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Global Index

700

95% CI [649751] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic285 [240331]
0.0840.500.100.000800ms$1.10
instruction following715 [578852]
0.6780.820.940.077784ms$0.269
knowledge575 [427723]
0.4690.930.900.115738ms$0.066
math831 [673988]
0.7230.980.990.000772ms$0.243
multilingual819 [654983]
0.6981.001.000.000894ms$0.098
reasoning852 [709996]
0.7590.980.990.000762ms$0.276
terminal824 [717932]
0.7350.940.920.000807ms$0.547

Every answer, every test

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agentic 2/30 correct
wrongagentic.tools.ledger-v1conf 100% · 123ms · $0.001 · 1767 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: $846
- tango: $390
- echo: $426

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $416 from "tango" to "delta"
2. pay $427 from "delta" to "tango"
3. pay $319 from "tango" to "delta"
4. pay $317 from "tango" to "delta"
5. pay $249 from "tango" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1conf 100% · 955ms · $0.006 · 14494 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 (275 records, format: id|customer|region|item|qty|status):
```
1839|gale|west|frame|66|paid
1964|juno|north|cable|10|paid
1543|ember|north|valve|41|shipped
1642|gale|south|cable|77|shipped
2091|gale|east|valve|61|paid
2306|fulton|north|rotor|81|pending
2147|dorian|east|panel|90|pending
1827|ember|east|cable|84|held
1806|fulton|west|rotor|82|paid
1759|juno|south|cable|54|pending
2232|juno|east|frame|95|paid
1485|acme|east|rotor|57|held
1418|cobalt|west|sensor|40|held
2401|dorian|east|pump|22|shipped
2055|birch|south|valve|96|shipped
1707|juno|north|sensor|66|shipped
1775|ionic|west|sensor|43|paid
2247|fulton|north|sensor|10|shipped
2073|ionic|south|frame|54|paid
2281|ember|west|cable|34|held
1772|harbor|east|cable|44|pending
2518|ember|north|panel|37|shipped
2114|acme|west|valve|58|held
1676|acme|south|cable|47|pending
1495|birch|east|gasket|13|paid
2061|juno|west|cable|75|held
1886|ember|south|panel|28|shipped
1493|acme|south|valve|90|paid
1779|gale|north|pump|51|held
2292|ember|west|cable|22|shipped
1567|birch|east|valve|23|held
1658|juno|south|pump|58|held
1946|cobalt|north|gasket|92|paid
2199|juno|west|valve|55|shipped
2140|harbor|east|valve|49|pending
1784|harbor|west|rotor|15|held
2377|dorian|north|panel|41|pending
2086|acme|north|frame|55|paid
2444|ionic|north|gasket|43|paid
1764|dorian|south|sensor|29|held
2393|ember|west|gasket|34|held
1544|fulton|north|frame|68|held
2374|gale|east|panel|64|paid
2291|birch|west|rotor|95|paid
1532|gale|east|panel|59|paid
2184|gale|east|cable|57|paid
1428|cobalt|west|cable|52|paid
2270|acme|west|frame|15|held
1754|juno|west|gasket|31|shipped
2516|birch|south|cable|39|pending
2148|juno|north|sensor|24|shipped
2510|gale|west|valve|50|pending
2016|ember|east|panel|32|pending
1589|acme|north|valve|72|shipped
2370|birch|south|cable|94|held
1990|birch|west|gasket|48|paid
1968|acme|north|gasket|96|paid
2402|ionic|north|valve|22|held
1408|cobalt|west|pump|77|pending
1870|birch|north|valve|64|held
2111|birch|south|cable|89|pending
2157|ionic|south|panel|44|shipped
2415|fulton|east|pump|71|pending
2461|cobalt|west|cable|36|held
2500|dorian|north|gasket|42|held
2171|birch|west|panel|72|paid
1984|harbor|south|gasket|37|pending
1728|juno|east|sensor|20|paid
1848|ember|north|cable|33|pending
2193|juno|east|panel|85|held
2026|cobalt|west|gasket|65|pending
2170|ionic|west|pump|32|shipped
1879|dorian|east|pump|63|held
1507|fulton|south|rotor|93|pending
1700|acme|east|sensor|27|paid
1720|fulton|east|rotor|27|paid
2221|acme|south|gasket|56|pending
1578|ember|west|valve|16|shipped
1511|fulton|west|rotor|46|pending
1420|cobalt|west|gasket|37|pending
2302|harbor|east|frame|26|held
2268|fulton|south|panel|64|pending
2070|fulton|north|sensor|91|pending
1826|juno|south|frame|13|shipped
1535|juno|west|cable|97|paid
1914|ember|west|pump|41|held
1655|juno|east|gasket|37|held
1996|dorian|south|panel|96|pending
1981|ionic|north|cable|87|held
1868|fulton|west|frame|49|pending
2110|cobalt|east|pump|55|paid
1606|dorian|east|valve|31|shipped
2426|gale|south|valve|73|shipped
1850|gale|south|pump|56|paid
2351|cobalt|north|cable|98|pending
2472|juno|north|valve|72|pending
1604|cobalt|north|rotor|16|held
2228|dorian|north|sensor|61|shipped
1441|cobalt|south|gasket|83|pending
1638|juno|south|panel|26|held
1459|cobalt|south|rotor|50|pending
1731|dorian|west|panel|15|held
2489|ember|north|rotor|29|held
2488|fulton|north|frame|13|shipped
1568|juno|south|gasket|67|held
1819|juno|north|gasket|93|pending
1637|ember|south|frame|15|pending
1800|ember|west|panel|62|paid
1790|ionic|west|frame|91|shipped
2479|harbor|west|panel|71|shipped
1953|ionic|east|rotor|59|held
1649|fulton|west|cable|90|shipped
1679|dorian|west|panel|63|held
1566|cobalt|south|rotor|83|held
1797|harbor|west|valve|35|shipped
1393|cobalt|west|sensor|86|pending
2038|fulton|north|panel|12|shipped
1712|harbor|west|gasket|21|held
1709|ionic|south|frame|30|shipped
2217|acme|south|pump|20|paid
2182|gale|west|gasket|74|paid
2275|ember|east|rotor|46|paid
2162|birch|west|valve|35|held
1874|harbor|east|frame|47|paid
2125|cobalt|north|sensor|89|pending
1553|birch|south|cable|14|paid
1670|ionic|west|cable|77|paid
1958|acme|east|sensor|52|paid
1471|ionic|south|sensor|65|paid
1921|ionic|east|rotor|17|paid
2358|fulton|north|sensor|58|shipped
2328|juno|north|sensor|19|pending
2154|gale|north|pump|91|pending
1856|harbor|south|panel|66|shipped
2307|ionic|west|valve|25|held
1927|acme|west|panel|43|paid
2164|juno|north|pump|34|shipped
2020|ionic|west|gasket|93|held
2326|ionic|south|pump|43|pending
2242|acme|east|gasket|79|held
2383|harbor|south|cable|32|paid
1690|acme|south|gasket|86|held
2207|dorian|east|panel|86|held
2050|ionic|west|sensor|64|paid
1736|acme|south|gasket|79|pending
2321|gale|south|cable|86|paid
2333|ember|north|valve|55|shipped
2340|juno|west|cable|29|held
1745|juno|west|sensor|51|pending
1768|dorian|west|rotor|32|shipped
1536|dorian|east|sensor|47|paid
2413|ember|east|sensor|83|paid
1399|cobalt|east|sensor|56|pending
2003|dorian|south|gasket|72|shipped
2262|birch|east|cable|41|shipped
2421|ionic|north|cable|25|shipped
1861|dorian|west|cable|41|shipped
1893|gale|west|pump|52|shipped
1725|gale|south|panel|21|shipped
1846|cobalt|west|gasket|35|pending
2469|acme|east|sensor|60|pending
1562|ionic|north|frame|27|held
2009|fulton|east|pump|75|shipped
2272|dorian|west|panel|17|held
2190|harbor|west|pump|89|held
2119|birch|north|gasket|92|paid
2397|dorian|north|gasket|29|paid
1583|acme|south|cable|60|pending
1546|juno|south|frame|59|pending
2437|dorian|east|gasket|24|paid
1859|gale|west|frame|77|pending
2033|juno|north|gasket|96|shipped
1916|birch|east|panel|68|pending
1445|cobalt|west|sensor|81|paid
2206|acme|south|pump|17|shipped
2477|acme|east|sensor|59|pending
1598|harbor|south|panel|26|paid
1982|dorian|north|pump|46|shipped
1630|birch|south|sensor|61|shipped
2214|juno|east|rotor|72|pending
2041|ember|west|frame|55|paid
2136|fulton|south|sensor|68|pending
2463|ember|south|rotor|55|paid
1514|harbor|west|sensor|59|held
2365|harbor|north|frame|71|held
1974|harbor|south|valve|41|pending
2288|cobalt|north|gasket|73|held
1787|cobalt|south|cable|35|held
1694|harbor|west|gasket|41|paid
1525|dorian|north|gasket|22|held
2407|dorian|west|sensor|30|shipped
1986|gale|north|rotor|93|pending
1903|gale|south|cable|21|pending
2490|harbor|west|panel|23|held
1591|ionic|south|pump|48|paid
2345|fulton|east|frame|47|pending
1928|acme|west|valve|40|held
1555|juno|east|pump|50|paid
1469|acme|north|panel|28|pending
1478|ionic|south|valve|91|shipped
1615|juno|east|gasket|67|paid
1499|cobalt|west|rotor|62|paid
1729|juno|north|frame|78|paid
1931|harbor|north|gasket|38|held
1519|dorian|west|pump|53|paid
1452|cobalt|west|panel|38|pending
2303|birch|north|gasket|93|pending
2252|fulton|south|pump|35|pending
2449|ember|west|pump|53|held
1628|juno|east|sensor|60|shipped
2235|fulton|west|rotor|47|paid
1816|ember|east|sensor|23|pending
2079|birch|east|rotor|89|paid
2006|cobalt|east|panel|86|shipped
2096|ionic|south|rotor|72|held
1462|cobalt|west|rotor|47|paid
2104|gale|south|frame|76|paid
2384|dorian|east|cable|16|shipped
1939|ember|north|valve|57|paid
2129|gale|west|cable|43|shipped
1906|gale|north|valve|14|paid
2318|ember|east|gasket|87|shipped
2354|ember|east|gasket|71|paid
1750|gale|north|gasket|81|held
2366|fulton|west|valve|13|pending
1808|cobalt|west|rotor|68|pending
1573|gale|west|cable|33|paid
2493|juno|west|rotor|22|shipped
1740|ionic|north|sensor|39|paid
2103|ionic|south|rotor|35|paid
1411|cobalt|east|rotor|32|pending
1663|gale|south|gasket|59|shipped
1435|cobalt|west|cable|18|pending
2388|cobalt|east|pump|50|shipped
1691|ionic|east|rotor|99|paid
1833|cobalt|north|sensor|17|held
1829|fulton|east|frame|65|held
1681|dorian|east|valve|71|shipped
1613|cobalt|north|frame|68|paid
1717|harbor|north|pump|18|pending
1506|acme|north|frame|52|paid
2451|acme|east|panel|89|pending
1403|cobalt|west|cable|43|held
1742|dorian|east|frame|84|shipped
2398|acme|south|rotor|66|pending
1422|cobalt|south|frame|98|pending
2256|fulton|north|gasket|87|shipped
2066|acme|west|valve|22|shipped
1625|acme|north|gasket|33|shipped
2455|acme|west|frame|32|paid
1489|gale|south|cable|38|held
1894|gale|east|sensor|27|pending
1913|ionic|south|panel|31|pending
2484|cobalt|west|panel|13|pending
2505|dorian|south|sensor|61|shipped
2178|acme|east|gasket|33|pending
1815|acme|south|sensor|78|paid
2385|ember|south|panel|52|shipped
1474|gale|west|frame|92|held
1934|ember|east|frame|94|paid
1891|acme|north|panel|83|pending
1587|cobalt|south|pump|24|shipped
1622|birch|west|pump|35|paid
1899|cobalt|west|valve|41|paid
1683|juno|south|panel|29|held
2030|fulton|east|valve|39|pending
2329|harbor|north|rotor|56|shipped
2065|juno|north|panel|31|shipped
2049|juno|east|panel|78|held
2313|fulton|south|cable|27|shipped
2432|gale|north|sensor|51|paid
2044|birch|east|panel|63|paid
1711|ember|north|sensor|91|held
2296|birch|north|sensor|22|held
1818|birch|south|panel|70|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.triage-v1conf 98% · 787ms · $0.001 · 1564 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 → chen
- infra → dubois
- auth → tanaka

INCIDENTS:
1. "records missing after import" (category: data, priority 3)
2. "uploads failing intermittently" (category: infra, priority 8)
3. "SSO loop on login" (category: auth, priority 2)
4. "uploads failing intermittently" (category: infra, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.deploy-v1conf 100% · 172ms · $0.000 · 735 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: auth-svc
- notifier: auth-svc
- reports: gateway
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf 100% · 124ms · $0.001 · 1250 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: $399
- kilo: $735
- tango: $561

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $229 from "tango" to "kilo"
2. pay $137 from "tango" to "oscar"
3. pay $569 from "oscar" to "kilo"
4. pay $521 from "tango" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
truncatedagentic.tools.context-load-v1conf · 802ms · $0.007 · 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 (244 records, format: id|customer|region|item|qty|status):
```
1107|ember|west|sensor|78|pending
1820|cobalt|north|sensor|22|paid
1534|dorian|south|panel|83|paid
1951|harbor|east|frame|62|held
1978|acme|north|valve|46|paid
1185|birch|west|panel|98|pending
1816|gale|west|frame|76|shipped
1466|gale|south|pump|69|paid
1563|birch|south|frame|64|shipped
1460|harbor|north|frame|70|held
1080|ember|north|cable|77|pending
2040|acme|east|cable|63|shipped
1094|ember|east|gasket|54|pending
1386|birch|north|frame|66|shipped
1146|cobalt|north|frame|13|pending
1192|juno|south|cable|67|held
1371|cobalt|west|pump|63|paid
1364|dorian|north|gasket|47|paid
1498|cobalt|south|valve|31|paid
1961|acme|north|frame|12|paid
1859|fulton|north|gasket|93|pending
1234|cobalt|south|frame|64|shipped
1348|fulton|east|sensor|86|held
1207|dorian|east|sensor|85|held
1475|ember|north|frame|62|pending
2048|gale|west|gasket|27|shipped
1632|dorian|east|gasket|66|paid
1942|cobalt|north|pump|40|paid
1458|harbor|north|cable|39|shipped
1613|ember|west|rotor|26|held
1827|harbor|east|pump|24|paid
1360|ionic|east|rotor|90|shipped
1618|ionic|north|sensor|24|pending
1201|harbor|west|cable|45|held
1246|fulton|south|gasket|96|shipped
1069|ember|west|frame|29|pending
2055|ionic|south|pump|26|pending
1789|birch|east|gasket|51|shipped
1406|birch|west|cable|21|held
1690|dorian|south|valve|98|held
1148|harbor|south|panel|33|pending
1639|juno|west|frame|49|pending
1833|gale|south|sensor|83|shipped
1161|cobalt|east|cable|18|pending
1304|gale|north|valve|95|pending
1739|acme|west|gasket|76|paid
1404|birch|east|frame|71|shipped
1928|gale|south|pump|28|paid
1709|dorian|west|valve|20|shipped
1747|birch|east|panel|57|held
1329|fulton|west|valve|48|paid
1871|dorian|west|valve|72|shipped
1456|ionic|north|frame|49|paid
1954|acme|north|sensor|55|held
2003|harbor|north|panel|72|held
1782|juno|west|valve|83|paid
1844|fulton|east|pump|56|shipped
2038|ember|south|sensor|85|paid
1753|birch|east|rotor|89|shipped
1571|fulton|east|pump|42|shipped
1838|harbor|north|gasket|91|held
1779|gale|south|panel|96|pending
1762|ember|south|panel|36|shipped
1972|birch|west|rotor|32|pending
1852|fulton|south|panel|11|shipped
1771|ember|south|valve|28|paid
1142|harbor|east|frame|59|held
1224|birch|west|panel|30|shipped
2005|gale|west|frame|55|held
1345|acme|west|cable|78|shipped
1536|harbor|north|panel|62|held
1335|fulton|east|rotor|87|shipped
1483|juno|north|gasket|68|shipped
1607|harbor|east|sensor|26|paid
1255|harbor|east|panel|37|pending
1211|ember|north|gasket|64|pending
1358|acme|south|sensor|30|pending
1513|ionic|south|rotor|57|paid
1260|acme|north|valve|34|pending
1940|juno|south|pump|29|shipped
1933|harbor|south|sensor|64|paid
1543|gale|north|frame|11|paid
2060|fulton|south|valve|85|paid
1153|harbor|north|valve|27|pending
1710|harbor|north|frame|74|paid
1392|birch|east|gasket|11|pending
1936|ionic|east|panel|16|shipped
1217|dorian|west|pump|72|shipped
1930|juno|south|frame|12|paid
1512|juno|north|panel|36|paid
1282|birch|north|pump|31|paid
1422|cobalt|west|rotor|28|held
1656|fulton|south|pump|32|paid
1741|fulton|east|gasket|13|pending
1449|ionic|north|cable|74|pending
1913|ember|east|panel|65|pending
1949|cobalt|north|valve|40|shipped
1876|ionic|east|rotor|23|paid
1420|cobalt|north|cable|52|shipped
1428|birch|west|cable|14|paid
1679|dorian|north|gasket|35|paid
1398|gale|south|valve|25|paid
1664|gale|north|rotor|88|held
1900|gale|north|cable|36|paid
1230|cobalt|south|panel|66|paid
1445|birch|east|valve|12|shipped
1773|birch|north|gasket|46|pending
1178|gale|north|panel|36|paid
1361|dorian|east|frame|26|held
2018|ionic|east|cable|82|held
1434|cobalt|south|rotor|15|pending
1507|gale|north|cable|29|pending
1351|acme|east|valve|14|shipped
1965|birch|east|pump|48|shipped
1261|juno|south|panel|85|shipped
1847|birch|west|rotor|41|shipped
1678|ionic|north|frame|41|paid
1522|juno|north|panel|98|pending
1894|ionic|east|rotor|72|paid
1505|juno|south|frame|73|shipped
2013|harbor|south|rotor|41|held
1291|fulton|west|rotor|90|held
1556|dorian|east|panel|46|pending
1151|juno|south|valve|61|pending
1727|gale|west|rotor|86|paid
2024|juno|east|frame|46|shipped
1805|gale|east|cable|73|held
1998|juno|south|cable|29|pending
1267|fulton|east|sensor|23|pending
1716|fulton|west|gasket|42|pending
1993|dorian|south|panel|63|held
1494|gale|east|valve|48|paid
1713|birch|east|valve|43|paid
1239|ember|south|valve|47|pending
1673|harbor|west|valve|20|shipped
1119|ember|north|pump|66|pending
1277|ionic|south|rotor|74|shipped
2010|harbor|north|panel|39|paid
1691|gale|west|rotor|37|pending
1528|harbor|north|pump|98|held
1319|cobalt|west|pump|14|pending
1085|ember|east|pump|92|pending
1697|dorian|east|pump|39|held
1600|ionic|west|cable|61|shipped
1471|cobalt|north|sensor|28|shipped
1103|ember|north|valve|50|pending
1168|juno|north|cable|75|shipped
1412|ember|south|panel|17|shipped
1516|cobalt|south|panel|71|pending
1669|acme|west|rotor|60|pending
1865|juno|south|cable|33|paid
1133|ember|north|gasket|63|held
1377|ember|east|valve|93|shipped
1624|fulton|east|valve|17|shipped
1770|ionic|north|cable|89|shipped
1963|cobalt|east|frame|58|held
1154|dorian|east|panel|16|shipped
1638|fulton|north|gasket|58|pending
1702|ionic|west|pump|95|paid
1326|fulton|south|pump|23|held
1848|acme|north|gasket|15|paid
1578|ionic|south|sensor|91|shipped
1812|fulton|south|panel|90|pending
1411|fulton|east|pump|43|pending
1654|cobalt|west|gasket|52|shipped
1549|gale|west|frame|72|held
1441|birch|west|sensor|58|held
2009|ember|west|frame|53|shipped
1453|fulton|south|sensor|71|pending
1647|dorian|east|gasket|46|pending
1314|ember|east|rotor|36|pending
1113|ember|north|valve|36|held
1212|ionic|south|sensor|62|shipped
1882|ionic|north|rotor|97|paid
1964|acme|east|rotor|71|paid
1076|ember|north|rotor|81|shipped
1138|ionic|west|gasket|93|shipped
1908|cobalt|north|cable|41|shipped
1384|juno|east|frame|79|held
1597|acme|north|gasket|55|shipped
1915|gale|east|rotor|97|paid
1167|dorian|north|rotor|91|pending
1249|fulton|north|rotor|95|pending
1640|acme|south|rotor|62|shipped
1766|gale|east|pump|92|shipped
1067|ember|north|valve|31|pending
1588|harbor|north|gasket|96|shipped
1685|acme|east|valve|88|shipped
1981|ember|south|valve|32|paid
1476|dorian|south|frame|75|paid
1087|ember|north|cable|51|shipped
1309|fulton|east|sensor|27|held
1794|juno|west|panel|55|pending
1987|juno|north|pump|63|pending
1306|dorian|south|rotor|23|shipped
1562|birch|west|cable|34|shipped
1625|acme|east|rotor|77|shipped
1795|birch|west|sensor|58|paid
1457|gale|south|cable|26|held
1170|ionic|north|pump|35|held
1756|juno|south|valve|24|pending
1425|juno|west|panel|34|pending
1902|harbor|north|sensor|61|shipped
1874|ember|east|gasket|63|held
1595|fulton|north|valve|61|paid
2030|cobalt|east|cable|66|shipped
1567|fulton|west|gasket|67|paid
1164|gale|south|rotor|65|shipped
1342|juno|west|sensor|54|shipped
1490|fulton|west|valve|93|held
1372|harbor|west|panel|24|paid
1415|juno|east|gasket|28|shipped
1126|ember|east|rotor|61|pending
1294|fulton|west|cable|43|held
1658|dorian|south|gasket|84|held
1523|dorian|east|panel|49|shipped
1287|cobalt|east|rotor|36|held
1732|juno|north|sensor|15|pending
1324|ember|east|rotor|43|pending
1903|fulton|west|frame|56|shipped
2041|juno|east|frame|30|shipped
1188|fulton|north|cable|47|pending
1769|dorian|east|valve|46|paid
1177|fulton|west|pump|65|paid
1194|cobalt|west|pump|53|paid
1823|ember|east|rotor|11|paid
1089|ember|north|sensor|66|pending
1962|juno|north|panel|28|pending
1721|harbor|west|cable|97|pending
1383|birch|north|sensor|51|held
1910|harbor|north|panel|59|held
2031|dorian|south|rotor|79|shipped
1301|ember|south|rotor|33|shipped
1891|harbor|north|panel|35|pending
1834|harbor|north|rotor|36|paid
1752|ionic|north|panel|89|pending
1190|gale|north|valve|15|paid
1888|acme|east|cable|30|paid
1922|gale|east|valve|99|paid
1270|ember|south|panel|13|held
1583|cobalt|north|pump|42|pending
1484|juno|east|pump|72|shipped
1099|ember|north|valve|93|paid
1802|harbor|west|cable|57|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 40, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctagentic.tools.triage-v1conf 95% · 105ms · $0.000 · 1134 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
- payments → chen
- auth → dubois

