MiniMax: MiniMax M3

minimax/minimax-m3 · minimax · context 1 048 576 · in $0.300/1M · out $1.20/1M

Global Index

706

95% CI [643–769] · index v0.2.0

Per-domain scores

Domain	Score (95% CI)	Accuracy (IRT)	Consistency	Calibration	Contam. Δ	p50	$/1k
instruction following	808 [672–944]	0.728	0.83	0.97	0.000	793ms	$0.731
knowledge	722 [551–894]	0.542	0.98	1.00	0.000	1.0s	$0.117
math	632 [482–783]	0.574	0.91	0.91	0.120	826ms	$0.464
multilingual	700 [542–857]	0.618	0.95	0.94	0.077	834ms	$0.168
reasoning	726 [580–872]	0.659	0.95	0.95	0.077	707ms	$0.445
vision ocr	648 [491–805]	0.534	0.95	0.93	0.077	2.1s	$0.434

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 24/30 correct

correctagentic.tools.ledger-v1conf 99% · 1.5s · $0.001 · 881 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: $161
- lima: $383
- bravo: $168

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $251 from "bravo" to "echo"
2. pay $572 from "bravo" to "lima"
3. pay $483 from "echo" to "lima"
4. pay $194 from "bravo" to "lima"
5. pay $196 from "lima" 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": "top_up_from_reserve", "args": {"account": "bravo", "amount": 83}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "echo", "amount": 251}},
  {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 572}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 572}},
  {"tool": "top_up_from_reserve", "args": {"account": "echo", "amount": 71}},
  {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 483}},
  {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 194}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 194}},
  {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 196}}
]

