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anthropic/claude-opus-4.7 · anthropic · context 1 000 000 · in $5.00/1M · out $25.00/1M

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804

95% CI [756852] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic899 [807991]
0.8430.980.960.0001.4s$16.82
code873 [751995]
0.7911.000.980.0001.4s$8.75
instruction following719 [583855]
0.6810.820.960.0771.9s$4.96
knowledge730 [557902]
0.5491.001.000.0001.3s$1.26
math833 [677990]
0.7280.980.990.0001.4s$3.91
multilingual821 [659984]
0.7051.000.980.0001.4s$1.84
reasoning844 [695993]
0.7431.000.980.0001.4s$4.58
terminal798 [692904]
0.7651.000.970.0771.4s$8.48
vision ocr717 [548887]
0.5341.000.970.0002.2s$5.37

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 30/30 correct
correctagentic.tools.ledger-v1conf 98% · 1.4s · $0.014 · 420 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $589
- alpha: $589
- delta: $551

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $595 from "alpha" to "delta"
2. pay $403 from "alpha" to "delta"
3. pay $106 from "delta" to "alpha"
4. pay $258 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": "top_up_from_reserve", "args": {"account": "alpha", "amount": 6}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 595}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 403}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 403}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 106}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 258}} ]
correctagentic.tools.triage-v1conf 98% · 1.7s · $0.012 · 332 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 → haddad
- payments → chen
- data → dubois

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 8)
2. "card declined at checkout" (category: payments, priority 7)
3. "card declined at checkout" (category: payments, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.context-load-v1conf 95% · 1.3s · $0.028 · 446 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 (163 records, format: id|customer|region|item|qty|status):
```
1895|cobalt|west|panel|27|pending
1826|harbor|south|sensor|79|pending
1606|dorian|south|frame|61|pending
1717|gale|west|gasket|77|shipped
2045|cobalt|east|frame|73|paid
1996|cobalt|west|valve|70|pending
1734|ember|west|rotor|66|shipped
1549|birch|east|panel|24|paid
1601|ionic|north|panel|27|held
1838|birch|south|panel|66|pending
1643|dorian|west|gasket|13|held
1767|ionic|west|pump|39|pending
1860|cobalt|north|frame|18|shipped
1989|cobalt|east|rotor|34|paid
2040|juno|east|rotor|44|shipped
2051|cobalt|north|gasket|25|paid
1803|juno|east|valve|41|pending
1907|harbor|north|frame|45|held
1820|harbor|west|gasket|65|shipped
1519|cobalt|north|frame|87|paid
1985|ionic|east|frame|35|shipped
1790|gale|south|cable|22|shipped
1689|ember|north|rotor|10|shipped
2027|ember|east|frame|60|paid
1473|cobalt|north|rotor|88|shipped
1773|ionic|south|sensor|12|paid
2003|harbor|west|panel|25|paid
1948|cobalt|west|panel|50|pending
1813|acme|east|pump|56|paid
2068|dorian|south|sensor|28|shipped
2001|harbor|south|valve|90|pending
1520|fulton|west|panel|45|paid
1840|juno|south|cable|59|pending
1498|ember|north|panel|88|pending
1743|juno|north|rotor|23|pending
1590|cobalt|west|gasket|94|pending
1778|cobalt|west|cable|49|paid
1561|gale|north|pump|76|shipped
1685|dorian|south|pump|65|held
2044|ionic|south|sensor|64|shipped
1886|gale|south|valve|35|held
1705|fulton|west|cable|57|paid
1939|fulton|east|cable|38|shipped
1755|fulton|south|gasket|34|pending
1844|ember|west|frame|96|paid
1702|birch|north|frame|27|paid
1566|dorian|east|valve|17|held
2017|birch|east|valve|41|held
1565|harbor|north|rotor|35|held
1916|juno|west|sensor|21|paid
1845|birch|north|gasket|91|shipped
1526|dorian|north|valve|94|paid
1762|acme|west|cable|45|pending
1917|acme|south|rotor|50|paid
1708|birch|east|panel|18|paid
1450|cobalt|north|rotor|69|paid
1524|acme|east|panel|98|pending
1987|ionic|east|frame|87|held
1875|ember|west|rotor|66|shipped
1696|dorian|west|gasket|31|held
1650|birch|west|frame|72|shipped
1735|ionic|west|rotor|14|shipped
1815|acme|east|cable|61|paid
1477|cobalt|east|sensor|77|pending
2014|ionic|west|rotor|86|shipped
1748|cobalt|north|cable|70|paid
1868|fulton|south|sensor|58|shipped
1955|harbor|west|gasket|57|pending
1835|harbor|east|frame|64|held
1871|cobalt|west|rotor|91|paid
1630|ionic|south|cable|95|held
1853|birch|south|cable|28|paid
1557|juno|north|cable|85|pending
1453|cobalt|west|panel|14|pending
1613|juno|north|pump|73|shipped
1497|cobalt|north|pump|73|held
1962|birch|east|rotor|45|paid
1972|ember|west|gasket|90|pending
2048|cobalt|west|frame|27|shipped
1827|juno|north|valve|99|shipped
1451|cobalt|north|sensor|40|pending
1580|harbor|south|cable|88|paid
1454|cobalt|north|gasket|52|shipped
1710|acme|north|pump|24|pending
1596|ember|west|cable|52|held
1570|harbor|east|valve|90|held
1460|cobalt|north|rotor|58|pending
1536|juno|south|sensor|46|held
2037|harbor|west|valve|12|pending
2065|cobalt|south|pump|41|held
1722|ionic|west|sensor|10|paid
1806|juno|north|sensor|50|held
1867|gale|north|valve|11|held
2000|dorian|east|rotor|60|held
1655|fulton|west|rotor|16|paid
1484|cobalt|north|pump|18|pending
1507|dorian|west|cable|14|shipped
1637|acme|west|sensor|35|held
2063|harbor|west|valve|38|held
2032|dorian|east|sensor|56|shipped
1445|cobalt|east|gasket|10|pending
1782|gale|west|rotor|45|pending
1744|acme|north|valve|65|shipped
1738|juno|east|pump|53|paid
1552|dorian|north|panel|27|shipped
1945|birch|north|gasket|56|shipped
1891|ember|east|valve|78|held
1474|cobalt|north|pump|35|pending
1681|acme|north|panel|45|paid
2021|gale|west|pump|59|paid
1884|acme|west|sensor|36|pending
1583|ember|south|frame|64|shipped
1787|gale|east|valve|71|shipped
1527|birch|west|panel|25|pending
1968|harbor|south|sensor|85|held
1881|cobalt|north|frame|63|held
1490|cobalt|west|frame|54|pending
1615|ionic|south|gasket|87|shipped
1723|ember|north|frame|87|pending
1848|cobalt|south|sensor|41|paid
2075|cobalt|north|frame|56|paid
1640|birch|east|frame|96|held
2010|gale|east|panel|71|paid
1829|dorian|west|pump|87|paid
1512|ionic|west|valve|97|shipped
1611|birch|west|panel|19|paid
1482|cobalt|north|pump|73|shipped
1503|ionic|south|frame|98|held
2057|gale|east|valve|27|held
1698|ember|north|pump|39|held
2023|fulton|west|rotor|49|shipped
1805|ionic|west|pump|72|pending
1576|acme|east|valve|63|shipped
1625|ember|south|gasket|83|paid
2002|cobalt|south|gasket|48|held
1554|acme|west|panel|22|held
1924|gale|south|panel|52|paid
1531|cobalt|east|rotor|10|pending
1620|cobalt|east|frame|39|pending
1776|gale|west|rotor|21|pending
1665|cobalt|west|rotor|67|held
1900|harbor|west|sensor|60|paid
1780|harbor|east|panel|89|paid
1658|fulton|north|gasket|56|held
1796|ionic|west|cable|41|shipped
1728|cobalt|south|gasket|13|held
1542|cobalt|south|frame|86|pending
1757|harbor|north|panel|99|paid
1529|ember|north|panel|97|held
1911|ionic|west|sensor|39|held
1747|harbor|north|cable|63|held
1505|gale|west|rotor|79|shipped
1925|birch|south|rotor|52|shipped
1678|harbor|south|cable|37|pending
1932|birch|south|frame|14|paid
1671|fulton|east|pump|81|pending
1857|harbor|east|cable|72|shipped
1870|cobalt|east|pump|48|paid
1673|acme|north|cable|66|pending
1978|birch|east|valve|23|shipped
1467|cobalt|south|frame|17|pending
1697|cobalt|west|cable|30|paid
1441|cobalt|north|valve|44|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "valve", "qty": 44}}, {"tool": "cancel_order", "args": {"order_id": 1451}}, {"tool": "restock", "args": {"item": "rotor", "qty": 58}}, {"tool": "cancel_order", "args": {"order_id": 1474}}, {"tool": "cancel_order", "args": {"order_id": 1484}} ]
correctagentic.tools.deploy-v1conf 95% · 2.0s · $0.008 · 228 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "billing"}} ]
correctagentic.tools.ledger-v1conf 98% · 1.3s · $0.011 · 330 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $612
- alpha: $175
- tango: $194

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $385 from "lima" to "alpha"
2. pay $532 from "alpha" to "lima"
3. pay $144 from "tango" to "alpha"
4. pay $219 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": "lima", "to": "alpha", "amount": 385}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 532}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 144}}, {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 219}} ]
correctagentic.tools.context-load-v1conf 95% · 1.7s · $0.039 · 572 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 (270 records, format: id|customer|region|item|qty|status):
```
1959|dorian|east|cable|44|pending
2429|acme|west|rotor|92|pending
1714|fulton|west|panel|74|held
1991|ember|north|frame|88|paid
1747|juno|south|sensor|60|paid
2031|fulton|west|panel|46|pending
2474|fulton|south|pump|16|pending
2413|acme|north|panel|53|held
1870|acme|west|gasket|79|pending
1822|acme|west|cable|85|paid
1813|juno|north|rotor|92|shipped
1727|juno|east|panel|23|pending
1851|gale|east|pump|98|pending
2042|harbor|north|frame|27|paid
1698|birch|north|rotor|28|held
2115|dorian|north|panel|23|held
2081|fulton|east|gasket|64|held
2396|harbor|south|pump|80|held
2332|cobalt|east|frame|80|paid
1516|dorian|east|pump|37|pending
2400|juno|north|sensor|34|paid
2260|cobalt|west|sensor|46|pending
2555|ionic|south|panel|21|paid
1716|fulton|east|rotor|16|shipped
2536|cobalt|south|valve|93|shipped
1685|harbor|west|pump|48|pending
2200|harbor|west|rotor|74|shipped
2227|juno|south|cable|16|shipped
1743|harbor|east|panel|61|pending
2330|ionic|west|rotor|81|held
1903|acme|east|frame|53|paid
1607|birch|north|valve|86|pending
1601|gale|east|panel|27|shipped
2427|ionic|south|cable|73|held
1533|dorian|north|gasket|25|shipped
2188|gale|west|pump|96|pending
2439|acme|east|pump|57|shipped
1888|fulton|north|frame|61|pending
1550|ember|east|cable|60|shipped
1589|dorian|east|cable|57|held
1772|cobalt|east|cable|30|held
2322|ionic|west|pump|11|held
1809|dorian|west|valve|10|paid
2308|acme|north|frame|72|held
1721|ionic|south|rotor|85|held
2256|acme|south|valve|38|pending
1803|harbor|south|valve|51|held
1561|birch|north|gasket|95|paid
2069|juno|north|panel|42|held
2284|fulton|west|rotor|21|pending
2091|fulton|south|panel|25|pending
2203|dorian|east|valve|42|pending
2452|dorian|south|panel|51|held
2151|ionic|north|frame|84|held
2564|birch|west|cable|34|shipped
1966|juno|east|pump|51|held
2241|birch|west|panel|26|pending
2143|ionic|east|pump|99|shipped
2483|cobalt|west|panel|93|pending
2352|gale|east|cable|21|paid
2156|harbor|south|panel|81|paid
1805|cobalt|south|rotor|92|held
2044|ionic|north|sensor|12|paid
2324|harbor|west|cable|80|shipped
2562|dorian|east|pump|85|paid
1498|dorian|east|frame|12|shipped
2219|juno|west|rotor|11|paid
1505|dorian|north|frame|36|pending
2520|juno|west|frame|33|shipped
1825|birch|north|pump|58|held
2518|ember|south|sensor|74|pending
1894|acme|north|rotor|26|shipped
2394|ember|north|gasket|31|held
2001|acme|north|frame|40|held
1778|harbor|west|pump|11|shipped
1663|juno|south|sensor|77|paid
2126|birch|west|cable|56|shipped
1479|dorian|north|sensor|45|pending
2136|acme|east|panel|53|paid
2303|dorian|north|rotor|51|held
2110|ember|east|gasket|42|held
2374|acme|south|frame|46|shipped
1687|dorian|west|panel|96|paid
2252|harbor|west|sensor|64|held
1785|juno|east|pump|52|pending
2150|gale|east|frame|35|shipped
2360|ember|east|valve|68|pending
2276|harbor|east|frame|44|paid
1485|dorian|east|panel|56|held
1596|juno|north|pump|53|shipped
1877|ionic|south|pump|85|held
1467|dorian|south|frame|20|pending
1592|cobalt|east|panel|12|shipped
1703|dorian|north|cable|49|shipped
2162|birch|west|panel|49|paid
2122|fulton|north|sensor|54|held
2366|cobalt|west|rotor|61|held
1474|dorian|east|panel|58|pending
2075|juno|west|pump|58|shipped
2015|birch|west|frame|34|pending
2316|ember|east|frame|16|paid
2410|fulton|south|sensor|41|held
1632|acme|west|pump|67|paid
2167|cobalt|east|pump|97|paid
1542|gale|west|sensor|57|paid
1828|harbor|west|panel|88|held
1806|dorian|south|rotor|95|held
2222|dorian|south|cable|53|held
1963|juno|west|valve|64|held
1900|dorian|west|valve|29|held
2481|dorian|west|panel|33|pending
1943|gale|west|valve|97|pending
1637|juno|west|valve|87|shipped
1820|gale|east|panel|25|pending
2057|ember|south|pump|46|held
2198|ionic|west|frame|95|paid
1502|dorian|east|valve|36|pending
2312|ember|west|sensor|73|paid
1679|dorian|west|pump|56|pending
1622|ionic|west|cable|83|pending
1702|ember|south|panel|32|held
2153|harbor|north|sensor|67|pending
2561|gale|north|frame|70|pending
1800|cobalt|west|rotor|53|shipped
1643|dorian|north|sensor|26|shipped
1761|ionic|west|rotor|38|paid
1569|ionic|south|panel|79|pending
2531|harbor|east|gasket|68|pending
1884|juno|west|sensor|68|shipped
2540|juno|south|frame|23|held
1668|birch|north|frame|61|pending
1627|harbor|north|cable|46|paid
1925|dorian|north|frame|42|held
1573|fulton|south|frame|81|paid
1937|juno|east|cable|66|shipped
1462|dorian|east|cable|44|pending
2176|acme|south|gasket|79|held
2547|juno|east|pump|12|pending
2464|acme|south|valve|96|shipped
2077|harbor|west|valve|50|paid
1582|birch|east|cable|83|held
1757|acme|north|pump|54|paid
1791|fulton|east|sensor|55|shipped
2006|fulton|east|panel|11|shipped
1494|dorian|west|rotor|40|pending
2504|ember|east|frame|42|shipped
1709|ember|south|panel|61|paid
1537|cobalt|west|frame|25|paid
1793|acme|east|gasket|13|shipped
1618|acme|north|gasket|56|paid
1901|ionic|west|rotor|28|pending
1986|cobalt|west|sensor|95|pending
2181|gale|south|valve|77|shipped
2458|dorian|north|pump|83|paid
2237|juno|east|gasket|80|paid
2193|acme|north|panel|89|paid
2003|harbor|west|sensor|92|pending
1917|fulton|east|pump|89|paid
2278|ember|south|rotor|98|held
2212|dorian|north|sensor|36|paid
1567|dorian|south|panel|60|paid
2495|dorian|north|sensor|98|held
2245|gale|south|frame|85|shipped
1522|dorian|west|pump|71|pending
2286|birch|east|panel|84|held
2510|ionic|south|rotor|26|paid
1675|juno|west|cable|93|shipped
1566|ember|south|frame|23|paid
1581|ember|east|pump|38|pending
1691|birch|east|panel|16|shipped
2565|ionic|south|panel|42|pending
2403|acme|east|rotor|45|paid
2172|acme|west|cable|89|held
1864|harbor|south|sensor|10|shipped
2008|birch|west|valve|91|held
2152|acme|west|rotor|61|paid
2137|dorian|west|gasket|51|shipped
2206|harbor|west|cable|31|paid
2434|birch|south|pump|76|shipped
1509|dorian|east|panel|46|paid
1469|dorian|east|pump|90|held
1975|ember|south|valve|10|pending
1646|ember|north|pump|51|shipped
1752|fulton|west|sensor|37|held
2291|ionic|west|frame|65|pending
1931|gale|west|valve|49|held
2512|birch|west|pump|98|held
2389|harbor|north|rotor|78|paid
2380|fulton|west|frame|97|pending
1626|dorian|south|frame|99|paid
1985|ember|west|pump|20|shipped
2233|fulton|west|rotor|66|pending
2454|dorian|west|pump|22|paid
2438|dorian|east|panel|52|pending
2183|ember|west|cable|65|pending
2385|gale|south|panel|12|held
2498|cobalt|east|valve|99|pending
2054|ionic|east|gasket|61|held
2348|cobalt|east|valve|55|pending
1730|ionic|east|pump|73|pending
2566|cobalt|north|sensor|59|pending
2047|birch|west|sensor|55|paid
1919|dorian|north|valve|54|paid
1996|birch|north|gasket|35|paid
1912|ember|west|pump|27|shipped
1649|gale|south|panel|68|shipped
1835|ember|north|gasket|26|held
2491|birch|north|cable|21|held
1697|cobalt|east|rotor|25|held
2337|cobalt|south|rotor|85|held
1659|juno|south|valve|53|pending
1838|acme|south|rotor|57|paid
2098|gale|south|gasket|80|shipped
1741|fulton|west|pump|53|paid
2270|ember|north|gasket|11|pending
1845|birch|east|frame|76|pending
1491|dorian|east|sensor|85|pending
1812|ember|east|rotor|21|pending
1756|ionic|south|rotor|78|pending
2298|acme|east|panel|13|shipped
2079|harbor|south|frame|46|shipped
1580|dorian|south|valve|91|paid
2441|gale|south|frame|44|held
2359|harbor|east|panel|84|paid
1951|fulton|south|pump|82|shipped
2063|juno|east|rotor|98|paid
2448|acme|south|pump|66|pending
1654|acme|west|frame|65|shipped
2092|birch|west|sensor|89|pending
2344|dorian|north|valve|43|pending
2104|dorian|north|sensor|82|paid
2488|dorian|east|sensor|53|shipped
2423|juno|west|sensor|82|shipped
2024|cobalt|west|panel|57|shipped
2086|dorian|south|gasket|52|held
1981|harbor|north|frame|31|shipped
2468|ionic|north|sensor|49|pending
2372|fulton|west|pump|18|paid
1739|birch|south|rotor|37|paid
2215|juno|east|frame|37|paid
1956|ember|west|valve|59|pending
1849|ionic|south|cable|89|held
1794|acme|north|cable|45|held
2017|birch|east|sensor|39|paid
1556|gale|south|pump|44|shipped
1924|birch|south|frame|69|shipped
1856|juno|east|sensor|78|held
1549|dorian|north|panel|37|pending
2527|birch|north|cable|96|paid
1948|fulton|south|sensor|95|shipped
1906|birch|south|cable|96|pending
1858|dorian|west|cable|98|pending
1969|cobalt|east|cable|10|pending
1823|acme|north|rotor|75|shipped
1750|gale|east|cable|79|held
2037|dorian|east|sensor|43|paid
2295|fulton|south|rotor|17|shipped
2133|fulton|south|frame|94|pending
1614|ember|west|panel|51|paid
2549|ionic|east|cable|13|held
1572|fulton|south|valve|51|held
2111|acme|east|gasket|56|paid
1535|cobalt|south|gasket|63|paid
1737|harbor|east|pump|73|paid
2416|gale|north|pump|11|held
2277|fulton|south|rotor|48|paid
1767|acme|west|frame|92|paid
1673|acme|south|panel|12|held
2264|acme|east|rotor|24|paid
1526|dorian|east|sensor|82|held
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1462}}, {"tool": "restock", "args": {"item": "panel", "qty": 58}}, {"tool": "restock", "args": {"item": "sensor", "qty": 85}}, {"tool": "cancel_order", "args": {"order_id": 1502}}, {"tool": "cancel_order", "args": {"order_id": 1516}}, {"tool": "cancel_order", "args": {"order_id": 1959}}, {"tool": "cancel_order", "args": {"order_id": 2203}}, {"tool": "restock", "args": {"item": "panel", "qty": 52}} ]
correctagentic.tools.triage-v1conf 95% · 1.3s · $0.010 · 266 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 → rivera
- payments → silva
- auth → okafor