INCIDENTS:
1. "records missing after import" (category: data, priority 9)
2. "refund double-charged" (category: payments, priority 5)
3. "refund double-charged" (category: payments, 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":9}}, {"tool":"escalate","args":{"ticket_id":"TCK-1"}}, {"tool":"assign","args":{"ticket_id":"TCK-1","agent":"haddad"}}, {"tool":"create_ticket","args":{"title":"refund double-charged","priority":5}}, {"tool":"assign","args":{"ticket_id":"TCK-2","agent":"chen"}}, {"tool":"create_ticket","args":{"title":"refund double-charged","priority":5}}, {"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-2"}} ]
wrongagentic.tools.triage-v1conf 95% · 158ms · $0.001 · 1213 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → tanaka
- payments → silva
- infra → okafor

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 8)
2. "card declined at checkout" (category: payments, priority 5)
3. "card declined at checkout" (category: payments, 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: (none extracted)
wrongagentic.tools.deploy-v1conf 95% · 819ms · $0.000 · 912 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: billing
- billing: (none)
- reports: auth-svc, billing
- auth-svc: billing, 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 "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: (none extracted)
wrongagentic.tools.ledger-v1conf 95% · 909ms · $0.001 · 1412 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: $746
- lima: $286
- oscar: $186

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $524 from "oscar" to "kilo"
2. pay $421 from "kilo" to "oscar"
3. pay $527 from "lima" to "oscar"
4. pay $419 from "kilo" to "oscar"
5. pay $600 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: (none extracted)
correctagentic.tools.triage-v1conf 95% · 132ms · $0.001 · 1306 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 → haddad
- infra → dubois
- payments → novak