correctagentic.tools.context-load-v1conf 99% · 2.4s · $0.006 · 4144 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 (277 records, format: id|customer|region|item|qty|status):
```
2502|ionic|south|pump|84|shipped
2027|ember|south|cable|79|shipped
1745|cobalt|north|pump|96|shipped
1582|birch|north|pump|69|pending
2146|birch|east|pump|49|shipped
2335|ember|south|panel|96|held
2421|dorian|east|rotor|23|held
1605|cobalt|west|sensor|48|pending
2095|dorian|east|panel|70|paid
1857|birch|north|frame|24|held
1735|juno|north|valve|15|paid
2386|acme|south|frame|38|held
2285|birch|west|valve|50|shipped
2091|harbor|north|panel|53|paid
2053|harbor|west|panel|65|held
2110|harbor|north|panel|80|pending
1894|harbor|north|sensor|21|held
2496|birch|north|panel|33|held
2170|harbor|east|gasket|27|held
2477|gale|north|sensor|49|held
2571|juno|west|panel|57|held
2567|acme|south|pump|53|held
2412|dorian|west|cable|56|paid
1809|juno|south|rotor|63|shipped
1506|juno|south|gasket|24|pending
2198|ionic|west|rotor|30|shipped
2078|dorian|south|cable|37|shipped
1875|juno|north|frame|87|shipped
1520|juno|east|valve|66|pending
1499|juno|east|cable|80|pending
2278|acme|west|gasket|23|pending
1848|cobalt|west|valve|47|held
1802|ember|south|pump|97|shipped
2015|fulton|west|rotor|64|shipped
1630|acme|north|rotor|29|shipped
2382|ember|west|sensor|79|paid
2111|juno|north|rotor|28|held
1623|gale|south|sensor|28|held
1562|fulton|east|panel|11|held
1540|juno|north|rotor|24|pending
2246|harbor|south|sensor|25|paid
1718|juno|west|rotor|61|held
1662|gale|west|frame|90|paid
2003|ionic|west|pump|70|held
2177|juno|east|sensor|38|held
2251|cobalt|south|frame|88|paid
2191|juno|south|rotor|72|held
2137|cobalt|west|valve|95|held
1951|harbor|west|sensor|26|shipped
2101|dorian|east|frame|59|shipped
2294|acme|south|cable|64|shipped
1694|juno|east|cable|10|paid
2385|ember|north|gasket|87|paid
2444|gale|north|frame|98|paid
2529|fulton|north|gasket|46|held
1803|harbor|east|panel|67|paid
2317|juno|west|gasket|78|paid
1778|ionic|south|cable|48|held
1568|cobalt|north|gasket|25|paid
1938|gale|west|pump|63|held
2069|ember|south|pump|11|pending
1591|birch|west|pump|88|held
2522|ionic|north|sensor|79|pending
1928|cobalt|east|cable|21|held
1815|cobalt|south|rotor|90|shipped
2271|dorian|north|valve|52|shipped
1843|birch|north|panel|44|held
2167|acme|south|frame|67|pending
2256|birch|west|gasket|86|pending
1862|birch|east|pump|18|paid
1868|fulton|west|sensor|74|pending
1787|dorian|west|panel|17|paid
1500|juno|north|valve|61|held
1495|juno|north|rotor|93|pending
1763|ionic|south|panel|63|pending
1703|dorian|east|pump|59|paid
1887|ember|north|gasket|15|shipped
2506|gale|south|valve|96|shipped
2151|dorian|south|valve|32|held
2354|birch|east|cable|76|held
1590|gale|east|pump|58|shipped
1550|juno|north|panel|49|paid
1768|harbor|west|panel|84|pending
2345|juno|north|sensor|92|held
1834|acme|east|valve|66|held
2143|harbor|south|cable|22|shipped
2176|acme|east|panel|79|paid
1656|harbor|south|pump|97|held
2031|fulton|north|sensor|15|held
1647|fulton|west|frame|11|held
2414|ionic|west|cable|15|held
1788|juno|west|sensor|34|held
2040|fulton|south|rotor|67|shipped
1767|gale|east|cable|17|held
2291|ionic|south|sensor|14|pending
1614|birch|south|rotor|46|pending
2553|fulton|north|gasket|10|shipped
2266|cobalt|north|cable|29|shipped
1958|ember|west|gasket|70|shipped
1687|gale|north|cable|43|paid
2085|acme|south|gasket|60|paid
1536|juno|north|frame|28|shipped
2312|cobalt|west|cable|79|pending
2566|dorian|south|sensor|80|paid
2296|ionic|south|valve|82|paid
1901|harbor|east|valve|75|paid
1961|ember|south|rotor|23|held
1996|fulton|north|panel|56|pending
1586|gale|west|valve|51|held
2000|ionic|south|valve|28|paid
2586|dorian|west|gasket|13|paid
2123|dorian|west|gasket|31|paid
1534|juno|east|cable|61|pending
1642|gale|north|pump|63|shipped
2249|fulton|west|valve|28|pending
1942|dorian|west|frame|23|pending
2218|ember|east|pump|76|paid
2433|dorian|south|panel|22|shipped
2509|dorian|west|panel|24|paid
2020|birch|west|valve|64|held
1555|ember|south|frame|37|held
2365|cobalt|south|sensor|65|pending
2033|ember|north|sensor|33|pending
1659|cobalt|north|cable|20|held
1560|birch|east|panel|85|held
1518|juno|north|cable|58|pending
1758|ionic|south|rotor|62|shipped
2457|fulton|north|rotor|74|held
2514|dorian|south|gasket|12|held
2352|birch|north|gasket|47|paid
2403|ember|east|pump|99|held
1522|juno|north|rotor|96|paid
1752|acme|south|cable|40|shipped
2325|birch|north|valve|93|shipped
2032|acme|north|sensor|70|shipped
1933|ionic|north|frame|61|held
2229|fulton|east|valve|69|shipped
1886|acme|west|rotor|91|held
2523|dorian|east|cable|25|paid
1606|ionic|east|gasket|75|paid
1877|juno|north|panel|39|paid
1503|juno|north|sensor|17|pending
1921|juno|east|cable|43|pending
1946|acme|north|pump|29|paid
1706|acme|north|cable|92|shipped
1658|fulton|north|gasket|33|pending
2568|harbor|north|panel|84|paid
1911|harbor|north|valve|60|paid
1529|juno|north|gasket|91|pending
2210|juno|west|gasket|34|paid
2215|dorian|east|gasket|94|shipped
1904|harbor|south|cable|99|paid
2541|harbor|south|rotor|75|paid
2185|ember|east|gasket|14|held
1676|ionic|north|sensor|10|held
2283|juno|north|gasket|74|shipped
2450|acme|north|valve|82|shipped
1741|birch|south|rotor|37|paid
2577|cobalt|east|cable|11|paid
2436|juno|west|valve|21|paid
1573|ember|west|rotor|48|pending
2508|fulton|west|cable|42|shipped
2535|fulton|east|rotor|63|shipped
1649|fulton|west|valve|17|held
1671|dorian|west|frame|68|held
2364|harbor|south|rotor|62|held
2341|birch|south|pump|68|pending
2014|cobalt|east|valve|80|pending
2118|fulton|south|panel|91|shipped
2590|acme|north|frame|20|shipped
2182|acme|east|frame|28|held
2008|gale|north|pump|82|pending
2559|juno|south|sensor|71|paid
2135|juno|east|frame|51|held
1599|cobalt|east|sensor|84|paid
2437|juno|south|valve|41|held
2467|gale|west|rotor|21|shipped
1700|birch|east|rotor|46|pending
2232|cobalt|north|sensor|35|shipped
2351|ionic|west|sensor|82|shipped
2160|acme|west|gasket|94|shipped
1713|ember|south|sensor|44|pending
1839|gale|west|gasket|40|pending
1829|acme|south|pump|70|pending
1799|juno|east|panel|44|shipped
1975|ember|south|rotor|56|held
2075|ember|north|sensor|55|pending
2428|fulton|east|cable|55|pending
2549|birch|west|cable|57|paid
1595|dorian|north|pump|62|paid
1873|dorian|north|rotor|27|shipped
1780|fulton|west|valve|87|held
2112|fulton|south|pump|79|pending
2468|birch|south|panel|32|pending
2542|dorian|north|gasket|57|shipped
2392|birch|north|rotor|86|paid
1999|harbor|south|panel|54|pending
2261|harbor|west|sensor|55|held
2303|ionic|west|panel|44|paid
1512|juno|north|rotor|40|shipped
1850|juno|south|cable|95|pending
1994|ionic|west|valve|33|paid
1748|cobalt|east|pump|45|shipped
1825|acme|north|valve|66|held
2510|acme|east|gasket|73|held
2372|juno|west|frame|48|shipped
1882|gale|north|frame|45|paid
1944|juno|east|cable|78|shipped
2410|juno|north|frame|17|paid
1916|gale|south|rotor|77|pending
1607|ember|north|frame|92|pending
1967|harbor|west|pump|66|paid
2104|ionic|west|cable|73|shipped
2399|juno|south|cable|69|paid
2357|cobalt|east|frame|57|paid
1682|harbor|west|rotor|63|pending
2022|ember|south|frame|71|held
2581|gale|east|gasket|27|paid
2041|birch|east|gasket|61|paid
1577|gale|east|rotor|37|paid
2155|ionic|east|panel|81|shipped
2461|ionic|north|gasket|23|shipped
2173|ember|east|pump|31|paid
2375|dorian|north|pump|42|held
1633|birch|west|rotor|38|pending
2494|juno|west|pump|24|paid
2189|acme|west|rotor|54|held
2329|birch|west|gasket|82|held
2323|acme|north|panel|21|held
2026|gale|east|frame|61|paid
2239|ionic|north|panel|80|held
1621|gale|south|rotor|34|shipped
2472|gale|west|sensor|61|paid
2193|harbor|north|sensor|38|pending
2179|ionic|east|sensor|12|paid
2054|acme|north|cable|81|shipped
2489|harbor|east|pump|74|shipped
2046|cobalt|south|pump|50|held
2484|ember|west|frame|30|pending
2305|ember|north|sensor|72|pending
1820|ember|west|valve|36|shipped
1731|ionic|north|gasket|77|paid
2035|cobalt|south|pump|74|held
1845|ember|north|frame|29|shipped
2084|ember|west|valve|32|paid
2044|birch|east|pump|15|pending
2204|cobalt|west|sensor|37|paid
2557|dorian|south|cable|89|pending
2377|ember|east|pump|82|paid
1544|juno|west|frame|41|pending
1792|gale|north|rotor|79|shipped
2231|fulton|east|pump|50|paid
2060|fulton|east|frame|72|pending
1986|juno|north|cable|68|held
2034|dorian|north|sensor|78|pending
2418|ionic|west|gasket|70|shipped
1980|ember|east|rotor|24|held
1669|ionic|north|gasket|40|pending
2223|juno|south|pump|89|pending
1635|gale|south|panel|54|pending
1724|ember|east|cable|50|shipped
2130|ionic|east|gasket|16|paid
1774|birch|west|panel|91|paid
1993|fulton|south|cable|83|pending
2516|cobalt|east|rotor|55|shipped
2083|harbor|west|cable|11|shipped
1766|dorian|north|cable|98|held
1663|cobalt|north|gasket|49|paid
2062|ember|south|sensor|68|held
2258|ember|west|rotor|69|pending
2546|gale|north|cable|48|pending
1972|dorian|west|cable|20|pending
1629|ember|east|sensor|79|shipped
1707|ionic|south|cable|86|held
2409|fulton|south|gasket|28|pending
2518|birch|east|valve|42|held
2569|dorian|south|rotor|52|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "restock", "args": {"item": "rotor", "qty": 93}},
  {"tool": "cancel_order", "args": {"order_id": 1503}},
  {"tool": "cancel_order", "args": {"order_id": 1518}},
  {"tool": "restock", "args": {"item": "gasket", "qty": 91}},
  {"tool": "cancel_order", "args": {"order_id": 1540}}
]

wrongagentic.tools.triage-v1conf 95% · 1.8s · $0.000 · 101 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- payments → novak
- data → rivera
- auth → dubois

INCIDENTS:
1. "refund double-charged" (category: payments, priority 3)
2. "export file corrupted" (category: data, priority 4)
3. "refund double-charged" (category: payments, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 3}},
  {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 4}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}
]

correctagentic.tools.context-load-v1conf 99% · 10.0s · $0.001 · 507 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 (123 records, format: id|customer|region|item|qty|status):
```
1612|juno|south|frame|20|held
1614|dorian|west|cable|18|shipped
1472|gale|south|cable|13|shipped
1460|harbor|west|sensor|65|pending
1218|harbor|south|cable|91|held
1248|harbor|south|panel|31|pending
1646|juno|east|cable|78|shipped
1277|harbor|east|pump|33|pending
1552|dorian|south|cable|61|shipped
1290|ionic|east|panel|54|paid
1323|cobalt|south|pump|27|held
1701|gale|north|frame|29|pending
1466|dorian|east|rotor|34|held
1502|dorian|north|sensor|67|paid
1529|harbor|west|cable|66|shipped
1603|dorian|east|rotor|40|paid
1520|dorian|east|panel|69|pending
1525|cobalt|south|pump|22|paid
1619|cobalt|south|gasket|43|paid
1490|ionic|east|sensor|34|shipped
1706|dorian|south|pump|31|shipped
1362|fulton|west|cable|71|paid
1657|fulton|west|frame|69|paid
1572|birch|south|sensor|23|pending
1237|harbor|south|pump|11|pending
1373|fulton|east|panel|90|held
1393|dorian|west|pump|71|shipped
1268|gale|north|pump|22|shipped
1405|ionic|west|panel|64|held
1461|birch|north|cable|48|shipped
1513|juno|south|cable|75|paid
1484|birch|west|pump|54|shipped
1568|ember|west|valve|30|shipped
1588|cobalt|west|valve|79|held
1534|cobalt|north|sensor|36|paid
1668|harbor|north|cable|77|pending
1518|juno|west|sensor|27|held
1651|juno|north|valve|26|shipped
1280|acme|west|gasket|44|shipped
1327|dorian|north|frame|22|shipped
1227|harbor|north|frame|64|pending
1240|harbor|west|sensor|98|pending
1445|fulton|south|gasket|25|shipped
1256|harbor|south|frame|49|held
1541|fulton|south|cable|52|held
1517|acme|south|frame|50|pending
1574|birch|west|panel|21|pending
1437|harbor|west|gasket|25|pending
1354|birch|south|frame|96|paid
1333|acme|east|cable|54|pending
1599|dorian|east|gasket|48|shipped
1310|ember|south|rotor|28|pending
1661|dorian|east|rotor|62|pending
1359|harbor|south|sensor|22|held
1427|fulton|east|gasket|24|shipped
1430|fulton|south|cable|80|paid
1677|gale|south|rotor|37|paid
1409|fulton|south|panel|21|pending
1246|harbor|south|sensor|22|paid
1608|juno|south|pump|92|shipped
1509|ember|south|valve|50|held
1562|ember|west|pump|96|held
1578|fulton|west|panel|47|held
1423|ember|south|gasket|40|held
1419|birch|west|rotor|95|held
1641|ember|south|sensor|52|shipped
1231|harbor|south|pump|56|held
1272|harbor|south|sensor|37|pending
1708|birch|west|valve|97|held
1444|ionic|west|rotor|59|shipped
1678|ionic|east|rotor|33|paid
1695|ionic|east|panel|63|paid
1547|ionic|west|pump|66|shipped
1711|acme|west|pump|72|held
1496|cobalt|west|pump|59|paid
1628|dorian|south|gasket|34|paid
1249|harbor|north|sensor|61|pending
1368|juno|east|panel|85|held
1286|birch|east|valve|90|held
1452|ionic|east|gasket|81|shipped
1342|fulton|west|pump|46|held
1684|acme|north|valve|52|shipped
1639|dorian|south|rotor|68|shipped
1521|harbor|west|panel|44|paid
1576|harbor|east|cable|88|held
1674|birch|east|frame|39|paid
1626|ember|south|frame|47|pending
1559|birch|east|gasket|14|held
1299|ionic|north|pump|93|held
1640|gale|south|frame|77|shipped
1347|gale|east|panel|93|shipped
1683|birch|west|sensor|58|held
1313|cobalt|south|sensor|53|held
1477|fulton|east|sensor|85|paid
1379|cobalt|north|valve|91|shipped
1304|ember|east|panel|48|paid
1214|harbor|south|rotor|25|pending
1318|birch|north|rotor|23|shipped
1595|harbor|north|panel|12|held
1300|ember|north|valve|65|paid
1577|birch|north|rotor|10|pending
1643|dorian|east|rotor|50|pending
1690|dorian|east|sensor|28|pending
1417|ionic|east|gasket|24|held
1382|juno|west|pump|18|pending
1222|harbor|south|sensor|82|pending
1672|dorian|south|rotor|32|shipped
1527|ionic|north|valve|35|held
1681|acme|north|valve|42|paid
1263|birch|east|gasket|64|shipped
1388|dorian|west|pump|64|paid
1459|birch|north|cable|62|pending
1297|fulton|south|cable|86|held
1399|cobalt|west|sensor|87|shipped
1215|harbor|north|gasket|57|pending
1634|dorian|east|pump|40|pending
1338|juno|west|cable|95|shipped
1671|fulton|east|cable|92|pending
1411|ember|north|sensor|17|paid
1406|ember|north|panel|53|shipped
1621|juno|west|sensor|20|pending
1584|juno|north|valve|69|held
1434|ember|west|cable|71|paid
```

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 > 70, 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": 1214}},
  {"tool": "restock", "args": {"item": "sensor", "qty": 82}},
  {"tool": "cancel_order", "args": {"order_id": 1237}},
  {"tool": "cancel_order", "args": {"order_id": 1248}},
  {"tool": "cancel_order", "args": {"order_id": 1272}}
]

correctagentic.tools.deploy-v1conf 99% · 369ms · $0.001 · 371 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "health_check", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}}
]

correctagentic.tools.ledger-v1conf 99% · 603ms · $0.001 · 636 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: $469
- oscar: $746
- echo: $601

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $193 from "echo" to "oscar"
2. pay $592 from "delta" to "oscar"
3. pay $213 from "delta" to "echo"
4. pay $232 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": "oscar", "amount": 193}},
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 123}},
  {"tool": "transfer", "args": {"from": "delta", "to": "oscar", "amount": 592}},
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 213}},
  {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 213}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 232}}
]

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 (146 records, format: id|customer|region|item|qty|status):
```
1566|ionic|east|frame|77|paid
2026|juno|south|valve|47|shipped
1820|cobalt|west|cable|26|paid
1966|gale|north|panel|50|shipped
1899|ember|east|gasket|59|paid
1548|birch|west|gasket|81|pending
1993|dorian|south|frame|98|shipped
1709|ionic|north|sensor|95|held
1870|gale|north|sensor|74|pending
1884|acme|east|panel|68|shipped
1892|cobalt|south|gasket|71|paid
1857|ionic|west|gasket|46|held
1595|juno|north|rotor|93|shipped
1658|harbor|west|rotor|73|held
1716|juno|south|pump|62|shipped
1927|ember|east|gasket|96|paid
2002|cobalt|north|sensor|11|shipped
1808|fulton|east|valve|74|pending
1900|fulton|west|pump|69|shipped
2049|cobalt|south|cable|69|paid
1560|ember|west|sensor|83|paid
1649|birch|north|pump|79|held
1825|ionic|west|gasket|76|paid
1906|harbor|west|pump|73|pending
2042|acme|west|sensor|86|paid
1731|juno|west|frame|31|paid
1920|cobalt|north|cable|38|pending
1668|acme|east|cable|53|paid
2036|juno|east|gasket|29|shipped
1797|acme|west|sensor|83|paid
1765|harbor|north|valve|93|held
1525|birch|south|rotor|28|pending
1932|cobalt|north|rotor|62|pending
1964|juno|south|rotor|57|pending
1516|birch|south|rotor|77|pending
1916|gale|west|cable|35|paid
1561|juno|south|panel|70|shipped
1619|acme|west|valve|60|paid
1630|acme|south|valve|30|pending
1773|fulton|west|frame|29|shipped
1901|birch|east|valve|50|paid
1573|ember|north|panel|85|shipped
1840|acme|north|sensor|25|held
1986|juno|east|cable|48|shipped
1997|ember|west|valve|68|paid
1839|dorian|east|sensor|72|pending
1542|birch|south|gasket|43|pending
1501|birch|south|sensor|91|paid
1856|ember|south|pump|31|held
1909|gale|west|panel|28|paid
1991|cobalt|south|valve|93|pending
1593|harbor|west|cable|29|paid
1693|gale|west|panel|16|pending
1634|birch|west|gasket|68|pending
1515|birch|south|panel|66|held
1864|fulton|north|panel|98|shipped
1713|cobalt|north|cable|17|pending
1685|gale|south|cable|13|shipped
2062|cobalt|west|cable|56|shipped
2080|gale|south|rotor|47|held
1979|dorian|north|gasket|81|held
1844|dorian|west|gasket|23|paid
1945|harbor|south|valve|37|paid
1815|dorian|west|frame|54|held
1588|gale|south|cable|43|paid
1972|birch|west|sensor|55|held
1495|birch|south|rotor|65|pending
2007|cobalt|east|valve|78|held
1597|birch|west|rotor|32|paid
1725|fulton|east|sensor|49|shipped
2066|dorian|east|valve|25|paid
1958|acme|east|panel|98|shipped
1643|juno|south|valve|93|paid
1586|acme|east|pump|50|shipped
1770|harbor|south|panel|31|pending
2077|fulton|east|pump|53|paid
1851|acme|east|sensor|42|held
1846|ionic|west|valve|44|paid
1937|cobalt|west|cable|47|paid
1793|cobalt|south|cable|33|held
1872|juno|south|frame|69|paid
2070|juno|west|cable|45|pending
1785|fulton|east|sensor|88|held
1888|cobalt|north|gasket|61|shipped
1788|cobalt|south|panel|53|pending
1954|ember|west|sensor|56|held
1813|cobalt|west|cable|46|paid
1950|ember|north|cable|40|paid
1509|birch|west|rotor|81|pending
1924|fulton|south|valve|42|paid
2014|gale|east|sensor|70|held
1845|birch|east|cable|28|shipped
1939|ionic|west|frame|92|paid
1873|fulton|south|sensor|86|paid
1554|birch|south|pump|88|held
1745|gale|south|sensor|81|pending
1699|birch|east|valve|72|paid
2079|juno|west|pump|21|shipped
1911|juno|west|panel|13|shipped
1623|fulton|east|panel|35|shipped
1816|dorian|north|gasket|50|pending
1704|ionic|east|panel|82|shipped
1500|birch|west|valve|40|pending
1801|gale|west|panel|39|held
1677|dorian|east|gasket|81|pending
1875|fulton|east|cable|43|pending
1602|ionic|east|frame|90|held
1752|cobalt|east|gasket|34|paid
1613|acme|west|sensor|76|pending
1832|juno|west|frame|41|pending
2072|birch|north|cable|24|held
1675|ionic|south|panel|78|paid
1523|birch|south|cable|26|paid
1908|ionic|north|cable|40|pending
1578|ionic|north|pump|29|pending
2050|ember|west|frame|42|held
1530|birch|east|sensor|10|pending
1655|harbor|north|gasket|67|pending
1503|birch|south|cable|40|pending
2029|fulton|north|gasket|73|paid
1640|cobalt|south|gasket|66|shipped
1780|juno|north|sensor|34|paid
1758|ionic|south|cable|74|held
1718|dorian|west|valve|93|pending
1737|ember|north|cable|29|held
1763|fulton|north|cable|89|pending
2019|acme|north|rotor|61|shipped
1926|harbor|south|cable|67|shipped
1744|fulton|north|sensor|86|shipped
1521|birch|north|frame|55|pending
1537|birch|south|cable|30|shipped
1750|gale|west|gasket|88|paid
2020|juno|east|valve|95|shipped
1877|dorian|north|sensor|10|shipped
1789|birch|east|sensor|14|shipped
2048|juno|east|frame|65|pending
1662|ember|east|gasket|90|pending
1682|gale|west|valve|95|held
1608|juno|west|frame|59|pending
2033|acme|west|gasket|83|held
1990|gale|east|panel|46|paid
1980|juno|north|valve|57|held
2056|ember|west|pump|42|held
1898|birch|east|panel|58|shipped
1582|fulton|east|cable|59|paid
1691|dorian|east|rotor|42|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 49, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctagentic.tools.triage-v1conf 99% · 760ms · $0.000 · 240 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 → haddad
- infra → novak
- payments → tanaka

INCIDENTS:
1. "export file corrupted" (category: data, priority 2)
2. "uploads failing intermittently" (category: infra, priority 6)
3. "refund double-charged" (category: payments, priority 8)
4. "uploads failing intermittently" (category: infra, priority 6)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}},
  {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
  {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 8}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "tanaka"}},
  {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}}
]

correctagentic.tools.deploy-v1conf 95% · 3.3s · $0.001 · 677 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: (none)
- billing: search
- gateway: search
- auth-svc: billing, gateway

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "search"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "health_check", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}}
]

correctagentic.tools.ledger-v1conf 99% · 2.3s · $0.001 · 503 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: $721
- alpha: $884
- echo: $666

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $379 from "echo" to "alpha"
2. pay $372 from "oscar" to "alpha"
3. pay $348 from "oscar" to "echo"
4. pay $307 from "echo" to "alpha"
5. pay $268 from "alpha" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 379}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 372}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 348}},
  {"tool": "transfer", "args": {"from": "echo", "to": "alpha", "amount": 307}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "oscar", "amount": 268}}
]

correctagentic.tools.triage-v1conf 99% · 3.0s · $0.000 · 206 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 → novak
- data → dubois
- payments → rivera

