← Leaderboard

deepseek logoDeepSeek: DeepSeek V3.2

deepseek/deepseek-v3.2 · deepseek · context 163 840 · in $0.269/1M · out $0.400/1M

Global Index

630

95% CI [585674] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic565 [461670]
0.4430.660.510.000993ms$0.352
code572 [445698]
0.5860.870.850.192889ms$0.217
instruction following502 [397607]
0.3890.780.730.0961.1s$0.052
knowledge727 [554900]
0.5490.981.000.0001.1s$0.026
math799 [643956]
0.6860.921.000.0001.1s$0.130
multilingual624 [499749]
0.4260.870.880.000933ms$0.051
reasoning401 [312490]
0.2890.770.640.1351.0s$0.094
terminal847 [746947]
0.8030.980.960.0381.2s$0.261

Every answer, every test

Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.

agentic 17/30 correct
TimeoutError: The operation was aborted due to timeoutagentic.tools.context-load-v1conf · · · 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 (287 records, format: id|customer|region|item|qty|status):
```
2178|gale|south|valve|61|pending
2262|birch|east|pump|92|shipped
2208|gale|south|frame|84|shipped
2241|ember|north|gasket|53|held
1708|acme|west|cable|97|shipped
2513|juno|north|frame|58|shipped
2390|ionic|west|rotor|93|shipped
1627|dorian|west|sensor|26|pending
1715|ember|south|cable|10|shipped
2040|dorian|east|panel|93|shipped
2023|ember|west|pump|47|shipped
1640|ionic|west|frame|36|paid
2496|birch|east|rotor|36|held
1757|gale|south|frame|38|shipped
1824|ionic|east|panel|20|pending
1837|fulton|north|gasket|62|pending
1431|acme|north|valve|36|pending
1357|dorian|north|cable|24|pending
1797|ionic|west|sensor|68|shipped
2232|harbor|east|rotor|20|held
1844|acme|west|frame|78|pending
2120|birch|south|pump|59|pending
1486|dorian|east|cable|43|held
1712|gale|east|frame|11|paid
1749|harbor|east|frame|19|shipped
2248|gale|east|pump|59|paid
2471|ember|north|cable|79|held
2035|dorian|east|sensor|50|pending
2095|dorian|east|gasket|74|paid
1444|harbor|north|sensor|10|shipped
1425|juno|east|sensor|91|pending
1371|dorian|east|cable|65|pending
2106|acme|south|rotor|47|pending
1613|ember|east|frame|50|paid
2354|harbor|west|gasket|79|pending
1694|dorian|west|sensor|36|pending
2490|fulton|east|cable|31|held
2342|juno|east|valve|21|paid
2195|harbor|west|frame|34|held
1471|birch|north|valve|81|held
1999|ionic|east|cable|59|shipped
2291|fulton|west|pump|88|shipped
2484|cobalt|north|rotor|29|held
1729|juno|south|cable|49|paid
2476|cobalt|south|gasket|58|held
1933|birch|south|gasket|61|paid
2398|acme|west|cable|25|held
2163|juno|south|gasket|52|pending
1577|dorian|west|pump|32|paid
1735|cobalt|east|sensor|56|paid
1523|ionic|north|sensor|94|shipped
1342|dorian|west|rotor|75|pending
2257|cobalt|east|cable|64|held
2384|gale|west|pump|76|held
1512|gale|west|gasket|19|paid
1790|cobalt|south|frame|30|held
1456|harbor|south|rotor|73|pending
2057|dorian|west|gasket|96|shipped
2009|dorian|west|gasket|68|shipped
1679|juno|east|gasket|37|pending
1923|juno|east|pump|78|paid
1967|dorian|north|panel|45|held
1765|fulton|south|frame|84|held
1891|dorian|south|gasket|31|held
1484|birch|east|panel|31|pending
1829|gale|west|valve|10|paid
1440|fulton|west|pump|22|paid
1632|acme|south|sensor|44|paid
1984|harbor|east|rotor|12|pending
1692|birch|east|sensor|92|paid
2190|ember|south|panel|40|held
1940|birch|west|rotor|65|held
2170|birch|south|sensor|51|shipped
1772|cobalt|west|gasket|96|paid
1573|ionic|west|pump|87|shipped
1786|gale|south|panel|62|pending
2251|dorian|north|pump|33|held
2294|harbor|north|sensor|40|shipped
2492|ionic|east|frame|81|shipped
1499|ember|west|pump|11|held
1374|dorian|west|valve|77|held
1445|ember|north|rotor|34|shipped
1747|fulton|east|panel|31|held
1709|ember|east|pump|83|pending
2263|birch|north|cable|28|pending
1720|cobalt|south|pump|52|pending
2150|birch|west|valve|77|held
2309|acme|west|gasket|30|paid
1542|acme|south|pump|78|held
1568|juno|west|rotor|66|pending
1887|dorian|south|sensor|28|paid
1752|harbor|south|frame|69|held
1727|fulton|west|rotor|45|paid
1823|juno|east|panel|95|pending
2048|dorian|north|gasket|52|held
2116|acme|east|frame|53|shipped
2142|harbor|west|valve|27|held
1393|gale|west|rotor|54|paid
2056|ionic|east|sensor|96|shipped
1688|fulton|north|valve|20|shipped
2003|acme|west|rotor|87|paid
1722|acme|west|panel|64|pending
1805|gale|north|rotor|28|paid
1463|birch|east|valve|14|paid
1871|cobalt|west|pump|11|held
1979|ionic|south|frame|74|pending
1815|harbor|north|cable|67|held
2197|juno|south|panel|79|held
2464|ionic|north|frame|58|pending
1880|acme|west|pump|65|pending
1858|fulton|north|valve|17|paid
1897|juno|east|frame|15|pending
1562|gale|east|sensor|63|pending
1991|birch|north|cable|52|paid
1619|birch|west|panel|16|pending
1874|juno|north|valve|31|shipped
1442|acme|north|sensor|95|paid
1510|birch|east|sensor|87|held
2140|dorian|north|rotor|57|shipped
1369|dorian|west|sensor|14|pending
1954|ionic|north|cable|53|pending
2125|harbor|west|gasket|91|shipped
2156|fulton|north|rotor|85|paid
1856|dorian|south|panel|84|shipped
2188|juno|south|sensor|84|pending
2454|harbor|west|cable|66|pending
1549|harbor|south|rotor|94|pending
2200|fulton|east|cable|93|held
2225|birch|north|rotor|98|held
2062|cobalt|south|gasket|10|paid
1609|birch|south|pump|77|paid
2503|dorian|east|pump|21|pending
2330|ionic|south|pump|62|shipped
1737|harbor|north|valve|82|pending
2101|ember|west|rotor|87|paid
1491|cobalt|west|pump|58|paid
1517|acme|north|sensor|27|paid
2087|ionic|east|frame|67|paid
2076|birch|south|gasket|71|shipped
1769|harbor|west|panel|46|held
1601|juno|north|rotor|37|pending
2171|fulton|north|valve|31|shipped
1686|juno|south|cable|64|shipped
2320|gale|east|gasket|99|held
2418|cobalt|east|valve|17|held
2184|birch|west|valve|35|paid
1840|dorian|south|valve|82|paid
2174|ember|west|gasket|32|pending
1900|acme|south|panel|81|held
1401|juno|east|valve|51|pending
2303|birch|south|pump|79|shipped
2151|ionic|north|panel|37|paid
1973|harbor|south|frame|67|pending
2177|cobalt|west|cable|46|pending
1800|cobalt|east|rotor|74|held
2369|harbor|south|cable|64|held
1812|birch|west|valve|81|held
1487|juno|north|valve|42|pending
2335|cobalt|west|pump|88|paid
1668|cobalt|south|cable|74|paid
1545|juno|east|pump|77|paid
1630|ionic|west|frame|23|pending
1960|dorian|south|valve|97|held
1555|fulton|north|gasket|41|paid
2314|harbor|north|cable|29|paid
2348|gale|east|panel|24|paid
1452|harbor|north|rotor|38|paid
1928|ionic|west|panel|23|held
1941|ionic|west|rotor|63|paid
2396|gale|east|rotor|35|shipped
1675|birch|east|cable|74|shipped
2378|juno|south|frame|63|pending
2433|harbor|north|valve|54|held
2231|acme|east|panel|18|paid
2264|juno|south|panel|53|shipped
1947|dorian|east|frame|68|held
2016|fulton|west|gasket|21|pending
1594|gale|west|valve|84|shipped
2051|harbor|north|rotor|65|pending
2270|birch|north|gasket|47|paid
2457|ionic|west|panel|35|shipped
1502|fulton|east|valve|93|held
1465|ionic|north|panel|25|pending
1505|harbor|east|panel|85|paid
1346|dorian|east|rotor|67|pending
2299|birch|north|sensor|74|held
2412|cobalt|south|rotor|94|held
2519|acme|east|sensor|51|held
1648|harbor|north|sensor|38|paid
1697|ember|west|sensor|93|shipped
2032|birch|south|sensor|98|paid
2083|juno|north|gasket|29|paid
1838|birch|south|gasket|97|paid
2437|fulton|east|panel|95|paid
2326|ionic|west|rotor|94|pending
1407|harbor|north|sensor|84|paid
1796|dorian|east|valve|84|held
2473|juno|south|rotor|63|shipped
2277|ionic|south|frame|89|held
1662|birch|east|sensor|27|shipped
1989|gale|west|valve|36|pending
1912|acme|east|panel|97|shipped
2427|ember|west|panel|33|held
2209|gale|north|sensor|58|held
1584|ember|south|rotor|63|shipped
1849|harbor|north|valve|12|paid
1860|dorian|north|frame|22|held
2144|juno|north|panel|32|paid
2026|gale|south|gasket|34|paid
1638|harbor|north|sensor|66|shipped
2405|gale|west|gasket|97|held
2389|fulton|north|rotor|98|pending
1919|acme|west|cable|64|pending
2238|cobalt|west|panel|84|pending
1400|ionic|west|panel|38|paid
2254|juno|north|pump|79|held
1655|gale|east|gasket|76|pending
2364|cobalt|west|gasket|33|held
1519|cobalt|south|sensor|41|held
2480|cobalt|east|valve|56|shipped
1615|birch|south|frame|28|pending
2111|ember|east|cable|18|shipped
1701|juno|west|cable|50|pending
2337|dorian|north|valve|68|held
2226|birch|west|cable|77|paid
2252|fulton|south|rotor|33|pending
2043|juno|south|gasket|88|pending
1596|ember|south|panel|46|held
2141|ionic|west|frame|68|shipped
1641|acme|south|cable|96|paid
2131|cobalt|east|frame|94|pending
2204|juno|south|rotor|68|held
2031|ember|west|gasket|47|paid
2510|fulton|east|gasket|70|paid
2219|fulton|north|valve|93|pending
1604|ember|north|pump|91|shipped
2448|acme|east|cable|98|pending
1381|acme|north|rotor|78|pending
2361|ember|west|sensor|95|shipped
2093|cobalt|south|gasket|76|pending
1740|fulton|west|cable|39|shipped
1354|dorian|west|sensor|21|pending
2425|acme|east|cable|33|pending
2137|ionic|south|cable|38|shipped
2215|gale|north|gasket|91|pending
1777|ionic|south|frame|29|shipped
1822|fulton|east|frame|43|pending
2249|birch|north|gasket|69|held
2104|dorian|west|sensor|96|held
1363|dorian|west|cable|56|shipped
2284|juno|east|cable|88|pending
2328|fulton|north|valve|50|paid
2288|cobalt|east|gasket|69|paid
2094|cobalt|south|cable|78|shipped
2341|cobalt|west|frame|88|pending
1942|juno|north|gasket|54|paid
1515|ember|west|panel|93|shipped
1413|harbor|east|frame|32|shipped
1494|ionic|south|panel|52|paid
2399|acme|north|panel|39|pending
1981|dorian|west|pump|25|held
1536|ember|east|valve|43|paid
1411|acme|east|rotor|24|paid
2365|birch|north|panel|29|pending
1438|gale|east|cable|31|paid
1418|juno|east|rotor|19|held
1998|juno|south|panel|70|pending
2372|gale|north|frame|39|shipped
2413|gale|south|cable|35|paid
2069|ember|west|gasket|52|shipped
1865|juno|west|rotor|93|held
1352|dorian|west|panel|21|held
2442|cobalt|north|sensor|21|held
2394|cobalt|south|sensor|17|held
1588|cobalt|north|panel|55|shipped
1906|fulton|west|pump|68|pending
1761|harbor|west|cable|46|held
1780|ember|west|rotor|28|held
1503|ionic|north|valve|67|shipped
1625|cobalt|east|frame|53|shipped
1867|juno|north|panel|41|paid
1477|cobalt|south|panel|42|paid
2324|harbor|west|gasket|76|shipped
1833|dorian|north|cable|33|paid
1386|ember|south|sensor|96|paid
1377|ionic|east|cable|91|paid
1529|acme|north|gasket|31|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf 85% · 797ms · $0.000 · 214 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $547
- delta: $717
- oscar: $861

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $253 from "lima" to "oscar"
2. pay $538 from "oscar" to "delta"
3. pay $489 from "lima" to "oscar"
4. pay $225 from "lima" to "delta"
5. pay $322 from "delta" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 253}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 538}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 195}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 489}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": -}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 225}}, {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 322}} ]
