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openai/gpt-5.5 · openai · context 1 050 000 · in $5.00/1M · out $30.00/1M

Global Index

804

95% CI [756851] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic835 [739931]
0.8130.870.960.038348ms$19.82
code875 [754996]
0.7921.001.000.000477ms$7.08
instruction following840 [710970]
0.7800.820.990.000345ms$6.01
knowledge725 [554897]
0.5421.001.000.000350ms$1.64
math834 [677991]
0.7231.001.000.000381ms$5.23
multilingual819 [654983]
0.6981.001.000.000427ms$3.92
reasoning857 [715999]
0.7621.001.000.000341ms$5.26
terminal697 [589804]
0.7091.000.870.154403ms$10.68
vision ocr751 [579922]
0.5871.000.990.000460ms$7.53

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 29/30 correct
correctagentic.tools.ledger-v1conf 100% · 332ms · $0.015 · 413 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: $645
- alpha: $542
- echo: $417

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $256 from "alpha" to "echo"
2. pay $339 from "bravo" to "echo"
3. pay $141 from "echo" to "alpha"
4. pay $597 from "alpha" to "echo"
5. pay $256 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": "echo", "amount": 256 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "echo", "amount": 339 } }, { "tool": "transfer", "args": { "from": "echo", "to": "alpha", "amount": 141 } }, { "tool": "top_up_from_reserve", "args": { "account": "alpha", "amount": 170 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "echo", "amount": 597 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "alpha", "amount": 256 } } ]
correctagentic.tools.context-load-v1conf 100% · 318ms · $0.049 · 1104 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 (204 records, format: id|customer|region|item|qty|status):
```
1076|ionic|east|rotor|75|shipped
1034|ember|south|valve|36|held
1293|acme|north|rotor|78|paid
1652|gale|west|gasket|11|held
1753|ember|west|cable|13|pending
1337|birch|east|panel|17|paid
1270|fulton|east|sensor|87|shipped
1405|cobalt|north|valve|96|held
1275|acme|north|sensor|70|pending
1846|gale|east|sensor|36|pending
1502|dorian|west|valve|20|paid
1710|ember|east|panel|75|held
1567|birch|west|cable|54|shipped
1254|gale|west|panel|67|pending
1727|birch|north|valve|78|shipped
1633|birch|west|rotor|30|pending
1188|fulton|north|rotor|69|held
1531|acme|south|sensor|83|pending
1784|ember|north|valve|37|paid
1448|gale|east|gasket|68|paid
1469|ionic|south|panel|38|paid
1488|fulton|north|pump|19|paid
1259|ember|south|sensor|96|held
1098|gale|south|gasket|56|paid
1426|fulton|east|rotor|93|shipped
1617|ember|north|cable|10|pending
1207|birch|east|sensor|83|pending
1759|birch|south|rotor|26|pending
1744|harbor|south|cable|17|pending
1323|acme|south|pump|64|pending
1622|harbor|west|panel|11|held
1074|harbor|west|panel|20|pending
1341|juno|east|frame|53|pending
1716|gale|west|gasket|43|held
1181|acme|west|cable|71|shipped
1449|acme|east|panel|33|pending
1223|acme|west|valve|71|held
1039|ember|south|panel|88|pending
1095|acme|north|gasket|50|shipped
1451|birch|east|gasket|17|pending
1747|acme|south|pump|71|shipped
1827|harbor|south|panel|90|shipped
1462|dorian|east|rotor|11|pending
1672|acme|west|sensor|18|paid
1130|ember|east|gasket|30|paid
1398|harbor|north|pump|37|paid
1370|dorian|south|gasket|20|paid
1361|ember|east|cable|17|paid
1626|dorian|east|pump|51|pending
1433|dorian|north|pump|11|paid
1487|acme|north|rotor|66|pending
1413|fulton|north|cable|85|paid
1862|ember|west|pump|22|shipped
1285|dorian|west|pump|99|pending
1578|gale|west|valve|73|shipped
1069|cobalt|south|panel|38|paid
1682|juno|north|gasket|74|paid
1117|ember|north|frame|62|pending
1143|acme|west|frame|99|pending
1154|ionic|south|panel|52|shipped
1789|harbor|north|frame|19|shipped
1594|acme|west|cable|84|held
1856|ember|north|pump|53|paid
1295|ember|west|rotor|77|shipped
1347|acme|north|frame|55|pending
1099|dorian|south|rotor|58|pending
1770|gale|south|panel|39|paid
1387|juno|south|panel|37|held
1079|gale|south|sensor|90|pending
1570|cobalt|north|rotor|79|pending
1706|ionic|south|frame|27|held
1656|acme|south|frame|90|paid
1755|acme|east|pump|36|pending
1369|acme|east|gasket|29|shipped
1811|birch|east|valve|37|pending
1218|acme|south|frame|82|pending
1052|ember|south|frame|16|paid
1548|ember|east|frame|36|paid
1512|ionic|west|pump|10|shipped
1481|gale|south|panel|68|held
1030|ember|north|valve|32|pending
1733|juno|north|cable|13|held
1233|cobalt|north|cable|52|held
1670|ember|east|sensor|46|held
1834|birch|north|panel|97|paid
1438|ionic|south|pump|67|paid
1231|birch|north|panel|49|pending
1720|dorian|south|frame|52|pending
1017|ember|east|rotor|13|pending
1639|ember|west|panel|24|shipped
1863|gale|west|sensor|10|pending
1183|birch|east|gasket|66|held
1792|fulton|west|frame|83|paid
1801|juno|west|gasket|97|pending
1024|ember|south|cable|70|shipped
1808|ionic|east|panel|22|held
1851|dorian|north|pump|96|pending
1371|harbor|north|cable|82|shipped
1442|ember|east|panel|61|held
1290|harbor|west|panel|87|pending
1266|harbor|west|pump|89|paid
1654|harbor|south|panel|55|paid
1391|dorian|west|panel|79|pending
1764|dorian|east|panel|72|paid
1176|juno|west|gasket|63|held
1410|acme|east|sensor|37|held
1740|fulton|south|gasket|45|pending
1375|ember|south|pump|94|shipped
1535|ember|south|panel|33|paid
1584|birch|east|pump|85|shipped
1802|birch|south|frame|75|paid
1704|gale|west|cable|39|shipped
1213|dorian|west|pump|37|paid
1362|harbor|south|gasket|93|paid
1474|gale|east|frame|48|pending
1776|dorian|south|gasket|63|shipped
1064|ionic|south|cable|34|shipped
1112|acme|west|cable|33|shipped
1823|acme|south|cable|87|held
1343|fulton|south|pump|35|pending
1287|cobalt|south|pump|56|pending
1557|fulton|south|cable|77|shipped
1274|ember|north|gasket|50|paid
1063|cobalt|south|valve|42|paid
1420|ember|north|rotor|25|paid
1491|dorian|west|panel|90|paid
1161|birch|north|valve|63|shipped
1300|acme|west|pump|84|pending
1576|cobalt|south|gasket|73|shipped
1566|acme|north|valve|45|shipped
1804|ember|west|gasket|19|held
1172|fulton|west|frame|20|held
1798|acme|north|pump|55|shipped
1205|acme|north|panel|10|paid
1179|dorian|south|gasket|65|pending
1416|juno|north|gasket|49|shipped
1329|fulton|east|panel|13|pending
1711|juno|east|rotor|29|pending
1439|acme|east|valve|32|held
1302|juno|east|gasket|71|pending
1059|juno|west|rotor|19|pending
1353|ionic|south|pump|22|held
1199|cobalt|south|valve|66|pending
1765|ember|west|valve|17|shipped
1840|harbor|west|sensor|53|held
1601|harbor|north|cable|29|shipped
1537|juno|east|pump|63|pending
1378|dorian|north|sensor|21|shipped
1607|ionic|north|gasket|51|paid
1137|juno|south|gasket|28|paid
1663|ember|north|panel|95|pending
1553|juno|south|rotor|90|shipped
1841|ember|east|gasket|43|paid
1241|dorian|east|valve|61|pending
1689|ember|east|gasket|50|shipped
1819|fulton|east|gasket|90|paid
1316|juno|south|gasket|58|shipped
1313|acme|west|panel|51|shipped
1194|fulton|north|gasket|84|paid
1544|fulton|south|frame|30|shipped
1328|cobalt|east|gasket|49|paid
1113|birch|east|panel|27|held
1088|birch|north|sensor|16|pending
1045|ember|north|sensor|29|pending
1700|juno|west|cable|96|shipped
1814|harbor|west|panel|29|paid
1508|gale|east|frame|30|pending
1278|ionic|north|frame|26|held
1383|harbor|east|rotor|26|shipped
1455|juno|east|rotor|59|shipped
1168|gale|north|sensor|58|paid
1525|ionic|south|valve|32|shipped
1261|fulton|north|panel|96|shipped
1495|fulton|west|cable|47|pending
1589|ionic|west|panel|28|shipped
1123|acme|south|rotor|67|shipped
1683|birch|west|panel|53|shipped
1676|birch|west|gasket|97|shipped
1559|harbor|east|cable|81|held
1082|gale|east|pump|24|pending
1613|acme|north|rotor|23|pending
1517|ember|west|valve|92|paid
1696|fulton|west|pump|12|shipped
1147|cobalt|west|pump|50|paid
1026|ember|south|rotor|99|pending
1311|ionic|south|sensor|37|paid
1234|birch|north|sensor|30|paid
1778|acme|south|sensor|62|pending
1436|ember|north|valve|37|shipped
1297|ember|north|panel|72|paid
1452|juno|north|valve|60|pending
1248|harbor|east|rotor|74|shipped
1012|ember|south|frame|98|pending
1097|ember|west|frame|83|pending
1359|gale|west|frame|78|shipped
1106|dorian|east|pump|56|pending
1518|juno|north|rotor|81|shipped
1224|ember|south|rotor|79|paid
1282|dorian|south|panel|85|shipped
1336|acme|west|gasket|75|paid
1651|gale|north|cable|18|held
1644|ember|north|panel|70|pending
1182|gale|north|panel|82|held
1307|harbor|north|frame|70|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"restock","args":{"item":"frame","qty":98}}, {"tool":"restock","args":{"item":"rotor","qty":99}}, {"tool":"restock","args":{"item":"panel","qty":88}} ]
correctagentic.tools.triage-v1conf 100% · 370ms · $0.017 · 476 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "refund double-charged" (category: payments, priority 3)
2. "API latency spikes" (category: infra, priority 4)
3. "API latency spikes" (category: infra, priority 4)
4. "card declined at checkout" (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": "refund double-charged", "priority": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "rivera" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "dubois" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 4 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-4" } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "rivera" } } ]
correctagentic.tools.deploy-v1conf 100% · 492ms · $0.010 · 295 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)
- billing: auth-svc, gateway
- search: billing, gateway
- auth-svc: 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": "auth-svc" } }, { "tool": "deploy", "args": { "service": "billing" } }, { "tool": "deploy", "args": { "service": "search" } } ]
correctagentic.tools.ledger-v1conf 100% · 1.0s · $0.016 · 469 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $259
- bravo: $800
- echo: $529

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $379 from "lima" to "echo"
2. pay $509 from "bravo" to "echo"
3. pay $282 from "bravo" to "echo"
4. pay $410 from "lima" to "echo"
5. pay $219 from "lima" 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": "top_up_from_reserve", "args": { "account": "lima", "amount": 120 } }, { "tool": "transfer", "args": { "from": "lima", "to": "echo", "amount": 379 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "echo", "amount": 509 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "echo", "amount": 282 } }, { "tool": "top_up_from_reserve", "args": { "account": "lima", "amount": 410 } }, { "tool": "transfer", "args": { "from": "lima", "to": "echo", "amount": 410 } }, { "tool": "top_up_from_reserve", "args": { "account": "lima", "amount": 219 } }, { "tool": "transfer", "args": { "from": "lima", "to": "bravo", "amount": 219 } } ]
correctagentic.tools.context-load-v1conf 100% · 305ms · $0.031 · 612 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 (157 records, format: id|customer|region|item|qty|status):
```
1247|fulton|south|panel|39|held
1455|juno|north|frame|90|held
1772|gale|north|valve|86|pending
1341|acme|east|pump|82|pending
1482|dorian|north|rotor|65|pending
1264|cobalt|west|panel|47|pending
1312|birch|south|cable|63|held
1563|ionic|north|valve|55|paid
1364|dorian|east|panel|72|paid
1586|gale|north|frame|28|shipped
1655|cobalt|east|rotor|48|held
1239|ionic|west|gasket|33|pending
1593|ionic|west|panel|67|paid
1728|harbor|south|pump|12|paid
1544|ember|east|frame|46|pending
1476|harbor|east|sensor|88|shipped
1674|juno|north|gasket|51|pending
1712|ember|south|panel|68|pending
1512|cobalt|west|sensor|69|held
1246|ember|north|panel|31|pending
1367|ember|west|sensor|67|paid
1496|juno|north|gasket|32|shipped
1278|ionic|north|sensor|40|pending
1477|acme|south|frame|47|held
1353|gale|east|panel|82|paid
1212|juno|north|panel|76|held
1639|cobalt|south|cable|46|held
1354|birch|south|sensor|79|shipped
1762|dorian|west|cable|88|shipped
1359|dorian|south|sensor|70|pending
1372|fulton|east|cable|56|pending
1632|gale|north|valve|75|held
1768|fulton|east|frame|88|shipped
1321|dorian|south|sensor|25|pending
1423|birch|west|sensor|15|shipped
1334|birch|east|pump|97|shipped
1502|dorian|east|frame|53|held
1534|fulton|north|rotor|41|pending
1290|ionic|south|cable|58|pending
1570|harbor|north|rotor|51|pending
1189|juno|north|frame|97|pending
1243|juno|south|gasket|25|shipped
1537|cobalt|west|gasket|13|pending
1518|birch|south|rotor|15|held
1333|cobalt|west|pump|58|shipped
1796|acme|east|sensor|87|shipped
1376|ember|south|rotor|98|paid
1509|birch|south|cable|55|held
1734|dorian|east|cable|64|pending
1659|ionic|north|gasket|75|paid
1578|ionic|east|pump|32|paid
1627|acme|west|rotor|56|paid
1459|acme|west|frame|37|paid
1595|harbor|south|gasket|67|held
1208|juno|south|cable|51|pending
1551|acme|south|frame|82|held
1730|birch|south|panel|69|paid
1790|cobalt|east|panel|19|shipped
1418|birch|south|sensor|66|shipped
1202|juno|north|frame|91|pending
1251|fulton|west|valve|99|paid
1274|gale|north|rotor|86|paid
1256|acme|east|valve|12|shipped
1583|dorian|east|frame|57|shipped
1635|fulton|south|frame|70|paid
1784|gale|east|frame|72|paid
1677|ionic|west|rotor|22|shipped
1213|juno|north|rotor|43|pending
1622|ionic|north|rotor|80|shipped
1758|acme|west|pump|42|held
1284|dorian|east|frame|30|pending
1409|cobalt|east|cable|68|shipped
1306|gale|west|cable|16|shipped
1489|fulton|north|valve|32|paid
1198|juno|north|rotor|39|paid
1673|juno|east|rotor|28|paid
1575|juno|east|frame|89|paid
1529|gale|south|frame|61|held
1343|ionic|south|cable|85|held
1337|ember|east|cable|81|pending
1387|fulton|west|panel|41|pending
1430|juno|north|valve|55|shipped
1391|dorian|south|rotor|91|held
1392|ember|west|cable|74|shipped
1381|ionic|north|frame|98|held
1248|dorian|east|pump|60|paid
1371|juno|north|pump|24|pending
1527|ionic|east|valve|54|held
1778|gale|west|panel|93|paid
1228|fulton|west|frame|77|paid
1642|gale|west|valve|72|paid
1328|dorian|west|cable|36|pending
1599|harbor|east|valve|78|pending
1426|birch|east|rotor|11|shipped
1230|cobalt|south|rotor|27|paid
1520|dorian|south|valve|70|held
1715|juno|north|sensor|30|held
1744|dorian|east|panel|74|shipped
1315|ember|east|valve|90|shipped
1249|dorian|north|cable|62|pending
1452|acme|north|rotor|31|shipped
1297|harbor|south|gasket|16|pending
1260|ember|south|sensor|48|paid
1788|juno|south|panel|72|paid
1220|cobalt|west|rotor|72|shipped
1215|juno|east|frame|28|pending
1311|ionic|east|frame|17|held
1433|juno|north|frame|41|held
1615|cobalt|west|sensor|39|paid
1609|dorian|south|frame|32|paid
1474|gale|north|sensor|53|shipped
1470|cobalt|south|valve|73|held
1626|birch|west|panel|73|paid
1685|dorian|north|rotor|93|held
1690|dorian|west|cable|10|pending
1216|juno|north|pump|90|paid
1194|juno|west|panel|10|pending
1679|gale|east|rotor|65|held
1268|dorian|west|cable|10|paid
1402|ember|south|cable|37|shipped
1346|fulton|north|valve|11|pending
1749|acme|east|gasket|34|pending
1664|cobalt|north|pump|78|paid
1726|dorian|north|panel|98|held
1232|fulton|north|pump|86|shipped
1703|fulton|south|panel|13|held
1706|dorian|south|gasket|24|paid
1603|harbor|east|gasket|51|pending
1738|birch|east|rotor|93|paid
1428|gale|south|panel|27|pending
1672|cobalt|west|cable|95|paid
1648|juno|north|panel|72|held
1303|acme|north|gasket|93|pending
1263|birch|south|sensor|35|shipped
1558|ionic|south|valve|34|shipped
1755|harbor|south|frame|39|pending
1223|harbor|north|valve|89|shipped
1436|birch|west|cable|97|paid
1630|juno|south|panel|29|paid
1317|harbor|south|cable|95|paid
1457|cobalt|south|sensor|60|shipped
1697|acme|east|frame|71|shipped
1398|ionic|south|sensor|20|paid
1560|dorian|east|cable|48|held
1687|gale|north|sensor|23|paid
1429|ember|south|sensor|83|pending
1669|dorian|east|pump|31|pending
1722|acme|east|frame|65|shipped
1445|cobalt|north|valve|32|shipped
1777|cobalt|north|pump|11|held
1463|fulton|north|gasket|56|held
1414|harbor|east|cable|41|held
1617|gale|south|gasket|10|pending
1344|birch|west|rotor|80|paid
1442|gale|south|pump|67|paid
1693|acme|east|panel|72|shipped
1308|juno|north|pump|20|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, 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": 97 } }, { "tool": "restock", "args": { "item": "frame", "qty": 91 } }, { "tool": "cancel_order", "args": { "order_id": 1213 } }, { "tool": "cancel_order", "args": { "order_id": 1371 } }, { "tool": "cancel_order", "args": { "order_id": 1674 } } ]
correctagentic.tools.triage-v1conf 100% · 431ms · $0.013 · 338 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 → chen
- data → dubois
- auth → silva