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 8)
2. "webhooks not delivered" (category: infra, priority 8)
3. "card declined at checkout" (category: payments, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"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": "novak"}},
  {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 8}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}},
  {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}
]

wrongagentic.tools.context-load-v1conf 97% · 2.7s · $0.002 · 551 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 (249 records, format: id|customer|region|item|qty|status):
```
2236|ionic|north|gasket|13|shipped
1457|gale|south|frame|87|paid
2109|harbor|east|rotor|59|paid
2198|juno|north|valve|42|held
1969|birch|east|gasket|63|pending
2165|ember|east|panel|92|shipped
1518|fulton|east|frame|92|held
1995|dorian|south|pump|33|pending
1803|acme|west|sensor|47|held
1568|harbor|north|frame|96|paid
1463|juno|south|sensor|71|held
1447|birch|east|valve|92|pending
1786|juno|north|gasket|31|pending
2037|gale|east|frame|54|shipped
2205|gale|north|valve|42|held
2081|acme|west|frame|18|held
1713|gale|south|cable|79|paid
1844|harbor|south|frame|43|held
1684|juno|east|pump|43|pending
1834|birch|east|sensor|87|held
1303|ionic|north|cable|10|paid
1728|ember|east|gasket|88|shipped
1762|acme|south|panel|17|paid
2086|cobalt|west|gasket|28|held
1309|ionic|north|gasket|79|pending
1823|gale|west|sensor|89|shipped
1425|juno|south|valve|40|shipped
1947|dorian|east|frame|61|pending
1380|birch|west|sensor|93|pending
2007|cobalt|south|valve|86|paid
1576|juno|west|cable|32|held
1662|fulton|south|rotor|69|held
1939|gale|north|panel|77|shipped
1883|dorian|east|sensor|53|pending
2092|dorian|east|cable|28|held
1888|cobalt|south|pump|20|held
1534|ionic|west|valve|54|shipped
2194|gale|south|rotor|99|pending
1613|birch|east|gasket|44|shipped
1990|cobalt|north|rotor|13|shipped
2163|gale|north|valve|58|pending
2212|acme|west|panel|60|shipped
1905|fulton|east|cable|94|paid
2246|acme|east|sensor|33|shipped
1474|fulton|west|valve|27|pending
1376|harbor|west|rotor|51|paid
1634|birch|east|gasket|91|shipped
1422|ember|east|panel|90|held
2180|fulton|south|gasket|71|paid
2134|dorian|north|rotor|13|paid
1450|cobalt|north|gasket|69|pending
1983|gale|east|panel|14|held
1571|birch|west|panel|10|held
2195|fulton|south|gasket|49|held
1632|harbor|east|frame|57|pending
1741|fulton|south|valve|25|pending
1446|gale|south|cable|19|pending
2065|dorian|north|frame|24|held
2043|gale|east|pump|46|paid
1410|dorian|east|valve|73|held
1455|birch|east|rotor|23|shipped
1699|ember|east|valve|62|shipped
1894|cobalt|south|rotor|41|paid
2014|acme|south|frame|44|held
1355|birch|west|panel|22|paid
1898|birch|east|cable|96|paid
1499|ionic|south|panel|10|paid
1418|gale|north|valve|81|pending
1850|fulton|north|frame|74|paid
2141|gale|east|panel|74|held
1646|acme|west|rotor|42|pending
2112|ionic|north|gasket|68|held
1876|dorian|east|gasket|23|shipped
1624|gale|south|gasket|39|shipped
1461|gale|north|cable|60|pending
2217|ember|north|cable|81|pending
1511|dorian|north|pump|91|shipped
2233|juno|north|panel|23|paid
2239|acme|north|sensor|46|held
2138|fulton|south|gasket|65|pending
1486|cobalt|south|gasket|28|held
2226|ionic|south|frame|57|held
1931|ionic|north|valve|78|pending
2169|birch|south|pump|74|pending
1489|harbor|north|panel|14|paid
2290|dorian|south|rotor|75|held
2097|ionic|north|valve|14|shipped
2034|ember|east|gasket|13|paid
1548|gale|south|valve|47|paid
1770|ionic|south|valve|24|held
1415|ember|east|pump|61|held
1696|acme|east|valve|30|shipped
1698|birch|east|valve|67|shipped
1837|acme|west|gasket|91|pending
1385|gale|east|valve|31|shipped
1766|juno|south|valve|86|held
1396|harbor|north|pump|88|shipped
1315|ionic|east|pump|32|pending
1706|gale|south|pump|54|paid
1775|ember|east|frame|36|shipped
1769|ionic|north|sensor|61|pending
1746|fulton|west|frame|82|held
1506|gale|north|sensor|25|held
1675|ember|west|panel|54|held
2125|acme|north|gasket|81|pending
2293|cobalt|east|valve|38|shipped
2253|ember|north|gasket|85|shipped
1938|gale|south|cable|61|held
1669|acme|east|panel|17|shipped
1866|birch|south|gasket|52|held
2256|cobalt|north|valve|16|held
1606|harbor|west|frame|61|shipped
2154|ionic|south|gasket|60|pending
2265|gale|south|panel|20|held
1818|dorian|north|valve|47|held
1952|ionic|west|valve|48|pending
1554|fulton|east|rotor|41|paid
1857|ionic|south|valve|10|held
1925|harbor|south|panel|15|paid
1661|fulton|north|frame|83|paid
1889|birch|east|cable|22|pending
1679|ember|east|gasket|67|held
1650|ember|west|sensor|67|paid
2156|birch|east|sensor|26|shipped
2031|fulton|north|gasket|41|paid
1479|fulton|north|rotor|23|paid
1779|juno|west|cable|90|paid
1859|dorian|east|rotor|14|shipped
1586|ionic|south|panel|90|shipped
1430|acme|east|frame|26|pending
2048|acme|north|pump|82|shipped
1435|ember|east|cable|32|pending
2076|dorian|south|pump|50|pending
1619|fulton|west|valve|59|paid
1441|ionic|south|frame|35|held
2019|juno|south|frame|27|pending
1370|gale|north|panel|94|held
1639|harbor|north|cable|36|shipped
1793|harbor|south|frame|58|shipped
1830|harbor|south|cable|26|pending
2148|cobalt|south|panel|22|pending
1645|juno|north|sensor|90|shipped
2211|acme|east|gasket|91|pending
1351|birch|north|pump|46|pending
1916|cobalt|south|sensor|35|held
1959|gale|north|panel|46|pending
1809|juno|south|valve|23|paid
2104|ionic|west|sensor|11|shipped
2052|ember|east|cable|73|paid
1558|dorian|east|cable|10|shipped
1360|ember|north|sensor|37|held
2026|gale|south|panel|84|pending
1814|acme|south|frame|73|paid
1735|gale|north|rotor|90|pending
1347|ionic|west|valve|45|shipped
1326|ionic|north|sensor|25|pending
1657|harbor|south|cable|40|shipped
1643|juno|west|cable|15|paid
1984|birch|north|pump|30|pending
1670|ionic|east|frame|74|held
2280|birch|west|cable|18|shipped
1567|cobalt|north|cable|46|pending
1872|birch|south|valve|64|pending
1895|acme|north|valve|71|shipped
2283|gale|west|rotor|21|shipped
1363|fulton|west|gasket|19|shipped
2315|fulton|east|frame|60|pending
1406|ionic|west|rotor|50|paid
2278|dorian|east|rotor|19|pending
1540|ember|west|sensor|79|shipped
1817|juno|south|frame|99|shipped
1721|ionic|north|cable|81|held
2110|juno|west|cable|27|pending
1756|ionic|west|valve|37|held
1542|acme|north|rotor|75|pending
1336|ionic|north|gasket|23|held
1749|fulton|south|rotor|90|pending
1535|fulton|west|cable|13|shipped
1522|ember|west|cable|35|pending
1405|ember|east|cable|71|pending
1853|ionic|west|cable|32|shipped
1976|dorian|west|pump|77|held
2066|ember|east|frame|56|paid
1921|ionic|east|sensor|13|paid
1946|gale|north|sensor|49|pending
2284|cobalt|west|cable|25|shipped
1469|ember|south|cable|21|shipped
2264|ionic|west|gasket|86|shipped
2119|ionic|north|sensor|76|shipped
1582|juno|north|rotor|86|paid
1826|ember|west|sensor|73|shipped
1797|fulton|south|valve|90|pending
2175|ember|north|frame|32|shipped
1740|cobalt|north|sensor|85|paid
1717|dorian|south|panel|85|held
1562|fulton|north|valve|17|pending
2251|dorian|west|sensor|39|held
2277|cobalt|north|gasket|48|pending
2298|fulton|south|valve|38|shipped
1483|juno|east|rotor|60|held
2099|harbor|north|rotor|11|paid
1685|juno|south|sensor|61|held
2128|juno|north|valve|73|shipped
1629|ionic|south|pump|96|paid
1846|acme|east|gasket|56|paid
1529|harbor|east|pump|36|pending
2309|harbor|east|gasket|25|paid
1329|ionic|south|frame|77|pending
1811|birch|east|valve|79|held
1911|ember|east|panel|30|paid
2193|ember|north|pump|35|held
1604|gale|north|sensor|45|held
1391|harbor|north|valve|26|pending
1493|gale|east|panel|64|shipped
1528|cobalt|south|valve|70|pending
1759|ionic|north|panel|82|held
1297|ionic|north|gasket|90|pending
1388|ionic|west|frame|74|pending
2118|ember|east|sensor|14|paid
2100|ionic|north|rotor|28|held
2140|gale|south|sensor|37|held
1593|birch|north|valve|93|pending
2071|ionic|south|gasket|48|pending
2028|birch|south|valve|39|pending
1637|acme|south|gasket|87|shipped
1453|gale|east|sensor|33|shipped
1964|juno|west|frame|34|paid
2132|harbor|south|cable|32|shipped
2059|cobalt|north|cable|70|paid
2002|ember|west|valve|20|held
1399|ionic|south|sensor|93|shipped
1299|ionic|west|gasket|88|pending
2088|ionic|north|rotor|70|held
1598|gale|north|pump|40|paid
1321|ionic|north|panel|19|shipped
2304|gale|south|pump|55|pending
1957|dorian|north|pump|50|held
2091|ember|south|sensor|30|held
2268|harbor|north|frame|82|paid
1674|gale|east|cable|62|held
1340|dorian|north|frame|82|paid
1689|acme|north|panel|57|held
2186|ionic|east|pump|26|held
1958|cobalt|south|cable|46|held
1705|ember|south|gasket|59|shipped
2273|juno|north|valve|53|shipped
2261|acme|east|cable|79|pending
1763|birch|west|sensor|45|held
2222|ionic|north|frame|73|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 61, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "restock", "args": {"item": "gasket", "qty": 90}},
  {"tool": "restock", "args": {"item": "gasket", "qty": 79}},
  {"tool": "cancel_order", "args": {"order_id": 1326}},
  {"tool": "cancel_order", "args": {"order_id": 1336}},
  {"tool": "restock", "args": {"item": "frame", "qty": 74}},
  {"tool": "cancel_order", "args": {"order_id": 1769}},
  {"tool": "restock", "args": {"item": "valve", "qty": 78}}
]

correctagentic.tools.deploy-v1conf 99% · 716ms · $0.001 · 542 tok

question

You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "health_check", "args": {"service": "search"}}
]

correctagentic.tools.ledger-v1conf 99% · 2.7s · $0.001 · 828 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: $182
- alpha: $128
- bravo: $230

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $163 from "bravo" to "alpha"
2. pay $460 from "bravo" to "alpha"
3. pay $264 from "alpha" to "bravo"
4. pay $438 from "delta" to "alpha"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 163}},
  {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 393}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 460}},
  {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 264}},
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 256}},
  {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 438}}
]

wrongagentic.tools.triage-v1conf 78% · 2.9s · $0.000 · 232 tok

question

You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "records missing after import" (category: data, priority 3)
2. "uploads failing intermittently" (category: infra, priority 9)
3. "records missing after import" (category: data, priority 3)
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": "records missing after import", "priority": 3}},
  {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 9}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-2"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}}
]

correctagentic.tools.deploy-v1conf 99% · 268ms · $0.001 · 376 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: reports
- auth-svc: billing, search
- reports: (none)
- search: reports

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "health_check", "args": {"service": "auth-svc"}}
]

correctagentic.tools.deploy-v1conf 95% · 994ms · $0.000 · 104 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: (none)
- billing: auth-svc
- notifier: billing, reports

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "health_check", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "reports"}},
  {"tool": "deploy", "args": {"service": "notifier"}}
]

correctagentic.tools.ledger-v1conf 99% · 520ms · $0.001 · 542 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: $209
- tango: $367
- lima: $517

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $315 from "tango" to "echo"
2. pay $113 from "echo" to "tango"
3. pay $284 from "lima" to "echo"
4. pay $426 from "lima" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 315}},
  {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 113}},
  {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 284}},
  {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 193}},
  {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 426}}
]

correctagentic.tools.triage-v1conf 98% · 3.3s · $0.000 · 241 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 → okafor
- payments → silva
- data → haddad

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 7)
2. "refund double-charged" (category: payments, priority 6)
3. "export file corrupted" (category: data, priority 3)
4. "refund double-charged" (category: payments, priority 6)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 7}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}},
  {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 6}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}},
  {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 3}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}},
  {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 6}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}}
]

correctagentic.tools.context-load-v1conf 99% · 949ms · $0.002 · 1319 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 (168 records, format: id|customer|region|item|qty|status):
```
1449|ember|south|cable|78|pending
1444|ember|south|pump|71|paid
1997|fulton|east|sensor|29|paid
1704|gale|east|frame|77|held
1633|gale|east|sensor|68|pending
1688|cobalt|north|rotor|69|held
1735|ionic|north|cable|34|pending
1545|juno|east|valve|29|held
1994|ionic|south|rotor|69|held
1844|dorian|west|rotor|29|held
1420|ember|south|cable|52|pending
1818|juno|west|gasket|60|held
1701|cobalt|north|cable|18|paid
1492|harbor|south|panel|84|paid
1772|ionic|east|sensor|93|held
1665|fulton|east|sensor|12|pending
2058|gale|north|frame|18|shipped
1966|ionic|east|valve|36|held
1456|ember|north|pump|56|pending
1542|gale|north|panel|84|shipped
1574|cobalt|north|sensor|43|held
1851|harbor|west|valve|80|shipped
1617|ember|west|pump|38|shipped
1754|dorian|east|cable|92|pending
2071|gale|north|panel|56|pending
1413|ember|south|panel|87|held
1626|juno|west|rotor|51|paid
1460|ember|south|pump|98|shipped
1748|juno|west|rotor|89|held
1829|dorian|south|sensor|38|pending
1537|harbor|west|sensor|92|pending
1972|birch|north|sensor|64|pending
1791|dorian|east|frame|90|shipped
1710|fulton|east|frame|10|held
1764|birch|north|panel|39|shipped
1723|acme|west|cable|55|paid
1654|ionic|east|valve|49|pending
1824|gale|east|cable|58|pending
1682|juno|north|pump|64|held
1700|cobalt|west|cable|59|shipped
1479|gale|north|cable|66|pending
2075|acme|east|cable|98|paid
1496|juno|west|frame|17|pending
1569|cobalt|south|cable|60|pending
1640|gale|west|pump|38|shipped
1893|ionic|west|pump|88|paid
1502|acme|south|frame|47|pending
1924|juno|south|cable|55|held
1949|gale|south|sensor|35|shipped
1886|juno|east|gasket|36|paid
2023|harbor|west|pump|12|held
1740|ember|north|cable|50|paid
1841|birch|west|gasket|78|shipped
1597|juno|east|sensor|10|shipped
1590|gale|south|valve|55|pending
1856|fulton|east|frame|25|held
1964|ember|north|rotor|65|pending
1646|juno|south|frame|23|paid
1960|acme|south|gasket|61|pending
1786|dorian|south|pump|91|held
1509|dorian|north|rotor|86|shipped
1611|gale|west|sensor|59|held
2051|harbor|east|pump|57|pending
1686|gale|south|gasket|15|shipped
2038|acme|north|panel|94|held
1979|dorian|west|valve|14|pending
1578|harbor|north|frame|23|paid
2082|cobalt|south|valve|22|shipped
1556|juno|south|valve|17|held
1944|acme|north|frame|37|paid
1641|acme|south|cable|66|paid
1476|ionic|south|gasket|78|held
1987|birch|south|sensor|21|pending
1716|juno|west|valve|75|shipped
1863|acme|east|gasket|89|pending
2000|acme|west|pump|33|paid
1726|harbor|south|sensor|45|paid
2083|juno|north|panel|78|shipped
1639|ionic|west|valve|78|held
1807|cobalt|south|gasket|71|shipped
1499|fulton|west|pump|85|paid
1552|fulton|west|cable|79|shipped
1643|dorian|north|valve|15|shipped
1689|gale|south|valve|18|shipped
1404|ember|south|frame|97|paid
1747|acme|north|panel|74|held
1584|juno|west|panel|21|held
2008|birch|east|frame|31|pending
1951|dorian|east|rotor|34|pending
1891|juno|east|valve|12|pending
1527|gale|west|frame|88|shipped
2043|dorian|north|panel|57|held
1920|cobalt|east|sensor|52|paid
2044|fulton|north|gasket|21|paid
1524|harbor|south|panel|72|shipped
1469|juno|west|sensor|62|pending
2031|fulton|west|gasket|13|paid
1608|acme|south|valve|33|shipped
2009|ionic|north|panel|67|pending
1534|dorian|north|frame|35|paid
1410|ember|north|sensor|70|pending
1938|cobalt|north|cable|80|held
1837|fulton|east|valve|97|shipped
1911|birch|north|pump|30|shipped
1808|fulton|south|valve|48|pending
1913|fulton|east|frame|16|paid
1781|harbor|east|frame|68|pending
1563|harbor|south|panel|32|held
1693|ember|south|cable|94|held
1408|ember|south|valve|60|pending
1430|ember|south|gasket|24|paid
1768|birch|north|sensor|57|paid
1713|cobalt|south|sensor|62|pending
2024|birch|south|gasket|76|shipped
1899|fulton|north|gasket|41|pending
1883|gale|west|rotor|12|shipped
1467|dorian|north|gasket|20|paid
1521|ember|west|sensor|94|pending
2014|gale|north|rotor|54|paid
1868|ember|north|gasket|24|held
1784|fulton|west|gasket|23|held
1652|ember|south|sensor|73|shipped
1491|ember|south|frame|11|pending
1832|ionic|north|gasket|70|pending
1825|acme|north|cable|96|paid
1955|fulton|south|valve|31|held
1758|dorian|east|pump|84|shipped
2065|ember|north|frame|56|paid
1604|juno|west|panel|46|pending
1442|ember|west|valve|82|pending
1728|ionic|east|gasket|85|paid
1778|acme|south|gasket|32|shipped
1398|ember|east|valve|75|pending
1658|acme|north|valve|45|shipped
1875|birch|west|frame|18|paid
1427|ember|west|frame|23|pending
1580|ember|north|frame|35|shipped
1669|dorian|north|pump|79|held
1676|juno|east|rotor|91|held
1813|fulton|north|panel|60|pending
1694|harbor|north|valve|10|held
1816|ionic|west|sensor|11|pending
2021|harbor|west|rotor|82|pending
1986|birch|north|valve|89|held
1776|acme|east|frame|35|paid
1802|dorian|east|cable|78|paid
1691|fulton|north|rotor|87|pending
1621|gale|west|sensor|65|paid
1484|ionic|south|pump|94|shipped
2007|juno|east|valve|10|paid
1901|acme|east|gasket|10|held
1931|juno|west|panel|53|pending
2028|juno|east|valve|36|shipped
1907|ionic|west|valve|59|held
1435|ember|south|panel|96|pending
1996|birch|west|panel|22|shipped
1530|harbor|east|sensor|97|held
1631|ionic|east|rotor|39|shipped
1882|birch|north|panel|24|pending
1797|harbor|north|sensor|33|shipped
1632|ionic|west|cable|59|paid
1756|juno|south|valve|56|held
1766|dorian|west|cable|46|shipped
1977|juno|west|pump|82|paid
1468|acme|south|rotor|47|shipped
1515|cobalt|west|gasket|92|shipped
1393|ember|south|cable|37|pending
1666|juno|east|rotor|21|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 63, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "cancel_order", "args": {"order_id": 1393}},
  {"tool": "cancel_order", "args": {"order_id": 1408}},
  {"tool": "cancel_order", "args": {"order_id": 1420}},
  {"tool": "restock", "args": {"item": "panel", "qty": 96}},
  {"tool": "restock", "args": {"item": "cable", "qty": 78}},
  {"tool": "cancel_order", "args": {"order_id": 1491}}
]