correctagentic.tools.triage-v1conf · 993ms · $0.000 · 243 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 → silva
- infra → chen
- payments → tanaka

INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "cannot reset password" (category: auth, priority 6)
3. "refund double-charged" (category: payments, priority 3)
4. "cannot reset password" (category: auth, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "silva"}} ]
wrongagentic.tools.context-load-v1conf 100% · 1.2s · $0.001 · 182 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 (185 records, format: id|customer|region|item|qty|status):
```
1780|birch|west|sensor|16|pending
1729|birch|north|rotor|97|shipped
1486|birch|south|frame|94|held
1096|harbor|south|pump|67|pending
1708|harbor|west|panel|85|pending
1168|cobalt|south|cable|21|paid
1435|birch|north|frame|18|paid
1549|cobalt|north|gasket|98|held
1463|juno|south|pump|62|shipped
1812|harbor|east|panel|57|held
1122|acme|north|frame|93|pending
1750|birch|west|panel|88|pending
1216|ember|east|frame|62|paid
1328|juno|west|panel|18|shipped
1154|fulton|north|valve|61|paid
1261|ionic|south|sensor|34|held
1586|dorian|east|rotor|84|pending
1249|harbor|north|gasket|36|pending
1088|harbor|north|frame|72|pending
1686|cobalt|north|pump|90|pending
1562|fulton|east|panel|15|paid
1209|dorian|south|frame|80|held
1343|fulton|north|gasket|99|pending
1436|birch|east|pump|80|pending
1670|fulton|north|panel|18|paid
1638|ember|west|pump|49|paid
1766|acme|north|pump|12|held
1350|ionic|west|panel|26|pending
1312|birch|east|sensor|31|held
1142|ember|east|rotor|89|paid
1223|fulton|west|pump|17|paid
1280|birch|south|panel|56|paid
1126|fulton|west|panel|62|paid
1337|dorian|north|frame|34|shipped
1672|gale|south|valve|71|paid
1536|juno|south|gasket|55|pending
1500|cobalt|west|gasket|23|pending
1082|harbor|east|sensor|56|held
1301|gale|west|pump|29|shipped
1483|ionic|east|cable|56|pending
1564|birch|south|rotor|40|held
1792|dorian|east|gasket|11|held
1235|harbor|east|pump|70|paid
1596|birch|west|gasket|90|held
1807|ionic|north|rotor|11|paid
1117|cobalt|south|rotor|31|shipped
1355|acme|north|pump|58|paid
1354|acme|north|pump|97|paid
1643|fulton|north|pump|87|shipped
1075|harbor|east|cable|23|pending
1791|harbor|east|gasket|39|paid
1615|cobalt|south|pump|82|held
1474|dorian|south|rotor|50|held
1151|juno|west|cable|70|pending
1187|birch|east|valve|93|pending
1543|ember|north|valve|39|held
1778|ember|north|panel|27|shipped
1149|juno|west|gasket|50|shipped
1208|fulton|north|pump|68|pending
1598|acme|west|rotor|48|shipped
1394|juno|north|pump|48|held
1773|fulton|east|panel|39|held
1232|birch|north|pump|92|pending
1161|birch|west|frame|93|held
1296|dorian|south|cable|25|pending
1375|ember|east|rotor|58|held
1651|acme|west|sensor|48|pending
1624|cobalt|west|sensor|52|held
1225|gale|north|sensor|38|paid
1374|harbor|north|sensor|51|paid
1331|dorian|south|gasket|34|pending
1757|ember|west|frame|69|paid
1401|birch|south|gasket|36|paid
1104|harbor|east|frame|15|pending
1692|harbor|east|valve|33|held
1244|ember|south|pump|99|paid
1402|cobalt|east|rotor|67|held
1340|acme|east|frame|90|held
1794|harbor|west|rotor|54|paid
1763|gale|south|valve|68|paid
1478|gale|west|valve|93|shipped
1409|ember|west|gasket|90|shipped
1334|gale|north|cable|89|pending
1647|acme|north|sensor|87|held
1758|juno|east|sensor|19|held
1325|gale|west|valve|74|held
1468|harbor|east|frame|35|held
1457|ember|north|rotor|56|held
1509|acme|east|rotor|30|held
1819|ionic|north|frame|88|paid
1719|cobalt|west|panel|65|shipped
1318|cobalt|west|pump|25|held
1593|cobalt|west|frame|91|pending
1305|fulton|east|valve|60|shipped
1534|harbor|north|pump|69|pending
1083|harbor|east|gasket|97|pending
1579|acme|east|panel|33|pending
1141|ember|west|cable|95|held
1093|harbor|east|cable|42|pending
1411|acme|north|pump|42|paid
1137|ionic|north|pump|72|held
1370|ember|west|gasket|99|held
1130|cobalt|south|frame|31|held
1799|dorian|east|rotor|50|held
1359|birch|west|valve|53|paid
1201|acme|east|valve|27|paid
1256|ember|west|sensor|35|paid
1444|harbor|north|gasket|13|held
1610|gale|west|panel|80|shipped
1076|harbor|west|pump|16|pending
1239|ember|south|frame|22|shipped
1416|gale|west|cable|20|pending
1451|gale|east|gasket|86|held
1679|ember|west|gasket|74|shipped
1473|gale|south|frame|40|shipped
1246|birch|north|panel|26|shipped
1224|cobalt|west|sensor|47|held
1805|acme|west|sensor|71|paid
1779|fulton|east|panel|17|pending
1267|ember|east|gasket|90|paid
1737|cobalt|east|cable|78|pending
1652|cobalt|south|cable|28|pending
1203|juno|south|frame|15|paid
1284|cobalt|east|sensor|55|held
1195|ember|east|pump|30|pending
1556|gale|west|panel|52|pending
1743|juno|south|valve|84|shipped
1489|birch|north|cable|24|paid
1120|juno|north|frame|83|pending
1366|cobalt|west|valve|33|pending
1346|birch|south|rotor|94|paid
1605|acme|west|valve|96|shipped
1101|harbor|east|pump|89|shipped
1786|birch|north|cable|35|shipped
1507|gale|north|rotor|43|shipped
1811|gale|west|sensor|22|paid
1714|ember|west|panel|44|pending
1701|ember|south|frame|64|paid
1470|ember|east|cable|29|paid
1697|acme|south|gasket|85|pending
1528|ember|north|cable|21|shipped
1656|cobalt|east|frame|50|held
1492|ionic|north|panel|10|shipped
1493|ember|east|valve|34|shipped
1112|harbor|east|sensor|74|held
1557|ionic|south|sensor|95|pending
1515|cobalt|west|rotor|53|shipped
1242|gale|west|sensor|66|pending
1392|harbor|east|rotor|59|pending
1382|cobalt|north|cable|19|shipped
1464|ember|west|frame|39|held
1716|dorian|west|panel|74|shipped
1508|cobalt|east|gasket|42|shipped
1222|birch|north|sensor|44|shipped
1320|acme|west|sensor|85|paid
1637|cobalt|east|cable|46|paid
1663|ember|west|gasket|88|held
1386|gale|north|frame|35|shipped
1106|harbor|west|cable|83|pending
1469|cobalt|east|frame|28|pending
1194|birch|west|sensor|41|paid
1363|ember|east|rotor|65|held
1808|harbor|east|rotor|67|pending
1632|harbor|north|frame|31|paid
1175|birch|south|rotor|87|paid
1521|ember|west|sensor|51|paid
1595|juno|west|panel|25|shipped
1722|dorian|west|cable|13|held
1644|fulton|north|cable|71|shipped
1730|ionic|west|gasket|30|paid
1628|fulton|north|frame|89|paid
1772|harbor|west|rotor|25|held
1422|birch|south|rotor|64|paid
1653|dorian|south|valve|81|pending
1570|cobalt|west|valve|39|pending
1621|harbor|west|cable|73|paid
1332|acme|north|valve|16|pending
1291|ember|west|rotor|38|shipped
1576|cobalt|east|frame|49|paid
1090|harbor|east|frame|69|shipped
1439|birch|west|cable|40|held
1180|juno|west|gasket|23|shipped
1274|fulton|south|frame|65|pending
1428|ionic|south|rotor|85|held
1268|cobalt|south|pump|93|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "sensor", "qty": 56}}, {"tool": "restock", "args": {"item": "pump", "qty": 70}}, {"tool": "restock", "args": {"item": "frame", "qty": 69}}, {"tool": "restock", "args": {"item": "gasket", "qty": 97}}, {"tool": "cancel_order", "args": {"order_id": 1093}}, {"tool": "restock", "args": {"item": "rotor", "qty": 59}}, {"tool": "restock", "args": {"item": "rotor", "qty": 67}} ]
correctagentic.tools.deploy-v1conf 100% · 1.0s · $0.000 · 109 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}} ]
correctagentic.tools.context-load-v1conf 100% · 1.6s · $0.001 · 528 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 (196 records, format: id|customer|region|item|qty|status):
```
1414|juno|north|sensor|64|held
1452|acme|west|panel|92|held
1360|dorian|south|gasket|36|paid
1497|gale|west|rotor|41|paid
1692|juno|east|pump|67|paid
1472|cobalt|east|pump|82|pending
1293|birch|south|cable|28|paid
1792|dorian|north|cable|64|paid
1409|dorian|north|gasket|19|paid
1813|juno|north|gasket|19|shipped
1045|harbor|south|gasket|20|pending
1717|birch|west|valve|25|held
1636|dorian|west|rotor|36|shipped
1798|juno|west|sensor|54|shipped
1712|ember|north|sensor|18|held
1769|ionic|north|sensor|67|pending
1177|harbor|west|gasket|86|pending
1089|harbor|south|gasket|42|held
1303|juno|east|gasket|14|held
1346|fulton|west|pump|11|paid
1494|cobalt|south|cable|49|pending
1410|birch|east|pump|86|held
1160|fulton|east|gasket|67|shipped
1776|gale|west|valve|70|shipped
1350|cobalt|south|cable|84|paid
1580|dorian|east|valve|90|pending
1227|dorian|south|pump|86|shipped
1601|ember|north|pump|88|pending
1645|juno|east|sensor|52|pending
1558|dorian|west|sensor|66|shipped
1426|cobalt|east|gasket|88|shipped
1369|ionic|west|frame|57|paid
1653|cobalt|south|pump|29|pending
1260|acme|east|valve|89|paid
1318|fulton|west|sensor|45|held
1103|gale|west|panel|76|held
1805|gale|west|pump|30|shipped
1565|dorian|north|rotor|55|shipped
1314|juno|east|cable|26|pending
1419|dorian|south|panel|22|held
1575|fulton|east|valve|37|held
1208|birch|west|sensor|63|shipped
1705|harbor|south|sensor|37|paid
1643|birch|north|pump|29|held
1534|dorian|north|panel|89|paid
1206|cobalt|west|pump|64|shipped
1056|harbor|west|valve|68|pending
1405|ember|east|valve|63|pending
1199|birch|west|cable|53|held
1507|juno|north|gasket|38|held
1247|gale|north|panel|17|shipped
1132|gale|west|cable|55|paid
1751|juno|east|cable|88|paid
1299|harbor|west|pump|25|pending
1618|ember|south|rotor|71|paid
1684|harbor|west|panel|74|paid
1277|gale|south|gasket|55|shipped
1457|acme|east|panel|87|pending
1244|fulton|north|frame|54|held
1797|ember|east|panel|86|paid
1676|gale|south|rotor|95|shipped
1459|fulton|south|panel|86|held
1614|cobalt|north|panel|60|pending
1477|fulton|south|gasket|97|paid
1577|juno|north|rotor|53|held
1268|cobalt|east|gasket|76|held
1780|fulton|north|frame|72|held
1157|birch|west|pump|70|held
1130|acme|north|cable|46|paid
1809|ember|west|pump|75|paid
1722|fulton|west|rotor|72|shipped
1407|fulton|north|cable|76|held
1623|ember|south|pump|35|held
1630|ember|south|valve|24|pending
1264|ember|north|valve|56|held
1120|harbor|north|cable|10|held
1607|fulton|north|gasket|50|paid
1578|acme|north|cable|58|held
1308|fulton|south|panel|54|held
1786|acme|south|gasket|69|pending
1374|ionic|west|cable|23|paid
1324|dorian|west|gasket|25|shipped
1677|juno|west|panel|38|pending
1128|acme|north|gasket|82|pending
1083|harbor|north|sensor|36|pending
1080|harbor|south|sensor|73|pending
1784|ember|south|frame|80|pending
1517|ionic|west|gasket|21|pending
1730|gale|south|pump|54|paid
1728|harbor|south|sensor|38|paid
1182|acme|east|sensor|73|held
1621|harbor|east|sensor|62|held
1248|gale|east|rotor|29|shipped
1490|juno|north|panel|53|shipped
1274|birch|east|frame|51|paid
1524|cobalt|east|sensor|11|paid
1697|fulton|west|gasket|14|pending
1253|fulton|west|cable|38|held
1760|acme|east|rotor|92|paid
1699|ionic|north|cable|61|paid
1390|cobalt|north|valve|65|pending
1816|ember|south|panel|99|paid
1540|harbor|south|rotor|35|shipped
1757|ionic|south|frame|94|pending
1232|harbor|east|sensor|64|held
1549|acme|east|panel|86|held
1302|cobalt|north|cable|93|held
1482|acme|north|pump|78|paid
1249|fulton|west|panel|87|pending
1287|ember|east|gasket|37|paid
1738|harbor|west|valve|31|held