INCIDENTS:
1. "API latency spikes" (category: infra, priority 6)
2. "records missing after import" (category: data, priority 6)
3. "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": "API latency spikes", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "dubois" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 6 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } } ]
correctagentic.tools.triage-v1conf 100% · 271ms · $0.020 · 587 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → rivera
- data → okafor
- infra → novak

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 8)
2. "records missing after import" (category: data, priority 3)
3. "records missing after import" (category: data, priority 3)
4. "cannot reset password" (category: auth, 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": "SSO loop on login", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "rivera" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 3 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }, { "tool": "create_ticket", "args": { "title": "cannot reset password", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-4" } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "rivera" } } ]
correctagentic.tools.deploy-v1conf 100% · 374ms · $0.008 · 220 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "deploy", "args": { "service": "search" } }, { "tool": "deploy", "args": { "service": "gateway" } }, { "tool": "deploy", "args": { "service": "reports" } }, { "tool": "deploy", "args": { "service": "billing" } }, { "tool": "health_check", "args": { "service": "billing" } } ]
correctagentic.tools.ledger-v1conf 100% · 268ms · $0.013 · 371 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: $626
- tango: $364
- bravo: $531

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $279 from "delta" to "tango"
2. pay $168 from "bravo" to "delta"
3. pay $300 from "bravo" to "tango"
4. pay $300 from "tango" to "bravo"
5. pay $305 from "delta" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "transfer", "args": { "from": "delta", "to": "tango", "amount": 279 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "delta", "amount": 168 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "tango", "amount": 300 } }, { "tool": "transfer", "args": { "from": "tango", "to": "bravo", "amount": 300 } }, { "tool": "transfer", "args": { "from": "delta", "to": "tango", "amount": 305 } } ]
correctagentic.tools.context-load-v1conf 99% · 407ms · $0.043 · 697 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 (274 records, format: id|customer|region|item|qty|status):
```
1557|ember|north|gasket|33|shipped
1631|juno|east|pump|55|shipped
1562|gale|east|frame|82|paid
2382|acme|west|sensor|45|held
1598|harbor|west|gasket|70|held
2486|ember|west|cable|26|paid
2407|ionic|south|sensor|14|held
1734|ember|south|cable|73|shipped
2305|juno|south|pump|26|pending
1906|juno|east|rotor|91|pending
2326|juno|north|rotor|53|pending
1866|harbor|east|frame|92|paid
1507|cobalt|south|pump|63|shipped
1909|cobalt|north|panel|52|pending
2037|cobalt|west|gasket|61|pending
1483|cobalt|south|sensor|38|held
1668|gale|east|gasket|83|shipped
1746|birch|west|gasket|23|pending
2296|juno|north|panel|81|paid
1642|birch|west|panel|18|pending
1801|harbor|east|frame|67|held
1858|fulton|south|cable|14|held
1791|cobalt|north|valve|25|pending
1806|cobalt|west|gasket|72|shipped
2419|acme|east|frame|55|held
1927|acme|south|panel|97|paid
2206|juno|east|frame|34|shipped
1844|ionic|north|gasket|27|held
1534|dorian|north|valve|42|held
1690|ionic|east|valve|98|shipped
1961|dorian|south|valve|19|held
1704|acme|south|panel|78|shipped
2516|ionic|north|valve|26|held
1900|ionic|north|rotor|97|shipped
2167|harbor|south|frame|62|paid
1564|fulton|south|cable|60|paid
1999|cobalt|north|pump|86|paid
2043|dorian|west|sensor|63|pending
1859|fulton|south|pump|74|paid
1594|ember|east|pump|60|shipped
2145|gale|south|sensor|86|held
2530|fulton|north|gasket|59|pending
2513|birch|south|valve|24|paid
1944|gale|west|pump|25|shipped
1497|cobalt|south|rotor|42|shipped
1618|ember|east|gasket|85|pending
1662|juno|east|rotor|33|held
2000|gale|south|sensor|71|paid
1781|birch|west|gasket|69|shipped
2087|birch|north|frame|42|paid
2106|fulton|west|gasket|29|pending
2373|birch|west|frame|61|shipped
2299|birch|south|cable|80|pending
1823|juno|south|cable|74|shipped
2256|birch|south|rotor|86|shipped
1714|birch|west|frame|43|pending
2268|acme|west|valve|78|pending
2312|acme|west|sensor|29|pending
1617|cobalt|east|frame|28|pending
1447|cobalt|north|valve|42|pending
2133|birch|east|gasket|69|paid
1674|fulton|east|gasket|24|shipped
1719|acme|west|valve|37|pending
1681|ember|south|valve|65|paid
2386|gale|south|gasket|19|shipped
1963|cobalt|east|gasket|51|shipped
2405|gale|north|pump|69|shipped
2523|juno|south|panel|13|shipped
1478|cobalt|west|rotor|20|pending
1918|fulton|east|pump|25|shipped
2111|harbor|south|sensor|58|shipped
2053|gale|south|sensor|74|paid
1636|acme|east|rotor|81|paid
1629|ember|north|pump|13|shipped
1855|juno|south|rotor|27|held
1878|gale|north|valve|96|pending
1812|harbor|south|gasket|51|shipped
1841|ember|east|sensor|48|held
1785|gale|south|sensor|42|paid
2194|harbor|south|rotor|12|held
2392|juno|south|rotor|88|paid
2414|acme|south|panel|37|paid
2118|fulton|south|panel|35|pending
2019|acme|south|pump|29|shipped
1722|ionic|north|frame|81|paid
2344|cobalt|south|valve|63|shipped
1490|cobalt|south|sensor|59|pending
2550|acme|north|valve|39|shipped
1851|birch|north|rotor|82|held
1623|gale|east|rotor|85|pending
1698|dorian|south|valve|97|shipped
1555|dorian|north|pump|41|paid
1558|gale|west|cable|22|paid
2451|ember|south|gasket|49|pending
1514|dorian|east|pump|53|pending
2512|harbor|north|rotor|38|shipped
2066|fulton|west|rotor|94|pending
2479|fulton|north|frame|38|paid
2101|harbor|south|gasket|81|pending
2183|fulton|north|gasket|63|paid
1580|gale|east|frame|56|shipped
2016|acme|north|sensor|58|held
2079|ember|south|valve|47|shipped
1653|dorian|west|frame|30|paid
2072|ionic|east|valve|98|pending
1648|gale|east|pump|44|pending
2154|ember|north|cable|68|shipped
1794|ember|north|panel|64|paid
1473|cobalt|south|cable|94|pending
1683|dorian|north|sensor|77|paid
1586|ionic|south|sensor|34|shipped
1940|ember|south|pump|29|paid
2319|fulton|south|rotor|60|held
2398|fulton|south|panel|77|pending
2309|juno|north|sensor|38|paid
2445|birch|east|panel|73|held
1527|dorian|east|panel|90|shipped
2059|ember|west|gasket|30|pending
1535|fulton|south|gasket|69|held
2042|dorian|west|panel|93|pending
1763|juno|north|frame|56|shipped
1694|gale|north|valve|25|paid
1641|ember|east|pump|10|pending
2181|ember|west|valve|39|held
2489|birch|west|valve|53|shipped
2196|cobalt|west|cable|59|shipped
1624|ionic|east|panel|62|held
1967|dorian|south|panel|19|held
1860|juno|west|sensor|28|paid
2012|dorian|south|panel|75|shipped
1726|dorian|west|cable|10|paid
1970|cobalt|west|rotor|90|shipped
2234|gale|south|valve|77|paid
2081|juno|north|gasket|94|held
2127|gale|north|pump|30|held
2006|birch|west|cable|60|paid
1549|dorian|south|cable|91|held
1440|cobalt|south|gasket|51|pending
2311|ionic|east|gasket|98|held
2503|ember|north|panel|21|pending
2336|fulton|south|panel|47|held
2428|gale|east|valve|87|held
2280|juno|east|gasket|65|held
2046|birch|north|panel|98|paid
1612|dorian|west|pump|21|held
1932|fulton|north|panel|67|pending
1597|ionic|south|frame|32|held
2439|harbor|north|frame|95|pending
2297|ionic|east|panel|19|shipped
1984|dorian|east|sensor|88|paid
2259|birch|south|valve|42|held
2265|juno|west|cable|47|paid
1500|cobalt|south|frame|59|pending
2475|ionic|west|gasket|85|paid
2352|harbor|south|valve|39|shipped
1992|acme|east|pump|79|shipped
1769|dorian|north|panel|29|pending
1893|birch|east|rotor|25|held
2030|gale|south|sensor|99|held
2545|fulton|east|pump|73|held
1522|dorian|south|panel|89|pending
2285|birch|east|rotor|71|paid
1971|fulton|east|gasket|47|shipped
2156|birch|east|cable|56|shipped
1998|fulton|west|cable|94|shipped
1776|juno|east|sensor|34|paid
2354|harbor|west|panel|31|pending
1890|ionic|south|gasket|33|held
1547|acme|south|sensor|14|shipped
2207|gale|north|cable|91|shipped
2339|dorian|north|sensor|32|shipped
2115|ionic|west|gasket|62|paid
2531|fulton|east|valve|95|held
2025|harbor|south|panel|27|held
1836|cobalt|west|cable|59|shipped
1750|fulton|south|valve|65|held
1604|ember|east|frame|21|pending
2140|dorian|east|sensor|29|held
2308|birch|south|sensor|28|pending
1551|cobalt|south|valve|99|shipped
2362|acme|west|gasket|23|pending
2044|ionic|west|panel|78|pending
2422|gale|south|rotor|21|pending
1937|gale|west|valve|66|pending
1454|cobalt|south|panel|58|held
2496|gale|west|rotor|94|pending
1740|gale|west|pump|37|shipped
2217|birch|north|cable|94|held
2357|harbor|east|cable|51|pending
1989|juno|north|valve|27|held
2274|birch|north|frame|88|held
2176|gale|east|sensor|90|pending
1979|harbor|west|gasket|19|held
2460|fulton|south|frame|20|shipped
1460|cobalt|south|rotor|20|pending
2172|juno|south|valve|99|pending
1816|harbor|west|frame|14|paid
2180|birch|east|valve|22|paid
1991|ionic|east|rotor|38|held
1924|cobalt|north|valve|40|held
1954|fulton|east|pump|77|held
1542|dorian|west|gasket|83|shipped
1466|cobalt|west|panel|33|pending
2539|acme|south|frame|66|shipped
1649|birch|east|valve|21|paid
1608|harbor|east|frame|38|shipped
2241|ionic|north|gasket|76|shipped
1570|birch|north|rotor|55|paid
1911|gale|south|frame|66|pending
1526|juno|west|gasket|60|held
1720|dorian|south|rotor|55|paid
2466|cobalt|north|gasket|27|held
1756|juno|south|valve|61|held
1593|dorian|east|panel|18|held
2368|acme|east|rotor|30|shipped
2200|juno|north|rotor|52|pending
2298|cobalt|north|frame|85|shipped
1949|birch|north|rotor|32|paid
2244|ember|north|cable|16|held
2477|acme|east|rotor|65|paid
2017|gale|east|gasket|23|held
2376|juno|north|sensor|94|held
1679|dorian|west|cable|75|shipped
2210|cobalt|west|valve|52|held
2528|ember|west|sensor|21|shipped
1881|ember|west|valve|91|held
2281|ionic|east|valve|18|paid
2314|acme|south|cable|41|shipped
1673|birch|south|panel|90|paid
2349|harbor|north|valve|32|pending
2121|ionic|north|pump|61|held
1546|ember|south|sensor|92|pending
1981|juno|west|valve|67|shipped
2470|cobalt|west|sensor|34|shipped
1573|cobalt|west|gasket|25|held
2089|fulton|south|panel|28|shipped
1643|cobalt|south|sensor|88|held
1505|cobalt|west|panel|59|pending
1886|gale|west|gasket|63|shipped
2434|juno|north|panel|11|shipped
2538|juno|south|cable|46|shipped
2109|gale|west|sensor|69|paid
2507|dorian|south|panel|67|pending
2456|ionic|south|frame|52|held
2164|birch|north|gasket|10|pending
1658|harbor|north|valve|51|held
2014|cobalt|north|rotor|58|shipped
1520|juno|east|pump|30|held
2288|ionic|west|panel|81|held
1650|dorian|north|pump|51|pending
2223|harbor|east|cable|17|held
1872|ember|south|sensor|37|shipped
1467|cobalt|south|rotor|21|shipped
1495|cobalt|east|pump|92|pending