wrongagentic.tools.ledger-v1conf 93% · 1.8s · $0.000 · 187 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: $290
- echo: $622
- kilo: $772

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $458 from "kilo" to "echo"
2. pay $560 from "oscar" to "echo"
3. pay $490 from "oscar" to "kilo"
4. pay $538 from "oscar" to "kilo"
5. pay $396 from "kilo" 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": "kilo", "to": "echo", "amount": 458}},
  {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 970}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "echo", "amount": 560}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 490}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 538}},
  {"tool": "transfer", "args": {"from": "kilo", "to": "oscar", "amount": 396}}
]

correctagentic.tools.context-load-v1anchorconf 99% · 675ms · $0.007 · 4817 tok

model answer:

[
  {"tool": "restock", "args": {"item": "gasket", "qty": 60}},
  {"tool": "cancel_order", "args": {"order_id": 1368}},
  {"tool": "cancel_order", "args": {"order_id": 1384}},
  {"tool": "restock", "args": {"item": "frame", "qty": 58}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 75}},
  {"tool": "cancel_order", "args": {"order_id": 1682}}
]

correctagentic.tools.triage-v1conf 97% · 920ms · $0.000 · 233 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → chen
- infra → novak
- payments → rivera

INCIDENTS:
1. "cannot reset password" (category: auth, priority 3)
2. "API latency spikes" (category: infra, priority 4)
3. "API latency spikes" (category: infra, priority 4)
4. "cannot reset password" (category: auth, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}},
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 4}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}},
  {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}}
]