INCIDENTS:
1. "API latency spikes" (category: infra, priority 6)
2. "invoice total wrong" (category: payments, priority 7)
3. "API latency spikes" (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": "API latency spikes", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.deploy-v1conf 95% · 6.0s · $0.008 · 224 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}} ]
correctagentic.tools.ledger-v1conf 98% · 1.2s · $0.017 · 534 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: $299
- echo: $166
- alpha: $193

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $265 from "alpha" to "delta"
2. pay $579 from "alpha" to "echo"
3. pay $110 from "delta" to "echo"
4. pay $215 from "alpha" to "delta"
5. pay $109 from "delta" 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": "alpha", "amount": 72}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 265}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 579}}, {"tool": "transfer", "args": {"from": "alpha", "to": "echo", "amount": 579}}, {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 110}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 215}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 215}}, {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 109}} ]
correctagentic.tools.context-load-v1conf 96% · 1.7s · $0.032 · 586 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (174 records, format: id|customer|region|item|qty|status):
```
1294|juno|east|rotor|61|held
1475|fulton|north|valve|20|held
1233|cobalt|west|frame|86|held
1631|dorian|north|cable|92|paid
1108|gale|north|rotor|91|held
1058|gale|north|rotor|74|pending
1408|cobalt|east|valve|29|held
1593|birch|east|frame|22|held
1143|gale|west|rotor|54|held
1316|juno|south|rotor|35|shipped
1580|fulton|west|pump|29|paid
1200|fulton|east|cable|64|held
1170|fulton|south|cable|46|paid
1256|ionic|east|rotor|21|held
1219|harbor|east|sensor|84|paid
1406|cobalt|north|frame|81|held
1183|cobalt|east|valve|75|paid
1486|birch|east|cable|60|pending
1389|dorian|west|pump|94|pending
1201|fulton|west|pump|14|shipped
1413|juno|north|panel|85|held
1110|dorian|east|rotor|97|shipped
1623|birch|north|pump|59|shipped
1646|acme|north|cable|41|pending
1433|harbor|north|pump|58|paid
1573|cobalt|east|rotor|80|pending
1426|dorian|west|cable|36|paid
1681|harbor|west|gasket|42|pending
1297|ionic|east|valve|79|paid
1521|harbor|west|pump|45|shipped
1651|juno|south|valve|17|held
1194|acme|south|gasket|89|held
1484|fulton|north|valve|88|held
1464|birch|north|pump|73|pending
1382|cobalt|west|frame|31|paid
1120|ionic|west|cable|87|held
1592|dorian|east|cable|94|held
1370|ember|south|sensor|23|held
1293|harbor|north|panel|50|shipped
1244|harbor|west|cable|43|pending
1188|ionic|south|frame|14|shipped
1524|ember|west|pump|84|held
1658|fulton|south|sensor|91|paid
1599|acme|north|pump|35|paid
1148|harbor|west|valve|26|paid
1102|gale|west|sensor|14|pending
1161|acme|east|gasket|32|pending
1277|acme|west|rotor|36|pending
1176|gale|north|gasket|20|pending
1571|fulton|west|gasket|47|shipped
1266|birch|north|pump|67|shipped
1545|dorian|north|frame|53|shipped
1088|gale|south|frame|48|pending
1515|harbor|west|pump|50|shipped
1235|ember|south|sensor|34|pending
1712|ionic|west|frame|74|pending
1649|cobalt|east|gasket|16|paid
1264|dorian|east|sensor|71|pending
1551|harbor|west|panel|95|held
1395|fulton|east|panel|88|held
1613|birch|south|gasket|17|shipped
1343|harbor|east|frame|83|paid
1579|harbor|east|gasket|89|held
1538|cobalt|south|frame|50|held
1632|dorian|east|frame|76|shipped
1285|dorian|north|panel|19|shipped
1245|fulton|west|sensor|33|paid
1697|dorian|east|rotor|96|shipped
1317|cobalt|east|gasket|84|paid
1071|gale|north|sensor|59|paid
1166|dorian|east|frame|34|held
1259|juno|north|pump|65|pending
1715|fulton|south|gasket|22|paid
1465|cobalt|west|pump|85|pending
1278|ember|east|sensor|31|shipped
1208|harbor|east|panel|11|paid
1270|birch|north|gasket|99|pending
1499|ember|east|gasket|87|paid
1350|juno|south|frame|79|held
1665|ember|north|frame|52|shipped
1309|fulton|west|pump|37|pending
1213|dorian|south|gasket|35|pending
1237|harbor|east|gasket|73|held
1513|juno|east|rotor|85|shipped
1083|gale|south|frame|88|pending
1322|dorian|west|gasket|96|paid
1360|birch|south|valve|76|pending
1191|juno|north|pump|29|held
1239|harbor|south|panel|84|held
1609|acme|west|cable|15|paid
1708|ember|east|frame|18|shipped
1507|acme|west|pump|93|held
1288|cobalt|north|gasket|43|shipped
1558|cobalt|north|rotor|11|held
1195|cobalt|north|valve|28|shipped
1693|harbor|west|pump|52|pending
1710|ionic|south|rotor|15|pending
1114|fulton|north|sensor|10|held
1300|fulton|south|panel|25|paid
1224|ember|north|panel|87|held
1703|fulton|east|sensor|34|shipped
1347|juno|west|pump|36|shipped
1532|fulton|west|pump|88|shipped
1655|cobalt|east|pump|24|paid
1101|gale|north|sensor|75|pending
1427|harbor|south|valve|64|held
1094|gale|north|valve|31|pending
1093|gale|north|sensor|21|held
1366|fulton|west|frame|65|held
1154|ionic|west|sensor|13|pending
1657|juno|north|panel|66|pending
1337|juno|south|gasket|39|pending
1098|gale|north|cable|38|held
1151|juno|east|cable|33|held
1625|dorian|west|sensor|95|held
1556|cobalt|west|gasket|27|held
1477|dorian|east|cable|83|pending
1422|ember|south|panel|96|paid
1503|harbor|east|panel|81|paid
1504|harbor|north|pump|46|paid
1683|cobalt|east|pump|99|pending
1157|dorian|west|valve|36|paid
1251|fulton|east|sensor|72|pending
1498|fulton|north|panel|78|pending
1301|ember|south|gasket|79|pending
1457|fulton|south|rotor|41|shipped
1600|dorian|east|frame|39|paid
1452|cobalt|west|gasket|21|paid
1671|ember|north|sensor|28|paid
1610|ionic|east|gasket|64|shipped
1528|juno|north|pump|33|shipped
1415|gale|west|frame|64|pending
1527|acme|south|cable|95|paid
1136|harbor|north|cable|44|held
1409|acme|north|gasket|14|paid
1095|gale|south|sensor|63|pending
1328|gale|east|frame|95|held
1156|ember|east|cable|78|shipped
1087|gale|north|valve|88|pending
1230|fulton|west|sensor|13|pending
1308|ionic|east|cable|74|pending
1335|cobalt|south|panel|27|paid
1243|dorian|west|panel|97|paid
1402|harbor|east|sensor|74|paid
1429|acme|east|valve|21|shipped
1687|dorian|south|cable|99|shipped
1375|dorian|west|cable|89|pending
1065|gale|south|valve|59|pending
1674|fulton|north|panel|98|shipped
1130|acme|south|valve|26|paid
1077|gale|north|sensor|91|pending
1392|fulton|south|pump|26|pending
1454|gale|west|panel|70|shipped
1283|ionic|north|valve|56|shipped
1438|dorian|north|frame|46|shipped
1565|harbor|east|valve|82|paid
1468|acme|west|cable|79|paid
1606|acme|north|frame|80|pending
1123|gale|north|pump|52|pending
1493|gale|east|cable|17|pending
1204|dorian|south|panel|93|pending
1589|birch|east|rotor|75|pending
1171|acme|north|pump|56|paid
1281|birch|west|cable|46|shipped
1357|gale|south|gasket|53|held
1210|harbor|east|frame|60|paid
1184|fulton|south|frame|24|pending
1689|gale|east|pump|54|pending
1086|gale|north|rotor|77|paid
1694|dorian|east|frame|30|held
1617|juno|east|sensor|54|pending
1639|cobalt|east|rotor|62|shipped
1445|birch|east|valve|10|paid
1583|birch|south|cable|75|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "rotor", "qty": 74}}, {"tool": "restock", "args": {"item": "sensor", "qty": 91}}, {"tool": "restock", "args": {"item": "valve", "qty": 88}}, {"tool": "cancel_order", "args": {"order_id": 1094}}, {"tool": "restock", "args": {"item": "sensor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1123}}, {"tool": "cancel_order", "args": {"order_id": 1176}} ]
correctagentic.tools.triage-v1conf 98% · 1.6s · $0.012 · 344 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 4)
2. "API latency spikes" (category: infra, priority 5)
3. "cannot reset password" (category: auth, priority 3)
4. "API latency spikes" (category: infra, 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": "card declined at checkout", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.ledger-v1conf 98% · 1.2s · $0.014 · 446 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $788
- oscar: $730
- tango: $420

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $320 from "oscar" to "tango"
2. pay $424 from "oscar" to "tango"
3. pay $540 from "tango" to "oscar"
4. pay $379 from "tango" to "kilo"
5. pay $201 from "kilo" 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": "oscar", "to": "tango", "amount": 320}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 14}}, {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 424}}, {"tool": "transfer", "args": {"from": "tango", "to": "oscar", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 379}}, {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 201}} ]
correctagentic.tools.deploy-v1conf 95% · 1.4s · $0.008 · 227 tok
question
You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "auth-svc"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}} ]
correctagentic.tools.triage-v1conf 95% · 1.3s · $0.013 · 345 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 → chen
- payments → rivera
- auth → silva

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 5)
2. "refund double-charged" (category: payments, priority 5)
3. "refund double-charged" (category: payments, priority 5)
4. "records missing after import" (category: data, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "chen"}} ]
correctagentic.tools.context-load-v1conf 98% · 1.4s · $0.028 · 283 tok
question
You are an order-operations agent working strictly through tool calls.

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

ORDER LEDGER (214 records, format: id|customer|region|item|qty|status):
```
1854|dorian|west|cable|25|shipped
1214|birch|east|panel|85|paid
1270|acme|west|gasket|98|paid
1839|harbor|north|rotor|35|shipped
1165|gale|south|cable|42|shipped
1650|gale|north|sensor|95|held
1892|cobalt|north|sensor|63|paid
1776|juno|north|cable|75|paid
1931|acme|west|gasket|11|held
1184|fulton|north|panel|71|held
1698|birch|west|rotor|62|paid
1586|harbor|east|panel|49|shipped
1511|fulton|west|frame|77|held
1687|dorian|south|valve|77|pending
1363|ionic|north|pump|49|held
1518|dorian|west|valve|84|held
1456|harbor|west|gasket|57|held
1859|juno|west|pump|97|pending
1648|juno|north|panel|62|held
1896|acme|west|gasket|71|paid
1908|birch|east|sensor|54|shipped
1506|fulton|north|valve|90|shipped
1627|gale|north|panel|38|paid
1851|ember|south|panel|82|pending
1355|harbor|west|pump|47|held
1377|dorian|west|rotor|99|pending
1169|dorian|west|pump|28|pending
1463|cobalt|north|pump|84|paid
1706|ionic|east|frame|43|held
1313|birch|east|rotor|93|shipped
1523|ember|west|panel|60|paid
1711|gale|west|cable|22|shipped
1777|fulton|west|gasket|32|paid
1301|birch|north|valve|57|held
1231|cobalt|south|gasket|36|paid
1631|juno|south|panel|70|shipped
1717|fulton|east|pump|12|pending
1452|ionic|north|gasket|14|pending
1432|acme|east|sensor|17|held
1868|dorian|north|gasket|23|held
1521|cobalt|south|frame|60|paid
1277|juno|south|cable|83|pending
1319|ionic|south|sensor|54|shipped
1569|cobalt|south|pump|50|paid
1333|harbor|south|cable|86|shipped
1182|cobalt|east|panel|27|pending
1312|acme|south|sensor|17|pending
1620|acme|west|gasket|41|held
1172|acme|west|panel|53|held
1491|juno|north|panel|64|paid
1122|acme|east|valve|88|pending
1152|acme|east|cable|49|pending
1130|acme|east|rotor|45|paid
1266|cobalt|east|frame|26|paid
1539|acme|east|panel|87|held
1875|ionic|north|gasket|62|pending
1441|cobalt|west|sensor|90|held
1590|fulton|east|rotor|50|pending
1557|birch|west|valve|62|pending
1386|acme|north|panel|16|paid
1400|ember|west|cable|76|pending
1410|harbor|south|valve|46|paid
1137|acme|east|frame|39|pending
1341|cobalt|west|panel|64|held
1447|gale|south|pump|45|pending
1913|ionic|north|sensor|71|pending
1807|birch|south|sensor|96|pending
1123|acme|west|frame|86|pending
1826|acme|west|rotor|36|paid
1781|ember|south|cable|67|pending
1334|gale|south|frame|24|held
1709|cobalt|north|rotor|34|pending
1185|acme|east|sensor|69|shipped
1246|fulton|west|sensor|60|pending
1262|fulton|north|panel|33|paid
1145|acme|east|rotor|98|shipped
1756|juno|south|rotor|59|shipped
1888|birch|west|frame|44|shipped
1203|harbor|south|cable|81|pending
1607|ionic|south|cable|14|paid
1470|cobalt|west|gasket|94|held
1665|acme|north|gasket|47|pending
1340|birch|west|rotor|37|paid
1949|acme|east|sensor|51|held
1653|cobalt|south|valve|70|paid
1300|harbor|east|valve|81|shipped
1621|birch|east|sensor|98|shipped
1684|dorian|west|frame|94|pending
1965|juno|east|cable|88|held
1435|juno|east|rotor|13|shipped
1956|ionic|west|cable|43|held
1651|harbor|west|frame|99|shipped
1153|acme|west|gasket|67|pending
1634|ionic|south|pump|58|held
1731|ionic|east|panel|87|paid
1292|birch|north|cable|61|paid
1485|cobalt|east|pump|82|held
1599|ember|east|gasket|84|pending
1918|gale|south|valve|40|pending
1950|cobalt|south|rotor|90|shipped
1354|juno|west|frame|62|pending
1156|juno|south|rotor|69|shipped
1880|ember|south|sensor|43|held
1478|ember|west|panel|13|paid
1818|birch|south|cable|56|paid
1143|acme|south|valve|97|pending
1192|gale|south|rotor|73|pending
1212|dorian|south|frame|91|pending
1662|ember|south|pump|92|shipped
1550|juno|north|frame|44|held
1416|ember|west|rotor|73|held
1768|ionic|north|pump|67|pending
1904|ember|east|pump|33|pending
1370|dorian|east|cable|31|held
1381|ionic|south|rotor|41|shipped
1328|acme|south|cable|62|pending
1579|acme|south|frame|21|pending
1345|gale|east|panel|33|held
1843|harbor|west|sensor|34|held
1876|dorian|south|panel|60|shipped
1722|dorian|north|gasket|40|pending
1688|harbor|west|gasket|81|held
1675|birch|south|gasket|57|held
1822|harbor|north|cable|59|shipped
1773|ember|north|gasket|15|shipped
1617|juno|north|frame|33|shipped
1899|cobalt|south|sensor|11|held
1446|acme|south|rotor|23|held
1686|harbor|north|cable|34|held
1961|fulton|south|sensor|16|shipped
1948|gale|west|rotor|55|paid
1420|gale|east|valve|10|pending
1764|harbor|east|pump|47|held
1757|juno|east|rotor|13|shipped
1641|fulton|north|rotor|22|shipped
1477|fulton|west|cable|12|held
1201|juno|south|frame|84|paid
1844|acme|south|pump|82|held
1498|dorian|north|rotor|65|held
1758|juno|east|rotor|93|held
1916|ionic|north|frame|12|pending
1324|gale|south|cable|66|held
1594|juno|east|sensor|22|shipped
1614|acme|north|pump|96|pending
1564|gale|east|pump|94|shipped
1198|ember|west|frame|20|paid
1427|cobalt|north|gasket|93|held
1695|juno|west|rotor|77|held
1729|birch|east|pump|27|held
1830|ember|east|pump|99|pending
1751|cobalt|east|panel|29|paid
1595|acme|east|sensor|43|held
1813|fulton|south|sensor|82|shipped
1519|ionic|north|pump|42|paid
1252|ionic|west|gasket|98|pending
1800|birch|east|pump|19|shipped
1285|ionic|north|valve|69|held
1922|birch|south|panel|13|shipped
1534|acme|east|rotor|43|shipped
1302|cobalt|west|rotor|64|held
1574|dorian|west|frame|52|shipped
1794|birch|south|valve|87|shipped
1281|ember|east|frame|49|held
1448|acme|south|pump|32|shipped
1947|fulton|west|pump|19|paid
1704|harbor|east|panel|89|paid
1792|cobalt|south|rotor|11|paid
1744|dorian|east|valve|33|pending
1299|cobalt|east|rotor|59|shipped
1805|ember|west|cable|79|shipped
1786|ember|north|gasket|32|pending
1243|acme|south|gasket|55|paid
1863|ionic|east|gasket|26|shipped
1230|juno|north|sensor|23|shipped
1835|ember|east|frame|34|held
1925|ionic|north|sensor|76|paid
1162|dorian|east|panel|79|shipped
1347|ember|north|pump|19|shipped
1600|dorian|north|frame|22|shipped
1516|birch|north|rotor|16|shipped
1502|cobalt|west|sensor|35|held
1680|cobalt|west|gasket|33|held
1208|cobalt|west|rotor|33|pending
1223|fulton|south|sensor|60|held
1357|birch|west|panel|30|pending
1528|gale|east|sensor|24|shipped
1659|birch|north|frame|82|pending
1450|ionic|east|valve|61|pending
1394|juno|north|sensor|84|held
1395|fulton|south|pump|79|held
1546|dorian|north|gasket|91|shipped
1941|cobalt|north|sensor|65|held
1877|dorian|west|panel|86|paid
1309|ember|north|panel|25|pending
1244|birch|north|frame|75|paid
1883|dorian|north|sensor|50|pending
1894|ionic|east|frame|34|shipped
1335|fulton|west|panel|76|pending
1937|birch|east|gasket|17|paid
1259|cobalt|east|frame|55|shipped
1236|gale|west|panel|27|pending
1219|fulton|west|cable|88|held
1847|dorian|west|valve|53|shipped
1525|acme|north|valve|67|paid
1465|ember|north|frame|54|paid
1407|harbor|east|gasket|47|paid
1155|acme|east|frame|85|paid
1762|ember|west|cable|94|paid
1315|cobalt|north|pump|94|shipped
1168|harbor|east|gasket|18|paid
1737|birch|east|rotor|78|paid
1390|gale|east|gasket|21|pending