2214|juno|north|cable|13|paid
2095|cobalt|north|panel|21|pending
2236|juno|east|cable|70|shipped
2097|gale|south|pump|46|held
1829|fulton|south|cable|47|pending
1708|ember|west|cable|32|pending
2147|juno|north|rotor|34|shipped
2033|fulton|east|valve|20|pending
1729|acme|west|valve|51|pending
2476|harbor|north|sensor|17|shipped
2158|birch|south|cable|26|shipped
2330|gale|south|sensor|31|pending
2250|fulton|east|frame|68|paid
2289|acme|south|sensor|58|shipped
2187|fulton|west|pump|45|paid
1973|cobalt|south|gasket|26|held
2278|dorian|west|frame|75|held
2400|dorian|west|cable|65|shipped
2141|birch|east|rotor|15|shipped
2229|dorian|south|valve|15|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, 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": 51 } }, { "tool": "cancel_order", "args": { "order_id": 1460 } }, { "tool": "restock", "args": { "item": "cable", "qty": 94 } }, { "tool": "restock", "args": { "item": "sensor", "qty": 59 } }, { "tool": "restock", "args": { "item": "frame", "qty": 59 } } ]
correctagentic.tools.ledger-v1conf 100% · 326ms · $0.015 · 446 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- delta: $299
- oscar: $690
- tango: $589

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $477 from "oscar" to "tango"
2. pay $440 from "tango" to "delta"
3. pay $544 from "oscar" to "tango"
4. pay $546 from "oscar" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "transfer", "args": { "from": "oscar", "to": "tango", "amount": 477 } }, { "tool": "transfer", "args": { "from": "tango", "to": "delta", "amount": 440 } }, { "tool": "top_up_from_reserve", "args": { "account": "oscar", "amount": 331 } }, { "tool": "transfer", "args": { "from": "oscar", "to": "tango", "amount": 544 } }, { "tool": "top_up_from_reserve", "args": { "account": "oscar", "amount": 546 } }, { "tool": "transfer", "args": { "from": "oscar", "to": "delta", "amount": 546 } } ]
correctagentic.tools.deploy-v1conf 100% · 564ms · $0.009 · 237 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: notifier
- notifier: (none)
- billing: reports
- search: billing, reports

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "notifier" } }, { "tool": "deploy", "args": { "service": "reports" } }, { "tool": "deploy", "args": { "service": "billing" } }, { "tool": "deploy", "args": { "service": "search" } }, { "tool": "health_check", "args": { "service": "search" } } ]
correctagentic.tools.context-load-v1conf 100% · 283ms · $0.034 · 517 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 (235 records, format: id|customer|region|item|qty|status):
```
1119|birch|south|valve|90|pending
1849|harbor|east|sensor|41|held
1343|fulton|north|rotor|26|shipped
1367|acme|north|cable|77|held
1972|dorian|east|valve|90|pending
1547|dorian|north|pump|50|shipped
1887|ember|east|rotor|25|pending
1585|gale|east|valve|19|pending
1942|fulton|west|cable|19|shipped
1338|juno|south|pump|28|held
1758|fulton|east|valve|55|pending
1553|dorian|south|sensor|54|paid
1425|fulton|north|rotor|85|held
1219|ionic|west|panel|45|held
1533|fulton|east|panel|35|paid
1447|acme|south|cable|14|paid
1073|cobalt|south|sensor|30|pending
1831|fulton|east|gasket|63|pending
1102|cobalt|west|rotor|54|pending
1245|fulton|east|frame|98|shipped
1522|fulton|south|pump|74|shipped
1149|birch|north|sensor|54|pending
1463|gale|west|valve|54|paid
1801|dorian|south|panel|80|pending
1873|acme|west|cable|85|held
1657|ionic|east|cable|74|paid
1646|ember|west|valve|65|held
1191|cobalt|south|valve|76|shipped
1594|birch|west|pump|26|held
1404|cobalt|west|pump|38|shipped
1555|acme|north|panel|70|paid
1540|juno|south|frame|84|paid
1185|cobalt|east|cable|25|held
1200|harbor|north|rotor|23|shipped
1813|dorian|north|panel|49|pending
1677|cobalt|north|valve|40|pending
1060|cobalt|south|panel|60|pending
1413|ionic|west|gasket|42|paid
1717|harbor|east|valve|36|shipped
1834|birch|south|valve|16|paid
1807|ionic|east|gasket|67|held
1166|fulton|east|gasket|23|paid
1595|cobalt|west|gasket|43|paid
1962|harbor|west|rotor|31|pending
1749|dorian|south|panel|93|pending
1774|fulton|east|rotor|59|held
1069|cobalt|west|rotor|94|pending
1232|harbor|west|sensor|38|held
1399|harbor|north|panel|26|pending
1965|ember|east|cable|83|pending
1904|ember|south|sensor|14|shipped
1840|gale|east|cable|59|shipped
1242|gale|south|cable|44|pending
1055|cobalt|west|panel|64|pending
1132|dorian|east|cable|12|held
1354|fulton|east|valve|99|paid
1642|juno|south|sensor|67|pending
1899|fulton|west|panel|55|pending
1761|cobalt|south|pump|37|held
1486|ionic|north|frame|84|paid
1394|ionic|south|sensor|29|paid
1785|ember|west|sensor|30|shipped
1558|fulton|east|cable|43|held
1239|acme|east|valve|99|shipped
1931|dorian|west|rotor|96|paid
1662|fulton|south|sensor|71|held
1147|ionic|north|gasket|11|pending
1589|dorian|north|cable|41|shipped
1796|birch|north|cable|54|pending
1613|harbor|east|cable|70|held
1982|harbor|north|valve|40|pending
1911|dorian|west|gasket|28|pending
1063|cobalt|west|frame|13|held
1935|cobalt|north|frame|46|paid
1276|cobalt|west|gasket|80|shipped
1649|ionic|west|rotor|61|pending
1375|gale|west|panel|46|shipped
1947|ionic|north|gasket|14|shipped
1893|dorian|north|cable|62|pending
1672|ember|south|pump|61|pending
1844|dorian|east|panel|37|paid
1331|harbor|north|gasket|99|held
1441|birch|north|gasket|21|shipped
1212|harbor|south|pump|86|held
1293|cobalt|south|sensor|61|paid
1433|gale|east|pump|37|shipped
1171|acme|west|frame|43|paid
1492|ember|east|cable|28|held
1048|cobalt|north|valve|97|pending
1251|juno|east|cable|20|paid
1180|ember|west|valve|14|held
1895|dorian|north|cable|64|paid
1142|ionic|south|panel|28|paid
1729|birch|west|sensor|76|shipped
1407|gale|east|valve|10|paid
1751|gale|north|pump|36|held
1954|ionic|north|valve|68|paid
1511|harbor|east|sensor|64|pending
1386|birch|north|pump|93|held
1756|gale|west|pump|56|held
1178|dorian|south|sensor|82|pending
1426|dorian|south|frame|50|shipped
1568|harbor|south|pump|86|pending
1475|gale|east|cable|27|held
1305|acme|west|panel|70|paid
1970|juno|east|sensor|82|paid
1876|ember|north|pump|68|held
1349|dorian|north|sensor|96|held
1311|acme|east|pump|52|shipped
1871|ionic|east|cable|43|held
1453|acme|south|sensor|37|pending
1114|birch|east|panel|79|held
1086|cobalt|west|frame|32|pending
1381|acme|north|valve|11|shipped
1370|harbor|south|pump|50|paid
1515|dorian|south|panel|73|held
1783|ember|west|gasket|14|shipped
1620|fulton|south|rotor|25|shipped
1767|birch|south|valve|48|paid
1526|ionic|north|cable|71|shipped
1127|cobalt|west|gasket|14|paid
1587|ionic|east|sensor|29|pending
1811|fulton|east|gasket|37|paid
1839|cobalt|west|panel|10|pending
1280|juno|north|frame|30|held
1325|cobalt|east|sensor|24|held
1513|harbor|east|cable|87|paid
1669|cobalt|west|cable|39|pending
1609|ionic|south|frame|72|paid
1168|acme|west|pump|91|shipped
1641|harbor|east|frame|82|paid
1960|birch|north|sensor|25|pending
1680|ember|east|pump|70|held
1092|cobalt|south|sensor|74|pending
1571|ember|west|cable|71|held
1406|ionic|south|pump|98|shipped
1126|acme|east|pump|75|shipped
1697|dorian|south|pump|40|pending
1923|birch|west|pump|83|paid
1736|fulton|west|frame|98|held
1485|ionic|east|sensor|63|held
1452|dorian|north|cable|41|held
1253|acme|south|sensor|55|held
1817|juno|west|pump|16|held
1623|ionic|west|cable|63|pending
1723|ionic|south|panel|72|shipped
1226|gale|south|sensor|25|held
1483|cobalt|south|frame|49|shipped
1423|ember|south|cable|71|pending
1694|dorian|east|valve|91|pending
1233|harbor|south|rotor|55|shipped
1297|acme|south|gasket|66|held
1791|birch|east|gasket|60|pending
1979|birch|west|cable|68|shipped
1867|acme|south|gasket|57|paid
1080|cobalt|west|frame|76|held
1140|harbor|west|gasket|38|shipped
1857|gale|south|rotor|56|pending
1917|fulton|west|panel|83|pending
1883|birch|north|panel|24|pending
1371|juno|east|cable|84|paid
1742|harbor|north|valve|91|held
1269|gale|east|gasket|73|pending
1460|fulton|west|rotor|94|paid
1322|ionic|south|panel|91|paid
1578|harbor|north|panel|33|pending
1616|juno|south|pump|19|paid
1892|gale|north|gasket|61|shipped
1602|gale|east|frame|67|held
1763|ionic|south|cable|90|held
1108|cobalt|south|sensor|43|pending
1207|ember|north|cable|28|paid
1151|juno|south|valve|70|shipped
1318|juno|west|frame|39|shipped
1851|dorian|south|rotor|11|held
1332|cobalt|south|cable|61|shipped
1190|dorian|south|rotor|23|shipped
1424|dorian|west|rotor|19|pending
1153|juno|east|frame|58|pending
1235|ember|south|panel|85|held
1959|acme|south|sensor|88|held
1210|harbor|east|valve|24|pending
1098|cobalt|west|rotor|54|held
1163|dorian|south|valve|66|pending
1445|dorian|north|panel|53|paid
1436|dorian|south|pump|64|paid
1900|harbor|east|gasket|37|pending
1356|fulton|south|rotor|50|paid
1440|cobalt|south|valve|65|shipped
1197|ember|south|frame|34|held
1387|dorian|east|pump|61|paid
1467|acme|east|sensor|65|paid
1052|cobalt|west|pump|51|shipped
1417|harbor|south|panel|50|pending
1604|gale|west|pump|88|shipped
1929|acme|south|panel|84|paid
1111|cobalt|west|pump|32|held
1290|ionic|north|valve|94|shipped
1684|gale|north|valve|13|paid
1361|harbor|east|rotor|45|pending
1115|birch|south|rotor|78|shipped
1157|ionic|north|sensor|30|pending
1283|ionic|north|frame|97|paid
1709|birch|north|valve|91|held
1262|juno|east|frame|11|pending
1128|cobalt|south|pump|26|shipped
1476|ionic|west|gasket|80|pending
1561|fulton|east|rotor|98|shipped
1117|harbor|south|sensor|73|held
1824|dorian|south|rotor|23|shipped
1780|dorian|west|valve|27|pending
1837|gale|west|pump|45|pending
1809|ember|south|frame|73|paid
1864|gale|west|gasket|33|shipped
1754|acme|north|cable|73|pending
1260|acme|east|panel|26|pending
1504|birch|north|pump|91|pending
1634|birch|east|sensor|88|held
1474|fulton|north|sensor|89|paid
1320|fulton|west|gasket|91|held
1655|harbor|south|rotor|72|shipped
1650|cobalt|east|gasket|22|held
1710|cobalt|west|valve|67|held
1044|cobalt|west|valve|31|pending
1627|ionic|west|pump|65|paid
1138|juno|east|gasket|16|shipped
1395|acme|south|pump|81|paid
1926|cobalt|east|sensor|55|held
1607|birch|west|frame|76|paid
1499|ember|west|cable|92|pending
1300|juno|south|cable|40|paid
1702|cobalt|east|frame|99|shipped
1790|fulton|south|valve|60|held
1687|cobalt|south|valve|53|shipped
1303|birch|west|valve|22|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "cobalt" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 70, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool":"cancel_order","args":{"order_id":1044}}, {"tool":"cancel_order","args":{"order_id":1055}}, {"tool":"restock","args":{"item":"rotor","qty":94}}, {"tool":"cancel_order","args":{"order_id":1086}}, {"tool":"cancel_order","args":{"order_id":1102}}, {"tool":"cancel_order","args":{"order_id":1669}}, {"tool":"cancel_order","args":{"order_id":1839}} ]
correctagentic.tools.triage-v1conf 100% · 602ms · $0.018 · 513 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 → okafor
- auth → haddad
- data → tanaka

