-v2conf 100% · 119ms · $0.000 · 317 tok
question
Work out the exact value of this expression. (((29 × 41 − 176) × 6 + 1671) − 51 × 46) × 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:
10806correctmath.counterfactual.base-v1conf 100% · 109ms · $0.000 · 395 tok
question
Work strictly in base 11. Multiply the base-11 numbers 60 and 58. 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:
3140correctmath.chained.pipeline-v1conf 100% · 129ms · $0.000 · 165 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 20 × 31. Step 2: Q = P × 3 − 227. 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:
409wrongmath.percent.chain-v2conf — · 108ms · — · — tok
question
An inventory starts at 57000 units. The company was founded 134 kilometers from the port. In the first month the inventory grows by 22%. The warehouse was painted 15 years ago. The next month it shrinks by 44%, and the month after it grows by 11%. 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:
(none extracted)correctmath.algebra.system-v2conf 100% · 145ms · $0.000 · 345 tok
question
Solve the system, then answer the derived question. 7x + 3y = -112 9x − 8y = -559 What is the value of 3x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-303correctmath.arith.chain-v2conf 100% · 116ms · $0.000 · 446 tok
question
Calculate the following. Show your reasoning, then answer. (((43 × 32 − 652) × 4 + 2853) − 96 × 81) × 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:
-14189correctmath.counterfactual.base-v1conf 100% · 162ms · $0.001 · 877 tok
question
Work strictly in base 7. Add the base-7 numbers 5661 and 10154. 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:
16145correctmath.chained.pipeline-v1conf 100% · 111ms · $0.000 · 187 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 52 × 22. Step 2: Q = P × 5 − 747. 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:
997correctmath.percent.chain-v2conf 100% · 107ms · $0.001 · 537 tok
question
An inventory starts at 66000 units. The warehouse was painted 155 years ago. In the first month the inventory grows by 36%. A rival firm shipped 112 unrelated parcels the same week. The next month it shrinks by 12%, and the month after it grows by 27%. 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:
100315.78correctmath.algebra.system-v2conf 100% · 130ms · $0.000 · 269 tok
question
Solve the system, then answer the derived question. 8x + 3y = -179 4x − 5y = -291 What is the value of 2x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-254correctmath.arith.chain-v2conf 100% · 121ms · $0.000 · 384 tok
question
Compute the value of the following expression. (((35 × 33 − 116) × 8 + 9654) − 82 × 36) × 6 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
90084correctmath.counterfactual.base-v1anchorconf 100% · 124ms · $0.001 · 740 tok
model answer:
11236correctmath.chained.pipeline-v1conf 100% · 110ms · $0.000 · 218 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 30 × 60. Step 2: Q = P × 8 − 552. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2308correctmath.percent.chain-v2anchorconf 95% · 118ms · $0.001 · 606 tok
model answer:
61896.52correctmath.arith.chain-v2anchorconf 100% · 169ms · $0.000 · 438 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 142ms · $0.000 · 233 tok
model answer:
87multilingual 29/30 correct
correctmultilingual.wordnum-v1conf 100% · 127ms · $0.000 · 332 tok
question
A number is written in French: « trois cent soixante-douze ». Another is written in Spanish: « cuatrocientos doce ». 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:
-40correctmultilingual.numword-v2conf 100% · 109ms · $0.000 · 153 tok
question
Compute 496 + 217, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
setecientos trececorrectmultilingual.wordnum-v1conf 100% · 163ms · $0.000 · 112 tok
question
A number is written in French: « cent trente-cinq ». Another is written in Spanish: « ciento setenta 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:
313correctmultilingual.numword-v2conf 100% · 116ms · $0.000 · 152 tok
question
Compute 452 + 363, 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 quinzecorrectmultilingual.wordnum-v1conf 100% · 128ms · $0.000 · 237 tok
question
A number is written in French: « quatre-vingt-quatorze ». Another is written in Spanish: « cuatrocientos veinticuatro ». 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:
518correctmultilingual.wordnum-v1conf 100% · 112ms · $0.000 · 197 tok
question
A number is written in French: « neuf cent vingt-neuf ». Another is written in Spanish: « quinientos ochenta ». 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:
349correctmultilingual.numword-v2conf 100% · 177ms · $0.000 · 159 tok
question
Compute 368 + 442, 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 dixcorrectmultilingual.numword-v2conf 100% · 109ms · $0.000 · 200 tok