INCIDENTS:
1. "records missing after import" (category: data, priority 8)
2. "records missing after import" (category: data, priority 8)
3. "invoice total wrong" (category: payments, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"create_ticket","args":{"title":"records missing after import","priority":8}}, {"tool":"escalate","args":{"ticket_id":"TCK-1"}}, {"tool":"assign","args":{"ticket_id":"TCK-1","agent":"haddad"}}, {"tool":"create_ticket","args":{"title":"records missing after import","priority":8}}, {"tool":"close_ticket","args":{"ticket_id":"TCK-2","resolution":"duplicate of TCK-1"}}, {"tool":"create_ticket","args":{"title":"invoice total wrong","priority":9}}, {"tool":"escalate","args":{"ticket_id":"TCK-3"}}, {"tool":"assign","args":{"ticket_id":"TCK-3","agent":"novak"}} ]
wrongagentic.tools.context-load-v1conf 100% · 125ms · $0.003 · 6036 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 (216 records, format: id|customer|region|item|qty|status):
```
1804|gale|north|cable|87|held
2260|cobalt|south|sensor|95|shipped
2285|fulton|north|cable|23|paid
1849|ember|east|valve|31|pending
1459|juno|north|gasket|15|held
2188|fulton|east|cable|56|held
2022|juno|north|valve|34|paid
1493|cobalt|west|cable|92|shipped
1754|harbor|west|rotor|64|shipped
1835|dorian|east|pump|51|pending
2136|ionic|west|valve|68|paid
1514|harbor|west|cable|34|paid
2008|gale|west|valve|36|paid
1847|birch|west|valve|21|paid
1819|ionic|north|gasket|86|paid
1840|birch|east|frame|81|paid
2014|dorian|east|sensor|95|paid
1684|acme|north|pump|78|pending
2268|harbor|west|frame|46|held
1544|ionic|east|frame|90|pending
2064|harbor|west|frame|66|paid
1906|juno|north|frame|93|paid
1930|ionic|south|sensor|23|pending
1488|gale|east|pump|36|pending
2300|gale|west|cable|66|held
1733|cobalt|north|rotor|53|pending
1858|fulton|south|valve|58|held
2098|ionic|north|valve|95|shipped
1601|gale|south|valve|94|paid
1471|juno|north|pump|97|paid
1901|juno|east|sensor|43|shipped
1913|juno|north|cable|32|paid
2223|harbor|north|sensor|56|pending
2281|cobalt|south|pump|73|paid
1882|fulton|west|rotor|47|pending
2235|dorian|north|pump|49|shipped
1667|ember|east|cable|28|paid
2076|fulton|north|frame|21|paid
1556|gale|east|gasket|97|pending
1604|gale|north|gasket|90|paid
1807|ember|north|valve|80|held
1855|juno|east|rotor|24|shipped
2208|fulton|north|gasket|93|shipped
2063|ember|north|valve|32|pending
1560|fulton|south|gasket|15|shipped
1869|birch|east|gasket|74|pending
1586|birch|south|sensor|11|paid
1613|dorian|north|frame|84|paid
1610|ionic|north|panel|98|shipped
1797|dorian|west|pump|87|pending
2079|harbor|north|sensor|28|pending
1987|cobalt|south|gasket|43|held
1782|fulton|west|panel|72|held
1937|ionic|north|frame|48|shipped
1476|juno|north|gasket|74|pending
1679|fulton|north|gasket|10|held
1725|acme|west|rotor|65|shipped
1961|dorian|north|rotor|98|paid
2049|dorian|north|frame|30|pending
2140|juno|east|frame|30|pending
1833|gale|east|gasket|11|paid
1888|juno|south|pump|36|shipped
2104|birch|west|pump|68|held
1658|ionic|south|valve|32|shipped
1982|acme|north|rotor|92|paid
1520|fulton|west|pump|55|held
2016|ionic|north|rotor|25|pending
2195|harbor|north|panel|91|paid
1711|acme|south|gasket|38|paid
1875|birch|north|frame|68|pending
1839|ionic|west|valve|16|shipped
1964|dorian|north|panel|23|held
2291|cobalt|south|cable|14|held
2245|juno|north|cable|13|held
1776|ember|west|rotor|11|paid
2240|birch|east|cable|65|pending
1541|birch|west|panel|10|held
2264|ionic|south|valve|85|shipped
2028|harbor|west|rotor|52|shipped
1591|harbor|north|pump|56|paid
2117|cobalt|north|cable|85|shipped
2277|harbor|north|cable|87|held
2034|ember|south|cable|32|shipped
1991|fulton|west|gasket|98|paid
1691|cobalt|east|gasket|42|pending
1642|juno|south|cable|88|shipped
1485|juno|north|pump|63|shipped
1503|acme|north|valve|67|paid
1940|dorian|east|sensor|69|pending
2032|cobalt|east|sensor|22|pending
2282|gale|north|pump|83|shipped
1955|cobalt|west|valve|89|pending
2111|birch|south|sensor|21|paid
1920|ionic|north|sensor|21|pending
2261|acme|north|gasket|80|held
1834|gale|north|sensor|13|shipped
2228|gale|west|valve|27|pending
2005|dorian|east|frame|93|shipped
2251|gale|south|cable|22|paid
2279|gale|west|rotor|60|paid
1968|cobalt|west|frame|10|shipped
1662|fulton|south|pump|72|shipped
1454|juno|north|frame|11|pending
1813|ember|south|gasket|85|shipped
1787|cobalt|west|gasket|45|shipped
1578|dorian|north|gasket|89|shipped
2165|ionic|east|panel|16|paid
1675|ionic|south|gasket|35|pending
1934|acme|east|frame|87|held
1863|harbor|south|rotor|13|paid
1854|juno|west|cable|20|shipped
1598|dorian|west|panel|95|shipped
1948|acme|west|cable|62|pending
2058|ionic|north|pump|78|pending
1816|ionic|south|pump|77|shipped
2085|juno|west|panel|36|pending
2102|juno|north|panel|44|paid
1618|ionic|west|frame|94|shipped
1761|ember|south|gasket|37|paid
1657|juno|north|gasket|31|held
1880|acme|north|frame|84|held
2013|dorian|west|gasket|65|held
1740|gale|south|frame|41|paid
2011|birch|west|frame|93|pending
2203|fulton|south|cable|11|held
2156|gale|west|sensor|35|paid
1701|birch|east|gasket|83|pending
1874|birch|east|panel|61|shipped
2149|cobalt|west|rotor|81|paid
1764|cobalt|north|gasket|30|paid
2110|harbor|north|gasket|17|paid
1735|juno|north|pump|44|pending
1463|juno|north|pump|60|pending
1793|birch|west|sensor|30|paid
2067|birch|west|sensor|96|shipped
1531|juno|east|valve|33|pending
2198|dorian|south|rotor|83|paid
1568|birch|west|rotor|41|shipped
1821|gale|west|panel|86|shipped
2055|juno|north|rotor|62|held
2123|ionic|west|panel|43|held
2114|dorian|south|panel|51|held
2056|acme|east|frame|21|held
1943|ember|west|panel|79|paid
1551|fulton|south|rotor|23|pending
1786|harbor|east|sensor|99|shipped
1829|harbor|south|frame|27|pending
1678|ember|south|panel|10|shipped
2241|ionic|east|pump|65|paid
1668|acme|north|panel|57|paid
2172|harbor|east|pump|34|shipped
2092|juno|east|frame|48|pending
2038|dorian|west|frame|18|held
1619|ionic|east|sensor|84|held
1924|cobalt|north|cable|33|pending
1718|ember|west|sensor|81|pending
1752|harbor|east|cable|27|held
1710|fulton|south|frame|42|shipped
1498|juno|south|rotor|45|held
1564|ionic|east|gasket|75|held
1526|birch|east|frame|40|paid
1584|gale|north|valve|45|shipped
1871|fulton|north|pump|75|paid
1509|fulton|east|sensor|97|pending
1646|gale|north|valve|46|held
2253|cobalt|east|pump|81|pending
2283|acme|east|rotor|99|shipped
1749|ember|south|panel|46|shipped
1769|cobalt|north|pump|63|paid
2130|dorian|east|valve|96|paid
1630|ionic|east|frame|98|shipped
1626|harbor|east|rotor|33|paid
1686|cobalt|south|cable|63|held
1537|acme|west|frame|73|paid
1999|acme|north|pump|24|pending
2042|dorian|south|frame|89|held
1559|juno|west|pump|80|held
1575|ionic|south|panel|16|pending
1994|harbor|east|cable|93|shipped
1828|ionic|west|cable|11|pending
1747|harbor|south|gasket|22|shipped
2094|cobalt|east|cable|69|paid
1978|dorian|east|sensor|84|held
1954|gale|east|gasket|34|held
1456|juno|east|frame|19|pending
2305|harbor|west|sensor|75|held
1732|ember|north|panel|93|paid
1704|fulton|east|cable|88|shipped
2302|gale|east|sensor|33|shipped
1697|birch|north|sensor|50|held
2275|cobalt|south|rotor|66|shipped
1864|gale|west|frame|96|shipped
1895|ember|west|cable|53|paid
1905|fulton|south|rotor|99|pending
2153|gale|east|rotor|23|shipped
2184|cobalt|east|rotor|82|held
2070|juno|south|valve|86|paid
2298|juno|north|pump|15|pending
1478|juno|east|gasket|57|pending
1594|fulton|east|rotor|13|pending
1728|ember|north|rotor|86|pending
2043|harbor|north|pump|96|pending
2160|cobalt|south|panel|84|paid
1464|juno|south|panel|16|pending
1715|ember|south|panel|91|held
1650|acme|south|cable|47|held
2214|gale|west|rotor|74|paid
1974|fulton|south|panel|14|held
2144|cobalt|north|valve|21|held
1736|harbor|west|gasket|21|held
2217|juno|west|frame|12|shipped
2177|harbor|south|valve|97|held
1585|cobalt|north|panel|32|pending
2249|fulton|north|rotor|87|pending
1637|ionic|west|frame|34|paid
1636|juno|east|rotor|64|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
TimeoutError: The operation was aborted due to timeoutagentic.tools.triage-v1anchorconf · · · tok
model answer: (none extracted)
wrongagentic.tools.deploy-v1conf 95% · 798ms · $0.000 · 599 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf 95% · 800ms · $0.000 · 1005 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: $394
- delta: $848
- alpha: $173

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $572 from "kilo" to "delta"
2. pay $339 from "delta" to "alpha"
3. pay $337 from "delta" to "alpha"
4. pay $157 from "alpha" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.triage-v1conf 95% · 723ms · $0.001 · 1143 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 → novak
- infra → silva
- data → chen

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 9)
2. "card declined at checkout" (category: payments, priority 9)
3. "records missing after import" (category: data, priority 4)
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: (none extracted)
wrongagentic.tools.context-load-v1conf 100% · 821ms · $0.003 · 6019 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (176 records, format: id|customer|region|item|qty|status):
```
1441|dorian|north|pump|50|pending
1393|birch|east|rotor|60|shipped
1620|dorian|east|gasket|50|paid
1246|dorian|south|pump|15|pending
1632|dorian|south|rotor|47|held
1751|ionic|west|pump|91|paid
1290|acme|north|cable|71|pending
1507|birch|east|sensor|59|shipped
1196|acme|east|frame|42|pending
1513|dorian|south|pump|78|held
1369|gale|north|valve|55|paid
1626|juno|east|rotor|27|held
1207|acme|north|valve|61|pending
1524|acme|north|cable|38|pending
1260|dorian|west|sensor|94|held
1277|acme|north|cable|24|paid
1705|dorian|south|panel|85|pending
1500|ember|north|frame|82|shipped
1372|birch|north|sensor|60|held
1579|harbor|west|sensor|73|shipped
1319|acme|north|gasket|35|pending
1642|ionic|north|pump|58|pending
1870|harbor|south|pump|33|paid
1440|harbor|east|panel|47|shipped
1340|birch|west|gasket|54|held
1376|ionic|north|gasket|61|held
1906|juno|south|gasket|16|pending