INCIDENTS:
1. "API latency spikes" (category: infra, priority 6)
2. "locked out after 2FA change" (category: auth, priority 6)
3. "export file corrupted" (category: data, priority 6)
4. "locked out after 2FA change" (category: auth, priority 6)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "tanaka" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 6 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-2" } } ]
correctagentic.tools.ledger-v1conf 100% · 532ms · $0.016 · 464 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: $289
- tango: $144
- echo: $487

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $543 from "alpha" to "tango"
2. pay $195 from "tango" to "alpha"
3. pay $244 from "echo" to "alpha"
4. pay $439 from "tango" to "echo"
5. pay $450 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": "top_up_from_reserve", "args": { "account": "alpha", "amount": 254 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "tango", "amount": 543 } }, { "tool": "transfer", "args": { "from": "tango", "to": "alpha", "amount": 195 } }, { "tool": "transfer", "args": { "from": "echo", "to": "alpha", "amount": 244 } }, { "tool": "transfer", "args": { "from": "tango", "to": "echo", "amount": 439 } }, { "tool": "top_up_from_reserve", "args": { "account": "tango", "amount": 397 } }, { "tool": "transfer", "args": { "from": "tango", "to": "alpha", "amount": 450 } } ]
correctagentic.tools.deploy-v1conf 100% · 354ms · $0.009 · 241 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "deploy", "args": { "service": "search" } }, { "tool": "deploy", "args": { "service": "gateway" } }, { "tool": "deploy", "args": { "service": "billing" } }, { "tool": "health_check", "args": { "service": "billing" } }, { "tool": "deploy", "args": { "service": "auth-svc" } } ]
correctagentic.tools.context-load-v1conf 100% · 281ms · $0.038 · 612 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 (242 records, format: id|customer|region|item|qty|status):
```
2126|ember|west|gasket|21|held
2230|acme|north|valve|34|paid
1703|fulton|west|cable|72|paid
1952|gale|north|rotor|25|shipped
2198|cobalt|west|frame|88|paid
1931|ember|east|gasket|41|held
1947|fulton|east|valve|96|pending
2404|birch|north|frame|13|pending
2187|dorian|north|pump|13|held
2100|birch|east|panel|49|shipped
1866|harbor|south|rotor|68|held
1915|juno|west|panel|96|pending
1759|birch|north|sensor|74|held
1758|juno|west|sensor|28|paid
2073|acme|west|pump|13|held
1717|ember|south|frame|72|pending
2232|ember|north|gasket|33|shipped
1544|gale|south|gasket|71|held
1519|acme|north|sensor|56|pending
2389|dorian|west|gasket|38|pending
1574|ionic|east|panel|75|paid
2030|gale|west|cable|59|pending
1735|harbor|west|cable|89|pending
1678|ember|west|sensor|28|pending
2002|fulton|south|sensor|74|shipped
1731|acme|north|pump|56|paid
2222|ionic|north|rotor|11|pending
2148|ember|west|rotor|43|pending
1907|ember|west|sensor|69|held
1917|acme|north|gasket|98|pending
2351|dorian|south|cable|96|shipped
1651|harbor|east|gasket|38|shipped
1598|dorian|north|valve|51|shipped
1563|harbor|east|cable|27|paid
1937|birch|east|sensor|66|shipped
1539|ionic|north|gasket|84|pending
1996|fulton|north|rotor|61|pending
2267|acme|west|frame|46|pending
2036|birch|south|cable|78|shipped
2206|gale|south|sensor|57|held
1616|fulton|west|gasket|44|paid
1568|dorian|south|rotor|75|shipped
1811|ionic|west|panel|25|shipped
1739|dorian|east|pump|40|shipped
2151|acme|south|rotor|14|held
2337|harbor|east|sensor|44|paid
1838|birch|south|panel|54|pending
1890|harbor|east|valve|21|shipped
2142|cobalt|north|pump|26|shipped
1594|dorian|north|panel|81|pending
2257|birch|south|gasket|28|shipped
2205|birch|west|panel|18|shipped
2041|juno|west|gasket|86|paid
1667|fulton|east|valve|23|shipped
1657|harbor|south|rotor|36|paid
2106|fulton|east|rotor|44|paid
1958|birch|south|gasket|91|paid
2331|harbor|south|panel|80|pending
1997|cobalt|north|cable|18|shipped
2193|harbor|east|cable|55|shipped
2402|cobalt|south|pump|82|paid
1816|cobalt|south|gasket|43|paid
2360|ember|north|panel|54|shipped
1941|dorian|east|pump|22|shipped
2184|ionic|north|cable|72|shipped
2342|birch|west|gasket|61|held
2348|fulton|east|rotor|69|pending
2266|dorian|south|valve|11|pending
2357|juno|west|frame|93|paid
2227|birch|east|panel|30|paid
1983|gale|east|panel|10|paid
2139|harbor|north|frame|87|held
2152|harbor|east|cable|42|held
2332|fulton|east|panel|79|held
2264|dorian|north|rotor|80|pending
2081|ember|east|panel|52|shipped
2384|dorian|south|cable|64|held
2405|harbor|west|sensor|55|shipped
1603|cobalt|east|valve|72|held
2090|birch|north|panel|96|paid
1548|acme|south|gasket|97|held
2283|cobalt|south|panel|56|paid
2118|harbor|west|cable|44|pending
2053|ionic|east|pump|27|pending
2145|fulton|north|frame|25|shipped
1588|ionic|north|valve|24|paid
1725|acme|east|frame|62|pending
2098|ionic|south|valve|85|shipped
2361|fulton|east|frame|22|shipped
1803|fulton|north|cable|29|pending
1974|gale|east|gasket|52|shipped
1619|fulton|west|gasket|47|pending
2315|gale|west|panel|46|held
1831|fulton|west|valve|50|held
2285|juno|east|pump|59|shipped
2005|birch|south|cable|50|pending
1763|gale|south|panel|40|held
2292|acme|west|frame|90|pending
1817|ember|south|pump|55|shipped
2186|gale|west|valve|71|paid
2119|dorian|west|pump|80|paid
1499|acme|east|sensor|16|pending
1712|ionic|east|cable|25|held
2296|cobalt|south|sensor|54|paid
1730|cobalt|east|valve|44|shipped
2272|dorian|south|valve|36|shipped
1637|gale|east|pump|56|paid
1769|cobalt|south|frame|71|held
2333|juno|south|cable|19|held
1663|cobalt|west|panel|52|shipped
1518|acme|south|pump|29|pending
2317|gale|south|panel|96|held
2044|acme|south|panel|57|paid
2080|fulton|west|cable|46|held
2376|acme|west|cable|45|held
1674|birch|east|panel|63|pending
2072|ionic|west|sensor|15|shipped
2420|juno|west|panel|92|pending
2196|dorian|west|pump|88|paid
2012|cobalt|west|pump|52|shipped
2445|birch|west|sensor|31|pending
1912|dorian|east|panel|59|paid
1865|acme|north|sensor|84|shipped
1509|acme|east|valve|17|pending
2160|gale|west|sensor|91|paid
1749|birch|north|cable|75|paid
1500|acme|south|panel|72|shipped
2382|birch|west|valve|80|pending
1955|birch|east|cable|27|paid
2114|ember|south|frame|24|paid
1873|ionic|south|panel|78|shipped
1904|dorian|west|valve|14|shipped
1549|cobalt|south|rotor|91|shipped
1562|harbor|north|cable|61|held
1925|ember|east|sensor|81|pending
2236|cobalt|south|valve|48|paid
2089|harbor|east|gasket|99|held
2192|juno|south|cable|38|held
1818|birch|north|pump|18|held
1864|cobalt|north|gasket|55|paid
2035|cobalt|east|valve|97|pending
2355|acme|west|pump|89|pending
2326|acme|north|rotor|37|paid
2367|acme|north|valve|73|paid
1697|gale|east|panel|97|paid
2058|cobalt|south|gasket|30|held
1754|cobalt|north|frame|82|shipped
2111|dorian|south|pump|30|shipped
2179|ionic|south|rotor|16|shipped
1887|gale|west|cable|70|paid
2252|cobalt|north|sensor|68|pending
2269|dorian|west|cable|13|paid
1652|acme|east|gasket|75|held
1716|fulton|north|cable|84|paid
1498|acme|south|sensor|59|pending
2321|birch|south|valve|87|paid
1985|fulton|north|panel|11|held
2083|dorian|west|gasket|87|held
1847|dorian|south|cable|71|shipped
1627|juno|east|frame|28|shipped
2154|harbor|south|rotor|87|shipped
1567|juno|west|cable|50|pending
1880|dorian|west|rotor|85|shipped
1690|dorian|north|sensor|36|pending
1792|ember|west|sensor|74|paid
2280|fulton|east|rotor|49|shipped
1922|acme|west|gasket|92|pending
2054|juno|north|frame|84|paid
2369|dorian|west|panel|49|paid
2055|cobalt|north|gasket|60|pending
2172|ionic|east|gasket|83|shipped
2241|ionic|west|valve|79|pending
1743|birch|south|cable|34|pending
2274|ionic|south|gasket|38|held
1862|cobalt|north|pump|18|held
2427|ember|north|panel|88|held
1782|ember|north|sensor|46|shipped
2025|juno|west|gasket|79|shipped
2254|dorian|south|cable|31|pending
2019|acme|south|frame|14|pending
1640|acme|north|valve|70|paid
1724|birch|north|cable|14|pending
2219|juno|south|sensor|34|shipped
1526|acme|south|pump|17|paid
2068|fulton|east|gasket|54|pending
2020|dorian|west|pump|47|pending
1705|dorian|east|rotor|95|pending
2383|dorian|south|gasket|65|shipped
1579|ember|east|gasket|93|shipped
1808|gale|north|valve|69|pending
1570|acme|south|sensor|15|held
1832|birch|south|sensor|89|held
1897|dorian|west|sensor|20|held
1507|acme|south|valve|28|pending
1630|cobalt|east|frame|96|pending
2434|cobalt|east|pump|58|shipped
2412|dorian|west|frame|27|held
2240|fulton|west|sensor|32|held
1557|harbor|west|cable|60|held
1826|fulton|north|valve|55|shipped
1781|ember|west|rotor|92|paid
2439|acme|west|sensor|64|paid
2146|gale|west|gasket|22|held
2062|gale|south|cable|64|pending
1701|dorian|north|sensor|44|shipped
2150|birch|south|sensor|69|paid
2245|harbor|south|sensor|64|shipped
1606|harbor|north|cable|73|pending
1978|fulton|west|sensor|64|shipped
2417|dorian|west|valve|71|paid
1990|acme|north|gasket|66|pending
1854|birch|east|panel|34|pending
1777|cobalt|east|panel|62|pending
1966|birch|north|cable|41|shipped
1970|fulton|west|cable|33|pending
2395|cobalt|west|sensor|54|shipped
1646|dorian|south|sensor|47|held
1590|acme|north|sensor|40|paid
1779|dorian|south|sensor|87|held
1796|harbor|west|valve|34|paid
2167|dorian|south|valve|35|held
1511|acme|south|sensor|59|held
1613|ionic|north|rotor|14|pending
1819|dorian|west|pump|53|shipped
1535|juno|south|cable|25|pending
2308|ember|east|sensor|47|paid
1787|dorian|east|cable|51|shipped
2303|harbor|west|cable|15|held
1551|ember|east|valve|85|pending
2097|ember|south|pump|70|pending
1581|birch|north|sensor|80|shipped
2113|birch|north|pump|20|shipped
1959|gale|south|gasket|31|shipped
1626|juno|west|sensor|14|pending
2049|harbor|south|frame|46|paid
1861|acme|west|rotor|97|pending
1531|ember|east|cable|85|pending
1844|gale|south|valve|96|pending
1772|acme|south|valve|63|pending
1683|ember|north|frame|53|pending
2133|fulton|east|rotor|19|shipped
2213|ember|south|valve|35|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, 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": 59 } }, { "tool": "cancel_order", "args": { "order_id": 1507 } }, { "tool": "cancel_order", "args": { "order_id": 1518 } }, { "tool": "restock", "args": { "item": "valve", "qty": 63 } }, { "tool": "cancel_order", "args": { "order_id": 2019 } } ]
wrongagentic.tools.triage-v1conf 100% · 296ms · $0.019 · 547 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 5)
2. "invoice total wrong" (category: payments, priority 6)
3. "invoice total wrong" (category: payments, priority 6)
4. "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": "locked out after 2FA change", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 6 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 3 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-1" } } ]
correctagentic.tools.deploy-v1conf 100% · 433ms · $0.007 · 166 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: gateway
- gateway: (none)
- auth-svc: billing
- reports: auth-svc, 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":"gateway"}}, {"tool":"deploy","args":{"service":"billing"}}, {"tool":"deploy","args":{"service":"auth-svc"}}, {"tool":"deploy","args":{"service":"reports"}}, {"tool":"health_check","args":{"service":"reports"}} ]
correctagentic.tools.triage-v1conf 83% · 342ms · $0.027 · 831 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
- payments → chen
- auth → okafor

INCIDENTS:
1. "API latency spikes" (category: infra, priority 2)
2. "API latency spikes" (category: infra, priority 2)
3. "SSO loop on login" (category: auth, priority 6)
4. "API latency spikes" (category: infra, priority 7)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 2 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } }, { "tool": "create_ticket", "args": { "title": "SSO loop on login", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "silva" } } ]