1220|fulton|east|gasket|81|shipped
1503|juno|west|gasket|53|pending
1815|birch|south|sensor|93|paid
1654|cobalt|south|gasket|50|paid
1458|acme|west|panel|95|held
1109|harbor|east|panel|82|paid
1387|juno|north|panel|23|shipped
1732|juno|north|cable|65|held
1476|juno|south|sensor|25|paid
1361|juno|south|panel|32|shipped
1585|birch|north|gasket|41|shipped
1381|gale|south|gasket|23|pending
1763|cobalt|north|valve|77|shipped
1363|ionic|east|pump|22|paid
1709|ember|south|gasket|64|paid
1339|ionic|west|pump|63|paid
1665|cobalt|west|gasket|67|held
1399|gale|east|gasket|74|pending
1170|fulton|east|pump|54|pending
1067|harbor|south|cable|17|pending
1588|ember|south|rotor|80|pending
1442|ember|north|gasket|37|paid
1096|gale|west|frame|74|held
1060|harbor|south|gasket|79|held
1213|cobalt|north|panel|55|shipped
1281|gale|south|gasket|94|held
1148|fulton|north|gasket|93|pending
1663|acme|east|sensor|26|pending
1761|birch|east|gasket|78|paid
1126|cobalt|north|sensor|88|pending
1670|cobalt|north|gasket|29|shipped
1420|ember|south|rotor|81|pending
1598|ember|east|valve|28|held
1707|dorian|north|valve|91|held
1649|fulton|north|panel|84|pending
1430|acme|west|cable|37|shipped
1332|dorian|east|frame|35|held
1193|birch|east|sensor|86|held
1768|ember|east|sensor|39|pending
1591|gale|south|panel|77|paid
1512|gale|west|valve|15|shipped
1657|gale|north|sensor|89|pending
1189|gale|west|panel|74|paid
1698|fulton|south|valve|41|pending
1071|harbor|north|sensor|36|pending
1150|juno|west|cable|15|pending
1543|harbor|south|rotor|17|pending
1465|acme|north|valve|80|shipped
1569|acme|south|frame|96|shipped
1552|cobalt|west|rotor|67|pending
1392|juno|south|valve|75|shipped
1137|fulton|south|gasket|40|paid
1254|juno|north|rotor|32|paid
1594|cobalt|north|frame|98|paid
1051|harbor|south|frame|62|shipped
1617|gale|south|panel|26|shipped
1359|ionic|south|sensor|40|paid
1747|ionic|west|valve|18|held
1258|ionic|west|gasket|88|shipped
1167|harbor|south|frame|26|paid
1050|harbor|east|frame|28|pending
1448|cobalt|west|cable|98|paid
1376|gale|east|valve|84|held
1053|harbor|south|gasket|34|pending
1487|fulton|north|pump|95|pending
1144|birch|east|cable|46|shipped
1691|ember|east|pump|31|shipped
1306|ionic|west|pump|94|shipped
1671|birch|north|cable|10|shipped
1190|ember|north|valve|23|shipped
1325|harbor|south|panel|18|held
1427|juno|north|cable|22|shipped
1354|gale|north|sensor|94|held
1694|cobalt|west|valve|25|pending
1234|gale|west|gasket|23|held
1116|dorian|south|cable|84|pending
1436|birch|south|cable|58|shipped
1741|ionic|south|cable|35|pending
1528|cobalt|east|gasket|99|paid
1266|acme|north|sensor|46|shipped
1239|acme|north|valve|14|shipped
1138|ionic|west|pump|34|shipped
1075|harbor|south|gasket|15|held
1752|acme|east|frame|52|pending
1546|ionic|east|gasket|25|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 45, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1045}}, {"tool": "cancel_order", "args": {"order_id": 1053}}, {"tool": "cancel_order", "args": {"order_id": 1067}}, {"tool": "restock", "args": {"item": "sensor", "qty": 73}}, {"tool": "cancel_order", "args": {"order_id": 1543}} ]
wrongagentic.tools.ledger-v1conf 100% · 915ms · $0.000 · 156 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: $470
- echo: $498
- lima: $657

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $228 from "lima" to "echo"
2. pay $337 from "echo" to "oscar"
3. pay $124 from "lima" to "oscar"
4. pay $134 from "echo" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 228}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 337}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 124}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 5}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 134}} ]
correctagentic.tools.triage-v1conf · 842ms · $0.000 · 267 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:
- infra → okafor
- data → haddad
- payments → silva

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 8)
2. "records missing after import" (category: data, priority 5)
3. "invoice total wrong" (category: payments, priority 4)
4. "records missing after import" (category: data, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 100% · 1.2s · $0.000 · 110 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: (none)
- gateway: notifier
- billing: auth-svc
- notifier: auth-svc

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.triage-v1conf 100% · 1.3s · $0.000 · 191 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:
- infra → novak
- payments → tanaka
- auth → dubois

INCIDENTS:
1. "API latency spikes" (category: infra, priority 3)
2. "API latency spikes" (category: infra, priority 3)
3. "locked out after 2FA change" (category: auth, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}} ]
correctagentic.tools.ledger-v1conf · 749ms · $0.000 · 158 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: $345
- bravo: $377
- kilo: $303

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $300 from "kilo" to "delta"
2. pay $596 from "bravo" to "kilo"
3. pay $177 from "delta" to "kilo"
4. pay $375 from "kilo" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 300}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 219}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 596}}, {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 177}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 375}} ]
correctagentic.tools.ledger-v1conf 100% · 396ms · $0.000 · 573 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $261
- oscar: $869
- delta: $644

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $261 from "oscar" to "tango"
2. pay $288 from "oscar" to "tango"
3. pay $82 from "delta" to "tango"
4. pay $318 from "delta" to "tango"
5. pay $127 from "tango" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 261}}, {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 288}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 82}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 318}}, {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 127}} ]
wrongagentic.tools.context-load-v1conf · 945ms · $0.001 · 162 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 (124 records, format: id|customer|region|item|qty|status):
```
1565|ionic|west|panel|56|paid
1232|gale|west|frame|23|pending
1177|fulton|north|valve|80|shipped
1553|fulton|east|frame|39|held
1474|fulton|north|rotor|16|held
1492|fulton|south|panel|82|pending
1194|cobalt|east|frame|80|shipped
1572|gale|west|valve|24|pending
1538|fulton|east|frame|32|shipped
1299|juno|west|cable|26|held
1143|gale|east|valve|44|shipped
1310|fulton|east|panel|70|held
1397|juno|east|frame|28|paid
1403|dorian|south|gasket|93|pending
1127|gale|east|rotor|51|pending
1136|gale|east|gasket|69|shipped
1578|cobalt|west|rotor|25|pending
1113|gale|east|panel|27|shipped
1302|cobalt|south|pump|37|pending
1182|dorian|north|valve|56|shipped
1388|juno|east|frame|38|paid
1196|acme|south|valve|62|paid
1485|acme|north|panel|43|paid
1431|harbor|south|rotor|19|pending
1420|fulton|west|sensor|64|paid
1353|fulton|north|valve|18|held
1293|ember|north|cable|86|pending
1245|ionic|north|cable|63|pending
1346|birch|west|cable|26|shipped
1287|juno|west|sensor|19|held
1226|dorian|north|valve|57|paid
1110|gale|north|cable|11|pending
1240|fulton|east|panel|61|pending
1208|cobalt|east|gasket|66|pending
1278|dorian|south|frame|66|shipped
1372|acme|north|pump|79|pending
1577|acme|north|valve|23|shipped
1167|ionic|east|gasket|95|paid
1531|juno|west|cable|13|pending
1520|acme|east|pump|71|held
1200|gale|east|cable|35|pending
1338|birch|east|gasket|25|paid
1329|dorian|west|frame|20|paid
1405|gale|north|gasket|43|held
1415|harbor|south|panel|87|held
1273|ionic|north|frame|60|pending
1496|ionic|east|sensor|58|held
1216|harbor|south|panel|93|pending
1427|ionic|south|sensor|53|shipped
1568|ember|north|pump|13|paid
1243|ember|east|cable|99|held
1546|ember|north|sensor|59|pending
1254|acme|north|cable|80|paid
1142|gale|south|panel|98|pending
1480|ember|south|panel|89|held
1309|ionic|north|rotor|98|pending
1130|gale|south|rotor|28|pending
1185|fulton|north|cable|47|held
1544|ember|west|cable|88|paid
1213|harbor|east|valve|92|paid
1123|gale|west|rotor|64|pending
1333|cobalt|south|gasket|75|shipped
1224|dorian|north|sensor|23|paid
1170|dorian|west|valve|47|shipped
1217|cobalt|south|panel|24|pending
1144|dorian|west|gasket|19|held
1326|birch|west|valve|84|pending
1395|acme|north|sensor|58|held
1378|birch|east|panel|50|shipped
1545|birch|west|rotor|94|held
1452|fulton|west|sensor|20|pending
1163|cobalt|east|panel|14|held
1449|gale|east|sensor|11|paid
1408|acme|west|panel|42|shipped
1331|cobalt|north|panel|17|shipped
1152|fulton|north|cable|87|paid
1441|birch|north|rotor|50|paid
1280|birch|north|panel|73|pending
1239|acme|east|cable|88|held
1145|acme|west|frame|37|shipped
1317|harbor|south|pump|17|shipped
1558|harbor|south|valve|31|paid
1514|cobalt|west|panel|17|shipped
1238|gale|south|rotor|67|pending
1383|acme|north|valve|11|shipped
1325|harbor|south|pump|78|held
1197|acme|north|pump|47|shipped
1459|fulton|north|pump|41|shipped
1156|dorian|west|cable|27|paid
1528|acme|east|panel|14|shipped
1466|ionic|north|sensor|57|pending
1251|gale|east|rotor|25|held
1318|birch|north|sensor|49|paid
1116|gale|east|rotor|34|pending
1103|gale|east|cable|68|pending
1394|fulton|west|pump|12|pending
1579|cobalt|south|gasket|48|paid
1361|dorian|west|rotor|69|held
1382|dorian|south|frame|47|held
1137|gale|east|sensor|67|pending
1124|gale|east|panel|97|paid
1468|gale|south|frame|31|shipped
1446|juno|south|rotor|13|held
1500|gale|south|rotor|86|pending
1580|dorian|west|valve|69|paid
1516|birch|east|sensor|13|shipped
1437|ionic|north|frame|28|pending
1406|cobalt|north|valve|77|held
1354|acme|south|frame|18|paid
1191|dorian|north|cable|78|held
1513|ember|east|sensor|86|pending
1339|harbor|west|cable|70|paid
1266|ember|south|pump|45|paid
1576|fulton|west|gasket|62|paid
1210|cobalt|south|cable|94|held
1517|harbor|west|sensor|54|shipped
1525|birch|north|gasket|30|pending
1207|gale|west|sensor|51|held
1530|birch|west|gasket|34|shipped
1259|gale|west|panel|88|pending
1519|gale|east|frame|86|held
1366|dorian|south|sensor|90|shipped
1507|gale|east|panel|52|held
1535|ember|south|valve|36|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 57, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": -1}}, {"tool": "cancel_order", "args": {"order_id": 1116}}, {"tool": "cancel_order", "args": {"order_id": 1127}}, {"tool": "cancel_order", "args": {"order_id": -1}}, {"tool": "cancel_order", "args": {"order_id": 1200}}, {"tool": "cancel_order", "args": {"order_id": 1251}}, {"tool": "cancel_order", "args": {"order_id": -1}}, {"tool": "cancel_order", "args": {"order_id": 1519}} ]
correctagentic.tools.deploy-v1conf · 820ms · $0.000 · 108 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.triage-v1conf · 957ms · $0.000 · 269 tok
question
You operate a support desk strictly through tool calls.