question
Compute 196 + 299, 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 noventa y cincocorrectmultilingual.numword-v2conf 100% · 114ms · $0.000 · 473 tok
question
Compute 221 + 193, 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 quatorzecorrectmultilingual.wordnum-v1conf 100% · 159ms · $0.000 · 150 tok
question
A number is written in French: « cinq cent dix-sept ». Another is written in Spanish: « ochocientos dieciocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1335correctmultilingual.numword-v2conf 100% · 115ms · $0.000 · 250 tok
question
Compute 410 + 154, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent soixante-quatrecorrectmultilingual.wordnum-v1conf 100% · 120ms · $0.000 · 127 tok
question
A number is written in French: « cinq cent soixante ». Another is written in Spanish: « cincuenta y ocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
618correctmultilingual.wordnum-v1conf 100% · 163ms · $0.000 · 194 tok
question
A number is written in French: « deux cent soixante-huit ». Another is written in Spanish: « setecientos ochenta ». 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:
1048correctmultilingual.wordnum-v1conf 100% · 147ms · $0.000 · 152 tok
question
A number is written in French: « soixante-sept ». Another is written in Spanish: « trescientos 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:
370correctmultilingual.numword-v2conf 100% · 158ms · $0.000 · 168 tok
question
Compute 60 + 84, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cent quarante-quatrecorrectmultilingual.numword-v2conf 100% · 116ms · $0.000 · 249 tok
question
Compute 157 + 392, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent quarante-neufcorrectmultilingual.wordnum-v1conf 100% · 140ms · $0.000 · 348 tok
question
A number is written in French: « neuf cent quatre-vingt-dix ». Another is written in Spanish: « ochocientos veintiuno ». 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:
1811correctmultilingual.numword-v2conf 100% · 140ms · $0.000 · 189 tok
question
Compute 298 + 375, 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 setenta y trescorrectmultilingual.numword-v2conf 100% · 113ms · $0.000 · 338 tok
question
Compute 453 + 450, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
neuf cent troiscorrectmultilingual.wordnum-v1conf 100% · 110ms · $0.000 · 227 tok
question
A number is written in French: « quatre cent cinquante-cinq ». Another is written in Spanish: « ciento treinta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
589correctmultilingual.wordnum-v1conf 100% · 126ms · $0.000 · 226 tok
question
A number is written in French: « huit cent trente-neuf ». Another is written in Spanish: « seiscientos cuarenta 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:
1482correctmultilingual.numword-v2conf 100% · 158ms · $0.000 · 326 tok
question
Compute 100 + 100, 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:
doscientoscorrectmultilingual.numword-v2conf 100% · 112ms · $0.000 · 285 tok
question
Compute 332 + 97, 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 veintinuevecorrectmultilingual.wordnum-v1conf 100% · 112ms · $0.000 · 329 tok
question
A number is written in French: « huit cent quarante et un ». Another is written in Spanish: « novecientos 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:
-65correctmultilingual.wordnum-v1conf 100% · 120ms · $0.000 · 270 tok
question
A number is written in French: « sept cent soixante ». Another is written in Spanish: « seiscientos setenta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
83correctmultilingual.numword-v2conf 100% · 111ms · $0.000 · 150 tok
question
Compute 258 + 301, 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 cinquante-neufwrongmultilingual.numword-v2anchorconf 100% · 143ms · $0.000 · 380 tok
model answer:
huit cent soixante-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 112ms · $0.000 · 154 tok
model answer:
150correctmultilingual.wordnum-v1anchorconf 100% · 151ms · $0.000 · 386 tok
model answer:
762correctmultilingual.numword-v2anchorconf 100% · 128ms · $0.000 · 148 tok
model answer:
seiscientos ochoreasoning 29/30 correct
correctreasoning.deduction.order-v2conf 95% · 114ms · $0.001 · 1022 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Quinn. Hana is taller than Goran. Dara is taller than Nadir. Quinn is taller than Hana. Chen is heavier than everyone here, but Chen is not being ranked. Alice is taller than Dara. Nadir is taller than Goran. Priya is taller than Quinn. Dara is taller than Priya. Hana is taller than Nadir. 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:
Hanacorrectreasoning.deduction.position-v1conf 100% · 170ms · $0.000 · 368 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Nadir. Emil is directly ahead of Dara. Dara is number 2 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.order-v2conf 100% · 108ms · $0.001 · 759 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Liam. Sami is heavier than Farah. Alice is taller than everyone here, but Alice is not being ranked. Emil is heavier than Hana. Liam is heavier than Emil. Nadir is heavier than Farah. Hana is heavier than Goran. Nadir is heavier than Emil. Sami is heavier than Nadir. Sami is heavier than Hana. 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:
Nadircorrectreasoning.deduction.position-v1conf 100% · 117ms · $0.000 · 307 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 4 in the queue. Nadir is directly ahead of Ola. Rosa is directly ahead of Mona. Ola is directly ahead of Rosa. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.order-v2conf 100% · 112ms · $0.001 · 1428 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Liam. Liam is faster than Jonas. Ines is faster than Hana. Emil is faster than Hana. Priya is faster than Jonas. Ines is faster than Emil. Jonas is faster than Farah. Liam is faster than Priya. Emil is faster than Farah. Bruno is heavier than everyone here, but Bruno is not being ranked. 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:
Jonascorrectreasoning.deduction.position-v1conf 100% · 120ms · $0.000 · 278 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Goran. Goran is directly ahead of Emil. Emil is number 3 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilcorrectreasoning.deduction.order-v2conf 100% · 113ms · $0.001 · 625 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Quinn. Ola is faster than Quinn. Bruno is faster than Rosa. Tessa is faster than Quinn. Sami is faster than Rosa. Rosa is faster than Ola. Nadir is faster than Sami. Hana is heavier than everyone here, but Hana is not being ranked. Ola is faster than Tessa. Bruno is faster than Nadir. 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:
Samicorrectreasoning.deduction.order-v2conf 100% · 113ms · $0.001 · 1035 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is heavier than Ines. Nadir is taller than everyone here, but Nadir is not being ranked. Rosa is heavier than Bruno. Ola is heavier than Mona. Mona is heavier than Rosa. Bruno is heavier than Goran. Bruno is heavier than Chen. Goran is heavier than Chen. Ola is heavier than Ines. Mona is heavier than Chen. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 129ms · $0.000 · 228 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Goran. Goran is directly ahead of Emil. Emil is number 3 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1conf 100% · 180ms · $0.000 · 200 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Tessa. Nadir is directly ahead of Ines. Tessa is number 2 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gorancorrectreasoning.deduction.order-v2conf 100% · 134ms · $0.001 · 635 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Quinn. Nadir is faster than Farah. Quinn is faster than Dara. Farah is faster than Jonas. Dara is faster than Farah. Rosa is faster than Farah. Quinn is faster than Jonas. Liam is heavier than everyone here, but Liam is not being ranked. Nadir is faster than Bruno. Dara is faster than Rosa. 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:
Rosacorrectreasoning.deduction.position-v1conf 100% · 140ms · $0.000 · 243 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 2 in the queue. Quinn is directly ahead of Chen. Goran is directly ahead of Rosa. 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:
Rosawrongreasoning.deduction.order-v2conf 100% · 158ms · $0.001 · 907 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Bruno. Alice is older than Dara. Emil is older than Quinn. Kira is older than Emil. Emil is older than Quinn. Mona is heavier than everyone here, but Mona is not being ranked. Bruno is older than Quinn. Alice is older than Quinn. Ola is older than Alice. Dara is older than Kira. 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:
(none extracted)correctreasoning.deduction.position-v1conf 100% · 128ms · $0.000 · 215 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 3 in the queue. Priya is directly ahead of Emil. Jonas is directly ahead of Priya. 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:
Priyacorrectreasoning.deduction.order-v2conf 95% · 127ms · $0.001 · 791 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Emil is taller than Dara. Dara is taller than Alice. Priya is taller than Kira. Dara is taller than Priya. Bruno is taller than Rosa. Dara is taller than Rosa. Alice is taller than Priya. Kira is taller than Bruno. Kira is taller than Rosa. Ines is faster than everyone here, but Ines is not being ranked. 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:
Brunocorrectreasoning.deduction.position-v1conf 100% · 128ms · $0.000 · 207 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Dara. Dara is directly ahead of Goran. Alice is directly ahead of Sami. Goran 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:
Daracorrectreasoning.deduction.order-v2conf 100% · 123ms · $0.001 · 697 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Sami is older than Nadir. Liam is taller than everyone here, but Liam is not being ranked. Alice is older than Chen. Nadir is older than Dara. Nadir is older than Priya. Dara is older than Priya. Nadir is older than Priya. Chen is older than Sami. Tessa is older than Alice. Tessa is older than Dara. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.position-v1conf 100% · 120ms · $0.000 · 195 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 2 in the queue. Ola is directly ahead of Farah. Liam is directly ahead of Nadir. 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.order-v2conf 100% · 160ms · $0.001 · 763 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Goran. Jonas is older than everyone here, but Jonas is not being ranked. Tessa is taller than Liam. Liam is taller than Farah. Dara is taller than Farah. Liam is taller than Dara. Sami is taller than Tessa. Sami is taller than Farah. Goran is taller than Chen. Tessa is taller than Farah. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 112ms · $0.000 · 322 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Ines. Kira is number 1 in the queue. Ines is directly ahead of Emil. 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:
Emilcorrectreasoning.deduction.order-v2conf 95% · 161ms · $0.001 · 555 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Ines. Farah is heavier than Hana. Kira is older than everyone here, but Kira is not being ranked. Hana is heavier than Ines. Ines is heavier than Rosa. Rosa is heavier than Nadir. Farah is heavier than Ines. Chen is heavier than Rosa. Dara is heavier than Farah. Ines is heavier than Chen. 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:
Farahcorrectreasoning.deduction.position-v1conf 100% · 128ms · $0.000 · 182 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Goran. Goran is directly ahead of Priya. Priya is number 3 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.order-v2conf 95% · 118ms · $0.001 · 689 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Dara. Liam is heavier than Mona. Hana is heavier than Liam. Sami is heavier than Goran. Goran is heavier than Dara. Jonas is faster than everyone here, but Jonas is not being ranked. Mona is heavier than Dara. Tessa is heavier than Sami. Goran is heavier than Hana. Hana is heavier than Mona. 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:
Monacorrectreasoning.deduction.position-v1conf 100% · 117ms · $0.000 · 188 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 3 in the queue. Ola is directly ahead of Nadir. Nadir is directly ahead of Tessa. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Nadircorrectreasoning.deduction.order-v2conf 98% · 137ms · $0.001 · 799 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Ines. Bruno is heavier than everyone here, but Bruno is not being ranked. Dara is older than Liam. Ines is older than Liam. Alice is older than Kira. Dara is older than Liam. Priya is older than Dara. Liam is older than Rosa. Ines is older than Rosa. Kira is older than Priya. 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% · 173ms · $0.000 · 270 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Priya. Ines is directly ahead of Rosa. Rosa is number 2 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.position-v1anchorconf 100% · 119ms · $0.000 · 333 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 117ms · $0.001 · 786 tok
model answer:
Monacorrectreasoning.deduction.order-v2anchorconf 100% · 130ms · $0.000 · 578 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 122ms · $0.000 · 216 tok
model answer:
Farahterminal 26/30 correct
correctterminal.fs.tree-v1conf 100% · 116ms · $0.001 · 916 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/build`, `/proj/src`): ``` /proj/build/index.txt /proj/conf/todo.md /proj/report.txt /proj/setup.cfg /proj/src/util.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch build/report-2.txt mv build/report-2.txt ./ mv report-2.txt build/ mkdir -p src/assets-9 rm setup.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/index.txt
/proj/build/report-2.txt
/proj/conf/todo.md
/proj/report.txt
/proj/src/util.cfgcorrectterminal.exit.chain-v1conf 100% · 137ms · $0.000 · 418 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh test -f app.txt && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
Z
