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anthropic logoAnthropic: Claude Opus 4.6

anthropic/claude-opus-4.6 · anthropic · context 1 000 000 · in $5.00/1M · out $25.00/1M

Global Index

823

95% CI [776870] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic906 [816996]
0.8461.000.980.0002.1s$15.32
code875 [756993]
0.7970.980.990.0001.9s$13.94
instruction following846 [719972]
0.7870.830.990.0002.2s$4.26
knowledge730 [557902]
0.5511.000.990.0002.0s$0.776
math813 [659966]
0.6940.980.990.0002.0s$6.47
multilingual825 [663986]
0.7101.000.990.0001.8s$1.69
reasoning790 [641939]
0.7050.980.980.0382.0s$6.50
terminal903 [811996]
0.8421.000.990.0002.0s$13.05
vision ocr718 [548887]
0.5341.000.970.0002.4s$5.26

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 99% · 1.5s · $0.017 · 587 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $390
- lima: $506
- kilo: $227

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $328 from "tango" to "kilo"
2. pay $405 from "lima" to "tango"
3. pay $250 from "lima" to "kilo"
4. pay $397 from "kilo" to "lima"
5. pay $270 from "lima" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 328}}, {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 405}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 149}}, {"tool": "transfer", "args": {"from": "lima", "to": "kilo", "amount": 250}}, {"tool": "transfer", "args": {"from": "kilo", "to": "lima", "amount": 397}}, {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 270}} ]
correctagentic.tools.context-load-v1conf 99% · 2.3s · $0.029 · 418 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 (243 records, format: id|customer|region|item|qty|status):
```
2149|harbor|east|rotor|59|paid
1411|gale|south|panel|33|shipped
2052|gale|south|gasket|43|held
1438|fulton|south|panel|66|pending
1795|acme|south|cable|19|paid
1517|cobalt|east|pump|96|paid
1953|harbor|east|frame|98|paid
2160|ember|west|rotor|26|held
1810|juno|south|gasket|13|shipped
1257|gale|south|rotor|52|pending
1605|harbor|north|pump|55|shipped
1747|acme|east|frame|22|paid
2036|gale|north|pump|40|paid
2090|acme|north|rotor|78|shipped
1270|gale|south|gasket|40|pending
1652|fulton|south|sensor|38|held
1572|fulton|west|frame|49|held
1237|gale|south|sensor|48|pending
1560|acme|north|sensor|63|paid
1403|ember|north|sensor|46|held
1971|ember|north|valve|89|paid
1483|ionic|east|panel|25|held
2087|juno|south|gasket|36|shipped
1312|gale|north|gasket|89|held
2011|acme|east|panel|99|pending
1868|dorian|east|sensor|36|held
1658|ember|north|gasket|52|shipped
1279|gale|south|panel|95|pending
1538|acme|west|rotor|28|pending
1634|ionic|west|pump|92|pending
1323|dorian|south|pump|17|pending
1559|fulton|east|pump|73|shipped
1419|gale|south|sensor|39|pending
2007|gale|west|panel|65|paid
1806|harbor|north|pump|15|paid
1830|cobalt|west|cable|60|shipped
1418|ionic|west|cable|35|paid
1680|harbor|east|valve|51|paid
1901|cobalt|west|sensor|47|pending
1241|gale|east|valve|83|pending
2138|fulton|east|rotor|14|paid
1982|dorian|south|panel|95|paid
2165|ember|east|gasket|12|held
1910|ionic|south|gasket|76|shipped
1484|birch|north|gasket|36|held
1611|cobalt|west|panel|24|shipped
2079|ionic|east|rotor|63|shipped
2102|fulton|east|cable|33|shipped
1643|acme|west|pump|51|paid
1493|harbor|west|gasket|14|held
2018|harbor|north|rotor|31|held
1913|dorian|west|rotor|30|held
1578|juno|north|cable|87|paid
1268|gale|south|cable|59|paid
1278|gale|south|valve|73|held
1705|harbor|west|sensor|29|held
2027|harbor|west|rotor|30|pending
1618|dorian|east|rotor|29|pending
1926|fulton|east|pump|74|held
2073|ember|north|valve|68|held
2132|harbor|north|rotor|69|held
1732|gale|north|frame|87|shipped
1668|cobalt|east|rotor|70|held
1397|birch|east|valve|41|held
1314|juno|north|rotor|19|pending
1244|gale|south|panel|22|pending
1930|fulton|west|rotor|18|paid
1380|harbor|north|frame|53|held
1629|ember|north|frame|96|pending
1662|ember|south|rotor|16|shipped
1502|ionic|east|panel|17|pending
1706|acme|south|gasket|46|pending
1852|juno|east|panel|85|shipped
1769|fulton|west|pump|23|shipped
1686|cobalt|south|panel|71|shipped
1779|ionic|north|gasket|89|paid
1975|birch|west|sensor|57|paid
1835|harbor|south|sensor|89|paid
1624|fulton|east|rotor|79|shipped
1516|ember|west|valve|46|paid
1778|ionic|south|panel|63|pending
1815|fulton|south|panel|94|paid
1603|gale|west|rotor|61|pending
2010|cobalt|west|sensor|99|pending
1646|gale|north|frame|64|shipped
1525|acme|west|panel|38|shipped
1639|cobalt|south|pump|20|pending
1874|juno|south|valve|54|paid
1356|juno|east|pump|47|paid
1377|acme|west|sensor|16|shipped
1907|juno|north|pump|36|pending
1355|acme|west|sensor|67|shipped
1947|birch|east|valve|31|shipped
1862|fulton|west|gasket|47|paid
1273|gale|west|sensor|31|pending
1580|gale|west|frame|23|shipped
2126|juno|east|panel|68|held
2040|ember|east|rotor|23|shipped
1370|ember|west|frame|76|pending
1673|fulton|east|cable|49|held
2113|ionic|west|frame|15|shipped
1800|juno|west|frame|90|pending
1689|ember|south|sensor|24|paid
1568|gale|west|cable|16|paid
1941|ember|west|valve|89|paid
2162|juno|west|panel|70|held
1745|cobalt|north|gasket|83|paid
1735|ember|west|frame|14|held
1985|fulton|east|panel|14|held
1664|harbor|north|frame|64|held
1542|ember|north|panel|48|held
1949|acme|east|sensor|20|pending
1324|fulton|north|panel|83|held
2170|ember|west|valve|48|paid
2045|ionic|east|cable|53|held
1856|fulton|south|panel|29|held
1768|birch|south|rotor|13|paid
1337|dorian|west|gasket|71|paid
1917|ember|north|sensor|67|pending
1566|gale|north|pump|22|held
1869|acme|east|cable|24|held
1819|ionic|east|gasket|92|held
2173|harbor|north|gasket|85|paid
2135|ionic|south|frame|80|pending
2144|harbor|south|frame|66|shipped
1432|dorian|north|pump|64|held
1331|harbor|south|sensor|52|pending
1797|acme|west|sensor|42|paid
1912|gale|east|sensor|63|held
1478|juno|west|gasket|33|paid
1899|juno|east|panel|15|paid
1710|ember|south|valve|63|held
1305|fulton|east|gasket|36|paid
2058|birch|west|sensor|79|paid
1716|fulton|north|frame|69|shipped
2139|juno|east|rotor|36|pending
2164|cobalt|south|rotor|42|shipped
2085|ember|east|gasket|88|held
1466|acme|north|panel|33|pending
1847|cobalt|south|panel|25|pending
1887|birch|south|gasket|23|shipped
1367|ember|south|rotor|83|paid
1607|juno|north|rotor|15|shipped
1508|juno|north|valve|55|pending
2063|dorian|north|valve|40|paid
2145|fulton|north|cable|21|pending
1555|fulton|north|rotor|54|shipped
1587|juno|east|pump|81|pending
1895|cobalt|west|panel|21|pending
1681|cobalt|east|pump|85|shipped
1390|gale|south|pump|16|shipped
1250|gale|south|sensor|58|paid
2109|cobalt|west|gasket|30|shipped
1959|dorian|south|panel|61|pending
1319|juno|north|sensor|69|pending
1598|juno|east|cable|79|shipped
1292|gale|north|pump|36|pending
1606|harbor|south|frame|43|held
2029|juno|north|pump|67|paid
1738|acme|west|rotor|59|paid
1445|harbor|north|cable|17|pending
1548|ember|south|panel|96|held
1626|juno|west|sensor|82|paid
1818|birch|south|sensor|74|shipped
2004|ionic|west|panel|64|paid
1407|gale|north|pump|92|shipped
1991|ionic|north|pump|60|paid
1534|birch|north|frame|79|shipped
1446|gale|north|panel|24|paid
2096|ionic|south|frame|57|held
1471|acme|west|rotor|53|pending
1465|juno|south|pump|21|shipped
1439|dorian|north|valve|48|pending
1520|fulton|west|gasket|49|shipped
1500|harbor|north|panel|53|pending
1383|harbor|east|cable|52|pending
2148|juno|south|sensor|36|paid
1921|cobalt|north|rotor|39|held
1529|harbor|north|sensor|31|pending
1983|ember|north|gasket|42|held
1381|ember|east|cable|54|held
1642|birch|east|sensor|32|shipped
1295|fulton|north|rotor|53|shipped
2136|ember|north|gasket|84|pending
1594|harbor|north|pump|16|paid
1463|harbor|east|gasket|81|held
2002|juno|north|rotor|98|shipped
1721|birch|east|frame|62|shipped
2168|ionic|east|gasket|51|shipped
2081|cobalt|west|gasket|24|shipped
1791|ionic|west|pump|86|pending
1928|acme|west|pump|45|paid
1369|acme|south|frame|29|paid
2091|harbor|south|rotor|50|shipped
1470|ionic|south|rotor|25|shipped
1880|birch|east|rotor|11|paid
1744|gale|south|rotor|69|held
2066|dorian|north|sensor|25|held
1280|gale|east|pump|80|pending
1485|dorian|north|panel|28|paid
1298|ember|west|cable|20|pending
1467|ionic|east|sensor|40|paid
1350|dorian|west|panel|54|shipped
1461|dorian|north|pump|43|paid
1459|birch|north|gasket|34|pending
1242|gale|south|pump|37|paid
1893|fulton|north|valve|34|held
1569|birch|south|cable|17|held
1695|birch|south|sensor|34|paid
1763|birch|east|frame|53|paid
2013|dorian|east|pump|39|paid
1509|cobalt|south|panel|26|held
2156|fulton|south|cable|15|held
1770|juno|north|rotor|69|shipped
1426|harbor|north|valve|55|shipped
2088|juno|west|frame|95|paid
1760|dorian|south|sensor|53|pending
1286|gale|south|frame|84|paid
2125|acme|south|panel|63|pending
1491|cobalt|north|valve|44|pending
1700|juno|west|gasket|65|shipped
1361|harbor|west|rotor|66|shipped
1777|acme|west|pump|82|paid
1264|gale|west|cable|84|pending
1344|ionic|west|frame|42|held
1727|harbor|south|panel|30|shipped
1837|juno|south|sensor|20|shipped
1902|gale|east|frame|58|pending
2022|fulton|south|pump|39|held
1453|fulton|south|pump|24|held
2179|fulton|east|pump|95|held
1995|ember|west|valve|18|paid
1786|dorian|east|frame|88|shipped
1676|ember|east|rotor|66|paid
1841|birch|north|panel|51|held
1247|gale|west|rotor|71|pending
1937|birch|west|pump|15|shipped
1753|dorian|south|gasket|58|held
1479|acme|west|cable|64|paid
1826|ember|east|panel|82|held
1966|acme|east|panel|65|paid
2118|juno|south|pump|29|paid
1825|ember|east|pump|63|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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": "sensor", "qty": 48}}, {"tool": "cancel_order", "args": {"order_id": 1244}}, {"tool": "restock", "args": {"item": "rotor", "qty": 52}}, {"tool": "cancel_order", "args": {"order_id": 1270}}, {"tool": "restock", "args": {"item": "panel", "qty": 95}}, {"tool": "cancel_order", "args": {"order_id": 1419}} ]
correctagentic.tools.triage-v1conf 97% · 2.5s · $0.010 · 282 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:
- payments → tanaka
- data → dubois
- auth → haddad

INCIDENTS:
1. "invoice total wrong" (category: payments, priority 4)
2. "records missing after import" (category: data, priority 6)
3. "cannot reset password" (category: auth, priority 9)