correctagentic.tools.context-load-v1conf 99% · 878ms · $0.003 · 1437 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 (223 records, format: id|customer|region|item|qty|status):
```
1598|gale|west|valve|69|held
1378|gale|west|pump|25|pending
2015|fulton|north|gasket|43|pending
1500|fulton|east|rotor|63|held
1350|gale|west|panel|44|shipped
1581|juno|west|rotor|12|pending
1431|ionic|west|valve|95|pending
1647|birch|east|cable|13|pending
1460|ember|west|sensor|91|paid
2010|birch|south|gasket|81|shipped
1218|cobalt|south|valve|75|pending
1856|gale|east|rotor|96|pending
2033|acme|west|gasket|14|pending
1439|gale|south|pump|24|shipped
1200|cobalt|west|frame|79|pending
1921|dorian|south|valve|10|pending
1233|cobalt|east|rotor|71|pending
1392|birch|south|frame|77|held
1911|birch|north|rotor|92|held
1379|birch|north|gasket|19|pending
1824|acme|south|rotor|24|held
1481|juno|north|pump|95|pending
1604|fulton|south|sensor|64|pending
1940|dorian|south|frame|25|held
1522|acme|west|pump|53|held
1374|birch|west|frame|25|held
1831|ember|south|rotor|24|held
1629|juno|west|rotor|42|paid
1839|gale|west|valve|82|shipped
1616|dorian|south|valve|79|pending
1750|gale|west|frame|77|paid
1582|dorian|south|rotor|94|paid
1303|cobalt|north|sensor|18|held
1292|juno|west|valve|92|shipped
1675|cobalt|north|frame|79|pending
1262|juno|north|panel|42|pending
1398|fulton|south|valve|34|paid
1534|dorian|east|cable|86|pending
1577|birch|north|rotor|86|pending
1916|fulton|west|sensor|32|pending
1849|fulton|west|panel|91|shipped
1508|gale|north|frame|56|pending
1771|cobalt|south|sensor|53|paid
1524|birch|north|valve|62|held
1387|ember|east|rotor|63|pending
1683|harbor|east|cable|35|shipped
1417|birch|south|rotor|10|paid
1743|gale|west|sensor|77|pending
1753|cobalt|south|valve|89|pending
1787|fulton|north|cable|87|held
1269|fulton|west|sensor|28|paid
1652|cobalt|south|rotor|85|shipped
1906|cobalt|south|valve|57|paid
1860|fulton|north|cable|78|held
1515|ember|west|gasket|38|paid
1588|birch|east|sensor|90|shipped
1346|gale|west|frame|83|held
1347|birch|north|valve|75|paid
1784|ionic|west|frame|43|pending
1662|ember|east|gasket|81|pending
1421|juno|east|cable|26|held
1561|acme|south|frame|26|shipped
1924|ember|east|pump|17|shipped
1371|dorian|east|gasket|87|held
1900|cobalt|south|gasket|67|paid
1409|fulton|south|sensor|50|held
1413|harbor|west|panel|83|pending
1810|harbor|south|rotor|87|held
1767|ionic|south|frame|38|held
1935|cobalt|west|panel|74|paid
1602|acme|north|panel|48|held
1876|cobalt|west|rotor|95|shipped
1712|cobalt|north|pump|33|pending
1246|dorian|east|cable|66|held
1499|acme|west|gasket|82|shipped
1886|gale|north|pump|35|pending
2022|ember|west|valve|75|paid
1610|ember|north|cable|90|held
1955|ember|north|panel|65|held
1882|juno|east|gasket|58|paid
2031|dorian|south|pump|55|held
1213|cobalt|east|valve|23|pending
1999|birch|north|cable|86|paid
1239|cobalt|south|frame|85|pending
1411|cobalt|south|cable|23|pending
1248|juno|east|panel|14|shipped
1468|acme|west|gasket|63|shipped
1795|acme|north|rotor|52|held
1726|gale|north|valve|37|pending
1490|gale|east|frame|47|held
1816|dorian|north|panel|85|paid
1319|ember|north|rotor|61|pending
1621|cobalt|south|gasket|26|held
1601|juno|west|valve|80|paid
1735|ember|west|rotor|83|paid
1962|ionic|south|pump|45|pending
1932|birch|north|gasket|15|paid
1473|ember|west|pump|71|shipped
1760|cobalt|west|valve|15|pending
1207|cobalt|east|pump|67|shipped
1777|cobalt|south|frame|97|pending
1846|gale|east|gasket|93|shipped
1359|juno|south|sensor|77|paid
1628|fulton|west|rotor|60|shipped
1527|acme|west|frame|63|paid
1880|birch|north|frame|21|pending
1867|gale|south|pump|86|paid
1551|fulton|west|panel|36|pending
1403|birch|south|cable|34|pending
1869|fulton|south|gasket|23|held
1890|ember|south|valve|72|paid
2025|fulton|west|valve|73|shipped
1995|ember|east|cable|32|paid
1580|dorian|east|cable|97|held
1972|birch|north|sensor|30|held
1465|cobalt|south|panel|71|held
1556|ionic|north|pump|77|pending
1385|cobalt|west|panel|84|paid
1793|birch|east|frame|11|paid
1701|birch|west|pump|61|shipped
2034|ember|west|cable|59|paid
1626|acme|west|pump|27|paid
1895|cobalt|west|valve|91|paid
1959|ember|north|valve|19|shipped
1965|birch|east|rotor|60|paid
1560|harbor|east|cable|83|pending
1874|juno|north|frame|72|held
1445|fulton|west|sensor|97|paid
1315|gale|north|valve|74|shipped
1983|harbor|south|rotor|50|paid
1450|ionic|east|sensor|89|pending
1739|acme|west|cable|28|shipped
1832|birch|north|sensor|78|pending
1451|ember|east|pump|79|paid
1463|gale|west|rotor|40|paid
1334|birch|west|pump|51|paid
1181|cobalt|east|pump|21|pending
1620|birch|west|valve|18|paid
1324|acme|north|rotor|65|pending
1575|harbor|east|sensor|35|held
1310|acme|south|rotor|13|shipped
2002|acme|north|gasket|45|paid
1639|cobalt|east|frame|62|pending
1192|cobalt|east|valve|39|held
1674|ember|east|cable|54|held
1480|harbor|south|gasket|87|pending
1667|cobalt|north|sensor|62|held
1548|ember|south|rotor|61|held
1258|cobalt|west|sensor|15|paid
1198|cobalt|east|pump|29|pending
1541|ember|north|rotor|45|held
1275|ember|north|valve|16|shipped
1571|dorian|east|pump|54|pending
1428|juno|west|panel|61|held
1223|cobalt|east|cable|73|pending
1564|birch|north|gasket|83|shipped
1978|ember|west|frame|81|paid
1521|juno|west|gasket|83|shipped
1437|dorian|south|cable|70|shipped
1339|ionic|east|frame|58|pending
1365|harbor|east|panel|10|shipped
1254|gale|west|cable|57|pending
1903|cobalt|west|sensor|40|pending
1608|cobalt|south|sensor|38|held
1803|harbor|south|rotor|49|shipped
1297|gale|east|frame|23|held
1501|cobalt|north|panel|85|shipped
1705|ionic|west|gasket|46|held
1241|cobalt|east|pump|74|held
1719|fulton|north|frame|57|held
1822|birch|north|cable|84|held
1948|ionic|west|rotor|14|held
1287|ember|east|rotor|94|pending
2027|birch|west|panel|39|held
1927|gale|east|cable|29|held
1264|ember|east|frame|48|pending
1485|ionic|west|pump|13|pending
1355|dorian|south|sensor|99|paid
1591|acme|west|sensor|82|shipped
1896|birch|east|cable|69|paid
1737|acme|west|sensor|62|pending
1226|cobalt|east|panel|54|paid
1850|dorian|east|frame|53|pending
1988|dorian|west|rotor|44|held
1942|ionic|south|valve|61|paid
1188|cobalt|west|valve|92|pending
1286|ember|east|frame|37|shipped
1587|gale|west|sensor|81|paid
1730|cobalt|south|rotor|87|paid
1497|cobalt|west|pump|52|pending
1843|birch|east|pump|95|paid
1641|birch|west|panel|99|held
1731|harbor|south|panel|15|paid
1961|birch|west|gasket|73|held
1698|gale|north|valve|55|shipped
1274|dorian|south|frame|42|held
1634|acme|east|valve|26|shipped
1453|ember|north|valve|80|pending
1282|acme|north|sensor|35|shipped
1306|fulton|east|panel|41|pending
1325|cobalt|east|panel|36|paid
1691|harbor|south|frame|35|paid
2004|acme|north|panel|47|held
1455|fulton|north|gasket|86|paid
1797|harbor|south|frame|93|pending
1909|fulton|north|cable|25|held
1851|fulton|south|valve|13|shipped
1742|gale|west|gasket|18|pending
1689|juno|north|frame|29|held
1219|cobalt|east|sensor|51|paid
1327|cobalt|west|sensor|60|pending
1569|ionic|east|gasket|90|pending
1681|acme|north|panel|35|paid
1764|harbor|east|rotor|18|held
1224|cobalt|west|valve|95|pending
1633|cobalt|west|pump|48|paid
1655|birch|north|frame|38|pending
1444|dorian|east|frame|27|pending
1331|fulton|north|panel|83|held
1714|cobalt|east|gasket|28|shipped
1702|harbor|west|valve|28|paid
1441|juno|north|panel|22|held
1309|cobalt|north|panel|99|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" 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": "cancel_order", "args": {"order_id": 1181}},
  {"tool": "cancel_order", "args": {"order_id": 1198}},
  {"tool": "cancel_order", "args": {"order_id": 1213}},
  {"tool": "restock", "args": {"item": "cable", "qty": 73}},
  {"tool": "restock", "args": {"item": "rotor", "qty": 71}},
  {"tool": "restock", "args": {"item": "frame", "qty": 62}}
]

correctagentic.tools.deploy-v1conf 99% · 529ms · $0.001 · 610 tok

question

You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "gateway"}},
  {"tool": "deploy", "args": {"service": "billing"}},
  {"tool": "health_check", "args": {"service": "billing"}},
  {"tool": "deploy", "args": {"service": "search"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}}
]

correctagentic.tools.ledger-v1conf 99% · 389ms · $0.001 · 394 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: $501
- tango: $308
- bravo: $809

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $101 from "tango" to "oscar"
2. pay $508 from "oscar" to "bravo"
3. pay $192 from "bravo" to "oscar"
4. pay $180 from "bravo" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

[
  {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 101}},
  {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 508}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "oscar", "amount": 192}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 180}}
]

wrongagentic.tools.triage-v1conf 85% · 891ms · $0.000 · 159 tok

question

You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → tanaka
- payments → dubois
- infra → okafor

INCIDENTS:
1. "export file corrupted" (category: data, priority 2)
2. "invoice total wrong" (category: payments, priority 5)
3. "API latency spikes" (category: infra, priority 7)
4. "export file corrupted" (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": "export file corrupted", "priority": 2}},
  {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}},
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 7}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-1", "resolution": "duplicate of TCK-1"}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]

correctagentic.tools.triage-v1anchorconf 98% · 10.0s · $0.001 · 260 tok

model answer:

[
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
  {"tool": "escalate", "args": {"ticket_id": "TCK-1"}},
  {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}},
  {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}},
  {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}},
  {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}},
  {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}},
  {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}}
]

correctagentic.tools.deploy-v1anchorconf 99% · 1.2s · $0.000 · 102 tok

model answer:

[
  {"tool": "deploy", "args": {"service": "notifier"}},
  {"tool": "deploy", "args": {"service": "auth-svc"}},
  {"tool": "deploy", "args": {"service": "gateway"}},
  {"tool": "health_check", "args": {"service": "gateway"}},
  {"tool": "deploy", "args": {"service": "reports"}}
]

correctagentic.tools.ledger-v1anchorconf 99% · 1.5s · $0.001 · 905 tok

model answer:

[
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}},
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}},
  {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}},
  {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}},
  {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}},
  {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}},
  {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}}
]

code 27/30 correct

TimeoutError: The operation was aborted due to timeoutcode.trace.nested-v1conf — · — · — · — tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        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: (none extracted)

correctcode.trace.js-v1conf 100% · 760ms · $0.000 · 281 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11];
const out = arr
  .map(n => n * 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: 60

correctcode.trace.nested-v1conf 92% · 736ms · $0.001 · 689 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 123

correctcode.trace.python-v1conf 99% · 748ms · $0.001 · 895 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 1
while total + v <= 112:
    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: 90

correctcode.trace.nested-v1conf 95% · 10.0s · $0.001 · 508 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 140

correctcode.trace.js-v1conf 100% · 620ms · $0.001 · 398 tok

question

What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 75

correctcode.trace.python-v1conf 99% · 889ms · $0.000 · 349 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 6
while total + v <= 70:
    if v % 5 != 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: 63

correctcode.trace.js-v1conf 100% · 654ms · $0.000 · 341 tok

question

What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17];
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: 72

correctcode.trace.nested-v1conf 98% · 702ms · $0.003 · 2304 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 177

correctcode.trace.python-v1conf 98% · 743ms · $0.002 · 1387 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 3
while total + v <= 92:
    if v % 5 != 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: 79

correctcode.trace.nested-v1conf 97% · 825ms · $0.004 · 3632 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 276

wrongcode.trace.js-v1conf 97% · 3.3s · $0.000 · 13 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [2, 3, 4, 5, 6, 7];
const out = arr
  .map(n => n * 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: 105

correctcode.trace.python-v1conf 99% · 1.1s · $0.001 · 585 tok

question

What does this Python program print?

```python
total = 0
v = 3
while total + v <= 80:
    if v % 4 != 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: 57

correctcode.trace.js-v1conf 99% · 751ms · $0.001 · 469 tok

question

What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
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: 150

correctcode.trace.nested-v1conf 98% · 559ms · $0.002 · 1352 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 116

correctcode.trace.python-v1conf 99% · 808ms · $0.001 · 898 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 4
while total + v <= 102:
    if v % 3 != 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: 94

correctcode.trace.js-v1conf 100% · 1.2s · $0.000 · 98 tok

question

What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 56

correctcode.trace.nested-v1conf 95% · 1.2s · $0.001 · 736 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, 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: 198

correctcode.trace.nested-v1conf 95% · 793ms · $0.002 · 1406 tok

question

Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 7):
        if j == 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: 303

correctcode.trace.python-v1conf 99% · 1.1s · $0.000 · 262 tok

question

Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 3
while total + v <= 51:
    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: 47

correctcode.trace.js-v1conf 100% · 813ms · $0.001 · 469 tok

question

What does this JavaScript program log?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 210

correctcode.trace.python-v1conf 99% · 715ms · $0.001 · 492 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 10
while total + v <= 92:
    if v % 6 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 57