1740|birch|east|panel|74|held
1519|ionic|north|cable|51|shipped
1421|fulton|east|sensor|21|pending
1485|birch|north|cable|62|shipped
1769|birch|east|cable|89|held
1543|ionic|north|frame|67|held
1412|fulton|north|valve|99|pending
1560|ionic|east|panel|38|paid
1492|ionic|east|valve|30|paid
1531|gale|west|pump|40|pending
1570|ember|west|rotor|66|held
1865|cobalt|south|cable|52|paid
1536|juno|north|gasket|55|held
1838|dorian|north|gasket|31|pending
1813|birch|south|sensor|90|paid
1453|harbor|south|pump|97|shipped
1205|acme|east|gasket|34|pending
1779|harbor|west|frame|64|paid
1525|dorian|south|gasket|49|pending
1237|cobalt|south|panel|68|paid
1303|dorian|east|panel|45|paid
1346|birch|south|rotor|66|shipped
1216|acme|east|pump|32|pending
1304|birch|east|sensor|86|shipped
1806|ember|south|pump|95|paid
1454|acme|east|valve|53|paid
1898|fulton|west|sensor|72|held
1594|ember|east|valve|24|pending
1548|acme|east|pump|48|paid
1785|acme|south|gasket|78|held
1743|cobalt|north|valve|98|paid
1541|birch|east|rotor|43|paid
1227|acme|east|pump|51|held
1322|ionic|south|pump|26|pending
1680|ionic|east|panel|67|shipped
1591|juno|south|rotor|49|shipped
1381|gale|north|pump|53|held
1891|ember|west|pump|27|held
1297|juno|east|panel|75|pending
1665|birch|south|gasket|44|pending
1596|ionic|south|rotor|86|pending
1775|cobalt|west|panel|51|pending
1556|fulton|west|gasket|45|shipped
1687|acme|west|sensor|36|paid
1614|harbor|north|gasket|66|pending
1647|juno|east|pump|67|paid
1744|gale|east|valve|66|pending
1547|acme|east|panel|71|pending
1791|ember|west|sensor|25|pending
1575|birch|west|panel|56|shipped
1768|dorian|west|sensor|83|held
1311|dorian|north|rotor|35|held
1756|ionic|north|gasket|18|pending
1515|acme|north|valve|95|shipped
1811|fulton|east|frame|49|shipped
1899|ionic|west|valve|14|pending
1288|ionic|west|sensor|97|paid
1275|ember|north|valve|29|paid
1231|dorian|east|sensor|86|held
1537|juno|south|valve|73|shipped
1910|acme|south|gasket|32|held
1328|dorian|south|panel|59|shipped
1802|fulton|north|gasket|86|paid
1827|cobalt|east|pump|70|held
1671|ionic|south|panel|31|held
1202|acme|east|frame|62|shipped
1437|cobalt|north|sensor|60|paid
1362|ionic|south|panel|44|paid
1854|gale|east|sensor|50|shipped
1897|ember|west|valve|75|held
1661|ember|east|cable|43|paid
1874|juno|north|panel|17|paid
1892|cobalt|north|valve|96|shipped
1796|cobalt|east|rotor|83|paid
1673|cobalt|south|pump|49|pending
1731|harbor|west|rotor|57|shipped
1758|birch|east|valve|93|shipped
1270|ionic|west|cable|11|paid
1432|dorian|west|sensor|33|pending
1482|birch|north|cable|36|held
1886|juno|west|panel|58|pending
1466|harbor|east|sensor|18|shipped
1585|juno|east|cable|90|held
1720|dorian|west|valve|96|shipped
1668|fulton|east|sensor|40|held
1282|cobalt|north|pump|85|paid
1639|acme|west|frame|22|shipped
1315|cobalt|north|pump|64|held
1553|ember|east|gasket|59|held
1491|harbor|east|pump|63|shipped
1402|juno|west|pump|60|shipped
1741|gale|north|panel|25|shipped
1334|ionic|east|valve|28|paid
1888|birch|west|sensor|28|shipped
1461|acme|north|valve|82|held
1848|ionic|north|panel|60|shipped
1664|fulton|east|pump|17|shipped
1566|fulton|west|panel|24|paid
1234|harbor|west|valve|82|pending
1211|acme|east|panel|90|shipped
1651|harbor|north|pump|61|shipped
1471|ember|north|cable|99|paid
1433|harbor|east|sensor|79|shipped
1470|dorian|east|frame|33|paid
1841|acme|north|valve|16|held
1784|cobalt|west|pump|56|shipped
1406|dorian|east|rotor|73|pending
1199|acme|north|pump|64|pending
1222|acme|west|rotor|11|pending
1604|acme|north|valve|17|held
1763|dorian|west|rotor|90|held
1496|cobalt|south|gasket|48|held
1263|ionic|east|valve|87|held
1691|juno|north|pump|15|pending
1567|harbor|north|rotor|34|pending
1860|gale|west|sensor|32|paid
1493|ember|west|rotor|82|pending
1463|gale|west|sensor|77|paid
1818|dorian|east|gasket|31|paid
1698|harbor|east|sensor|57|pending
1707|birch|east|valve|40|paid
1248|harbor|north|cable|93|pending
1879|cobalt|south|rotor|96|shipped
1603|birch|north|gasket|51|held
1815|juno|east|sensor|42|held
1472|dorian|east|valve|23|pending
1656|gale|south|valve|97|paid
1416|gale|south|gasket|99|held
1714|harbor|north|gasket|22|held
1386|ember|west|frame|40|held
1836|ember|south|pump|95|shipped
1352|ionic|north|cable|60|held
1255|gale|north|sensor|53|held
1551|cobalt|north|frame|37|shipped
1833|birch|south|frame|32|pending
1725|birch|east|cable|31|paid
1679|juno|north|sensor|27|pending
1732|cobalt|west|panel|48|shipped
1240|dorian|east|sensor|72|shipped
1448|ionic|west|cable|28|shipped
1733|harbor|north|cable|91|held
1610|dorian|west|gasket|20|held
1708|gale|north|pump|25|pending
1395|juno|south|frame|91|held
1479|cobalt|north|rotor|35|pending
1820|juno|west|pump|75|paid
1757|dorian|south|cable|40|shipped
1427|juno|west|valve|42|shipped
1355|acme|south|pump|77|shipped
```

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 > 61, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.deploy-v1conf 100% · 1.0s · $0.000 · 709 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf 95% · 1.5s · $0.001 · 1636 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $414
- lima: $693
- delta: $492

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $417 from "delta" to "lima"
2. pay $350 from "alpha" to "delta"
3. pay $571 from "alpha" to "lima"
4. pay $490 from "delta" to "lima"
5. pay $498 from "delta" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1conf 98% · 833ms · $0.002 · 4734 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 (134 records, format: id|customer|region|item|qty|status):
```
1478|cobalt|south|gasket|48|paid
1370|cobalt|north|sensor|44|shipped
1504|ember|east|gasket|24|pending
1245|ember|south|valve|24|held
1336|harbor|north|valve|74|pending
1198|acme|north|panel|22|held
1514|birch|west|sensor|83|shipped
1261|cobalt|east|cable|64|held
1165|harbor|south|valve|58|shipped
1454|harbor|west|sensor|14|paid
1539|harbor|west|panel|23|pending
1333|harbor|north|frame|89|paid
1434|acme|west|gasket|44|held
1145|juno|south|panel|94|held
1326|ember|east|rotor|94|shipped
1172|gale|north|sensor|67|shipped
1398|cobalt|east|sensor|11|paid
1591|cobalt|south|gasket|59|pending
1445|dorian|west|rotor|32|paid
1605|gale|north|sensor|10|paid
1273|cobalt|west|frame|80|held
1552|dorian|east|cable|24|shipped
1168|cobalt|north|pump|43|pending
1197|acme|north|frame|50|pending
1584|dorian|west|cable|29|held
1119|juno|south|panel|42|pending
1150|dorian|west|valve|13|paid
1233|dorian|north|rotor|69|shipped
1482|acme|west|panel|20|shipped
1589|acme|west|rotor|87|pending
1317|cobalt|east|gasket|80|shipped
1391|ionic|north|gasket|46|pending
1578|dorian|west|valve|25|shipped
1342|harbor|north|cable|31|held
1572|cobalt|east|cable|91|pending
1185|cobalt|south|frame|51|shipped
1182|harbor|west|cable|88|shipped
1162|ember|north|frame|95|pending
1283|gale|south|rotor|13|paid
1268|ionic|south|sensor|46|shipped
1427|fulton|east|sensor|48|shipped
1225|cobalt|west|cable|23|shipped
1248|dorian|west|sensor|75|paid
1607|cobalt|north|gasket|45|paid
1530|harbor|east|gasket|37|held
1559|ionic|east|valve|83|pending
1508|acme|west|rotor|46|pending
1188|harbor|east|rotor|69|held
1451|dorian|east|pump|64|held
1113|juno|east|rotor|61|pending
1419|gale|south|valve|53|paid
1239|juno|south|gasket|45|held
1462|birch|east|sensor|56|shipped
1255|dorian|north|rotor|92|held
1439|ionic|north|panel|42|shipped
1361|ionic|north|rotor|64|shipped
1111|juno|south|valve|60|pending
1496|harbor|west|gasket|57|pending
1550|ionic|south|rotor|91|shipped
1404|birch|north|cable|77|held
1189|birch|north|valve|72|pending
1460|gale|east|frame|52|pending
1458|cobalt|east|panel|62|shipped
1520|harbor|north|frame|54|shipped
1310|cobalt|north|pump|24|pending
1368|dorian|east|valve|74|paid
1114|juno|south|rotor|80|held
1176|dorian|south|cable|10|shipped
1299|dorian|south|sensor|46|shipped
1613|fulton|west|valve|40|pending
1384|gale|west|panel|13|shipped
1354|dorian|north|pump|41|paid
1565|ionic|east|valve|58|pending
1126|juno|north|valve|53|pending
1401|acme|west|frame|85|paid
1194|ember|south|cable|11|paid
1469|fulton|south|sensor|16|held
1133|juno|south|panel|12|shipped
1214|juno|east|cable|12|pending
1171|dorian|south|cable|34|held
1345|juno|north|gasket|20|paid
1594|juno|west|valve|13|pending
1179|harbor|east|pump|18|held
1291|harbor|east|pump|71|pending
1411|harbor|west|rotor|89|held
1536|fulton|west|valve|14|shipped
1407|ionic|west|cable|16|held
1155|juno|north|valve|28|held
1488|juno|east|frame|99|held
1340|acme|north|rotor|26|pending
1500|gale|west|valve|24|paid
1461|birch|north|valve|22|held
1305|ionic|south|valve|73|paid
1513|ionic|east|frame|15|held
1374|cobalt|north|pump|74|held
1390|birch|north|rotor|40|pending
1141|juno|east|sensor|21|pending
1555|acme|west|panel|47|shipped
1324|birch|south|frame|70|shipped
1352|juno|south|panel|75|paid
1414|ember|west|rotor|66|shipped
1276|gale|east|panel|94|paid
1393|dorian|south|panel|78|held
1186|juno|west|gasket|73|paid
1471|dorian|north|rotor|90|held
1601|ionic|west|gasket|76|paid
1377|cobalt|south|cable|61|paid
1588|acme|west|gasket|49|held
1568|ember|south|gasket|10|pending
1533|gale|west|rotor|15|shipped
1134|juno|south|frame|62|pending
1499|juno|north|gasket|53|shipped
1527|gale|north|rotor|35|held
1415|dorian|west|pump|21|shipped
1267|cobalt|south|rotor|85|held
1203|ember|east|valve|30|pending
1457|cobalt|north|pump|89|paid
1599|fulton|west|cable|10|paid
1229|harbor|south|rotor|83|pending
1187|dorian|south|sensor|87|shipped
1330|ember|north|pump|63|shipped
1423|gale|south|cable|59|shipped
1546|cobalt|north|frame|30|held
1218|acme|east|cable|69|held
1335|gale|west|gasket|12|shipped
1289|birch|east|panel|92|held
1452|ember|east|gasket|78|held
1376|cobalt|north|valve|69|shipped
1441|acme|east|cable|94|held
1210|fulton|west|frame|39|paid
1292|birch|east|rotor|63|paid
1265|acme|west|rotor|46|held
1493|acme|west|cable|98|held
1465|dorian|west|panel|73|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf 100% · 127ms · $0.001 · 1159 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: $368
- oscar: $602
- echo: $131

