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NVIDIA: Nemotron 3 Nano 30B A3B
nvidia/nemotron-3-nano-30b-a3b · nvidia · context 262 144 · in $0.050/1M · out $0.200/1M
Global Index
719
95% CI [672–767] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 714 [595–832] | 0.732 | 0.72 | 0.92 | 0.100 | 136ms | $0.319 | |
| code | 873 [752–994] | 0.792 | 0.98 | 1.00 | 0.000 | 156ms | $0.217 | |
| instruction following | 770 [632–908] | 0.722 | 0.79 | 0.97 | 0.038 | 121ms | $0.274 | |
| knowledge | 626 [470–781] | 0.495 | 0.95 | 0.94 | 0.077 | 125ms | $0.074 | |
| math | 769 [615–923] | 0.634 | 0.97 | 0.93 | 0.000 | 124ms | $0.172 | |
| multilingual | 755 [593–917] | 0.662 | 0.93 | 0.97 | 0.038 | 113ms | $0.121 | |
| reasoning | 857 [715–999] | 0.762 | 1.00 | 1.00 | 0.000 | 150ms | $0.196 | |
| terminal | 391 [333–449] | 0.125 | 1.00 | 0.16 | 0.000 | 107ms | $0.490 |
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 21/30 correct
truncatedagentic.tools.context-load-v1conf — · 138ms · $0.004 · 16384 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (298 records, format: id|customer|region|item|qty|status):
```
1990|harbor|west|gasket|36|paid
1743|cobalt|south|gasket|69|paid
1586|cobalt|north|rotor|52|shipped
1613|cobalt|north|sensor|54|shipped
1483|fulton|south|sensor|89|held
2504|gale|east|sensor|15|shipped
2129|cobalt|south|rotor|63|held
1511|harbor|south|rotor|77|pending
1970|ember|north|gasket|36|held
2422|acme|north|valve|33|paid
1465|cobalt|south|gasket|39|pending
1461|harbor|south|rotor|12|shipped
1565|dorian|south|frame|84|shipped
2402|juno|north|frame|50|paid
2368|birch|south|pump|48|shipped
1521|harbor|west|frame|14|shipped
2024|harbor|south|rotor|27|paid
1730|dorian|north|valve|87|held
2141|gale|west|cable|33|held
2219|cobalt|north|gasket|84|shipped
2106|cobalt|north|pump|47|pending
2523|ionic|south|panel|31|pending
1473|fulton|west|panel|48|shipped
1958|ionic|north|rotor|98|held
1557|ember|west|frame|40|paid
2492|gale|south|frame|37|shipped
2280|birch|north|gasket|88|paid
2015|fulton|south|valve|10|paid
1412|fulton|north|gasket|32|pending
2105|gale|east|rotor|11|paid
1454|dorian|south|cable|68|shipped
2544|harbor|north|valve|23|shipped
2081|dorian|east|gasket|37|pending
1889|harbor|east|cable|98|held
1597|gale|south|gasket|80|paid
1623|gale|north|gasket|67|held
2418|ionic|north|cable|82|paid
2262|fulton|south|rotor|43|paid
2583|dorian|east|pump|12|held
2067|ionic|west|panel|36|paid
1563|ember|south|frame|24|shipped
2266|dorian|west|valve|40|pending
2138|cobalt|south|rotor|23|held
2553|dorian|north|frame|76|paid
2470|acme|north|pump|88|shipped
2513|harbor|south|panel|96|shipped
2610|cobalt|south|frame|12|paid
1987|harbor|east|frame|51|shipped
1922|fulton|west|sensor|63|paid
1911|juno|south|frame|40|held
2197|dorian|east|pump|58|held
2394|fulton|east|valve|81|paid
1833|ionic|west|frame|56|paid
1569|acme|south|gasket|87|held
2310|cobalt|east|sensor|96|paid
1695|gale|south|panel|38|paid
1770|cobalt|west|gasket|84|pending
2312|dorian|east|cable|78|shipped
2373|cobalt|north|rotor|16|pending
2320|ember|west|rotor|21|pending
2065|dorian|west|cable|25|pending
1642|harbor|east|frame|88|paid
2043|harbor|west|sensor|69|pending
1630|fulton|east|rotor|69|pending
1843|fulton|north|rotor|25|paid
2537|dorian|east|panel|23|shipped
1785|ionic|east|panel|37|held
2179|gale|east|sensor|11|held
2188|harbor|west|panel|46|shipped
2143|dorian|north|frame|37|shipped
1933|harbor|east|gasket|46|held
1948|cobalt|south|pump|29|paid
2153|birch|east|rotor|44|pending
1537|ionic|south|valve|75|shipped
2545|harbor|west|panel|63|shipped
1952|cobalt|west|frame|82|held
1478|fulton|east|panel|82|pending
2558|juno|west|rotor|60|shipped
1991|fulton|east|frame|11|paid
1457|acme|north|rotor|44|paid
2387|ionic|north|gasket|83|paid
1892|harbor|west|pump|30|shipped
1590|dorian|east|valve|79|pending
2074|fulton|north|cable|31|shipped
1467|acme|north|panel|68|held
1554|juno|north|sensor|69|pending
1549|juno|north|panel|23|pending
2595|fulton|east|frame|60|pending
1998|juno|east|frame|68|shipped
2395|cobalt|north|gasket|29|paid
2026|gale|south|rotor|45|held
2344|cobalt|east|cable|69|paid
1857|juno|west|frame|51|held
2282|ionic|north|cable|70|shipped
1974|harbor|east|panel|78|paid
2463|acme|north|panel|88|paid
1900|acme|west|frame|59|held
2598|cobalt|north|frame|72|shipped
2355|gale|north|rotor|34|shipped
2267|birch|west|valve|42|pending
2208|gale|west|sensor|86|pending
2561|cobalt|north|sensor|99|pending
2037|fulton|south|valve|95|pending
2079|fulton|south|gasket|37|held
2611|fulton|west|valve|98|shipped
1551|gale|west|valve|14|shipped
2327|ionic|east|panel|96|shipped
2025|fulton|west|pump|32|shipped
2590|juno|south|panel|56|shipped
2161|cobalt|north|cable|86|pending
2517|juno|north|valve|30|held
2578|juno|north|sensor|38|held
2366|acme|west|rotor|46|paid
2457|ionic|west|rotor|79|paid
1671|fulton|south|cable|31|paid
1846|juno|south|gasket|37|pending
2007|ionic|north|valve|11|paid
2500|juno|west|frame|89|paid
1904|juno|south|valve|18|paid
1855|ember|east|pump|29|paid
2204|ember|south|gasket|24|paid
2550|birch|south|rotor|27|held
2440|ember|east|panel|16|held
1690|gale|south|frame|70|held
2499|juno|east|cable|74|held
1830|birch|east|valve|79|paid
2260|harbor|south|frame|64|shipped
2148|ionic|west|sensor|35|pending
1767|juno|west|cable|85|held
2166|harbor|east|sensor|15|shipped
1544|birch|south|gasket|95|pending
1926|juno|east|pump|35|shipped
1636|harbor|north|frame|56|shipped
2337|harbor|west|frame|61|held
2044|fulton|north|valve|60|shipped
2374|dorian|east|rotor|49|held
1434|fulton|west|rotor|53|paid
2055|birch|south|sensor|66|shipped
1656|harbor|north|rotor|55|held
1425|fulton|west|cable|81|held
2468|juno|west|pump|78|shipped
2240|ionic|west|panel|72|shipped
1582|juno|north|frame|89|paid
1451|juno|west|pump|95|shipped
1936|gale|south|frame|71|shipped
1694|gale|west|gasket|60|shipped
2541|gale|south|sensor|21|pending
1963|fulton|east|cable|60|held
1646|harbor|west|valve|75|pending
2050|harbor|south|gasket|56|pending
2308|ember|north|rotor|59|paid
2157|juno|west|rotor|88|pending
2357|juno|east|valve|48|shipped
2091|harbor|west|cable|88|shipped
1668|cobalt|north|rotor|99|shipped
1894|gale|south|panel|11|shipped
1814|cobalt|west|gasket|97|shipped
2250|juno|north|valve|29|shipped
2534|harbor|north|frame|53|shipped
1713|ionic|south|gasket|90|pending
2328|dorian|south|rotor|62|pending
2518|fulton|west|cable|28|shipped
1879|ember|south|gasket|20|pending
2377|cobalt|north|rotor|86|paid
1660|juno|east|cable|38|pending
2454|ember|west|sensor|33|paid
1441|acme|west|cable|80|paid
2409|birch|north|cable|87|pending
1617|birch|west|sensor|50|pending
1540|juno|east|valve|76|shipped
1413|fulton|west|gasket|52|held
2295|dorian|west|frame|52|shipped
1852|ember|south|sensor|28|paid
1526|harbor|south|pump|27|held
1683|gale|south|valve|29|paid
1573|acme|east|panel|63|pending
1762|dorian|north|frame|14|shipped
2444|gale|north|frame|61|shipped
2509|birch|north|panel|35|pending
2173|fulton|west|gasket|40|held
1420|fulton|north|rotor|76|pending
2133|juno|east|rotor|59|shipped
2086|ember|east|cable|54|paid
1419|fulton|west|rotor|34|pending
2205|cobalt|north|gasket|72|pending
1989|juno|east|rotor|42|held
2484|fulton|east|cable|51|paid
2309|dorian|south|gasket|21|pending
1495|harbor|north|cable|95|paid
2190|ionic|north|frame|78|held
1819|ionic|south|panel|16|shipped
1608|juno|east|frame|70|shipped
1661|cobalt|south|frame|87|held
2360|harbor|west|gasket|24|pending
2152|fulton|north|panel|28|pending
1578|ionic|north|gasket|41|held
2473|juno|west|cable|57|paid
1697|cobalt|north|panel|98|held
1735|harbor|north|gasket|54|shipped
1782|harbor|south|frame|57|held
2562|cobalt|north|sensor|45|held
1462|juno|south|frame|27|pending
2174|birch|south|rotor|47|paid
2257|ember|south|cable|63|paid
1429|fulton|west|rotor|59|pending
1624|harbor|west|pump|97|shipped
1633|dorian|south|valve|51|paid
2621|birch|east|frame|93|pending
2318|ember|south|sensor|62|held
1433|fulton|east|valve|33|pending
1959|ionic|north|rotor|86|shipped
1776|dorian|west|sensor|27|pending
2488|juno|north|sensor|14|shipped
2264|dorian|north|gasket|40|held
2102|ionic|west|valve|35|held
2428|gale|south|frame|43|shipped
2326|acme|west|rotor|11|paid
1672|ionic|west|rotor|93|shipped
2348|birch|east|panel|56|paid
2414|acme|south|cable|32|paid
2062|birch|east|frame|51|paid
1601|cobalt|south|frame|76|paid
1837|ember|east|frame|47|pending
2283|gale|south|rotor|75|pending
1883|dorian|south|sensor|95|paid
2292|dorian|west|valve|13|pending
2000|acme|south|pump|74|shipped
1501|dorian|south|rotor|97|shipped
1981|fulton|east|sensor|38|paid
2117|harbor|north|pump|23|paid
1531|ember|north|rotor|73|paid
1649|dorian|north|rotor|61|pending
2301|ember|west|sensor|79|held
1901|birch|west|panel|95|held
1916|cobalt|east|rotor|22|held
2480|birch|east|panel|72|pending
1472|gale|south|cable|85|pending
2477|ember|west|cable|22|held
1802|acme|south|panel|30|paid
1748|juno|west|panel|72|paid
2566|ionic|south|sensor|35|paid
2435|ember|west|gasket|39|shipped
1798|ionic|north|gasket|67|held
2113|fulton|west|valve|41|shipped
2246|birch|west|valve|17|paid
2451|ionic|south|pump|34|held
1455|juno|north|gasket|20|shipped
1550|dorian|north|valve|21|pending
1488|cobalt|north|cable|82|pending
2225|fulton|north|panel|79|held
1826|gale|north|pump|74|shipped
1741|fulton|west|pump|26|shipped
1869|ionic|north|gasket|39|shipped
1506|dorian|south|frame|48|held
2571|ionic|east|sensor|95|shipped
2186|ionic|west|pump|31|held
2101|ionic|north|pump|14|paid
1836|harbor|east|gasket|19|pending
2341|acme|east|panel|63|paid
1941|fulton|east|rotor|61|shipped
2603|birch|north|frame|13|pending
2094|juno|north|pump|15|held
1755|ionic|west|pump|41|pending
2527|acme|west|rotor|96|shipped
1677|ember|west|gasket|41|pending
2383|harbor|north|pump|99|paid
2154|fulton|north|gasket|99|paid
1808|dorian|west|frame|31|shipped
2032|harbor|north|valve|89|pending
1517|acme|south|panel|49|paid
2436|ember|south|cable|54|pending
1781|birch|east|valve|33|held
1706|dorian|north|cable|81|pending
2122|harbor|west|rotor|54|shipped
1862|cobalt|west|valve|33|pending
1749|cobalt|west|frame|98|shipped
2274|acme|east|valve|19|shipped
1875|dorian|east|rotor|67|pending
1704|ionic|west|frame|47|pending
1972|fulton|east|panel|45|shipped
1816|birch|north|valve|58|paid
1719|birch|south|frame|54|pending
2213|acme|east|panel|67|shipped
1409|fulton|west|pump|79|pending
2019|cobalt|north|rotor|37|held
2330|gale|east|panel|34|pending
1726|dorian|east|gasket|34|shipped
1443|cobalt|east|sensor|70|shipped
2005|cobalt|west|frame|70|shipped
1835|ionic|west|sensor|59|paid
2231|gale|east|frame|70|paid
2285|fulton|west|panel|64|held
2013|fulton|north|panel|92|held
1474|birch|west|pump|74|paid
2235|ember|east|valve|66|held
1792|juno|east|sensor|28|pending
2614|ionic|north|cable|33|paid
1448|cobalt|north|cable|72|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.ledger-v1conf 100% · 751ms · $0.000 · 1205 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- delta: $854
- echo: $811
- tango: $345
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $370 from "delta" to "tango"
2. pay $352 from "delta" to "echo"
3. pay $375 from "delta" to "tango"
4. pay $466 from "tango" to "delta"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 370}},
{"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 352}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 243}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 375}},
{"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 466}}
]correctagentic.tools.triage-v1conf 100% · 103ms · $0.001 · 2705 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → novak
- payments → okafor
- auth → rivera
INCIDENTS:
1. "records missing after import" (category: data, priority 6)
2. "invoice total wrong" (category: payments, priority 4)