correctcode.trace.js-v1conf 100% · 584ms · $0.000 · 114 tok

question

Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 90

wrongcode.trace.python-v1conf 99% · 668ms · $0.001 · 423 tok

question

Trace the following Python code and give its exact output.

```python
total = 0
v = 7
while total + v <= 107:
    if v % 4 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 87

correctcode.trace.nested-v1conf 98% · 884ms · $0.002 · 1926 tok

question

Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 83

correctcode.trace.js-v1conf 100% · 1.3s · $0.001 · 517 tok

question

What does this JavaScript program log?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 510

correctcode.trace.nested-v1anchorconf 99% · 1.1s · $0.003 · 2812 tok

model answer: 283

correctcode.trace.python-v1anchorconf 100% · 922ms · $0.002 · 1223 tok

model answer: 0

correctcode.trace.js-v1anchorconf 100% · 767ms · $0.000 · 350 tok

model answer: 63

correctcode.trace.python-v1anchorconf 99% · 696ms · $0.000 · 302 tok

model answer: 40

instruction following 29/30 correct

correctif.constraints.stack-v1conf 99% · 129ms · $0.001 · 911 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "zephyr" and the last word must be "basalt".
3. Use the word "lumen" 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: zephyr drifts over the sea, lumen shimmering on waves, lumen glowing in depths, lumen fading near basalt

correctif.constraints.stack-v1conf 100% · 191ms · $0.001 · 493 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "flint" and the last word must be "prism".
3. Use the word "nova" 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 traveler crossed endless dunes, chasing nova dreams while nova winds whispered, and nova stars guided his weary soul toward distant prism

correctif.constraints.stack-v1conf 99% · 611ms · $0.001 · 669 tok

question

Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "nova" and the last word must be "echo".
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: nova ancient machine hums softly, basalt gears turn, basalt pistons pump, basalt memories echo

correctif.format.acronym-v1conf 99% · 921ms · $0.000 · 110 tok

question

Take the first letter of each of these words, in order: comet, zephyr, cedar, echo, 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: CZCEE

correctif.format.repeat-v1conf 100% · 2.5s · $0.000 · 17 tok

question

Write the word "falcon" in lowercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: falcon_falcon_falcon_falcon

correctif.format.acronym-v1conf 100% · 446ms · $0.000 · 297 tok

question

Take the third letter of each of these words, in order: tundra, orbit, basalt, comet, falcon, 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: NBSMLB

correctif.constraints.stack-v1conf 100% · 771ms · $0.002 · 1995 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "comet" and the last word must be "lumen".
3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: comet cold winter mornings gleam like a prism through a prism of soft pale light lumen

correctif.format.repeat-v1conf 100% · 2.5s · $0.000 · 153 tok

question

Write the word "basalt" 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: BASALT_BASALT_BASALT

correctif.constraints.stack-v1conf 100% · 628ms · $0.002 · 1579 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "zephyr" and the last word must be "basalt".
3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

zephyr carried travelers across endless dunes, ember glowing softly, ember ember guiding weary feet toward distant ancient basalt

correctif.format.acronym-v1conf 99% · 978ms · $0.000 · 71 tok

question

Take the second letter of each of these words, in order: lumen, tundra, ember, echo, nova, 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: UUMCOR

correctif.format.repeat-v1conf 100% · 678ms · $0.000 · 101 tok

question

Write the word "basalt" 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: BASALT_BASALT_BASALT

correctif.format.repeat-v1conf 100% · 117ms · $0.000 · 145 tok

question

Write the word "falcon" in lowercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: falcon_falcon_falcon_falcon_falcon_falcon

correctif.format.repeat-v1conf 100% · 6.6s · $0.000 · 135 tok

question

Write the word "zephyr" in lowercase form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: zephyr-zephyr-zephyr-zephyr-zephyr-zephyr

correctif.format.acronym-v1conf 100% · 628ms · $0.000 · 156 tok

question

Take the second letter of each of these words, in order: zephyr, drift, lumen, 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: ERUR

correctif.constraints.stack-v1conf 100% · 737ms · $0.006 · 4567 tok

question

Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "zephyr" and the last word must be "lumen".
3. Use the word "tundra" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

zephyr drifts across the tundra, mirroring the frozen silence of the city's midnight tundra, as neon reflections dance toward a distant lumen

correctif.format.acronym-v1conf 100% · 1.4s · $0.000 · 332 tok

question

Take the third letter of each of these words, in order: falcon, orbit, ember, basalt, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: LBBSI

correctif.constraints.stack-v1conf 100% · 638ms · $0.002 · 1845 tok

question

Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "ember" and the last word must be "lumen".
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: ember travels across vast quartz deserts beneath quartz stars toward distant ancient glowing soft lumen

correctif.constraints.stack-v1conf 88% · 1.1s · $0.001 · 1022 tok

question

Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "ember" and the last word must be "orbit".
3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

ember tides whisper across blue waves, carrying cedar stories of distant shores where cedar ships once sailed beneath starlit skies above in orbit

correctif.format.acronym-v1conf 100% · 749ms · $0.000 · 71 tok

question

Take the first letter of each of these words, in order: orbit, basalt, comet, prism, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: OBCPC

correctif.format.repeat-v1conf 100% · 2.2s · $0.000 · 27 tok

question

Write the word "zephyr" in uppercase form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ZEPHYR-ZEPHYR-ZEPHYR-ZEPHYR

correctif.format.acronym-v1conf 98% · 2.0s · $0.000 · 56 tok

question

Take the third letter of each of these words, in order: basalt, falcon, echo, nova, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: SLHVD

correctif.format.repeat-v1conf 100% · 655ms · $0.000 · 161 tok

question

Write the word "nova" 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: nova-nova-nova-nova-nova-nova-nova

correctif.format.acronym-v1conf 100% · 925ms · $0.000 · 134 tok

question

Take the first letter of each of these words, in order: tundra, quartz, cedar, zephyr, ember, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: TQCZEF

correctif.constraints.stack-v1conf 99% · 647ms · $0.001 · 813 tok

question

Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "falcon" and the last word must be "drift".
3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

falcon watches winter morning as cedar branches hold frost, cedar shadows stretch across snow, and cedar smoke curls before clouds drift

correctif.format.repeat-v1conf 100% · 2.6s · $0.000 · 26 tok

question

Write the word "falcon" 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: falcon-falcon-falcon-falcon-falcon-falcon-falcon-falcon

correctif.format.acronym-v1conf 100% · 793ms · $0.000 · 76 tok

question

Take the first letter of each of these words, in order: zephyr, cedar, prism, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: ZCPB

correctif.format.repeat-v1anchorconf 100% · 957ms · $0.000 · 26 tok

model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO

correctif.format.repeat-v1anchorconf 100% · 716ms · $0.000 · 258 tok

model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR

correctif.format.acronym-v1anchorconf 100% · 2.6s · $0.000 · 26 tok

model answer: ZDFQ

wrongif.constraints.stack-v1anchorconf 88% · 954ms · $0.000 · 43 tok

model answer: drift through nocturnal streets where lumen signs glow above lumen alleys in lumen silence orbit

knowledge 30/30 correct

correctknowledge.fr.factbank-v2conf 99% · 117ms · $0.000 · 125 tok

question

Identify 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 100% · 2.2s · $0.000 · 15 tok

question

Name 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 99% · 906ms · $0.000 · 12 tok

question

Name the capital of Australia.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 890ms · $0.000 · 15 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% · 922ms · $0.000 · 13 tok

question

Name the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Gabriel García Márquez

correctknowledge.fr.factbank-v2conf 99% · 550ms · $0.000 · 81 tok

question

What is the capital of Kazakhstan?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Astana

correctknowledge.fr.factbank-v2conf 100% · 738ms · $0.000 · 53 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 100% · 1.8s · $0.000 · 42 tok

question

Identify the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Potassium

correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 12 tok

question

Name the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Potassium

correctknowledge.fr.factbank-v2conf 100% · 913ms · $0.000 · 12 tok

question

What is the Australian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Canberra

correctknowledge.fr.factbank-v2conf 100% · 957ms · $0.000 · 48 tok

question

Name the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ankara

correctknowledge.fr.factbank-v2conf 100% · 2.3s · $0.000 · 12 tok

question

What is 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% · 1.2s · $0.000 · 131 tok

question

Name 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% · 3.0s · $0.000 · 124 tok

question

Identify the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mikhail Bulgakov

correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.000 · 11 tok

question

What is 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 99% · 874ms · $0.000 · 60 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% · 845ms · $0.000 · 12 tok

question

Name the capital of Switzerland.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Bern

correctknowledge.fr.factbank-v2conf 100% · 872ms · $0.000 · 49 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% · 505ms · $0.000 · 14 tok

question

What is the writer of the novel "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mikhail Bulgakov

correctknowledge.fr.factbank-v2conf 99% · 1.3s · $0.000 · 13 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 95% · 1.5s · $0.000 · 15 tok

question

Identify the capital of Myanmar.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Naypyidaw

correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.000 · 44 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-v2conf 100% · 1.2s · $0.000 · 12 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% · 1.0s · $0.000 · 34 tok

question

Identify 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% · 724ms · $0.000 · 36 tok

question

Identify the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Antimony

correctknowledge.fr.factbank-v2conf 100% · 1.6s · $0.000 · 14 tok

question

Identify 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-v2anchorconf 100% · 925ms · $0.000 · 109 tok

model answer: Tungsten

correctknowledge.fr.factbank-v2anchorconf 100% · 1.3s · $0.000 · 12 tok

model answer: Mercury

correctknowledge.fr.factbank-v2anchorconf 100% · 1.7s · $0.000 · 11 tok

model answer: Lead

correctknowledge.fr.factbank-v2anchorconf 100% · 766ms · $0.000 · 58 tok

model answer: Antimony

math 26/30 correct

correctmath.counterfactual.base-v1conf 99% · 123ms · $0.001 · 540 tok

question

Work strictly in base 11. Multiply the base-11 numbers 19 and 24. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 433

TimeoutError: The operation was aborted due to timeoutmath.arith.chain-v2conf — · — · — · — tok

question

Work out the exact value of this expression.

(((88 × 65 − 718) × 3 + 9929) − 16 × 77) × 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: (none extracted)

correctmath.counterfactual.base-v1conf 99% · 393ms · $0.001 · 768 tok

question

Work strictly in base 13. Add the base-13 numbers 1222 and B39. 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: 205B

correctmath.chained.pipeline-v1conf 99% · 813ms · $0.000 · 161 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 49 × 81.
Step 2: Q = P × 4 − 306.
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: 3894

correctmath.percent.chain-v2conf 88% · 1.7s · $0.000 · 97 tok

question

An inventory starts at 14000 units. A rival firm shipped 162 unrelated parcels the same week. In the first month the inventory grows by 42%. Each pallet weighs about 152 grams more when wet. The next month it shrinks by 13%, and the month after it grows by 31%. 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: 22657.24

correctmath.arith.chain-v2conf 99% · 610ms · $0.001 · 560 tok

question

Work out the exact value of this expression.

(((38 × 35 − 453) × 9 + 6173) − 99 × 47) × 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: 65891

correctmath.algebra.system-v2conf 100% · 295ms · $0.001 · 381 tok

question

Solve the system, then answer the derived question.

6x + 3y = 60
7x − 7y = -308

What is the value of 2x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -88

correctmath.chained.pipeline-v1conf 99% · 640ms · $0.000 · 82 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 58 × 47.
Step 2: Q = P × 6 − 779.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 3117

correctmath.percent.chain-v2conf 95% · 362ms · $0.000 · 336 tok

question

An inventory starts at 64000 units. Each pallet weighs about 44 grams more when wet. In the first month the inventory grows by 30%. The warehouse was painted 168 years ago. The next month it shrinks by 34%, and the month after it grows by 37%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 75229.44

correctmath.algebra.system-v2conf 100% · 1.2s · $0.001 · 850 tok

question

Solve the system, then answer the derived question.

6x + 4y = -164
8x − 5y = 50

What is the value of 6x − 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: 96

correctmath.arith.chain-v2conf 99% · 2.0s · $0.000 · 248 tok

question

Evaluate the expression below and give the result.

(((42 × 90 − 253) × 5 + 3767) − 79 × 98) × 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: 81960

correctmath.chained.pipeline-v1conf 100% · 499ms · $0.000 · 100 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 59 × 18.
Step 2: Q = P × 5 − 417.
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: 818

correctmath.counterfactual.base-v1conf 99% · 866ms · $0.001 · 536 tok

question

Work strictly in base 11. Multiply the base-11 numbers 15 and 47. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 682

correctmath.percent.chain-v2conf 95% · 485ms · $0.000 · 210 tok

question

An inventory starts at 98000 units. The warehouse was painted 11 years ago. In the first month the inventory grows by 5%. Each pallet weighs about 8 grams more when wet. The next month it shrinks by 38%, 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: 74005.68

wrongmath.algebra.system-v2conf 95% · 1.6s · $0.000 · 12 tok

question

Solve the system, then answer the derived question.

9x + 5y = 37
6x − 5y = 83

What is the value of 4x − 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: -10

correctmath.arith.chain-v2conf 99% · 694ms · $0.000 · 87 tok

question

Calculate the following. Show your reasoning, then answer.

(((65 × 55 − 411) × 6 + 1085) − 14 × 99) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 56049

correctmath.chained.pipeline-v1conf 99% · 3.2s · $0.000 · 118 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 83 × 75.
Step 2: Q = P × 7 − 716.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 4763

correctmath.counterfactual.base-v1conf 92% · 1.0s · $0.000 · 158 tok

question

Work strictly in base 7. Multiply the base-7 numbers 112 and 54. 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: 6411

wrongmath.percent.chain-v2conf 99% · 876ms · $0.001 · 677 tok

question

An inventory starts at 98000 units. The delivery van has a 115-liter fuel tank. In the first month the inventory grows by 44%. A rival firm shipped 21 unrelated parcels the same week. The next month it shrinks by 34%, and the month after it grows by 7%. 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: 99659.94

wrongmath.algebra.system-v2conf 95% · 826ms · $0.000 · 12 tok

question

Solve the system, then answer the derived question.

3x + 8y = -279
3x − 2y = 111

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: -208

correctmath.arith.chain-v2conf 99% · 795ms · $0.000 · 84 tok

question

Evaluate the expression below and give the result.

(((78 × 65 − 264) × 4 + 1976) − 55 × 29) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 58815

correctmath.chained.pipeline-v1conf 99% · 1.5s · $0.000 · 100 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 30 × 58.
Step 2: Q = P × 8 − 547.
Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 2677

correctmath.counterfactual.base-v1conf 100% · 1.1s · $0.001 · 382 tok

question

Work strictly in base 13. Add the base-13 numbers 125A and 100A. 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: 2267

correctmath.percent.chain-v2conf 97% · 1.1s · $0.001 · 482 tok

question

An inventory starts at 38000 units. Each pallet weighs about 82 grams more when wet. In the first month the inventory grows by 23%. The company was founded 23 kilometers from the port. The next month it shrinks by 24%, and the month after it grows by 44%. 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: 51152.26

correctmath.algebra.system-v2conf 100% · 832ms · $0.000 · 232 tok

question

Solve the system, then answer the derived question.

5x + 2y = -123
8x − 5y = -164

What is the value of 2x − 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: -34

correctmath.algebra.system-v2anchorconf 100% · 168ms · $0.000 · 201 tok

model answer: 87

correctmath.chained.pipeline-v1conf 99% · 659ms · $0.000 · 229 tok

question

Solve the following linked steps; each step uses the previous result.

Step 1: P = 26 × 74.
Step 2: Q = P × 4 − 416.
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: 1215

correctmath.counterfactual.base-v1anchorconf 100% · 838ms · $0.001 · 864 tok

model answer: 11236

correctmath.percent.chain-v2anchorconf 95% · 630ms · $0.001 · 726 tok

model answer: 61896.52

correctmath.arith.chain-v2anchorconf 99% · 1.9s · $0.000 · 82 tok

model answer: 108153

multilingual 28/30 correct

correctmultilingual.wordnum-v1conf 100% · 402ms · $0.000 · 56 tok

question

A number is written in French: « sept cent quatre-vingt-onze ». Another is written in Spanish: « trescientos doce ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 479

wrongmultilingual.wordnum-v1conf 99% · 987ms · $0.000 · 111 tok

question

A number is written in French: « deux cent deux ». Another is written in Spanish: « seiscientos ochenta y siete ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctmultilingual.numword-v2conf 100% · 355ms · $0.000 · 34 tok

question

Compute 122 + 337, 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 cinquante-neuf

correctmultilingual.numword-v2conf 99% · 733ms · $0.000 · 83 tok

question

Compute 163 + 49, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: doscientos doce

correctmultilingual.wordnum-v1conf 99% · 932ms · $0.000 · 13 tok

question

A number is written in French: « huit cent vingt-six ». Another is written in Spanish: « ciento treinta 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: 962

correctmultilingual.numword-v2conf 99% · 2.0s · $0.000 · 14 tok

question

Compute 372 + 332, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: sept cent quatre

correctmultilingual.numword-v2conf 99% · 880ms · $0.000 · 133 tok

question

Compute 258 + 344, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: seiscientos dos

correctmultilingual.numword-v2anchorconf 99% · 108ms · $0.000 · 175 tok

model answer: huit cent soixante-dix-neuf

correctmultilingual.wordnum-v1conf 100% · 849ms · $0.000 · 56 tok

question

A number is written in French: « six cent soixante-six ». Another is written in Spanish: « quinientos cincuenta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1220

correctmultilingual.numword-v2conf 99% · 612ms · $0.000 · 110 tok

question

Compute 223 + 439, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: seiscientos sesenta y dos

correctmultilingual.wordnum-v1conf 100% · 640ms · $0.000 · 105 tok

question

A number is written in French: « huit cent quatre-vingt-dix-huit ». Another is written in Spanish: « seiscientos 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: 237

correctmultilingual.numword-v2conf 100% · 878ms · $0.000 · 133 tok

question

Compute 137 + 207, 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 cuarenta y cuatro

correctmultilingual.wordnum-v1conf 100% · 765ms · $0.000 · 57 tok

question

A number is written in French: « neuf cent quatre-vingt-onze ». Another is written in Spanish: « cuatrocientos sesenta 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: 522

correctmultilingual.wordnum-v1conf 100% · 919ms · $0.000 · 51 tok

question

A number is written in French: « deux cent quatre ». Another is written in Spanish: « ciento 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: 96

correctmultilingual.numword-v2conf 100% · 895ms · $0.000 · 119 tok

question

Compute 91 + 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: trescientos trece

correctmultilingual.numword-v2conf 99% · 980ms · $0.000 · 174 tok

question

Compute 244 + 347, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: cinq cent quatre-vingt-onze

correctmultilingual.wordnum-v1conf 100% · 740ms · $0.000 · 70 tok

question

A number is written in French: « soixante-quinze ». Another is written in Spanish: « seiscientos cuarenta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 716

correctmultilingual.numword-v2conf 99% · 127ms · $0.000 · 111 tok

question

Compute 286 + 278, 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 sesenta y cuatro

correctmultilingual.wordnum-v1conf 100% · 390ms · $0.000 · 133 tok

question

A number is written in French: « sept cent quatre-vingt-onze ». Another is written in Spanish: « quinientos veintiséis ». 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: 1317

correctmultilingual.numword-v2conf 98% · 860ms · $0.000 · 16 tok

question

Compute 179 + 396, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: cinq cent soixante-quinze

correctmultilingual.wordnum-v1conf 99% · 841ms · $0.000 · 53 tok

question

A number is written in French: « quatre cent quinze ». Another is written in Spanish: « seiscientos noventa y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1110

correctmultilingual.numword-v2conf 100% · 785ms · $0.000 · 34 tok

question

Compute 170 + 406, 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 seis

correctmultilingual.wordnum-v1conf 99% · 834ms · $0.000 · 156 tok

question

A number is written in French: « cinq cent quatre-vingt-douze ». Another is written in Spanish: « setecientos treinta y cuatro ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 1326

correctmultilingual.numword-v2conf 95% · 1.0s · $0.000 · 16 tok

question

Compute 244 + 434, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: seiscientos setenta y ocho

correctmultilingual.numword-v2conf 100% · 389ms · $0.000 · 154 tok

question

Compute 72 + 376, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: cuatrocientos cuarenta y ocho

correctmultilingual.wordnum-v1conf 100% · 685ms · $0.000 · 55 tok

question

A number is written in French: « huit cent soixante et un ». Another is written in Spanish: « ochocientos ochenta y cinco ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: -24

wrongmultilingual.wordnum-v1conf 95% · 942ms · $0.000 · 13 tok

question

A number is written in French: « cent quatre-vingt-sept ». Another is written in Spanish: « ochocientos cincuenta ». 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: 737

correctmultilingual.wordnum-v1anchorconf 100% · 523ms · $0.000 · 55 tok

model answer: 150

correctmultilingual.numword-v2anchorconf 99% · 1.2s · $0.000 · 26 tok

model answer: seiscientos ocho

correctmultilingual.wordnum-v1anchorconf 100% · 364ms · $0.000 · 68 tok

model answer: 762

reasoning 28/30 correct

correctreasoning.deduction.order-v2conf 99% · 129ms · $0.001 · 424 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Mona is heavier than Chen. Hana is heavier than Farah. Hana is heavier than Mona. Jonas is faster than everyone here, but Jonas is not being ranked. Farah is heavier than Mona. Dara is heavier than Liam. Liam is heavier than Hana. Kira is heavier than Dara. Kira is heavier than Mona. Farah is heavier than Chen. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Dara

correctreasoning.deduction.order-v2conf 99% · 132ms · $0.001 · 424 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Chen is taller than Liam. Kira is taller than Chen. Quinn is taller than Ola. Chen is taller than Quinn. Hana is older than everyone here, but Hana is not being ranked. Liam is taller than Ola. Liam is taller than Ines. Liam is taller than Ola. Ines is taller than Quinn. Nadir is taller than Kira. 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 100% · 131ms · $0.000 · 144 tok

question

Four people stand in a queue (number 1 is the front). Farah is directly ahead of Rosa. Liam is directly ahead of Ola. Ola is number 2 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Ola

correctreasoning.deduction.position-v1conf 100% · 729ms · $0.000 · 172 tok

question

Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Sami. Sami is directly ahead of Kira. Nadir is directly ahead of Rosa. Kira 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: Rosa

correctreasoning.deduction.order-v2conf 99% · 511ms · $0.001 · 713 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Rosa is taller than Priya. Nadir is taller than Tessa. Tessa is taller than Chen. Chen is taller than Rosa. Nadir is taller than Emil. Sami is older than everyone here, but Sami is not being ranked. Emil is taller than Alice. Alice is taller than Tessa. Alice is taller than Rosa. Tessa is taller than Priya. 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: Alice

correctreasoning.deduction.order-v2conf 99% · 884ms · $0.001 · 609 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Emil is faster than Kira. Liam is older than everyone here, but Liam is not being ranked. Rosa is faster than Bruno. Tessa is faster than Chen. Chen is faster than Kira. Alice is faster than Rosa. Chen is faster than Emil. Bruno is faster than Tessa. Alice is faster than Chen. Rosa is faster than Kira. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Tessa

correctreasoning.deduction.position-v1conf 100% · 1.0s · $0.000 · 123 tok

question

Four people stand in a queue (number 1 is the front). Tessa is number 2 in the queue. Chen is directly ahead of Tessa. Hana is directly ahead of Liam. 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: Tessa

correctreasoning.deduction.order-v2conf 99% · 1.1s · $0.001 · 517 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Liam is older than everyone here, but Liam is not being ranked. Farah is taller than Ola. Ines is taller than Dara. Jonas is taller than Tessa. Ines is taller than Ola. Farah is taller than Jonas. Dara is taller than Bruno. Tessa is taller than Ola. Bruno is taller than Jonas. Farah is taller than Ines. 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: Ines

correctreasoning.deduction.position-v1conf 95% · 2.3s · $0.000 · 12 tok

question

Four people stand in a queue (number 1 is the front). Mona is number 2 in the queue. Chen is directly ahead of Liam. Hana 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: Liam

correctreasoning.deduction.position-v1conf 100% · 137ms · $0.000 · 155 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Kira. Goran is number 1 in the queue. Kira is directly ahead of Priya. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Hana

correctreasoning.deduction.order-v2conf 95% · 179ms · $0.001 · 672 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Alice. Liam is older than Ines. Ines is older than Priya. Ola is faster than everyone here, but Ola is not being ranked. Nadir is older than Bruno. Nadir is older than Alice. Emil is older than Priya. Priya is older than Nadir. Nadir is older than Alice. Ines is older than Emil. 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: Ines

correctreasoning.deduction.position-v1conf 100% · 1.3s · $0.000 · 119 tok

question

Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Jonas. Jonas is directly ahead of Bruno. Emil is number 4 in the queue. Bruno is directly ahead of Emil. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Bruno

correctreasoning.deduction.order-v2conf 99% · 751ms · $0.001 · 559 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Liam. Rosa is taller than Dara. Alice is taller than Ines. Alice is taller than Ines. Quinn is taller than Rosa. Emil is taller than Rosa. Alice is taller than Quinn. Dara is taller than Ines. Jonas is older than everyone here, but Jonas is not being ranked. Emil is taller than Alice. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Alice

correctreasoning.deduction.position-v1conf 100% · 648ms · $0.000 · 167 tok

question

Four people stand in a queue (number 1 is the front). Sami is number 2 in the queue. Farah is directly ahead of Ines. Bruno is directly ahead of Sami. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Farah

wrongreasoning.deduction.order-v2conf 90% · 2.9s · $0.000 · 12 tok

question

Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Mona. Dara is faster than Bruno. Mona is faster than Dara. Jonas is faster than Ola. Mona is faster than Bruno. Kira is faster than Bruno. Kira is faster than Jonas. Rosa is older than everyone here, but Rosa is not being ranked. Jonas is faster than Dara. Nadir is faster than Kira. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Jonas

correctreasoning.deduction.position-v1conf 100% · 129ms · $0.000 · 178 tok

question

Four people stand in a queue (number 1 is the front). Alice is directly ahead of Ola. Nadir is number 2 in the queue. Chen is directly ahead of Nadir. 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% · 116ms · $0.000 · 93 tok

question

Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Tessa. Bruno is number 4 in the queue. Tessa is directly ahead of Mona. Mona is directly ahead of Bruno. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Mona

wrongreasoning.deduction.order-v2conf 92% · 1.6s · $0.000 · 11 tok

question

Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Sami. Sami is heavier than Emil. Kira is heavier than Mona. Tessa is heavier than Emil. Kira is heavier than Emil. Tessa is heavier than Kira. Quinn is heavier than Mona. Hana is older than everyone here, but Hana is not being ranked. Emil is heavier than Quinn. Goran is heavier than Tessa. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Sami

correctreasoning.deduction.position-v1conf 100% · 130ms · $0.000 · 130 tok

question

Four people stand in a queue (number 1 is the front). Hana is directly ahead of Rosa. Rosa 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

correctreasoning.deduction.order-v2conf 95% · 674ms · $0.001 · 500 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Jonas is taller than Emil. Liam is taller than Emil. Quinn is taller than Tessa. Emil is taller than Alice. Tessa is taller than Sami. Chen is older than everyone here, but Chen is not being ranked. Quinn is taller than Sami. Liam is taller than Jonas. Jonas is taller than Tessa. Alice is taller than Quinn. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Quinn

correctreasoning.deduction.position-v1conf 99% · 569ms · $0.000 · 126 tok

question

Four people stand in a queue (number 1 is the front). Nadir is number 1 in the queue. Chen is directly ahead of Kira. Kira is directly ahead of Ines. 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: Ines

correctreasoning.deduction.order-v2conf 99% · 591ms · $0.001 · 820 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Ola. Liam is older than Jonas. Ola is older than Dara. Liam is older than Jonas. Quinn is older than Jonas. Dara is older than Mona. Jonas is older than Mona. Dara is older than Liam. Liam is older than Quinn. Sami is taller than everyone here, but Sami is not being ranked. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Dara

correctreasoning.deduction.order-v2conf 99% · 1.3s · $0.001 · 621 tok

question

Seven people are ranked by who is taller (rank 1 = tallest). Ola is taller than Sami. Goran is taller than Ines. Farah is taller than Sami. Sami is taller than Bruno. Bruno is taller than Goran. Bruno is taller than Ines. Ola is taller than Farah. Bruno is taller than Ines. Priya is taller than Ola. Emil is older than everyone here, but Emil is not being ranked. 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: Sami

correctreasoning.deduction.position-v1conf 100% · 298ms · $0.000 · 99 tok

question

Four people stand in a queue (number 1 is the front). Kira is directly ahead of Goran. Goran is directly ahead of Dara. Dara is directly ahead of Priya. Priya is number 4 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Dara

correctreasoning.deduction.order-v2anchorconf 95% · 10.0s · $0.000 · 270 tok

model answer: Quinn

correctreasoning.deduction.order-v2conf 95% · 707ms · $0.001 · 483 tok

question

Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Ines. Liam is older than Emil. Ola is taller than everyone here, but Ola is not being ranked. Emil is older than Mona. Ines is older than Liam. Nadir is older than Kira. Nadir is older than Alice. Ines is older than Alice. Emil is older than Alice. Mona is older than Alice. 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.position-v1conf 100% · 996ms · $0.000 · 54 tok

question

Four people stand in a queue (number 1 is the front). Alice is directly ahead of Priya. Priya is number 2 in the queue. Bruno is directly ahead of Quinn. 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: Priya

correctreasoning.deduction.position-v1anchorconf 99% · 1.3s · $0.000 · 185 tok

model answer: Quinn

correctreasoning.deduction.order-v2anchorconf 95% · 905ms · $0.001 · 377 tok

model answer: Mona

correctreasoning.deduction.position-v1anchorconf 99% · 600ms · $0.000 · 144 tok

model answer: Farah

terminal 26/30 correct

correctterminal.fs.tree-v1conf 99% · 677ms · $0.001 · 1145 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/src`, `/proj/build`):