4. "records missing after import" (category: data, 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": "invoice total wrong", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 99% · 1.5s · $0.009 · 278 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 99% · 1.7s · $0.017 · 586 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: $604
- lima: $484
- oscar: $295

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $361 from "bravo" to "lima"
2. pay $362 from "lima" to "oscar"
3. pay $451 from "lima" to "bravo"
4. pay $444 from "oscar" to "bravo"
5. pay $523 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": "bravo", "to": "lima", "amount": 361}}, {"tool": "transfer", "args": {"from": "lima", "to": "oscar", "amount": 362}}, {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 444}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 310}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 523}} ]
correctagentic.tools.context-load-v1conf 99% · 2.1s · $0.034 · 554 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 (268 records, format: id|customer|region|item|qty|status):
```
1815|cobalt|north|cable|43|paid
1743|juno|west|panel|12|pending
1191|ember|east|sensor|18|held
1551|cobalt|west|panel|50|pending
1946|cobalt|north|gasket|70|pending
1586|juno|east|panel|11|held
1329|juno|north|pump|76|paid
1575|harbor|north|sensor|72|paid
1891|cobalt|east|rotor|69|pending
2032|ionic|south|gasket|28|paid
2063|ember|south|sensor|97|pending
1729|gale|west|valve|11|shipped
1311|birch|north|rotor|34|shipped
2182|fulton|west|sensor|64|pending
1530|ember|east|valve|97|held
2020|harbor|south|pump|12|pending
1565|acme|north|pump|83|pending
1628|ember|west|sensor|69|pending
1180|ionic|east|pump|54|pending
1757|gale|west|frame|72|pending
1884|ionic|north|cable|38|shipped
1592|ember|east|rotor|90|pending
2230|ember|north|valve|75|pending
2076|acme|west|cable|75|paid
1182|ionic|west|valve|75|paid
2218|dorian|west|frame|96|shipped
2198|harbor|north|cable|75|held
1199|ember|east|pump|38|pending
2075|harbor|north|panel|78|shipped
1426|fulton|south|pump|88|shipped
1711|harbor|east|valve|60|shipped
1443|harbor|east|panel|51|shipped
1980|juno|east|frame|74|pending
1736|gale|west|sensor|32|paid
1291|ionic|east|gasket|72|pending
1825|fulton|east|pump|10|shipped
1771|acme|south|gasket|51|pending
1932|birch|west|pump|88|pending
1468|cobalt|south|sensor|61|paid
1155|ionic|west|valve|51|pending
1481|gale|south|sensor|27|shipped
2012|ember|east|frame|73|pending
1276|juno|east|cable|20|pending
1808|juno|west|rotor|15|shipped
1704|harbor|west|valve|42|paid
2080|ionic|south|frame|57|shipped
1262|cobalt|west|cable|39|held
1781|birch|north|pump|35|held
1240|gale|north|sensor|45|shipped
1421|juno|north|frame|44|held
1579|fulton|east|valve|10|paid
1231|harbor|west|panel|21|paid
1229|acme|west|valve|14|pending
1896|ember|east|cable|81|held
1415|acme|south|sensor|42|pending
1520|juno|north|frame|66|shipped
2229|ionic|west|frame|57|shipped
1162|ionic|west|rotor|91|shipped
1903|ionic|west|panel|55|paid
2176|birch|east|pump|23|held
1406|gale|south|frame|22|shipped
1602|ember|north|gasket|63|shipped
1684|harbor|west|sensor|57|held
1223|acme|west|valve|25|held
2108|dorian|east|pump|53|held
2174|gale|east|cable|18|pending
2081|birch|west|panel|74|shipped
1454|acme|east|sensor|57|shipped
1207|ionic|south|pump|42|shipped
1749|ember|east|cable|31|held
1730|dorian|west|panel|51|paid
1482|fulton|east|pump|87|held
2227|harbor|east|gasket|98|pending
2185|juno|west|rotor|77|held
1381|birch|west|rotor|92|pending
1543|acme|east|cable|58|pending
1916|cobalt|south|frame|14|pending
1310|ionic|south|panel|49|pending
1269|harbor|west|rotor|35|pending
1363|harbor|west|valve|34|shipped
2016|ember|east|sensor|83|pending
1662|dorian|north|gasket|16|pending
1209|juno|south|cable|36|shipped
1991|harbor|south|rotor|11|pending
1644|birch|west|rotor|73|paid
1775|harbor|north|sensor|73|shipped
2071|harbor|east|panel|16|shipped
1890|birch|south|sensor|45|paid
2035|ionic|north|gasket|27|pending
2019|ionic|west|cable|47|shipped
1952|cobalt|west|rotor|51|pending
1174|ionic|west|frame|26|pending
1502|dorian|south|gasket|93|paid
1997|cobalt|east|pump|78|pending
1780|cobalt|east|frame|10|held
1950|dorian|west|panel|19|pending
1844|harbor|south|frame|27|shipped
1805|ember|north|rotor|22|pending
1458|dorian|north|pump|60|paid
1818|acme|north|frame|35|held
1369|acme|north|gasket|75|pending
1251|ember|west|cable|58|held
1200|gale|east|sensor|30|shipped
1400|dorian|south|valve|95|pending
1688|fulton|north|valve|11|shipped
1845|birch|south|sensor|23|paid
2092|juno|east|panel|48|held
1915|dorian|west|gasket|65|pending
1751|ionic|south|valve|81|held
1239|ionic|east|sensor|73|pending
2041|gale|east|pump|62|paid
1436|ionic|west|rotor|79|paid
1753|ionic|north|pump|86|pending
1673|cobalt|east|cable|78|pending
1572|dorian|south|frame|56|shipped
1623|ember|south|rotor|55|pending
1831|birch|south|pump|72|shipped
2208|ionic|west|cable|11|pending
1630|juno|north|panel|20|pending
1336|ember|west|cable|37|paid
1488|cobalt|north|frame|15|paid
1928|cobalt|east|valve|41|held
2086|ember|south|gasket|75|paid
1325|cobalt|west|pump|70|held
1340|acme|south|valve|81|shipped
1993|gale|east|frame|37|pending
1523|juno|south|sensor|31|held
1388|birch|north|pump|79|shipped
1282|dorian|east|pump|71|held
1430|gale|west|panel|66|pending
1414|gale|east|sensor|29|pending
1557|fulton|east|cable|85|pending
1464|fulton|east|sensor|13|held
2051|fulton|south|rotor|95|pending
2008|fulton|west|frame|50|pending
1308|harbor|north|panel|60|held
1661|dorian|west|valve|77|shipped
1434|gale|east|frame|12|held
1869|dorian|east|gasket|28|paid
1906|dorian|north|sensor|72|pending
1724|cobalt|west|valve|13|paid
1853|harbor|east|gasket|44|paid
1217|fulton|east|pump|35|held
1326|dorian|east|rotor|85|pending
1863|ember|north|pump|43|held
1964|gale|west|cable|81|shipped
1609|harbor|north|frame|12|paid
1448|juno|west|sensor|69|pending
2070|cobalt|north|cable|16|shipped
2151|acme|west|cable|53|shipped
1759|fulton|west|pump|70|held
2134|gale|west|gasket|72|paid
1971|ember|west|pump|67|paid
1186|gale|south|valve|78|paid
2191|cobalt|north|sensor|93|held
1346|ember|west|cable|22|pending
1755|ember|north|sensor|56|pending
1599|cobalt|north|rotor|70|paid
1302|gale|north|valve|67|held
2206|harbor|south|pump|89|pending
2214|fulton|north|cable|97|pending
1268|fulton|north|pump|31|held
1416|cobalt|east|frame|23|pending
1362|birch|west|gasket|89|paid
1583|fulton|west|valve|97|held
1838|ionic|south|valve|51|held
2001|birch|west|panel|13|shipped
1601|fulton|east|valve|18|shipped
1478|gale|west|panel|94|pending
1651|acme|south|sensor|20|held
1495|acme|south|cable|77|paid
1654|gale|west|frame|78|paid
1563|juno|north|sensor|25|held
1541|ionic|north|cable|79|pending
1422|dorian|west|gasket|91|pending
2048|ionic|north|rotor|12|shipped
1962|acme|east|panel|63|shipped
1977|gale|west|sensor|86|pending
1668|juno|east|rotor|51|held
1545|gale|west|rotor|77|paid
2026|fulton|south|gasket|60|paid
1163|ionic|west|panel|25|pending
1639|harbor|south|pump|42|held
2072|fulton|west|cable|74|pending
1807|harbor|east|frame|95|shipped
1798|cobalt|west|pump|36|pending
2058|birch|south|valve|27|held
1659|juno|west|sensor|37|paid
1357|ember|east|cable|42|shipped
2024|birch|north|valve|49|shipped
1678|harbor|east|rotor|13|held
1350|juno|east|cable|77|paid
1768|ionic|west|pump|32|shipped
1295|gale|north|sensor|25|paid
2114|fulton|south|gasket|72|held
1409|cobalt|west|pump|77|shipped
2161|dorian|west|frame|35|held
1750|acme|east|rotor|51|shipped
1806|acme|north|sensor|80|pending
1640|fulton|north|gasket|47|held
2155|juno|south|frame|56|held
1911|harbor|east|frame|43|paid
1860|gale|west|sensor|41|pending
1588|ionic|east|panel|97|held
1289|cobalt|east|valve|28|held
2099|fulton|south|panel|15|held
2205|birch|north|rotor|25|held
1494|acme|north|valve|52|held
1590|ionic|west|pump|40|paid
1823|ember|south|panel|96|paid
1475|dorian|west|sensor|15|paid
1194|ember|south|pump|58|pending
2146|cobalt|west|valve|61|shipped
1726|harbor|north|frame|46|paid
1987|juno|north|gasket|35|paid
1280|ember|south|frame|33|shipped
1655|juno|east|pump|68|paid
1939|cobalt|east|valve|84|held
1882|dorian|east|cable|10|pending
1635|fulton|east|panel|44|shipped
1244|ember|south|panel|49|held
1395|cobalt|east|rotor|60|paid
1255|harbor|south|valve|30|pending
1912|acme|west|frame|29|paid
1318|ember|north|valve|13|paid
2220|gale|south|rotor|84|pending
1698|acme|south|sensor|19|shipped
1238|ember|south|panel|63|paid
1842|harbor|east|panel|57|held
1367|birch|north|pump|98|pending
1513|acme|east|gasket|24|pending
1159|ionic|east|frame|74|pending
2142|cobalt|east|frame|61|pending
2136|ionic|west|gasket|76|paid
1788|dorian|north|sensor|83|shipped
2105|juno|west|sensor|51|shipped
1875|juno|east|valve|72|pending
1791|acme|west|rotor|93|held
1254|ionic|north|frame|90|paid
1164|ionic|south|gasket|89|pending
1620|birch|west|cable|74|shipped
2125|gale|south|sensor|30|held
1969|ionic|south|sensor|22|held
1899|ionic|north|valve|81|paid
1733|fulton|west|panel|37|paid
1375|acme|north|valve|35|paid
1236|ionic|west|frame|94|pending
2223|gale|west|rotor|73|shipped
1691|birch|north|rotor|94|held
1169|ionic|west|cable|35|held
1536|juno|north|rotor|50|held
1763|acme|north|valve|43|shipped
2167|cobalt|south|frame|83|paid
2129|ember|north|frame|93|paid
1923|ionic|north|sensor|89|paid
1616|fulton|west|gasket|42|held
1718|fulton|east|rotor|20|paid
1877|acme|north|valve|21|held
1374|harbor|north|gasket|52|shipped
2122|ember|north|valve|15|paid
1744|fulton|north|rotor|49|paid
2117|acme|north|rotor|78|shipped
1506|fulton|south|frame|24|held
1957|juno|south|valve|57|shipped
1213|harbor|north|pump|82|pending
1846|juno|west|gasket|56|held
1942|gale|north|rotor|77|pending
1878|gale|north|rotor|61|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 46, 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": 51}}, {"tool": "cancel_order", "args": {"order_id": 1163}}, {"tool": "cancel_order", "args": {"order_id": 1174}}, {"tool": "restock", "args": {"item": "frame", "qty": 94}}, {"tool": "cancel_order", "args": {"order_id": 2208}} ]
correctagentic.tools.triage-v1conf 99% · 1.8s · $0.008 · 224 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → chen
- infra → tanaka
- payments → novak