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $299 from "delta" to "oscar"
2. pay $424 from "oscar" to "echo"
3. pay $166 from "delta" to "echo"
4. pay $84 from "echo" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.deploy-v1conf 95% · 1.9s · $0.000 · 774 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1conf 95% · 761ms · $0.003 · 7647 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 (241 records, format: id|customer|region|item|qty|status):
```
1385|ionic|north|valve|31|pending
1398|cobalt|west|gasket|71|shipped
1986|cobalt|north|rotor|33|paid
1810|birch|west|rotor|13|shipped
1862|harbor|east|valve|87|held
1866|dorian|south|sensor|96|paid
1775|ember|north|frame|45|paid
1843|ionic|east|valve|39|held
1118|ember|west|panel|78|paid
1391|fulton|west|sensor|46|held
1311|dorian|west|frame|68|paid
1365|gale|east|gasket|22|held
2054|ionic|south|panel|13|paid
1785|harbor|north|frame|90|paid
1341|cobalt|west|frame|31|pending
1318|ionic|east|frame|60|paid
1201|gale|west|cable|15|paid
1789|acme|north|panel|34|paid
1540|gale|south|gasket|15|paid
1254|ionic|west|sensor|20|pending
2058|ionic|west|valve|15|pending
1188|gale|south|gasket|96|pending
1138|ember|east|pump|17|pending
1248|juno|south|gasket|19|held
1923|ionic|east|pump|26|paid
1401|gale|north|frame|48|held
1325|fulton|north|sensor|12|pending
1103|ember|south|pump|42|pending
1131|ember|west|rotor|18|paid
1414|acme|north|valve|49|shipped
1259|fulton|north|cable|96|pending
1158|ionic|north|panel|38|pending
1270|acme|east|valve|93|shipped
1758|harbor|west|sensor|81|paid
1764|juno|south|rotor|57|held
1605|cobalt|west|sensor|74|paid
1960|cobalt|south|gasket|30|shipped
1097|ember|west|cable|41|pending
1962|ionic|south|sensor|56|paid
1649|acme|west|frame|19|paid
1945|acme|north|gasket|20|shipped
1902|ember|south|valve|28|held
1860|cobalt|west|sensor|47|held
1441|ember|north|rotor|30|held
1532|gale|north|gasket|77|pending
1473|ember|east|valve|46|pending
1876|harbor|west|rotor|55|held
1909|ember|north|panel|69|held
1193|birch|east|frame|30|paid
1527|dorian|north|sensor|97|held
1828|acme|west|pump|69|shipped
1671|acme|north|frame|39|paid
1756|dorian|north|pump|61|pending
1125|ember|west|rotor|13|pending
1560|cobalt|north|cable|96|paid
1199|birch|south|pump|63|shipped
2063|ionic|north|panel|96|pending
1873|ionic|north|panel|28|pending
1190|birch|west|cable|47|pending
1169|birch|south|gasket|92|pending
1376|dorian|north|valve|47|pending
1456|gale|east|valve|12|paid
1307|harbor|west|rotor|34|shipped
1293|harbor|north|pump|76|shipped
1351|dorian|east|sensor|75|pending
1642|juno|south|sensor|76|held
1928|gale|south|gasket|21|shipped
1636|gale|south|cable|88|shipped
1757|acme|north|pump|71|pending
1838|juno|east|sensor|65|pending
1554|dorian|west|gasket|57|pending
2088|juno|west|sensor|70|held
1282|birch|south|panel|92|pending
1721|cobalt|south|panel|43|paid
2025|birch|west|pump|87|pending
1107|ember|west|panel|99|held
1541|juno|west|gasket|23|paid
1214|birch|south|sensor|90|pending
1937|harbor|north|valve|28|pending
1302|juno|east|panel|28|shipped
1235|harbor|south|sensor|44|shipped
1096|ember|west|rotor|85|held
1630|cobalt|west|panel|44|paid
1127|ember|south|pump|12|pending
1148|fulton|north|gasket|65|held
1313|harbor|north|rotor|81|shipped
1833|fulton|west|panel|12|paid
1999|harbor|north|cable|65|paid
1544|cobalt|west|panel|54|pending
1421|ionic|west|panel|77|shipped
1595|ember|west|frame|41|shipped
1953|ember|south|rotor|34|held
1579|juno|east|valve|63|pending
1982|fulton|east|gasket|53|held
1749|cobalt|south|valve|81|pending
1643|dorian|east|sensor|79|paid
1711|harbor|south|rotor|38|held
1696|ionic|west|pump|11|pending
2026|dorian|east|sensor|90|pending
1768|ember|north|sensor|79|pending
1687|ember|west|sensor|20|paid
2015|ember|south|valve|75|paid
2091|juno|east|frame|81|held
1370|gale|east|cable|83|pending
1425|acme|north|frame|58|held
1287|birch|south|valve|24|pending
1224|harbor|west|frame|29|paid
1352|fulton|east|frame|77|shipped
1655|ember|south|cable|83|pending
1207|juno|south|valve|91|pending
1491|fulton|south|panel|11|shipped
1728|birch|east|rotor|12|held
1973|gale|north|pump|54|paid
1465|cobalt|north|gasket|89|pending
2038|ember|east|gasket|67|pending
1087|ember|west|panel|57|pending
1951|ionic|east|panel|53|paid
2008|birch|east|gasket|93|paid
1174|gale|west|rotor|97|paid
1303|ionic|east|gasket|64|shipped
1848|dorian|west|valve|10|held
1133|ember|west|sensor|65|pending
1664|birch|south|cable|33|paid
1916|acme|west|rotor|45|pending
1286|ember|east|panel|98|pending
1258|cobalt|east|rotor|21|paid
1437|acme|west|pump|41|held
1670|harbor|north|cable|44|held
1461|cobalt|west|frame|65|paid
2083|birch|north|rotor|90|pending
1608|cobalt|south|valve|88|held
1934|harbor|east|pump|37|held
1680|birch|east|cable|17|paid
1829|birch|north|frame|50|pending
1142|ember|west|valve|24|shipped
1967|ember|east|valve|11|held
1329|acme|south|sensor|34|pending
2047|acme|east|pump|37|held
1700|harbor|west|sensor|10|pending
1275|dorian|south|pump|50|shipped
1854|cobalt|west|valve|96|held
1678|dorian|east|cable|76|shipped
1572|harbor|east|cable|24|held
1185|gale|north|sensor|39|pending
1429|acme|south|rotor|91|held
1203|ionic|east|panel|97|pending
1732|harbor|west|panel|34|shipped
1298|harbor|north|frame|33|held
1155|ionic|north|gasket|98|pending
2098|ember|south|sensor|31|shipped
2020|juno|north|gasket|70|shipped
2005|ember|east|frame|44|paid
2003|dorian|south|panel|82|pending
1897|cobalt|west|sensor|65|paid
1781|ember|east|frame|81|shipped
1090|ember|north|sensor|28|pending
1265|gale|east|gasket|15|paid
1623|ionic|south|rotor|17|held
1864|acme|north|frame|50|held
1737|birch|south|cable|88|paid
1816|ionic|north|frame|76|held
1606|cobalt|north|gasket|47|paid
1832|juno|east|valve|86|pending
2070|fulton|east|rotor|44|shipped
1645|harbor|north|valve|78|shipped
1524|cobalt|south|panel|60|paid
1543|ember|south|sensor|72|paid
1229|dorian|north|sensor|91|shipped
2042|gale|south|gasket|58|paid
1690|fulton|south|sensor|46|shipped
1159|harbor|south|gasket|68|shipped
1408|cobalt|east|cable|58|held
1520|cobalt|north|pump|58|held
1413|dorian|south|panel|98|held
1163|fulton|west|frame|88|paid
1886|birch|south|rotor|54|paid
1549|fulton|north|cable|80|held
1444|fulton|east|pump|57|held
1380|harbor|east|frame|74|held
1584|dorian|south|valve|76|held
1358|acme|south|panel|31|pending
1733|birch|west|cable|25|shipped
1930|dorian|west|rotor|86|shipped
1505|harbor|west|valve|73|shipped
1896|acme|west|cable|48|pending
1346|birch|south|rotor|97|paid
1336|acme|south|gasket|76|paid
1748|cobalt|west|rotor|52|held
1938|juno|east|pump|98|held
1706|birch|south|cable|24|pending
1360|fulton|east|rotor|83|pending
1880|birch|east|panel|51|held
1230|harbor|west|gasket|56|held
1845|birch|south|sensor|49|held
1242|juno|west|frame|88|shipped
1476|cobalt|south|sensor|52|pending
1483|birch|north|sensor|72|shipped
1184|gale|north|frame|28|shipped
1109|ember|west|rotor|64|pending
1662|birch|north|valve|13|paid
2086|dorian|south|sensor|25|shipped
1217|birch|west|gasket|87|paid
1565|gale|west|panel|31|held
1646|fulton|east|frame|90|pending
1992|birch|west|frame|73|pending
1618|cobalt|east|panel|62|shipped
1115|ember|north|frame|18|pending
1147|cobalt|south|pump|23|held
1741|juno|east|gasket|72|pending
1959|fulton|west|rotor|93|shipped
1602|gale|south|panel|99|paid
1590|cobalt|north|valve|92|paid
2031|harbor|north|valve|67|pending
1435|juno|south|valve|72|held
1516|birch|east|sensor|85|pending
1321|birch|east|frame|46|shipped
1450|juno|north|rotor|87|held
1658|juno|west|gasket|96|shipped
1890|juno|south|cable|57|paid
1467|ionic|east|rotor|52|pending
1975|gale|east|cable|81|held
2076|birch|north|sensor|49|shipped
1552|ember|east|panel|93|pending
1798|acme|north|panel|54|held
1716|ionic|west|rotor|48|held
1803|gale|north|panel|61|shipped
1971|dorian|east|valve|40|pending
2019|fulton|east|sensor|43|pending
1510|ember|east|rotor|47|shipped
1821|birch|south|cable|75|held
1792|cobalt|north|frame|20|pending
1498|fulton|east|sensor|53|pending
1615|cobalt|south|panel|91|held
1172|juno|west|sensor|92|shipped
2062|gale|west|frame|78|shipped
1669|harbor|north|gasket|28|pending
1459|juno|east|panel|54|pending
1537|fulton|east|panel|74|shipped
1486|harbor|west|panel|26|pending
1181|ionic|south|sensor|63|paid
1202|gale|east|panel|78|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.triage-v1conf 100% · 114ms · $0.000 · 784 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 3)
2. "cannot reset password" (category: auth, 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: (none extracted)
wrongagentic.tools.deploy-v1conf 95% · 846ms · $0.000 · 903 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1anchorconf 100% · 1.1s · $0.003 · 6609 tok
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf 100% · 975ms · $0.000 · 622 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: $506
- delta: $501
- alpha: $371

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $352 from "alpha" to "delta"
2. pay $161 from "echo" to "alpha"
3. pay $378 from "delta" to "alpha"
4. pay $142 from "alpha" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.triage-v1conf 95% · 938ms · $0.001 · 1466 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 6)
2. "webhooks not delivered" (category: infra, priority 4)
3. "invoice total wrong" (category: payments, priority 3)
4. "invoice total wrong" (category: payments, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.deploy-v1anchorconf 100% · 1.1s · $0.000 · 638 tok
model answer: (none extracted)
wrongagentic.tools.ledger-v1anchorconf 95% · 236ms · $0.001 · 1206 tok
model answer: (none extracted)
code 29/30 correct
TimeoutError: The operation was aborted due to timeoutcode.trace.nested-v1conf · · · 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 == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctcode.trace.nested-v1conf 10% · 144ms · $0.007 · 16384 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 263
correctcode.trace.js-v1conf 100% · 163ms · $0.000 · 228 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 12
correctcode.trace.python-v1conf 100% · 828ms · $0.000 · 938 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 7
while total + v <= 96:
    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: 84
correctcode.trace.js-v1conf 100% · 1.8s · $0.000 · 212 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [9, 10, 11, 12, 13, 14];
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: 70
correctcode.trace.nested-v1conf 100% · 844ms · $0.001 · 3180 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 == 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: 287
correctcode.trace.js-v1conf 100% · 1.2s · $0.000 · 387 tok
question
What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 5)
  .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: 180
correctcode.trace.python-v1conf 100% · 665ms · $0.000 · 577 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 2
while total + v <= 85:
    if v % 5 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 50
correctcode.trace.nested-v1conf 100% · 751ms · $0.001 · 2061 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 107
correctcode.trace.python-v1conf 95% · 334ms · $0.000 · 593 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 9
while total + v <= 51:
    if v % 5 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 30
correctcode.trace.js-v1conf 100% · 1.3s · $0.000 · 403 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 378
correctcode.trace.python-v1conf 100% · 128ms · $0.000 · 346 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 14
while total + v <= 52:
    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: 35
correctcode.trace.nested-v1conf 100% · 104ms · $0.001 · 3385 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 123
correctcode.trace.js-v1conf 100% · 1.0s · $0.000 · 427 tok
question
What does this JavaScript program log?