1668|ember|north|rotor|20|shipped
1175|fulton|west|sensor|85|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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: [ {"tool": "restock", "args": {"item": "valve", "qty": 88}}, {"tool": "cancel_order", "args": {"order_id": 1137}}, {"tool": "cancel_order", "args": {"order_id": 1152}} ]
correctagentic.tools.deploy-v1conf 95% · 1.1s · $0.006 · 154 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.context-load-v1conf 95% · 1.7s · $0.037 · 876 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 (151 records, format: id|customer|region|item|qty|status):
```
1455|ionic|west|rotor|20|paid
1785|dorian|east|rotor|51|paid
1547|ember|west|rotor|15|pending
1805|acme|north|rotor|80|pending
1887|cobalt|west|gasket|96|pending
1713|birch|west|panel|81|paid
1403|juno|south|rotor|10|held
1577|gale|west|pump|95|paid
1843|gale|north|panel|97|held
1837|dorian|north|cable|71|held
1564|birch|west|rotor|76|held
1691|ember|south|gasket|67|paid
1518|fulton|west|panel|99|pending
1935|dorian|north|sensor|86|paid
1790|birch|east|sensor|62|shipped
1733|gale|south|sensor|28|held
1671|acme|south|pump|64|held
1781|juno|south|pump|38|pending
1481|ionic|north|cable|39|shipped
1530|fulton|east|valve|46|held
1911|acme|north|sensor|78|pending
1944|acme|west|pump|53|paid
1819|juno|north|gasket|68|paid
1818|ionic|west|valve|96|pending
1616|harbor|south|gasket|14|pending
1477|birch|east|gasket|61|held
1418|juno|south|valve|78|shipped
1855|dorian|south|rotor|19|paid
1689|gale|south|gasket|58|pending
1667|fulton|south|rotor|71|held
1379|juno|south|cable|94|pending
1598|dorian|south|valve|75|pending
1741|acme|east|gasket|44|shipped
1651|gale|west|rotor|95|held
1824|fulton|east|cable|79|pending
1461|gale|north|pump|49|shipped
1884|birch|east|gasket|80|shipped
1864|cobalt|south|cable|81|shipped
1678|dorian|south|sensor|88|held
1717|gale|south|frame|80|paid
1985|gale|east|sensor|29|held
1745|juno|west|pump|97|held
1466|harbor|south|sensor|23|held
1721|dorian|east|panel|43|held
1972|ionic|south|gasket|20|paid
1660|juno|north|gasket|61|shipped
1798|gale|south|cable|44|shipped
1630|dorian|east|panel|41|held
1844|birch|south|gasket|56|pending
1584|harbor|west|sensor|25|pending
1644|acme|west|rotor|81|held
1812|fulton|east|frame|17|shipped
1947|acme|south|panel|30|pending
1452|juno|east|valve|99|shipped
1484|acme|south|sensor|41|paid
1770|cobalt|north|gasket|73|pending
1930|harbor|south|panel|15|held
1938|cobalt|south|gasket|35|paid
1637|acme|south|cable|77|shipped
1900|ember|south|valve|92|shipped
1755|ember|west|panel|98|held
1473|birch|north|rotor|20|paid
1496|birch|north|frame|56|paid
1516|fulton|north|cable|82|shipped
1849|gale|south|rotor|49|shipped
1435|juno|south|sensor|27|paid
1975|fulton|north|sensor|11|paid
1540|ionic|north|rotor|31|pending
1859|juno|south|valve|85|paid
1879|acme|south|pump|79|paid
1492|acme|west|frame|27|pending
1697|dorian|west|valve|90|pending
1394|juno|south|rotor|72|pending
1893|cobalt|south|frame|21|shipped
1685|ionic|south|valve|15|paid
1619|fulton|north|sensor|48|held
1409|juno|south|rotor|66|pending
1831|gale|west|frame|87|pending
1964|harbor|north|pump|23|pending
1726|ember|south|valve|40|held
1389|juno|south|cable|71|paid
1624|dorian|east|rotor|20|held
1737|ember|south|pump|59|shipped
1590|fulton|west|cable|25|pending
1401|juno|north|gasket|54|pending
1804|ember|east|pump|62|pending
1495|dorian|south|rotor|22|held
1998|harbor|north|rotor|47|shipped
1996|cobalt|south|frame|50|held
1550|ionic|north|sensor|13|paid
1441|ember|south|valve|26|held
1706|gale|east|frame|50|held
1989|fulton|south|cable|88|shipped
1954|ember|west|valve|58|held
1867|fulton|south|valve|13|pending
1431|juno|west|frame|29|pending
1981|cobalt|south|valve|61|paid
1593|cobalt|north|panel|51|held
1424|juno|south|cable|42|pending
1725|harbor|north|panel|47|held
1924|harbor|east|sensor|60|pending
1555|dorian|north|frame|27|pending
1792|gale|east|rotor|31|pending
1628|cobalt|south|gasket|99|pending
1774|dorian|east|sensor|36|held
1854|acme|north|sensor|76|pending
1416|juno|west|panel|16|pending
1885|ionic|south|rotor|73|shipped
1447|harbor|north|panel|50|pending
1757|gale|north|sensor|40|shipped
1535|juno|west|panel|68|shipped
1761|acme|north|rotor|35|paid
1945|acme|east|frame|45|pending
1888|ember|south|gasket|55|shipped
1604|ionic|south|panel|90|pending
1795|gale|west|gasket|51|pending
1565|fulton|west|sensor|82|paid
1690|ionic|north|sensor|92|pending
1714|birch|south|rotor|65|shipped
1488|fulton|south|frame|70|paid
1965|acme|south|frame|67|pending
1958|gale|south|sensor|99|held
1918|gale|north|rotor|41|shipped
1528|ember|east|gasket|25|pending
1478|harbor|east|sensor|78|paid
1600|cobalt|south|cable|12|shipped
1541|birch|north|cable|70|held
1766|cobalt|north|pump|73|held
1873|cobalt|south|panel|17|paid
1485|juno|south|panel|67|paid
1558|harbor|east|rotor|72|paid
1506|juno|south|gasket|55|held
1500|ionic|south|valve|70|paid
1718|dorian|south|pump|81|held
1990|gale|west|frame|60|held
1386|juno|west|gasket|24|pending
1513|juno|north|sensor|60|pending
1716|dorian|north|gasket|57|pending
1571|cobalt|north|pump|33|pending
1905|fulton|north|cable|40|pending
1890|acme|north|frame|59|pending
1458|dorian|east|pump|29|held
1820|dorian|east|frame|94|pending
1609|cobalt|west|rotor|37|paid
1751|acme|north|pump|79|pending
1821|fulton|north|gasket|85|shipped
1657|juno|west|pump|66|pending
1674|juno|west|sensor|50|paid
1974|dorian|south|valve|92|shipped
1702|ionic|south|panel|77|shipped
1521|juno|east|valve|91|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "cable", "qty": 94}}, {"tool": "restock", "args": {"item": "rotor", "qty": 72}}, {"tool": "restock", "args": {"item": "rotor", "qty": 66}}, {"tool": "cancel_order", "args": {"order_id": 1424}}, {"tool": "cancel_order", "args": {"order_id": 1781}} ]
correctagentic.tools.ledger-v1conf 98% · 1.2s · $0.014 · 430 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- bravo: $427
- delta: $549
- alpha: $377

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $402 from "delta" to "alpha"
2. pay $204 from "delta" to "alpha"
3. pay $204 from "delta" to "bravo"
4. pay $487 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": "delta", "to": "alpha", "amount": 402}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 57}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 204}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 204}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 204}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 487}}, {"tool": "transfer", "args": {"from": "delta", "to": "alpha", "amount": 487}} ]
correctagentic.tools.triage-v1conf 98% · 2.6s · $0.013 · 376 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "refund double-charged" (category: payments, priority 7)
3. "cannot reset password" (category: auth, priority 6)
4. "SSO loop on login" (category: auth, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}} ]
correctagentic.tools.deploy-v1conf 92% · 1.8s · $0.008 · 218 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: billing
- auth-svc: (none)
- billing: auth-svc
- gateway: auth-svc, billing

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 98% · 1.2s · $0.014 · 415 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $302
- alpha: $223
- oscar: $439

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $475 from "oscar" to "alpha"
2. pay $95 from "alpha" to "lima"
3. pay $202 from "lima" to "oscar"
4. pay $140 from "lima" to "oscar"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 36}}, {"tool": "transfer", "args": {"from": "oscar", "to": "alpha", "amount": 475}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 95}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 202}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 140}} ]
correctagentic.tools.triage-v1conf 72% · 4.0s · $0.018 · 570 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
- infra → okafor
- payments → silva

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 3)
2. "uploads failing intermittently" (category: infra, priority 7)
3. "dashboard shows stale numbers" (category: data, priority 3)
4. "dashboard shows stale numbers" (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": "dashboard shows stale numbers", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "tanaka"}} ]
correctagentic.tools.context-load-v1conf 93% · 1.4s · $0.037 · 646 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 (224 records, format: id|customer|region|item|qty|status):
```
1848|cobalt|east|pump|89|held
1883|harbor|south|panel|70|held
1671|acme|south|pump|67|shipped
1932|fulton|west|cable|16|pending
1416|acme|east|gasket|49|held
1796|ember|west|panel|33|pending
1530|cobalt|east|rotor|80|held
1533|ionic|east|panel|76|shipped
1474|harbor|south|frame|41|held
1613|harbor|south|rotor|26|shipped
1360|acme|south|valve|45|held
1800|gale|east|cable|31|shipped
1394|acme|south|pump|32|paid
1518|harbor|east|gasket|36|pending
2115|fulton|south|cable|26|shipped
1617|birch|north|sensor|48|held
1423|ember|south|cable|93|shipped
1568|birch|north|gasket|99|pending
1887|acme|south|rotor|48|held
1866|juno|south|rotor|18|paid
1802|birch|east|frame|30|paid
1705|juno|east|sensor|73|shipped
1489|fulton|south|gasket|45|shipped
1991|ionic|north|rotor|42|paid
1743|gale|east|panel|38|paid
1635|ember|east|gasket|85|pending
1415|gale|south|gasket|84|paid
2092|harbor|east|sensor|12|paid
1465|juno|south|gasket|64|pending
1505|acme|west|sensor|61|held
1527|fulton|east|valve|17|shipped
2100|fulton|north|frame|70|shipped
2202|dorian|east|sensor|80|shipped
2251|harbor|south|valve|88|pending
1839|acme|north|valve|42|held
1649|ember|west|gasket|51|held
2048|ionic|north|gasket|16|shipped
1387|acme|east|gasket|62|pending
1656|cobalt|south|panel|50|paid
2043|ionic|north|valve|47|pending
1467|juno|west|pump|91|shipped
1545|acme|east|pump|31|shipped
2151|cobalt|east|cable|12|paid
1665|ember|west|gasket|77|held
1410|fulton|east|pump|86|pending
1749|ember|east|rotor|34|held
2067|ember|west|valve|10|held
2220|birch|north|pump|95|shipped
2152|ionic|east|cable|98|held
2185|acme|south|rotor|10|pending
1632|harbor|north|pump|23|shipped
1806|harbor|east|cable|96|held
1882|gale|south|gasket|15|pending
1833|acme|east|cable|67|paid
2103|fulton|west|rotor|72|held
1717|birch|east|pump|45|held
1496|cobalt|east|panel|94|paid
1471|cobalt|north|valve|25|shipped
2175|ember|south|valve|54|shipped
1586|ember|west|valve|43|shipped
1726|juno|east|rotor|30|pending
1974|ember|south|sensor|38|pending
1634|acme|east|cable|65|shipped
1593|juno|west|frame|39|held
1430|gale|east|panel|36|pending
1719|cobalt|south|cable|93|paid
2180|birch|south|valve|78|pending
1459|cobalt|east|gasket|44|held
1926|gale|north|pump|81|shipped
1644|dorian|west|valve|92|held
1622|ionic|north|panel|66|paid
2039|ember|west|cable|98|paid
1678|fulton|west|cable|10|paid
1783|ionic|west|gasket|46|held
1349|acme|south|frame|50|pending
1794|acme|north|rotor|24|pending
2061|harbor|east|sensor|84|pending
1853|birch|south|pump|54|shipped
1687|fulton|south|pump|91|held
1637|ionic|south|sensor|96|shipped
2188|fulton|west|frame|28|shipped
2200|acme|south|panel|67|pending
1597|ember|south|pump|38|held
2054|cobalt|west|gasket|85|paid
1965|acme|east|panel|90|shipped
1713|dorian|north|valve|14|shipped
2027|juno|south|cable|12|paid
2011|gale|north|valve|97|pending
1384|acme|south|sensor|11|shipped
2059|cobalt|east|panel|46|pending
1737|birch|east|gasket|34|held
1584|ember|west|cable|36|held
1682|birch|west|cable|81|paid
2123|birch|north|sensor|10|pending
2016|acme|east|sensor|87|held
1689|birch|west|rotor|33|paid
1625|fulton|west|gasket|42|pending
2139|dorian|south|gasket|24|pending
1609|fulton|west|sensor|33|paid
1890|juno|west|sensor|17|held
1898|fulton|south|valve|48|shipped
2129|cobalt|east|gasket|85|shipped
2169|acme|north|cable|78|shipped
1859|ionic|west|sensor|69|held
1788|gale|east|panel|58|shipped
2208|ionic|south|panel|49|pending
1650|harbor|north|pump|31|held
1756|harbor|north|sensor|83|held
1720|acme|south|sensor|47|paid
2157|birch|north|cable|22|shipped
1998|gale|north|pump|40|paid
2095|gale|east|pump|21|shipped
2071|juno|south|rotor|73|paid
1895|ember|north|valve|91|paid
1627|juno|east|gasket|29|held
2068|ionic|north|panel|48|shipped
2263|ember|east|rotor|54|pending
2086|ember|south|gasket|70|held
2159|birch|east|pump|47|pending
1978|ember|north|frame|79|pending
1684|ember|west|frame|33|paid
1537|acme|east|valve|80|paid
2198|juno|east|cable|48|held
1959|acme|south|panel|68|pending
1604|juno|north|sensor|92|paid
1813|juno|east|frame|92|pending
1876|cobalt|south|gasket|82|paid
1440|birch|south|valve|69|paid
2122|harbor|west|valve|51|shipped
1997|fulton|east|pump|34|shipped
2160|harbor|east|pump|58|shipped
1400|ember|north|rotor|26|shipped
1916|dorian|east|gasket|65|pending
2140|juno|east|frame|89|paid
1446|juno|north|sensor|82|shipped
1852|fulton|west|gasket|92|pending
1660|birch|north|cable|56|shipped
1405|juno|east|pump|90|shipped
1827|cobalt|south|pump|56|paid
1962|cobalt|south|valve|36|paid
1362|acme|south|sensor|35|pending
1711|ionic|north|cable|94|paid
1457|harbor|west|panel|54|pending
1426|gale|east|cable|90|shipped
2225|fulton|east|sensor|12|pending
1603|gale|west|valve|11|shipped
2105|gale|north|rotor|63|paid
1820|juno|west|sensor|37|held
2019|dorian|west|cable|34|pending
1696|juno|west|cable|34|held
2097|ionic|west|frame|63|held
1704|cobalt|west|valve|29|paid
1730|gale|west|valve|64|paid
2001|dorian|west|cable|38|shipped
1481|cobalt|west|frame|43|paid
2007|dorian|east|frame|61|shipped
2258|ember|south|gasket|60|pending
1363|acme|east|gasket|50|pending
1795|ionic|east|panel|45|paid
1618|gale|east|gasket|46|paid
1374|acme|south|valve|10|pending
2003|ember|south|gasket|23|shipped
1778|fulton|west|sensor|39|pending
1701|gale|west|frame|33|paid
2147|juno|east|sensor|33|pending
1520|birch|north|valve|55|held
1342|acme|south|sensor|35|paid
2214|gale|north|pump|93|held
1772|harbor|north|sensor|34|held
1937|fulton|south|panel|86|shipped
2192|harbor|east|sensor|76|held
1377|acme|north|gasket|73|pending
1561|cobalt|east|gasket|52|pending
1497|cobalt|west|gasket|73|pending
1554|harbor|north|sensor|71|pending
1763|cobalt|south|frame|12|shipped
2072|fulton|north|frame|43|shipped
1512|harbor|west|sensor|59|paid
1986|gale|north|cable|39|shipped
1333|acme|south|panel|23|pending
1677|acme|north|rotor|78|pending
1809|cobalt|east|cable|52|held
1450|cobalt|west|pump|71|paid
2024|birch|west|rotor|87|shipped
1845|gale|south|frame|91|paid
1544|acme|north|pump|31|held
2030|birch|south|frame|49|paid
1948|fulton|south|rotor|27|held
1577|ionic|north|valve|12|held
2053|ionic|north|panel|51|shipped
1437|harbor|west|frame|84|paid
1953|birch|west|panel|59|shipped
1769|ionic|west|frame|28|paid
2183|juno|north|rotor|44|pending
2237|ember|west|sensor|22|paid
1869|birch|west|cable|97|shipped
1945|acme|east|frame|65|pending
1385|acme|south|sensor|81|pending
1980|gale|east|valve|39|pending
1356|acme|east|rotor|74|pending
1338|acme|north|rotor|94|pending
1762|gale|east|sensor|92|held
1987|harbor|west|valve|13|pending
2241|juno|east|sensor|54|held
1504|ember|east|pump|89|pending
1970|birch|south|frame|14|held
1912|cobalt|north|sensor|18|pending
1923|juno|west|pump|82|held
2163|cobalt|north|sensor|33|shipped
2256|juno|east|pump|12|pending
2112|gale|north|pump|68|shipped
1571|ionic|east|frame|82|shipped
2133|ember|west|gasket|58|shipped
1905|juno|north|cable|54|held
2245|gale|west|gasket|67|pending
1438|gale|west|frame|89|shipped
2052|birch|west|cable|99|pending
1488|harbor|south|frame|74|shipped
2037|dorian|west|gasket|93|held
2079|gale|south|panel|95|paid
2231|juno|east|pump|88|paid
1944|juno|east|sensor|34|shipped
1369|acme|south|panel|31|shipped
1547|cobalt|north|panel|49|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 59, 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": 1333}}, {"tool": "cancel_order", "args": {"order_id": 1349}}, {"tool": "cancel_order", "args": {"order_id": 1362}}, {"tool": "cancel_order", "args": {"order_id": 1374}}, {"tool": "restock", "args": {"item": "sensor", "qty": 81}}, {"tool": "restock", "args": {"item": "panel", "qty": 68}}, {"tool": "cancel_order", "args": {"order_id": 2185}}, {"tool": "restock", "args": {"item": "panel", "qty": 67}} ]
correctagentic.tools.ledger-v1conf 98% · 1.5s · $0.016 · 522 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: $490
- delta: $848
- bravo: $574