INCIDENTS:
1. "records missing after import" (category: data, priority 8)
2. "records missing after import" (category: data, priority 8)
3. "refund double-charged" (category: payments, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 8}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "novak"}} ]
correctagentic.tools.ledger-v1conf 99% · 1.5s · $0.017 · 573 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $782
- kilo: $237
- tango: $683

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $541 from "alpha" to "tango"
2. pay $515 from "alpha" to "tango"
3. pay $145 from "alpha" to "kilo"
4. pay $206 from "tango" 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": "alpha", "to": "tango", "amount": 541}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 274}}, {"tool": "transfer", "args": {"from": "alpha", "to": "tango", "amount": 515}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 145}}, {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 145}}, {"tool": "transfer", "args": {"from": "tango", "to": "alpha", "amount": 206}} ]
correctagentic.tools.deploy-v1conf 99% · 1.9s · $0.008 · 265 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: gateway, reports
- gateway: notifier
- notifier: (none)
- reports: gateway

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "notifier"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}} ]
correctagentic.tools.triage-v1conf 97% · 3.1s · $0.010 · 287 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 7)
2. "records missing after import" (category: data, priority 3)
3. "refund double-charged" (category: payments, priority 9)
4. "refund double-charged" (category: payments, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-3"}} ]
correctagentic.tools.context-load-v1conf 99% · 2.4s · $0.020 · 290 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 (153 records, format: id|customer|region|item|qty|status):
```
1533|harbor|east|sensor|64|shipped
1690|acme|east|rotor|75|pending
1476|birch|north|frame|11|shipped
1540|cobalt|east|valve|73|held
1891|ionic|west|frame|16|paid
1949|ionic|south|gasket|61|held
1743|acme|west|valve|36|pending
1409|birch|north|gasket|96|shipped
1665|cobalt|west|rotor|87|shipped
1816|ionic|north|frame|70|shipped
1748|harbor|east|rotor|31|shipped
1495|fulton|north|rotor|73|pending
1907|harbor|south|pump|32|held
1617|dorian|east|frame|78|held
1952|dorian|west|valve|98|held
1883|fulton|east|pump|44|pending
1518|harbor|west|pump|73|paid
1576|harbor|south|frame|59|held
1506|ember|west|frame|92|held
1598|dorian|west|frame|28|held
1718|dorian|north|gasket|33|shipped
1695|cobalt|west|valve|95|pending
1406|birch|south|panel|74|pending
1611|acme|north|panel|49|paid
1871|fulton|south|gasket|78|held
1839|cobalt|north|valve|25|held
1964|birch|west|pump|79|pending
1502|fulton|north|rotor|33|held
1874|dorian|south|cable|91|shipped
1654|acme|north|valve|42|held
1588|ionic|south|frame|53|held
1901|dorian|south|valve|89|held
1864|gale|south|valve|43|held
1465|gale|west|sensor|94|held
1395|birch|north|frame|79|pending
1946|birch|west|cable|44|pending
1911|harbor|north|pump|57|pending
1849|acme|north|panel|63|pending
1761|dorian|north|pump|95|pending
1634|juno|west|rotor|52|shipped
1672|acme|west|frame|64|shipped
1438|acme|east|panel|29|pending
1916|juno|north|frame|78|paid
1661|ionic|west|frame|68|paid
1882|harbor|west|sensor|79|held
1840|acme|north|sensor|42|paid
1989|gale|north|gasket|42|shipped
1801|harbor|north|cable|83|held
1733|dorian|west|rotor|75|shipped
1498|juno|north|gasket|89|pending
1458|acme|west|valve|65|held
1532|gale|east|gasket|74|shipped
1454|acme|south|cable|71|held
1984|gale|south|sensor|94|shipped
1957|dorian|south|sensor|65|held
1707|harbor|east|sensor|75|paid
1485|birch|east|gasket|47|held
1640|acme|west|valve|37|held
1404|birch|north|rotor|53|pending
1994|cobalt|north|gasket|34|shipped
1825|fulton|east|panel|65|shipped
1630|dorian|east|rotor|84|held
1646|fulton|east|gasket|25|paid
1940|juno|east|frame|76|shipped
1675|dorian|north|panel|60|shipped
1607|birch|west|cable|67|shipped
1570|fulton|north|valve|73|pending
1714|dorian|north|cable|91|shipped
1456|birch|south|gasket|15|pending
1455|juno|north|panel|70|pending
1785|gale|west|gasket|22|paid
1594|harbor|west|pump|92|held
1963|cobalt|south|panel|57|shipped
1797|ember|east|panel|16|shipped
1565|fulton|west|frame|83|shipped
1525|acme|west|gasket|49|paid
1557|birch|south|frame|32|shipped
1828|birch|west|rotor|59|pending
1790|gale|west|pump|57|shipped
1444|ember|east|rotor|14|shipped
1969|harbor|west|pump|33|shipped
1704|juno|north|gasket|62|held
1481|gale|east|pump|48|shipped
1419|birch|west|pump|42|pending
1729|acme|south|frame|94|shipped
1546|ember|east|gasket|95|paid
1526|dorian|west|sensor|74|paid
1488|gale|north|sensor|55|shipped
1921|acme|east|gasket|69|shipped
1972|ionic|north|gasket|82|held
1848|fulton|west|sensor|53|held
1736|fulton|west|pump|57|pending
1493|ionic|east|cable|42|paid
1884|ionic|west|panel|13|paid
1505|ionic|east|pump|63|held
1638|juno|west|panel|88|held
1779|harbor|north|rotor|16|pending
1754|ember|north|frame|35|pending
1978|acme|west|sensor|25|shipped
1424|dorian|east|panel|65|held
1855|ember|south|frame|88|pending
1653|juno|south|valve|83|shipped
1903|birch|east|sensor|54|pending
1933|cobalt|east|valve|64|pending
1705|acme|north|cable|56|held
1470|ionic|south|rotor|12|pending
1396|birch|east|panel|12|pending
1820|ionic|north|pump|65|shipped
1413|birch|north|cable|57|pending
1760|dorian|east|panel|30|pending
1612|cobalt|south|gasket|91|held
1663|ionic|north|cable|26|shipped
1844|harbor|west|gasket|61|held
1808|dorian|south|gasket|41|held
1426|harbor|west|gasket|27|paid
1582|birch|north|pump|98|pending
1768|juno|east|gasket|76|paid
1679|cobalt|west|valve|60|paid
1956|ember|east|panel|65|shipped
1811|ionic|north|cable|23|pending
1772|dorian|north|pump|91|pending
1601|dorian|north|valve|64|pending
1510|ember|east|rotor|20|pending
1467|juno|east|pump|85|paid
1923|gale|west|pump|72|shipped
1558|ember|west|gasket|41|pending
1639|gale|north|panel|11|paid
1449|acme|west|sensor|24|held
1554|ionic|north|cable|61|shipped
1897|ember|west|gasket|23|pending
1723|fulton|south|sensor|22|pending
1835|juno|west|panel|32|pending
1429|fulton|north|rotor|63|pending
1699|juno|east|panel|11|held
1719|harbor|south|gasket|23|shipped
1625|gale|east|cable|52|paid
1422|birch|north|gasket|47|held
1553|gale|west|pump|29|held
1862|acme|north|rotor|45|pending
1764|cobalt|north|pump|38|paid
1716|birch|west|panel|21|shipped
1975|harbor|west|rotor|25|pending
1515|acme|east|cable|44|held
1619|juno|north|pump|94|held
1399|birch|north|rotor|71|paid
1542|ionic|north|frame|45|held
1910|acme|north|sensor|13|paid
1930|cobalt|east|sensor|30|held
1683|birch|west|gasket|89|paid
1875|gale|east|cable|55|shipped
1494|acme|south|rotor|92|held
1575|gale|south|frame|17|paid
1435|dorian|east|pump|71|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 56, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "frame", "qty": 79}}, {"tool": "cancel_order", "args": {"order_id": 1404}}, {"tool": "restock", "args": {"item": "cable", "qty": 57}}, {"tool": "restock", "args": {"item": "pump", "qty": 98}} ]
correctagentic.tools.ledger-v1conf 99% · 1.8s · $0.018 · 621 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: $289
- tango: $829
- echo: $160

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $501 from "delta" to "tango"
2. pay $347 from "delta" to "tango"
3. pay $386 from "tango" to "echo"
4. pay $140 from "echo" to "tango"
5. pay $286 from "delta" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 212}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 501}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 347}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 347}}, {"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 386}}, {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 140}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 286}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 286}} ]
correctagentic.tools.deploy-v1conf 99% · 2.4s · $0.008 · 247 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: search
- billing: (none)
- search: billing
- notifier: search

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.context-load-v1conf 98% · 2.4s · $0.033 · 420 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 (300 records, format: id|customer|region|item|qty|status):
```
1355|gale|south|panel|24|shipped
1736|gale|west|rotor|14|paid
1709|cobalt|west|sensor|75|paid
2447|birch|north|rotor|93|held
2031|dorian|east|sensor|97|pending
2454|cobalt|south|gasket|14|held
1903|acme|west|frame|78|shipped
1841|fulton|west|sensor|12|held
2198|fulton|south|pump|63|paid
1908|juno|south|gasket|90|held
1334|juno|east|sensor|14|shipped
1913|ionic|east|frame|24|held
1730|dorian|east|cable|15|paid
2251|cobalt|east|cable|69|held
2298|fulton|north|frame|27|paid
1742|cobalt|east|cable|55|shipped
2077|fulton|south|sensor|83|shipped
2190|acme|east|panel|79|held
2144|fulton|south|rotor|22|pending
1623|fulton|south|sensor|22|held
1317|ember|west|panel|64|shipped
1571|gale|east|rotor|90|shipped
1788|gale|east|valve|36|pending
1261|birch|west|rotor|92|pending
1699|ember|east|valve|82|held
2461|ionic|south|valve|16|pending
2113|dorian|north|panel|28|shipped
1725|harbor|west|cable|73|shipped
1718|gale|south|panel|80|paid
2376|birch|east|gasket|89|pending
2293|cobalt|north|valve|92|held
1576|acme|south|gasket|74|paid
1477|cobalt|west|cable|19|shipped
1970|dorian|east|rotor|77|held
2405|ember|south|panel|59|shipped
1415|acme|west|gasket|49|pending
1675|dorian|north|sensor|21|held
2462|fulton|south|sensor|52|shipped
1909|cobalt|east|valve|57|pending
1670|ember|south|frame|87|held
2446|acme|north|rotor|55|held
2186|harbor|north|valve|36|paid
2070|harbor|south|cable|66|pending
1793|cobalt|east|valve|79|pending
1482|ionic|east|sensor|88|paid
1291|ember|north|frame|30|paid
1319|ionic|north|gasket|39|paid
2125|ember|east|rotor|64|shipped
1402|harbor|west|frame|35|pending
2126|acme|east|gasket|97|shipped
1975|dorian|north|sensor|13|shipped
1448|ember|west|rotor|53|paid
1276|birch|south|cable|48|shipped
2300|gale|north|panel|26|shipped
1488|ember|west|pump|33|shipped
1272|birch|north|frame|95|pending
1557|fulton|east|pump|40|held
1470|fulton|north|sensor|23|shipped
2119|ember|east|rotor|94|shipped
1374|juno|south|rotor|88|shipped
1578|gale|south|pump|90|paid
1628|acme|south|cable|29|held
1387|fulton|east|sensor|22|held
2207|dorian|south|cable|23|pending
2172|gale|south|pump|35|shipped
2369|fulton|east|sensor|97|paid
2050|gale|west|rotor|64|shipped
1876|dorian|north|cable|14|paid
1515|juno|north|valve|23|paid
2361|ember|south|pump|15|held
1955|ember|east|sensor|87|paid
2419|juno|east|rotor|53|paid
1596|ionic|north|gasket|52|shipped
2306|dorian|east|gasket|66|held
2059|juno|west|sensor|46|pending
1413|gale|south|panel|38|held
1545|cobalt|north|sensor|29|shipped
1914|ember|east|cable|85|pending
1689|ionic|north|valve|42|pending
1636|acme|west|pump|76|shipped
2284|juno|east|valve|18|pending
1671|birch|north|gasket|62|paid
1259|birch|south|cable|93|shipped
1920|birch|east|rotor|99|shipped
1577|juno|north|valve|11|paid
2098|acme|south|frame|91|held
2253|dorian|west|gasket|89|paid
2138|cobalt|west|panel|68|held
1427|acme|south|panel|66|shipped
2153|juno|north|panel|60|held
2109|dorian|west|valve|72|shipped
1266|birch|south|gasket|85|held
2054|harbor|south|sensor|88|shipped
1499|gale|south|cable|69|pending
1948|acme|north|pump|35|pending
1654|juno|north|pump|21|pending
2155|acme|north|rotor|58|paid
2234|juno|east|gasket|97|shipped
1748|gale|south|rotor|88|shipped
1988|dorian|north|panel|50|pending
2429|harbor|north|frame|63|paid
2211|juno|south|valve|59|paid
2221|ember|east|pump|79|pending
2377|juno|east|rotor|63|shipped
2321|acme|east|valve|40|paid
1506|cobalt|east|panel|84|pending
1353|dorian|east|valve|66|held
2277|acme|north|frame|60|shipped
1464|fulton|east|cable|90|shipped
1492|ember|west|frame|90|paid
2417|birch|north|cable|46|shipped
2311|birch|north|sensor|80|shipped
2464|cobalt|east|panel|38|shipped
2394|gale|west|valve|27|shipped
1938|acme|east|panel|15|paid
1941|acme|north|sensor|31|shipped
1844|gale|south|rotor|83|shipped
1642|cobalt|south|panel|27|pending
1943|cobalt|south|rotor|70|pending
1760|harbor|south|gasket|38|pending
1612|acme|east|rotor|51|shipped
1549|gale|east|panel|98|paid
1340|gale|north|cable|55|pending
1421|birch|west|cable|52|shipped
2435|harbor|north|sensor|51|pending
1632|birch|south|frame|64|pending
1802|dorian|south|frame|55|pending
2228|birch|east|cable|31|shipped
1958|gale|east|rotor|77|paid
1694|juno|east|frame|21|shipped
2018|juno|east|sensor|39|pending
1865|gale|east|pump|70|pending
1981|fulton|north|pump|84|held
1860|ionic|east|frame|76|pending
1346|fulton|south|panel|53|pending
2336|juno|south|valve|43|paid
2299|birch|east|gasket|18|paid
1269|birch|south|valve|32|pending
1359|gale|south|panel|10|paid
2079|fulton|north|cable|26|paid
2411|acme|south|cable|56|held
1237|birch|west|sensor|21|pending
2218|fulton|north|rotor|22|pending
2013|gale|east|valve|55|held
2355|ember|north|rotor|10|shipped
1842|fulton|south|sensor|14|paid
2409|acme|south|rotor|29|paid
1539|juno|west|rotor|69|pending
1230|birch|south|gasket|71|pending
1465|birch|west|valve|37|held
1845|birch|north|cable|38|shipped
2094|ionic|north|valve|35|paid
2331|birch|west|pump|29|pending
1363|juno|south|frame|51|pending
1727|juno|north|pump|53|shipped
2016|birch|east|panel|99|paid
1435|ionic|west|frame|97|pending
2141|harbor|west|sensor|17|pending
2423|harbor|north|frame|46|held
1719|dorian|north|frame|39|paid
2066|harbor|north|sensor|85|held
2270|cobalt|west|valve|76|paid
2340|cobalt|north|pump|58|pending
1603|ember|north|panel|86|paid
2296|cobalt|south|sensor|69|held
1995|birch|north|sensor|82|pending
1809|cobalt|south|panel|37|shipped
1936|cobalt|east|rotor|32|paid
1621|juno|west|rotor|65|paid
2044|ember|east|frame|91|paid
1476|dorian|south|pump|80|held
2081|juno|west|gasket|38|held
1851|juno|east|panel|90|held
2368|ember|south|panel|14|paid
1306|harbor|south|rotor|80|shipped
2266|ionic|west|frame|13|held
2236|harbor|east|rotor|29|held
1712|ember|north|rotor|78|held
1244|birch|south|panel|74|held
2415|gale|east|frame|79|pending
1641|juno|east|valve|67|held
2003|ember|east|valve|40|paid
1458|ionic|south|gasket|94|paid
1252|birch|west|rotor|47|pending
1783|dorian|west|frame|61|shipped
1889|cobalt|south|pump|38|pending
2195|fulton|south|rotor|89|pending
1927|harbor|north|gasket|72|held
2267|acme|north|cable|13|pending
1655|birch|west|rotor|49|shipped
1682|cobalt|south|sensor|18|shipped
1656|acme|east|gasket|60|paid
2391|ionic|south|valve|91|shipped
1333|cobalt|south|valve|43|pending
1558|birch|east|cable|34|pending
1775|harbor|north|cable|89|held
1722|acme|north|cable|98|held
1900|acme|west|panel|47|paid
2442|fulton|east|gasket|13|shipped
1996|dorian|west|frame|70|shipped
2242|fulton|north|gasket|83|pending
1666|fulton|east|frame|50|paid
1440|ionic|west|pump|79|paid
1829|ember|east|panel|96|held
1522|ember|north|valve|57|held
1816|acme|south|gasket|77|pending
1447|ember|north|gasket|57|paid
1616|gale|east|pump|58|shipped
2065|juno|west|cable|88|held
1964|harbor|east|gasket|57|pending
1894|ionic|north|cable|25|held
1312|juno|south|valve|34|pending
1883|dorian|west|valve|16|paid
1622|acme|east|frame|18|held
1303|juno|west|rotor|48|pending
1248|birch|south|cable|70|pending
2178|birch|west|pump|23|shipped
2168|harbor|east|panel|14|paid
2402|gale|east|frame|94|pending
2291|fulton|south|rotor|33|held
1508|harbor|north|frame|29|held
2404|ember|south|sensor|44|paid
2350|ionic|south|frame|40|held
1768|acme|west|cable|64|held
1821|ember|south|valve|61|held
1281|birch|south|frame|21|pending
1380|cobalt|north|valve|42|paid
2396|cobalt|east|frame|93|pending
1992|juno|south|pump|67|shipped
1873|gale|west|panel|54|paid
1532|harbor|south|gasket|24|shipped
1585|cobalt|east|pump|16|paid
1663|harbor|north|pump|98|shipped
2162|ionic|south|gasket|76|held
1868|birch|west|cable|21|held
2246|dorian|east|gasket|91|held
1610|dorian|west|sensor|44|pending
1354|dorian|east|panel|68|pending
1392|cobalt|south|gasket|20|held
2385|harbor|west|rotor|86|held
2090|birch|north|pump|99|shipped
1514|gale|south|frame|21|pending
2038|birch|north|sensor|24|pending
2133|harbor|east|panel|94|paid
2346|fulton|south|cable|53|pending
1606|juno|east|cable|31|held
1567|fulton|east|frame|37|pending
2203|dorian|west|cable|87|pending
1283|birch|west|panel|79|pending
1260|birch|south|sensor|24|pending
2185|gale|south|gasket|33|held
2312|ember|south|frame|94|shipped
1323|birch|north|cable|31|pending
1373|birch|south|valve|28|paid
2146|harbor|west|pump|28|shipped
2009|juno|north|panel|68|held
1560|fulton|south|frame|67|pending
2384|harbor|east|pump|46|pending
1930|dorian|west|sensor|91|held
1857|juno|south|cable|29|paid
1647|cobalt|south|cable|28|held
1451|birch|south|frame|48|shipped
1902|fulton|east|panel|16|held
1827|acme|south|gasket|68|held
2193|ionic|south|rotor|96|pending
2457|harbor|north|gasket|11|shipped
1553|dorian|west|frame|88|pending
1766|juno|east|rotor|96|paid
1754|gale|south|sensor|79|shipped
1705|juno|west|panel|56|held
1411|cobalt|west|cable|97|paid
2104|ionic|west|sensor|66|paid
1287|birch|south|valve|86|paid
1432|harbor|south|gasket|29|shipped
1297|fulton|north|valve|10|shipped
2326|fulton|south|panel|35|pending
1527|ionic|east|gasket|19|paid
2182|cobalt|north|pump|63|held
1849|birch|west|gasket|69|paid
1518|ember|south|gasket|93|shipped
2399|ember|north|pump|97|paid
2154|harbor|south|rotor|50|held
1825|birch|east|pump|33|paid
1368|gale|south|pump|95|pending
1337|ember|west|pump|40|held
1836|fulton|east|valve|61|held
2260|juno|east|sensor|95|pending
1554|ember|west|gasket|42|shipped
2088|cobalt|west|pump|61|shipped
1800|harbor|west|frame|64|paid
1409|dorian|east|rotor|73|held
1776|fulton|south|panel|52|held
1395|acme|east|frame|45|pending
2316|harbor|north|rotor|86|paid
2025|acme|north|frame|77|held
1438|juno|west|cable|65|held
2459|dorian|south|frame|60|paid
1751|juno|east|cable|35|held
1590|gale|south|sensor|26|pending
1329|harbor|south|panel|13|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "gasket", "qty": 71}}, {"tool": "restock", "args": {"item": "cable", "qty": 70}}, {"tool": "cancel_order", "args": {"order_id": 1260}}, {"tool": "cancel_order", "args": {"order_id": 1269}}, {"tool": "cancel_order", "args": {"order_id": 1281}}, {"tool": "restock", "args": {"item": "frame", "qty": 64}} ]
correctagentic.tools.triage-v1conf 97% · 2.3s · $0.008 · 199 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 6)
2. "cannot reset password" (category: auth, priority 6)
3. "webhooks not delivered" (category: infra, 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": "cannot reset password", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}} ]
correctagentic.tools.ledger-v1conf 99% · 2.2s · $0.015 · 509 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $430
- bravo: $823
- lima: $809