```js
const arr = [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14];
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: 120
correctcode.trace.python-v1conf 100% · 938ms · $0.000 · 700 tok
question
What does this Python program print?

```python
total = 0
v = 1
while total + v <= 38:
    if v % 4 != 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: 28
correctcode.trace.js-v1conf 100% · 765ms · $0.000 · 172 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108
correctcode.trace.nested-v1conf 100% · 899ms · $0.001 · 2387 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, 7):
        if j == 4 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: 204
correctcode.trace.python-v1conf 100% · 100ms · $0.000 · 321 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 9
while total + v <= 56:
    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: 32
correctcode.trace.nested-v1conf 100% · 106ms · $0.001 · 2225 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 138
correctcode.trace.js-v1conf 100% · 133ms · $0.000 · 271 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];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84
correctcode.trace.js-v1conf 100% · 110ms · $0.000 · 370 tok
question
What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 20
correctcode.trace.python-v1conf 100% · 709ms · $0.000 · 503 tok
question
What does this Python program print?

```python
total = 0
v = 4
while total + v <= 76:
    if v % 6 != 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: 70
correctcode.trace.python-v1anchorconf 100% · 114ms · $0.000 · 802 tok
model answer: 0
correctcode.trace.nested-v1conf 100% · 108ms · $0.001 · 2392 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, 7):
        if j == 4 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: 204
correctcode.trace.python-v1conf 100% · 106ms · $0.000 · 463 tok
question
What does this Python program print?

```python
total = 0
v = 11
while total + v <= 85:
    if v % 4 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctcode.trace.js-v1conf 100% · 317ms · $0.000 · 367 tok
question
What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 60
correctcode.trace.nested-v1conf 100% · 169ms · $0.001 · 1909 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 135
correctcode.trace.nested-v1anchorconf 95% · 159ms · $0.001 · 2559 tok
model answer: 283
correctcode.trace.js-v1anchorconf 100% · 164ms · $0.000 · 221 tok
model answer: 63
correctcode.trace.python-v1anchorconf 100% · 133ms · $0.000 · 367 tok
model answer: 40
instruction following 28/30 correct
correctif.constraints.stack-v1conf 100% · 104ms · $0.001 · 1574 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "ember" and the last word must be "delta".
3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember waves dance over bright prism sands while gulls call soft prism echoes near distant and silent tides whisper through night calm delta
correctif.constraints.stack-v1conf 100% · 104ms · $0.000 · 1214 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "falcon" and the last word must be "comet".
3. Use the word "prism" 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 prism the old prism machine whirrs softly prism beneath moonlight like a comet
correctif.format.acronym-v1conf 100% · 207ms · $0.000 · 243 tok
question
Take the third letter of each of these words, in order: orbit, cedar, delta, 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: BDLM
correctif.format.repeat-v1conf 100% · 858ms · $0.000 · 195 tok
question
Write the word "ember" in capitalized form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EMBER-EMBER-EMBER-EMBER-EMBER-EMBER
correctif.format.acronym-v1conf 100% · 245ms · $0.000 · 286 tok
question
Take the third letter of each of these words, in order: ember, nova, basalt, flint, 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: BVSIP
correctif.format.repeat-v1conf 100% · 104ms · $0.000 · 235 tok
question
Write the word "drift" in uppercase form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DRIFT-DRIFT-DRIFT-DRIFT
correctif.constraints.stack-v1conf 100% · 773ms · $0.001 · 1475 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "lumen" and the last word must be "basalt".
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: lumen delta waves dance over deep sea tide soft silent moonlit echo away delta shadows whisper delta light fades basalt
correctif.format.acronym-v1conf 100% · 728ms · $0.000 · 225 tok
question
Take the second letter of each of these words, in order: nova, comet, zephyr, cedar, orbit, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OOEERU
correctif.format.repeat-v1conf 100% · 109ms · $0.000 · 212 tok
question
Write the word "lumen" 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: lumen-lumen-lumen-lumen-lumen
wrongif.constraints.stack-v1conf 100% · 786ms · $0.001 · 1347 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "flint" and the last word must be "comet".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: flint falcon soared over silent valleys and falcon chased dreams toward distant comet
correctif.format.acronym-v1conf 100% · 741ms · $0.000 · 187 tok
question
Take the third letter of each of these words, in order: cedar, orbit, quartz, comet, lumen, 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: DBAMMI
correctif.format.repeat-v1conf 100% · 294ms · $0.000 · 239 tok
question
Write the word "nova" 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: NOVA-NOVA-NOVA-NOVA-NOVA
correctif.constraints.stack-v1conf 100% · 724ms · $0.001 · 1482 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "orbit" and the last word must be "zephyr".
3. Use the word "nova" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbit old machine humming softly nova nova echoes through rusted gears beneath twilight sky softly dancing in the night air gentle warm whispering zephyr
correctif.constraints.stack-v1conf 100% · 784ms · $0.001 · 1374 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "echo" and the last word must be "basalt".
3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: echo soft night wind whispers over empty streets prism glow kisses wet stone prism shadows play beneath moonlit arches while distant sirens sigh basalt
correctif.format.acronym-v1conf 100% · 865ms · $0.000 · 167 tok
question
Take the first letter of each of these words, in order: drift, lumen, quartz, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DLQC
correctif.format.repeat-v1conf 100% · 830ms · $0.000 · 231 tok
question
Write the word "cedar" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDAR/CEDAR
correctif.format.acronym-v1conf 100% · 846ms · $0.000 · 309 tok
question
Take the third letter of each of these words, in order: zephyr, cedar, delta, orbit, flint, 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: PDLBIA
correctif.format.repeat-v1conf 100% · 916ms · $0.000 · 237 tok
question
Write the word "orbit" 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: ORBIT/ORBIT/ORBIT/ORBIT/ORBIT
correctif.constraints.stack-v1conf 100% · 709ms · $0.001 · 1222 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "orbit" and the last word must be "falcon".
3. Use the word "quartz" 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: orbit the quartz old machine sits quartz silently in the quartz workshop beside rusty falcon
correctif.format.acronym-v1conf 100% · 825ms · $0.000 · 272 tok
question
Take the second letter of each of these words, in order: falcon, prism, lumen, quartz, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ARUUC
correctif.constraints.stack-v1conf 95% · 1.2s · $0.000 · 1054 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "orbit" and the last word must be "drift".
3. Use the word "delta" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbit silent dawn breaks over delta hills delta winds whisper frost paints the world soft and slowly through night still hearts drift
correctif.format.repeat-v1conf 100% · 1.1s · $0.000 · 378 tok
question
Write the word "nova" in uppercase form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NOVA_NOVA_NOVA_NOVA_NOVA_NOVA_NOVA_NOVA
correctif.constraints.stack-v1conf 100% · 629ms · $0.001 · 1867 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "comet" and the last word must be "cedar".
3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet drifts past ember shores, ember sings with wind, ember dies, moon watches silent waves, soft sand whispers night calm cedar
wrongif.format.acronym-v1conf 100% · 108ms · $0.000 · 410 tok
question
Take the third letter of each of these words, in order: echo, drift, lumen, comet, 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: HIMPP
correctif.format.repeat-v1conf 100% · 184ms · $0.000 · 266 tok
question
Write the word "basalt" in capitalized form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BASALT-BASALT-BASALT-BASALT-BASALT-BASALT-BASALT
correctif.format.acronym-v1conf 100% · 1.5s · $0.000 · 320 tok
question
Take the second letter of each of these words, in order: zephyr, echo, flint, prism, 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: ECLRO
correctif.constraints.stack-v1anchorconf 100% · 914ms · $0.001 · 1750 tok
model answer: drift through neon streets lumen glow whispers lumen soft hum lumen night sighs still the city breathes in silent echoes of distant stars orbit
correctif.format.repeat-v1anchorconf 100% · 1.2s · $0.000 · 227 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.acronym-v1anchorconf 100% · 2.8s · $0.000 · 107 tok
model answer: ZDFQ
correctif.format.repeat-v1anchorconf 100% · 1.8s · $0.000 · 294 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
knowledge 27/30 correct
correctknowledge.fr.factbank-v2conf 100% · 777ms · $0.000 · 121 tok
question
Identify the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
wrongknowledge.fr.factbank-v2conf 100% · 820ms · $0.000 · 137 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-Sultan
correctknowledge.fr.factbank-v2conf 100% · 865ms · $0.000 · 155 tok
question
Name the Australian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
wrongknowledge.fr.factbank-v2conf 100% · 127ms · $0.000 · 167 tok
question
Name the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nur-Sultan
correctknowledge.fr.factbank-v2conf 100% · 882ms · $0.000 · 134 tok
question
Name the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 779ms · $0.000 · 136 tok
question
What is the Australian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 738ms · $0.000 · 117 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 Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 163ms · $0.000 · 130 tok
question
Identify the capital of Brazil.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 799ms · $0.000 · 141 tok
question
Identify the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 698ms · $0.000 · 123 tok
question
What is the element whose symbol is Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 129ms · $0.000 · 135 tok
question
Name the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 866ms · $0.000 · 122 tok
question
Name the element whose symbol is Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 748ms · $0.000 · 160 tok
question
Name the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 781ms · $0.000 · 145 tok
question
What is the Swiss capital (de facto)?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 130ms · $0.000 · 88 tok
question
What is the writer of the novel "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 120ms · $0.000 · 211 tok
question
Name the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 110ms · $0.000 · 131 tok
question
Name the capital of Australia.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 119ms · $0.000 · 196 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 Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 822ms · $0.000 · 158 tok
question
Name the Brazilian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 780ms · $0.000 · 238 tok
question
Identify 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: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 110ms · $0.000 · 171 tok
question
Identify 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: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 846ms · $0.000 · 99 tok
question
Identify the Nigerian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 794ms · $0.000 · 120 tok
question
Name the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 329ms · $0.000 · 120 tok
question
What is the author of "Snow Country"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
wrongknowledge.fr.factbank-v2conf 100% · 176ms · $0.000 · 164 tok
question
Identify the Kazakh capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nur-Sultan
correctknowledge.fr.factbank-v2conf 100% · 112ms · $0.000 · 216 tok
question
Identify the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2anchorconf 100% · 551ms · $0.000 · 237 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 154ms · $0.000 · 130 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 278ms · $0.000 · 113 tok
model answer: Lead
correctknowledge.fr.factbank-v2anchorconf 100% · 1.0s · $0.000 · 113 tok
model answer: Antimony
math 30/30 correct
correctmath.percent.chain-v2conf 95% · 185ms · $0.000 · 620 tok
question
An inventory starts at 15000 units. The warehouse was painted 10 years ago. In the first month the inventory grows by 8%. The delivery van has a 169-liter fuel tank. The next month it shrinks by 29%, 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: 16447.86
correctmath.chained.pipeline-v1conf 100% · 752ms · $0.000 · 506 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 53 × 78.
Step 2: Q = P × 7 − 389.
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: 4081
correctmath.counterfactual.base-v1conf 100% · 847ms · $0.000 · 711 tok
question
Work strictly in base 9. Multiply the base-9 numbers 80 and 61. 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: 5380
correctmath.algebra.system-v2conf 100% · 846ms · $0.000 · 668 tok
question
Solve the system, then answer the derived question.

6x + 8y = 352
7x − 6y = -80

What is the value of 3x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -112
correctmath.counterfactual.base-v1conf 100% · 297ms · $0.000 · 635 tok
question
Work strictly in base 13. Add the base-13 numbers B24 and 459. 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: 1280
correctmath.chained.pipeline-v1conf 100% · 439ms · $0.000 · 359 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 80 × 68.
Step 2: Q = P × 6 − 723.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 7980
correctmath.arith.chain-v2conf 100% · 1.7s · $0.000 · 455 tok
question
Compute the value of the following expression.

(((91 × 48 − 637) × 9 + 2248) − 28 × 91) × 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: 232953
correctmath.counterfactual.base-v1conf 100% · 445ms · $0.000 · 572 tok
question
Work strictly in base 9. Add the base-9 numbers 1305 and 1400. 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: 2705
correctmath.percent.chain-v2conf 100% · 1.4s · $0.001 · 1385 tok
question
An inventory starts at 53000 units. A rival firm shipped 36 unrelated parcels the same week. In the first month the inventory grows by 44%. The delivery van has a 103-liter fuel tank. The next month it shrinks by 24%, and the month after it grows by 11%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 64383.55
correctmath.algebra.system-v2conf 100% · 1.2s · $0.000 · 448 tok
question
Solve the system, then answer the derived question.

8x + 7y = 164
7x − 7y = -119

What is the value of 2x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -34
correctmath.arith.chain-v2conf 100% · 805ms · $0.000 · 490 tok
question
Work out the exact value of this expression.

(((28 × 24 − 923) × 9 + 4420) − 37 × 94) × 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: -7902
correctmath.arith.chain-v2conf 100% · 212ms · $0.000 · 496 tok
question
Calculate the following. Show your reasoning, then answer.

(((37 × 41 − 436) × 3 + 7071) − 30 × 26) × 5

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 47670
correctmath.chained.pipeline-v1conf 100% · 765ms · $0.000 · 325 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 65 × 29.
Step 2: Q = P × 9 − 381.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3320
correctmath.counterfactual.base-v1conf 95% · 770ms · $0.000 · 512 tok
question
Work strictly in base 13. Multiply the base-13 numbers 2C and 4C. 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: 1151
correctmath.percent.chain-v2conf 95% · 724ms · $0.000 · 1036 tok
question
An inventory starts at 4000 units. Each pallet weighs about 45 grams more when wet. In the first month the inventory grows by 39%. Each pallet weighs about 141 grams more when wet. The next month it shrinks by 19%, and the month after it grows by 9%. 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: 4908.92
correctmath.algebra.system-v2conf 100% · 736ms · $0.000 · 338 tok
question
Solve the system, then answer the derived question.

6x + 4y = -120
2x − 6y = 180

What is the value of 5x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 150
correctmath.arith.chain-v2conf 100% · 772ms · $0.000 · 685 tok
question
Calculate the following. Show your reasoning, then answer.

(((59 × 32 − 813) × 5 + 5617) − 57 × 23) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 29043
correctmath.chained.pipeline-v1conf 100% · 807ms · $0.000 · 472 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 84 × 48.
Step 2: Q = P × 9 − 517.
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: 5111
correctmath.percent.chain-v2anchorconf 95% · 615ms · $0.000 · 925 tok
model answer: 61896.52