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

ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.

CATEGORY → AGENT:
- auth → okafor
- infra → chen
- payments → dubois

INCIDENTS:
1. "cannot reset password" (category: auth, priority 2)
2. "cannot reset password" (category: auth, priority 2)
3. "invoice total wrong" (category: payments, priority 8)
4. "locked out after 2FA change" (category: auth, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "okafor"}} ]
wrongagentic.tools.ledger-v1conf 100% · 1.2s · $0.000 · 211 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: $685
- kilo: $454
- tango: $412

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $513 from "delta" to "kilo"
2. pay $262 from "delta" to "kilo"
3. pay $160 from "delta" to "tango"
4. pay $362 from "kilo" to "delta"
5. pay $221 from "delta" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 513}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 286}}, {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 262}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 160}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 362}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 1}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 221}} ]
correctagentic.tools.deploy-v1conf · 914ms · $0.000 · 107 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.triage-v1conf 100% · 1.0s · $0.000 · 186 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 → silva
- infra → 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 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "chen"}} ]
wrongagentic.tools.context-load-v1conf 100% · 118ms · $0.001 · 283 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 (183 records, format: id|customer|region|item|qty|status):
```
1564|fulton|west|gasket|37|held
1505|harbor|east|pump|85|pending
1656|fulton|south|rotor|78|held
1998|dorian|north|valve|13|held
1677|ember|east|pump|21|shipped
1534|acme|east|frame|43|shipped
1531|ionic|west|cable|88|shipped
1530|cobalt|east|rotor|59|held
2127|juno|west|frame|98|pending
1745|gale|south|frame|89|held
1733|gale|south|valve|48|paid
1639|acme|south|sensor|94|held
1644|dorian|south|pump|39|paid
1758|acme|north|sensor|54|paid
1472|cobalt|east|valve|84|pending
2137|acme|west|valve|51|paid
1826|ember|west|sensor|39|pending
1635|juno|south|gasket|38|held
2121|dorian|east|panel|49|pending
1466|dorian|north|pump|60|held
1612|juno|north|sensor|81|shipped
1873|cobalt|north|sensor|49|held
2071|dorian|west|panel|69|shipped
1771|ionic|north|pump|61|shipped
1650|dorian|east|gasket|79|held
1941|gale|south|cable|73|held
1933|ionic|south|panel|56|paid
1752|harbor|west|valve|49|held
1440|dorian|north|valve|22|shipped
1510|birch|south|rotor|10|paid
1884|birch|west|cable|35|paid
1815|gale|south|gasket|17|held
1614|dorian|south|sensor|48|shipped
1721|acme|south|valve|77|paid
1490|gale|north|cable|45|shipped
1556|dorian|south|sensor|48|pending
2060|cobalt|south|cable|87|shipped
1765|fulton|south|pump|97|pending
1935|ionic|south|rotor|79|pending
1478|ionic|south|cable|97|shipped
1979|acme|west|cable|51|shipped
1796|birch|north|cable|46|shipped
2104|cobalt|west|cable|89|shipped
1414|dorian|north|rotor|65|held
1803|juno|east|sensor|96|held
1711|gale|north|rotor|83|paid
1761|juno|east|valve|80|paid
1893|gale|south|frame|77|shipped
1470|ionic|west|rotor|82|shipped
1988|cobalt|north|sensor|86|paid
1509|juno|west|valve|48|paid
1633|cobalt|west|gasket|62|paid
1845|dorian|east|gasket|57|paid
1507|fulton|east|gasket|61|shipped
2027|dorian|west|cable|15|paid
1907|gale|north|rotor|15|paid
1463|dorian|east|gasket|90|pending
1697|juno|south|frame|83|paid
1833|harbor|north|cable|95|held
1593|birch|east|sensor|17|paid
1919|dorian|west|panel|26|held
1958|ionic|north|panel|32|shipped
1859|acme|south|rotor|19|pending
1629|juno|west|frame|20|paid
1930|ionic|east|sensor|69|held
1615|harbor|east|gasket|56|paid
1623|fulton|west|sensor|37|shipped
1822|ionic|north|pump|28|shipped
2005|juno|north|sensor|21|pending
1723|ember|west|sensor|15|shipped
1568|harbor|west|cable|43|held
1420|dorian|west|valve|15|pending
1467|ember|south|panel|64|shipped
1809|dorian|north|panel|91|held
2140|fulton|west|sensor|65|paid
1781|acme|east|valve|75|pending
2053|dorian|east|valve|46|paid
1449|dorian|west|valve|56|pending
1516|dorian|south|gasket|22|paid
2012|birch|north|valve|12|paid
1538|ionic|west|gasket|30|held
1957|dorian|west|valve|27|pending
1571|fulton|north|cable|31|pending
2133|acme|west|frame|83|paid
1902|ember|south|cable|48|held
1549|ember|south|gasket|95|shipped
1500|ionic|south|gasket|13|paid
1984|harbor|west|rotor|70|paid
1689|dorian|north|panel|48|shipped
1755|ionic|east|frame|65|pending
2047|cobalt|north|pump|69|shipped
1972|acme|south|cable|47|paid
1584|ionic|east|pump|24|pending
2032|fulton|east|cable|95|pending
2018|ember|south|rotor|77|shipped
1570|ionic|east|valve|40|pending
1832|dorian|north|pump|99|held
1992|gale|north|gasket|93|paid
1897|acme|east|rotor|63|held
2154|harbor|east|panel|23|held
1459|dorian|north|cable|79|pending
1425|dorian|north|cable|56|paid
2065|harbor|west|sensor|22|shipped
1540|juno|west|pump|46|paid
1492|fulton|west|panel|30|held
1667|harbor|south|cable|34|held
1495|ionic|west|frame|76|shipped
2078|birch|west|frame|24|paid
1817|gale|south|sensor|71|pending
1578|juno|east|pump|70|shipped
1408|dorian|east|pump|77|pending
1430|dorian|north|panel|17|pending
1683|ionic|west|pump|82|pending
1598|acme|east|gasket|89|held
1786|harbor|south|cable|99|shipped
1925|cobalt|east|cable|56|pending
2086|acme|west|cable|77|pending
1595|ionic|west|frame|86|pending
1620|cobalt|east|panel|41|paid
1435|dorian|west|frame|22|pending
1453|dorian|north|sensor|66|paid
1838|fulton|south|frame|75|shipped
1660|cobalt|south|gasket|92|pending
2145|harbor|south|cable|59|pending
1807|acme|north|valve|39|held
1754|fulton|north|cable|60|shipped
1793|dorian|west|rotor|71|shipped
1950|cobalt|north|valve|10|paid
1523|birch|south|frame|18|shipped
1932|cobalt|north|sensor|11|paid
1945|dorian|south|frame|46|paid
1618|dorian|east|cable|17|shipped
1589|birch|west|sensor|73|held
2038|birch|west|cable|86|held
2099|cobalt|west|rotor|62|pending
1483|cobalt|east|frame|43|paid
1978|birch|south|gasket|29|shipped
1923|harbor|west|sensor|85|shipped
1519|birch|east|cable|37|paid
1406|dorian|north|cable|47|pending
1739|birch|south|pump|58|paid
1641|ember|south|rotor|63|held
1722|dorian|south|pump|30|held
1607|ionic|east|gasket|72|held
2077|gale|west|sensor|48|shipped
1835|acme|east|cable|27|held
1879|harbor|west|pump|26|pending
2109|harbor|west|pump|65|paid
1774|fulton|west|frame|34|pending
1687|juno|north|frame|55|paid
1673|harbor|south|cable|77|shipped
2117|acme|north|rotor|55|shipped
2041|cobalt|north|rotor|34|paid
1852|gale|east|valve|20|shipped
1964|ionic|north|valve|53|pending
2149|cobalt|west|cable|78|shipped
2143|cobalt|south|frame|88|pending
1446|dorian|north|valve|49|pending
1651|harbor|west|cable|74|shipped
1583|ionic|west|frame|84|held
2128|fulton|west|panel|62|held
1694|cobalt|north|frame|85|pending
2144|cobalt|east|pump|59|paid
2098|acme|south|cable|16|paid
1887|juno|north|gasket|68|paid
2092|juno|south|rotor|69|paid
1968|acme|south|gasket|58|paid
1419|dorian|north|rotor|18|pending
1828|birch|west|pump|34|shipped
1912|dorian|west|gasket|52|paid
1668|gale|west|pump|44|pending
1865|birch|east|sensor|68|held
1600|fulton|north|panel|13|held
2116|ember|east|cable|67|shipped
1868|acme|east|frame|35|held
2081|ember|north|cable|84|pending
1704|gale|east|sensor|79|paid
2023|fulton|west|panel|35|held
2073|fulton|east|panel|88|shipped
1546|gale|west|sensor|90|shipped
1717|ember|north|gasket|68|paid
1730|fulton|north|gasket|90|shipped
1560|ionic|north|cable|35|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "cable", "qty": 47}}, {"tool": "restock", "args": {"item": "cable", "qty": 56}}, {"tool": "restock", "args": {"item": "cable", "qty": 79}}, {"tool": "restock", "args": {"item": "panel", "qty": 91}}, {"tool": "restock", "args": {"item": "pump", "qty": 99}}, {"tool": "restock", "args": {"item": "rotor", "qty": 65}}, {"tool": "restock", "args": {"item": "rotor", "qty": 18}}, {"tool": "cancel_order", "args": {"order_id": 1430}}, {"tool": "cancel_order", "args": {"order_id": 1446}}, {"tool": "cancel_order", "args": {"order_id": 1459}}, {"tool": "cancel_order", "args": {"order_id": 1466}}, {"tool": "cancel_order", "args": {"order_id": 1998}} ]
wrongagentic.tools.deploy-v1conf 100% · 1.0s · $0.000 · 110 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: gateway
- auth-svc: gateway
- billing: auth-svc, gateway
- gateway: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}} ]
wrongagentic.tools.ledger-v1conf · 1.1s · $0.000 · 208 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: $843
- echo: $385
- alpha: $842

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $182 from "oscar" to "echo"
2. pay $152 from "echo" to "oscar"
3. pay $164 from "echo" to "alpha"
4. pay $245 from "echo" to "oscar"
5. pay $201 from "alpha" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 182}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 152}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": -1}}, {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 164}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 25}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 245}}, {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 201}} ]
correctagentic.tools.triage-v1conf · 810ms · $0.000 · 243 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 → chen
- data → dubois
- auth → novak

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 7)
2. "records missing after import" (category: data, priority 6)
3. "invoice total wrong" (category: payments, priority 7)
4. "refund double-charged" (category: payments, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}} ]
wrongagentic.tools.context-load-v1conf 100% · 1.2s · $0.001 · 176 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 (219 records, format: id|customer|region|item|qty|status):
```
1142|acme|west|gasket|57|held
1569|acme|west|valve|47|held
1034|birch|south|cable|24|pending
1730|acme|north|gasket|41|pending
1610|dorian|east|cable|22|held
1254|birch|west|cable|16|shipped
1524|ember|south|panel|19|pending
1196|ember|south|pump|74|pending
1629|ionic|north|panel|53|pending
1567|birch|north|sensor|10|shipped
1165|birch|south|gasket|36|pending
1587|harbor|east|pump|42|pending
1042|birch|east|panel|84|pending
1689|cobalt|west|frame|69|shipped
1799|cobalt|north|gasket|27|shipped
1145|fulton|west|rotor|12|shipped
1338|cobalt|east|frame|46|held
1228|gale|south|panel|22|paid
1207|harbor|east|panel|14|held
1071|juno|south|pump|77|held
1052|birch|west|valve|96|pending
1780|acme|east|panel|90|shipped
1824|fulton|east|cable|53|held
1330|fulton|west|panel|41|shipped
1409|ember|west|panel|15|held
1264|cobalt|east|panel|20|pending
1036|birch|east|gasket|46|held
1807|ionic|north|cable|27|shipped
1011|birch|west|frame|98|pending
1840|cobalt|east|gasket|44|paid
1538|ember|north|panel|37|pending
1416|fulton|west|frame|73|pending
1022|birch|east|pump|87|paid
1452|gale|west|cable|84|paid
1238|ionic|west|sensor|55|paid
1295|juno|west|sensor|20|held
1401|harbor|east|valve|91|pending
1284|fulton|east|panel|11|paid
1531|ionic|west|valve|50|shipped
1761|cobalt|east|rotor|15|held
1801|juno|east|frame|33|paid
1705|birch|west|rotor|13|shipped
1618|ember|east|pump|84|held
1213|juno|west|pump|31|held
1248|ionic|south|pump|89|held
1493|cobalt|north|frame|32|pending
1123|gale|south|frame|16|paid
1510|fulton|west|cable|23|paid
1848|ionic|east|cable|95|held
1520|harbor|east|sensor|88|paid
1447|harbor|north|panel|22|shipped
1519|harbor|south|gasket|35|shipped
1674|ionic|south|panel|58|held
1741|fulton|north|pump|75|shipped
1166|birch|west|frame|25|pending
1397|harbor|north|sensor|11|held
1318|acme|north|valve|71|paid
1396|birch|south|sensor|83|pending
1453|acme|east|frame|20|paid
1313|harbor|south|pump|33|paid
1751|cobalt|west|valve|94|held
1336|ember|west|valve|98|pending
1175|ember|east|gasket|79|held
1696|dorian|north|frame|38|held
1134|ionic|south|valve|50|pending
1562|harbor|west|valve|31|paid
1205|birch|south|rotor|92|pending
1310|acme|north|frame|31|shipped
1702|fulton|south|sensor|21|pending
1844|juno|south|valve|83|paid
1527|ember|north|panel|90|shipped
1198|gale|west|valve|50|pending
1015|birch|east|valve|35|held
1195|juno|east|gasket|41|paid
1857|birch|east|gasket|24|held
1160|gale|north|sensor|45|pending
1361|juno|south|valve|17|paid
1182|birch|north|pump|99|shipped
1117|ember|west|valve|64|pending
1522|ember|west|pump|78|pending
1130|cobalt|north|rotor|65|pending
1245|gale|west|gasket|94|held
1594|fulton|west|valve|16|shipped
1421|dorian|north|cable|96|held
1223|birch|north|rotor|17|shipped
1297|ionic|west|panel|77|paid
1006|birch|east|sensor|68|pending
1477|cobalt|east|pump|99|held
1018|birch|east|valve|71|pending
1240|dorian|south|frame|23|paid
1376|ember|east|rotor|91|pending
1059|birch|east|valve|96|held
1536|ember|south|valve|61|pending
1497|fulton|south|cable|99|shipped
1281|dorian|east|valve|21|pending
1784|acme|east|sensor|89|shipped
1850|ionic|north|pump|53|pending
1093|gale|north|sensor|12|held
1555|birch|north|valve|88|held
1526|acme|north|pump|10|held
1484|ember|north|sensor|33|pending
1503|gale|north|frame|76|held
1647|juno|south|pump|22|pending
1725|birch|south|cable|98|paid
1541|ember|south|panel|80|paid
1164|dorian|east|gasket|48|held
1337|gale|south|frame|44|shipped
1146|cobalt|north|sensor|71|held
1603|ionic|east|frame|78|shipped
1711|cobalt|west|pump|98|shipped
1855|birch|west|rotor|94|held
1665|ionic|west|frame|42|pending
1309|ember|west|valve|92|held
1790|acme|north|sensor|93|held
1372|acme|west|valve|29|paid
1472|ember|west|sensor|97|pending
1596|ionic|west|pump|44|pending
1100|gale|west|frame|85|held
1663|harbor|north|pump|12|paid
1581|cobalt|north|gasket|52|pending
1721|acme|south|pump|33|pending
1219|harbor|west|panel|98|shipped
1577|ionic|south|panel|40|pending
1323|dorian|south|panel|57|shipped
1635|birch|north|valve|40|paid
1434|birch|west|valve|84|held
1368|harbor|south|gasket|87|paid
1259|dorian|east|rotor|84|held
1491|juno|west|frame|58|pending
1879|harbor|east|frame|22|paid
1471|cobalt|south|cable|22|held
1235|acme|west|frame|41|shipped
1875|acme|south|sensor|54|shipped
1072|acme|north|rotor|13|paid
1727|cobalt|east|frame|18|shipped
1682|dorian|north|gasket|83|shipped
1113|harbor|east|frame|63|held
1735|acme|east|sensor|92|shipped
1716|gale|east|cable|77|paid
1046|birch|east|pump|90|held
1317|gale|east|pump|38|pending
1335|juno|south|gasket|31|paid
1677|dorian|west|valve|45|paid
1528|gale|east|panel|71|pending
1692|gale|east|sensor|80|held
1339|fulton|north|valve|59|paid
1782|cobalt|north|cable|80|pending
1141|birch|north|panel|28|held
1658|harbor|east|valve|79|held
1789|dorian|north|cable|37|paid
1588|acme|west|panel|77|held
1529|acme|north|pump|37|held
1081|ionic|south|sensor|92|shipped
1020|birch|south|gasket|45|pending
1341|cobalt|east|gasket|31|shipped
1834|ember|north|panel|64|held
1748|ionic|west|cable|99|shipped
1390|fulton|west|rotor|86|held
1290|ionic|west|rotor|10|paid
1283|cobalt|north|gasket|41|held
1773|ionic|west|frame|28|held
1640|juno|west|cable|25|paid
1045|birch|south|sensor|15|pending
1513|dorian|south|sensor|30|shipped
1215|ember|east|pump|70|paid
1673|dorian|west|valve|63|held
1817|ionic|west|cable|87|paid
1440|gale|north|frame|62|shipped
1864|dorian|south|sensor|26|held
1277|ionic|west|sensor|26|paid
1354|gale|east|gasket|95|shipped
1188|harbor|north|rotor|26|held
1576|juno|south|pump|67|paid
1348|dorian|west|valve|84|shipped
1767|harbor|south|rotor|83|held
1271|acme|west|panel|99|shipped
1302|ionic|west|pump|73|held
1107|acme|south|frame|38|pending
1088|ember|north|frame|53|pending
1485|cobalt|east|gasket|72|pending
1110|ionic|east|valve|43|shipped
1811|fulton|west|valve|66|pending
1111|dorian|north|sensor|34|shipped
1885|cobalt|south|valve|88|paid
1381|ionic|west|pump|98|pending
1173|dorian|north|panel|38|pending
1062|dorian|north|rotor|71|pending
1069|birch|east|panel|80|held
1216|dorian|south|sensor|86|shipped
1756|gale|east|sensor|67|pending
1190|fulton|west|panel|69|pending
1153|juno|west|sensor|87|paid
1406|harbor|east|cable|90|pending
1654|dorian|south|gasket|18|held
1028|birch|east|valve|51|pending
1868|gale|east|pump|95|held
1871|cobalt|south|gasket|72|shipped
1792|gale|south|sensor|38|held
1500|juno|west|frame|49|pending
1171|harbor|east|gasket|95|pending
1614|gale|south|panel|44|pending
1670|acme|east|panel|37|paid
1626|juno|east|rotor|39|pending
1428|acme|east|frame|71|held
1457|harbor|west|frame|79|pending
1550|dorian|east|rotor|18|paid
1543|ionic|west|panel|13|held
1387|harbor|south|sensor|73|shipped
1620|cobalt|north|pump|86|pending
1257|juno|south|frame|25|paid
1464|ember|east|valve|30|paid
1585|fulton|east|panel|51|held
1851|cobalt|south|rotor|69|held
1078|fulton|north|frame|43|paid
1085|dorian|west|frame|55|shipped
1184|fulton|north|cable|42|held
1439|acme|north|frame|55|held
1051|birch|east|valve|99|pending
1828|ionic|north|gasket|99|held
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "panel", "qty": 84}}, {"tool": "restock", "args": {"item": "pump", "qty": 90}}, {"tool": "cancel_order", "args": {"order_id": 1006}}, {"tool": "restock", "args": {"item": "valve", "qty": 71}}, {"tool": "restock", "args": {"item": "valve", "qty": 96}}, {"tool": "cancel_order", "args": {"order_id": 1028}}, {"tool": "restock", "args": {"item": "valve", "qty": 99}} ]
correctagentic.tools.deploy-v1conf 100% · 1.6s · $0.000 · 108 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.triage-v1conf 95% · 1.6s · $0.000 · 247 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → rivera
- payments → silva
- infra → tanaka