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $510 from "delta" to "bravo"
2. pay $135 from "delta" to "bravo"
3. pay $477 from "oscar" to "delta"
4. pay $383 from "oscar" to "bravo"
5. pay $191 from "oscar" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 510}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 135}}, {"tool": "transfer", "args": {"from": "oscar", "to": "delta", "amount": 477}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 370}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 383}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 191}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 191}} ]
correctagentic.tools.deploy-v1conf 98% · 1.3s · $0.009 · 240 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: gateway, notifier
- notifier: (none)
- gateway: notifier
- search: notifier, 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 "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": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.triage-v1conf 98% · 1.3s · $0.014 · 385 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:
- payments → rivera
- data → novak
- infra → silva

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 7)
2. "dashboard shows stale numbers" (category: data, priority 2)
3. "uploads failing intermittently" (category: infra, priority 5)
4. "uploads failing intermittently" (category: infra, 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": "card declined at checkout", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}} ]
correctagentic.tools.context-load-v1anchorconf 97% · 1.1s · $0.029 · 439 tok
model answer: [ {"tool": "restock", "args": {"item": "gasket", "qty": 60}}, {"tool": "cancel_order", "args": {"order_id": 1368}}, {"tool": "cancel_order", "args": {"order_id": 1384}}, {"tool": "restock", "args": {"item": "frame", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 75}}, {"tool": "cancel_order", "args": {"order_id": 1682}} ]
correctagentic.tools.deploy-v1anchorconf 95% · 1.8s · $0.006 · 155 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 98% · 1.2s · $0.015 · 472 tok
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
correctagentic.tools.triage-v1anchorconf 98% · 2.0s · $0.013 · 374 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
code 30/30 correct
correctcode.trace.nested-v1conf 99% · 1.5s · $0.017 · 631 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 == 6 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: 152
correctcode.trace.js-v1conf 100% · 1.9s · $0.003 · 75 tok
question
What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13];
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: 152
correctcode.trace.python-v1conf 98% · 1.4s · $0.005 · 185 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 14
while total + v <= 84:
    if v % 4 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctcode.trace.nested-v1conf 98% · 1.6s · $0.022 · 823 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) % 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: 202
correctcode.trace.js-v1conf 99% · 1.1s · $0.003 · 71 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 168
correctcode.trace.python-v1conf 100% · 1.8s · $0.007 · 249 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 6
while total + v <= 32:
    if v % 3 != 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: 0
correctcode.trace.nested-v1conf 98% · 1.8s · $0.013 · 490 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 == 6 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 132
correctcode.trace.js-v1conf 100% · 1.9s · $0.003 · 70 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15];
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: 135
correctcode.trace.nested-v1conf 98% · 1.1s · $0.020 · 761 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 == 5 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 348
correctcode.trace.python-v1conf 95% · 1.4s · $0.006 · 205 tok
question
What does this Python program print?

```python
total = 0
v = 15
while total + v <= 89:
    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: 69
correctcode.trace.js-v1conf 100% · 1.5s · $0.003 · 75 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 5)
  .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: 420
correctcode.trace.python-v1conf 95% · 1.4s · $0.009 · 337 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 2
while total + v <= 69:
    if v % 7 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 58
correctcode.trace.nested-v1conf 98% · 1.8s · $0.015 · 548 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 200
correctcode.trace.js-v1conf 100% · 1.1s · $0.003 · 78 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 180
correctcode.trace.python-v1conf 98% · 1.0s · $0.006 · 208 tok
question
What does this Python program print?

```python
total = 0
v = 1
while total + v <= 66:
    if v % 6 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 66
correctcode.trace.nested-v1conf 98% · 2.6s · $0.012 · 423 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 71
correctcode.trace.js-v1conf 99% · 1.1s · $0.003 · 58 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 5)
  .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: 605
correctcode.trace.nested-v1conf 98% · 1.2s · $0.023 · 887 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, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 364
correctcode.trace.python-v1conf 95% · 1.0s · $0.009 · 348 tok
question
What does this Python program print?

```python
total = 0
v = 4
while total + v <= 106:
    if v % 7 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 72
correctcode.trace.js-v1conf 100% · 1.6s · $0.003 · 80 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 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: 84
correctcode.trace.python-v1conf 95% · 1.3s · $0.006 · 200 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 10
while total + v <= 106:
    if v % 5 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 78
correctcode.trace.nested-v1conf 98% · 1.5s · $0.015 · 560 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 171
correctcode.trace.js-v1conf 100% · 1.3s · $0.003 · 70 tok
question
What does this JavaScript program log?