correctagentic.tools.ledger-v1conf 100% · 360ms · $0.017 · 496 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: $239
- alpha: $797
- delta: $162

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $272 from "delta" to "alpha"
2. pay $477 from "alpha" to "tango"
3. pay $418 from "tango" to "alpha"
4. pay $516 from "delta" to "tango"
5. pay $587 from "alpha" 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": 110 } }, { "tool": "transfer", "args": { "from": "delta", "to": "alpha", "amount": 272 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "tango", "amount": 477 } }, { "tool": "transfer", "args": { "from": "tango", "to": "alpha", "amount": 418 } }, { "tool": "top_up_from_reserve", "args": { "account": "delta", "amount": 516 } }, { "tool": "transfer", "args": { "from": "delta", "to": "tango", "amount": 516 } }, { "tool": "transfer", "args": { "from": "alpha", "to": "tango", "amount": 587 } } ]
correctagentic.tools.context-load-v1conf 100% · 278ms · $0.038 · 491 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 (294 records, format: id|customer|region|item|qty|status):
```
1474|cobalt|north|valve|52|paid
1377|birch|east|pump|31|pending
1385|acme|north|valve|96|pending
1780|fulton|south|rotor|96|pending
1946|ionic|south|sensor|92|shipped
2152|juno|north|rotor|87|pending
1887|gale|north|panel|87|pending
1410|harbor|west|panel|99|paid
1847|birch|south|frame|22|pending
1271|juno|east|cable|54|shipped
2200|juno|south|valve|12|shipped
2236|gale|east|pump|25|held
1188|harbor|east|sensor|28|pending
2059|cobalt|north|valve|27|shipped
1586|ionic|south|rotor|39|paid
1834|dorian|north|gasket|34|shipped
1927|ember|south|gasket|94|pending
2068|fulton|north|rotor|54|held
1391|ember|east|valve|67|held
1730|juno|south|panel|26|shipped
2056|juno|south|sensor|49|held
1201|harbor|south|cable|20|pending
1390|harbor|east|frame|71|held
1197|harbor|east|pump|58|pending
1915|dorian|north|rotor|61|pending
1546|gale|north|sensor|33|paid
1746|cobalt|west|panel|78|pending
1522|harbor|west|gasket|51|shipped
2301|dorian|south|rotor|44|paid
2099|fulton|west|pump|93|paid
1558|ember|north|gasket|51|paid
1568|acme|south|valve|25|pending
1823|cobalt|north|valve|51|paid
2124|harbor|west|cable|71|paid
1500|birch|south|cable|89|paid
1934|birch|south|cable|43|paid
1745|ionic|east|pump|99|held
1303|harbor|north|panel|59|held
1244|fulton|east|sensor|79|pending
2042|cobalt|west|valve|31|held
1966|birch|west|gasket|18|shipped
2232|birch|north|frame|23|paid
1675|cobalt|north|valve|90|paid
1971|acme|south|rotor|44|held
1433|birch|east|gasket|24|held
2210|gale|south|cable|15|paid
1574|ionic|north|gasket|86|paid
1713|birch|north|panel|62|held
2098|gale|east|valve|46|pending
1987|fulton|west|gasket|62|pending
1194|harbor|east|cable|64|paid
2078|juno|south|gasket|30|shipped
2069|gale|west|valve|49|paid
1423|harbor|east|panel|98|pending
1417|gale|north|frame|38|held
1231|ember|west|valve|19|shipped
2334|acme|south|cable|28|shipped
1883|gale|north|gasket|15|held
1250|juno|north|pump|16|paid
2324|ember|north|frame|23|shipped
2317|birch|east|sensor|79|held
2193|ember|south|sensor|72|paid
1673|birch|east|frame|98|pending
2142|gale|south|cable|85|shipped
1841|fulton|south|rotor|50|held
1902|gale|south|cable|14|shipped
1340|ember|south|frame|62|pending
1545|cobalt|east|valve|26|pending
1783|dorian|west|panel|28|paid
1440|juno|west|cable|10|shipped
1689|cobalt|west|gasket|93|paid
1817|birch|east|valve|31|paid
2075|acme|south|valve|58|paid
1894|gale|north|frame|48|paid
2265|ember|east|panel|30|held
1737|cobalt|south|pump|46|paid
1760|gale|west|cable|56|pending
1537|gale|east|cable|48|shipped
1300|cobalt|west|panel|68|shipped
1940|fulton|east|gasket|82|shipped
1948|ionic|south|sensor|90|held
1464|dorian|west|valve|98|paid
1794|gale|south|panel|84|shipped
2109|juno|west|panel|19|paid
1535|juno|west|gasket|64|paid
1867|ember|east|panel|37|held
1954|ember|south|valve|86|shipped
1878|ember|east|panel|89|held
1615|acme|north|frame|79|pending
1202|harbor|east|panel|64|shipped
1499|gale|east|pump|54|paid
1388|ionic|south|pump|27|pending
2091|acme|south|sensor|15|pending
1725|ionic|north|frame|79|paid
1293|cobalt|south|rotor|47|paid
2245|cobalt|north|frame|56|paid
1828|harbor|east|rotor|30|shipped
1695|acme|south|sensor|53|shipped
2147|ember|west|valve|46|paid
1768|harbor|west|gasket|78|shipped
1993|ionic|east|rotor|65|paid
1408|birch|west|gasket|93|pending
2225|acme|north|frame|99|held
1331|harbor|east|panel|74|pending
1859|juno|north|sensor|71|pending
2072|juno|north|sensor|86|paid
1461|acme|south|sensor|59|shipped
2268|birch|north|frame|44|pending
2249|fulton|north|frame|95|shipped
2242|dorian|west|valve|62|pending
1493|dorian|north|frame|29|pending
1956|acme|east|sensor|52|paid
1394|cobalt|south|panel|53|shipped
2254|fulton|south|frame|73|paid
1353|birch|north|pump|30|shipped
2274|dorian|west|pump|18|shipped
2049|dorian|east|rotor|99|pending
1635|cobalt|south|pump|68|paid
2065|birch|west|rotor|85|shipped
1657|gale|west|frame|16|shipped
1700|ionic|north|cable|55|paid
2133|birch|west|valve|82|shipped
1651|gale|north|valve|98|pending
1861|birch|south|gasket|97|paid
1560|juno|east|rotor|16|pending
1483|cobalt|south|rotor|71|paid
1646|ember|north|rotor|24|held
1218|dorian|east|gasket|16|paid
1455|acme|east|gasket|72|pending
1511|dorian|north|pump|30|held
1468|ember|east|panel|80|pending
2130|ember|west|panel|15|held
2290|fulton|west|panel|38|paid
2209|cobalt|east|cable|63|paid
1911|ember|east|pump|52|pending
1753|cobalt|south|frame|10|pending
1572|gale|east|valve|76|pending
1424|ember|west|panel|93|paid
1469|juno|south|rotor|44|pending
1601|ember|north|rotor|28|pending
1533|acme|west|cable|36|paid
1539|fulton|east|valve|78|pending
2002|gale|south|pump|67|pending
1738|juno|west|gasket|86|paid
2139|birch|south|frame|62|pending
1290|ionic|south|panel|10|held
2307|gale|north|pump|50|paid
1988|juno|east|sensor|30|held
1342|harbor|south|frame|30|pending
2188|dorian|north|cable|68|pending
2117|juno|east|pump|31|shipped
1479|juno|east|rotor|70|held
1214|gale|west|panel|47|held
2135|cobalt|west|sensor|75|pending
2010|harbor|north|gasket|65|paid
1906|birch|east|rotor|74|shipped
2314|gale|south|rotor|73|shipped
2288|gale|north|sensor|62|pending
1815|birch|north|gasket|70|held
1872|fulton|west|pump|50|shipped
2085|birch|west|frame|79|pending
2216|harbor|north|cable|47|paid
2050|ionic|north|frame|29|shipped
2203|acme|south|panel|76|shipped
2086|dorian|east|valve|98|paid
1985|ionic|south|rotor|54|shipped
2182|gale|north|pump|38|shipped
1566|ember|west|valve|27|paid
2114|juno|west|sensor|85|held
1401|birch|south|gasket|35|shipped
2166|dorian|south|sensor|89|shipped
1718|ionic|east|rotor|32|shipped
2035|cobalt|east|sensor|92|pending
1921|harbor|north|sensor|14|pending
2297|acme|east|rotor|74|shipped
1807|birch|north|gasket|54|shipped
1671|acme|west|pump|22|shipped
1525|harbor|east|panel|97|shipped
1554|gale|west|sensor|77|shipped
2060|harbor|east|frame|23|paid
2272|acme|east|valve|73|shipped
2319|ember|east|sensor|10|shipped
1372|gale|west|valve|83|shipped
1311|fulton|west|valve|75|pending
2318|harbor|north|cable|23|paid
2102|ember|north|pump|91|paid
1501|dorian|north|frame|74|paid
1279|fulton|south|valve|35|pending
1260|birch|west|pump|21|shipped
1808|harbor|east|pump|42|held
1587|ionic|west|rotor|12|paid
1238|ember|south|rotor|40|pending
1324|birch|east|rotor|83|held
2097|gale|north|gasket|35|held
2000|dorian|north|rotor|96|pending
2248|gale|west|frame|24|paid
1278|birch|north|panel|24|held
1528|harbor|south|rotor|19|pending
1787|birch|south|valve|14|pending
1446|gale|north|panel|66|shipped
1291|fulton|south|frame|41|held
1256|juno|south|valve|94|paid
1262|cobalt|south|pump|99|paid
2282|fulton|south|valve|88|pending
2300|harbor|south|rotor|51|held
1368|dorian|west|pump|78|held
1286|harbor|north|cable|23|pending
1707|dorian|north|pump|45|pending
1334|cobalt|east|gasket|53|shipped
1800|acme|south|rotor|72|pending
1655|acme|north|pump|81|paid
1488|ionic|north|gasket|75|held
2175|fulton|west|pump|88|shipped
1431|birch|west|gasket|60|paid
1633|gale|west|valve|61|shipped
1661|fulton|east|frame|83|paid
1224|juno|east|valve|99|held
1363|dorian|south|pump|69|pending
1606|ionic|south|frame|83|held
2020|ionic|north|valve|84|paid
2329|birch|south|frame|51|held
1485|harbor|south|frame|64|paid
2155|birch|south|rotor|88|paid
1611|fulton|west|frame|24|shipped
1208|harbor|east|frame|44|held
1530|acme|west|sensor|88|pending
2159|acme|south|cable|34|held
1981|birch|west|gasket|53|paid
1350|juno|east|panel|96|pending
1318|gale|north|pump|67|pending
1876|cobalt|east|cable|44|paid
1193|harbor|west|rotor|95|pending
1233|fulton|north|frame|71|paid
2258|fulton|west|sensor|53|pending
1352|cobalt|west|pump|75|paid
2009|cobalt|south|pump|45|paid
1594|cobalt|east|pump|62|paid
1343|fulton|east|rotor|55|held
1205|harbor|west|valve|69|pending
2280|fulton|east|frame|28|paid
1359|ember|west|sensor|51|shipped
1667|cobalt|south|pump|35|pending
1465|birch|north|valve|51|pending
1974|ember|south|pump|81|paid
2015|ember|south|cable|98|held
1711|acme|north|frame|67|shipped
1622|ionic|west|sensor|17|pending
1775|ember|west|pump|89|paid
1846|fulton|south|frame|87|held
2032|harbor|north|pump|21|paid
1896|dorian|east|valve|78|shipped
1801|ember|south|rotor|78|held
1997|gale|west|cable|77|held
2134|juno|east|panel|20|pending
1381|gale|west|valve|57|paid
1688|cobalt|south|pump|13|held
1504|harbor|south|rotor|32|shipped
1346|ember|south|gasket|61|shipped
1327|birch|east|pump|11|shipped
2219|harbor|south|pump|63|pending
2027|harbor|west|sensor|50|paid
1448|juno|north|sensor|29|paid
1306|fulton|west|gasket|49|held
1592|fulton|north|cable|66|held
1203|harbor|east|cable|24|pending
1515|harbor|west|cable|25|pending
1265|dorian|south|valve|47|pending
1579|ember|south|gasket|91|pending
1866|dorian|south|pump|95|paid
1258|acme|west|pump|48|pending
2169|acme|south|gasket|36|held
1644|juno|west|sensor|12|pending
1523|birch|west|gasket|62|pending
1962|acme|south|gasket|90|paid
1519|juno|south|valve|87|paid
1629|fulton|east|cable|63|held
1552|cobalt|east|panel|60|paid
1225|cobalt|south|gasket|99|held
1763|ionic|east|cable|15|paid
1538|juno|east|rotor|17|shipped
2095|fulton|east|cable|47|held
1436|ember|west|sensor|23|shipped
1492|dorian|west|gasket|99|pending
1681|ember|north|pump|55|paid
1641|acme|south|sensor|69|shipped
2143|fulton|west|frame|81|paid
1853|harbor|north|pump|13|paid
2310|ionic|east|sensor|57|paid
1898|harbor|north|cable|68|pending
1503|gale|east|pump|82|held
1770|fulton|north|frame|62|pending
1726|fulton|south|gasket|65|paid
1313|dorian|east|panel|88|held
2038|fulton|west|frame|36|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "cancel_order", "args": { "order_id": 1188 } }, { "tool": "restock", "args": { "item": "pump", "qty": 58 } }, { "tool": "cancel_order", "args": { "order_id": 1203 } }, { "tool": "restock", "args": { "item": "panel", "qty": 74 } }, { "tool": "restock", "args": { "item": "panel", "qty": 98 } } ]
correctagentic.tools.deploy-v1conf 100% · 348ms · $0.010 · 281 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
- billing: auth-svc, gateway
- gateway: (none)
- reports: 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 "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": "auth-svc" } }, { "tool": "deploy", "args": { "service": "billing" } }, { "tool": "deploy", "args": { "service": "reports" } } ]
correctagentic.tools.ledger-v1conf 100% · 287ms · $0.012 · 316 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: $211
- bravo: $600
- echo: $844