exit:0correctterminal.exit.chain-v1conf 100% · 150ms · $0.001 · 775 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 grep -q amber notes.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 110ms · $0.000 · 453 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` kim,hr,38,42 ned,eng,118,26 max,ops,92,34 hal,hr,89,48 dev,legal,68,37 fay,eng,117,24 eli,hr,96,20 jon,sales,6,48 bo,legal,70,30 ivy,sales,40,37 lou,eng,50,78 ana,sales,6,95 oli,hr,106,36 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ana,6
ivy,40
jon,6wrongterminal.fs.tree-v1conf 100% · 119ms · $0.001 · 960 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/index.txt /proj/logs/draft.md /proj/logs/report.md /proj/setup.log /proj/src/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp setup.log build/ mkdir -p src/src-5 mv src/todo.txt logs/ mkdir -p logs/assets-5 touch logs/todo-7.txt mv logs/report.md logs/notes-1.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/setup.log
/proj/index.txt
/proj/logs/draft.md
/proj/logs/notes-1.md
/proj/logs/todo-7.txt
/proj/logs/todo.txtcorrectterminal.pipeline.predict-v1conf 100% · 153ms · $0.000 · 437 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,legal,19,48 dev,ops,48,32 gus,eng,44,12 ned,eng,100,85 pam,legal,49,62 kim,sales,15,50 ivy,ops,113,74 hal,eng,95,27 lou,hr,72,85 fay,legal,12,25 eli,sales,42,54 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lou,72correctterminal.exit.chain-v1conf 100% · 114ms · $0.001 · 761 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B true && echo C || echo D true && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
exit:1correctterminal.fs.tree-v1conf 100% · 117ms · $0.001 · 796 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/conf`): ``` /proj/docs/report.cfg /proj/draft.txt /proj/logs/notes.cfg /proj/logs/todo.md /proj/main.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch logs/util-5.txt touch util-1.log touch util-3.txt mv draft.txt docs/ touch conf/notes-9.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/notes-9.md
/proj/docs/draft.txt
/proj/docs/report.cfg
/proj/logs/notes.cfg
/proj/logs/todo.md
/proj/logs/util-5.txt
/proj/main.cfg
/proj/util-1.log
/proj/util-3.txtcorrectterminal.pipeline.predict-v1conf 100% · 126ms · $0.001 · 604 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` oli,ops,110,34 hal,legal,113,83 jon,hr,89,48 max,hr,91,68 eli,ops,91,19 pam,hr,99,97 ned,eng,109,12 dev,sales,69,33 cy,hr,37,90 bo,sales,19,94 ivy,hr,119,86 lou,hr,53,13 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
bo,19
dev,69correctterminal.exit.chain-v1conf 100% · 109ms · $0.001 · 1001 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
exit:1correctterminal.fs.tree-v1conf 100% · 113ms · $0.001 · 1253 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/setup.md /proj/index.log /proj/notes.log /proj/src/draft.log /proj/src/util.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm src/util.md rm conf/setup.md cd docs cp ../../proj/index.log ../../proj/src/ cp ../../proj/index.log ../../proj/src/ mkdir -p ../../proj/src/logs-4 cd ../../proj/conf mv ../../proj/src/draft.log ../../proj/src/logs-4/ mv ../../proj/index.log ../../proj/draft-2.txt touch notes-8.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/conf/notes-8.log
/proj/draft-2.txt
/proj/notes.log
/proj/src/index.log
/proj/src/logs-4/draft.logwrongterminal.pipeline.predict-v1conf 100% · 119ms · $0.000 · 444 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ned,legal,71,85
lou,ops,86,73
fay,legal,65,89
dev,eng,84,86
kim,sales,112,49
jon,sales,20,89
bo,hr,106,13
pam,legal,98,84
eli,ops,31,48
gus,hr,63,51
ana,ops,115,56
cy,eng,112,26
oli,sales,95,28
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 40 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 120ms · $0.001 · 861 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B false && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.fs.tree-v1conf 100% · 131ms · $0.001 · 950 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/conf`): ``` /proj/conf/setup.cfg /proj/draft.cfg /proj/logs/index.txt /proj/logs/util.log /proj/report.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp report.cfg src/ mkdir -p src/conf-5 mv src/report.cfg ./ mkdir -p conf/src-7 rm draft.cfg mv logs/index.txt logs/index-2.log cd . rm logs/index-2.log mv report.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/conf/setup.cfg
/proj/logs/util.log
/proj/report.cfgcorrectterminal.pipeline.predict-v1conf 100% · 370ms · $0.000 · 361 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` eli,hr,85,90 bo,ops,20,47 max,ops,53,36 hal,ops,28,47 jon,sales,82,68 pam,eng,20,20 dev,legal,92,14 oli,ops,106,41 lou,eng,85,46 kim,ops,17,91 cy,legal,109,50 ned,hr,55,94 ``` 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:
ned,hr,55,94
eli,hr,85,90correctterminal.exit.chain-v1conf 100% · 169ms · $0.001 · 695 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: dune, basil (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F grep -q dune notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
D