correctmath.percent.chain-v2conf 95% · 848ms · $0.000 · 707 tok
question
An inventory starts at 91000 units. Each pallet weighs about 22 grams more when wet. In the first month the inventory grows by 12%. The company was founded 82 kilometers from the port. The next month it shrinks by 24%, and the month after it grows by 16%. 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: 89852.67
correctmath.algebra.system-v2conf 100% · 880ms · $0.000 · 317 tok
question
Solve the system, then answer the derived question.

8x + 9y = 82
4x − 3y = 26

What is the value of 5x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 32
correctmath.chained.pipeline-v1conf 100% · 752ms · $0.000 · 245 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 12 × 25.
Step 2: Q = P × 8 − 747.
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: 551
correctmath.counterfactual.base-v1conf 100% · 801ms · $0.000 · 784 tok
question
Work strictly in base 9. Add the base-9 numbers 2684 and 813. 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: 3607
correctmath.percent.chain-v2conf 100% · 1.1s · $0.000 · 569 tok
question
An inventory starts at 30000 units. A rival firm shipped 19 unrelated parcels the same week. In the first month the inventory grows by 44%. The warehouse was painted 126 years ago. The next month it shrinks by 45%, and the month after it grows by 14%. 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: 27086.4
correctmath.algebra.system-v2conf 100% · 173ms · $0.000 · 273 tok
question
Solve the system, then answer the derived question.

6x + 2y = 108
2x − 2y = 28

What is the value of 2x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 22
correctmath.arith.chain-v2anchorconf 100% · 5.3s · $0.000 · 657 tok
model answer: 108153
correctmath.arith.chain-v2conf 100% · 893ms · $0.000 · 599 tok
question
Compute the value of the following expression.

(((92 × 89 − 423) × 3 + 4019) − 64 × 57) × 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: 47332
correctmath.chained.pipeline-v1conf 100% · 819ms · $0.000 · 330 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 60 × 77.
Step 2: Q = P × 3 − 657.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1653
correctmath.counterfactual.base-v1anchorconf 100% · 120ms · $0.000 · 994 tok
model answer: 11236
correctmath.algebra.system-v2anchorconf 100% · 131ms · $0.000 · 332 tok
model answer: 87
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 968ms · $0.000 · 281 tok
question
A number is written in French: « trois cent quatre-vingt-quatorze ». Another is written in Spanish: « cuatrocientos quince ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -21
correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 158 tok
question
Compute 306 + 325, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos treinta y uno
correctmultilingual.wordnum-v1conf 100% · 1.3s · $0.000 · 283 tok
question
A number is written in French: « huit cent soixante-dix-neuf ». Another is written in Spanish: « seiscientos sesenta y dos ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1541
correctmultilingual.numword-v2conf 100% · 778ms · $0.000 · 296 tok
question
Compute 274 + 233, 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 sept
correctmultilingual.wordnum-v1conf 100% · 1.9s · $0.000 · 234 tok
question
A number is written in French: « cinq cent trente-trois ». Another is written in Spanish: « trescientos ochenta y siete ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 920
correctmultilingual.numword-v2conf 100% · 804ms · $0.000 · 277 tok
question
Compute 297 + 282, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent soixante-dix-neuf
correctmultilingual.wordnum-v1conf 100% · 893ms · $0.000 · 187 tok
question
A number is written in French: « huit cent soixante-cinq ». Another is written in Spanish: « setecientos cinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1570
correctmultilingual.wordnum-v1conf 100% · 2.4s · $0.000 · 235 tok
question
A number is written in French: « cent cinquante-deux ». Another is written in Spanish: « ciento veintitrés ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 275
correctmultilingual.numword-v2conf 100% · 1.9s · $0.000 · 111 tok
question
Compute 473 + 366, 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: ochocientos treinta y nueve
correctmultilingual.numword-v2conf 100% · 1.3s · $0.000 · 162 tok
question
Compute 81 + 175, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent cinquante-six
correctmultilingual.numword-v2conf 100% · 143ms · $0.000 · 194 tok
question
Compute 78 + 194, 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 dos
correctmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 305 tok
question
A number is written in French: « cinq cent quatre-vingt-seize ». Another is written in Spanish: « seiscientos ochenta 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: -88
correctmultilingual.numword-v2conf 100% · 884ms · $0.000 · 123 tok
question
Compute 117 + 388, 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 cinco
correctmultilingual.wordnum-v1conf 100% · 797ms · $0.000 · 257 tok
question
A number is written in French: « quatre-vingt-un ». Another is written in Spanish: « doscientos sesenta y dos ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -181
correctmultilingual.wordnum-v1conf 100% · 889ms · $0.000 · 237 tok
question
A number is written in French: « huit cent vingt-six ». Another is written in Spanish: « sesenta y dos ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 888
correctmultilingual.numword-v2conf 100% · 3.2s · $0.000 · 140 tok
question
Compute 94 + 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: cuatrocientos cuarenta y tres
correctmultilingual.wordnum-v1conf 100% · 1.0s · $0.000 · 283 tok
question
A number is written in French: « sept cent quatre-vingt-dix-sept ». Another is written in Spanish: « ochocientos noventa 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: -96
correctmultilingual.numword-v2conf 100% · 817ms · $0.000 · 181 tok
question
Compute 150 + 448, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos noventa y ocho
correctmultilingual.wordnum-v1conf 100% · 894ms · $0.000 · 134 tok
question
A number is written in French: « six cent quinze ». Another is written in Spanish: « noventa y nueve ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 714
correctmultilingual.numword-v2conf 100% · 728ms · $0.000 · 158 tok
question
Compute 436 + 300, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: sept cent trente-six
correctmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 206 tok
question
A number is written in French: « deux cent soixante-quatorze ». Another is written in Spanish: « setecientos veintitrés ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -449
correctmultilingual.wordnum-v1conf 100% · 425ms · $0.000 · 246 tok
question
A number is written in French: « trois cent trente-deux ». Another is written in Spanish: « doscientos veinte ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 552
correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 207 tok
question
Compute 110 + 306, 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 seize
correctmultilingual.numword-v2conf 100% · 961ms · $0.000 · 219 tok
question
Compute 274 + 75, 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 quarante-neuf
correctmultilingual.numword-v2conf 100% · 144ms · $0.000 · 165 tok
question
Compute 313 + 342, 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 cincuenta y cinco
correctmultilingual.wordnum-v1anchorconf 100% · 147ms · $0.000 · 269 tok
model answer: 150
correctmultilingual.wordnum-v1conf 100% · 842ms · $0.000 · 413 tok
question
A number is written in French: « trois cent quatre-vingt-douze ». Another is written in Spanish: « setecientos 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: -346
correctmultilingual.numword-v2anchorconf 100% · 780ms · $0.000 · 194 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.numword-v2anchorconf 100% · 133ms · $0.000 · 195 tok
model answer: seiscientos ocho
correctmultilingual.wordnum-v1anchorconf 100% · 1.0s · $0.000 · 326 tok
model answer: 762
reasoning 29/30 correct
truncatedreasoning.deduction.order-v2conf · 107ms · $0.007 · 16384 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Jonas is taller than Tessa. Bruno is taller than Tessa. Tessa is taller than Dara. Mona is heavier than everyone here, but Mona is not being ranked. Ola is taller than Kira. Jonas is taller than Ola. Kira is taller than Bruno. Jonas is taller than Bruno. Ola is taller than Bruno. Chen is taller than Jonas. 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: (none extracted)
correctreasoning.deduction.position-v1conf 100% · 121ms · $0.000 · 323 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Nadir. Jonas is directly ahead of Mona. Liam is number 1 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.order-v2conf 95% · 228ms · $0.000 · 745 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Mona is heavier than Jonas. Jonas is heavier than Liam. Liam is heavier than Bruno. Jonas is heavier than Liam. Ola is heavier than Mona. Jonas is heavier than Dara. Liam is heavier than Sami. Sami is heavier than Bruno. Tessa is taller than everyone here, but Tessa is not being ranked. Dara is heavier than Liam. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 100% · 762ms · $0.000 · 314 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Alice. Alice is number 2 in the queue. Ines is directly ahead of Nadir. 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: Alice
correctreasoning.deduction.order-v2conf 95% · 764ms · $0.000 · 1209 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Goran. Dara is faster than everyone here, but Dara is not being ranked. Ines is taller than Hana. Goran is taller than Alice. Goran is taller than Quinn. Chen is taller than Hana. Ines is taller than Chen. Hana is taller than Priya. Quinn is taller than Alice. Priya is taller than Goran. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Goran
correctreasoning.deduction.position-v1conf 100% · 94ms · $0.000 · 220 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 3 in the queue. Chen is directly ahead of Rosa. Rosa is directly ahead of Hana. 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: Rosa
correctreasoning.deduction.position-v1conf 100% · 495ms · $0.000 · 275 tok
question
Four people stand in a queue (number 1 is the front). Alice is number 2 in the queue. Hana is directly ahead of Alice. Mona is directly ahead of Ola. 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: Ola
correctreasoning.deduction.order-v2conf 100% · 846ms · $0.000 · 1139 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Kira. Rosa is older than Emil. Kira is older than Liam. Ola is heavier than everyone here, but Ola is not being ranked. Kira is older than Farah. Farah is older than Liam. Emil is older than Mona. Emil is older than Liam. Goran is older than Rosa. Mona is older than Kira. 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: Kira
correctreasoning.deduction.position-v1conf 100% · 1.7s · $0.000 · 364 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Priya. Priya is directly ahead of Ines. Liam 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: Chen
correctreasoning.deduction.order-v2conf 100% · 2.7s · $0.000 · 695 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Mona. Kira is taller than Dara. Mona is taller than Ola. Emil is older than everyone here, but Emil is not being ranked. Kira is taller than Mona. Rosa is taller than Hana. Ola is taller than Hana. Chen is taller than Rosa. Rosa is taller than Hana. Dara is taller than Chen. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DARA
correctreasoning.deduction.order-v2conf 100% · 830ms · $0.000 · 1006 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Bruno. Tessa is faster than Sami. Sami is faster than Liam. Emil is faster than Tessa. Liam is faster than Nadir. Emil is faster than Liam. Bruno is faster than Nadir. Farah is taller than everyone here, but Farah is not being ranked. Ola is faster than Emil. Emil is faster than Sami. 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: Emil
correctreasoning.deduction.position-v1conf 100% · 762ms · $0.000 · 185 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Bruno. Chen is directly ahead of Emil. Emil is number 2 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.order-v2conf 95% · 119ms · $0.000 · 702 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Mona is heavier than Jonas. Liam is older than everyone here, but Liam is not being ranked. Chen is heavier than Ola. Ola is heavier than Mona. Rosa is heavier than Chen. Chen is heavier than Mona. Mona is heavier than Jonas. Priya is heavier than Jonas. Kira is heavier than Rosa. Mona is heavier than Priya. 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: Rosa
correctreasoning.deduction.position-v1conf 100% · 264ms · $0.000 · 267 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 2 in the queue. Farah is directly ahead of Rosa. Bruno is directly ahead of Tessa. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.order-v2conf 100% · 100ms · $0.001 · 1897 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Nadir is taller than everyone here, but Nadir is not being ranked. Priya is heavier than Liam. Bruno is heavier than Hana. Dara is heavier than Quinn. Ines is heavier than Quinn. Liam is heavier than Dara. Liam is heavier than Quinn. Hana is heavier than Priya. Dara is heavier than Ines. Hana is heavier than Dara. 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: Ines
correctreasoning.deduction.position-v1conf 100% · 121ms · $0.000 · 308 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Ines. Dara is number 3 in the queue. Ines is directly ahead of Dara. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.position-v1conf 100% · 128ms · $0.000 · 193 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Mona. Mona is directly ahead of Emil. Emil is number 3 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 100% · 1.4s · $0.000 · 672 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Nadir is taller than Ola. Jonas is taller than Ola. Tessa is taller than Jonas. Sami is faster than everyone here, but Sami is not being ranked. Goran is taller than Hana. Hana is taller than Ola. Hana is taller than Tessa. Jonas is taller than Nadir. Mona is taller than Goran. Goran is taller than Ola. 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: Goran
correctreasoning.deduction.position-v1conf 100% · 141ms · $0.000 · 395 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Ines. Tessa is directly ahead of Kira. Alice is number 4 in the queue. Ines is directly ahead of Alice. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 914 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Tessa. Jonas is taller than Liam. Liam is taller than Tessa. Jonas is taller than Priya. Alice is taller than Rosa. Farah is faster than everyone here, but Farah is not being ranked. Sami is taller than Alice. Rosa is taller than Jonas. Liam is taller than Priya. Priya is taller than Tessa. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.position-v1conf 100% · 2.6s · $0.000 · 162 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Rosa. Rosa is number 2 in the queue. Tessa is directly ahead of Hana. 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: Rosa
correctreasoning.deduction.position-v1conf 100% · 973ms · $0.000 · 311 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Kira. Priya is number 2 in the queue. Bruno is directly ahead of Priya. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 100% · 765ms · $0.000 · 1040 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Goran. Sami is taller than Goran. Tessa is taller than Priya. Alice is taller than Kira. Rosa is taller than Tessa. Kira is taller than Rosa. Priya is taller than Goran. Sami is taller than Alice. Sami is taller than Tessa. Ines is older than everyone here, but Ines is not being ranked. 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: Kira
correctreasoning.deduction.order-v2conf 100% · 1.1s · $0.000 · 823 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Mona. Quinn is older than everyone here, but Quinn is not being ranked. Ines is taller than Emil. Jonas is taller than Tessa. Priya is taller than Ines. Tessa is taller than Alice. Emil is taller than Jonas. Jonas is taller than Mona. Ines is taller than Jonas. Ines is taller than Mona. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.position-v1anchorconf 100% · 3.4s · $0.000 · 591 tok
model answer: Quinn
correctreasoning.deduction.position-v1conf 100% · 151ms · $0.000 · 347 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Priya. Alice is number 3 in the queue. Priya is directly ahead of Alice. 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: Dara
correctreasoning.deduction.order-v2conf 100% · 768ms · $0.001 · 1280 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is older than Rosa. Ola is older than Alice. Chen is older than Hana. Ines is older than Ola. Nadir is older than Rosa. Priya is heavier than everyone here, but Priya is not being ranked. Nadir is older than Ines. Chen is older than Ola. Hana is older than Ines. Nadir is older than Chen. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.order-v2anchorconf 100% · 137ms · $0.001 · 1296 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 122ms · $0.000 · 310 tok
model answer: Farah
correctreasoning.deduction.order-v2anchorconf 100% · 749ms · $0.000 · 1097 tok
model answer: Mona
terminal 26/30 correct
truncatedterminal.fs.tree-v1conf · 747ms · $0.007 · 16384 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/build`, `/proj/src`):