3. "SSO loop on login" (category: auth, priority 8)
4. "invoice total wrong" (category: payments, priority 4)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}}
]truncatedagentic.tools.context-load-v1conf — · 5.0s · $0.003 · 16384 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (188 records, format: id|customer|region|item|qty|status):
```
2153|fulton|east|gasket|50|paid
1783|acme|north|panel|49|pending
1617|acme|south|frame|15|pending
1965|ember|east|cable|30|paid
1546|acme|east|rotor|53|shipped
1678|dorian|south|pump|30|pending
2112|dorian|west|cable|37|held
1482|juno|east|pump|93|shipped
1931|fulton|east|panel|59|held
1978|ember|east|pump|85|paid
1885|fulton|south|gasket|22|pending
1419|acme|south|gasket|94|pending
1417|acme|east|valve|69|pending
2016|fulton|south|rotor|21|shipped
2012|fulton|north|gasket|16|paid
1507|harbor|north|rotor|49|paid
1586|ember|south|cable|89|paid
1825|cobalt|east|panel|97|held
2047|cobalt|south|rotor|90|paid
1771|harbor|south|gasket|67|shipped
2032|ember|west|pump|37|paid
1841|birch|north|sensor|48|shipped
1861|harbor|west|rotor|57|pending
1424|acme|east|panel|41|held
1521|gale|north|sensor|41|paid
1957|fulton|north|frame|44|paid
1730|dorian|west|sensor|51|paid
1740|dorian|west|valve|25|held
1862|ember|north|valve|63|pending
1920|gale|west|rotor|61|shipped
1881|dorian|west|panel|70|shipped
2093|dorian|east|valve|69|held
1477|ember|south|frame|37|shipped
2075|gale|west|pump|78|held
1431|harbor|west|panel|41|shipped
1669|juno|east|panel|88|shipped
1962|ember|west|sensor|15|pending
1789|ember|east|cable|74|paid
1691|fulton|east|valve|57|paid
1721|fulton|east|rotor|51|held
2137|juno|north|valve|60|pending
1964|gale|south|gasket|23|shipped
1745|dorian|east|pump|71|shipped
1984|dorian|east|cable|78|paid
1544|gale|west|frame|65|held
2053|fulton|south|panel|57|held
1501|juno|south|gasket|55|pending
1558|ionic|south|cable|59|held
1652|ember|east|rotor|53|paid
2026|birch|north|cable|13|paid
1538|fulton|south|cable|74|pending
1478|dorian|west|panel|74|held
1867|cobalt|north|pump|66|paid
1454|harbor|east|cable|86|pending
1390|acme|west|panel|95|pending
1443|acme|north|panel|98|shipped
1613|ember|north|cable|50|shipped
1663|cobalt|east|rotor|44|pending
1400|acme|east|sensor|13|pending
1609|cobalt|south|pump|84|shipped
2082|juno|south|cable|39|shipped
2073|birch|west|panel|47|paid
1999|juno|south|panel|28|pending
2020|acme|east|gasket|67|shipped
1593|fulton|north|valve|13|pending
1876|cobalt|south|pump|32|pending
1727|juno|west|sensor|94|shipped
1518|ionic|east|panel|83|held
1672|cobalt|north|panel|34|held
1961|gale|east|sensor|55|pending
2130|dorian|south|cable|68|held
2042|harbor|east|valve|85|held
1484|fulton|north|sensor|50|held
1894|fulton|north|frame|64|pending
1913|cobalt|west|rotor|26|held
1718|harbor|east|gasket|78|shipped
1749|gale|north|pump|63|shipped
1790|gale|east|valve|22|shipped
1643|cobalt|east|sensor|67|held
2142|ember|east|valve|24|paid
1393|acme|east|rotor|60|shipped
2015|ember|west|valve|35|paid
1937|juno|south|gasket|32|paid
2064|fulton|south|valve|11|paid
1917|fulton|west|cable|21|paid
1470|gale|north|pump|68|pending
1600|gale|north|valve|80|held
1833|dorian|north|gasket|51|held
1799|gale|north|panel|80|paid
1528|dorian|west|valve|76|paid
1834|juno|east|cable|32|held
1807|cobalt|south|valve|83|paid
2057|acme|east|cable|56|shipped
1463|ionic|east|rotor|59|shipped
1659|ember|east|valve|75|paid
2115|birch|south|sensor|22|paid
2131|dorian|west|sensor|82|shipped
1800|harbor|east|pump|60|shipped
1570|fulton|north|frame|55|shipped
1954|ionic|west|rotor|66|paid
1575|cobalt|west|pump|40|shipped
1872|ember|east|frame|12|pending
1922|acme|west|frame|55|paid
1535|gale|east|pump|84|paid
1640|harbor|west|sensor|79|shipped
1429|harbor|west|cable|36|paid
1845|juno|north|sensor|93|held
1700|harbor|north|pump|35|pending
1813|juno|south|valve|91|held
2138|ember|north|frame|45|pending
1856|dorian|east|pump|41|held
2003|dorian|north|pump|68|shipped
1684|ember|north|panel|96|shipped
1947|dorian|north|frame|62|held
2100|dorian|east|sensor|47|shipped
1489|ionic|east|cable|31|shipped
1649|dorian|east|sensor|40|shipped
1904|dorian|west|gasket|66|paid
2076|fulton|south|gasket|82|held
1809|birch|east|valve|71|shipped
1719|ionic|west|rotor|77|paid
1794|cobalt|east|sensor|12|paid
1994|fulton|east|gasket|13|paid
2089|ember|east|panel|16|paid
1448|gale|south|sensor|54|held
2025|dorian|east|pump|73|held
1842|ember|west|panel|71|pending
1971|ember|north|valve|77|held
2010|juno|north|pump|55|shipped
1485|dorian|south|valve|35|paid
1925|fulton|north|frame|35|paid
1415|acme|east|sensor|56|shipped
1387|acme|east|panel|54|pending
1513|gale|north|frame|63|pending
1438|fulton|south|cable|85|shipped
2148|birch|west|gasket|91|paid
1948|harbor|west|panel|70|paid
1573|acme|east|cable|79|pending
1402|acme|west|frame|39|pending
1820|ember|west|valve|82|shipped
1681|dorian|north|rotor|58|shipped
1711|birch|east|cable|61|shipped
1942|ember|north|gasket|79|shipped
1736|ember|north|rotor|89|held
1493|fulton|north|frame|57|shipped
1563|juno|west|sensor|99|held
1456|harbor|north|rotor|95|held
1534|harbor|north|valve|98|shipped
1496|harbor|west|sensor|78|held
1483|cobalt|west|rotor|78|held
1852|gale|west|cable|94|paid
1406|acme|east|frame|17|held
2105|ionic|east|frame|54|shipped
1888|birch|west|cable|19|paid
1907|cobalt|south|sensor|53|paid
1449|gale|west|gasket|97|held
1627|birch|south|gasket|23|pending
1707|birch|east|pump|44|held
1828|gale|north|rotor|84|held
1582|fulton|east|frame|14|shipped
2124|dorian|north|sensor|69|paid
2037|juno|north|panel|62|pending
1764|acme|south|gasket|22|paid
1410|acme|east|gasket|87|pending
1941|dorian|south|sensor|25|shipped
1889|gale|north|sensor|56|held
1709|juno|north|panel|46|paid
1826|harbor|east|frame|58|pending
2069|ember|west|valve|14|held
1991|ionic|south|sensor|57|paid
1607|acme|west|cable|43|pending
2152|gale|south|valve|90|held
1773|juno|west|valve|78|paid
1414|acme|west|sensor|76|pending
1693|dorian|south|pump|14|held
1620|ember|north|sensor|64|shipped
1795|gale|east|pump|24|paid
1646|acme|south|valve|22|held
1437|ember|east|panel|35|held
1831|fulton|north|panel|10|paid
2050|fulton|west|frame|43|paid
1897|juno|west|panel|15|pending
1551|gale|south|gasket|44|pending
1778|ember|south|sensor|92|held
1756|fulton|north|pump|49|held
2122|dorian|north|pump|16|shipped
1757|cobalt|west|valve|16|shipped
1633|ember|east|pump|26|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" 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:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 74ms · $0.000 · 871 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: notifier
- notifier: (none)
- gateway: notifier
- search: billing, gateway
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "notifier" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "health_check", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}}
]correctagentic.tools.ledger-v1conf 100% · 72ms · $0.000 · 1038 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- kilo: $727
- tango: $858
- oscar: $317
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $272 from "kilo" to "oscar"
2. pay $410 from "oscar" to "tango"
3. pay $287 from "oscar" to "tango"
4. pay $467 from "oscar" 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": "kilo", "to": "oscar", "amount": 272}},
{"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 410}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 108}},
{"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 287}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 467}},
{"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 467}}
]truncatedagentic.tools.context-load-v1conf — · 2.3s · $0.003 · 16384 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 (204 records, format: id|customer|region|item|qty|status):
```
1672|ionic|north|valve|23|held
1601|birch|north|rotor|34|paid
1510|gale|north|rotor|93|shipped
1620|dorian|south|valve|30|held
1983|fulton|north|gasket|64|paid
1714|acme|east|pump|92|paid
1553|cobalt|north|valve|52|held
1822|cobalt|east|panel|38|shipped
1216|gale|south|gasket|19|held
1381|birch|north|gasket|10|paid
1423|acme|west|gasket|87|pending
1744|juno|west|valve|47|paid
1996|ember|east|sensor|76|paid
1528|birch|north|pump|49|pending
2008|juno|south|cable|36|pending
1873|cobalt|west|valve|33|held
1318|fulton|east|panel|83|held
1767|birch|north|valve|52|held
1435|ionic|east|gasket|51|pending
1928|gale|north|cable|97|held
1754|ionic|west|cable|42|held
1681|cobalt|west|cable|15|paid
1699|ember|east|sensor|95|held
1854|gale|west|cable|57|held
1625|birch|east|cable|59|pending
1722|dorian|south|frame|37|held
1274|dorian|north|valve|26|paid
1888|ionic|north|valve|84|paid
1751|ionic|south|pump|42|held
1766|birch|south|rotor|92|pending
1876|birch|west|rotor|47|paid
1599|harbor|east|valve|66|paid
1634|dorian|east|rotor|69|paid
1414|dorian|west|pump|80|held
1396|harbor|west|sensor|24|held
1597|ionic|south|gasket|76|paid
1676|birch|north|sensor|31|shipped
1454|harbor|east|pump|32|shipped
1866|fulton|east|sensor|91|shipped
1228|gale|north|gasket|84|pending
1517|ionic|north|pump|71|shipped
1859|harbor|north|cable|52|shipped
1324|ionic|south|sensor|17|paid
1282|gale|south|sensor|74|paid
1837|ionic|north|pump|61|paid
1269|cobalt|east|gasket|91|shipped
1404|ember|south|rotor|89|held
1280|ember|north|pump|56|paid
1631|acme|north|cable|52|shipped
1388|gale|east|rotor|50|shipped
1564|acme|north|gasket|27|shipped
1474|cobalt|west|frame|76|held
1919|birch|east|pump|39|shipped
1203|gale|south|gasket|47|shipped
1844|dorian|north|frame|16|paid
1516|acme|west|rotor|29|held
1935|cobalt|south|frame|46|held
1705|cobalt|north|frame|77|shipped
1399|dorian|north|panel|88|pending
1361|ionic|north|valve|76|held
1795|acme|south|valve|62|pending
1832|harbor|east|pump|17|held
1494|gale|south|sensor|24|pending
1251|acme|south|valve|16|paid
1342|fulton|north|frame|69|pending
1506|ember|south|cable|94|pending
1429|harbor|north|cable|19|pending
1468|ionic|east|pump|98|paid
1734|birch|east|pump|15|pending
1484|dorian|south|valve|24|held
1209|gale|north|pump|71|pending
1909|ember|west|pump|62|pending
1271|acme|north|frame|11|paid
1547|birch|west|pump|69|held
1944|gale|south|pump|27|held
1242|gale|east|pump|23|pending
1782|fulton|east|frame|24|shipped
1289|ionic|east|pump|95|held
1664|ionic|east|cable|44|shipped
1802|acme|south|valve|69|paid
1537|ionic|east|panel|38|shipped
1365|harbor|east|gasket|84|held
1934|fulton|east|gasket|19|paid
1490|fulton|east|frame|49|held
1592|harbor|north|sensor|41|paid
1952|harbor|north|pump|12|pending
1896|gale|north|valve|20|pending
1902|ember|west|panel|81|shipped
1975|juno|south|gasket|81|pending
1813|cobalt|south|panel|28|pending
1710|gale|south|pump|73|held
1263|gale|south|frame|71|held
1577|juno|east|valve|48|shipped
1360|birch|west|rotor|90|shipped
1979|ember|south|sensor|86|pending
1386|juno|south|sensor|60|held
1807|acme|north|valve|31|pending
1683|gale|east|frame|90|paid
1703|fulton|north|panel|80|pending
1348|fulton|west|rotor|15|held
1988|dorian|north|cable|92|paid
1523|birch|south|gasket|31|held
1640|dorian|north|valve|71|held
1696|harbor|north|rotor|48|pending
1739|gale|north|cable|97|pending
2003|dorian|west|valve|31|pending
1650|dorian|north|frame|77|shipped
1733|ember|east|frame|40|pending
2001|harbor|east|panel|64|shipped
1720|ember|south|cable|71|paid
1372|fulton|north|sensor|87|pending
1223|gale|south|rotor|19|pending
1946|acme|east|valve|31|held
1794|fulton|north|cable|96|held
1957|harbor|north|pump|37|pending
1374|harbor|north|rotor|79|paid
1922|harbor|east|gasket|32|pending
1326|juno|south|frame|96|paid
1499|gale|west|panel|71|pending
2000|ember|north|valve|76|held
1509|harbor|north|gasket|35|paid
1610|juno|south|gasket|88|paid
1237|gale|south|valve|16|pending
1531|birch|north|valve|39|held
1231|gale|south|frame|34|shipped