```js
const arr = [8, 9, 10, 11, 12, 13];
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: 42
correctcode.trace.python-v1conf 98% · 1.2s · $0.007 · 234 tok
question
What does this Python program print?

```python
total = 0
v = 9
while total + v <= 91:
    if v % 5 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 85
correctcode.trace.nested-v1conf 98% · 1.0s · $0.015 · 568 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.js-v1conf 99% · 1.4s · $0.004 · 121 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84
correctcode.trace.python-v1anchorconf 98% · 1.0s · $0.005 · 188 tok
model answer: 0
correctcode.trace.nested-v1anchorconf 98% · 1.6s · $0.017 · 658 tok
model answer: 283
correctcode.trace.js-v1anchorconf 100% · 1.6s · $0.003 · 72 tok
model answer: 63
correctcode.trace.python-v1anchorconf 98% · 1.3s · $0.005 · 154 tok
model answer: 40
instruction following 28/30 correct
correctif.constraints.stack-v1conf 90% · 2.0s · $0.008 · 286 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "prism" and the last word must be "quartz".
3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism lights shimmer over tundra streets, tundra alleys hum, tundra winds sweep the sleeping city like quartz
wrongif.format.acronym-v1conf 99% · 1.9s · $0.001 · 27 tok
question
Take the second letter of each of these words, in order: drift, comet, prism, quartz, echo, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ROREHE
correctif.constraints.stack-v1conf 85% · 2.2s · $0.007 · 224 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "tundra" and the last word must be "prism".
3. Use the word "falcon" 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: tundra dawn breaks as falcon, falcon, falcon glide above frosted pines beneath icy prism
correctif.constraints.stack-v1conf 90% · 1.6s · $0.017 · 647 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "tundra" and the last word must be "basalt".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra winds sweep silent streets while one prism glows, another prism shimmers, third prism reflects light upon basalt
correctif.format.repeat-v1conf 100% · 1.9s · $0.002 · 57 tok
question
Write the word "tundra" in lowercase form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra-tundra-tundra-tundra-tundra-tundra-tundra-tundra-tundra
wrongif.format.acronym-v1conf 99% · 2.8s · $0.001 · 27 tok
question
Take the second letter of each of these words, in order: zephyr, orbit, basalt, tundra, drift, 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: ERAULL
correctif.format.repeat-v1conf 98% · 1.8s · $0.002 · 61 tok
question
Write the word "falcon" in capitalized form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FALCON/FALCON/FALCON/FALCON/FALCON/FALCON/FALCON/FALCON
correctif.format.acronym-v1conf 100% · 1.9s · $0.001 · 26 tok
question
Take the first letter of each of these words, in order: basalt, echo, ember, 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: BEEP
correctif.format.repeat-v1conf 99% · 4.0s · $0.002 · 63 tok
question
Write the word "lumen" in capitalized form, repeated exactly 7 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: LUMEN-LUMEN-LUMEN-LUMEN-LUMEN-LUMEN-LUMEN
correctif.constraints.stack-v1conf 90% · 1.7s · $0.008 · 279 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "tundra" and the last word must be "quartz".
3. Use the word "zephyr" 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: tundra winds carried a zephyr past mountains, where another zephyr swept travelers toward the shimmering distant quartz
correctif.constraints.stack-v1conf 95% · 2.1s · $0.008 · 267 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "echo" and the last word must be "flint".
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: echo across vast deserts we walked past quartz cliffs and quartz canyons toward ancient weathered flint
correctif.format.acronym-v1conf 100% · 1.7s · $0.001 · 26 tok
question
Take the first letter of each of these words, in order: flint, orbit, prism, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FOPN
correctif.format.repeat-v1conf 100% · 1.6s · $0.002 · 39 tok
question
Write the word "prism" 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: prism_prism_prism_prism_prism_prism
correctif.constraints.stack-v1conf 95% · 2.2s · $0.008 · 286 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "basalt" and the last word must be "zephyr".
3. Use the word "comet" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: basalt cliffs watch comet waves crash while comet foam dances beneath a comet sky stirred by gentle zephyr
correctif.format.acronym-v1conf 98% · 2.1s · $0.002 · 56 tok
question
Take the third letter of each of these words, in order: zephyr, basalt, comet, cedar, 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: PSMDB
correctif.format.repeat-v1conf 100% · 2.2s · $0.002 · 53 tok
question
Write the word "comet" in capitalized form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: COMET-COMET-COMET-COMET-COMET-COMET-COMET-COMET
correctif.format.acronym-v1conf 99% · 2.8s · $0.002 · 63 tok
question
Take the third letter of each of these words, in order: basalt, cedar, tundra, orbit, falcon, drift. 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: SDNBLI
correctif.constraints.stack-v1conf 90% · 1.4s · $0.011 · 405 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "delta" and the last word must be "basalt".
3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: delta lights shimmer across the tundra streets, tundra winds hush the tundra skyline above cold dark basalt
correctif.format.repeat-v1conf 100% · 2.0s · $0.002 · 70 tok
question
Write the word "tundra" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRA/TUNDRA
correctif.constraints.stack-v1conf 92% · 1.7s · $0.011 · 412 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "delta" and the last word must be "quartz".
3. Use the word "flint" 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: delta streets glow as flint sparks flash above flint towers reflecting neon light across the shimmering quartz
correctif.format.acronym-v1conf 99% · 1.6s · $0.001 · 27 tok
question
Take the second letter of each of these words, in order: ember, delta, echo, comet, basalt, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: MECOAO
correctif.format.repeat-v1conf 99% · 1.2s · $0.002 · 45 tok
question
Write the word "comet" in capitalized form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: COMET/COMET/COMET/COMET/COMET/COMET
correctif.constraints.stack-v1conf 92% · 1.2s · $0.018 · 680 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "tundra" and the last word must be "comet".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra winds battered the old rusted machine, its falcon emblem faded, gears grinding like wounded falcon, still humming beneath stars bright as comet
correctif.format.acronym-v1conf 100% · 1.7s · $0.001 · 25 tok
question
Take the first letter of each of these words, in order: delta, ember, cedar, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DECL
correctif.format.repeat-v1conf 99% · 1.6s · $0.002 · 37 tok
question
Write the word "comet" in capitalized form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: COMET-COMET-COMET-COMET
correctif.constraints.stack-v1anchorconf 92% · 4.6s · $0.015 · 575 tok
model answer: drift through midnight streets where lumen after lumen paints wet pavement, each lumen a small heartbeat pulsing beneath skyscrapers locked in their silent orbit
correctif.format.acronym-v1conf 100% · 1.7s · $0.001 · 26 tok
question
Take the first letter of each of these words, in order: flint, echo, zephyr, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FEZT
correctif.format.repeat-v1anchorconf 100% · 1.6s · $0.002 · 61 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 5.9s · $0.002 · 69 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 2.4s · $0.001 · 28 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 7.9s · $0.001 · 33 tok
question
What is the author of "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.001 · 25 tok
question
Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 29 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% · 1.0s · $0.001 · 26 tok
question
Identify 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% · 1.5s · $0.001 · 26 tok
question
Identify the Brazilian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.001 · 32 tok
question
What is the writer of the novel "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% · 1.2s · $0.001 · 27 tok
question
What is the capital of Canada?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.001 · 26 tok
question
What is the Turkish capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.001 · 31 tok
question
Name the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 1.0s · $0.001 · 26 tok
question
Identify the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.001 · 25 tok
question
Name the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.001 · 27 tok
question
Name the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.001 · 27 tok
question
Name the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.001 · 25 tok
question
Identify the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 32 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% · 1.2s · $0.001 · 27 tok
question
Name the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 26 tok
question
What is the element whose symbol is Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 1.5s · $0.002 · 43 tok
question
What is the writer of the novel "One Hundred Years of Solitude"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 25 tok
question
What is the capital of Switzerland?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 26 tok
question
What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.001 · 25 tok
question
Name the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.001 · 26 tok
question
What is the element whose symbol is Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 26 tok
question
What is the capital of Turkey?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 1.2s · $0.001 · 26 tok
question
What is 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% · 1.8s · $0.001 · 25 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% · 1.2s · $0.001 · 31 tok
question
Name the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 1.3s · $0.001 · 31 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 1.6s · $0.001 · 27 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 1.6s · $0.001 · 26 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 1.4s · $0.001 · 25 tok
model answer: Lead
math 30/30 correct
correctmath.chained.pipeline-v1conf 100% · 2.4s · $0.004 · 134 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 32 × 70.
Step 2: Q = P × 5 − 777.
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: 1159
correctmath.counterfactual.base-v1conf 99% · 1.1s · $0.006 · 210 tok
question
Work strictly in base 9. Multiply the base-9 numbers 104 and 31. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3234
correctmath.algebra.system-v2conf 99% · 1.1s · $0.004 · 125 tok
question
Solve the system, then answer the derived question.

7x + 6y = -93
2x − 5y = 7

What is the value of 5x − 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: -35
correctmath.percent.chain-v2conf 99% · 1.2s · $0.003 · 68 tok
question
An inventory starts at 75000 units. The warehouse was painted 60 years ago. In the first month the inventory grows by 10%. The company was founded 102 kilometers from the port. The next month it shrinks by 40%, and the month after it grows by 6%. 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: 52470
correctmath.arith.chain-v2conf 99% · 1.2s · $0.003 · 108 tok
question
Calculate the following. Show your reasoning, then answer.

(((78 × 79 − 297) × 5 + 2949) − 97 × 62) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 105040
correctmath.counterfactual.base-v1conf 99% · 1.2s · $0.006 · 218 tok
question
Work strictly in base 7. Add the base-7 numbers 10123 and 6415. 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: 16541
correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.003 · 89 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 15 × 20.
Step 2: Q = P × 6 − 509.
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: 325
correctmath.percent.chain-v2conf 95% · 1.2s · $0.003 · 76 tok
question
An inventory starts at 54000 units. The company was founded 166 kilometers from the port. In the first month the inventory grows by 16%. The delivery van has a 165-liter fuel tank. The next month it shrinks by 21%, and the month after it grows by 12%. 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: 55423.87
correctmath.algebra.system-v2conf 100% · 1.2s · $0.004 · 117 tok
question
Solve the system, then answer the derived question.

8x + 2y = 166
5x − 9y = 32

What is the value of 6x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 79
correctmath.arith.chain-v2conf 99% · 1.4s · $0.003 · 89 tok
question
Compute the value of the following expression.

(((51 × 48 − 407) × 9 + 6797) − 61 × 87) × 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: 139013
correctmath.chained.pipeline-v1conf 100% · 1.6s · $0.004 · 113 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 45 × 47.
Step 2: Q = P × 8 − 616.
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: 4076
correctmath.counterfactual.base-v1conf 99% · 1.2s · $0.004 · 115 tok
question
Work strictly in base 8. Add the base-8 numbers 3546 and 3157. Give the result IN BASE 8.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 6725
correctmath.percent.chain-v2conf 98% · 1.7s · $0.003 · 97 tok
question
An inventory starts at 47000 units. The warehouse was painted 140 years ago. In the first month the inventory grows by 18%. The warehouse was painted 53 years ago. The next month it shrinks by 15%, and the month after it grows by 43%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 67411.63
correctmath.algebra.system-v2conf 99% · 1.3s · $0.004 · 129 tok
question
Solve the system, then answer the derived question.

8x + 9y = -404
2x − 4y = 124

What is the value of 4x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 68
correctmath.arith.chain-v2conf 99% · 1.4s · $0.003 · 108 tok
question
Evaluate the expression below and give the result.

(((59 × 56 − 136) × 5 + 9612) − 54 × 94) × 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: 142632
correctmath.arith.chain-v2conf 99% · 8.0s · $0.003 · 89 tok
question
Evaluate the expression below and give the result.

(((63 × 70 − 591) × 9 + 8376) − 72 × 74) × 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: 224514
correctmath.chained.pipeline-v1conf 100% · 1.2s · $0.004 · 114 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 39 × 71.
Step 2: Q = P × 5 − 772.
Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 4359
correctmath.counterfactual.base-v1conf 98% · 1.0s · $0.006 · 205 tok
question
Work strictly in base 7. Multiply the base-7 numbers 53 and 50. 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: 3610
correctmath.percent.chain-v2conf 95% · 2.2s · $0.003 · 76 tok
question
An inventory starts at 48000 units. The company was founded 90 kilometers from the port. In the first month the inventory grows by 39%. A rival firm shipped 125 unrelated parcels the same week. The next month it shrinks by 28%, and the month after it grows by 13%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 54283.39
correctmath.algebra.system-v2conf 100% · 1.2s · $0.004 · 117 tok
question
Solve the system, then answer the derived question.

5x + 3y = 137
2x − 6y = 170

What is the value of 5x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 265
correctmath.chained.pipeline-v1conf 100% · 1.4s · $0.003 · 94 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 60 × 36.
Step 2: Q = P × 3 − 651.
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: 974
correctmath.counterfactual.base-v1conf 100% · 1.9s · $0.007 · 258 tok
question
Work strictly in base 11. Add the base-11 numbers 334 and 82A. 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: 1063
correctmath.algebra.system-v2conf 99% · 6.1s · $0.004 · 147 tok
question