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $154 from "bravo" to "tango"
2. pay $484 from "echo" to "bravo"
3. pay $315 from "bravo" to "echo"
4. pay $217 from "echo" 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": "tango", "amount": 154 } }, { "tool": "transfer", "args": { "from": "echo", "to": "bravo", "amount": 484 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "echo", "amount": 315 } }, { "tool": "transfer", "args": { "from": "echo", "to": "bravo", "amount": 217 } } ]
correctagentic.tools.triage-v1conf 100% · 334ms · $0.016 · 436 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 → dubois
- payments → tanaka

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 7)
2. "records missing after import" (category: data, priority 7)
3. "card declined at checkout" (category: payments, priority 2)
4. "card declined at checkout" (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": "SSO loop on login", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 7 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "dubois" } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "tanaka" } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 2 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-3" } } ]
correctagentic.tools.context-load-v1anchorconf 100% · 282ms · $0.032 · 562 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 100% · 514ms · $0.010 · 272 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.triage-v1anchorconf 100% · 387ms · $0.018 · 503 tok
model answer: [ { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "tanaka" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 9 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-1" } } ]
correctagentic.tools.ledger-v1anchorconf 100% · 324ms · $0.016 · 460 tok
model answer: [ { "tool": "top_up_from_reserve", "args": { "account": "delta", "amount": 134 } }, { "tool": "transfer", "args": { "from": "delta", "to": "bravo", "amount": 451 } }, { "tool": "transfer", "args": { "from": "bravo", "to": "delta", "amount": 292 } }, { "tool": "transfer", "args": { "from": "delta", "to": "tango", "amount": 97 } }, { "tool": "top_up_from_reserve", "args": { "account": "delta", "amount": 345 } }, { "tool": "transfer", "args": { "from": "delta", "to": "bravo", "amount": 540 } }, { "tool": "transfer", "args": { "from": "tango", "to": "bravo", "amount": 125 } } ]
code 30/30 correct
correctcode.trace.js-v1conf 100% · 266ms · $0.004 · 107 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, 16, 17];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 180
correctcode.trace.nested-v1conf 100% · 275ms · $0.010 · 319 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) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 122
correctcode.trace.js-v1conf 100% · 1.5s · $0.003 · 79 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
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: 312
correctcode.trace.python-v1conf 100% · 404ms · $0.005 · 145 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 13
while total + v <= 77:
    if v % 4 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 76
correctcode.trace.nested-v1conf 100% · 789ms · $0.007 · 220 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 84
correctcode.trace.python-v1conf 100% · 2.4s · $0.006 · 196 tok
question
What does this Python program print?

```python
total = 0
v = 5
while total + v <= 70:
    if v % 7 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 60
correctcode.trace.nested-v1conf 100% · 517ms · $0.014 · 438 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 == 6 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 496
correctcode.trace.js-v1conf 100% · 267ms · $0.004 · 111 tok
question
What does this JavaScript program log?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 210
correctcode.trace.python-v1conf 100% · 581ms · $0.006 · 184 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 7
while total + v <= 65:
    if v % 3 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 64
correctcode.trace.nested-v1conf 100% · 1.0s · $0.010 · 311 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 8):
        if j == 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: 230
correctcode.trace.js-v1conf 100% · 988ms · $0.004 · 123 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 294
correctcode.trace.python-v1conf 100% · 319ms · $0.007 · 211 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 15
while total + v <= 120:
    if v % 5 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 107
correctcode.trace.nested-v1conf 100% · 492ms · $0.013 · 403 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 == 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: 178
correctcode.trace.js-v1conf 100% · 308ms · $0.004 · 117 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 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: 500
correctcode.trace.python-v1conf 100% · 770ms · $0.006 · 171 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 15
while total + v <= 49:
    if v % 5 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 24
correctcode.trace.nested-v1conf 100% · 309ms · $0.016 · 502 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 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: 362
correctcode.trace.js-v1conf 100% · 323ms · $0.004 · 93 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];
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: 216
correctcode.trace.python-v1conf 100% · 452ms · $0.006 · 183 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 9
while total + v <= 70:
    if v % 4 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 63
correctcode.trace.nested-v1conf 100% · 328ms · $0.016 · 517 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 334
correctcode.trace.js-v1conf 100% · 271ms · $0.003 · 78 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, 17, 18, 19];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 972
correctcode.trace.python-v1conf 100% · 586ms · $0.007 · 207 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 13
while total + v <= 73:
    if v % 7 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 55
correctcode.trace.nested-v1conf 100% · 381ms · $0.011 · 344 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.js-v1conf 100% · 613ms · $0.004 · 103 tok
question
What does this JavaScript program log?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 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: 30
correctcode.trace.python-v1conf 100% · 418ms · $0.006 · 178 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 9
while total + v <= 60:
    if v % 5 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 54
correctcode.trace.js-v1conf 100% · 2.3s · $0.004 · 100 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 495
correctcode.trace.nested-v1conf 100% · 276ms · $0.008 · 248 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 420
correctcode.trace.python-v1anchorconf 100% · 1.1s · $0.005 · 138 tok
model answer: 0
correctcode.trace.js-v1anchorconf 100% · 477ms · $0.003 · 69 tok
model answer: 63
correctcode.trace.nested-v1anchorconf 100% · 310ms · $0.011 · 357 tok
model answer: 283
correctcode.trace.python-v1anchorconf 100% · 564ms · $0.005 · 153 tok
model answer: 40
instruction following 30/30 correct
correctif.constraints.stack-v1conf 100% · 315ms · $0.010 · 294 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "ember" and the last word must be "falcon".
3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember frosty mornings hush valleys, quartz windows glow, quartz snowfields breathe, pale quartz dawn guides falcon
correctif.format.acronym-v1conf 100% · 456ms · $0.003 · 92 tok
question
Take the third letter of each of these words, in order: cedar, echo, lumen, ember, delta, 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: DHMBLB
correctif.format.repeat-v1conf 100% · 1.1s · $0.004 · 124 tok
question
Write the word "prism" in lowercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: prism/prism/prism/prism/prism/prism
correctif.constraints.stack-v1conf 100% · 345ms · $0.009 · 276 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "drift" and the last word must be "delta".
3. Use the word "prism" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: drift across endless oceans, prism through storms, prism past deserts, prism toward the silent delta
correctif.format.acronym-v1conf 100% · 1.9s · $0.003 · 91 tok
question
Take the third letter of each of these words, in order: basalt, ember, quartz, orbit, falcon, 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: SBABLV
correctif.constraints.stack-v1conf 100% · 269ms · $0.013 · 416 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "flint" and the last word must be "ember".
3. Use the word "tundra" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: flint waves cradle tundra dreams, tundra gulls drift over foam, tides hum tundra songs beneath ember
correctif.format.repeat-v1conf 85% · 430ms · $0.006 · 173 tok
question
Write the word "echo" in capitalized form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Echo-Echo-Echo-Echo-Echo
correctif.constraints.stack-v1conf 100% · 374ms · $0.010 · 307 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "echo" and the last word must be "cedar".
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: echo tides cradle nova beneath moonlit waves, nova gulls drift, sailors chase nova cedar
correctif.format.acronym-v1conf 100% · 368ms · $0.002 · 42 tok
question
Take the first letter of each of these words, in order: delta, basalt, comet, 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: DBCE
correctif.format.repeat-v1conf 100% · 324ms · $0.003 · 72 tok
question
Write the word "tundra" in lowercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra-tundra-tundra-tundra-tundra
correctif.format.acronym-v1conf 100% · 1.8s · $0.003 · 80 tok
question
Take the first letter of each of these words, in order: delta, zephyr, drift, nova, falcon. 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: DZDNF
correctif.format.repeat-v1conf 100% · 388ms · $0.003 · 86 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-v1conf 100% · 329ms · $0.014 · 441 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 21 words.
2. The first word must be "tundra" and the last word must be "nova".
3. Use the word "quartz" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra winds carried us beyond coasts across deserts past quartz caves over seas through ash valleys toward quartz fires beneath nova
correctif.format.acronym-v1conf 100% · 411ms · $0.003 · 77 tok
question
Take the third letter of each of these words, in order: orbit, flint, basalt, echo, quartz. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BISHA
correctif.constraints.stack-v1conf 100% · 345ms · $0.010 · 317 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "basalt" and the last word must be "delta".
3. Use the word "echo" 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: basalt winter mornings echo softly over pale roofs, frost veils lanes, breath blooms, birds echo near frozen delta
correctif.format.repeat-v1conf 100% · 273ms · $0.002 · 63 tok
question
Write the word "echo" 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: echo_echo_echo
correctif.format.acronym-v1conf 100% · 987ms · $0.002 · 66 tok
question
Take the second letter of each of these words, in order: orbit, nova, lumen, falcon. 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: ROUA
correctif.constraints.stack-v1conf 100% · 267ms · $0.010 · 318 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "prism" and the last word must be "echo".
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: prism streets shimmer under moonlit towers, nova signs glow, taxis drift past diners, nova dreams rise from windows, silent rain braids alleys, nova echo
correctif.format.repeat-v1conf 100% · 378ms · $0.003 · 74 tok
question
Write the word "orbit" in lowercase form, repeated exactly 4 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbit-orbit-orbit-orbit
correctif.format.acronym-v1conf 100% · 773ms · $0.003 · 84 tok
question
Take the third letter of each of these words, in order: orbit, zephyr, falcon, basalt, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BPLSV
correctif.constraints.stack-v1conf 100% · 266ms · $0.011 · 339 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "comet" and the last word must be "nova".
3. Use the word "basalt" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: comet sails over moonlit sea, basalt cliffs listen, tides breathe softly, basalt sand glows beneath gulls, and deep waters dream of distant nova
correctif.format.repeat-v1conf 100% · 333ms · $0.004 · 111 tok
question
Write the word "nova" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova_nova_nova_nova_nova_nova_nova
correctif.constraints.stack-v1conf 100% · 340ms · $0.017 · 546 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "zephyr" and the last word must be "flint".
3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr chills winter mornings, quartz frost on roofs, quartz light over fields, breath fading, quartz stars dim flint
correctif.format.acronym-v1conf 100% · 296ms · $0.003 · 83 tok
question
Take the second letter of each of these words, in order: delta, basalt, drift, cedar, lumen. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EAREU
correctif.format.repeat-v1conf 100% · 376ms · $0.003 · 93 tok
question
Write the word "flint" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FLINT/FLINT/FLINT/FLINT/FLINT/FLINT/FLINT
correctif.constraints.stack-v1anchorconf 100% · 280ms · $0.014 · 439 tok
model answer: drift under neon rain, towers hum, taxis blur, lumen spills from windows, lumen threads alleys, sirens fade, lovers map lumen dreams into slow orbit
correctif.format.acronym-v1conf 100% · 346ms · $0.002 · 59 tok
question
Take the second letter of each of these words, in order: comet, quartz, echo, lumen, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OUCUA
correctif.format.repeat-v1anchorconf 100% · 294ms · $0.005 · 148 tok
model answer: Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echo
correctif.format.repeat-v1anchorconf 100% · 291ms · $0.004 · 110 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 250ms · $0.002 · 40 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 462ms · $0.002 · 43 tok
question
Name the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 569ms · $0.002 · 51 tok
question
Name the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 100% · 585ms · $0.002 · 59 tok
question
What is the capital of Kazakhstan?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Astana
correctknowledge.fr.factbank-v2conf 100% · 332ms · $0.002 · 43 tok
question
What is 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 100% · 275ms · $0.001 · 32 tok
question
What is the element whose symbol is Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 306ms · $0.001 · 37 tok
question
Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 269ms · $0.002 · 49 tok
question
Name the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bern
correctknowledge.fr.factbank-v2conf 100% · 431ms · $0.002 · 46 tok
question
Identify the Canadian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 350ms · $0.002 · 50 tok
question
What is the element whose symbol is Sb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 1.0s · $0.002 · 47 tok
question
What is the capital of Australia?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 380ms · $0.002 · 56 tok
question
What is the chemical element with symbol K?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 268ms · $0.002 · 42 tok
question
What is the Nigerian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 331ms · $0.002 · 39 tok
question
Name the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 509ms · $0.002 · 51 tok
question
Identify the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 265ms · $0.001 · 31 tok
question
Identify the capital of Turkey.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 276ms · $0.002 · 47 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-v2conf 100% · 339ms · $0.001 · 31 tok
question
Identify the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 314ms · $0.001 · 34 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 100% · 334ms · $0.002 · 39 tok
question
Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 383ms · $0.001 · 31 tok
question
What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 290ms · $0.002 · 43 tok
question
Identify the Canadian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 358ms · $0.002 · 40 tok
question
Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 1.0s · $0.001 · 31 tok
question
What is the chemical element with symbol Hg?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 470ms · $0.001 · 36 tok
question
What is the author of "The Master and Margarita"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 294ms · $0.002 · 60 tok
question
Name the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 621ms · $0.002 · 50 tok
question
What is the writer of the novel "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2anchorconf 100% · 1.4s · $0.002 · 50 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 265ms · $0.001 · 32 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 845ms · $0.002 · 51 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 326ms · $0.001 · 31 tok
model answer: Lead
math 30/30 correct
correctmath.chained.pipeline-v1conf 100% · 634ms · $0.003 · 85 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 55 × 21.
Step 2: Q = P × 9 − 773.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2407
correctmath.counterfactual.base-v1conf 100% · 648ms · $0.006 · 186 tok
question
Work strictly in base 13. Multiply the base-13 numbers 3B and 20. Give the result IN BASE 13 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 790
correctmath.percent.chain-v2conf 100% · 409ms · $0.004 · 110 tok
question
An inventory starts at 92000 units. A rival firm shipped 103 unrelated parcels the same week. In the first month the inventory grows by 11%. The warehouse was painted 164 years ago. The next month it shrinks by 13%, and the month after it grows by 5%. 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: 93286.62
correctmath.algebra.system-v2conf 100% · 833ms · $0.007 · 216 tok
question
Solve the system, then answer the derived question.

5x + 9y = -380
8x − 6y = -98

What is the value of 6x − 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: -111
correctmath.arith.chain-v2conf 100% · 384ms · $0.004 · 127 tok
question
Compute the value of the following expression.

(((72 × 48 − 144) × 7 + 8672) − 68 × 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: 88632
correctmath.percent.chain-v2conf 100% · 466ms · $0.006 · 166 tok
question
An inventory starts at 78000 units. The delivery van has a 57-liter fuel tank. In the first month the inventory grows by 30%. Each pallet weighs about 93 grams more when wet. The next month it shrinks by 38%, and the month after it grows by 29%. 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: 81099.72
correctmath.chained.pipeline-v1conf 100% · 397ms · $0.004 · 103 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 32 × 62.
Step 2: Q = P × 9 − 962.
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: 2117
correctmath.counterfactual.base-v1conf 100% · 2.6s · $0.009 · 285 tok
question
Work strictly in base 8. Add the base-8 numbers 3774 and 5313. 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: 11307
correctmath.algebra.system-v2conf 100% · 464ms · $0.002 · 59 tok
question
Solve the system, then answer the derived question.

9x + 4y = -19
5x − 5y = 235

What is the value of 5x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 235
correctmath.arith.chain-v2conf 100% · 347ms · $0.005 · 144 tok
question
Evaluate the expression below and give the result.

(((48 × 82 − 544) × 6 + 5648) − 37 × 93) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 135354
correctmath.counterfactual.base-v1conf 100% · 317ms · $0.008 · 260 tok