1296|juno|north|sensor|29|shipped
1588|juno|west|rotor|19|pending
1458|ember|east|rotor|92|held
1628|acme|north|sensor|73|held
2002|fulton|north|rotor|21|pending
1341|fulton|east|gasket|64|pending
1914|ionic|south|gasket|38|shipped
1355|ember|west|panel|47|paid
1541|juno|west|frame|52|pending
1530|acme|west|pump|54|held
1302|fulton|west|gasket|49|shipped
1788|cobalt|north|cable|58|held
1420|gale|south|rotor|47|paid
1199|gale|east|pump|82|pending
1938|gale|east|cable|20|pending
1883|fulton|east|frame|23|paid
1901|ember|north|cable|82|pending
1508|ember|north|panel|37|pending
1763|harbor|west|panel|64|held
1258|ember|east|panel|92|held
1688|harbor|south|rotor|14|paid
1449|gale|north|rotor|73|held
1701|fulton|east|frame|91|paid
1667|harbor|east|gasket|97|shipped
1207|gale|south|gasket|23|pending
1828|harbor|west|gasket|13|shipped
1192|gale|south|valve|83|pending
1593|juno|north|pump|41|shipped
1761|cobalt|west|sensor|16|pending
1331|ionic|east|sensor|46|pending
1695|dorian|east|gasket|11|paid
1645|gale|south|panel|47|shipped
1851|gale|east|cable|61|pending
1309|juno|east|cable|29|shipped
1560|ionic|east|gasket|50|paid
1464|fulton|north|valve|73|shipped
1815|birch|west|frame|32|shipped
1784|birch|east|rotor|52|paid
1777|birch|east|valve|51|pending
1244|gale|south|frame|25|held
1572|cobalt|north|sensor|32|shipped
1402|ionic|west|cable|82|shipped
1747|ionic|south|cable|74|shipped
1971|ionic|north|pump|29|shipped
1989|cobalt|east|panel|28|paid
1568|juno|east|cable|99|held
1728|juno|north|cable|41|paid
1856|acme|north|panel|31|pending
1500|acme|south|panel|44|paid
1964|dorian|east|gasket|44|paid
1582|ember|north|frame|24|held
1961|fulton|west|frame|60|pending
1657|acme|east|gasket|15|paid
1387|cobalt|west|frame|68|pending
1338|harbor|north|cable|60|shipped
1770|acme|south|gasket|35|shipped
1481|ember|south|pump|83|held
1463|harbor|south|sensor|12|held
1395|dorian|west|valve|74|held
2009|harbor|north|cable|38|pending
1596|birch|south|valve|75|shipped
1400|cobalt|east|frame|13|held
1316|juno|north|pump|19|shipped
1991|dorian|west|cable|43|held
1444|fulton|north|valve|95|shipped
1614|acme|west|valve|61|paid
1893|cobalt|east|cable|29|pending
1461|ionic|west|panel|73|held
1779|ionic|east|pump|20|paid
1409|ember|east|cable|86|shipped
1343|ionic|west|frame|70|pending
1442|ember|north|cable|70|pending
1443|birch|south|sensor|17|shipped
1565|cobalt|south|rotor|33|paid
1278|ember|south|valve|88|held
1283|juno|west|panel|80|pending
1942|cobalt|north|pump|26|pending
1604|birch|south|frame|90|paid
1605|gale|west|frame|48|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.triage-v1conf 100% · 112ms · $0.000 · 1518 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → rivera
- infra → silva
- payments → chen
INCIDENTS:
1. "records missing after import" (category: data, priority 5)
2. "API latency spikes" (category: infra, priority 3)
3. "records missing after import" (category: data, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.deploy-v1conf 100% · 83ms · $0.000 · 1068 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: reports
- auth-svc: billing, reports
- billing: (none)
- reports: billing
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 1.3s · $0.000 · 1140 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: $374
- tango: $832
- lima: $806
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $152 from "tango" to "lima"
2. pay $214 from "lima" to "oscar"
3. pay $373 from "oscar" to "tango"
4. pay $188 from "tango" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"tango","to":"lima","amount":152}},
{"tool":"transfer","args":{"from":"lima","to":"oscar","amount":214}},
{"tool":"transfer","args":{"from":"oscar","to":"tango","amount":373}},
{"tool":"transfer","args":{"from":"tango","to":"oscar","amount":188}}
]correctagentic.tools.triage-v1conf 100% · 613ms · $0.001 · 2514 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 → okafor
- data → haddad
- auth → chen
INCIDENTS:
1. "refund double-charged" (category: payments, priority 4)
2. "dashboard shows stale numbers" (category: data, priority 3)
3. "SSO loop on login" (category: auth, priority 8)
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": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 4}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]truncatedagentic.tools.context-load-v1conf — · 86ms · $0.004 · 16384 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (298 records, format: id|customer|region|item|qty|status):
```
1885|gale|north|panel|92|held
2370|birch|south|gasket|86|paid
1365|birch|west|rotor|18|pending
2482|ember|east|rotor|21|shipped
1653|birch|south|valve|29|held
2192|fulton|east|gasket|87|shipped
2165|birch|south|valve|75|shipped
1489|harbor|south|gasket|19|held
1660|gale|south|rotor|38|shipped
2318|gale|west|valve|22|paid
1416|fulton|north|panel|52|paid
2052|ember|west|gasket|74|shipped
1892|birch|west|panel|48|paid
1779|fulton|east|rotor|71|paid
1468|ember|west|gasket|74|paid
1852|gale|east|valve|40|pending
1947|harbor|south|cable|49|held
2270|cobalt|east|panel|86|pending
1606|ionic|east|frame|40|paid
1407|ionic|south|pump|89|shipped
2440|birch|north|frame|31|paid
1421|cobalt|east|rotor|93|held
1460|ember|north|cable|87|pending
2464|dorian|south|pump|18|pending
2125|ionic|north|panel|21|pending
1950|birch|west|pump|47|paid
2122|fulton|south|cable|97|held
2116|birch|east|sensor|85|paid
2009|gale|west|sensor|82|pending
2225|acme|north|cable|55|paid
1884|harbor|east|pump|42|pending
1599|gale|west|panel|63|pending
2075|fulton|west|valve|23|shipped
1859|birch|west|panel|52|pending
1749|acme|north|valve|28|shipped
2377|juno|south|valve|43|paid
1431|harbor|north|cable|87|pending
2078|acme|south|gasket|58|paid
2410|acme|south|valve|39|held
1914|birch|north|panel|58|held
1864|harbor|south|sensor|14|pending
2447|juno|north|valve|88|paid
2422|juno|east|panel|97|held
1517|ionic|east|sensor|53|paid
2376|cobalt|east|rotor|58|shipped
2219|dorian|south|cable|42|shipped
1696|birch|east|rotor|62|held
1701|dorian|east|panel|43|held
2212|gale|west|cable|46|held
2028|cobalt|south|panel|88|paid
2089|ember|east|panel|35|paid
1850|cobalt|west|gasket|59|held
2067|harbor|east|valve|18|shipped
2360|juno|north|pump|19|pending
2353|ember|east|cable|97|held
2468|fulton|south|rotor|17|paid
2281|gale|south|frame|64|held
2218|ember|north|pump|80|paid
1326|birch|west|panel|99|pending
1894|cobalt|west|panel|16|paid
1743|dorian|north|panel|17|pending
1614|ember|west|pump|74|shipped
2273|fulton|west|cable|39|pending
2197|birch|west|gasket|99|held
1398|ember|west|frame|48|held
1649|dorian|north|frame|70|shipped
1545|juno|north|valve|52|held
1826|acme|south|cable|11|held
1802|juno|west|pump|13|pending
1581|fulton|north|rotor|54|shipped
2385|dorian|south|panel|86|held
1433|fulton|west|valve|16|pending
2070|harbor|south|rotor|22|pending
1833|fulton|north|gasket|79|pending
1634|ionic|east|sensor|24|paid
1989|birch|east|sensor|99|paid
1444|ember|west|rotor|48|held
1831|birch|north|frame|19|shipped
1328|birch|east|pump|30|pending
2148|dorian|east|panel|71|paid
2016|fulton|west|gasket|61|pending
1982|cobalt|west|gasket|70|pending
1610|cobalt|west|gasket|32|shipped
2142|fulton|north|cable|38|held
2242|cobalt|north|frame|15|held
2411|birch|north|frame|66|pending
2126|ionic|west|rotor|37|paid
1777|ionic|west|sensor|51|paid
1483|juno|south|frame|25|held
2129|ember|east|rotor|96|shipped
2298|birch|west|gasket|47|paid
2046|harbor|south|rotor|47|pending
2171|dorian|south|pump|92|paid
2414|birch|east|panel|39|pending
2283|acme|west|pump|53|held
2305|acme|west|rotor|43|held
1432|gale|west|cable|32|held
2106|gale|west|rotor|73|shipped
1813|juno|west|frame|76|paid
1629|ionic|east|rotor|53|held
1405|cobalt|west|cable|26|held
2516|juno|west|sensor|29|held
1847|fulton|west|sensor|33|held
1714|dorian|west|rotor|82|held
1508|juno|west|panel|43|shipped
1792|harbor|north|rotor|30|shipped
1751|acme|east|cable|36|shipped
2513|ember|east|frame|83|shipped
1810|acme|south|valve|44|paid
1717|gale|west|frame|45|paid
1353|birch|west|frame|12|shipped
1379|juno|north|valve|53|paid
2251|ionic|west|cable|38|shipped
1882|acme|west|frame|61|pending
1356|birch|north|rotor|68|pending
2313|dorian|east|panel|31|pending
2206|ember|west|gasket|84|held
2333|gale|east|cable|21|paid
2236|fulton|north|gasket|75|paid
1723|gale|south|panel|98|pending
2085|dorian|south|sensor|22|paid
2310|ember|north|pump|47|paid
1679|harbor|south|valve|57|paid
1734|ionic|north|pump|12|paid
1561|dorian|west|valve|65|pending
2398|ember|north|valve|62|held
2489|cobalt|north|panel|77|held
1670|birch|south|frame|51|shipped
2003|fulton|south|sensor|41|pending
1819|harbor|east|cable|50|shipped
1889|ionic|north|rotor|81|paid
1858|acme|west|rotor|56|paid
1787|cobalt|north|panel|42|held
1589|birch|south|sensor|89|paid
1388|gale|north|panel|24|held
1713|gale|north|pump|11|paid
1821|dorian|north|gasket|67|pending
1632|ionic|east|rotor|76|paid
1585|birch|west|panel|42|pending
2494|dorian|east|frame|44|shipped
1454|ember|south|sensor|75|paid
1956|harbor|east|frame|59|shipped
2454|dorian|north|gasket|85|shipped
1617|acme|north|frame|13|held
1341|birch|west|frame|26|pending
1906|gale|east|frame|78|paid
1373|birch|west|cable|18|paid
1628|ember|south|pump|82|shipped
2001|fulton|south|frame|46|shipped
2130|harbor|east|gasket|54|held
2355|acme|west|gasket|84|pending
2210|juno|east|sensor|60|held
1640|ionic|east|cable|95|pending
1461|birch|east|panel|39|shipped
2306|cobalt|west|gasket|54|pending
2380|harbor|north|panel|28|pending
1795|dorian|north|gasket|86|held
1774|fulton|south|sensor|49|pending
1815|dorian|south|panel|52|paid
2021|harbor|south|rotor|29|held
2421|fulton|east|sensor|73|paid
2179|ember|north|pump|49|pending
1532|ionic|west|pump|37|paid
1768|ionic|west|panel|42|pending
1501|ionic|east|cable|84|shipped
1934|ionic|south|gasket|61|paid
2297|fulton|north|frame|96|shipped
1534|fulton|east|panel|37|pending
1784|dorian|east|valve|92|shipped
1381|acme|west|sensor|67|paid
1607|acme|west|valve|80|paid
1677|juno|east|panel|17|pending
1372|birch|north|gasket|81|pending
1562|gale|east|frame|79|shipped
2228|harbor|west|panel|94|held
1689|fulton|west|valve|86|paid
1913|harbor|west|frame|66|shipped
2499|fulton|north|panel|84|held
1871|acme|south|panel|73|pending
1621|cobalt|east|gasket|38|shipped
1594|cobalt|south|sensor|51|held
1963|juno|south|rotor|54|held
1897|fulton|north|rotor|25|shipped
1704|birch|west|pump|12|paid
1481|birch|south|frame|51|shipped
1386|ionic|south|rotor|41|shipped
1623|cobalt|west|cable|64|pending
2433|birch|south|sensor|69|shipped
2391|harbor|south|sensor|89|pending
1927|ionic|west|pump|37|held
2505|harbor|west|panel|94|held
1883|dorian|west|valve|13|shipped
2346|harbor|east|frame|17|pending
1818|gale|east|sensor|36|shipped
1470|harbor|east|valve|90|held
1875|cobalt|west|pump|52|pending
1917|dorian|north|valve|24|paid
2340|juno|east|valve|86|shipped
1711|dorian|west|cable|96|shipped
2204|fulton|north|rotor|81|pending
1694|ionic|north|valve|28|pending
2113|dorian|west|valve|25|pending
2185|dorian|east|pump|15|shipped
2017|gale|west|rotor|76|shipped
1401|harbor|west|sensor|18|shipped
1663|gale|west|frame|54|pending
2073|cobalt|west|frame|71|shipped
2296|dorian|east|sensor|60|held
2093|ember|south|rotor|86|pending
2402|fulton|south|pump|54|pending
1996|ember|north|rotor|20|shipped
1450|juno|east|rotor|64|paid
1807|acme|west|sensor|39|pending
2405|ionic|south|cable|72|shipped
2384|fulton|north|sensor|47|shipped
2321|cobalt|south|frame|73|paid
1556|birch|west|cable|91|held
2289|ember|west|pump|15|paid
2511|gale|south|valve|86|pending
1658|gale|north|gasket|70|held
1527|juno|south|frame|71|pending
1459|harbor|north|gasket|75|pending
2100|juno|north|sensor|22|pending
1800|cobalt|east|valve|67|paid
1840|gale|south|frame|37|held
1880|ionic|east|valve|69|held
1538|fulton|east|sensor|29|pending