INCIDENTS:
1. "records missing after import" (category: data, priority 7)
2. "refund double-charged" (category: payments, priority 8)
3. "webhooks not delivered" (category: infra, priority 2)
4. "records missing after import" (category: data, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 8}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.ledger-v1conf · 895ms · $0.000 · 211 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: $456
- tango: $477
- oscar: $864

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $414 from "echo" to "tango"
2. pay $424 from "oscar" to "tango"
3. pay $274 from "echo" to "oscar"
4. pay $391 from "echo" to "tango"
5. pay $114 from "oscar" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 414}}, {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 424}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 232}}, {"tool": "transfer", "args": {"from": "echo", "to": "oscar", "amount": 274}}, {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": -19}}, {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 391}}, {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 114}} ]
wrongagentic.tools.context-load-v1anchorconf 95% · 827ms · $0.001 · 175 tok
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1357}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": III}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1682}}, {"tool": "cancel_order", "args": {"order_id": 1745}}, {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1854}} ]
correctagentic.tools.triage-v1anchorconf 100% · 1.2s · $0.000 · 269 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.ledger-v1anchorconf 100% · 1.2s · $0.000 · 213 tok
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 101}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 371}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
correctagentic.tools.deploy-v1anchorconf · 807ms · $0.000 · 109 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
code 25/30 correct
correctcode.trace.js-v1conf 100% · 1.4s · $0.000 · 185 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 252
correctcode.trace.nested-v1conf 100% · 1.3s · $0.000 · 721 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 42
correctcode.trace.nested-v1conf · 180ms · $0.001 · 1169 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 565
correctcode.trace.python-v1conf 100% · 487ms · $0.000 · 292 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 7
while total + v <= 56:
    if v % 5 != 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: 37
correctcode.trace.js-v1conf 100% · 1.2s · $0.000 · 89 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 63
correctcode.trace.python-v1conf 100% · 290ms · $0.000 · 281 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 4
while total + v <= 67:
    if v % 3 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 48
correctcode.trace.nested-v1conf 100% · 1.9s · $0.001 · 1267 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 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: 501
correctcode.trace.js-v1conf 100% · 1.1s · $0.000 · 138 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [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.nested-v1conf 100% · 1.7s · $0.000 · 797 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 239
correctcode.trace.python-v1conf 100% · 366ms · $0.000 · 258 tok
question
What does this Python program print?

```python
total = 0
v = 9
while total + v <= 37:
    if v % 7 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 27
wrongcode.trace.js-v1conf · 865ms · $0.000 · 13 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 588
correctcode.trace.nested-v1conf 100% · 889ms · $0.000 · 909 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) % 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: 320
correctcode.trace.python-v1conf 100% · 466ms · $0.000 · 458 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 9
while total + v <= 119:
    if v % 6 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 105
wrongcode.trace.js-v1conf 100% · 1.8s · $0.000 · 13 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 120
correctcode.trace.python-v1conf 100% · 910ms · $0.000 · 410 tok
question
What does this Python program print?