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $263 from "alpha" to "bravo"
2. pay $229 from "lima" to "bravo"
3. pay $458 from "lima" to "alpha"
4. pay $580 from "alpha" to "bravo"
5. pay $206 from "bravo" 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": "alpha", "to": "bravo", "amount": 263}}, {"tool": "transfer", "args": {"from": "lima", "to": "bravo", "amount": 229}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 458}}, {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 580}}, {"tool": "transfer", "args": {"from": "bravo", "to": "alpha", "amount": 206}} ]
correctagentic.tools.context-load-v1conf 98% · 6.3s · $0.032 · 484 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 (256 records, format: id|customer|region|item|qty|status):
```
1553|ionic|south|valve|92|held
2401|harbor|north|rotor|10|held
1536|ionic|north|panel|80|shipped
2046|dorian|west|pump|38|pending
2302|ionic|east|cable|30|shipped
1632|harbor|west|panel|10|pending
2132|dorian|north|frame|45|held
1690|birch|north|panel|47|pending
1799|dorian|north|gasket|85|shipped
1575|harbor|east|panel|21|paid
1872|gale|west|cable|79|shipped
2212|ionic|north|cable|95|paid
1507|juno|east|valve|85|paid
1545|fulton|west|valve|29|shipped
2241|fulton|south|sensor|56|held
2092|juno|west|cable|11|paid
2086|dorian|west|gasket|23|pending
2297|harbor|east|sensor|69|pending
1567|cobalt|east|sensor|96|shipped
2206|gale|north|valve|81|held
1541|birch|west|cable|48|shipped
1837|ionic|east|sensor|47|shipped
2291|birch|west|panel|69|paid
1392|dorian|east|rotor|50|pending
1759|ionic|north|cable|84|shipped
1880|birch|east|frame|66|pending
1649|cobalt|south|gasket|23|held
1923|ember|east|pump|47|pending
1844|fulton|east|valve|74|shipped
2009|acme|north|valve|11|shipped
2314|dorian|east|rotor|56|paid
1779|juno|south|pump|76|paid
1944|ionic|north|rotor|69|shipped
2068|harbor|north|cable|71|shipped
2272|birch|east|pump|66|shipped
2265|birch|west|pump|56|shipped
2096|acme|south|gasket|35|paid
1807|birch|west|pump|37|shipped
1729|ionic|north|gasket|93|pending
1451|birch|west|pump|85|held
2158|acme|east|gasket|97|paid
1516|birch|north|gasket|52|pending
1992|cobalt|east|frame|43|pending
2317|fulton|north|cable|14|pending
1642|ember|west|valve|71|paid
1998|ionic|south|pump|39|shipped
1865|fulton|north|cable|74|paid
1813|dorian|south|valve|64|paid
2285|birch|west|panel|52|pending
2100|cobalt|east|gasket|86|held
2161|dorian|east|valve|59|pending
1421|dorian|east|frame|59|held
2424|harbor|south|pump|45|pending
1680|juno|south|valve|96|paid
2209|acme|west|gasket|31|paid
1675|acme|west|valve|69|pending
1912|juno|west|rotor|75|held
1782|dorian|south|panel|48|pending
1740|cobalt|west|valve|32|paid
2305|dorian|north|rotor|96|pending
2054|ionic|west|sensor|55|held
2116|fulton|south|panel|99|paid
2085|juno|east|frame|37|held
1931|harbor|south|valve|23|shipped
1438|dorian|east|frame|79|shipped
1974|harbor|north|rotor|33|shipped
2192|ionic|south|rotor|38|shipped
1394|dorian|north|panel|40|pending
1667|gale|south|frame|41|shipped
2394|ember|north|sensor|91|pending
2065|birch|east|cable|68|held
1793|fulton|east|cable|29|held
2309|cobalt|south|panel|41|paid
1687|harbor|east|sensor|43|pending
2289|acme|east|cable|57|pending
1611|harbor|south|cable|91|shipped
2152|dorian|south|frame|48|paid
1591|acme|north|valve|50|held
1527|ember|west|pump|58|shipped
2049|harbor|south|pump|18|pending
1787|fulton|east|valve|68|held
2260|harbor|east|sensor|67|shipped
1535|acme|east|panel|65|held
2246|cobalt|north|pump|55|held
1765|juno|west|rotor|30|pending
2388|dorian|east|sensor|41|shipped
1650|ember|south|pump|77|paid
1607|acme|north|gasket|12|pending
1886|birch|east|sensor|35|paid
1956|birch|south|gasket|55|paid
2407|dorian|south|sensor|47|paid
2365|ember|south|frame|12|shipped
1920|gale|north|rotor|85|held
2381|dorian|east|frame|73|pending
1967|birch|east|gasket|84|pending
1477|harbor|south|panel|60|held
1563|fulton|east|cable|58|shipped
1869|harbor|south|valve|14|paid
1722|dorian|west|panel|32|paid
1950|harbor|east|rotor|16|paid
1529|acme|east|rotor|16|pending
1988|juno|south|cable|41|paid
1891|fulton|south|frame|73|held
2058|cobalt|west|valve|38|shipped
1656|harbor|east|valve|62|shipped
2145|harbor|north|frame|77|held
2036|dorian|west|cable|65|paid
2066|harbor|west|valve|26|held
2131|cobalt|east|valve|44|paid
2076|fulton|east|gasket|44|pending
2277|fulton|east|rotor|28|paid
1801|harbor|west|panel|39|pending
2106|birch|east|pump|82|held
1484|dorian|west|frame|28|held
1702|cobalt|west|pump|67|shipped
1982|ember|south|cable|13|shipped
2000|acme|west|rotor|21|held
2227|gale|north|pump|29|held
1709|ionic|east|frame|65|shipped
1475|dorian|west|rotor|35|paid
1858|gale|east|rotor|80|paid
1918|fulton|north|cable|93|pending
1471|juno|north|sensor|35|held
1549|cobalt|south|rotor|69|paid
2301|cobalt|north|sensor|12|shipped
1506|harbor|west|sensor|94|paid
1609|fulton|west|gasket|45|held
2354|gale|east|sensor|51|held
2182|harbor|east|cable|90|pending
2015|ionic|south|frame|87|paid
2330|juno|east|gasket|35|paid
1703|birch|south|sensor|83|held
2251|birch|south|frame|63|shipped
1660|fulton|south|sensor|99|held
2350|harbor|east|frame|31|shipped
1754|gale|north|frame|81|shipped
2213|birch|west|cable|32|paid
2061|acme|west|cable|49|shipped
1542|ember|west|pump|46|shipped
1924|juno|east|pump|77|paid
1428|dorian|east|rotor|40|pending
1919|acme|west|cable|84|held
1895|fulton|east|valve|66|shipped
2191|dorian|north|frame|87|pending
1663|juno|north|panel|95|held
2033|ionic|east|frame|93|paid
2332|juno|south|pump|10|pending
2186|gale|east|sensor|94|pending
2360|fulton|west|gasket|57|held
1408|dorian|east|valve|56|shipped
1868|cobalt|west|rotor|37|held
2194|cobalt|north|frame|37|held
1500|acme|east|frame|50|shipped
2088|cobalt|north|cable|51|pending
1824|birch|south|pump|52|held
2390|ember|west|panel|84|shipped
1772|birch|west|panel|65|paid
2027|fulton|east|rotor|96|shipped
1460|cobalt|east|pump|50|pending
2136|juno|west|pump|95|paid
2402|harbor|south|valve|11|pending
1745|gale|east|cable|75|paid
2316|fulton|west|cable|77|paid
1674|cobalt|south|panel|54|paid
2060|birch|north|rotor|91|shipped
2175|juno|east|frame|13|paid
2219|fulton|south|frame|62|paid
2253|dorian|north|sensor|64|paid
1750|cobalt|west|cable|87|pending
1639|gale|west|valve|16|shipped
2398|gale|north|pump|57|held
1624|acme|west|valve|94|pending
1587|acme|north|rotor|61|paid
1630|cobalt|east|panel|30|paid
2127|gale|east|gasket|45|shipped
2376|birch|south|panel|39|pending
1739|fulton|east|panel|93|paid
1417|dorian|west|cable|96|pending
1888|birch|south|rotor|85|held
2344|acme|east|cable|74|pending
1636|juno|north|rotor|57|paid
1678|juno|east|pump|28|paid
1874|dorian|south|sensor|65|held
1984|harbor|north|valve|61|pending
1404|dorian|west|sensor|85|pending
2164|acme|north|pump|35|paid
2023|birch|east|pump|60|pending
1978|birch|west|cable|58|held
2267|juno|south|frame|67|held
1696|ember|west|sensor|81|paid
1904|fulton|west|frame|36|paid
1584|acme|west|sensor|25|shipped
2234|harbor|east|gasket|74|held
2121|gale|south|panel|23|shipped
2281|juno|west|rotor|29|shipped
2075|dorian|west|sensor|90|held
2419|ember|north|pump|74|paid
2414|harbor|south|frame|83|held
1601|acme|west|panel|39|pending
2230|juno|east|valve|57|paid
2224|birch|west|frame|10|held
1908|birch|east|rotor|61|shipped
1818|dorian|north|gasket|81|paid
2067|gale|west|valve|87|paid
1831|cobalt|north|frame|39|pending
2018|harbor|west|gasket|41|held
1497|acme|north|pump|53|held
2225|cobalt|south|frame|58|shipped
1936|ember|east|cable|52|held
2169|gale|west|sensor|32|shipped
1495|ionic|north|cable|22|paid
1579|dorian|east|panel|73|pending
2003|acme|north|valve|87|held
2339|dorian|north|sensor|94|paid
1618|gale|south|frame|31|pending
1859|ionic|south|valve|21|pending
1458|acme|east|cable|22|paid
1444|ionic|south|pump|55|held
1586|acme|west|sensor|14|paid
1568|dorian|west|rotor|98|pending
1734|harbor|west|sensor|76|held
1467|birch|north|pump|19|pending
1707|dorian|north|cable|89|paid
1490|birch|north|sensor|17|shipped
2324|ionic|south|frame|83|paid
1851|ionic|east|valve|55|paid
1900|fulton|east|sensor|49|paid
2290|ionic|west|frame|29|held
1512|fulton|east|valve|25|shipped
1768|birch|east|sensor|59|pending
1870|birch|east|pump|42|shipped
1455|ember|east|valve|12|pending
1963|dorian|west|cable|98|held
1713|acme|west|sensor|71|pending
1762|harbor|south|gasket|25|pending
2041|juno|north|gasket|66|held
2372|cobalt|north|cable|58|pending
1937|juno|south|cable|41|paid
2079|juno|north|sensor|24|shipped
1523|acme|west|sensor|63|paid
1560|gale|west|pump|66|paid
2369|ionic|north|valve|54|pending
1395|dorian|east|gasket|86|held
2262|acme|west|sensor|48|pending
1719|fulton|north|valve|74|pending
2110|ember|south|gasket|87|shipped
2199|juno|east|gasket|83|held
1457|ionic|north|pump|56|shipped
1849|fulton|west|rotor|25|shipped
2143|acme|north|gasket|80|shipped
1592|cobalt|north|gasket|32|held
1415|dorian|east|pump|16|pending
1400|dorian|east|rotor|56|pending
1524|acme|east|valve|21|pending
1434|dorian|north|cable|47|pending
1597|dorian|south|pump|24|shipped
```