1334|birch|west|cable|71|shipped
2246|harbor|north|sensor|89|pending
2064|harbor|west|valve|73|held
2012|ionic|north|rotor|17|pending
1491|gale|east|cable|53|shipped
1641|acme|east|valve|67|paid
1437|ember|west|panel|51|paid
1358|birch|west|sensor|45|shipped
1970|juno|north|pump|82|shipped
1424|juno|east|valve|82|paid
1693|ionic|south|pump|84|pending
1692|acme|north|valve|21|paid
1578|cobalt|east|panel|68|held
2152|acme|west|rotor|73|held
2135|fulton|north|cable|62|pending
1523|cobalt|north|valve|66|pending
1738|juno|south|sensor|34|held
1576|birch|south|frame|38|shipped
1648|dorian|north|pump|40|paid
2211|birch|east|cable|54|held
1411|ember|west|panel|26|held
2304|ionic|east|rotor|42|shipped
1941|birch|north|gasket|68|pending
1727|harbor|north|panel|30|pending
2427|birch|west|gasket|79|shipped
2460|acme|east|panel|35|held
1758|dorian|west|sensor|37|paid
1497|fulton|west|cable|13|pending
1902|cobalt|north|sensor|17|paid
2269|ionic|north|cable|42|held
1945|gale|south|frame|20|shipped
1394|gale|east|sensor|63|paid
1355|birch|west|gasket|92|pending
1939|gale|west|cable|17|pending
1650|juno|south|valve|79|paid
1510|ember|east|pump|62|shipped
1761|juno|west|valve|90|pending
1739|juno|south|cable|31|shipped
2480|juno|south|frame|14|paid
2057|fulton|east|frame|96|paid
1922|fulton|west|frame|26|pending
2363|gale|east|frame|33|held
2382|ember|west|cable|77|pending
1924|fulton|south|sensor|39|shipped
2174|cobalt|east|frame|85|paid
1569|ember|east|valve|15|paid
1346|birch|south|pump|15|pending
2032|ionic|north|valve|12|held
2256|harbor|north|pump|28|held
1814|ionic|west|cable|61|paid
1867|fulton|south|cable|37|shipped
1888|acme|east|cable|29|held
1475|juno|west|frame|38|paid
2280|juno|west|panel|38|pending
2039|juno|east|pump|19|pending
2232|ember|north|valve|83|paid
2387|fulton|east|rotor|60|pending
1685|cobalt|north|cable|96|paid
2328|acme|west|pump|34|paid
2159|acme|north|frame|69|held
1550|ionic|west|valve|59|paid
1778|juno|east|cable|80|pending
2473|gale|west|gasket|40|held
1479|dorian|north|rotor|29|held
1511|ember|west|frame|89|held
1597|cobalt|south|frame|51|paid
2077|harbor|west|gasket|99|held
2263|birch|west|cable|16|shipped
1976|birch|east|frame|47|paid
2034|birch|south|frame|20|held
1995|dorian|south|frame|93|paid
```
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 > 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:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 60ms · $0.000 · 909 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- search: gateway
- gateway: reports
- auth-svc: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}}
]wrongagentic.tools.ledger-v1conf 100% · 128ms · $0.000 · 1188 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: $853
- lima: $386
- oscar: $880
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $325 from "echo" to "oscar"
2. pay $135 from "echo" to "lima"
3. pay $528 from "lima" to "echo"
4. pay $324 from "lima" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 7}},
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 528}},
{"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 324}},
{"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 324}}
]correctagentic.tools.triage-v1conf 95% · 146ms · $0.000 · 2189 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
- infra → chen
- payments → novak
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 6)
2. "API latency spikes" (category: infra, priority 4)
3. "SSO loop on login" (category: auth, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}},
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 6}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]truncatedagentic.tools.context-load-v1conf — · 202ms · $0.003 · 16384 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (215 records, format: id|customer|region|item|qty|status):
```
1577|ionic|north|cable|62|pending
2200|acme|south|rotor|74|shipped
1985|harbor|west|cable|91|paid
1558|juno|north|sensor|26|held
1942|dorian|east|gasket|97|pending
1528|harbor|east|cable|97|held
2122|birch|south|sensor|41|paid
2056|ionic|west|gasket|54|held
2068|ember|north|panel|70|pending
2034|fulton|west|pump|77|pending
1543|ionic|south|frame|31|pending
1538|ionic|north|valve|34|paid
1419|juno|west|valve|73|pending
1992|ionic|north|cable|81|shipped
2085|juno|north|frame|85|pending
1949|fulton|east|valve|65|held
1414|juno|east|valve|21|pending
1571|dorian|west|frame|46|shipped
1714|gale|east|valve|39|paid
1779|ionic|east|rotor|65|paid
1489|harbor|east|valve|77|held
2148|birch|west|gasket|36|paid
2009|fulton|north|sensor|83|paid
1774|dorian|south|valve|23|paid
2185|ember|east|gasket|27|paid
1686|acme|west|valve|90|shipped
1720|harbor|west|panel|38|held
1602|fulton|south|rotor|64|pending
1926|dorian|north|cable|95|shipped
1958|ionic|west|pump|63|shipped
2184|acme|west|valve|38|paid
1615|acme|east|pump|54|paid
1936|ember|north|panel|47|paid
1698|ionic|south|gasket|72|held
1920|fulton|south|frame|88|paid
1967|acme|north|gasket|53|paid
1605|juno|west|rotor|45|held
1430|juno|north|valve|52|pending
2173|juno|east|sensor|16|held
1425|juno|east|frame|34|pending
1563|ember|east|panel|88|paid
1874|dorian|west|rotor|44|shipped
2203|cobalt|west|frame|96|held
1722|ember|north|cable|88|shipped
1974|fulton|east|frame|26|held
1821|birch|south|frame|60|held
1724|gale|south|gasket|51|shipped
1485|acme|west|gasket|65|held
1813|juno|north|valve|92|held
2220|ionic|west|frame|85|shipped
1476|acme|east|pump|73|pending
2124|gale|west|cable|68|shipped
1623|birch|west|rotor|26|pending
2050|cobalt|south|rotor|68|pending
1611|juno|east|cable|90|shipped
1863|fulton|north|pump|56|pending
1522|juno|east|gasket|65|held
1797|harbor|west|sensor|71|shipped
2155|acme|south|valve|66|pending
1762|cobalt|north|rotor|15|held
1531|dorian|south|valve|50|held
1955|ember|north|frame|48|paid
1480|juno|west|rotor|63|shipped
2096|fulton|west|frame|20|shipped
2098|ionic|west|cable|73|pending
1755|harbor|north|cable|67|pending
1697|fulton|west|cable|22|held
1564|juno|south|pump|14|held
1783|gale|south|rotor|81|shipped
1849|ember|east|sensor|45|held
2128|cobalt|north|rotor|36|held
1836|cobalt|south|valve|47|paid
2242|fulton|south|panel|99|paid
2217|dorian|west|gasket|80|pending
1450|juno|east|rotor|78|shipped
1566|cobalt|east|frame|52|paid
1667|juno|east|sensor|95|held
2045|birch|south|rotor|39|held
1960|cobalt|east|cable|50|held
1541|birch|west|gasket|43|paid
2216|ionic|west|valve|78|paid
2032|dorian|north|sensor|59|pending
1551|fulton|east|valve|28|paid
1632|fulton|west|sensor|57|shipped
2071|cobalt|north|panel|39|pending
1439|juno|east|pump|68|pending
2224|acme|west|sensor|64|held
1519|gale|south|frame|79|paid
1588|cobalt|north|gasket|82|held
2154|ionic|north|frame|84|paid
1986|gale|east|panel|27|pending
2189|dorian|west|frame|47|shipped
2136|cobalt|east|pump|70|held
1730|dorian|west|pump|33|pending
1654|dorian|north|valve|92|held
2158|juno|west|panel|80|paid
1561|ionic|west|pump|41|pending
1837|juno|south|rotor|32|paid
1854|ionic|south|sensor|76|shipped
2246|ionic|south|cable|38|held
1672|dorian|east|cable|29|shipped
1741|fulton|west|rotor|89|held
2230|fulton|south|panel|31|shipped
2208|ember|south|frame|18|pending
1898|acme|north|sensor|41|shipped
2006|ionic|east|rotor|16|held
1509|ember|east|frame|99|paid
1651|harbor|south|valve|60|pending
2053|acme|east|cable|57|held
1512|ionic|north|rotor|27|shipped
2105|harbor|west|panel|96|paid
2135|dorian|south|valve|96|held
1999|ember|east|gasket|72|paid
1844|ember|north|valve|62|held
1856|cobalt|west|cable|84|held
1903|ionic|east|rotor|76|held
1892|acme|south|panel|80|pending
2015|birch|east|rotor|29|shipped
1595|fulton|north|rotor|10|held
1747|fulton|west|panel|45|shipped
1634|ionic|south|frame|41|paid
1461|gale|west|gasket|82|shipped
1642|fulton|west|frame|77|shipped
1474|gale|north|rotor|41|paid
2141|ember|west|valve|64|held
1706|cobalt|north|rotor|37|pending
1598|ionic|south|panel|79|held
1802|birch|north|pump|41|shipped
1932|harbor|north|sensor|57|pending
1466|birch|north|cable|73|held
1660|gale|west|frame|51|held
2153|fulton|south|frame|78|pending
1850|harbor|north|frame|42|shipped
2253|fulton|west|frame|11|held
2112|cobalt|north|cable|29|shipped
1885|harbor|south|pump|42|paid
2149|ionic|west|pump|75|held
1929|dorian|north|frame|31|pending
2039|acme|north|pump|49|paid
2027|cobalt|west|rotor|17|paid
1622|cobalt|south|valve|43|held
1618|harbor|west|rotor|81|shipped
2078|cobalt|west|rotor|28|pending
1933|ember|west|rotor|96|paid
1495|cobalt|north|cable|74|pending
1753|dorian|south|valve|54|held
1454|birch|east|valve|55|paid
1540|gale|west|rotor|90|paid
2062|dorian|north|valve|56|shipped
1477|harbor|north|sensor|80|shipped
2156|ember|west|rotor|85|pending
1498|gale|north|cable|52|shipped
1834|juno|north|rotor|61|pending
2168|acme|south|cable|52|shipped
2131|harbor|west|rotor|39|held
1469|acme|west|cable|85|pending
1703|cobalt|south|gasket|90|pending
1640|ember|north|valve|11|paid
2019|cobalt|north|valve|67|pending
2188|birch|south|pump|76|pending
1687|ember|north|frame|52|paid
1734|fulton|south|sensor|20|pending
2177|acme|north|gasket|92|shipped
1908|juno|south|rotor|68|held
1978|gale|east|cable|94|shipped
1685|juno|east|pump|34|shipped
1690|dorian|west|gasket|99|shipped
1907|ember|east|valve|26|shipped
1533|harbor|north|pump|56|pending
1625|fulton|east|panel|37|pending
1710|acme|west|sensor|77|pending
1645|ionic|east|gasket|60|shipped
2091|acme|south|cable|60|pending
1482|ionic|south|frame|89|shipped
2194|ionic|east|rotor|11|pending
2250|fulton|east|pump|51|held
1678|ember|south|panel|50|paid
1806|birch|south|panel|41|paid
1534|harbor|south|sensor|41|shipped
1744|dorian|south|pump|28|paid
1820|gale|east|frame|23|shipped
2000|cobalt|south|frame|38|held
1700|dorian|east|rotor|10|paid
2055|ionic|west|valve|46|pending
2172|fulton|north|rotor|50|pending
1827|juno|west|frame|90|held
1693|ionic|south|panel|38|paid
1671|ember|east|pump|71|pending
1638|fulton|west|pump|80|shipped
2164|ionic|north|panel|78|paid
1683|cobalt|south|pump|98|pending
1502|juno|south|pump|64|pending
1790|harbor|north|valve|88|pending
2209|dorian|south|gasket|63|pending
1420|juno|east|sensor|25|held
2073|ember|north|frame|82|paid
1768|gale|north|gasket|64|shipped
1880|juno|east|frame|50|paid
1435|juno|east|pump|47|held
2238|dorian|south|frame|43|paid
1641|fulton|south|panel|40|shipped
1665|birch|south|gasket|77|paid
1982|cobalt|south|sensor|42|paid
1927|birch|east|rotor|29|held
2241|cobalt|east|cable|10|paid
1868|juno|south|frame|29|shipped
2234|ember|south|valve|74|shipped
1583|juno|east|valve|36|pending
1546|juno|west|cable|15|paid
1444|juno|west|gasket|42|pending
2119|cobalt|north|pump|64|held
1913|ember|west|cable|57|shipped
1658|ionic|east|frame|46|shipped
1923|harbor|south|pump|43|paid
2021|dorian|east|pump|13|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 136ms · $0.000 · 1476 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: (none)
- notifier: reports
- search: 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 "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "search"}}
]correctagentic.tools.ledger-v1conf 100% · 128ms · $0.000 · 1192 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: $481
- lima: $854
- oscar: $524
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $192 from "lima" to "echo"
2. pay $382 from "lima" to "echo"
3. pay $360 from "oscar" to "echo"
4. pay $414 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": "echo", "amount": 192}},
{"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 382}},
{"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 360}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 250}},
{"tool": "transfer", "args": {"from": "oscar", "to": "lima", "amount": 414}}
]correctagentic.tools.triage-v1conf 100% · 234ms · $0.000 · 1726 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → dubois