```
/proj/build/notes.log
/proj/main.cfg
/proj/report.txt
/proj/src/setup.log
/proj/src/util.txt
```

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

```sh
mkdir -p build/src-4
touch build/main-8.cfg
cd src
mkdir -p ../../proj/build-8
cd ../../proj
mkdir -p build-4
cd build/src-4
rm ../../../proj/build/notes.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/main-8.cfg
/proj/main.cfg
/proj/report.txt
/proj/src/setup.log
/proj/src/util.txt

wrongterminal.exit.chain-v1conf 99% · 742ms · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
B
E
exit:1

correctterminal.pipeline.predict-v1conf 99% · 7.4s · $0.000 · 135 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,sales,6,85
bo,sales,54,74
lou,sales,56,86
hal,eng,90,61
fay,eng,115,61
oli,hr,88,72
eli,sales,106,92
kim,hr,81,93
ned,sales,21,62
dev,sales,89,78
max,legal,74,24
jon,sales,96,20
gus,hr,76,44
ivy,eng,118,73
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: max,74

correctterminal.exit.chain-v1conf 95% · 1.1s · $0.000 · 20 tok

question

A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

`notes.txt` contains exactly the words: basil, amber (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
false && echo E || echo F
grep -q basil notes.txt && echo G || echo H
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
D
F
G
exit:1

correctterminal.fs.tree-v1conf 95% · 10.1s · $0.001 · 527 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/src`, `/proj/build`):

```
/proj/assets/index.cfg
/proj/build/notes.md
/proj/build/report.txt
/proj/main.cfg
/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
mkdir -p src-6
cd build
mkdir -p ../../proj/src-6/conf-6
mkdir -p ../../proj/src-6/src-2
cd ../../proj/src-6
rm ../../proj/main.cfg
touch ../../proj/notes-7.txt
cp ../../proj/build/notes.md ../../proj/src/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/assets/index.cfg
/proj/build/notes.md
/proj/build/report.txt
/proj/notes-7.txt
/proj/src/notes.md
/proj/todo.md

correctterminal.pipeline.predict-v1conf 99% · 712ms · $0.001 · 771 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,sales,31,18
max,hr,10,94
cy,ops,76,15
ivy,hr,112,50
bo,eng,83,93
ana,legal,85,62
pam,legal,93,36
fay,legal,39,84
ned,legal,20,87
lou,hr,51,20
gus,hr,9,85
jon,ops,4,58
hal,eng,37,70
kim,legal,44,42
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

gus,9
ivy,112
lou,51

correctterminal.exit.chain-v1conf 99% · 472ms · $0.001 · 483 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
grep -q amber notes.txt && echo A || echo B
grep -q coral notes.txt && echo C || echo D
test -f app.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
C
E
exit:1

correctterminal.fs.tree-v1conf 95% · 681ms · $0.000 · 42 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/conf`):