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 > 45, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "rotor", "qty": 50}}, {"tool": "restock", "args": {"item": "rotor", "qty": 56}}, {"tool": "cancel_order", "args": {"order_id": 1415}}, {"tool": "cancel_order", "args": {"order_id": 1428}}, {"tool": "restock", "args": {"item": "panel", "qty": 73}}, {"tool": "restock", "args": {"item": "valve", "qty": 59}}, {"tool": "restock", "args": {"item": "frame", "qty": 73}} ]
correctagentic.tools.deploy-v1conf 97% · 2.1s · $0.005 · 112 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.triage-v1conf 97% · 1.8s · $0.010 · 308 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 → dubois
- data → silva
- auth → okafor

INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "dashboard shows stale numbers" (category: data, priority 4)
3. "refund double-charged" (category: payments, priority 7)
4. "invoice total wrong" (category: payments, 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": "refund double-charged", "priority": 7}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 8}}, {"tool": "escalate", "args": {"ticket_id": "TCK-4"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "dubois"}} ]
correctagentic.tools.deploy-v1conf 99% · 1.7s · $0.009 · 300 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
correctagentic.tools.ledger-v1conf 99% · 2.4s · $0.017 · 599 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $875
- echo: $614
- lima: $615

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $557 from "lima" to "echo"
2. pay $277 from "lima" to "echo"
3. pay $332 from "lima" to "echo"
4. pay $225 from "lima" to "echo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 557}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 219}}, {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 277}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 332}}, {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 332}}, {"tool": "top_up_from_reserve", "args": {"account": "lima", "amount": 225}}, {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 225}} ]
correctagentic.tools.context-load-v1conf 99% · 1.8s · $0.019 · 354 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 (120 records, format: id|customer|region|item|qty|status):
```
1831|birch|west|pump|32|paid
1698|birch|west|valve|43|paid
1868|cobalt|south|panel|33|shipped
1917|birch|south|valve|37|paid
1553|gale|south|gasket|71|held
1607|cobalt|west|sensor|95|held
1797|birch|north|cable|98|shipped
1575|gale|west|pump|35|pending
1559|cobalt|north|pump|93|shipped
1594|birch|west|pump|35|shipped
1509|cobalt|east|sensor|97|paid
1451|ionic|west|valve|86|pending
1702|cobalt|west|frame|15|shipped
1874|gale|east|pump|65|pending
1468|ionic|north|gasket|74|pending
1490|ionic|south|sensor|11|pending
1787|ionic|east|valve|93|pending
1572|birch|north|cable|35|shipped
1924|acme|east|sensor|37|held
1914|acme|north|frame|94|pending
1862|cobalt|east|valve|12|pending
1720|ionic|east|frame|32|paid
1749|juno|south|valve|31|paid
1496|ionic|north|gasket|80|pending
1531|gale|west|sensor|23|shipped
1530|ember|east|frame|24|paid
1849|dorian|north|rotor|30|held
1845|acme|south|cable|56|held
1822|gale|east|rotor|39|paid
1725|ionic|north|rotor|33|held
1662|gale|south|sensor|52|paid
1713|cobalt|east|frame|86|shipped
1475|ionic|east|panel|37|pending
1859|acme|east|gasket|14|held
1833|dorian|north|rotor|15|shipped
1807|birch|north|sensor|30|shipped
1935|gale|east|valve|86|paid
1734|ionic|east|valve|84|paid
1784|juno|west|pump|74|held
1578|juno|west|gasket|87|held
1942|fulton|north|cable|32|held
1813|birch|east|frame|85|held
1697|gale|south|valve|16|shipped
1908|gale|south|valve|92|held
1742|ember|north|gasket|15|paid
1500|ionic|south|frame|49|pending
1791|cobalt|south|cable|60|shipped
1480|ionic|north|cable|14|shipped
1544|juno|east|sensor|57|pending
1910|dorian|south|panel|84|shipped
1649|juno|south|cable|91|paid
1623|cobalt|west|sensor|80|pending
1856|dorian|east|gasket|94|pending
1878|ionic|west|sensor|57|held
1637|ionic|west|cable|99|held
1771|cobalt|south|pump|74|held
1900|juno|west|gasket|88|paid
1612|harbor|north|panel|29|pending
1526|acme|north|cable|36|paid
1919|juno|east|gasket|36|shipped
1707|birch|east|valve|12|paid
1880|gale|west|sensor|49|pending
1931|birch|west|pump|53|pending
1461|ionic|north|frame|72|held
1588|gale|east|pump|19|paid
1528|ember|south|panel|75|shipped
1618|ember|north|rotor|60|paid
1558|birch|south|sensor|14|held
1536|ember|north|rotor|70|pending
1459|ionic|north|rotor|91|pending
1744|juno|east|sensor|64|pending
1788|birch|west|frame|88|shipped
1447|ionic|north|frame|27|pending
1738|harbor|east|pump|13|pending
1727|fulton|south|sensor|74|held
1657|dorian|east|panel|76|pending
1895|ember|south|panel|93|shipped
1583|cobalt|east|sensor|36|shipped
1765|harbor|north|rotor|14|paid
1739|juno|north|panel|23|paid
1643|ionic|east|rotor|30|pending
1550|fulton|west|gasket|14|shipped
1541|ember|north|pump|90|held
1525|cobalt|south|cable|82|shipped
1839|fulton|west|rotor|71|pending
1562|ember|south|frame|99|paid
1921|harbor|north|frame|16|paid
1799|fulton|west|gasket|23|shipped
1690|ember|north|frame|17|paid
1494|ionic|north|frame|64|held
1918|ionic|east|sensor|48|pending
1764|harbor|south|pump|66|pending
1758|birch|south|gasket|53|held
1753|fulton|east|pump|58|paid
1826|birch|east|valve|82|shipped
1503|ionic|north|sensor|37|held
1804|acme|north|valve|80|pending
1516|harbor|south|gasket|74|shipped
1658|harbor|east|gasket|80|pending
1746|cobalt|north|sensor|33|shipped
1887|acme|north|valve|95|shipped
1894|gale|north|rotor|24|paid
1820|ionic|west|pump|26|held
1460|ionic|west|rotor|53|pending
1926|cobalt|north|frame|63|paid
1669|gale|west|rotor|84|pending
1686|juno|east|pump|83|shipped
1483|ionic|north|rotor|31|pending
1904|dorian|north|rotor|23|paid
1682|birch|north|panel|28|pending
1569|acme|north|sensor|49|shipped
1600|ionic|east|gasket|67|paid
1630|fulton|west|pump|84|shipped
1778|juno|west|sensor|81|paid
1639|dorian|south|sensor|66|paid
1455|ionic|north|panel|56|shipped
1853|dorian|west|cable|91|held
1656|dorian|east|gasket|33|pending
1518|ionic|west|frame|36|pending
1675|fulton|north|cable|99|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1447}}, {"tool": "restock", "args": {"item": "rotor", "qty": 91}}, {"tool": "restock", "args": {"item": "gasket", "qty": 74}}, {"tool": "cancel_order", "args": {"order_id": 1483}}, {"tool": "restock", "args": {"item": "gasket", "qty": 80}} ]
correctagentic.tools.triage-v1conf 97% · 2.3s · $0.008 · 205 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:
- payments → haddad
- data → silva
- auth → okafor

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 7)
2. "card declined at checkout" (category: payments, priority 7)
3. "locked out after 2FA change" (category: auth, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 7}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}} ]
correctagentic.tools.ledger-v1conf 99% · 1.7s · $0.016 · 535 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $894
- bravo: $714
- oscar: $618

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $388 from "oscar" to "bravo"
2. pay $542 from "bravo" to "tango"
3. pay $294 from "tango" to "bravo"
4. pay $239 from "oscar" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 388}}, {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 542}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 294}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 9}}, {"tool": "transfer", "args": {"from": "oscar", "to": "tango", "amount": 239}} ]
correctagentic.tools.deploy-v1conf 99% · 1.6s · $0.009 · 309 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "notifier"}} ]
correctagentic.tools.triage-v1conf 99% · 1.8s · $0.011 · 311 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 9)
2. "records missing after import" (category: data, priority 5)
3. "refund double-charged" (category: payments, priority 9)
4. "SSO loop on login" (category: auth, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-3"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.context-load-v1anchorconf 98% · 1.7s · $0.028 · 507 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 99% · 2.6s · $0.009 · 282 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1anchorconf 99% · 1.9s · $0.017 · 585 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 97% · 2.4s · $0.010 · 287 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.js-v1conf 99% · 1.7s · $0.009 · 337 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 105
correctcode.trace.python-v1conf 99% · 2.0s · $0.015 · 592 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 11
while total + v <= 109:
    if v % 6 != 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: 85
correctcode.trace.nested-v1conf 99% · 1.8s · $0.020 · 779 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 6):
        if j == 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: 136
correctcode.trace.js-v1conf 99% · 2.5s · $0.007 · 252 tok
question
What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7];
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: 135
correctcode.trace.nested-v1conf 99% · 1.5s · $0.018 · 694 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 7):
        if j == 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: 95
correctcode.trace.python-v1conf 99% · 1.4s · $0.014 · 527 tok
question
What does this Python program print?