```python
total = 0
v = 6
while total + v <= 66:
    if v % 5 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 60
correctcode.trace.nested-v1conf 100% · 841ms · $0.000 · 972 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 260
wrongcode.trace.js-v1conf 100% · 649ms · $0.000 · 12 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9];
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: 108
correctcode.trace.nested-v1conf 100% · 1.1s · $0.000 · 730 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 111
correctcode.trace.python-v1conf · 938ms · $0.000 · 439 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 2
while total + v <= 82:
    if v % 3 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 78
wrongcode.trace.js-v1conf 100% · 867ms · $0.000 · 12 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 30
correctcode.trace.nested-v1conf 95% · 270ms · $0.000 · 940 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 339
correctcode.trace.python-v1conf 100% · 266ms · $0.000 · 244 tok
question
What does this Python program print?

```python
total = 0
v = 14
while total + v <= 80:
    if v % 5 != 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: 80
correctcode.trace.js-v1conf · 2.4s · $0.000 · 13 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84
correctcode.trace.python-v1conf 100% · 859ms · $0.000 · 334 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 12
while total + v <= 113:
    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: 112
wrongcode.trace.js-v1conf 100% · 214ms · $0.000 · 13 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 72
correctcode.trace.python-v1anchorconf 100% · 1.4s · $0.000 · 780 tok
model answer: 0
correctcode.trace.nested-v1conf 100% · 924ms · $0.000 · 821 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 117
correctcode.trace.nested-v1anchorconf 100% · 543ms · $0.000 · 833 tok
model answer: 283
correctcode.trace.js-v1anchorconf 100% · 225ms · $0.000 · 114 tok
model answer: 63
correctcode.trace.python-v1anchorconf 100% · 979ms · $0.000 · 313 tok
model answer: 40
instruction following 20/30 correct
correctif.format.acronym-v1conf · 734ms · $0.000 · 208 tok
question
Take the third letter of each of these words, in order: echo, delta, cedar, quartz, comet, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: HLDAMI
wrongif.constraints.stack-v1conf 100% · 786ms · $0.000 · 35 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "nova" and the last word must be "tundra".
3. Use the word "drift" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova drift sea vast and cold drift endless blue frozen tundra
wrongif.constraints.stack-v1conf · 9.7s · $0.000 · 58 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "comet" and the last word must be "ember".
3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet sea, a vast tundra, a cold tundra, a silent tundra, holds a fading ember
correctif.format.repeat-v1conf 100% · 1.5s · $0.000 · 52 tok
question
Write the word "delta" 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: DELTA_DELTA_DELTA_DELTA_DELTA_DELTA_DELTA
wrongif.constraints.stack-v1conf 100% · 1.0s · $0.000 · 53 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "flint" and the last word must be "cedar".
3. Use the word "drift" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: flint sharp cold makes thoughts drift, snowdrift deep, i drift towards the faint scent of cedar
correctif.format.acronym-v1conf 100% · 1.1s · $0.000 · 71 tok
question
Take the third letter of each of these words, in order: tundra, nova, zephyr, orbit, basalt, 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: NVPBSA
correctif.format.repeat-v1conf 100% · 221ms · $0.000 · 36 tok
question
Write the word "tundra" in capitalized 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: TUNDRA_TUNDRA_TUNDRA_TUNDRA
correctif.format.acronym-v1conf 100% · 118ms · $0.000 · 18 tok
question
Take the first letter of each of these words, in order: echo, orbit, flint, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EOFE
correctif.format.repeat-v1conf 100% · 874ms · $0.000 · 52 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
wrongif.constraints.stack-v1conf 100% · 862ms · $0.000 · 42 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 "falcon" and the last word must be "lumen".
3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon ember glows, its fading ember a final fragile lumen
correctif.format.acronym-v1conf 100% · 505ms · $0.000 · 52 tok
question
Take the second letter of each of these words, in order: falcon, prism, echo, lumen, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ARCUR
correctif.format.repeat-v1conf 100% · 1.2s · $0.000 · 28 tok
question
Write the word "delta" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DELTA/DELTA/DELTA
wrongif.constraints.stack-v1conf · 1.1s · $0.000 · 43 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "echo" and the last word must be "falcon".
3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: echo basalt cliffs meet basalt waves under basalt sky, a falcon
correctif.format.acronym-v1conf 100% · 1.3s · $0.000 · 20 tok
question
Take the first letter of each of these words, in order: drift, ember, tundra, zephyr, flint, 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: DETZFL
wrongif.constraints.stack-v1conf 100% · 3.0s · $0.000 · 66 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "delta" and the last word must be "comet".
3. Use the word "zephyr" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: delta begins with a gentle zephyr, a persistent zephyr crossing continents, then a final zephyr guiding the swift comet.
correctif.format.repeat-v1conf 100% · 556ms · $0.000 · 57 tok
question
Write the word "flint" 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: FLINT/FLINT/FLINT/FLINT/FLINT/FLINT/FLINT/FLINT
correctif.format.acronym-v1conf 100% · 573ms · $0.000 · 54 tok
question
Take the second letter of each of these words, in order: comet, cedar, lumen, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OEUO
wrongif.constraints.stack-v1conf 100% · 1.2s · $0.000 · 51 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "prism" and the last word must be "zephyr".
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: prism lights on the wet delta, a silent delta of shadows, until a cool zephyr
correctif.format.repeat-v1conf 100% · 869ms · $0.000 · 27 tok
question
Write the word "orbit" in uppercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ORBIT-ORBIT-ORBIT
correctif.format.repeat-v1conf 100% · 3.0s · $0.000 · 43 tok
question
Write the word "lumen" in lowercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: lumen-lumen-lumen-lumen-lumen-lumen-lumen-lumen
correctif.format.acronym-v1conf 100% · 1.3s · $0.000 · 20 tok
question
Take the first letter of each of these words, in order: basalt, quartz, falcon, flint, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BQFFP
correctif.format.acronym-v1conf 100% · 1.4s · $0.000 · 59 tok
question
Take the second letter of each of these words, in order: lumen, prism, basalt, drift, comet, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: URAROE
wrongif.constraints.stack-v1conf · 959ms · $0.000 · 39 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 "flint" and the last word must be "drift".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: flint grinds quartz, turning quartz, as forgotten gears slowly drift
correctif.format.repeat-v1conf 100% · 1.1s · $0.000 · 39 tok
question
Write the word "drift" in lowercase form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: drift-drift-drift-drift-drift-drift-drift
correctif.format.acronym-v1conf 100% · 755ms · $0.000 · 84 tok
question
Take the third letter of each of these words, in order: flint, comet, tundra, basalt, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: IMNSI
wrongif.constraints.stack-v1conf 95% · 641ms · $0.000 · 47 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "quartz" and the last word must be "delta".
3. Use the word "lumen" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz traveled far, each lumen a guide, each lumen spent, reaching the final delta
wrongif.constraints.stack-v1anchorconf 100% · 1.4s · $0.000 · 57 tok
model answer: drift through the city's low lumen glow, each lumen a star, each lumen a guide in this concrete orbit
correctif.format.repeat-v1anchorconf 100% · 844ms · $0.000 · 57 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 1.2s · $0.000 · 60 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 1.5s · $0.000 · 18 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 15 tok
question
What is 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% · 740ms · $0.000 · 15 tok
question
Name the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 11 tok
question
Name the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 15 tok
question
Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 725ms · $0.000 · 11 tok
question
Identify the capital of Switzerland.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 14 tok
question
What is the chemical element with symbol Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.000 · 16 tok
question
What is the element whose symbol is Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 1.0s · $0.000 · 14 tok
question
Name the capital of Canada.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 801ms · $0.000 · 14 tok
question
Identify 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% · 787ms · $0.000 · 11 tok
question
Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 5.0s · $0.000 · 14 tok
question
Name the capital of Nigeria.

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 95% · 2.2s · $0.000 · 24 tok
question
Identify 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
correctknowledge.fr.factbank-v2conf 100% · 821ms · $0.000 · 14 tok
question
What is the capital of Canada?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 16 tok
question
Identify the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.000 · 16 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: Astana
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 15 tok
question
Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 515ms · $0.000 · 11 tok
question
Name the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 12 tok
question
What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 853ms · $0.000 · 11 tok
question
Name the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 12 tok
question
Name the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 21 tok
question
What is the Burmese capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.000 · 15 tok
question
Identify the capital of Nigeria.

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 · 644ms · $0.000 · 12 tok
question
Name the capital of Kazakhstan.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf · 803ms · $0.000 · 11 tok
question
Name 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% · 531ms · $0.000 · 12 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% · 940ms · $0.000 · 14 tok
question
Identify the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2anchorconf 100% · 2.0s · $0.000 · 13 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 947ms · $0.000 · 12 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 1.2s · $0.000 · 11 tok
model answer: Lead
correctknowledge.fr.factbank-v2anchorconf 100% · 789ms · $0.000 · 12 tok
model answer: Antimony
math 29/30 correct
correctmath.chained.pipeline-v1conf 100% · 1.5s · $0.000 · 127 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 51 × 18.
Step 2: Q = P × 6 − 906.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 767
correctmath.percent.chain-v2conf 95% · 969ms · $0.000 · 242 tok
question
An inventory starts at 99000 units. A rival firm shipped 98 unrelated parcels the same week. In the first month the inventory grows by 31%. The delivery van has a 8-liter fuel tank. The next month it shrinks by 33%, 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: 100795.068
correctmath.counterfactual.base-v1conf · 559ms · $0.000 · 240 tok
question
Work strictly in base 8. Add the base-8 numbers 5423 and 5425. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 13050
correctmath.counterfactual.base-v1conf 100% · 1.6s · $0.000 · 1136 tok
question
Work strictly in base 7. Add the base-7 numbers 10140 and 5055. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 15225
correctmath.algebra.system-v2conf 100% · 847ms · $0.000 · 238 tok
question
Solve the system, then answer the derived question.

9x + 7y = -260
3x − 4y = -112

What is the value of 4x − 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: -148
correctmath.arith.chain-v2conf 100% · 812ms · $0.000 · 170 tok
question
Calculate the following. Show your reasoning, then answer.

(((51 × 24 − 522) × 3 + 6582) − 81 × 91) × 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.counterfactual.base-v1conf 100% · 1.6s · $0.000 · 384 tok
question
Work strictly in base 13. Add the base-13 numbers 49B and 1076. 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: 1544
correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.000 · 146 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 70 × 78.
Step 2: Q = P × 5 − 649.
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: 6665
correctmath.percent.chain-v2conf 100% · 1.2s · $0.000 · 268 tok
question
An inventory starts at 80000 units. The company was founded 72 kilometers from the port. In the first month the inventory grows by 27%. The company was founded 132 kilometers from the port. The next month it shrinks by 9%, and the month after it grows by 40%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 129438.4
correctmath.algebra.system-v2conf 100% · 816ms · $0.000 · 205 tok
question
Solve the system, then answer the derived question.

4x + 9y = 193
4x − 8y = -368

What is the value of 5x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -229
correctmath.arith.chain-v2conf 100% · 1.5s · $0.000 · 128 tok
question
Work out the exact value of this expression.

(((81 × 72 − 891) × 4 + 7068) − 23 × 23) × 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: 157818
correctmath.chained.pipeline-v1conf 100% · 570ms · $0.000 · 119 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 38 × 77.
Step 2: Q = P × 8 − 765.
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: 7549
correctmath.algebra.system-v2conf 100% · 1.2s · $0.000 · 226 tok
question
Solve the system, then answer the derived question.

8x + 7y = 193
7x − 5y = 91

What is the value of 6x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 73
correctmath.percent.chain-v2conf · 1.0s · $0.000 · 134 tok
question
An inventory starts at 47000 units. A rival firm shipped 67 unrelated parcels the same week. In the first month the inventory grows by 22%. The delivery van has a 27-liter fuel tank. The next month it shrinks by 7%, and the month after it grows by 45%. 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: 77322.99
correctmath.arith.chain-v2conf 100% · 818ms · $0.000 · 167 tok
question
Work out the exact value of this expression.

(((53 × 87 − 815) × 3 + 2179) − 25 × 62) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 48068
correctmath.chained.pipeline-v1conf 100% · 1.1s · $0.000 · 116 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 20 × 40.
Step 2: Q = P × 4 − 672.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 423
correctmath.counterfactual.base-v1conf · 791ms · $0.000 · 280 tok
question
Work strictly in base 13. Add the base-13 numbers 536 and CB8. 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: 1521
correctmath.percent.chain-v2conf · 639ms · $0.000 · 305 tok
question
An inventory starts at 65000 units. A rival firm shipped 103 unrelated parcels the same week. In the first month the inventory grows by 39%. The delivery van has a 29-liter fuel tank. The next month it shrinks by 32%, and the month after it grows by 34%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 82326.92
correctmath.algebra.system-v2conf 100% · 811ms · $0.000 · 215 tok
question
Solve the system, then answer the derived question.

9x + 9y = -351
5x − 8y = 299

What is the value of 3x − 6y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 225
correctmath.chained.pipeline-v1conf 100% · 10.0s · $0.000 · 118 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 37 × 30.
Step 2: Q = P × 3 − 566.
Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 464
correctmath.arith.chain-v2conf 100% · 1.1s · $0.000 · 367 tok
question
Work out the exact value of this expression.

(((76 × 92 − 664) × 6 + 2090) − 72 × 92) × 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: 200604
correctmath.counterfactual.base-v1conf · 811ms · $0.000 · 294 tok
question
Work strictly in base 8. Multiply the base-8 numbers 42 and 125. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 5512