- payments → rivera
- data → okafor
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 4)
2. "invoice total wrong" (category: payments, priority 7)
3. "dashboard shows stale numbers" (category: data, priority 8)
4. "invoice total wrong" (category: payments, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 8}},
{"tool": "escalate", "args": {"ticket_id": "TCK-3"}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}}
]truncatedagentic.tools.context-load-v1conf — · 115ms · $0.003 · 16384 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 (169 records, format: id|customer|region|item|qty|status):
```
1536|dorian|south|rotor|91|held
1765|fulton|west|valve|38|held
1442|acme|south|frame|22|shipped
1664|gale|west|pump|78|paid
1726|cobalt|north|sensor|83|shipped
1281|harbor|north|pump|42|shipped
1557|juno|east|valve|88|held
1652|acme|west|sensor|58|paid
1655|dorian|north|pump|33|paid
1346|birch|south|gasket|13|held
1479|juno|south|gasket|68|paid
1361|cobalt|south|sensor|50|held
1847|ionic|east|frame|51|held
1813|birch|north|sensor|32|held
1272|harbor|north|valve|89|paid
1737|ember|east|frame|98|paid
1753|ionic|east|cable|39|paid
1418|gale|west|sensor|95|held
1645|ionic|south|cable|62|pending
1810|ionic|north|frame|91|held
1510|juno|south|gasket|39|held
1793|ionic|west|sensor|44|paid
1550|harbor|west|sensor|17|paid
1524|juno|south|cable|61|pending
1634|dorian|east|sensor|39|held
1493|dorian|south|gasket|38|pending
1719|fulton|east|rotor|52|pending
1436|birch|west|valve|96|pending
1474|ionic|east|panel|25|pending
1812|cobalt|east|pump|41|pending
1714|gale|north|valve|66|pending
1593|acme|east|pump|99|paid
1818|ionic|west|rotor|31|pending
1541|birch|west|panel|78|shipped
1452|cobalt|north|pump|10|shipped
1499|dorian|west|gasket|54|shipped
1703|ionic|west|pump|31|shipped
1545|dorian|west|pump|48|shipped
1605|acme|east|panel|96|held
1586|birch|west|cable|33|paid
1356|cobalt|west|frame|90|paid
1661|gale|north|frame|13|pending
1708|cobalt|south|gasket|25|held
1643|harbor|south|cable|27|shipped
1328|harbor|north|frame|19|pending
1674|harbor|west|rotor|90|held
1430|gale|north|valve|83|held
1392|gale|west|panel|81|held
1604|fulton|east|sensor|53|paid
1799|ionic|north|cable|55|shipped
1595|acme|west|pump|12|pending
1828|birch|east|valve|72|paid
1449|fulton|west|frame|19|paid
1252|harbor|north|valve|40|paid
1821|ionic|south|gasket|88|shipped
1805|birch|north|frame|29|paid
1309|dorian|south|cable|76|pending
1614|gale|east|frame|26|held
1340|fulton|east|panel|54|paid
1318|dorian|west|cable|82|held
1302|ember|west|sensor|10|held
1521|cobalt|west|cable|11|shipped
1412|dorian|north|valve|51|held
1692|dorian|south|rotor|47|pending
1366|birch|east|gasket|38|shipped
1377|acme|west|rotor|52|held
1531|gale|south|gasket|19|shipped
1398|ionic|south|valve|82|held
1400|juno|south|cable|28|pending
1574|ember|west|sensor|36|shipped
1486|juno|north|cable|37|pending
1577|gale|east|valve|48|pending
1296|acme|south|valve|39|paid
1384|ionic|north|valve|37|pending
1547|fulton|north|panel|71|pending
1333|juno|south|gasket|26|paid
1869|harbor|south|cable|75|held
1768|gale|north|gasket|85|shipped
1600|ionic|east|sensor|32|paid
1287|harbor|east|rotor|47|pending
1463|ember|west|pump|14|held
1372|ember|north|pump|56|pending
1745|acme|west|sensor|99|shipped
1580|juno|east|cable|93|paid
1743|dorian|south|pump|74|paid
1497|juno|south|valve|90|held
1842|fulton|north|rotor|17|paid
1850|dorian|north|sensor|55|pending
1647|harbor|south|gasket|55|paid
1840|cobalt|south|cable|45|shipped
1427|acme|north|cable|50|pending
1789|ionic|east|panel|36|pending
1542|harbor|east|pump|78|shipped
1548|ionic|north|cable|55|pending
1572|birch|north|rotor|47|pending
1752|gale|west|panel|11|pending
1323|gale|west|rotor|79|paid
1631|juno|south|gasket|49|held
1611|fulton|west|valve|93|held
1292|juno|north|frame|62|paid
1569|juno|north|rotor|39|paid
1353|harbor|west|gasket|72|held
1681|ember|west|pump|60|pending
1578|harbor|north|valve|25|shipped
1867|fulton|south|cable|68|paid
1696|cobalt|east|frame|10|held
1424|dorian|east|pump|85|held
1381|acme|south|rotor|75|shipped
1670|fulton|south|valve|79|paid
1248|harbor|east|frame|51|pending
1312|fulton|south|panel|18|pending
1239|harbor|north|gasket|27|pending
1468|fulton|east|rotor|83|held
1380|fulton|south|valve|11|shipped
1814|birch|east|valve|73|paid
1558|harbor|north|cable|33|pending
1728|fulton|south|panel|28|paid
1407|juno|north|cable|85|held
1863|gale|west|cable|88|paid
1502|juno|west|sensor|66|paid
1581|harbor|west|cable|20|paid
1490|birch|north|rotor|70|paid
1820|fulton|north|pump|60|pending
1731|fulton|south|pump|70|paid
1277|harbor|east|panel|88|pending
1316|gale|north|sensor|43|pending
1563|juno|north|sensor|67|shipped
1243|harbor|north|gasket|43|shipped
1775|ember|west|sensor|96|pending
1375|harbor|west|rotor|74|held
1637|dorian|west|frame|71|held
1393|juno|north|panel|22|paid
1795|fulton|east|pump|81|held
1831|harbor|north|sensor|78|held
1685|ember|east|sensor|42|pending
1265|harbor|west|frame|73|pending
1779|harbor|north|sensor|76|shipped
1623|fulton|east|sensor|44|pending
1857|harbor|south|cable|32|held
1760|ember|north|sensor|27|pending
1617|gale|south|rotor|39|shipped
1288|harbor|north|gasket|26|paid
1297|fulton|north|cable|55|shipped
1343|cobalt|south|rotor|98|held
1507|cobalt|east|sensor|49|shipped
1362|juno|west|sensor|31|held
1274|harbor|north|gasket|83|pending
1258|harbor|north|panel|55|pending
1817|gale|north|cable|21|shipped
1606|ember|south|cable|97|paid
1399|ionic|north|pump|11|paid
1837|ionic|east|sensor|32|held
1517|dorian|east|gasket|52|pending
1344|harbor|south|pump|44|paid
1286|harbor|north|panel|62|pending
1780|ionic|west|cable|71|held
1784|ionic|south|sensor|12|held
1591|gale|south|cable|86|shipped
1242|harbor|west|frame|57|pending
1626|fulton|west|pump|64|pending
1389|dorian|north|sensor|59|held
1712|fulton|north|sensor|81|pending
1448|dorian|east|pump|81|shipped
1246|harbor|north|cable|61|pending
1790|cobalt|west|cable|76|paid
1459|ember|east|cable|50|shipped
1317|birch|south|frame|71|held
1434|dorian|north|panel|87|held
1783|fulton|north|pump|69|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 60ms · $0.000 · 962 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: (none)
- notifier: billing, gateway
- billing: gateway
- auth-svc: gateway, notifier
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "gateway"}},
{"tool": "health_check", "args": {"service": "gateway"}},
{"tool": "deploy", "args": {"service": "billing"}},
{"tool": "deploy", "args": {"service": "notifier"}},
{"tool": "deploy", "args": {"service": "auth-svc"}}
]correctagentic.tools.ledger-v1conf 100% · 132ms · $0.000 · 1248 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: $800
- bravo: $542
- oscar: $124
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $193 from "echo" to "bravo"
2. pay $544 from "oscar" to "echo"
3. pay $172 from "echo" to "bravo"
4. pay $479 from "bravo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "bravo",
"amount": 193
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "oscar",
"amount": 420
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "echo",
"amount": 544
}
},
{
"tool": "transfer",
"args": {
"from": "echo",
"to": "bravo",
"amount": 172
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "oscar",
"amount": 479
}
}
]wrongagentic.tools.triage-v1conf 95% · 144ms · $0.001 · 2582 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → novak
- infra → rivera
- payments → haddad
INCIDENTS:
1. "records missing after import" (category: data, priority 3)
2. "uploads failing intermittently" (category: infra, priority 6)
3. "records missing after import" (category: data, priority 3)
4. "records missing after import" (category: data, 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": 3}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]truncatedagentic.tools.context-load-v1anchorconf — · 10.0s · $0.003 · 16384 tok
model answer:
(none extracted)correctagentic.tools.deploy-v1conf 100% · 119ms · $0.000 · 1337 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: auth-svc
- search: auth-svc
- gateway: auth-svc, search
- auth-svc: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "deploy", "args": {"service": "auth-svc"}},
{"tool": "deploy", "args": {"service": "reports"}},
{"tool": "deploy", "args": {"service": "search"}},
{"tool": "health_check", "args": {"service": "search"}},
{"tool": "deploy", "args": {"service": "gateway"}}
]correctagentic.tools.ledger-v1conf 100% · 642ms · $0.000 · 946 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $248
- oscar: $187
- alpha: $784
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $154 from "oscar" to "lima"
2. pay $576 from "alpha" to "lima"
3. pay $478 from "oscar" to "alpha"
4. pay $391 from "alpha" 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": "oscar", "to": "lima", "amount": 154}},
{"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 576}},
{"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 445}},
{"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 478}},
{"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 391}}
]correctagentic.tools.triage-v1conf 100% · 199ms · $0.000 · 2163 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → haddad
- auth → okafor
- payments → chen
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 6)
2. "locked out after 2FA change" (category: auth, priority 7)
3. "locked out after 2FA change" (category: auth, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 6}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 7}},
{"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 7}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}
]correctagentic.tools.triage-v1anchorconf 100% · 6.2s · $0.000 · 2134 tok
model answer:
[
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
{"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
{"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
{"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
{"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
{"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
{"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]correctagentic.tools.deploy-v1anchorconf 100% · 1.0s · $0.000 · 825 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% · 173ms · $0.000 · 1118 tok
model answer:
[
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
{"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
{"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
{"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}},
{"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
{"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]code 30/30 correct
correctcode.trace.nested-v1conf 100% · 71ms · $0.000 · 1380 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) % 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:
115correctcode.trace.js-v1conf 100% · 133ms · $0.000 · 386 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]; const out = arr .map(n => n * 6) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
270correctcode.trace.nested-v1conf 100% · 156ms · $0.001 · 4460 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 == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
565correctcode.trace.python-v1conf 100% · 109ms · $0.000 · 727 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 13
while total + v <= 31:
if v % 7 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
13correctcode.trace.nested-v1conf 100% · 6.6s · $0.000 · 1086 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
54correctcode.trace.js-v1conf 100% · 820ms · $0.000 · 376 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11]; 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:
168correctcode.trace.python-v1conf 100% · 75ms · $0.000 · 602 tok
question
What does this Python program print?