```python
total = 0
v = 10
while total + v <= 107:
    if v % 4 != 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: 90
correctcode.trace.js-v1conf 99% · 1.8s · $0.006 · 225 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [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: 540
correctcode.trace.nested-v1conf 99% · 2.2s · $0.022 · 844 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 == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 291
correctcode.trace.python-v1conf 99% · 1.7s · $0.013 · 479 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 6
while total + v <= 97:
    if v % 5 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 80
correctcode.trace.js-v1conf 99% · 1.9s · $0.010 · 365 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 432
correctcode.trace.nested-v1conf 99% · 2.7s · $0.018 · 668 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 92
correctcode.trace.python-v1conf 99% · 2.6s · $0.009 · 319 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 101:
    if v % 4 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 77
correctcode.trace.nested-v1conf 98% · 2.3s · $0.024 · 929 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 == 5 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 387
correctcode.trace.js-v1conf 99% · 1.9s · $0.008 · 280 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 4)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 396
correctcode.trace.python-v1conf 99% · 2.2s · $0.009 · 317 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 11
while total + v <= 53:
    if v % 5 != 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: 42
correctcode.trace.nested-v1conf 99% · 3.9s · $0.025 · 980 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, 8):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 291
correctcode.trace.js-v1conf 99% · 2.2s · $0.006 · 198 tok
question
What does this JavaScript program log?

```js
const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 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: 330
correctcode.trace.python-v1conf 99% · 1.8s · $0.013 · 486 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 32:
    if v % 5 != 0:
        total += v
    v += 5
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 0
correctcode.trace.nested-v1conf 99% · 1.8s · $0.022 · 831 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 101
correctcode.trace.js-v1conf 99% · 1.6s · $0.009 · 335 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 36
correctcode.trace.python-v1conf 99% · 1.8s · $0.008 · 302 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 35:
    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: 30
correctcode.trace.js-v1conf 99% · 2.4s · $0.011 · 388 tok
question
What does this JavaScript program log?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
const out = arr
  .map(n => n * 2)
  .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: 180
correctcode.trace.nested-v1conf 98% · 1.7s · $0.023 · 907 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 == 4 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 373
correctcode.trace.python-v1conf 99% · 1.9s · $0.015 · 590 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 6
while total + v <= 118:
    if v % 7 != 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: 111
correctcode.trace.js-v1conf 99% · 2.0s · $0.009 · 328 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
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: 60
correctcode.trace.nested-v1conf 99% · 1.7s · $0.018 · 701 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 * 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: 105
correctcode.trace.python-v1anchorconf 99% · 2.2s · $0.021 · 798 tok
model answer: 0
correctcode.trace.js-v1anchorconf 99% · 2.0s · $0.008 · 275 tok
model answer: 63
correctcode.trace.nested-v1anchorconf 99% · 1.9s · $0.020 · 774 tok
model answer: 283
correctcode.trace.python-v1anchorconf 99% · 1.9s · $0.009 · 333 tok
model answer: 40
instruction following 30/30 correct
correctif.constraints.stack-v1conf 98% · 2.3s · $0.006 · 212 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "falcon" and the last word must be "lumen".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon flies over nova lights as nova stars and nova city glow with lumen
correctif.constraints.stack-v1conf 99% · 7.1s · $0.007 · 250 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "lumen" and the last word must be "nova".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: lumen strikes flint and flint and flint on frozen winter mornings sparking bright like nova
correctif.format.acronym-v1conf 99% · 2.1s · $0.004 · 131 tok
question
Take the third letter of each of these words, in order: flint, tundra, drift, ember, lumen, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: INIBMD
correctif.format.repeat-v1conf 99% · 1.8s · $0.001 · 35 tok
question
Write the word "echo" in uppercase form, repeated exactly 8 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHO-ECHO
correctif.format.acronym-v1conf 99% · 2.1s · $0.002 · 40 tok
question
Take the first letter of each of these words, in order: echo, falcon, ember, tundra, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EFETO
correctif.constraints.stack-v1conf 99% · 2.2s · $0.008 · 294 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "zephyr" and the last word must be "ember".
3. Use the word "prism" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr winds carry frost across the silent dawn where light through a prism splits and a prism catches each fading ember
correctif.format.repeat-v1conf 99% · 1.8s · $0.001 · 29 tok
question
Write the word "delta" 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: DELTA/DELTA/DELTA/DELTA/DELTA/DELTA
correctif.constraints.stack-v1conf 99% · 2.9s · $0.015 · 571 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "flint" 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: flint skies at dawn hold a comet so bright, a comet so swift, a comet fading into cold winter morning zephyr
correctif.format.acronym-v1conf 99% · 3.1s · $0.003 · 83 tok
question
Take the first letter of each of these words, in order: drift, prism, flint, quartz, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DPFQE
correctif.format.repeat-v1conf 99% · 2.1s · $0.001 · 17 tok
question
Write the word "cedar" in lowercase form, repeated exactly 3 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cedar-cedar-cedar
correctif.constraints.stack-v1conf 99% · 2.9s · $0.007 · 261 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "flint" and the last word must be "cedar".
3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: flint shores where waves echo echo echo across the dark tide beneath skies of salt and wind and ancient cedar
correctif.format.acronym-v1conf 99% · 2.0s · $0.003 · 106 tok
question
Take the third letter of each of these words, in order: falcon, basalt, lumen, echo, 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: LSMHN
correctif.format.repeat-v1conf 99% · 1.7s · $0.001 · 29 tok
question
Write the word "ember" in uppercase form, repeated exactly 6 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EMBER_EMBER_EMBER_EMBER_EMBER_EMBER
correctif.constraints.stack-v1conf 99% · 3.1s · $0.008 · 290 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "nova" and the last word must be "comet".
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: nova light guided us across tundra and tundra and tundra on a long frozen path toward the distant comet
correctif.format.acronym-v1conf 99% · 2.4s · $0.002 · 57 tok
question
Take the first letter of each of these words, in order: prism, nova, comet, zephyr. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PNCZ
correctif.format.repeat-v1conf 99% · 2.0s · $0.001 · 23 tok
question
Write the word "flint" in capitalized form, repeated exactly 3 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FLINT_FLINT_FLINT
correctif.format.acronym-v1conf 99% · 2.2s · $0.004 · 121 tok
question
Take the second letter of each of these words, in order: ember, tundra, comet, prism, 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: MUORCE
correctif.constraints.stack-v1conf 99% · 2.6s · $0.010 · 372 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "echo" and the last word must be "tundra".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: echo of flint on flint sparks the dark city streets at night where flint stones glow like frozen tundra
correctif.format.repeat-v1conf 99% · 1.6s · $0.001 · 17 tok
question
Write the word "drift" in lowercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: drift/drift/drift
correctif.format.acronym-v1conf 99% · 1.9s · $0.003 · 104 tok
question
Take the second letter of each of these words, in order: comet, cedar, lumen, delta, 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: OEUEO
correctif.constraints.stack-v1conf 99% · 2.4s · $0.007 · 242 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 "comet" 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: comet trails guided us across vast lands where flint sparked fires and flint paths led to quartz
correctif.format.repeat-v1conf 99% · 2.2s · $0.001 · 35 tok
question
Write the word "ember" 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: EMBER_EMBER_EMBER_EMBER_EMBER_EMBER_EMBER_EMBER
correctif.constraints.stack-v1conf 99% · 2.4s · $0.011 · 394 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "drift" and the last word must be "tundra".
3. Use the word "delta" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: drift of snow covers the delta where cold winds blow across frozen fields and the delta ice stretches over the vast silent tundra
correctif.format.acronym-v1conf 99% · 2.5s · $0.001 · 32 tok
question
Take the first letter of each of these words, in order: nova, prism, tundra, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NPTO
correctif.format.repeat-v1conf 99% · 1.5s · $0.001 · 35 tok
question
Write the word "cedar" in capitalized form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR_CEDAR
correctif.constraints.stack-v1anchorconf 97% · 2.3s · $0.010 · 380 tok
model answer: drift through the silent city where each lumen glows like a pale star every lumen bright and neon lumen signs trace a gentle orbit
correctif.format.acronym-v1conf 99% · 1.7s · $0.002 · 74 tok
question
Take the first letter of each of these words, in order: drift, prism, lumen, quartz, basalt, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DPLQBE
correctif.format.repeat-v1anchorconf 99% · 1.9s · $0.002 · 59 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.acronym-v1anchorconf 99% · 1.9s · $0.002 · 56 tok
model answer: ZDFQ
correctif.format.repeat-v1anchorconf 99% · 1.9s · $0.001 · 41 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 99% · 5.4s · $0.001 · 18 tok
question
Identify 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 99% · 3.1s · $0.001 · 15 tok
question
What is 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 95% · 1.5s · $0.001 · 15 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 99% · 1.9s · $0.001 · 14 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 99% · 1.6s · $0.001 · 18 tok
question
Name the capital of Myanmar.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 99% · 2.0s · $0.001 · 18 tok
question
Identify the writer of the novel "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 99% · 1.7s · $0.001 · 18 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 99% · 1.8s · $0.001 · 13 tok
question
Identify the element whose symbol is Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 99% · 2.8s · $0.001 · 15 tok
question
Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 99% · 2.0s · $0.001 · 14 tok
question
What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 99% · 1.6s · $0.001 · 13 tok
question
Identify the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 99% · 1.9s · $0.001 · 17 tok
question
Identify the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 99% · 2.1s · $0.001 · 15 tok
question
Name the element whose symbol is 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 97% · 2.0s · $0.001 · 15 tok
question
What is the Kazakh capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 99% · 2.0s · $0.001 · 15 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 99% · 3.0s · $0.001 · 15 tok
question
What is the chemical element with symbol Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 99% · 1.7s · $0.001 · 18 tok
question
Identify the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 99% · 5.0s · $0.001 · 20 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 99% · 2.6s · $0.001 · 13 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 99% · 1.7s · $0.001 · 16 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 99% · 2.4s · $0.001 · 13 tok
question
Name the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 99% · 1.9s · $0.001 · 14 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 99% · 2.0s · $0.001 · 15 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 97% · 2.1s · $0.001 · 15 tok
question
Identify the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2anchorconf 99% · 5.5s · $0.001 · 13 tok
model answer: Mercury
correctknowledge.fr.factbank-v2conf 99% · 2.9s · $0.001 · 13 tok
question
Name the chemical element with symbol Pb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 99% · 1.7s · $0.001 · 18 tok
question
Name the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2anchorconf 99% · 1.8s · $0.001 · 15 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 99% · 2.6s · $0.001 · 15 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 99% · 2.1s · $0.001 · 13 tok
model answer: Lead
math 29/30 correct
correctmath.counterfactual.base-v1conf 99% · 6.8s · $0.014 · 550 tok
question
Work strictly in base 11. Multiply the base-11 numbers 82 and 63. 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: 4736
correctmath.chained.pipeline-v1conf 99% · 1.8s · $0.004 · 120 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 13 × 43.
Step 2: Q = P × 7 − 838.
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: 1025
correctmath.algebra.system-v2conf 99% · 5.0s · $0.008 · 283 tok
question
Solve the system, then answer the derived question.

3x + 2y = -35
2x − 4y = -66

What is the value of 5x − 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: -133
correctmath.percent.chain-v2conf 95% · 1.8s · $0.004 · 132 tok
question
An inventory starts at 17000 units. The delivery van has a 41-liter fuel tank. In the first month the inventory grows by 28%. The company was founded 158 kilometers from the port. The next month it shrinks by 42%, and the month after it grows by 39%. 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: 17542.91
correctmath.counterfactual.base-v1conf 99% · 2.1s · $0.019 · 726 tok
question
Work strictly in base 11. Multiply the base-11 numbers 74 and 57. 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: 3856
correctmath.arith.chain-v2conf 97% · 1.7s · $0.007 · 258 tok
question
Evaluate the expression below and give the result.

(((88 × 49 − 666) × 6 + 3785) − 91 × 28) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 69339
correctmath.chained.pipeline-v1conf 99% · 1.9s · $0.003 · 108 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 89 × 85.
Step 2: Q = P × 5 − 585.
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: 6210
correctmath.percent.chain-v2conf 97% · 1.8s · $0.004 · 143 tok
question
An inventory starts at 27000 units. Each pallet weighs about 54 grams more when wet. In the first month the inventory grows by 35%. Each pallet weighs about 29 grams more when wet. The next month it shrinks by 42%, and the month after it grows by 23%. 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: 26003.43
correctmath.algebra.system-v2conf 99% · 2.1s · $0.006 · 208 tok
question
Solve the system, then answer the derived question.

4x + 8y = -216
2x − 5y = 216

What is the value of 5x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 234
correctmath.arith.chain-v2conf 97% · 1.6s · $0.006 · 233 tok
question
Compute the value of the following expression.

(((97 × 39 − 645) × 5 + 2428) − 24 × 96) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 31628
correctmath.counterfactual.base-v1conf 99% · 2.0s · $0.011 · 436 tok
question
Work strictly in base 8. Multiply the base-8 numbers 115 and 30. 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: 3470
correctmath.chained.pipeline-v1conf 99% · 2.4s · $0.004 · 129 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 56 × 15.
Step 2: Q = P × 9 − 461.
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: 890
correctmath.percent.chain-v2conf 95% · 2.6s · $0.004 · 129 tok
question
An inventory starts at 12000 units. The warehouse was painted 11 years ago. In the first month the inventory grows by 12%. The warehouse was painted 10 years ago. The next month it shrinks by 42%, and the month after it grows by 8%. 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: 8418.82
correctmath.arith.chain-v2conf 99% · 2.3s · $0.010 · 395 tok
question
Calculate the following. Show your reasoning, then answer.

(((45 × 26 − 207) × 9 + 2169) − 78 × 28) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 25956
correctmath.algebra.system-v2conf 99% · 1.5s · $0.006 · 206 tok
question
Solve the system, then answer the derived question.

7x + 2y = 168
7x − 3y = 203

What is the value of 2x − 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: 94
correctmath.counterfactual.base-v1conf 99% · 3.7s · $0.005 · 179 tok
question
Work strictly in base 8. Add the base-8 numbers 5263 and 4402. 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: 11665
correctmath.chained.pipeline-v1conf 99% · 2.0s · $0.004 · 131 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 50 × 31.