Solve the system, then answer the derived question.

5x + 9y = 336
8x − 2y = 62

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: -84
correctmath.percent.chain-v2conf 95% · 2.5s · $0.003 · 76 tok
question
An inventory starts at 27000 units. The company was founded 15 kilometers from the port. In the first month the inventory grows by 43%. Each pallet weighs about 123 grams more when wet. The next month it shrinks by 14%, 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: 38517.34
correctmath.arith.chain-v2conf 99% · 1.3s · $0.003 · 82 tok
question
Calculate the following. Show your reasoning, then answer.

(((86 × 30 − 312) × 6 + 4580) − 44 × 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: 59200
correctmath.chained.pipeline-v1conf 100% · 1.4s · $0.004 · 114 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 76 × 35.
Step 2: Q = P × 9 − 968.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2875
correctmath.counterfactual.base-v1anchorconf 100% · 2.0s · $0.007 · 268 tok
model answer: 11236
correctmath.percent.chain-v2anchorconf 98% · 2.2s · $0.003 · 97 tok
model answer: 61896.52
correctmath.algebra.system-v2anchorconf 100% · 1.3s · $0.004 · 133 tok
model answer: 87
correctmath.arith.chain-v2anchorconf 99% · 1.9s · $0.003 · 106 tok
model answer: 108153
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 99% · 1.3s · $0.002 · 35 tok
question
A number is written in French: « six cent huit ». Another is written in Spanish: « novecientos 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: -328
correctmultilingual.numword-v2conf 95% · 1.1s · $0.002 · 54 tok
question
Compute 212 + 61, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent soixante-treize
correctmultilingual.wordnum-v1conf 100% · 1.3s · $0.002 · 35 tok
question
A number is written in French: « quatre cent trente ». Another is written in Spanish: « ciento 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: 531
correctmultilingual.wordnum-v1conf 100% · 4.0s · $0.002 · 35 tok
question
A number is written in French: « soixante-dix-neuf ». Another is written in Spanish: « ciento dieciocho ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 197
correctmultilingual.numword-v2conf 95% · 1.8s · $0.001 · 31 tok
question
Compute 286 + 127, 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 trece
correctmultilingual.numword-v2conf 98% · 2.6s · $0.002 · 45 tok
question
Compute 207 + 221, 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 veintiocho
correctmultilingual.wordnum-v1conf 99% · 5.3s · $0.002 · 47 tok
question
A number is written in French: « cent vingt-sept ». Another is written in Spanish: « setecientos cincuenta 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: -624
correctmultilingual.wordnum-v1conf 100% · 1.3s · $0.002 · 37 tok
question
A number is written in French: « neuf cents ». Another is written in Spanish: « ciento setenta 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: 1075
correctmultilingual.numword-v2conf 95% · 1.4s · $0.002 · 50 tok
question
Compute 74 + 69, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cent quarante-trois
correctmultilingual.numword-v2conf 99% · 1.2s · $0.001 · 33 tok
question
Compute 469 + 203, 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 dos
correctmultilingual.wordnum-v1conf 100% · 1.3s · $0.001 · 24 tok
question
A number is written in French: « cent cinquante ». Another is written in Spanish: « doscientos ». 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: 350
correctmultilingual.numword-v2conf 98% · 1.2s · $0.002 · 68 tok
question
Compute 442 + 277, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: setecientos diecinueve
correctmultilingual.wordnum-v1conf 99% · 1.5s · $0.002 · 35 tok
question
A number is written in French: « soixante-deux ». Another is written in Spanish: « cuatrocientos treinta ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -368
correctmultilingual.numword-v2conf 99% · 1.2s · $0.002 · 46 tok
question
Compute 453 + 398, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos cincuenta y uno
correctmultilingual.wordnum-v1conf 99% · 1.0s · $0.002 · 35 tok
question
A number is written in French: « cent onze ». Another is written in Spanish: « seiscientos 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: -490
correctmultilingual.numword-v2conf 98% · 1.4s · $0.002 · 36 tok
question
Compute 217 + 266, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos ochenta y tres
correctmultilingual.wordnum-v1conf 99% · 1.5s · $0.002 · 35 tok
question
A number is written in French: « cinq cent quatre-vingts ». Another is written in Spanish: « trescientos dieciocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 262
correctmultilingual.numword-v2conf 95% · 1.5s · $0.002 · 50 tok
question
Compute 53 + 123, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cent soixante-seize
correctmultilingual.wordnum-v1conf 100% · 2.0s · $0.002 · 37 tok
question
A number is written in French: « neuf cent soixante-quatre ». Another is written in Spanish: « cuatrocientos veinte ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1384
correctmultilingual.numword-v2conf 99% · 1.3s · $0.002 · 47 tok
question
Compute 222 + 244, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos sesenta y seis
correctmultilingual.wordnum-v1conf 100% · 1.6s · $0.002 · 35 tok
question
A number is written in French: « sept cent quatre-vingts ». Another is written in Spanish: « ciento 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: 941
correctmultilingual.numword-v2conf 90% · 5.1s · $0.005 · 182 tok
question
Compute 478 + 302, 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-vingts
correctmultilingual.numword-v2conf 99% · 2.0s · $0.002 · 42 tok
question
Compute 414 + 246, 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
correctmultilingual.wordnum-v1conf 99% · 2.2s · $0.002 · 35 tok
question
A number is written in French: « huit cent dix-neuf ». Another is written in Spanish: « 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: 732
correctmultilingual.numword-v2conf 99% · 997ms · $0.002 · 36 tok
question
Compute 340 + 95, 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 treinta y cinco
correctmultilingual.wordnum-v1conf 100% · 1.3s · $0.002 · 35 tok
question
A number is written in French: « trois cent soixante-douze ». Another is written in Spanish: « cuatrocientos 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: 776
correctmultilingual.wordnum-v1anchorconf 100% · 1.6s · $0.002 · 35 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 90% · 1.0s · $0.002 · 67 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 99% · 1.2s · $0.002 · 68 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 98% · 1.3s · $0.002 · 41 tok
model answer: seiscientos ocho
reasoning 30/30 correct
correctreasoning.deduction.order-v2conf 98% · 3.9s · $0.010 · 334 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Bruno is taller than Goran. Tessa is taller than Kira. Emil is faster than everyone here, but Emil is not being ranked. Kira is taller than Mona. Bruno is taller than Mona. Tessa is taller than Nadir. Goran is taller than Kira. Farah is taller than Tessa. Nadir is taller than Bruno. Tessa is taller than Mona. 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: Tessa
correctreasoning.deduction.position-v1conf 95% · 1.8s · $0.003 · 94 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Priya. Sami is number 2 in the queue. Quinn 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: Goran
correctreasoning.deduction.position-v1conf 100% · 2.0s · $0.003 · 77 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Dara. Ola is number 1 in the queue. Kira is directly ahead of Nadir. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Dara
correctreasoning.deduction.order-v2conf 98% · 1.1s · $0.003 · 67 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Nadir is older than Bruno. Hana is older than Nadir. Nadir is older than Sami. Priya is older than Hana. Chen is older than Priya. Mona is taller than everyone here, but Mona is not being ranked. Nadir is older than Sami. Ola is older than Chen. Bruno is older than Sami. Nadir is older than Sami. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 98% · 1.4s · $0.006 · 180 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Alice. Jonas is heavier than Chen. Emil is heavier than Chen. Alice is heavier than Farah. Ines is faster than everyone here, but Ines is not being ranked. Jonas is heavier than Priya. Chen is heavier than Priya. Emil is heavier than Jonas. Farah is heavier than Dara. Priya is heavier than Farah. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.position-v1conf 100% · 1.2s · $0.002 · 53 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Jonas. Emil is number 2 in the queue. Bruno is directly ahead of Emil. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.position-v1conf 100% · 1.1s · $0.002 · 51 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Priya. Liam is number 1 in the queue. Rosa is directly ahead of Alice. 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: Priya
correctreasoning.deduction.order-v2conf 95% · 993ms · $0.007 · 235 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Hana. Emil is taller than Sami. Alice is taller than Hana. Alice is taller than Liam. Nadir is heavier than everyone here, but Nadir is not being ranked. Sami is taller than Alice. Liam is taller than Hana. Chen is taller than Emil. Mona is taller than Chen. Mona is taller than Sami. 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% · 1.2s · $0.002 · 52 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 1 in the queue. Ola is directly ahead of Nadir. Nadir is directly ahead of Alice. 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: Nadir
correctreasoning.deduction.order-v2conf 95% · 1.8s · $0.004 · 125 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Hana. Ines is taller than Chen. Chen is taller than Sami. Ola is taller than Chen. Emil is taller than Ines. Sami is taller than Quinn. Ines is taller than Sami. Chen is taller than Quinn. Priya is faster than everyone here, but Priya is not being ranked. Hana is taller than Ola. 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: Hana
correctreasoning.deduction.order-v2conf 95% · 2.6s · $0.009 · 317 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Alice. Dara is heavier than Farah. Sami is heavier than Mona. Emil is taller than everyone here, but Emil is not being ranked. Jonas is heavier than Sami. Alice is heavier than Jonas. Mona is heavier than Farah. Dara is heavier than Mona. Bruno is heavier than Mona. Bruno is heavier than Dara. 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% · 969ms · $0.001 · 25 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Priya. Priya is number 2 in the queue. Ines is directly ahead of Hana. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.order-v2conf 95% · 3.0s · $0.005 · 150 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ines is heavier than Ola. Liam is heavier than Ines. Ola is heavier than Quinn. Ines is heavier than Quinn. Jonas is heavier than Liam. Jonas is heavier than Sami. Goran is taller than everyone here, but Goran is not being ranked. Tessa is heavier than Liam. Sami is heavier than Liam. Sami is heavier than Tessa. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 99% · 1.2s · $0.003 · 82 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Quinn. Sami is directly ahead of Farah. Quinn is number 2 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.order-v2conf 98% · 1.0s · $0.008 · 258 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Liam. Jonas is heavier than Hana. Hana is heavier than Ola. Dara is heavier than Bruno. Bruno is heavier than Ola. Dara is heavier than Jonas. Ines is heavier than Liam. Ola is heavier than Ines. Hana is heavier than Bruno. Goran is taller than everyone here, but Goran 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: Hana
correctreasoning.deduction.position-v1conf 100% · 985ms · $0.002 · 51 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Ola. Chen is number 1 in the queue. Jonas is directly ahead of Kira. 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: Kira
correctreasoning.deduction.position-v1conf 100% · 2.6s · $0.002 · 25 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Bruno. Rosa is number 4 in the queue. Bruno is directly ahead of Rosa. Liam is directly ahead of Emil. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
correctreasoning.deduction.order-v2conf 99% · 5.1s · $0.008 · 258 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Ola. Tessa is taller than Ola. Rosa is taller than Farah. Jonas is taller than Tessa. Jonas is taller than Ola. Nadir is taller than Ines. Jonas is taller than Ola. Farah is taller than Nadir. Ines is taller than Jonas. Alice is older than everyone here, but Alice is not being ranked. 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: Jonas
correctreasoning.deduction.order-v2conf 98% · 1.2s · $0.006 · 179 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Alice. Rosa is taller than everyone here, but Rosa is not being ranked. Ola is heavier than Farah. Jonas is heavier than Alice. Farah is heavier than Emil. Sami is heavier than Alice. Jonas is heavier than Sami. Alice is heavier than Mona. Jonas is heavier than Alice. Emil is heavier than Jonas. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
correctreasoning.deduction.position-v1conf 95% · 3.9s · $0.003 · 84 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Bruno. Kira is number 2 in the queue. Emil is directly ahead of Kira. 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
correctreasoning.deduction.position-v1conf 99% · 1.6s · $0.003 · 74 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Jonas. Liam is number 3 in the queue. Jonas 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: Jonas
correctreasoning.deduction.order-v2conf 100% · 1.2s · $0.009 · 305 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is faster than Kira. Farah is faster than Dara. Sami is faster than Kira. Alice is faster than Ines. Sami is faster than Alice. Quinn is taller than everyone here, but Quinn is not being ranked. Nadir is faster than Sami. Alice is faster than Farah. Kira is faster than Ines. Dara 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: Farah
correctreasoning.deduction.order-v2conf 98% · 1.3s · $0.009 · 319 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Farah. Farah is faster than Chen. Kira is heavier than everyone here, but Kira is not being ranked. Rosa is faster than Sami. Rosa is faster than Priya. Priya is faster than Mona. Mona is faster than Sami. Rosa is faster than Dara. Chen is faster than Dara. Farah is faster than Dara. 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: Priya
correctreasoning.deduction.position-v1conf 99% · 1.1s · $0.003 · 68 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Ola. Chen is directly ahead of Priya. Priya is number 2 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 1.6s · $0.001 · 26 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 3 in the queue. Ola is directly ahead of Mona. Jonas is directly ahead of Ola. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
correctreasoning.deduction.order-v2conf 99% · 1.3s · $0.006 · 208 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is older than Chen. Kira is heavier than everyone here, but Kira is not being ranked. Emil is older than Chen. Bruno is older than Rosa. Emil is older than Jonas. Chen is older than Quinn. Rosa is older than Chen. Chen is older than Priya. Quinn is older than Priya. Rosa is older than Emil. 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-v1anchorconf 100% · 1.1s · $0.002 · 43 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 98% · 2.2s · $0.010 · 350 tok
model answer: Mona
correctreasoning.deduction.order-v2anchorconf 95% · 2.0s · $0.003 · 70 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 95% · 1.7s · $0.002 · 66 tok
model answer: Farah
terminal 28/30 correct
correctterminal.fs.tree-v1conf 95% · 1.1s · $0.019 · 664 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/logs`):

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

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