question
Work strictly in base 11. Add the base-11 numbers 879 and 1715. 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: 2493
correctmath.chained.pipeline-v1conf 100% · 329ms · $0.003 · 78 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 45 × 22.
Step 2: Q = P × 3 − 909.
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: 297
correctmath.percent.chain-v2conf 100% · 381ms · $0.004 · 108 tok
question
An inventory starts at 55000 units. The warehouse was painted 126 years ago. In the first month the inventory grows by 6%. Each pallet weighs about 16 grams more when wet. The next month it shrinks by 9%, and the month after it grows by 5%. 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: 55705.65
correctmath.algebra.system-v2conf 100% · 359ms · $0.006 · 195 tok
question
Solve the system, then answer the derived question.

7x + 2y = 82
4x − 5y = -76

What is the value of 6x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -64
correctmath.arith.chain-v2conf 100% · 258ms · $0.007 · 209 tok
question
Calculate the following. Show your reasoning, then answer.

(((85 × 39 − 359) × 9 + 8836) − 16 × 24) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 210336
correctmath.counterfactual.base-v1conf 100% · 949ms · $0.010 · 309 tok
question
Work strictly in base 9. Multiply the base-9 numbers 72 and 61. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 4812
correctmath.chained.pipeline-v1conf 100% · 327ms · $0.003 · 89 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 40 × 68.
Step 2: Q = P × 8 − 458.
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: 7102
correctmath.percent.chain-v2conf 100% · 268ms · $0.007 · 202 tok
question
An inventory starts at 94000 units. The company was founded 55 kilometers from the port. In the first month the inventory grows by 22%. A rival firm shipped 139 unrelated parcels the same week. The next month it shrinks by 37%, and the month after it grows by 36%. 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: 98257.824
correctmath.algebra.system-v2conf 100% · 355ms · $0.003 · 89 tok
question
Solve the system, then answer the derived question.

8x + 3y = -111
8x − 2y = -206

What is the value of 4x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -179
correctmath.arith.chain-v2conf 100% · 381ms · $0.003 · 101 tok
question
Compute the value of the following expression.

(((58 × 81 − 490) × 6 + 8330) − 38 × 66) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 124280
correctmath.chained.pipeline-v1conf 100% · 1.5s · $0.004 · 100 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 38 × 61.
Step 2: Q = P × 4 − 430.
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: 1107
correctmath.counterfactual.base-v1conf 100% · 283ms · $0.010 · 321 tok
question
Work strictly in base 11. Multiply the base-11 numbers 6A and 77. 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: 4884
correctmath.percent.chain-v2conf 100% · 302ms · $0.005 · 159 tok
question
An inventory starts at 26000 units. Each pallet weighs about 137 grams more when wet. In the first month the inventory grows by 24%. A rival firm shipped 127 unrelated parcels the same week. The next month it shrinks by 45%, and the month after it grows by 36%. 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: 24115.52
correctmath.algebra.system-v2conf 100% · 1.8s · $0.004 · 124 tok
question
Solve the system, then answer the derived question.

3x + 7y = 247
7x − 2y = 118

What is the value of 6x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 19
correctmath.arith.chain-v2conf 100% · 330ms · $0.004 · 104 tok
question
Compute the value of the following expression.

(((35 × 32 − 535) × 7 + 2766) − 42 × 63) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 16860
correctmath.chained.pipeline-v1conf 100% · 2.3s · $0.003 · 92 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 82 × 73.
Step 2: Q = P × 9 − 532.
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: 8892
correctmath.counterfactual.base-v1anchorconf 100% · 353ms · $0.008 · 238 tok
model answer: 11236
correctmath.percent.chain-v2anchorconf 100% · 331ms · $0.009 · 261 tok
model answer: 61896.522
correctmath.algebra.system-v2anchorconf 100% · 312ms · $0.003 · 85 tok
model answer: 87
correctmath.arith.chain-v2anchorconf 100% · 441ms · $0.003 · 93 tok
model answer: 108153
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 290ms · $0.002 · 59 tok
question
A number is written in French: « neuf cent cinquante-huit ». Another is written in Spanish: « doscientos siete ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1165
correctmultilingual.numword-v2conf 100% · 253ms · $0.005 · 154 tok
question
Compute 130 + 348, 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-dix-huit
correctmultilingual.wordnum-v1conf 100% · 410ms · $0.003 · 90 tok
question
A number is written in French: « deux cent onze ». Another is written in Spanish: « quinientos noventa y nueve ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 810
correctmultilingual.numword-v2conf 100% · 482ms · $0.003 · 96 tok
question
Compute 68 + 434, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent deux
correctmultilingual.wordnum-v1conf 100% · 627ms · $0.005 · 154 tok
question
A number is written in French: « deux cent cinquante-cinq ». Another is written in Spanish: « quinientos 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: -275
correctmultilingual.numword-v2conf 100% · 494ms · $0.004 · 105 tok
question
Compute 300 + 390, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos noventa
correctmultilingual.wordnum-v1conf 100% · 427ms · $0.005 · 135 tok
question
A number is written in French: « trois cent quatre-vingts ». Another is written in Spanish: « ochocientos noventa ». 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: 1270
correctmultilingual.numword-v2conf 100% · 543ms · $0.004 · 136 tok
question
Compute 129 + 96, 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-cinq
correctmultilingual.wordnum-v1conf 100% · 602ms · $0.005 · 165 tok
question
A number is written in French: « trois cent quatre-vingt-seize ». Another is written in Spanish: « cuatrocientos quince ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -19
correctmultilingual.numword-v2conf 100% · 594ms · $0.005 · 147 tok
question
Compute 105 + 452, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent cinquante-sept
correctmultilingual.wordnum-v1conf 100% · 367ms · $0.003 · 90 tok
question
A number is written in French: « six cent cinquante-trois ». Another is written in Spanish: « ochenta 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: 571
correctmultilingual.numword-v2conf 100% · 304ms · $0.003 · 83 tok
question
Compute 162 + 318, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos ochenta
correctmultilingual.wordnum-v1conf 100% · 323ms · $0.004 · 129 tok
question
A number is written in French: « six cent soixante-trois ». Another is written in Spanish: « cuatrocientos treinta y uno ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 232
correctmultilingual.numword-v2conf 100% · 440ms · $0.004 · 108 tok
question
Compute 253 + 136, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos ochenta y nueve
correctmultilingual.wordnum-v1conf 100% · 283ms · $0.004 · 110 tok
question
A number is written in French: « quatre cent quatre-vingt-huit ». Another is written in Spanish: « sesenta y uno ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 549
correctmultilingual.numword-v2conf 100% · 275ms · $0.004 · 131 tok
question
Compute 236 + 66, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent deux
correctmultilingual.wordnum-v1conf 100% · 386ms · $0.004 · 109 tok
question
A number is written in French: « deux cent cinquante-six ». Another is written in Spanish: « ochocientos setenta 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: -618
correctmultilingual.numword-v2conf 100% · 831ms · $0.004 · 134 tok
question
Compute 153 + 374, 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 veintisiete
correctmultilingual.wordnum-v1conf 100% · 487ms · $0.003 · 86 tok
question
A number is written in French: « trois cent quatre-vingt-deux ». Another is written in Spanish: « trescientos dieciocho ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 64
correctmultilingual.numword-v2conf 100% · 334ms · $0.005 · 155 tok
question
Compute 292 + 374, 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 soixante-six
correctmultilingual.numword-v2conf 100% · 361ms · $0.005 · 156 tok
question
Compute 417 + 368, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: sept cent quatre-vingt-cinq
correctmultilingual.wordnum-v1conf 100% · 359ms · $0.004 · 132 tok
question
A number is written in French: « cent cinquante-deux ». Another is written in Spanish: « trescientos cuarenta ». 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: -188
correctmultilingual.wordnum-v1conf 100% · 643ms · $0.003 · 93 tok
question
A number is written in French: « trois cent quatre-vingt-neuf ». Another is written in Spanish: « cuatrocientos noventa y tres ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 882
correctmultilingual.numword-v2conf 100% · 815ms · $0.004 · 112 tok
question
Compute 230 + 86, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trois cent seize
correctmultilingual.numword-v2anchorconf 100% · 479ms · $0.006 · 190 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1conf 100% · 294ms · $0.003 · 94 tok
question
A number is written in French: « quatre cent quarante-quatre ». Another is written in Spanish: « ochocientos veintiséis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1270
correctmultilingual.numword-v2conf 100% · 351ms · $0.003 · 103 tok
question
Compute 401 + 210, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: seiscientos once
correctmultilingual.wordnum-v1anchorconf 100% · 822ms · $0.003 · 86 tok
model answer: 150
correctmultilingual.numword-v2anchorconf 100% · 997ms · $0.003 · 70 tok
model answer: seiscientos ocho
correctmultilingual.wordnum-v1anchorconf 100% · 312ms · $0.002 · 61 tok
model answer: 762
reasoning 30/30 correct
correctreasoning.deduction.position-v1conf 100% · 301ms · $0.004 · 108 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Bruno. Hana is directly ahead of Nadir. Nadir is number 2 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 100% · 710ms · $0.006 · 163 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Mona is taller than Emil. Rosa is taller than Jonas. Dara is taller than Rosa. Emil is taller than Nadir. Dara is taller than Priya. Priya is taller than Nadir. Bruno is older than everyone here, but Bruno is not being ranked. Nadir is taller than Jonas. Rosa is taller than Priya. Emil is taller than Dara. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 100% · 289ms · $0.004 · 124 tok
question
Four people stand in a queue (number 1 is the front). Goran is number 2 in the queue. Kira is directly ahead of Goran. Farah is directly ahead of Emil. 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: Emil
correctreasoning.deduction.order-v2conf 100% · 336ms · $0.006 · 189 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Liam is older than Mona. Alice is older than Tessa. Emil is faster than everyone here, but Emil is not being ranked. Tessa is older than Bruno. Mona is older than Goran. Goran is older than Bruno. Liam is older than Tessa. Goran is older than Alice. Bruno is older than Rosa. Mona is older than Alice. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 100% · 345ms · $0.007 · 212 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Nadir is faster than Hana. Chen is faster than Nadir. Tessa is faster than Goran. Goran is faster than Chen. Rosa is older than everyone here, but Rosa is not being ranked. Goran is faster than Liam. Ines is faster than Hana. Goran is faster than Ines. Nadir is faster than Ines. Liam is faster than Chen. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.position-v1conf 100% · 298ms · $0.005 · 144 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 1 in the queue. Hana is directly ahead of Tessa. Emil is directly ahead of Hana. 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: Hana
correctreasoning.deduction.order-v2conf 100% · 329ms · $0.007 · 218 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Sami is faster than Jonas. Sami is faster than Priya. Mona is faster than Tessa. Priya is faster than Jonas. Mona is faster than Jonas. Mona is faster than Priya. Jonas is faster than Farah. Rosa is faster than Mona. Tessa is faster than Sami. Ines is taller than everyone here, but Ines is not being ranked. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 100% · 476ms · $0.003 · 94 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Mona. Emil is number 3 in the queue. Mona is directly ahead of Emil. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
correctreasoning.deduction.position-v1conf 100% · 259ms · $0.003 · 73 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 3 in the queue. Farah is directly ahead of Sami. Sami is directly ahead of Quinn. 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: Quinn
correctreasoning.deduction.order-v2conf 100% · 311ms · $0.006 · 162 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Chen. Ines is faster than Alice. Alice is faster than Ola. Goran is taller than everyone here, but Goran is not being ranked. Chen is faster than Liam. Farah is faster than Liam. Alice is faster than Chen. Tessa is faster than Farah. Tessa is faster than Chen. Ola is faster than Tessa. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.position-v1conf 100% · 531ms · $0.004 · 109 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Sami. Ola is directly ahead of Emil. Emil is number 2 in the queue. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.order-v2conf 100% · 446ms · $0.005 · 142 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Tessa. Tessa is older than Dara. Alice is older than Quinn. Ola is older than Alice. Dara is older than Quinn. Farah is taller than everyone here, but Farah is not being ranked. Dara is older than Liam. Ola is older than Rosa. Liam is older than Quinn. Liam is older than Alice. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.order-v2conf 100% · 289ms · $0.011 · 335 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is taller than everyone here, but Farah is not being ranked. Goran is heavier than Bruno. Bruno is heavier than Alice. Bruno is heavier than Quinn. Quinn is heavier than Jonas. Quinn is heavier than Priya. Priya is heavier than Chen. Jonas is heavier than Alice. Alice is heavier than Priya. Alice is heavier than Chen. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 100% · 313ms · $0.004 · 131 tok
question
Four people stand in a queue (number 1 is the front). Ines is directly ahead of Emil. Liam is number 1 in the queue. Dara is directly ahead of Ines. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Liam
correctreasoning.deduction.order-v2conf 100% · 341ms · $0.005 · 153 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Liam is heavier than Bruno. Jonas is heavier than Dara. Hana is heavier than Rosa. Bruno is heavier than Tessa. Dara is heavier than Bruno. Rosa is heavier than Bruno. Dara is heavier than Liam. Sami is faster than everyone here, but Sami is not being ranked. Rosa is heavier than Jonas. Hana is heavier than Liam. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Rosa
correctreasoning.deduction.position-v1conf 100% · 349ms · $0.005 · 154 tok
question
Four people stand in a queue (number 1 is the front). Chen is number 1 in the queue. Ola is directly ahead of Rosa. Bruno is directly ahead of Ola. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chen
correctreasoning.deduction.order-v2conf 100% · 1.2s · $0.006 · 182 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Farah. Ola is faster than Kira. Hana is faster than Jonas. Quinn is faster than Ola. Kira is faster than Farah. Kira is faster than Mona. Jonas is faster than Quinn. Mona is faster than Farah. Dara is heavier than everyone here, but Dara is not being ranked. Jonas is faster than Mona. 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: Ola
correctreasoning.deduction.position-v1conf 100% · 334ms · $0.004 · 110 tok
question
Four people stand in a queue (number 1 is the front). Alice is directly ahead of Sami. Hana is directly ahead of Bruno. Bruno is directly ahead of Alice. Sami is number 4 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.order-v2conf 100% · 403ms · $0.006 · 185 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Farah. Rosa is heavier than Nadir. Jonas is heavier than Mona. Mona is heavier than Kira. Farah is heavier than Nadir. Farah is heavier than Rosa. Kira is heavier than Dara. Dara is heavier than Nadir. Rosa is heavier than Dara. Priya is taller than everyone here, but Priya is not being ranked. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
correctreasoning.deduction.order-v2conf 100% · 331ms · $0.005 · 132 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Priya. Priya is older than Liam. Kira is older than Goran. Mona is older than Dara. Dara is older than Priya. Goran is older than Mona. Rosa is older than Kira. Emil is faster than everyone here, but Emil is not being ranked. Mona is older than Liam. Goran is older than Priya. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 100% · 249ms · $0.004 · 110 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 2 in the queue. Nadir is directly ahead of Sami. Goran is directly ahead of Jonas. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 100% · 316ms · $0.003 · 80 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Alice. Goran is number 3 in the queue. Alice is directly ahead of Goran. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Goran
correctreasoning.deduction.position-v1conf 100% · 370ms · $0.004 · 117 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Quinn. Nadir is directly ahead of Kira. Quinn 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: Kira
correctreasoning.deduction.order-v2conf 100% · 268ms · $0.007 · 205 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Ola is heavier than Priya. Priya is heavier than Nadir. Ola is heavier than Chen. Nadir is heavier than Liam. Chen is heavier than Nadir. Quinn is faster than everyone here, but Quinn is not being ranked. Tessa is heavier than Ola. Priya is heavier than Liam. Chen is heavier than Priya. Sami is heavier than Tessa. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.order-v2conf 100% · 335ms · $0.008 · 225 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Mona is heavier than Tessa. Sami is heavier than Mona. Priya is heavier than Tessa. Dara is heavier than Nadir. Tessa is heavier than Ines. Priya is heavier than Mona. Hana is faster than everyone here, but Hana is not being ranked. Nadir is heavier than Sami. Sami is heavier than Priya. Dara is heavier than Tessa. 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: Priya
correctreasoning.deduction.position-v1conf 100% · 362ms · $0.004 · 108 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Mona. Mona is directly ahead of Ines. Goran is directly ahead of Tessa. Ines is number 4 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
correctreasoning.deduction.order-v2anchorconf 100% · 561ms · $0.007 · 194 tok
model answer: Quinn
correctreasoning.deduction.position-v1anchorconf 100% · 436ms · $0.004 · 107 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 100% · 404ms · $0.006 · 191 tok
model answer: Mona
correctreasoning.deduction.position-v1anchorconf 100% · 372ms · $0.005 · 138 tok
model answer: Farah
terminal 26/30 correct
correctterminal.exit.chain-v1conf 100% · 445ms · $0.008 · 217 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f tmp.txt && echo A || echo B
test -f ghost.txt && echo C || echo D
false && echo E || echo F
grep -q coral 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 D F H exit:1
correctterminal.fs.tree-v1conf 100% · 761ms · $0.013 · 386 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/conf`):