Step 2: Q = P × 4 − 709.
Step 3: divide Q by 7: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 787
correctmath.percent.chain-v2conf 95% · 3.3s · $0.004 · 116 tok
question
An inventory starts at 42000 units. The warehouse was painted 96 years ago. In the first month the inventory grows by 37%. The delivery van has a 115-liter fuel tank. The next month it shrinks by 11%, and the month after it grows by 27%. 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: 65037.46
correctmath.algebra.system-v2conf 99% · 2.9s · $0.005 · 193 tok
question
Solve the system, then answer the derived question.

9x + 4y = 381
6x − 3y = 135

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: 69
correctmath.arith.chain-v2conf 99% · 1.8s · $0.006 · 212 tok
question
Compute the value of the following expression.

(((24 × 81 − 731) × 8 + 6055) − 56 × 98) × 5

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 51355
correctmath.counterfactual.base-v1conf 99% · 1.8s · $0.009 · 347 tok
question
Work strictly in base 8. Add the base-8 numbers 2407 and 3670. 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: 6277
correctmath.chained.pipeline-v1conf 99% · 2.8s · $0.004 · 117 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 81 × 61.
Step 2: Q = P × 5 − 266.
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: 3061
correctmath.percent.chain-v2conf 97% · 2.0s · $0.003 · 104 tok
question
An inventory starts at 3000 units. The company was founded 74 kilometers from the port. In the first month the inventory grows by 30%. The company was founded 20 kilometers from the port. The next month it shrinks by 23%, and the month after it grows by 11%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 3333.33
correctmath.algebra.system-v2conf 99% · 1.8s · $0.006 · 205 tok
question
Solve the system, then answer the derived question.

2x + 2y = 98
9x − 10y = 213

What is the value of 2x − 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: 2
correctmath.arith.chain-v2conf 97% · 2.0s · $0.006 · 222 tok
question
Calculate the following. Show your reasoning, then answer.

(((56 × 54 − 812) × 9 + 5173) − 55 × 34) × 3

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 69633
correctmath.counterfactual.base-v1anchorconf 99% · 1.8s · $0.012 · 452 tok
model answer: 11236
correctmath.chained.pipeline-v1conf 99% · 1.6s · $0.003 · 110 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 16 × 34.
Step 2: Q = P × 9 − 725.
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: 524
wrongmath.percent.chain-v2anchorconf 92% · 2.2s · $0.005 · 189 tok
model answer: 61868.12
correctmath.algebra.system-v2anchorconf 99% · 3.2s · $0.006 · 202 tok
model answer: 87
correctmath.arith.chain-v2anchorconf 97% · 1.9s · $0.006 · 234 tok
model answer: 108153
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 99% · 1.8s · $0.002 · 48 tok
question
A number is written in French: « deux cent soixante et un ». Another is written in Spanish: « seiscientos 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: 891
correctmultilingual.numword-v2conf 99% · 2.5s · $0.002 · 45 tok
question
Compute 71 + 284, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos cincuenta y cinco
correctmultilingual.wordnum-v1conf 99% · 1.5s · $0.003 · 82 tok
question
A number is written in French: « soixante-dix-huit ». Another is written in Spanish: « ochocientos diez ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 888
correctmultilingual.numword-v2conf 99% · 1.6s · $0.001 · 35 tok
question
Compute 87 + 120, 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 sept
correctmultilingual.wordnum-v1conf 99% · 1.7s · $0.002 · 54 tok
question
A number is written in French: « trois cent cinquante et un ». Another is written in Spanish: « setecientos ochenta y ocho ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1139
correctmultilingual.numword-v2conf 99% · 2.5s · $0.001 · 41 tok
question
Compute 93 + 128, 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 vingt et un
correctmultilingual.wordnum-v1conf 99% · 1.8s · $0.002 · 49 tok
question
A number is written in French: « six cent treize ». Another is written in Spanish: « doscientos dos ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 815
correctmultilingual.numword-v2conf 99% · 2.0s · $0.001 · 37 tok
question
Compute 420 + 200, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: six cent vingt
correctmultilingual.wordnum-v1conf 99% · 1.7s · $0.002 · 56 tok
question
A number is written in French: « huit cent seize ». Another is written in Spanish: « seiscientos ochenta y ocho ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1504
correctmultilingual.numword-v2conf 99% · 1.9s · $0.001 · 37 tok
question
Compute 142 + 269, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent onze
correctmultilingual.numword-v2conf 99% · 5.1s · $0.002 · 43 tok
question
Compute 118 + 173, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: doscientos noventa y uno
correctmultilingual.wordnum-v1conf 99% · 1.8s · $0.002 · 49 tok
question
A number is written in French: « deux cent quarante-quatre ». Another is written in Spanish: « seiscientos veintiuno ». 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: 865
correctmultilingual.wordnum-v1conf 99% · 2.2s · $0.002 · 55 tok
question
A number is written in French: « cinq cent trente-quatre ». Another is written in Spanish: « novecientos setenta y ocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -444
correctmultilingual.numword-v2conf 99% · 2.0s · $0.001 · 27 tok
question
Compute 356 + 53, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent neuf
correctmultilingual.wordnum-v1conf 99% · 2.1s · $0.002 · 54 tok
question
A number is written in French: « soixante-huit ». Another is written in Spanish: « setecientos doce ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 780
correctmultilingual.numword-v2conf 99% · 2.0s · $0.001 · 41 tok
question
Compute 126 + 102, 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 vingt-huit
correctmultilingual.wordnum-v1conf 99% · 1.7s · $0.002 · 55 tok
question
A number is written in French: « neuf cent trente-huit ». Another is written in Spanish: « doscientos noventa 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: 1234
correctmultilingual.numword-v2conf 99% · 1.6s · $0.001 · 41 tok
question
Compute 65 + 54, 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 dix-neuf
correctmultilingual.wordnum-v1conf 99% · 2.1s · $0.002 · 51 tok
question
A number is written in French: « quatre cent soixante-quatre ». Another is written in Spanish: « ochocientos cuarenta y dos ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -378
correctmultilingual.numword-v2conf 99% · 2.0s · $0.002 · 45 tok
question
Compute 83 + 390, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent soixante-treize
correctmultilingual.wordnum-v1conf 99% · 1.5s · $0.002 · 62 tok
question
A number is written in French: « deux cent quatre-vingt-dix-neuf ». Another is written in Spanish: « trescientos treinta y cuatro ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -35
correctmultilingual.numword-v2conf 99% · 1.7s · $0.002 · 45 tok
question
Compute 225 + 109, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos treinta y cuatro
correctmultilingual.wordnum-v1conf 99% · 1.7s · $0.002 · 54 tok
question
A number is written in French: « sept cent soixante ». Another is written in Spanish: « quinientos cuarenta y nueve ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 211
correctmultilingual.numword-v2conf 99% · 1.7s · $0.001 · 41 tok
question
Compute 425 + 107, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos treinta y dos
correctmultilingual.wordnum-v1conf 99% · 2.5s · $0.002 · 56 tok
question
A number is written in French: « deux cent quatre-vingt-douze ». Another is written in Spanish: « doscientos sesenta 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: 27
correctmultilingual.numword-v2conf 99% · 1.7s · $0.001 · 41 tok
question
Compute 279 + 252, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quinientos treinta y uno
correctmultilingual.wordnum-v1anchorconf 99% · 2.1s · $0.002 · 55 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 99% · 1.7s · $0.002 · 51 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 99% · 1.8s · $0.002 · 57 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 99% · 1.8s · $0.001 · 39 tok
model answer: seiscientos ocho
reasoning 29/30 correct
correctreasoning.deduction.order-v2conf 99% · 1.8s · $0.010 · 348 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Bruno is older than Alice. Bruno is older than Farah. Hana is older than Alice. Emil is older than Ines. Alice is older than Ines. Goran is older than Ines. Alice is older than Emil. Priya is taller than everyone here, but Priya is not being ranked. Goran is older than Bruno. Farah is older than Hana. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Farah
correctreasoning.deduction.position-v1conf 99% · 1.8s · $0.001 · 28 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Rosa. Liam is directly ahead of Priya. Priya is number 2 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.order-v2conf 99% · 2.7s · $0.009 · 325 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Mona. Priya is older than everyone here, but Priya is not being ranked. Kira is heavier than Emil. Liam is heavier than Jonas. Quinn is heavier than Emil. Jonas is heavier than Hana. Quinn is heavier than Kira. Quinn is heavier than Mona. Kira is heavier than Mona. Hana is heavier than Quinn. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.position-v1conf 99% · 1.9s · $0.001 · 15 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Quinn. Quinn is directly ahead of Kira. Kira is number 3 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
correctreasoning.deduction.order-v2conf 99% · 1.7s · $0.016 · 619 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Jonas is heavier than Bruno. Tessa is heavier than Chen. Sami is heavier than Nadir. Chen is heavier than Sami. Ines is faster than everyone here, but Ines is not being ranked. Tessa is heavier than Sami. Nadir is heavier than Jonas. Nadir is heavier than Bruno. Ola is heavier than Tessa. Ola is heavier than Nadir. 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 99% · 2.1s · $0.003 · 103 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Farah. Dara is directly ahead of Nadir. Farah is number 2 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.order-v2conf 99% · 2.1s · $0.007 · 251 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Alice is older than everyone here, but Alice is not being ranked. Mona is faster than Quinn. Ines is faster than Quinn. Mona is faster than Ines. Chen is faster than Bruno. Quinn is faster than Rosa. Dara is faster than Mona. Mona is faster than Rosa. Bruno is faster than Dara. Ines is faster than Rosa. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
correctreasoning.deduction.position-v1conf 99% · 2.2s · $0.002 · 44 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Hana. Hana is directly ahead of Tessa. Tessa is number 3 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.position-v1conf 99% · 2.5s · $0.004 · 125 tok
question
Four people stand in a queue (number 1 is the front). Ola is number 1 in the queue. Tessa is directly ahead of Bruno. Alice is directly ahead of Tessa. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.order-v2conf 99% · 2.2s · $0.008 · 293 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Bruno. Rosa is heavier than Kira. Alice is heavier than Dara. Liam is heavier than Ola. Kira is heavier than Dara. Alice is heavier than Rosa. Rosa is heavier than Dara. Nadir is taller than everyone here, but Nadir is not being ranked. Liam is heavier than Rosa. Bruno is heavier than Alice. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.order-v2conf 99% · 1.9s · $0.010 · 357 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Tessa is taller than Jonas. Ines is taller than Farah. Farah is taller than Jonas. Priya is taller than Jonas. Nadir is taller than Ines. Priya is taller than Nadir. Bruno is older than everyone here, but Bruno is not being ranked. Rosa is taller than Tessa. Rosa is taller than Jonas. Tessa is taller than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.position-v1conf 99% · 2.8s · $0.002 · 54 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Alice. Alice is number 3 in the queue. Chen is directly ahead of Priya. 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: Chen
correctreasoning.deduction.order-v2conf 99% · 2.0s · $0.009 · 327 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is taller than everyone here, but Alice is not being ranked. Rosa is older than Bruno. Nadir is older than Rosa. Rosa is older than Chen. Mona is older than Jonas. Rosa is older than Bruno. Jonas is older than Bruno. Liam is older than Mona. Chen is older than Bruno. Jonas is older than Nadir. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.position-v1conf 99% · 1.9s · $0.002 · 56 tok
question
Four people stand in a queue (number 1 is the front). Sami is directly ahead of Alice. Goran is number 3 in the queue. Alice is directly ahead of Goran. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
wrongreasoning.deduction.position-v1conf 35% · 2.2s · $0.021 · 801 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Dara. Farah is directly ahead of Mona. Dara is number 3 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: The fourth person is not identified by name in the given clues
correctreasoning.deduction.position-v1conf 99% · 2.8s · $0.002 · 59 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 3 in the queue. Emil is directly ahead of Mona. Hana is directly ahead of Emil. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 99% · 2.0s · $0.005 · 145 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Chen. Jonas is taller than Farah. Chen is taller than Ines. Quinn is taller than Jonas. Rosa is heavier than everyone here, but Rosa is not being ranked. Ines is taller than Sami. Ines is taller than Alice. Sami is taller than Alice. Chen is taller than Sami. Farah is taller than Alice. 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: Ines
correctreasoning.deduction.position-v1conf 99% · 1.6s · $0.002 · 64 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 3 in the queue. Priya is directly ahead of Nadir. Dara is directly ahead of Priya. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.order-v2conf 99% · 2.0s · $0.009 · 334 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Kira is taller than Priya. Alice is taller than Mona. Dara is taller than Kira. Mona is taller than Priya. Bruno is taller than Alice. Hana is faster than everyone here, but Hana is not being ranked. Bruno is taller than Priya. Alice is taller than Dara. Kira is taller than Mona. Quinn is taller than Bruno. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 99% · 7.2s · $0.011 · 382 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Liam. Sami is faster than everyone here, but Sami is not being ranked. Emil is heavier than Tessa. Chen is heavier than Quinn. Tessa is heavier than Quinn. Priya is heavier than Emil. Ola is heavier than Quinn. Tessa is heavier than Liam. Liam is heavier than Chen. Ola is heavier than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 99% · 1.8s · $0.010 · 378 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is taller than everyone here, but Alice is not being ranked. Chen is heavier than Hana. Chen is heavier than Ines. Ola is heavier than Bruno. Hana is heavier than Dara. Hana is heavier than Ines. Bruno is heavier than Ines. Priya is heavier than Ola. Ines is heavier than Dara. Hana is heavier than Priya. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 99% · 2.4s · $0.002 · 53 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Priya. Tessa is directly ahead of Emil. Emil is number 2 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.position-v1conf 99% · 2.0s · $0.003 · 104 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Sami. Sami is directly ahead of Emil. Ines is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.order-v2conf 99% · 2.0s · $0.011 · 406 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Quinn is older than Jonas. Ines is older than Sami. Jonas is older than Kira. Sami is older than Quinn. Tessa is older than Kira. Nadir is older than Kira. Tessa is older than Sami. Ines is older than Tessa. Jonas is older than Nadir. Mona is taller than everyone here, but Mona is not being ranked. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2conf 99% · 2.0s · $0.009 · 304 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Liam. Ines is older than Nadir. Ines is older than Alice. Goran is older than Chen. Liam is older than Ines. Quinn is older than Nadir. Alice is older than Quinn. Dara is taller than everyone here, but Dara is not being ranked. Alice is older than Nadir. Ines is older than Quinn. 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: Ines
correctreasoning.deduction.position-v1conf 99% · 1.5s · $0.001 · 24 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Alice. Farah is directly ahead of Rosa. Rosa is number 2 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.order-v2anchorconf 99% · 1.9s · $0.010 · 377 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 99% · 2.0s · $0.003 · 94 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 99% · 2.3s · $0.009 · 318 tok
model answer: Mona
correctreasoning.deduction.position-v1anchorconf 99% · 2.1s · $0.003 · 95 tok
model answer: Farah
terminal 30/30 correct
correctterminal.fs.tree-v1conf 98% · 1.9s · $0.025 · 944 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/conf`, `/proj/docs`):