correctmath.percent.chain-v2conf · 1.1s · $0.000 · 235 tok
question
An inventory starts at 75000 units. The delivery van has a 71-liter fuel tank. In the first month the inventory grows by 7%. The company was founded 12 kilometers from the port. The next month it shrinks by 30%, and the month after it grows by 34%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 75,274.50
correctmath.counterfactual.base-v1anchorconf 100% · 5.7s · $0.000 · 713 tok
model answer: 11236
correctmath.algebra.system-v2conf 100% · 895ms · $0.000 · 180 tok
question
Solve the system, then answer the derived question.

9x + 4y = -265
2x − 4y = -10

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: -10
correctmath.arith.chain-v2conf 100% · 749ms · $0.000 · 124 tok
question
Compute the value of the following expression.

(((39 × 24 − 897) × 4 + 4989) − 70 × 94) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -5740
correctmath.chained.pipeline-v1conf 100% · 1.1s · $0.000 · 124 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 71 × 21.
Step 2: Q = P × 8 − 866.
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: 1388
wrongmath.percent.chain-v2anchorconf · 824ms · $0.000 · 153 tok
model answer: 61884.52
correctmath.algebra.system-v2anchorconf 100% · 2.7s · $0.000 · 191 tok
model answer: 87
correctmath.arith.chain-v2anchorconf 100% · 1.5s · $0.000 · 128 tok
model answer: 108153
multilingual 24/30 correct
correctmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 134 tok
question
A number is written in French: « huit cent soixante-huit ». Another is written in Spanish: « doscientos setenta 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: 1147
correctmultilingual.wordnum-v1conf 100% · 832ms · $0.000 · 114 tok
question
A number is written in French: « quatre cent trente ». Another is written in Spanish: « trescientos 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: 823
correctmultilingual.numword-v2conf 100% · 1.3s · $0.000 · 26 tok
question
Compute 467 + 458, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: neuf cent vingt-cinq
correctmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 26 tok
question
Compute 469 + 356, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: huit cent vingt-cinq
correctmultilingual.wordnum-v1conf 100% · 167ms · $0.000 · 169 tok
question
A number is written in French: « neuf cent quatre-vingt-dix-neuf ». Another is written in Spanish: « sesenta y uno ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 938
correctmultilingual.wordnum-v1conf 100% · 622ms · $0.000 · 111 tok
question
A number is written in French: « sept cent quarante-huit ». Another is written in Spanish: « setecientos noventa 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: 1545
correctmultilingual.numword-v2conf 100% · 1.5s · $0.000 · 23 tok
question
Compute 82 + 436, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent dix-huit
correctmultilingual.numword-v2conf 100% · 760ms · $0.000 · 24 tok
question
Compute 110 + 48, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ciento cincuenta y ocho
correctmultilingual.wordnum-v1conf 100% · 1.5s · $0.000 · 131 tok
question
A number is written in French: « neuf cent soixante-quinze ». Another is written in Spanish: « ciento sesenta 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: 807
correctmultilingual.wordnum-v1conf · 764ms · $0.000 · 67 tok
question
A number is written in French: « deux cent quarante-cinq ». Another is written in Spanish: « ochocientos sesenta y uno ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -616
wrongmultilingual.numword-v2conf 100% · 103ms · $0.000 · 25 tok
question
Compute 441 + 280, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent vingt-et-un
correctmultilingual.wordnum-v1conf 100% · 1.5s · $0.000 · 95 tok
question
A number is written in French: « cent douze ». Another is written in Spanish: « ciento treinta ». 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: 242
wrongmultilingual.numword-v2conf 100% · 933ms · $0.000 · 19 tok
question
Compute 494 + 154, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: six hundred forty-eight
correctmultilingual.wordnum-v1conf 100% · 1.4s · $0.000 · 85 tok
question
A number is written in French: « quatre-vingt-deux ». Another is written in Spanish: « novecientos setenta 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: -897
correctmultilingual.numword-v2conf 100% · 1.0s · $0.000 · 21 tok
question
Compute 350 + 222, 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 setenta y dos
wrongmultilingual.numword-v2conf · 831ms · $0.000 · 26 tok
question
Compute 387 + 96, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos ochenta y tres
correctmultilingual.wordnum-v1conf 100% · 916ms · $0.000 · 22 tok
question
A number is written in French: « cent soixante-sept ». Another is written in Spanish: « ochocientos cuarenta y siete ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1014
correctmultilingual.wordnum-v1conf 100% · 1.5s · $0.000 · 104 tok
question
A number is written in French: « quatre cent cinquante-quatre ». Another is written in Spanish: « setecientos cincuenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1210
correctmultilingual.wordnum-v1conf 100% · 3.8s · $0.000 · 125 tok
question
A number is written in French: « deux cent cinquante-trois ». Another is written in Spanish: « novecientos veinticuatro ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1177
wrongmultilingual.numword-v2conf · 654ms · $0.000 · 24 tok
question
Compute 440 + 427, 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 sesenta y siete
correctmultilingual.numword-v2conf 100% · 1.1s · $0.000 · 24 tok
question
Compute 246 + 92, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos treinta y ocho
correctmultilingual.wordnum-v1conf 100% · 1.1s · $0.000 · 121 tok
question
A number is written in French: « neuf cent neuf ». Another is written in Spanish: « seiscientos 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: 1524
wrongmultilingual.numword-v2conf · 635ms · $0.000 · 23 tok
question
Compute 77 + 187, 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: soixante-quatorze
correctmultilingual.wordnum-v1conf 100% · 115ms · $0.000 · 107 tok
question
A number is written in French: « trois cent quarante-trois ». Another is written in Spanish: « novecientos diez ». 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: 1253
correctmultilingual.numword-v2conf 100% · 868ms · $0.000 · 24 tok
question
Compute 170 + 165, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos treinta y cinco
correctmultilingual.numword-v2conf 100% · 1.4s · $0.000 · 24 tok
question
Compute 469 + 110, 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 setenta y nueve
correctmultilingual.wordnum-v1anchorconf 100% · 829ms · $0.000 · 88 tok
model answer: 150
wrongmultilingual.numword-v2anchorconf 100% · 530ms · $0.000 · 30 tok
model answer: quatre cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 100% · 519ms · $0.000 · 133 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 100% · 1.2s · $0.000 · 19 tok
model answer: seiscientos ocho
reasoning 19/30 correct
correctreasoning.deduction.order-v2conf 100% · 3.3s · $0.000 · 283 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Emil is taller than Ola. Priya is taller than Nadir. Quinn is taller than Priya. Mona is taller than Emil. Ola is taller than Quinn. Liam is taller than Mona. Ola is taller than Nadir. Emil is taller than Quinn. Liam is taller than Quinn. Rosa is faster than everyone here, but Rosa is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 95% · 1.1s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 2 in the queue. Goran is directly ahead of Sami. Dara is directly ahead of Mona. 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: Sami
wrongreasoning.deduction.order-v2conf 90% · 1.6s · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Alice. Nadir is older than Sami. Kira is older than Hana. Hana is older than Rosa. Hana is older than Nadir. Emil is older than Kira. Tessa is heavier than everyone here, but Tessa is not being ranked. Nadir is older than Alice. Hana is older than Rosa. Sami is older than Rosa. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
wrongreasoning.deduction.position-v1conf 100% · 1.7s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Bruno. Bruno is directly ahead of Goran. Goran 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: Sami
wrongreasoning.deduction.order-v2conf 90% · 1.3s · $0.000 · 14 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ola is taller than Ines. Goran is taller than Quinn. Farah is taller than Chen. Quinn is taller than Emil. Ines is taller than Emil. Ines is taller than Emil. Emil is taller than Farah. Priya is older than everyone here, but Priya is not being ranked. Ines is taller than Goran. Quinn is taller than Chen. 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: Chen
correctreasoning.deduction.position-v1conf · 1.4s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Mona. Jonas is directly ahead of Goran. Bruno 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: Mona
correctreasoning.deduction.position-v1conf 100% · 1.1s · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Liam. Hana is number 1 in the queue. Tessa is directly ahead of Bruno. 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: Hana
correctreasoning.deduction.order-v2conf · 810ms · $0.000 · 619 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Sami is older than Mona. Goran is older than Farah. Sami is older than Goran. Sami is older than Ines. Quinn is faster than everyone here, but Quinn is not being ranked. Mona is older than Farah. Goran is older than Mona. Ines is older than Tessa. Jonas is older than Sami. Tessa is older than Goran. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.order-v2conf 90% · 1.2s · $0.000 · 15 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Liam is taller than Hana. Alice is taller than Liam. Quinn is taller than Alice. Farah is taller than Quinn. Dara is taller than Quinn. Dara is taller than Liam. Ines is faster than everyone here, but Ines is not being ranked. Farah is taller than Dara. Farah is taller than Hana. Chen is taller than Farah. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
wrongreasoning.deduction.position-v1conf 100% · 1.3s · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Alice. Quinn is directly ahead of Mona. Ines is directly ahead of Quinn. Alice is number 4 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
wrongreasoning.deduction.order-v2conf · 1.0s · $0.000 · 15 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Mona. Alice is faster than Quinn. Bruno is faster than Ines. Rosa is heavier than everyone here, but Rosa is not being ranked. Quinn is faster than Tessa. Tessa is faster than Bruno. Bruno is faster than Sami. Quinn is faster than Ines. Quinn is faster than Mona. Mona is faster than Ines. 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: Sami
correctreasoning.deduction.order-v2conf 95% · 993ms · $0.000 · 375 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Sami. Goran is faster than Mona. Goran is faster than Jonas. Nadir is taller than everyone here, but Nadir is not being ranked. Bruno is faster than Kira. Kira is faster than Goran. Quinn is faster than Sami. Quinn is faster than Mona. Jonas is faster than Quinn. Bruno is faster than Goran. 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: Kira
correctreasoning.deduction.position-v1conf · 887ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 1 in the queue. Emil is directly ahead of Alice. Priya is directly ahead of Emil. 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: Hana
wrongreasoning.deduction.order-v2conf · 895ms · $0.000 · 14 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Bruno is heavier than Goran. Farah is older than everyone here, but Farah is not being ranked. Priya is heavier than Liam. Tessa is heavier than Jonas. Tessa is heavier than Bruno. Quinn is heavier than Tessa. Liam is heavier than Jonas. Goran is heavier than Jonas. Goran is heavier than Priya. Tessa is heavier 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: Jonas
correctreasoning.deduction.position-v1conf · 176ms · $0.000 · 58 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Tessa. Ola is directly ahead of Ines. Ines is number 2 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.order-v2conf 100% · 219ms · $0.000 · 450 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Sami is heavier than Dara. Hana is heavier than Dara. Farah is heavier than Hana. Farah is heavier than Sami. Ola is older than everyone here, but Ola is not being ranked. Hana is heavier than Sami. Goran is heavier than Farah. Nadir is heavier than Goran. Farah is heavier than Mona. Mona is heavier than Hana. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
wrongreasoning.deduction.position-v1conf · 847ms · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Liam. Bruno is directly ahead of Rosa. Liam is number 2 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.position-v1conf · 803ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Liam. Goran is directly ahead of Sami. Liam is directly ahead of Goran. Sami is number 4 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: Sami
correctreasoning.deduction.position-v1conf · 587ms · $0.000 · 105 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 2 in the queue. Chen is directly ahead of Jonas. Goran is directly ahead of Bruno. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.order-v2conf · 706ms · $0.000 · 401 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Goran is heavier than Emil. Jonas is faster than everyone here, but Jonas is not being ranked. Goran is heavier than Rosa. Hana is heavier than Priya. Quinn is heavier than Priya. Hana is heavier than Quinn. Emil is heavier than Hana. Quinn is heavier than Farah. Rosa is heavier than Emil. Farah is heavier than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf · 807ms · $0.000 · 515 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Mona is heavier than Bruno. Mona is heavier than Rosa. Hana is heavier than Emil. Mona is heavier than Kira. Bruno is heavier than Hana. Rosa is heavier than Bruno. Sami is faster than everyone here, but Sami is not being ranked. Emil is heavier than Kira. Alice is heavier than Kira. Emil is heavier than Alice. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
wrongreasoning.deduction.order-v2conf · 802ms · $0.000 · 14 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Tessa is older than Sami. Goran is older than Liam. Bruno is taller than everyone here, but Bruno is not being ranked. Goran is older than Priya. Liam is older than Priya. Sami is older than Goran. Tessa is older than Priya. Priya is older than Quinn. Tessa is older than Ines. Ines is older 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: Liam
wrongreasoning.deduction.position-v1conf 90% · 1.3s · $0.000 · 14 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Tessa. Alice is directly ahead of Nadir. Dara is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
correctreasoning.deduction.position-v1conf 100% · 833ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Bruno. Bruno is directly ahead of Ola. Ola is number 3 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
wrongreasoning.deduction.order-v2conf 85% · 1.0s · $0.000 · 16 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Goran is taller than Chen. Nadir is taller than Goran. Farah is taller than Goran. Nadir is taller than Emil. Rosa is faster than everyone here, but Rosa is not being ranked. Farah is taller than Chen. Farah is taller than Alice. Emil is taller than Farah. Mona is taller than Nadir. Chen is taller than Alice. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.position-v1conf 100% · 823ms · $0.000 · 12 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Ines. Ines is directly ahead of Jonas. Priya is directly ahead of Liam. Jonas is number 4 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: Jonas
wrongreasoning.deduction.position-v1anchorconf 100% · 1.3s · $0.000 · 16 tok
model answer: Goran
correctreasoning.deduction.order-v2anchorconf 95% · 1.3s · $0.000 · 789 tok
model answer: Mona
correctreasoning.deduction.order-v2anchorconf · 775ms · $0.000 · 361 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 90% · 1.2s · $0.000 · 16 tok
model answer: Farah
terminal 29/30 correct
correctterminal.exit.chain-v1conf 100% · 117ms · $0.000 · 402 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
grep -q basil notes.txt && echo A || echo B
true && echo C || echo D
false && echo E || echo F
test -f app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F Z exit:0
correctterminal.fs.tree-v1conf 100% · 991ms · $0.000 · 692 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/assets`):