```
/proj/build/main.txt
/proj/build/todo.md
/proj/conf/report.md
/proj/notes.log
/proj/util.md
```

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

```sh
cp build/todo.md src/
cp util.md src/
cp notes.log build/
cd .
mv build/todo.md ./
touch build/main-1.cfg
rm build/main.txt
cd build
mkdir -p ../../proj/logs-3
mv ../../proj/conf/report.md ../../proj/conf/notes-9.txt
cd ../../proj/logs-3
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 95% · 427ms · $0.000 · 843 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
false && echo A || echo B
test -f app.txt && echo C || echo D
grep -q coral notes.txt && 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: B C F G Z exit:0
correctterminal.fs.tree-v1conf 100% · 729ms · $0.001 · 2375 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/docs`, `/proj/assets`):

```
/proj/assets/main.md
/proj/assets/todo.log
/proj/docs/setup.md
/proj/draft.txt
/proj/util.md
```

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

```sh
mkdir -p conf/docs-9
cd conf
rm ../../proj/draft.txt
cd .
mkdir -p ../../proj/docs-2
cp ../../proj/docs/setup.md docs-9/
mv ../../proj/docs/setup.md ../../proj/docs/todo-2.cfg
touch ../../proj/docs/index-5.log
rm ../../proj/docs/index-5.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/main.md /proj/assets/todo.log /proj/conf/docs-9/setup.md /proj/docs/todo-2.cfg /proj/util.md
correctterminal.pipeline.predict-v1conf 100% · 1.0s · $0.000 · 743 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,legal,94,46
bo,hr,33,64
ned,ops,91,94
hal,sales,35,18
gus,sales,86,34
kim,legal,93,86
lou,eng,114,91
dev,hr,13,65
eli,eng,15,36
fay,sales,103,97
ana,sales,68,67
cy,hr,18,63
max,legal,60,62
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,sales,68,67 gus,sales,86,34 fay,sales,103,97
correctterminal.exit.chain-v1conf 100% · 731ms · $0.000 · 901 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F H exit:1
correctterminal.exit.chain-v1conf 95% · 1.1s · $0.000 · 966 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E exit:1
wrongterminal.pipeline.predict-v1conf 100% · 771ms · $0.000 · 424 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,legal,108,37
lou,ops,110,62
cy,legal,112,35
fay,hr,29,62
kim,sales,55,48
hal,sales,67,22
max,legal,110,49
eli,eng,50,55
bo,ops,14,15
ned,legal,17,45
gus,legal,70,81
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 95% · 1.1s · $0.000 · 895 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/docs`, `/proj/assets`):

```
/proj/assets/index.cfg
/proj/conf/report.log
/proj/conf/util.cfg
/proj/notes.log
/proj/todo.log
```

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

```sh
rm conf/report.log
cp todo.log docs/
mkdir -p conf/src-3
rm notes.log
mv conf/util.cfg conf/src-3/
rm assets/index.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/src-3/util.cfg /proj/docs/todo.log /proj/todo.log
correctterminal.pipeline.predict-v1conf 100% · 902ms · $0.000 · 494 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,hr,102,39
jon,sales,101,73
max,hr,8,22
fay,ops,59,55
oli,eng,97,19
ivy,ops,102,42
bo,hr,45,56
pam,eng,36,85
ana,eng,108,86
hal,legal,51,82
eli,eng,67,78
lou,sales,63,66
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: fay,ops,59,55 ivy,ops,102,42
correctterminal.exit.chain-v1conf 95% · 2.4s · $0.000 · 763 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
test -f tmp.txt && echo A || echo B
test -f app.txt && echo C || echo D
false && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F exit:1
correctterminal.fs.tree-v1conf 98% · 916ms · $0.001 · 1220 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/build`):

```
/proj/assets/index.md
/proj/build/setup.md
/proj/conf/util.cfg
/proj/main.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
mv todo.txt ./
cd build
mv ../../proj/conf/util.cfg ../../proj/assets/
rm ../../proj/main.log
rm ../../proj/assets/index.md
touch main-9.md
cd ../../proj
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/util.cfg /proj/build/main-9.md /proj/build/setup.md /proj/todo.txt
correctterminal.exit.chain-v1conf 100% · 170ms · $0.000 · 1067 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E exit:1
correctterminal.pipeline.predict-v1conf 100% · 773ms · $0.000 · 525 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,eng,71,88
bo,hr,82,82
oli,eng,72,57
ana,legal,13,39
eli,eng,116,46
fay,sales,106,72
lou,hr,98,86
dev,eng,69,45
hal,legal,116,37
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | sort -t, -k3,3n | tail -n 2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,legal,13,39 hal,legal,116,37
correctterminal.fs.tree-v1conf 98% · 807ms · $0.001 · 1420 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/logs`, `/proj/conf`):

```
/proj/conf/notes.cfg
/proj/src/draft.cfg
/proj/src/report.md
/proj/todo.md
/proj/util.log
```

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

```sh
mv conf/notes.cfg conf/
cd conf
touch ../../proj/src/main-9.md
rm ../../proj/todo.md
rm ../../proj/src/main-9.md
mkdir -p ../../proj/logs/logs-5
cd ../../proj
cd src
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/notes.cfg /proj/src/draft.cfg /proj/src/report.md /proj/util.log
wrongterminal.fs.tree-v1conf 99% · 124ms · $0.002 · 4962 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/conf`):

```
/proj/assets/index.cfg
/proj/conf/draft.txt
/proj/logs/setup.md
/proj/main.md
/proj/report.txt
```

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

```sh
touch report-9.log
cd logs
touch ../../proj/notes-9.cfg
rm ../../proj/report.txt
cd ../../proj/conf
touch ../../proj/logs/todo-7.cfg
mkdir -p ../../proj/assets/assets-8
mv ../../proj/logs/todo-7.cfg ../../proj/
cd ../../proj/logs
touch ../../proj/conf/draft-7.cfg
touch ../../proj/assets/assets-8/setup-8.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/assets-8/setup-8.cfg /proj/assets/index.cfg /proj/conf/draft-7.cfg /proj/conf/draft.txt /proj/logs/setup.md /proj/main.md /proj/notes-9.cfg /proj/report-9.log /proj/todo-7.cfg CONFIDENCE: 99
correctterminal.fs.tree-v1conf 95% · 758ms · $0.002 · 5106 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/assets`, `/proj/conf`):

```
/proj/assets/draft.md
/proj/assets/setup.txt
/proj/notes.txt
/proj/src/todo.txt
/proj/util.log
```

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

```sh
mv src/todo.txt src/util-2.cfg
cd assets
mkdir -p ../../proj/src/docs-7
cp ../../proj/notes.txt ../../proj/src/
cd .
mv ../../proj/src/notes.txt ../../proj/src/notes-1.md
touch ../../proj/index-1.txt
cp ../../proj/src/notes-1.md ../../proj/conf/
cp ../../proj/src/notes-1.md ./
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft.md /proj/assets/notes-1.md /proj/assets/setup.txt /proj/conf/notes-1.md /proj/index-1.txt /proj/notes.txt /proj/src/notes-1.md /proj/src/util-2.cfg /proj/util.log
correctterminal.pipeline.predict-v1conf 100% · 802ms · $0.000 · 412 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,hr,116,10
fay,ops,104,49
ivy,ops,24,71
ana,sales,56,65
kim,ops,78,76
oli,legal,108,88
max,sales,103,64
cy,eng,110,48
hal,legal,68,26
gus,sales,65,91
pam,eng,102,72
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 45 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3
correctterminal.exit.chain-v1conf 95% · 782ms · $0.000 · 1005 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E exit:1
correctterminal.pipeline.predict-v1conf 100% · 841ms · $0.000 · 630 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,ops,75,32
ivy,hr,93,57
jon,hr,9,83
oli,sales,90,77
lou,eng,33,48
ned,hr,93,51
bo,eng,31,43
pam,legal,95,40
cy,hr,35,55
max,ops,14,58
hal,eng,43,41
kim,ops,44,86
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 230
correctterminal.exit.chain-v1conf 95% · 776ms · $0.000 · 977 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
true && echo C || echo D
grep -q basil notes.txt && echo E || echo F
grep -q dune notes.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: A C F H Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 753ms · $0.000 · 847 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,ops,64,18
ivy,hr,64,60
oli,eng,9,35
bo,ops,28,75
kim,hr,93,87
dev,eng,19,65
fay,ops,46,68
ned,hr,66,13
gus,legal,100,72
max,ops,99,79
jon,hr,12,70
lou,eng,7,40
eli,hr,63,20
ana,hr,106,45
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: lou,eng,7,40 oli,eng,9,35 dev,eng,19,65
correctterminal.exit.chain-v1conf 100% · 827ms · $0.000 · 1000 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
grep -q coral notes.txt && echo C || echo D
false && echo E || echo F
grep -q amber notes.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: B C F H Z exit:0
correctterminal.fs.tree-v1conf 95% · 1.2s · $0.001 · 1700 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/build`, `/proj/src`):

```
/proj/conf/index.log
/proj/conf/notes.cfg
/proj/draft.log
/proj/report.cfg
/proj/src/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 src/util.txt src/
mkdir -p conf/build-2
mv report.cfg main-4.md
rm conf/notes.cfg
mkdir -p conf-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: /proj/conf/index.log /proj/draft.log /proj/main-4.md /proj/src/util.txt
correctterminal.fs.tree-v1conf 95% · 139ms · $0.001 · 2665 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/logs`):

```
/proj/assets/notes.cfg
/proj/docs/draft.log
/proj/logs/setup.txt
/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 docs/logs-1
cd docs/logs-1
cp ../../../proj/main.log ../../../proj/assets/
touch ../../../proj/main-3.cfg
mkdir -p ../../../proj/logs/conf-8
cd ../../../proj/docs
touch logs-1/todo-7.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/main.log /proj/assets/notes.cfg /proj/docs/draft.log /proj/docs/logs-1/todo-7.md /proj/logs/setup.txt /proj/main-3.cfg /proj/main.log /proj/report.cfg
correctterminal.pipeline.predict-v1conf 100% · 978ms · $0.000 · 663 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,hr,41,33
fay,ops,4,99
ana,sales,46,42
hal,sales,13,67
lou,hr,7,51
jon,hr,95,34
ned,eng,13,87
bo,legal,45,23
cy,hr,103,46
oli,ops,119,58
max,sales,30,84
gus,sales,52,32
kim,legal,68,72
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: max,sales,30,84 ana,sales,46,42 gus,sales,52,32
correctterminal.exit.chain-v1conf 95% · 986ms · $0.001 · 1565 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
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 amber notes.txt && echo A || echo B
test -f ghost.txt && echo C || echo D
true && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E exit:1
wrongterminal.pipeline.predict-v1anchorconf 100% · 808ms · $0.000 · 762 tok
model answer: (none extracted)
correctterminal.exit.chain-v1anchorconf 95% · 783ms · $0.000 · 939 tok
model answer: B D E G exit:1
correctterminal.fs.tree-v1anchorconf 95% · 1.3s · $0.001 · 1424 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
correctterminal.pipeline.predict-v1anchorconf 100% · 1.1s · $0.000 · 664 tok
model answer: 1

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