```sh
mv assets/todo.cfg ./
cd build
mv ../../proj/setup.log ../../proj/notes-6.log
cp ../../proj/todo.cfg ./
mv ../../proj/assets/main.txt ../../proj/assets/util-7.md
mkdir -p ../../proj/assets-5
cd ../../proj
mv build/todo.cfg build/util-8.log
rm todo.cfg
cd assets
touch ../../proj/build/draft-3.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/index.txt /proj/assets/util-7.md /proj/build/draft-3.md /proj/build/util-8.log /proj/notes-6.log /proj/notes.log
correctterminal.exit.chain-v1conf 98% · 1.3s · $0.003 · 34 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f ghost.txt && echo A || echo B
test -f tmp.txt && echo C || echo D
test -f data.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% · 1.5s · $0.015 · 514 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/docs`, `/proj/src`):

```
/proj/docs/main.log
/proj/docs/setup.log
/proj/docs/util.log
/proj/index.log
/proj/notes.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 assets/conf-5
rm notes.md
rm docs/setup.log
cd assets/conf-5
mkdir -p ../../../proj/assets/logs-3
mv ../../../proj/docs/main.log ../../../proj/docs/draft-7.txt
mv ../../../proj/docs/util.log ./
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/conf-5/util.log /proj/docs/draft-7.txt /proj/index.log
correctterminal.pipeline.predict-v1conf 98% · 1.2s · $0.005 · 125 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,ops,102,40
hal,eng,78,60
bo,ops,55,10
eli,legal,20,97
jon,sales,95,14
kim,sales,106,96
cy,eng,43,33
ivy,sales,71,17
gus,ops,89,28
lou,ops,63,79
max,hr,41,44
fay,hr,106,24
oli,sales,17,43
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: jon,sales,95,14 kim,sales,106,96
correctterminal.exit.chain-v1conf 95% · 1.3s · $0.002 · 31 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E exit:1
correctterminal.fs.tree-v1conf 98% · 1.8s · $0.019 · 686 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/docs`, `/proj/logs`):