```python
total = 0
v = 11
while total + v <= 107:
if v % 4 != 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:
93correctcode.trace.python-v1conf 100% · 159ms · $0.000 · 534 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 4
while total + v <= 40:
if v % 7 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
40correctcode.trace.js-v1conf 100% · 67ms · $0.000 · 487 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 7) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
105correctcode.trace.nested-v1conf 100% · 56ms · $0.000 · 1438 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
176correctcode.trace.js-v1conf 100% · 78ms · $0.000 · 458 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9]; const out = arr .map(n => n * 4) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
180correctcode.trace.nested-v1conf 100% · 72ms · $0.001 · 3001 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
384correctcode.trace.python-v1conf 100% · 226ms · $0.000 · 556 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 9
while total + v <= 110:
if v % 6 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.js-v1conf 100% · 198ms · $0.000 · 511 tok
question
What does this JavaScript program log? ```js const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 6) .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:
240correctcode.trace.python-v1conf 100% · 66ms · $0.000 · 610 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 115:
if v % 3 != 0:
total += v
v += 7
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
84correctcode.trace.js-v1conf 100% · 154ms · $0.000 · 521 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 4) .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:
100correctcode.trace.nested-v1conf 100% · 569ms · $0.001 · 3194 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
345correctcode.trace.nested-v1conf 100% · 167ms · $0.000 · 1306 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
91correctcode.trace.python-v1conf 100% · 849ms · $0.000 · 559 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 3
while total + v <= 78:
if v % 5 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
60correctcode.trace.js-v1conf 100% · 289ms · $0.000 · 341 tok
question
What does this JavaScript program log? ```js const arr = [4, 5, 6, 7, 8, 9]; 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:
60correctcode.trace.python-v1conf 100% · 809ms · $0.000 · 470 tok
question
What does this Python program print?
```python
total = 0
v = 5
while total + v <= 92:
if v % 6 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
90correctcode.trace.nested-v1conf 100% · 1.2s · $0.000 · 1617 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
200correctcode.trace.js-v1conf 100% · 2.2s · $0.000 · 397 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
210correctcode.trace.nested-v1conf 100% · 151ms · $0.000 · 2111 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
199correctcode.trace.python-v1conf 100% · 102ms · $0.000 · 498 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 4
while total + v <= 51:
if v % 7 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
39correctcode.trace.js-v1conf 100% · 3.6s · $0.000 · 288 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [3, 4, 5, 6, 7, 8]; const out = arr .map(n => n * 7) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
126correctcode.trace.python-v1anchorconf 100% · 166ms · $0.000 · 843 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 113ms · $0.000 · 1844 tok
model answer:
283correctcode.trace.js-v1anchorconf 100% · 118ms · $0.000 · 357 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 106ms · $0.000 · 519 tok
model answer:
40instruction following 28/30 correct
correctif.constraints.stack-v1conf 100% · 145ms · $0.000 · 2346 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 21 words. 2. The first word must be "falcon" and the last word must be "flint". 3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon soars above icy valleys, basalt ridges glisten, basalt mist drifts, basalt echoes, silent pines sway cold still deep night flintwrongif.constraints.stack-v1conf 100% · 147ms · $0.001 · 3771 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "nova" and the last word must be "delta". 3. Use the word "orbit" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
nova endless voyage orbit luminous nebulae orbit distant galaxies orbit quiet void beyond endless stars eternal cosmic silent deltacorrectif.format.acronym-v1conf 100% · 152ms · $0.000 · 452 tok
question
Take the first letter of each of these words, in order: falcon, tundra, comet, quartz, prism, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
FTCQPBcorrectif.format.repeat-v1conf 100% · 860ms · $0.000 · 657 tok
question
Write the word "echo" in capitalized form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ECHO_ECHO_ECHOcorrectif.constraints.stack-v1conf 100% · 129ms · $0.001 · 2603 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "delta" and the last word must be "quartz". 3. Use the word "cedar" 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:
delta rusted gears echo cedar scent cedar memory cedar echoing metal hum softly old wooden frame silent dust ancient quartzcorrectif.format.acronym-v1conf 100% · 90ms · $0.000 · 218 tok
question
Take the first letter of each of these words, in order: ember, lumen, delta, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ELDFcorrectif.format.repeat-v1conf 100% · 2.7s · $0.000 · 312 tok
question
Write the word "cedar" in capitalized form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Cedar-Cedar-Cedar-Cedar-Cedar-Cedar-Cedar-Cedarcorrectif.constraints.stack-v1conf 100% · 1.0s · $0.001 · 3654 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "lumen" and the last word must be "drift". 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:
lumen bright sea reflects sunrise, gulls orbit above, waves orbit toward shore, echoing ancient myths, guiding hearts toward endless softly still driftcorrectif.format.acronym-v1conf 100% · 10.0s · $0.000 · 327 tok
question
Take the first letter of each of these words, in order: comet, prism, quartz, drift, ember, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CPQDEFcorrectif.format.acronym-v1conf 100% · 108ms · $0.000 · 216 tok
question
Take the first letter of each of these words, in order: orbit, ember, falcon, drift, 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:
OEFDTCcorrectif.format.repeat-v1conf 100% · 182ms · $0.000 · 472 tok
question
Write the word "comet" in uppercase 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:
COMET-COMET-COMET-COMET-COMETcorrectif.constraints.stack-v1conf 100% · 116ms · $0.000 · 2419 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "prism" and the last word must be "drift". 3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
prism silver horizon sighs ember tide murmurs amber ember glow night veil whispers soft currents ripple across moonlit sea surface drifting toward driftcorrectif.constraints.stack-v1conf 100% · 60ms · $0.001 · 3409 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "quartz" and the last word must be "prism". 3. Use the word "lumen" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quartz old machine hums with faint lumen light each pulse gentle lumen echo finally forming soft lumen prismcorrectif.format.repeat-v1conf 100% · 1.5s · $0.000 · 322 tok
question
Write the word "ember" in lowercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember-ember-ember-ember-embercorrectif.format.acronym-v1conf 100% · 75ms · $0.000 · 213 tok
question
Take the second letter of each of these words, in order: basalt, drift, quartz, cedar, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ARUEUcorrectif.format.repeat-v1conf 100% · 112ms · $0.000 · 389 tok
question
Write the word "delta" 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:
Delta/Delta/Delta/Delta/Deltacorrectif.constraints.stack-v1conf 100% · 107ms · $0.001 · 2570 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 14 words. 2. The first word must be "delta" and the last word must be "prism". 3. Use the word "comet" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
delta tides rise comet silver comet night comet glow across endless sea moon prismcorrectif.format.acronym-v1conf 100% · 147ms · $0.000 · 546 tok
question
Take the third letter of each of these words, in order: delta, cedar, falcon, ember, lumen, 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:
LDLBMMcorrectif.format.repeat-v1conf 100% · 113ms · $0.000 · 285 tok
question
Write the word "drift" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
drift_drift_drift_drift_drift_drift_drifttruncatedif.format.repeat-v1anchorconf — · 127ms · $0.003 · 16384 tok
model answer:
(none extracted)correctif.format.acronym-v1conf 100% · 78ms · $0.000 · 239 tok
question
Take the first letter of each of these words, in order: drift, basalt, echo, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DBEQcorrectif.constraints.stack-v1conf 100% · 65ms · $0.001 · 4489 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 "falcon" and the last word must be "quartz". 3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon rusted gears whisper memories slow hum copper cog metal aged silent heart nova nova nova quartzcorrectif.format.repeat-v1conf 100% · 212ms · $0.000 · 386 tok
question
Write the word "falcon" in lowercase form, repeated exactly 4 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
falcon/falcon/falcon/falconcorrectif.constraints.stack-v1conf 100% · 104ms · $0.001 · 3995 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "flint" and the last word must be "falcon". 3. Use the word "delta" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint wanderers chased delta sunrise across delta endless dunes found delta oasis finally arrived at falconcorrectif.format.acronym-v1conf 100% · 121ms · $0.000 · 664 tok
question
Take the third letter of each of these words, in order: quartz, prism, drift, basalt, lumen, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
AIISMPcorrectif.format.repeat-v1conf 100% · 67ms · $0.000 · 363 tok
question
Write the word "delta" in uppercase 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:
DELTA_DELTA_DELTA_DELTA_DELTAcorrectif.format.acronym-v1conf 100% · 120ms · $0.000 · 322 tok
question
Take the third letter of each of these words, in order: quartz, tundra, drift, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ANIScorrectif.format.repeat-v1anchorconf 100% · 825ms · $0.000 · 360 tok
model answer:
ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHOcorrectif.constraints.stack-v1anchorconf 100% · 76ms · $0.001 · 2492 tok
model answer:
drift neon avenues glow with lumen reflections on wet sidewalks as stars flicker above towering silhouettes and distant hum of traffic lumen lumen orbitcorrectif.format.acronym-v1anchorconf 100% · 138ms · $0.000 · 273 tok
model answer:
ZDFQknowledge 28/30 correct
correctknowledge.fr.factbank-v2conf 100% · 161ms · $0.000 · 306 tok
question
Name 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% · 128ms · $0.000 · 357 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 125ms · $0.000 · 371 tok
question
Identify the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 65ms · $0.000 · 300 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% · 81ms · $0.000 · 360 tok
question
What is the capital of Brazil? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 140ms · $0.000 · 403 tok
question
What is 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:
Naypyidawwrongknowledge.fr.factbank-v2conf 100% · 138ms · $0.000 · 377 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:
Nur-Sultancorrectknowledge.fr.factbank-v2conf 100% · 153ms · $0.000 · 326 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% · 70ms · $0.000 · 273 tok
question
Identify 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% · 227ms · $0.000 · 241 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% · 90ms · $0.000 · 324 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% · 109ms · $0.000 · 347 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 100ms · $0.000 · 286 tok
question
Name the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 119ms · $0.000 · 295 tok
question
Name the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 70ms · $0.000 · 349 tok
question
What is 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:
Bernwrongknowledge.fr.factbank-v2conf 95% · 122ms · $0.000 · 1012 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:
Nur-Sultancorrectknowledge.fr.factbank-v2conf 100% · 233ms · $0.000 · 259 tok
question
What is the capital of Canada? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 136ms · $0.000 · 400 tok
question
What is the writer of the novel "One Hundred Years of Solitude"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 85ms · $0.000 · 306 tok
question
Identify the capital of Brazil. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 92ms · $0.000 · 405 tok
question
Name the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 137ms · $0.000 · 300 tok
question
What is the chemical element with symbol Sn? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 274ms · $0.000 · 332 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 100% · 82ms · $0.000 · 292 tok
question
Name the element whose symbol is K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
potassiumcorrectknowledge.fr.factbank-v2conf 100% · 166ms · $0.000 · 308 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 88ms · $0.000 · 239 tok
question
Name the author of "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2anchorconf 100% · 580ms · $0.000 · 284 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 70ms · $0.000 · 316 tok
question
Identify the Australian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2anchorconf 100% · 186ms · $0.000 · 407 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 156ms · $0.000 · 309 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 111ms · $0.000 · 322 tok
model answer:
Leadmath 28/30 correct
correctmath.counterfactual.base-v1conf 100% · 1.8s · $0.000 · 786 tok
question
Work strictly in base 7. Multiply the base-7 numbers 54 and 103. 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:
5625correctmath.chained.pipeline-v1conf 100% · 503ms · $0.000 · 472 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 22 × 34. Step 2: Q = P × 8 − 904. 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:
568correctmath.percent.chain-v2conf 100% · 57ms · $0.000 · 725 tok
question
An inventory starts at 23000 units. The delivery van has a 31-liter fuel tank. In the first month the inventory grows by 14%. A rival firm shipped 129 unrelated parcels the same week. The next month it shrinks by 44%, 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:
15417.36correctmath.arith.chain-v2conf 100% · 147ms · $0.000 · 799 tok
question
Work out the exact value of this expression. (((56 × 38 − 246) × 8 + 2600) − 11 × 84) × 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:
100392correctmath.algebra.system-v2conf 100% · 99ms · $0.000 · 347 tok
question
Solve the system, then answer the derived question. 3x + 4y = 191 5x − 5y = 50 What is the value of 4x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
63correctmath.chained.pipeline-v1conf 100% · 71ms · $0.000 · 449 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 74 × 36. Step 2: Q = P × 8 − 342. Step 3: divide Q by 3: 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:
6990correctmath.percent.chain-v2conf 100% · 67ms · $0.000 · 1395 tok
question
An inventory starts at 29000 units. The warehouse was painted 95 years ago. In the first month the inventory grows by 7%. The delivery van has a 72-liter fuel tank. The next month it shrinks by 27%, and the month after it grows by 41%. 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:
31939.18correctmath.counterfactual.base-v1conf 100% · 169ms · $0.000 · 678 tok
question
Work strictly in base 11. Multiply the base-11 numbers 6A and 34. 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:
2127correctmath.arith.chain-v2conf 100% · 81ms · $0.000 · 689 tok
question
Work out the exact value of this expression. (((85 × 36 − 388) × 6 + 5126) − 27 × 58) × 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:
39184correctmath.algebra.system-v2conf 100% · 112ms · $0.000 · 308 tok
question
Solve the system, then answer the derived question. 3x + 3y = -72 4x − 8y = 120 What is the value of 6x − 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:
36correctmath.counterfactual.base-v1conf 100% · 234ms · $0.000 · 1314 tok
question
Work strictly in base 13. Add the base-13 numbers 1025 and 2AC. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1304correctmath.chained.pipeline-v1conf 100% · 87ms · $0.000 · 509 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 16 × 71. Step 2: Q = P × 6 − 258. 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:
1093correctmath.percent.chain-v2conf 100% · 188ms · $0.000 · 1321 tok
question
An inventory starts at 89000 units. The delivery van has a 64-liter fuel tank. In the first month the inventory grows by 17%. The delivery van has a 139-liter fuel tank. The next month it shrinks by 6%, and the month after it grows by 24%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
121373.93correctmath.algebra.system-v2conf 100% · 124ms · $0.000 · 338 tok
question
Solve the system, then answer the derived question. 3x + 5y = -51 3x − 3y = 165 What is the value of 4x − 2y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
166correctmath.arith.chain-v2conf 100% · 146ms · $0.000 · 441 tok
question
Work out the exact value of this expression. (((50 × 54 − 390) × 6 + 9906) − 67 × 81) × 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:
36678correctmath.chained.pipeline-v1conf 100% · 99ms · $0.000 · 509 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 52 × 59. Step 2: Q = P × 6 − 148. 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:
3045correctmath.counterfactual.base-v1conf 100% · 222ms · $0.000 · 674 tok
question
Work strictly in base 11. Add the base-11 numbers 927 and 1052. 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:
1979wrongmath.percent.chain-v2conf 100% · 71ms · $0.000 · 948 tok
question
An inventory starts at 43000 units. The delivery van has a 84-liter fuel tank. In the first month the inventory grows by 7%. A rival firm shipped 170 unrelated parcels the same week. The next month it shrinks by 15%, and the month after it grows by 37%. 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:
53380.68correctmath.counterfactual.base-v1conf 100% · 10.0s · $0.000 · 824 tok
question
Work strictly in base 9. Multiply the base-9 numbers 48 and 107. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
5272correctmath.algebra.system-v2conf 100% · 88ms · $0.000 · 513 tok
question
Solve the system, then answer the derived question. 4x + 8y = 336 2x − 9y = -209 What is the value of 5x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
43correctmath.arith.chain-v2conf 100% · 86ms · $0.000 · 637 tok
question
Evaluate the expression below and give the result. (((73 × 95 − 321) × 8 + 2967) − 59 × 69) × 4 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
207232correctmath.chained.pipeline-v1conf 100% · 83ms · $0.000 · 510 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 41 × 51. Step 2: Q = P × 9 − 319. 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:
2060correctmath.percent.chain-v2conf 100% · 90ms · $0.000 · 1318 tok
question
An inventory starts at 80000 units. The warehouse was painted 177 years ago. In the first month the inventory grows by 19%. The delivery van has a 53-liter fuel tank. The next month it shrinks by 5%, and the month after it grows by 43%. 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:
129329.2wrongmath.percent.chain-v2anchorconf 100% · 1.8s · $0.001 · 3408 tok
model answer:
61638.86correctmath.algebra.system-v2conf 100% · 71ms · $0.000 · 1493 tok
question
Solve the system, then answer the derived question. 6x + 8y = 84 7x − 3y = -346 What is the value of 3x − 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:
-246correctmath.chained.pipeline-v1conf 100% · 4.0s · $0.000 · 582 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 68 × 71. Step 2: Q = P × 8 − 141. 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:
5501correctmath.arith.chain-v2conf 100% · 490ms · $0.000 · 620 tok
question
Compute the value of the following expression. (((62 × 40 − 853) × 7 + 3022) − 92 × 24) × 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:
85421correctmath.counterfactual.base-v1anchorconf 100% · 81ms · $0.000 · 1120 tok
model answer:
11236correctmath.arith.chain-v2anchorconf 100% · 777ms · $0.000 · 747 tok
model answer:
108153correctmath.algebra.system-v2anchorconf 100% · 458ms · $0.000 · 328 tok
model answer:
87multilingual 29/30 correct
correctmultilingual.numword-v2conf 100% · 80ms · $0.000 · 1131 tok
question
Compute 81 + 104, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ciento ochenta y cincocorrectmultilingual.wordnum-v1conf 100% · 123ms · $0.000 · 305 tok
question
A number is written in French: « sept cents ». Another is written in Spanish: « cuatrocientos ochenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
211wrongmultilingual.numword-v2conf 100% · 82ms · $0.000 · 1353 tok
question
Compute 130 + 391, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos veintunocorrectmultilingual.wordnum-v1conf 100% · 68ms · $0.000 · 924 tok
question
A number is written in French: « deux cent quatre-vingt-onze ». Another is written in Spanish: « cuarenta y dos ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
249correctmultilingual.numword-v2conf 100% · 137ms · $0.000 · 268 tok
question
Compute 312 + 355, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos sesenta y sietecorrectmultilingual.wordnum-v1conf 100% · 79ms · $0.000 · 307 tok
question
A number is written in French: « quatre cent soixante-sept ». Another is written in Spanish: « trescientos veintidós ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
789correctmultilingual.wordnum-v1conf 100% · 67ms · $0.000 · 482 tok
question
A number is written in French: « sept cent soixante-quatorze ». Another is written in Spanish: « treinta y tres ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
741correctmultilingual.wordnum-v1conf 100% · 113ms · $0.000 · 342 tok
question
A number is written in French: « quatre cent vingt-cinq ». Another is written in Spanish: « setenta y uno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
354correctmultilingual.numword-v2conf 100% · 116ms · $0.000 · 307 tok
question
Compute 311 + 208, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent dix-neufcorrectmultilingual.wordnum-v1conf 100% · 63ms · $0.000 · 989 tok
question
A number is written in French: « trois cent quinze ». Another is written in Spanish: « ochocientos trece ». 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:
-498correctmultilingual.numword-v2conf 100% · 113ms · $0.000 · 401 tok
question
Compute 439 + 50, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos ochenta y nuevecorrectmultilingual.numword-v2conf 100% · 126ms · $0.000 · 474 tok
question
Compute 395 + 100, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quatre-vingt-quinzecorrectmultilingual.wordnum-v1conf 100% · 331ms · $0.000 · 1769 tok
question
A number is written in French: « six cent soixante-deux ». Another is written in Spanish: « novecientos 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:
-315correctmultilingual.wordnum-v1conf 100% · 82ms · $0.000 · 713 tok
question
A number is written in French: « soixante-trois ». Another is written in Spanish: « trescientos cuarenta y uno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-278correctmultilingual.numword-v2conf 100% · 57ms · $0.000 · 287 tok
question
Compute 244 + 393, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent trente-septcorrectmultilingual.numword-v2conf 100% · 56ms · $0.000 · 326 tok
question
Compute 118 + 155, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos setenta y trescorrectmultilingual.numword-v2conf 100% · 139ms · $0.000 · 497 tok
question
Compute 71 + 292, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trois cent soixante-troiscorrectmultilingual.wordnum-v1conf 100% · 56ms · $0.000 · 292 tok
question
A number is written in French: « huit cent soixante-quatorze ». Another is written in Spanish: « setecientos setenta 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:
100correctmultilingual.wordnum-v1conf 100% · 215ms · $0.000 · 406 tok
question
A number is written in French: « cent soixante-dix ». Another is written in Spanish: « cuatrocientos sesenta 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:
637correctmultilingual.numword-v2conf 100% · 63ms · $0.000 · 1331 tok
question
Compute 72 + 352, 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 vingt-quatrecorrectmultilingual.numword-v2conf 100% · 158ms · $0.000 · 382 tok
question
Compute 474 + 116, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent quatre-vingt-dixcorrectmultilingual.wordnum-v1conf 100% · 61ms · $0.000 · 415 tok
question
A number is written in French: « deux cent cinquante-sept ». Another is written in Spanish: « cuatrocientos treinta 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:
695correctmultilingual.numword-v2conf 100% · 140ms · $0.000 · 994 tok
question
Compute 106 + 356, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent soixante-deuxcorrectmultilingual.wordnum-v1conf 100% · 140ms · $0.000 · 420 tok
question
A number is written in French: « trois cent quatre-vingt-douze ». Another is written in Spanish: « ochenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
481correctmultilingual.wordnum-v1conf 100% · 81ms · $0.000 · 482 tok
question
A number is written in French: « trois cent trente et un ». Another is written in Spanish: « doscientos cuarenta y siete ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
84correctmultilingual.numword-v2conf 100% · 213ms · $0.000 · 363 tok
question
Compute 187 + 349, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quinientos treinta y seiscorrectmultilingual.wordnum-v1anchorconf 100% · 103ms · $0.000 · 453 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 87ms · $0.000 · 308 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.wordnum-v1anchorconf 100% · 232ms · $0.000 · 369 tok
model answer:
762correctmultilingual.numword-v2anchorconf 100% · 211ms · $0.000 · 233 tok
model answer:
seiscientos ochoreasoning 30/30 correct
correctreasoning.deduction.order-v2conf 100% · 150ms · $0.000 · 1271 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Nadir. Chen is heavier than Alice. Hana is heavier than Nadir. Emil is heavier than Dara. Tessa is taller than everyone here, but Tessa is not being ranked. Goran is heavier than Hana. Emil is heavier than Alice. Dara is heavier than Chen. Alice is heavier than Goran. Alice is heavier than Nadir. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 581ms · $0.000 · 506 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Ines. Alice is directly ahead of Mona. Bruno is number 4 in the queue. Ines is directly ahead of Bruno. 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:
Inescorrectreasoning.deduction.order-v2conf 100% · 73ms · $0.000 · 1291 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Tessa is faster than Priya. Emil is faster than Ines. Mona is taller than everyone here, but Mona is not being ranked. Priya is faster than Ines. Priya is faster than Emil. Goran is faster than Bruno. Priya is faster than Liam. Priya is faster than Ines. Liam is faster than Emil. Bruno is faster than Tessa. 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:
Tessacorrectreasoning.deduction.position-v1conf 100% · 753ms · $0.000 · 348 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 3 in the queue. Goran is directly ahead of Farah. Jonas is directly ahead of Goran. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.order-v2conf 100% · 223ms · $0.000 · 1237 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Mona is taller than Sami. Rosa is taller than Mona. Sami is taller than Bruno. Goran is older than everyone here, but Goran is not being ranked. Rosa is taller than Bruno. Kira is taller than Bruno. Bruno is taller than Ines. Kira is taller than Liam. Rosa is taller than Sami. Liam is taller than Rosa. 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:
Liamcorrectreasoning.deduction.order-v2conf 100% · 2.6s · $0.000 · 1011 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Quinn. Hana is older than Nadir. Hana is older than Goran. Liam is older than Nadir. Hana is older than Farah. Alice is taller than everyone here, but Alice is not being ranked. Nadir is older than Farah. Goran is older than Liam. Bruno is older than Goran. Bruno is older than Hana. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 1.7s · $0.000 · 581 tok
question
Four people stand in a queue (number 1 is the front). Ola is number 2 in the queue. Jonas is directly ahead of Dara. Rosa is directly ahead of Ola. 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:
Rosacorrectreasoning.deduction.position-v1conf 100% · 78ms · $0.000 · 676 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Nadir. Bruno is number 4 in the queue. Nadir is directly ahead of Ines. Ines is directly ahead of Bruno. 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:
Brunocorrectreasoning.deduction.position-v1conf 100% · 1.2s · $0.000 · 738 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Mona. Ines is number 1 in the queue. Mona is directly ahead of Priya. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.order-v2conf 100% · 109ms · $0.000 · 837 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Dara. Mona is older than Ines. Farah is older than Hana. Dara is older than Mona. Rosa is taller than everyone here, but Rosa is not being ranked. Jonas is older than Farah. Dara is older than Hana. Alice is older than Jonas. Ines is older than Hana. Jonas is older than Ines. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.order-v2conf 100% · 112ms · $0.000 · 1354 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Goran is heavier than Priya. Jonas is older than everyone here, but Jonas is not being ranked. Rosa is heavier than Bruno. Priya is heavier than Rosa. Chen is heavier than Goran. Rosa is heavier than Farah. Goran is heavier than Liam. Farah is heavier than Liam. Bruno is heavier than Liam. Bruno is heavier than Farah. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Priyacorrectreasoning.deduction.position-v1conf 100% · 102ms · $0.000 · 401 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 4 in the queue. Goran is directly ahead of Sami. Emil is directly ahead of Priya. Priya is directly ahead of Goran. 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 100% · 66ms · $0.000 · 2151 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Hana. Ines is taller than Rosa. Jonas is taller than Goran. Goran is taller than Alice. Goran is taller than Farah. Mona is heavier than everyone here, but Mona is not being ranked. Hana is taller than Alice. Alice is taller than Ines. Hana is taller than Ines. Alice is taller 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:
Alicecorrectreasoning.deduction.position-v1conf 100% · 62ms · $0.000 · 520 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 4 in the queue. Goran is directly ahead of Mona. Sami is directly ahead of Ines. Mona is directly ahead of Sami. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.order-v2conf 100% · 209ms · $0.000 · 1529 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is heavier than Sami. Hana is heavier than Ines. Ines is heavier than Nadir. Jonas is heavier than Ines. Sami is heavier than Hana. Hana is heavier than Jonas. Hana is heavier than Nadir. Ola is taller than everyone here, but Ola is not being ranked. Farah is heavier than Chen. Sami is heavier than Nadir. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chencorrectreasoning.deduction.position-v1conf 100% · 124ms · $0.000 · 809 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Hana. Mona is directly ahead of Goran. Tessa is number 1 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.order-v2conf 100% · 120ms · $0.000 · 929 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Priya. Jonas is heavier than everyone here, but Jonas is not being ranked. Farah is faster than Goran. Priya is faster than Farah. Farah is faster than Sami. Farah is faster than Goran. Mona is faster than Ola. Nadir is faster than Mona. Sami is faster than Goran. Farah is faster than Goran. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Samicorrectreasoning.deduction.position-v1conf 100% · 112ms · $0.000 · 280 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 3 in the queue. Dara is directly ahead of Emil. Farah is directly ahead of Dara. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.order-v2conf 100% · 243ms · $0.000 · 1422 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is taller than Dara. Ines is taller than Priya. Dara is taller than Bruno. Priya is taller than Mona. Goran is taller than Bruno. Quinn is taller than Mona. Quinn is taller than Bruno. Alice is older than everyone here, but Alice is not being ranked. Mona is taller than Goran. Priya is taller than Quinn. 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:
Gorancorrectreasoning.deduction.position-v1conf 100% · 209ms · $0.000 · 594 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Alice. Bruno is number 4 in the queue. Ola is directly ahead of Mona. Alice is directly ahead of Bruno. 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:
Brunocorrectreasoning.deduction.position-v1conf 100% · 9.4s · $0.000 · 783 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Jonas. Jonas is directly ahead of Sami. Ola is number 1 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Quinncorrectreasoning.deduction.position-v1conf 100% · 164ms · $0.000 · 540 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 1 in the queue. Ola is directly ahead of Priya. Hana is directly ahead of Ola. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.order-v2conf 100% · 1.3s · $0.000 · 1149 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Kira. Nadir is older than Kira. Tessa is older than Priya. Chen is older than Alice. Alice is older than Nadir. Alice is older than Tessa. Hana is older than Priya. Kira is older than Hana. Tessa is older than Nadir. Quinn is heavier than everyone here, but Quinn is not being ranked. 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:
Alicecorrectreasoning.deduction.order-v2conf 100% · 128ms · $0.000 · 2154 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Sami. Chen is heavier than Liam. Ines is heavier than Alice. Nadir is older than everyone here, but Nadir is not being ranked. Chen is heavier than Alice. Liam is heavier than Goran. Sami is heavier than Liam. Ines is heavier than Chen. Alice is heavier than Jonas. Ines is heavier than Jonas. 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:
Jonascorrectreasoning.deduction.order-v2anchorconf 100% · 166ms · $0.000 · 1419 tok
model answer:
Monacorrectreasoning.deduction.position-v1conf 100% · 77ms · $0.000 · 647 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Liam. Chen is number 1 in the queue. Liam 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 100% · 66ms · $0.000 · 1145 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Rosa is older than everyone here, but Rosa is not being ranked. Nadir is faster than Mona. Dara is faster than Ines. Mona is faster than Ola. Ola is faster than Dara. Quinn is faster than Ines. Nadir is faster than Mona. Nadir is faster than Quinn. Liam is faster than Nadir. Quinn is faster than Mona. 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:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 115ms · $0.000 · 561 tok
model answer:
Quinncorrectreasoning.deduction.order-v2anchorconf 100% · 162ms · $0.000 · 996 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 89ms · $0.000 · 424 tok
model answer:
Farahterminal 4/30 correct
truncatedterminal.fs.tree-v1conf — · 261ms · $0.003 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/conf`): ``` /proj/conf/main.txt /proj/conf/report.log /proj/conf/setup.txt /proj/index.log /proj/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch docs/todo-2.txt mv conf/setup.txt conf/notes-1.log rm index.log mkdir -p docs/assets-8 mv todo.cfg notes-9.cfg mkdir -p docs-1 touch docs/assets-8/todo-6.txt cd docs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 83ms · $0.001 · 4868 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/docs`): ``` /proj/conf/index.log /proj/conf/setup.cfg /proj/docs/notes.cfg /proj/draft.cfg /proj/main.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm docs/notes.cfg touch docs/index-5.cfg mv draft.cfg ./ cd . mkdir -p conf/src-5 cp conf/index.log src/ touch conf/src-5/util-5.log rm conf/setup.cfg cp draft.cfg conf/src-5/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 1.1s · $0.000 · 1609 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 test -f data.txt && echo A || echo B test -f app.txt && echo C || echo D true && echo E || echo F test -f data.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)truncatedterminal.fs.tree-v1conf — · 169ms · $0.003 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/logs`): ``` /proj/conf/index.txt /proj/conf/notes.md /proj/logs/main.md /proj/report.cfg /proj/setup.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 setup.md mkdir -p conf/conf-4 cp conf/notes.md logs/ cp conf/notes.md src/ mv logs/main.md logs/draft-8.cfg cd logs mkdir -p ../../proj/src/build-4 cd ../../proj/conf/conf-4 rm ../../../proj/report.cfg mv ../../../proj/logs/draft-8.cfg ../../../proj/logs/notes-3.cfg cd ../../../proj/logs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 1.4s · $0.000 · 1746 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ivy,hr,100,32 gus,sales,7,61 dev,hr,104,68 eli,hr,13,19 ned,eng,49,64 bo,ops,104,61 max,legal,26,27 hal,legal,109,61 oli,hr,90,67 jon,hr,84,14 kim,eng,30,75 pam,sales,89,14 lou,hr,105,45 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 767ms · $0.000 · 1812 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh grep -q basil notes.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D 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:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 104ms · $0.000 · 1943 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` eli,hr,54,96 gus,hr,114,41 max,hr,85,29 cy,eng,27,13 ned,legal,60,90 fay,hr,114,64 oli,hr,23,62 jon,ops,90,65 hal,hr,67,84 kim,hr,67,99 bo,eng,83,48 ivy,legal,77,11 ana,hr,58,17 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 1.1s · $0.000 · 1015 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, dune (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B grep -q coral notes.txt && echo C || echo D test -f data.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)truncatedterminal.fs.tree-v1conf — · 171ms · $0.003 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/conf`, `/proj/src`): ``` /proj/conf/util.log /proj/index.md /proj/src/notes.txt /proj/src/report.log /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch src/notes-4.txt mkdir -p logs/assets-3 cd conf mkdir -p ../../proj/src/build-8 mkdir -p logs-6 touch logs-6/index-9.md mv ../../proj/src/notes-4.txt ../../proj/src/build-8/ cp ../../proj/src/notes.txt ../../proj/logs/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 835ms · $0.000 · 2344 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` cy,ops,106,81 kim,legal,98,76 jon,hr,48,70 lou,hr,43,33 oli,ops,119,73 eli,eng,95,58 fay,ops,59,17 dev,hr,57,42 hal,sales,11,15 ned,ops,105,17 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.fs.tree-v1conf 99% · 107ms · $0.001 · 3680 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/docs`, `/proj/logs`): ``` /proj/docs/index.log /proj/logs/util.cfg /proj/main.cfg /proj/report.md /proj/src/notes.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv main.cfg ./ cd . rm docs/index.log rm logs/util.cfg cd logs touch setup-5.log rm ../../proj/report.md cd ../../proj/docs touch index-9.cfg mv ../../proj/src/notes.log ../../proj/src/util-2.md cd ../../proj/logs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/docs/index-9.cfg
/proj/logs/setup-5.log
/proj/main.cfg
/proj/src/util-2.mdwrongterminal.exit.chain-v1conf 100% · 69ms · $0.000 · 1381 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, coral (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 ghost.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 1.0s · $0.000 · 2097 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,eng,64,31 fay,sales,113,10 ana,eng,34,96 oli,ops,69,71 ivy,eng,90,90 hal,ops,99,61 eli,sales,96,27 cy,legal,27,82 max,legal,24,40 bo,eng,60,45 gus,eng,34,21 kim,legal,92,72 jon,eng,13,38 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 87ms · $0.000 · 1768 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 test -f data.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:0wrongterminal.pipeline.predict-v1conf 100% · 80ms · $0.000 · 1387 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ana,hr,22,28
pam,ops,76,47
jon,ops,6,49
bo,hr,111,86
cy,hr,45,73
dev,eng,60,94
ivy,sales,119,90
eli,legal,7,39
kim,sales,33,42
max,eng,56,69
lou,eng,60,91
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 51 { 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.fs.tree-v1conf 95% · 2.1s · $0.001 · 4194 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/assets`, `/proj/conf`): ``` /proj/build/util.log /proj/conf/main.md /proj/conf/todo.cfg /proj/index.txt /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 mv report.txt report-2.cfg mv build/util.log build/report-5.log cd assets cd ../../proj/conf mkdir -p ../../proj/build/src-5 mv main.md main-2.log touch ../../proj/build/src-5/notes-8.cfg cd ../../proj ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 93ms · $0.001 · 2601 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.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 dune notes.txt && echo A || echo B grep -q amber notes.txt && echo C || echo D grep -q basil notes.txt && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)truncatedterminal.pipeline.predict-v1conf — · 75ms · $0.003 · 16384 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
bo,hr,37,56
cy,hr,104,14
hal,sales,48,64
fay,legal,9,12
jon,ops,86,36
dev,ops,34,86
eli,hr,34,86
pam,sales,80,69
gus,hr,28,79
lou,eng,49,70
kim,ops,38,56
ivy,eng,116,58
oli,legal,15,98
ana,sales,27,97
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 74ms · $0.000 · 918 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
jon,sales,12,20
lou,ops,114,84
ana,eng,98,73
kim,hr,34,11
max,sales,37,78
bo,legal,3,74
gus,legal,29,96
ned,hr,75,83
hal,ops,99,69
pam,hr,113,21
cy,ops,5,22
dev,eng,61,27
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 68 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)correctterminal.exit.chain-v1conf 100% · 76ms · $0.000 · 1552 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 grep -q dune notes.txt && echo A || echo B grep -q coral notes.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F true && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
F
G
exit:1wrongterminal.fs.tree-v1conf 98% · 85ms · $0.000 · 2077 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/assets`): ``` /proj/assets/todo.cfg /proj/draft.md /proj/logs/main.log /proj/logs/setup.cfg /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv assets/todo.cfg assets/setup-3.md mkdir -p logs/build-3 touch build/report-4.txt touch logs/build-3/setup-8.cfg rm logs/setup.cfg touch logs/build-3/report-5.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 125ms · $0.000 · 1245 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,legal,120,70
max,eng,35,14
cy,eng,101,57
bo,eng,13,23
kim,sales,104,29
ana,legal,48,39
gus,legal,62,38
eli,eng,29,12
jon,ops,42,82
```
What is the EXACT stdout of this command?
```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 47 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongterminal.fs.tree-v1conf 98% · 164ms · $0.001 · 4618 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`): ``` /proj/assets/todo.txt /proj/assets/util.txt /proj/docs/index.txt /proj/main.txt /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 mv assets/util.txt assets/ cd build mv ../../proj/assets/todo.txt ../../proj/assets/notes-3.txt mkdir -p ../../proj/conf-9 touch ../../proj/docs/main-5.txt touch ../../proj/assets/main-2.md cd . mv ../../proj/report.cfg ../../proj/docs/ cd . cp ../../proj/docs/index.txt ../../proj/ rm ../../proj/docs/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:
(none extracted)wrongterminal.exit.chain-v1conf 100% · 212ms · $0.000 · 1088 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F true && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctterminal.fs.tree-v1conf 100% · 68ms · $0.001 · 4902 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/docs`): ``` /proj/conf/index.log /proj/docs/setup.log /proj/docs/util.cfg /proj/main.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 mkdir -p logs-7 cd assets mv ../../proj/conf/index.log ../../proj/logs-7/ mkdir -p ../../proj/docs/assets-3 mkdir -p ../../proj/docs/assets-3/docs-2 touch ../../proj/conf/draft-2.md cd ../../proj/docs touch ../../proj/assets/draft-8.cfg cd . touch ../../proj/logs-7/draft-4.txt mkdir -p assets-3/docs-2/assets-8 ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft-8.cfg
/proj/conf/draft-2.md
/proj/docs/setup.log
/proj/docs/util.cfg
/proj/logs-7/draft-4.txt
/proj/logs-7/index.log
/proj/main.log
/proj/report.cfgwrongterminal.exit.chain-v1conf 100% · 124ms · $0.000 · 1261 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, basil (one per line). No other files exist. These statements run in order: ```sh grep -q amber notes.txt && echo A || echo B false && echo C || echo D grep -q coral notes.txt && echo E || echo F test -f app.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1anchorconf 100% · 101ms · $0.001 · 5225 tok
model answer:
(none extracted)wrongterminal.exit.chain-v1anchorconf 100% · 65ms · $0.000 · 1585 tok
model answer:
(none extracted)wrongterminal.fs.tree-v1anchorconf 99% · 186ms · $0.001 · 2974 tok
model answer:
(none extracted)wrongterminal.pipeline.predict-v1anchorconf 100% · 96ms · $0.000 · 1984 tok
model answer:
(none extracted)Run history
- 2026-08-05v0.2.0index_fit719
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