```
/proj/build/draft.log
/proj/conf/main.cfg
/proj/notes.log
/proj/src/setup.cfg
/proj/todo.log
```

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

```sh
rm build/draft.log
cd src
mv setup.cfg ../../proj/conf/
rm ../../proj/conf/main.cfg
touch ../../proj/build/report-3.log
touch main-7.md
cp ../../proj/build/report-3.log ./
rm ../../proj/build/report-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/conf/setup.cfg
/proj/notes.log
/proj/src/main-7.md
/proj/src/report-3.log
/proj/todo.log

TimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1conf — · — · — · — tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/build`):

```
/proj/build/draft.txt
/proj/build/setup.md
/proj/conf/util.cfg
/proj/report.log
/proj/todo.md
```

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

```sh
cd conf
mkdir -p ../../proj/build/assets-3
cd ../../proj/build/assets-3
mv ../../../proj/conf/util.cfg ../../../proj/
touch ../../../proj/main-7.md
cd ../../../proj/conf
mv ../../proj/build/draft.txt ../../proj/build/todo-9.log
rm ../../proj/report.log
touch main-7.md
cd ../../proj/build
cp ../../proj/conf/main-7.md ./
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: (none extracted)

correctterminal.pipeline.predict-v1conf 95% · 1.9s · $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):

```
pam,hr,82,32
hal,eng,40,60
ned,sales,94,81
fay,legal,60,88
bo,sales,116,40
ivy,legal,119,83
cy,ops,85,14
jon,hr,117,13
eli,sales,31,86
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: hal,eng,40,60

correctterminal.exit.chain-v1conf 99% · 815ms · $0.001 · 350 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
C
F
exit:1

correctterminal.fs.tree-v1conf 99% · 1.2s · $0.001 · 1048 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/conf`):

```
/proj/build/setup.log
/proj/conf/util.txt
/proj/docs/index.txt
/proj/draft.md
/proj/todo.txt
```

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

```sh
mv build/setup.log build/setup-1.md
touch index-3.log
cd conf
rm ../../proj/build/setup-1.md
touch ../../proj/setup-8.md
mkdir -p ../../proj/build-6
cd ../../proj/build-6
touch ../../proj/build/main-8.log
mv ../../proj/todo.txt ../../proj/docs/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/build/main-8.log
/proj/conf/util.txt
/proj/docs/index.txt
/proj/docs/todo.txt
/proj/draft.md
/proj/index-3.log
/proj/setup-8.md

TimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1anchorconf — · — · — · — tok

model answer: (none extracted)

correctterminal.pipeline.predict-v1conf 100% · 716ms · $0.001 · 356 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,legal,119,28
lou,sales,27,55
fay,hr,15,12
ivy,ops,98,19
ana,legal,68,22
eli,hr,120,24
kim,eng,33,66
cy,ops,52,53
hal,eng,107,43
jon,eng,80,12
pam,sales,88,31
dev,ops,116,13
max,legal,75,96
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 78 { 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.exit.chain-v1conf 99% · 643ms · $0.001 · 406 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
E
Z
exit:0

correctterminal.fs.tree-v1conf 97% · 874ms · $0.001 · 1024 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/src`):

```
/proj/assets/report.md
/proj/assets/todo.log
/proj/draft.md
/proj/logs/util.txt
/proj/main.txt
```

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

```sh
rm draft.md
cd assets
touch ../../proj/logs/setup-2.cfg
rm ../../proj/main.txt
cp todo.log ../../proj/logs/
mkdir -p ../../proj/logs/assets-9
rm ../../proj/logs/todo.log
touch ../../proj/src/index-1.md
cd ../../proj
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/assets/report.md
/proj/assets/todo.log
/proj/logs/setup-2.cfg
/proj/logs/util.txt
/proj/src/index-1.md

correctterminal.pipeline.predict-v1conf 92% · 1.5s · $0.000 · 13 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,hr,24,27
eli,sales,53,12
dev,ops,25,88
fay,hr,96,54
lou,hr,6,47
hal,eng,81,54
jon,ops,43,15
oli,hr,89,43
gus,sales,58,89
bo,legal,59,10
max,legal,23,87
ned,sales,51,42
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: hal,81

correctterminal.exit.chain-v1conf 99% · 673ms · $0.000 · 21 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f data.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

wrongterminal.fs.tree-v1conf 99% · 797ms · $0.003 · 2405 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/src`, `/proj/docs`):

```
/proj/docs/todo.log
/proj/main.cfg
/proj/report.txt
/proj/src/draft.log
/proj/src/setup.txt
```

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

```sh
mkdir -p logs/conf-6
rm main.cfg
cd logs
rm ../../proj/docs/todo.log
mkdir -p ../../proj/docs/build-8
touch ../../proj/index-1.cfg
cd conf-6
mkdir -p ../../../proj/docs/assets-8
mv ../../../proj/src/draft.log ../../../proj/src/index-1.md
touch ../../../proj/docs/assets-8/main-1.txt
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

/proj/docs/assets-8/main-1.txt
/proj/index-1.cfg
/proj/report.txt
/proj/src/setup.txt
/proj/src/index-1.md

correctterminal.pipeline.predict-v1conf 99% · 1.5s · $0.001 · 1013 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,hr,102,36
cy,eng,39,41
ned,sales,106,14
ivy,hr,5,77
dev,legal,86,22
max,sales,18,15
bo,legal,107,69
pam,hr,96,51
ana,eng,109,94
fay,ops,30,36
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

max,sales,18,15
ned,sales,106,14

correctterminal.exit.chain-v1conf 99% · 945ms · $0.001 · 351 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
F
Z
exit:0

correctterminal.fs.tree-v1conf 99% · 1.0s · $0.001 · 983 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/logs`):

```
/proj/build/notes.log
/proj/build/todo.txt
/proj/setup.cfg
/proj/src/report.cfg
/proj/util.txt
```

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

```sh
touch logs/util-5.log
mv setup.cfg ./
mv setup.cfg main-3.log
rm src/report.cfg
rm build/notes.log
cp util.txt logs/
cp logs/util-5.log ./
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/todo.txt
/proj/logs/util-5.log
/proj/logs/util.txt
/proj/main-3.log
/proj/util-5.log
/proj/util.txt

correctterminal.pipeline.predict-v1conf 95% · 1.3s · $0.000 · 11 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,eng,94,67
ned,sales,63,12
jon,sales,118,49
cy,sales,37,20
fay,legal,47,63
pam,eng,93,93
hal,legal,97,44
oli,eng,80,44
eli,hr,104,44
bo,hr,83,50
ivy,legal,6,52
kim,eng,20,20
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' 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: 0

correctterminal.exit.chain-v1conf 99% · 841ms · $0.001 · 477 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

A
C
F
H
exit:1

correctterminal.pipeline.predict-v1conf 100% · 1.0s · $0.001 · 649 tok

question

A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,legal,8,70
oli,sales,31,80
hal,hr,99,50
ned,ops,48,71
bo,sales,16,23
pam,hr,32,88
kim,sales,95,94
lou,sales,78,91
max,hr,66,41
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 42 { 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: 2

correctterminal.exit.chain-v1conf 98% · 728ms · $0.001 · 403 tok

question

A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer:

B
D
F
Z
exit:0

correctterminal.fs.tree-v1conf 95% · 3.7s · $0.001 · 800 tok

question

A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/src`, `/proj/conf`):

```
/proj/build/index.md
/proj/conf/main.md
/proj/conf/todo.txt
/proj/draft.md
/proj/report.txt
```

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

```sh
mkdir -p build/logs-8
mkdir -p build/docs-6
mkdir -p src/src-5
cd build/docs-6
mkdir -p ../../../proj/build/logs-8/build-9
touch ../../../proj/build/logs-8/util-3.log
rm ../../../proj/build/index.md
rm ../../../proj/draft.md
cd .
```

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/logs-8/util-3.log
/proj/conf/main.md
/proj/conf/todo.txt
/proj/report.txt

correctterminal.pipeline.predict-v1anchorconf 99% · 1.5s · $0.000 · 32 tok

model answer:

eli,eng,60,55
dev,eng,81,95
cy,eng,115,45

correctterminal.exit.chain-v1anchorconf 99% · 908ms · $0.001 · 562 tok

model answer:

B
D
E
G
exit:1

correctterminal.pipeline.predict-v1anchorconf 99% · 1.1s · $0.001 · 341 tok

model answer: 1

vision ocr 28/30 correct

correctvision.ocr.table-read-v1conf 99% · 787ms · $0.000 · 12 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 62

correctvision.ocr.table-read-v1conf 98% · 626ms · $0.000 · 12 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 76

correctvision.ocr.code-hunt-v1conf 99% · 1.7s · $0.000 · 125 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: TN4MME

correctvision.ocr.code-hunt-v1conf 99% · 3.2s · $0.000 · 113 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: CCMNMHNE

correctvision.ocr.table-read-v1conf 97% · 1.2s · $0.000 · 12 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 95

correctvision.ocr.code-hunt-v1conf 99% · 2.9s · $0.000 · 114 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: FH77EACJ

correctvision.ocr.table-read-v1conf 100% · 2.7s · $0.001 · 155 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 37

correctvision.ocr.code-hunt-v1conf 99% · 2.1s · $0.000 · 107 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: M4VXMM3V

correctvision.ocr.code-hunt-v1conf 97% · 2.7s · $0.000 · 116 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: PA9CNA

correctvision.ocr.table-read-v1conf 100% · 773ms · $0.000 · 152 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 55

correctvision.ocr.table-read-v1conf 99% · 1.6s · $0.000 · 129 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 26

correctvision.ocr.code-hunt-v1conf 97% · 2.4s · $0.000 · 106 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: DNTETET

correctvision.ocr.table-read-v1conf 99% · 4.1s · $0.000 · 132 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 64

correctvision.ocr.code-hunt-v1conf 90% · 3.0s · $0.000 · 148 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: Y4YVAM

correctvision.ocr.table-read-v1conf 100% · 2.7s · $0.000 · 127 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 43

wrongvision.ocr.code-hunt-v1conf 85% · 2.5s · $0.001 · 272 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 4XCHYUET

correctvision.ocr.code-hunt-v1conf 95% · 141ms · $0.000 · 109 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: WYVDWDND

correctvision.ocr.table-read-v1conf 99% · 981ms · $0.000 · 12 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 90

correctvision.ocr.code-hunt-v1conf 99% · 129ms · $0.000 · 107 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: PAREKN

correctvision.ocr.code-hunt-v1anchorconf 97% · 1.1s · $0.000 · 162 tok

model answer: YH9E4AWP

correctvision.ocr.table-read-v1conf 100% · 932ms · $0.000 · 133 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 47

correctvision.ocr.code-hunt-v1conf 95% · 3.3s · $0.000 · 120 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: C37AYYUM

correctvision.ocr.table-read-v1conf 100% · 754ms · $0.000 · 162 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 87

correctvision.ocr.table-read-v1conf 99% · 3.1s · $0.000 · 13 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the SUM of QTY over the rows whose GRADE is "A". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 99

wrongvision.ocr.code-hunt-v1conf 70% · 2.1s · $0.001 · 324 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in ORANGE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: N7TM17

correctvision.ocr.table-read-v1conf 100% · 875ms · $0.000 · 159 tok

question

The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: 68

correctvision.ocr.code-hunt-v1conf 95% · 1.2s · $0.000 · 112 tok

question

The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in PURPLE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>

model answer: WWUJWMHJ

correctvision.ocr.table-read-v1anchorconf 100% · 2.8s · $0.000 · 145 tok

model answer: 15

correctvision.ocr.code-hunt-v1anchorconf 99% · 1.0s · $0.000 · 105 tok

model answer: VX7993D

correctvision.ocr.table-read-v1anchorconf 100% · 4.9s · $0.001 · 126 tok

model answer: 25

Run history

2026-08-05v0.2.0index_fit706
2026-08-05v0.2.0index_fit706
2026-08-05v0.2.0index_fit706
2026-08-05v0.2.0index_fit707
2026-08-05v0.2.0index_fit707
2026-08-05v0.2.0index_fit708
2026-08-05v0.2.0index_fit708
2026-08-05v0.2.0index_fit710
2026-08-05v0.2.0index_fit710
2026-08-05v0.2.0index_fit711
2026-08-05v0.2.0index_fit712
2026-08-05v0.2.0index_fit709
2026-08-05v0.2.0index_fit708
2026-08-05v0.2.0index_fit708
2026-08-05v0.2.0index_fit709
2026-08-05v0.2.0index_fit709
2026-08-05v0.2.0index_fit710
2026-08-05v0.2.0index_fit710
2026-08-05v0.2.0index_fit709
2026-08-05v0.2.0index_fit708