```
/proj/assets/report.log
/proj/docs/setup.md
/proj/logs/notes.log
/proj/todo.log
/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
mkdir -p assets/build-4
mv util.txt assets/build-4/
mkdir -p assets/conf-9
touch logs/index-6.md
touch assets/setup-3.cfg
rm todo.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/build-4/util.txt /proj/assets/report.log /proj/assets/setup-3.cfg /proj/docs/setup.md /proj/logs/index-6.md /proj/logs/notes.log
correctterminal.pipeline.predict-v1conf 98% · 1.2s · $0.004 · 103 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,sales,49,68
gus,sales,60,15
oli,ops,108,38
kim,sales,21,58
lou,sales,108,43
dev,sales,6,47
ivy,sales,24,47
pam,legal,47,15
hal,sales,61,97
ned,sales,103,34
fay,sales,106,20
ana,ops,55,29
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,55 oli,108
correctterminal.exit.chain-v1conf 95% · 1.0s · $0.003 · 31 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E exit:1
correctterminal.pipeline.predict-v1conf 98% · 2.4s · $0.004 · 99 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,ops,51,21
oli,eng,5,73
jon,legal,92,90
fay,ops,97,77
ned,legal,104,33
kim,hr,45,20
ana,legal,93,39
bo,sales,76,17
eli,legal,76,75
lou,hr,74,58
pam,hr,77,98
ivy,eng,60,73
max,legal,12,91
```

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: oli,eng,5,73 ivy,eng,60,73
correctterminal.fs.tree-v1conf 90% · 1.5s · $0.014 · 487 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/src`):

```
/proj/assets/draft.md
/proj/assets/index.txt
/proj/assets/setup.log
/proj/report.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
mkdir -p src-1
mv assets/draft.md assets/
rm assets/draft.md
rm todo.txt
cp assets/setup.log ./
cd .
cp report.md src-1/
rm report.md
cd src
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/index.txt /proj/assets/setup.log /proj/setup.log /proj/src-1/report.md
correctterminal.exit.chain-v1conf 98% · 1.1s · $0.003 · 36 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F H Z exit:0
correctterminal.fs.tree-v1conf 95% · 2.6s · $0.020 · 690 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/conf`, `/proj/assets`):

```
/proj/assets/index.txt
/proj/assets/notes.cfg
/proj/docs/main.cfg
/proj/draft.txt
/proj/todo.md
```

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

```sh
mv assets/notes.cfg assets/util-9.log
cd .
mkdir -p assets/logs-9
cp todo.md assets/
cd assets
rm index.txt
cp ../../proj/todo.md ./
cd logs-9
mv ../../../proj/assets/util-9.log ../../../proj/assets/draft-3.cfg
mv ../../../proj/draft.txt ./
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft-3.cfg /proj/assets/logs-9/draft.txt /proj/assets/todo.md /proj/docs/main.cfg /proj/todo.md
correctterminal.pipeline.predict-v1conf 99% · 1.4s · $0.003 · 56 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,sales,119,92
dev,eng,43,60
bo,eng,56,11
eli,legal,50,43
kim,ops,77,94
ned,sales,51,36
max,hr,71,37
jon,ops,98,12
lou,ops,99,42
hal,ops,115,56
oli,hr,75,62
ana,eng,9,82
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' 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 95% · 1.3s · $0.003 · 31 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E exit:1
wrongterminal.pipeline.predict-v1conf 95% · 1.6s · $0.003 · 46 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,hr,79,57
bo,legal,56,60
ivy,hr,106,58
max,hr,110,47
pam,sales,108,60
fay,legal,103,13
cy,sales,102,36
ned,eng,70,17
ana,hr,116,68
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 59 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 96% · 1.1s · $0.013 · 457 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/draft.log
/proj/assets/report.cfg
/proj/assets/util.md
/proj/notes.cfg
/proj/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
rm assets/util.md
cp assets/report.cfg logs/
rm notes.cfg
cd assets
cp ../../proj/setup.txt ../../proj/src/
rm draft.log
mkdir -p logs-3
cd ../../proj/logs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report.cfg /proj/logs/report.cfg /proj/setup.txt /proj/src/setup.txt
correctterminal.exit.chain-v1conf 98% · 1.6s · $0.003 · 36 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E H Z exit:0
correctterminal.fs.tree-v1conf 95% · 1.0s · $0.026 · 970 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`):

```
/proj/assets/todo.log
/proj/docs/index.md
/proj/docs/setup.md
/proj/draft.txt
/proj/notes.txt
```

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

```sh
cp draft.txt build/
touch build/util-6.cfg
touch main-2.log
mv notes.txt docs/
mkdir -p assets-5
rm docs/setup.md
cd build
touch ../../proj/assets-5/report-1.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets-5/report-1.cfg /proj/assets/todo.log /proj/build/draft.txt /proj/build/util-6.cfg /proj/docs/index.md /proj/docs/notes.txt /proj/draft.txt /proj/main-2.log
correctterminal.pipeline.predict-v1conf 98% · 2.1s · $0.005 · 141 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,sales,85,33
ivy,eng,60,34
ned,eng,112,15
gus,sales,110,54
lou,eng,17,71
kim,hr,103,71
max,sales,33,45
ana,hr,85,87
dev,hr,86,76
cy,legal,54,89
eli,sales,51,32
jon,sales,60,76
pam,legal,54,28
oli,legal,60,90
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: bo,sales,85,33 gus,sales,110,54
correctterminal.exit.chain-v1conf 98% · 1.4s · $0.003 · 34 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E Z exit:0
wrongterminal.pipeline.predict-v1conf 95% · 1.8s · $0.003 · 59 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,ops,30,33
hal,legal,19,64
cy,hr,43,10
max,sales,90,39
gus,eng,60,70
pam,hr,113,72
lou,eng,15,17
jon,sales,71,43
kim,sales,45,16
oli,sales,36,51
ana,eng,60,57
dev,eng,98,51
ned,sales,72,67
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 76 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 97% · 995ms · $0.018 · 635 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/logs`):

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

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

```sh
mv setup.log assets/
cd assets
mv ../../proj/draft.txt ../../proj/logs/
cd ../../proj/logs
rm ../../proj/assets/setup.log
cp ../../proj/assets/main.md ../../proj/conf/
cp ../../proj/conf/todo.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/assets/main.md /proj/assets/util.log /proj/conf/main.md /proj/conf/todo.md /proj/logs/draft.txt /proj/logs/todo.md
correctterminal.exit.chain-v1conf 95% · 1.3s · $0.004 · 85 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E H exit:1
correctterminal.fs.tree-v1conf 95% · 1.9s · $0.021 · 734 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/src`):

```
/proj/assets/index.cfg
/proj/assets/report.md
/proj/build/notes.log
/proj/draft.log
/proj/util.log
```

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/index.cfg /proj/assets/todo-3.md /proj/build/notes.log /proj/build/report-7.md /proj/src/report-7.md /proj/util.log
correctterminal.pipeline.predict-v1conf 98% · 1.2s · $0.005 · 126 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,ops,63,45
max,eng,96,32
dev,sales,56,54
gus,legal,86,24
jon,hr,63,42
hal,sales,65,54
ana,ops,98,68
kim,hr,42,74
oli,hr,73,53
pam,sales,77,73
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: kim,hr,42,74 jon,hr,63,42 oli,hr,73,53
correctterminal.exit.chain-v1conf 98% · 1.6s · $0.003 · 36 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F H Z exit:0
correctterminal.pipeline.predict-v1anchorconf 98% · 1.7s · $0.005 · 117 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.fs.tree-v1anchorconf 98% · 1.4s · $0.018 · 632 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
correctterminal.exit.chain-v1anchorconf 95% · 1.3s · $0.005 · 130 tok
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1anchorconf 98% · 1.6s · $0.003 · 52 tok
model answer: 1
vision ocr 30/30 correct
correctvision.ocr.code-hunt-v1conf 95% · 4.3s · $0.005 · 29 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: 99WFWR39
correctvision.ocr.table-read-v1conf 100% · 1.5s · $0.005 · 24 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: 89
correctvision.ocr.table-read-v1conf 100% · 2.0s · $0.005 · 24 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: 79
correctvision.ocr.code-hunt-v1conf 98% · 1.8s · $0.005 · 29 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: VWJ79EW
correctvision.ocr.table-read-v1conf 98% · 2.2s · $0.006 · 35 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: 142
correctvision.ocr.table-read-v1conf 98% · 5.1s · $0.005 · 24 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: 70
correctvision.ocr.code-hunt-v1conf 98% · 2.1s · $0.005 · 30 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: CEHXE9J4
correctvision.ocr.code-hunt-v1conf 99% · 2.3s · $0.005 · 30 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: UVCHNRXK
correctvision.ocr.table-read-v1conf 98% · 2.2s · $0.005 · 24 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the SUM 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: 40
correctvision.ocr.code-hunt-v1conf 95% · 1.6s · $0.005 · 28 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. 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: V4D74HC
correctvision.ocr.code-hunt-v1conf 98% · 7.3s · $0.005 · 29 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: YDREEDF3
correctvision.ocr.code-hunt-v1conf 98% · 3.3s · $0.005 · 27 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. 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: DJ937D
correctvision.ocr.table-read-v1conf 98% · 2.0s · $0.005 · 24 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: 15
correctvision.ocr.table-read-v1conf 98% · 2.1s · $0.006 · 33 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: 167
correctvision.ocr.table-read-v1conf 95% · 2.2s · $0.005 · 24 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: 86
correctvision.ocr.code-hunt-v1conf 95% · 2.2s · $0.005 · 31 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: 3XNNFM9R
correctvision.ocr.table-read-v1conf 99% · 1.5s · $0.006 · 31 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: 105
correctvision.ocr.code-hunt-v1conf 95% · 2.2s · $0.005 · 28 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. 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: NETTPP3
correctvision.ocr.table-read-v1conf 98% · 2.5s · $0.005 · 24 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: 67
correctvision.ocr.code-hunt-v1conf 95% · 1.9s · $0.005 · 30 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: 7HMPRX7
correctvision.ocr.table-read-v1conf 95% · 1.8s · $0.005 · 24 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: 90
correctvision.ocr.code-hunt-v1conf 98% · 3.1s · $0.005 · 28 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: MNXF7K
correctvision.ocr.table-read-v1conf 98% · 3.3s · $0.005 · 24 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: 25
correctvision.ocr.code-hunt-v1conf 95% · 6.6s · $0.005 · 28 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: V4CJUT
correctvision.ocr.code-hunt-v1conf 98% · 2.2s · $0.005 · 28 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. 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: RVAPKW
correctvision.ocr.table-read-v1conf 98% · 1.7s · $0.005 · 24 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: 33
correctvision.ocr.code-hunt-v1anchorconf 98% · 6.7s · $0.005 · 27 tok
model answer: VX7993D
correctvision.ocr.table-read-v1anchorconf 98% · 2.9s · $0.005 · 24 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 90% · 6.3s · $0.005 · 30 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 95% · 2.0s · $0.005 · 24 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit804
  • 2026-08-05v0.2.0index_fit804
  • 2026-08-05v0.2.0index_fit807
  • 2026-08-05v0.2.0index_fit807
  • 2026-08-05v0.2.0index_fit807
  • 2026-08-05v0.2.0index_fit807
  • 2026-08-05v0.2.0index_fit806
  • 2026-08-05v0.2.0index_fit806
  • 2026-08-05v0.2.0index_fit806
  • 2026-08-05v0.2.0index_fit806
  • 2026-08-05v0.2.0index_fit792
  • 2026-08-05v0.2.0index_fit792
  • 2026-08-05v0.2.0index_fit792
  • 2026-08-05v0.2.0index_fit792
  • 2026-08-05v0.2.0index_fit792
  • 2026-08-05v0.2.0index_fit794
  • 2026-08-05v0.2.0index_fit794
  • 2026-08-05v0.2.0index_fit789
  • 2026-08-05v0.2.0index_fit790
  • 2026-08-05v0.2.0index_fit792