```
/proj/docs/main.log
/proj/logs/draft.md
/proj/logs/setup.cfg
/proj/todo.txt
/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 docs/build-1
cd conf
rm ../../proj/logs/setup.cfg
touch ../../proj/docs/notes-3.txt
cd ../../proj/docs/build-1
mv ../../../proj/todo.txt ../../../proj/docs/
mv ../../../proj/docs/notes-3.txt ../../../proj/conf/
mv ../../../proj/conf/notes-3.txt ../../../proj/logs/
cd ../../../proj/docs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/docs/main.log /proj/docs/todo.txt /proj/logs/draft.md /proj/logs/notes-3.txt /proj/util.txt
correctterminal.exit.chain-v1conf 99% · 1.7s · $0.010 · 355 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F Z exit:0
correctterminal.pipeline.predict-v1conf 99% · 1.7s · $0.007 · 209 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,hr,25,36
jon,sales,27,57
oli,hr,55,92
ivy,ops,107,26
cy,sales,62,56
ned,eng,100,57
hal,ops,43,35
kim,sales,98,18
max,ops,12,33
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 43 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.fs.tree-v1conf 99% · 1.9s · $0.021 · 798 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/build`):

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

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

```sh
touch build/setup-8.txt
cp build/util.md conf/
mv todo.cfg util-4.md
cp build/util.md ./
mkdir -p conf/conf-5
touch conf/conf-5/main-7.cfg
cd conf
mkdir -p logs-1
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/index.log /proj/build/setup-8.txt /proj/build/util.md /proj/conf/conf-5/main-7.cfg /proj/conf/notes.cfg /proj/conf/util.md /proj/main.txt /proj/util-4.md /proj/util.md
correctterminal.exit.chain-v1conf 99% · 2.9s · $0.009 · 319 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E H Z exit:0
correctterminal.pipeline.predict-v1conf 99% · 1.8s · $0.004 · 120 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
dev,legal,85,38
cy,ops,85,44
ned,ops,26,73
max,sales,25,94
fay,legal,47,44
gus,sales,96,11
kim,sales,7,29
pam,ops,22,42
ana,sales,77,50
hal,hr,108,38
jon,eng,92,59
eli,hr,101,76
bo,ops,22,86
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 209
correctterminal.exit.chain-v1conf 99% · 2.2s · $0.010 · 355 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F exit:1
correctterminal.fs.tree-v1conf 99% · 1.8s · $0.016 · 580 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/src`, `/proj/logs`):

```
/proj/docs/draft.txt
/proj/logs/todo.txt
/proj/notes.cfg
/proj/src/index.log
/proj/util.cfg
```

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

```sh
touch src/main-8.txt
cd .
mv logs/todo.txt logs/setup-7.txt
cd logs
touch notes-1.md
mkdir -p assets-5
cd .
mkdir -p assets-5/logs-7
rm notes-1.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/docs/draft.txt /proj/logs/setup-7.txt /proj/notes.cfg /proj/src/index.log /proj/src/main-8.txt /proj/util.cfg
correctterminal.pipeline.predict-v1conf 99% · 2.4s · $0.007 · 230 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,sales,120,46
max,hr,89,23
ivy,hr,5,63
pam,ops,115,62
oli,legal,11,52
hal,sales,54,48
cy,sales,25,83
lou,ops,20,79
ned,ops,88,62
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ivy,5 max,89
correctterminal.fs.tree-v1conf 97% · 2.0s · $0.028 · 1065 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/docs`, `/proj/logs`):

```
/proj/build/util.txt
/proj/docs/draft.cfg
/proj/logs/todo.txt
/proj/notes.txt
/proj/report.log
```

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

```sh
cp logs/todo.txt docs/
cd logs
touch ../../proj/docs/report-2.md
cp ../../proj/notes.txt ../../proj/build/
mkdir -p logs-7
cd logs-7
touch ../../../proj/logs/notes-1.txt
mv ../../../proj/build/notes.txt ../../../proj/build/index-5.cfg
cp ../../../proj/build/util.txt ./
cp ../../../proj/docs/todo.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/build/index-5.cfg /proj/build/util.txt /proj/docs/draft.cfg /proj/docs/report-2.md /proj/docs/todo.txt /proj/logs/logs-7/todo.txt /proj/logs/logs-7/util.txt /proj/logs/notes-1.txt /proj/logs/todo.txt /proj/notes.txt /proj/report.log
correctterminal.exit.chain-v1conf 99% · 3.2s · $0.008 · 280 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F exit:1
correctterminal.pipeline.predict-v1conf 99% · 2.0s · $0.008 · 252 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,eng,83,24
hal,legal,33,75
fay,ops,71,88
ana,hr,49,64
pam,ops,16,73
bo,ops,86,51
ivy,eng,30,84
oli,legal,108,19
dev,legal,27,22
lou,legal,79,66
ned,ops,34,47
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' 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: hal,legal,33,75 lou,legal,79,66 oli,legal,108,19
correctterminal.fs.tree-v1conf 99% · 1.7s · $0.020 · 754 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/logs`, `/proj/build`):

```
/proj/build/report.md
/proj/index.txt
/proj/logs/notes.log
/proj/logs/todo.cfg
/proj/setup.cfg
```

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

```sh
cp build/report.md conf/
cd logs
mkdir -p ../../proj/build/src-9
cd .
mkdir -p ../../proj/docs-2
rm todo.cfg
rm ../../proj/index.txt
cd ../../proj/docs-2
touch ../../proj/build/src-9/setup-9.txt
rm ../../proj/build/src-9/setup-9.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/build/report.md /proj/conf/report.md /proj/logs/notes.log /proj/setup.cfg
correctterminal.exit.chain-v1conf 99% · 1.9s · $0.009 · 305 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q dune notes.txt && echo A || echo B
grep -q dune notes.txt && 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 D F exit:1
correctterminal.fs.tree-v1conf 97% · 2.3s · $0.027 · 1013 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/logs`, `/proj/src`):

```
/proj/logs/index.txt
/proj/logs/report.md
/proj/setup.txt
/proj/src/notes.md
/proj/todo.cfg
```

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

```sh
cp setup.txt logs/
mv todo.cfg report-6.cfg
touch logs/notes-3.log
mv report-6.cfg src/
cd conf
touch ../../proj/index-9.log
cd ../../proj/src
mkdir -p ../../proj/logs/assets-1
```

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/index-9.log /proj/logs/index.txt /proj/logs/notes-3.log /proj/logs/report.md /proj/logs/setup.txt /proj/setup.txt /proj/src/notes.md /proj/src/report-6.cfg
correctterminal.pipeline.predict-v1conf 99% · 1.7s · $0.007 · 229 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
hal,ops,53,55
bo,hr,8,83
oli,ops,48,37
cy,hr,82,87
gus,eng,5,31
lou,ops,19,68
dev,eng,49,77
ana,sales,118,83
eli,hr,7,45
fay,hr,46,42
kim,hr,95,10
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: gus,eng,5,31 dev,eng,49,77
correctterminal.exit.chain-v1conf 99% · 1.6s · $0.010 · 331 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E Z exit:0
correctterminal.pipeline.predict-v1conf 99% · 3.1s · $0.005 · 142 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,sales,17,17
ivy,hr,24,17
gus,ops,37,99
pam,eng,47,54
max,eng,116,32
eli,sales,93,21
bo,hr,87,48
oli,ops,97,14
ned,legal,78,90
dev,hr,28,22
lou,legal,118,19
kim,hr,85,90
hal,hr,71,27
jon,eng,16,24
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 196
correctterminal.fs.tree-v1conf 97% · 2.3s · $0.027 · 1032 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/assets/draft.log
/proj/docs/setup.md
/proj/main.txt
/proj/src/report.log
/proj/todo.cfg
```

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

```sh
touch src/index-7.md
cd assets
touch ../../proj/docs/setup-3.md
cd ../../proj/docs
mkdir -p ../../proj/assets/logs-1
mv ../../proj/main.txt ../../proj/src/
cp ../../proj/src/report.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/draft.log /proj/docs/report.log /proj/docs/setup-3.md /proj/docs/setup.md /proj/src/index-7.md /proj/src/main.txt /proj/src/report.log /proj/todo.cfg
correctterminal.exit.chain-v1conf 97% · 1.7s · $0.011 · 382 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F exit:1
correctterminal.pipeline.predict-v1conf 99% · 2.5s · $0.006 · 180 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,sales,97,82
jon,sales,29,83
kim,eng,47,77
ivy,hr,24,29
bo,legal,75,83
hal,hr,75,25
lou,sales,113,84
ana,hr,4,17
gus,hr,10,11
cy,eng,19,22
oli,ops,30,66
dev,sales,119,55
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 46 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.exit.chain-v1conf 99% · 2.1s · $0.012 · 407 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f data.txt && echo A || echo B
test -f tmp.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 data.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F H Z exit:0
correctterminal.fs.tree-v1conf 99% · 2.5s · $0.017 · 603 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/build`, `/proj/conf`):

```
/proj/conf/index.log
/proj/logs/draft.md
/proj/logs/notes.cfg
/proj/setup.md
/proj/todo.cfg
```

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

```sh
rm logs/notes.cfg
cd build
cp ../../proj/setup.md ../../proj/logs/
mkdir -p docs-3
mv ../../proj/logs/setup.md ../../proj/conf/
touch ../../proj/conf/setup-2.txt
rm ../../proj/setup.md
mkdir -p docs-3/build-4
cd ../../proj
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/index.log /proj/conf/setup-2.txt /proj/conf/setup.md /proj/logs/draft.md /proj/todo.cfg
correctterminal.pipeline.predict-v1conf 99% · 1.9s · $0.009 · 318 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,sales,16,77
max,ops,113,11
gus,legal,60,92
hal,eng,52,76
eli,ops,3,76
dev,legal,46,62
lou,eng,62,76
cy,legal,10,56
bo,eng,57,27
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,sales,16,77
correctterminal.exit.chain-v1conf 99% · 2.1s · $0.010 · 351 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E G exit:1
correctterminal.fs.tree-v1conf 97% · 1.8s · $0.018 · 681 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/logs`, `/proj/docs`):

```
/proj/assets/setup.cfg
/proj/assets/todo.cfg
/proj/assets/util.cfg
/proj/draft.txt
/proj/index.txt
```

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

```sh
mv assets/todo.cfg assets/setup-5.log
mkdir -p build-2
touch notes-9.log
cd .
touch build-2/report-9.log
touch assets/index-4.log
rm index.txt
cp assets/util.cfg logs/
touch docs/setup-9.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-4.log /proj/assets/setup-5.log /proj/assets/setup.cfg /proj/assets/util.cfg /proj/build-2/report-9.log /proj/docs/setup-9.log /proj/draft.txt /proj/logs/util.cfg /proj/notes-9.log
correctterminal.pipeline.predict-v1anchorconf 99% · 1.8s · $0.008 · 287 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.fs.tree-v1anchorconf 98% · 4.2s · $0.023 · 845 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 99% · 2.4s · $0.011 · 400 tok
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1anchorconf 99% · 1.8s · $0.006 · 197 tok
model answer: 1
vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 99% · 2.3s · $0.006 · 52 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: 32
correctvision.ocr.code-hunt-v1conf 97% · 2.4s · $0.005 · 15 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: PNC477
correctvision.ocr.table-read-v1conf 99% · 2.6s · $0.005 · 17 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: 27
correctvision.ocr.code-hunt-v1conf 97% · 2.3s · $0.005 · 18 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: VUXA39R4
correctvision.ocr.table-read-v1conf 99% · 2.5s · $0.006 · 50 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: 90
correctvision.ocr.code-hunt-v1conf 92% · 2.4s · $0.005 · 19 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: A9WDXXKT
correctvision.ocr.table-read-v1conf 99% · 2.4s · $0.006 · 37 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: 19
correctvision.ocr.code-hunt-v1conf 95% · 3.1s · $0.005 · 18 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: UAPE9JPN
correctvision.ocr.table-read-v1conf 98% · 2.3s · $0.006 · 38 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: 70
correctvision.ocr.table-read-v1conf 99% · 2.6s · $0.006 · 71 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: 265
correctvision.ocr.code-hunt-v1conf 97% · 2.7s · $0.005 · 18 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: JWUX3XP
correctvision.ocr.code-hunt-v1conf 95% · 3.5s · $0.005 · 16 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: TDD77E
correctvision.ocr.table-read-v1conf 99% · 2.4s · $0.006 · 39 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: 67
correctvision.ocr.table-read-v1conf 99% · 2.4s · $0.006 · 37 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: 93
correctvision.ocr.code-hunt-v1conf 97% · 2.5s · $0.005 · 21 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: KVV4XWMK
correctvision.ocr.code-hunt-v1conf 97% · 2.7s · $0.005 · 18 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: A9WXMNP
correctvision.ocr.table-read-v1conf 99% · 2.2s · $0.005 · 35 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: 44
correctvision.ocr.code-hunt-v1conf 92% · 2.3s · $0.005 · 18 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: HEXCUUA7
correctvision.ocr.table-read-v1conf 99% · 2.1s · $0.006 · 58 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 95
correctvision.ocr.code-hunt-v1conf 97% · 2.3s · $0.005 · 16 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: X7CT993
correctvision.ocr.table-read-v1conf 99% · 2.3s · $0.005 · 36 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: 59
correctvision.ocr.table-read-v1conf 99% · 2.5s · $0.006 · 73 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: 272
correctvision.ocr.code-hunt-v1conf 97% · 2.0s · $0.005 · 17 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: TW3E44
correctvision.ocr.code-hunt-v1conf 99% · 2.7s · $0.005 · 16 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: RXPDRE
correctvision.ocr.table-read-v1conf 99% · 3.5s · $0.006 · 63 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: 185
correctvision.ocr.code-hunt-v1conf 95% · 3.5s · $0.005 · 19 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: 7VC4YJ
correctvision.ocr.table-read-v1anchorconf 99% · 2.3s · $0.006 · 40 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 99% · 2.5s · $0.005 · 17 tok
model answer: VX7993D
correctvision.ocr.code-hunt-v1anchorconf 92% · 3.7s · $0.005 · 19 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 99% · 2.4s · $0.006 · 40 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit823
  • 2026-08-05v0.2.0index_fit823
  • 2026-08-05v0.2.0index_fit823
  • 2026-08-05v0.2.0index_fit823
  • 2026-08-05v0.2.0index_fit822
  • 2026-08-05v0.2.0index_fit822
  • 2026-08-05v0.2.0index_fit822
  • 2026-08-05v0.2.0index_fit822
  • 2026-08-05v0.2.0index_fit810
  • 2026-08-05v0.2.0index_fit810
  • 2026-08-05v0.2.0index_fit811
  • 2026-08-05v0.2.0index_fit810
  • 2026-08-05v0.2.0index_fit810
  • 2026-08-05v0.2.0index_fit811
  • 2026-08-05v0.2.0index_fit812
  • 2026-08-05v0.2.0index_fit807
  • 2026-08-05v0.2.0index_fit809
  • 2026-08-05v0.2.0index_fit811
  • 2026-08-05v0.2.0index_fit812
  • 2026-08-05v0.2.0index_fit817