```
/proj/assets/notes.md
/proj/assets/setup.txt
/proj/index.log
/proj/logs/todo.txt
/proj/main.log
```

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

```sh
mv main.log assets/
mkdir -p logs/docs-9
mkdir -p logs/conf-5
cd logs
touch ../../proj/index-1.txt
cd ../../proj/docs
rm ../../proj/index.log
rm ../../proj/assets/setup.txt
cd ../../proj/logs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/main.log /proj/assets/notes.md /proj/index-1.txt /proj/logs/todo.txt
correctterminal.fs.tree-v1conf 95% · 1.6s · $0.000 · 784 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/docs`, `/proj/conf`):

```
/proj/assets/index.log
/proj/assets/setup.log
/proj/assets/todo.log
/proj/notes.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
touch assets/todo-7.txt
cd docs
cp ../../proj/assets/todo-7.txt ../../proj/
mv ../../proj/notes.txt ../../proj/conf/
cp ../../proj/assets/index.log ../../proj/
touch ../../proj/conf/report-2.cfg
cd .
touch ../../proj/main-2.cfg
cp ../../proj/conf/report-2.cfg ./
cd ../../proj/assets
```

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/index.log /proj/assets/setup.log /proj/assets/todo-7.txt /proj/assets/todo.log /proj/conf/notes.txt /proj/conf/report-2.cfg /proj/docs/report-2.cfg /proj/index.log /proj/main-2.cfg /proj/todo-7.txt /proj/util.log
correctterminal.pipeline.predict-v1conf · 846ms · $0.000 · 208 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,eng,31,36
cy,eng,82,44
jon,hr,79,56
bo,ops,49,15
lou,legal,12,19
ana,sales,21,24
eli,eng,35,87
oli,legal,42,16
gus,ops,93,76
kim,hr,58,28
ivy,legal,6,33
fay,hr,25,59
pam,legal,63,96
```

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: 123
correctterminal.exit.chain-v1conf · 1.3s · $0.000 · 451 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q dune notes.txt && echo A || echo B
false && echo C || echo D
grep -q basil notes.txt && echo E || echo F
test -f tmp.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E H exit:1
correctterminal.fs.tree-v1conf 100% · 1.3s · $0.000 · 1018 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/build`, `/proj/conf`):

```
/proj/conf/util.md
/proj/report.txt
/proj/setup.log
/proj/src/draft.log
/proj/src/main.md
```

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

```sh
mv conf/util.md conf/notes-1.cfg
cd build
cp ../../proj/setup.log ../../proj/src/
mv ../../proj/setup.log ../../proj/
rm ../../proj/conf/notes-1.cfg
touch ../../proj/src/report-8.txt
rm ../../proj/report.txt
cd ../../proj/src
mv draft.log ../../proj/conf/
```

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/draft.log /proj/setup.log /proj/src/main.md /proj/src/report-8.txt /proj/src/setup.log
correctterminal.pipeline.predict-v1conf 100% · 658ms · $0.000 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,legal,110,29
eli,hr,51,42
gus,eng,74,47
pam,hr,116,47
ned,eng,103,95
bo,ops,92,87
ana,ops,55,46
max,eng,63,52
dev,hr,23,48
fay,hr,101,62
kim,hr,109,77
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -n 2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ivy,110
correctterminal.exit.chain-v1conf 100% · 1.6s · $0.000 · 431 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
test -f ghost.txt && echo A || echo B
grep -q basil notes.txt && echo C || echo D
grep -q basil 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 D F G Z exit:0
correctterminal.fs.tree-v1conf 100% · 1.4s · $0.000 · 652 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/conf`):

```
/proj/assets/main.cfg
/proj/conf/notes.md
/proj/conf/setup.md
/proj/index.log
/proj/report.log
```

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

```sh
touch assets/notes-7.cfg
mv assets/main.cfg conf/
rm conf/setup.md
cd assets
rm ../../proj/conf/main.cfg
cd ../../proj/docs
mkdir -p ../../proj/assets/src-4
rm ../../proj/conf/notes.md
cp ../../proj/index.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/notes-7.cfg /proj/docs/index.log /proj/index.log /proj/report.log
correctterminal.pipeline.predict-v1conf 100% · 792ms · $0.000 · 397 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,eng,114,63
kim,hr,35,46
ana,eng,40,24
dev,hr,39,81
oli,ops,104,30
fay,ops,101,65
eli,eng,89,20
jon,hr,56,72
cy,ops,68,81
gus,eng,18,49
ivy,hr,34,65
pam,hr,29,37
max,hr,111,50
hal,eng,50,22
```

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: cy,ops,68,81 fay,ops,101,65 oli,ops,104,30
correctterminal.exit.chain-v1conf · 831ms · $0.000 · 448 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f app.txt && echo A || echo B
test -f ghost.txt && echo C || echo D
test -f ghost.txt && 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: A D F H Z exit:0
correctterminal.fs.tree-v1conf 100% · 1.4s · $0.000 · 731 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/build`):

```
/proj/assets/report.log
/proj/setup.log
/proj/src/index.md
/proj/src/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
cp src/index.md assets/
rm assets/index.md
touch util-4.txt
cd .
mv src/index.md build/
touch notes-2.cfg
touch build/util-6.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/report.log /proj/build/index.md /proj/build/util-6.md /proj/notes-2.cfg /proj/setup.log /proj/src/notes.log /proj/todo.log /proj/util-4.txt
correctterminal.pipeline.predict-v1conf 100% · 855ms · $0.000 · 214 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
jon,ops,14,82
bo,ops,10,50
ana,hr,94,35
oli,hr,73,65
ivy,sales,81,59
ned,sales,104,24
pam,hr,98,19
dev,ops,47,22
max,sales,99,31
hal,legal,26,91
fay,legal,42,68
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 284
correctterminal.exit.chain-v1conf 100% · 1.2s · $0.000 · 313 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f data.txt && echo A || echo B
false && echo C || echo D
true && echo E || echo F
grep -q coral 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 D E G Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 1.0s · $0.000 · 186 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,sales,94,28
lou,sales,66,38
fay,hr,68,72
ivy,ops,87,46
pam,ops,36,56
oli,ops,53,12
kim,legal,67,60
ned,legal,58,37
ana,sales,82,16
cy,eng,56,42
gus,hr,87,23
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 56
correctterminal.fs.tree-v1conf 95% · 1.4s · $0.000 · 995 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/docs`):

```
/proj/build/setup.log
/proj/docs/notes.txt
/proj/docs/util.md
/proj/draft.md
/proj/index.cfg
```

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

```sh
touch build/notes-9.md
mkdir -p build-7
cp build/notes-9.md docs/
cd build-7
mkdir -p logs-2
touch ../../proj/report-1.md
mv ../../proj/docs/notes-9.md ../../proj/docs/
cd ../../proj/build
mv ../../proj/docs/util.md ../../proj/docs/report-9.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/notes-9.md /proj/build/setup.log /proj/docs/notes-9.md /proj/docs/notes.txt /proj/docs/report-9.md /proj/draft.md /proj/index.cfg /proj/report-1.md
correctterminal.exit.chain-v1conf 100% · 1.6s · $0.000 · 416 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E Z exit:0
correctterminal.fs.tree-v1conf 100% · 1.3s · $0.000 · 650 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/docs`):

```
/proj/assets/report.txt
/proj/assets/util.txt
/proj/logs/draft.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
mkdir -p logs/docs-6
mkdir -p docs/logs-8
mv assets/util.txt logs/docs-6/
cd assets
touch ../../proj/report-7.md
touch ../../proj/logs/index-4.md
mkdir -p ../../proj/docs/logs-8/src-6
cd ../../proj/docs/logs-8
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report.txt /proj/logs/docs-6/util.txt /proj/logs/draft.cfg /proj/logs/index-4.md /proj/main.log /proj/report-7.md /proj/todo.txt
correctterminal.exit.chain-v1conf 100% · 1.4s · $0.000 · 300 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E G Z exit:0
wrongterminal.pipeline.predict-v1conf 100% · 1.6s · $0.000 · 18 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,hr,53,32
jon,legal,17,73
oli,eng,81,65
fay,sales,51,41
cy,hr,15,94
eli,eng,61,57
ivy,hr,53,86
dev,sales,38,79
ana,eng,119,19
max,eng,15,99
hal,hr,32,31
lou,eng,46,76
bo,legal,57,28
gus,legal,105,33
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cy,15 hal,32 CONFIDENCE: 100
correctterminal.pipeline.predict-v1conf 100% · 1.0s · $0.000 · 288 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,sales,120,51
dev,hr,81,95
fay,eng,42,70
ana,eng,54,54
pam,eng,4,19
eli,hr,53,60
jon,ops,20,74
max,sales,37,52
gus,eng,119,50
lou,sales,40,47
ned,eng,46,39
bo,hr,18,14
hal,ops,93,64
ivy,legal,115,70
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 55 { 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: 1
correctterminal.exit.chain-v1conf · 911ms · $0.000 · 420 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F G exit:1
correctterminal.fs.tree-v1conf · 559ms · $0.000 · 638 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/docs`):

```
/proj/assets/util.log
/proj/docs/report.txt
/proj/index.log
/proj/src/setup.txt
/proj/todo.md
```

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

```sh
mv docs/report.txt docs/todo-3.txt
rm index.log
mv docs/todo-3.txt assets/
touch util-2.log
touch assets/index-7.txt
cd .
cp assets/index-7.txt ./
touch src/setup-3.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/index-7.txt /proj/assets/todo-3.txt /proj/assets/util.log /proj/index-7.txt /proj/src/setup-3.log /proj/src/setup.txt /proj/todo.md /proj/util-2.log
correctterminal.pipeline.predict-v1conf 100% · 1.2s · $0.000 · 305 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,legal,103,87
cy,hr,6,40
oli,ops,28,52
ned,sales,119,12
ana,legal,73,47
lou,sales,15,59
hal,eng,53,65
bo,legal,54,38
pam,ops,69,33
fay,eng,86,85
gus,hr,95,75
ivy,eng,62,63
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 80 { 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: 0
correctterminal.fs.tree-v1conf · 967ms · $0.000 · 704 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/logs`):

```
/proj/build/draft.log
/proj/docs/index.log
/proj/docs/todo.md
/proj/main.log
/proj/notes.log
```

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

```sh
touch build/util-2.txt
cd docs
mkdir -p assets-5
cd .
mv ../../proj/build/util-2.txt ../../proj/build/main-2.cfg
mkdir -p assets-3
mkdir -p assets-3/src-9
cd ../../proj
rm docs/todo.md
cp notes.log logs/
cd build
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft.log /proj/build/main-2.cfg /proj/docs/index.log /proj/logs/notes.log /proj/main.log /proj/notes.log
correctterminal.exit.chain-v1conf 100% · 1.2s · $0.000 · 479 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F G exit:1
correctterminal.exit.chain-v1anchorconf 100% · 1.5s · $0.000 · 355 tok
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1anchorconf 100% · 1.7s · $0.000 · 357 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.fs.tree-v1anchorconf · 1.1s · $0.000 · 909 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 · 295 tok
model answer: 1

Run history

  • 2026-08-05v0.2.0index_fit630
  • 2026-08-05v0.2.0index_fit630
  • 2026-08-05v0.2.0index_fit633
  • 2026-08-05v0.2.0index_fit633
  • 2026-08-05v0.2.0index_fit633
  • 2026-08-05v0.2.0index_fit633
  • 2026-08-05v0.2.0index_fit631
  • 2026-08-05v0.2.0index_fit632
  • 2026-08-05v0.2.0index_fit631
  • 2026-08-05v0.2.0index_fit631
  • 2026-08-05v0.2.0index_fit615
  • 2026-08-05v0.2.0index_fit615
  • 2026-08-05v0.2.0index_fit615
  • 2026-08-05v0.2.0index_fit614
  • 2026-08-05v0.2.0index_fit614
  • 2026-08-05v0.2.0index_fit616
  • 2026-08-05v0.2.0index_fit616
  • 2026-08-05v0.2.0index_fit609
  • 2026-08-05v0.2.0index_fit611
  • 2026-08-05v0.2.0index_fit614