E
G
exit:1correctterminal.fs.tree-v1conf 100% · 132ms · $0.001 · 1017 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/util.log /proj/draft.txt /proj/logs/report.cfg /proj/main.cfg /proj/src/index.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm draft.txt rm src/index.log mkdir -p assets-3 touch logs/report-4.md mv logs/report-4.md build/ cd assets-3 cp ../../proj/build/report-4.md ../../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/report-4.md
/proj/build/util.log
/proj/logs/report.cfg
/proj/main.cfg
/proj/src/report-4.mdcorrectterminal.fs.tree-v1conf 95% · 161ms · $0.001 · 1677 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/conf`, `/proj/src`): ``` /proj/assets/notes.md /proj/assets/report.cfg /proj/draft.md /proj/src/setup.log /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch conf/draft-7.cfg cd src cd ../../proj cp assets/report.cfg ./ mkdir -p assets/src-8 cp report.cfg assets/ cd assets/src-8 touch ../../../proj/src/util-6.cfg touch notes-3.md cd ../../../proj mv assets/report.cfg assets/draft-4.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft-4.md
/proj/assets/notes.md
/proj/assets/src-8/notes-3.md
/proj/conf/draft-7.cfg
/proj/draft.md
/proj/report.cfg
/proj/src/setup.log
/proj/src/util-6.cfg
/proj/util.logcorrectterminal.pipeline.predict-v1conf 100% · 122ms · $0.000 · 354 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
cy,sales,3,12
ned,sales,111,71
gus,eng,80,78
oli,eng,47,81
dev,eng,24,52
lou,eng,31,56
bo,sales,31,46
kim,ops,12,42
hal,hr,56,47
max,legal,60,10
jon,hr,91,46
fay,sales,75,27
ivy,eng,10,70
ana,sales,78,33
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
60correctterminal.exit.chain-v1conf 100% · 127ms · $0.001 · 786 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, dune (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B grep -q dune notes.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
Z
exit:0correctterminal.pipeline.predict-v1conf 100% · 116ms · $0.001 · 641 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ivy,ops,24,82 gus,legal,12,14 kim,sales,57,35 jon,ops,70,64 max,sales,38,47 cy,ops,55,91 dev,ops,68,18 pam,sales,111,47 bo,sales,109,78 hal,sales,45,83 fay,ops,14,17 ana,hr,91,47 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
kim,sales,57,35
bo,sales,109,78
pam,sales,111,47correctterminal.fs.tree-v1conf 96% · 115ms · $0.001 · 1530 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/build`, `/proj/conf`): ``` /proj/draft.md /proj/logs/main.txt /proj/logs/notes.txt /proj/logs/todo.cfg /proj/report.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/report-1.txt cp build/report-1.txt ./ mkdir -p build/assets-6 cd logs mv ../../proj/report-1.txt ./ touch ../../proj/build/assets-6/report-9.md cd ../../proj/conf rm ../../proj/build/assets-6/report-9.md mkdir -p ../../proj/logs-8 cd ../../proj/build/assets-6 ``` 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/report-1.txt
/proj/draft.md
/proj/logs/main.txt
/proj/logs/notes.txt
/proj/logs/report-1.txt
/proj/logs/todo.cfg
/proj/report.txtwrongterminal.exit.chain-v1conf 100% · 134ms · $0.001 · 758 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.fs.tree-v1conf 100% · 159ms · $0.001 · 1307 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.md /proj/conf/draft.md /proj/main.log /proj/setup.cfg /proj/src/index.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch src/report-9.log touch src/setup-4.cfg cd assets mv todo.md main-3.log cp main-3.log ../../proj/conf/ rm ../../proj/main.log ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/main-3.log
/proj/conf/draft.md
/proj/conf/main-3.log
/proj/setup.cfg
/proj/src/index.md
/proj/src/report-9.log
/proj/src/setup-4.cfgcorrectterminal.pipeline.predict-v1conf 100% · 122ms · $0.000 · 438 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,sales,85,10 eli,legal,92,86 bo,eng,25,63 fay,hr,119,86 hal,hr,102,56 max,eng,11,77 oli,ops,43,36 ana,sales,70,33 lou,ops,116,44 dev,ops,58,40 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
dev,ops,58,40
lou,ops,116,44correctterminal.exit.chain-v1conf 100% · 124ms · $0.001 · 730 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, dune (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B test -f data.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F false && echo G || echo H test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
H
Z
exit:0correctterminal.pipeline.predict-v1anchorconf 100% · 177ms · $0.001 · 694 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 108ms · $0.001 · 906 tok
model answer:
B
D
E
G
exit:1correctterminal.pipeline.predict-v1anchorconf 100% · 131ms · $0.000 · 398 tok
model answer:
1correctterminal.fs.tree-v1anchorconf 95% · 133ms · $0.001 · 1192 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.cfgRun history
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