```
/proj/conf/index.cfg
/proj/docs/draft.txt
/proj/docs/main.txt
/proj/setup.txt
/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 build/todo-7.txt
rm setup.txt
cd docs
cp draft.txt ../../proj/
rm draft.txt
touch index-1.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/todo-7.txt /proj/conf/index.cfg /proj/docs/index-1.cfg /proj/docs/main.txt /proj/draft.txt /proj/util.cfg
correctterminal.fs.tree-v1conf 100% · 411ms · $0.016 · 493 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/assets`):

```
/proj/assets/report.cfg
/proj/docs/index.log
/proj/main.cfg
/proj/src/setup.txt
/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
mv src/setup.txt assets/
cd docs
touch ../../proj/assets/index-8.log
touch ../../proj/assets/util-4.log
touch ../../proj/assets/draft-5.cfg
mkdir -p ../../proj/src/assets-7
cd ../../proj/src
rm ../../proj/assets/index-8.log
cd .
rm ../../proj/assets/setup.txt
touch ../../proj/notes-7.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft-5.cfg /proj/assets/report.cfg /proj/assets/util-4.log /proj/docs/index.log /proj/main.cfg /proj/notes-7.txt /proj/util.cfg
correctterminal.exit.chain-v1conf 100% · 1.3s · $0.006 · 168 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F Z exit:0
correctterminal.pipeline.predict-v1conf 100% · 331ms · $0.005 · 112 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
max,ops,119,96
hal,legal,38,58
lou,ops,26,11
oli,eng,34,20
kim,sales,88,90
pam,eng,50,77
ivy,ops,37,13
ana,hr,63,54
jon,ops,113,52
ned,eng,11,18
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: hal,38
wrongterminal.pipeline.predict-v1conf 100% · 529ms · $0.006 · 143 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
fay,legal,101,87
eli,eng,96,68
bo,ops,24,36
ana,ops,50,30
max,legal,42,36
pam,sales,23,56
jon,eng,89,55
oli,legal,34,69
gus,legal,64,38
dev,hr,107,46
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 55 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 100% · 383ms · $0.018 · 544 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/build`):

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

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

```sh
cp todo.md src/
cp build/draft.log ./
cp todo.md conf/
mv build/draft.log build/setup-5.md
cd conf
cp todo.md ../../proj/build/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/setup-5.md /proj/build/todo.md /proj/conf/index.md /proj/conf/setup.log /proj/conf/todo.md /proj/draft.log /proj/notes.log /proj/src/todo.md /proj/todo.md
correctterminal.exit.chain-v1conf 100% · 825ms · $0.009 · 241 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F G Z exit:0
wrongterminal.pipeline.predict-v1conf 100% · 384ms · $0.005 · 143 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,legal,8,75
jon,hr,103,27
max,hr,10,12
pam,sales,75,47
oli,hr,57,57
ned,legal,20,26
ivy,sales,52,68
gus,legal,65,90
eli,ops,60,68
```

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: (none extracted)
correctterminal.exit.chain-v1conf 100% · 674ms · $0.006 · 172 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E exit:1
correctterminal.fs.tree-v1conf 98% · 389ms · $0.022 · 693 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/logs`):

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

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

```sh
mkdir -p assets/docs-4
touch assets/docs-4/notes-3.log
rm assets/docs-4/notes-3.log
mkdir -p assets/docs-4/build-1
cd assets/docs-4
touch ../../../proj/assets/index-5.md
rm ../../../proj/assets/notes.cfg
mv ../../../proj/docs/todo.cfg ../../../proj/docs/
cd build-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/assets/index-5.md /proj/assets/main.md /proj/docs/todo.cfg /proj/setup.log /proj/util.txt
wrongterminal.pipeline.predict-v1conf 98% · 511ms · $0.015 · 462 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,hr,99,22
oli,eng,30,56
ana,ops,104,39
ned,eng,78,48
eli,legal,107,91
fay,hr,83,55
max,sales,8,79
jon,ops,77,92
pam,ops,74,44
gus,hr,42,34
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.fs.tree-v1conf 100% · 661ms · $0.024 · 747 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/src`, `/proj/conf`):

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report.cfg /proj/conf/notes-6.cfg /proj/conf/report-6.txt /proj/conf/util-1.md /proj/draft.log /proj/report.cfg /proj/src/todo.log /proj/src/util.md /proj/todo.log
correctterminal.exit.chain-v1conf 100% · 642ms · $0.007 · 190 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F H exit:1
wrongterminal.pipeline.predict-v1conf 100% · 259ms · $0.004 · 103 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
pam,hr,102,94
ned,sales,57,76
kim,legal,63,27
oli,hr,110,63
hal,sales,31,81
gus,sales,66,56
eli,eng,24,19
jon,legal,93,88
max,ops,13,43
lou,ops,93,89
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 68 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctterminal.exit.chain-v1conf 100% · 346ms · $0.009 · 256 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F H exit:1
correctterminal.fs.tree-v1conf 100% · 360ms · $0.019 · 601 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/assets`):

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

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

```sh
touch conf/util-8.md
cp conf/draft.cfg src/
cd src
cp ../../proj/index.cfg ../../proj/assets/
cd ../../proj/conf
mkdir -p assets-6
touch ../../proj/src/setup-9.cfg
touch assets-6/util-6.md
cp ../../proj/assets/index.cfg ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/index.cfg /proj/conf/assets-6/util-6.md /proj/conf/draft.cfg /proj/conf/main.txt /proj/conf/report.txt /proj/conf/util-8.md /proj/index.cfg /proj/setup.md /proj/src/draft.cfg /proj/src/setup-9.cfg
correctterminal.pipeline.predict-v1conf 100% · 332ms · $0.006 · 153 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,legal,6,34
pam,sales,90,55
eli,ops,55,54
gus,eng,95,36
lou,hr,19,70
jon,legal,63,14
hal,ops,35,53
bo,legal,120,15
dev,ops,55,39
ivy,hr,93,30
oli,sales,30,71
ned,ops,79,32
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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: dev,55 eli,55 hal,35
correctterminal.fs.tree-v1conf 100% · 279ms · $0.018 · 561 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/docs`, `/proj/conf`):

```
/proj/docs/draft.md
/proj/docs/notes.log
/proj/logs/index.md
/proj/report.cfg
/proj/todo.md
```

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

```sh
mv report.cfg setup-5.txt
cd .
mv todo.md todo-5.log
mv logs/index.md ./
cd logs
cp ../../proj/setup-5.txt ../../proj/conf/
rm ../../proj/setup-5.txt
cd ../../proj/docs
mv ../../proj/todo-5.log ../../proj/notes-6.md
rm ../../proj/notes-6.md
cd .
mv draft.md draft-2.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/conf/setup-5.txt /proj/docs/draft-2.txt /proj/docs/notes.log /proj/index.md
correctterminal.exit.chain-v1conf 100% · 350ms · $0.007 · 198 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F G Z exit:0
correctterminal.fs.tree-v1conf 100% · 541ms · $0.019 · 583 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/logs`):

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

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

```sh
cp logs/util.cfg ./
touch docs/index-5.cfg
mkdir -p docs/logs-6
mv logs/util.cfg logs/setup-7.log
cd logs
mv ../../proj/report.log ../../proj/draft-5.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/notes.md /proj/docs/index-5.cfg /proj/draft-5.log /proj/logs/setup-7.log /proj/logs/setup.cfg /proj/todo.log /proj/util.cfg
correctterminal.pipeline.predict-v1conf 100% · 523ms · $0.006 · 143 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,ops,23,96
kim,legal,43,54
jon,legal,19,21
eli,legal,91,44
ivy,sales,103,48
oli,ops,48,23
ana,ops,47,90
bo,ops,90,27
cy,eng,27,92
gus,eng,87,71
hal,legal,104,19
pam,sales,43,31
dev,legal,65,40
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: pam,sales,43,31 ivy,sales,103,48
correctterminal.exit.chain-v1conf 100% · 338ms · $0.007 · 188 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
notes.txt
```

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E H exit:1
correctterminal.pipeline.predict-v1conf 100% · 313ms · $0.004 · 106 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,hr,119,70
gus,hr,63,61
ana,legal,20,92
max,sales,65,89
kim,legal,117,28
lou,ops,23,52
fay,ops,41,25
hal,legal,71,46
pam,hr,107,50
bo,hr,31,91
ivy,ops,107,40
```

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: 4
correctterminal.fs.tree-v1conf 100% · 384ms · $0.014 · 442 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/logs`):

```
/proj/build/main.log
/proj/draft.log
/proj/logs/notes.log
/proj/setup.cfg
/proj/src/index.md
```

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

```sh
cp src/index.md ./
touch src/setup-9.cfg
mv logs/notes.log src/
cp setup.cfg logs/
mkdir -p src/conf-4
touch logs/todo-3.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/main.log /proj/draft.log /proj/index.md /proj/logs/setup.cfg /proj/logs/todo-3.log /proj/setup.cfg /proj/src/index.md /proj/src/notes.log /proj/src/setup-9.cfg
correctterminal.exit.chain-v1conf 100% · 385ms · $0.008 · 213 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E H exit:1
correctterminal.exit.chain-v1anchorconf 100% · 300ms · $0.009 · 253 tok
model answer: B D E G exit:1
correctterminal.pipeline.predict-v1anchorconf 100% · 403ms · $0.007 · 183 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.fs.tree-v1anchorconf 100% · 496ms · $0.019 · 579 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg
correctterminal.pipeline.predict-v1anchorconf 100% · 508ms · $0.005 · 124 tok
model answer: 1
vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 100% · 653ms · $0.006 · 77 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 56
correctvision.ocr.code-hunt-v1conf 98% · 401ms · $0.008 · 120 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in BLUE. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: RVKAUV
correctvision.ocr.table-read-v1conf 100% · 406ms · $0.007 · 84 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: 74
correctvision.ocr.code-hunt-v1conf 98% · 356ms · $0.007 · 96 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: PKRDR4U
correctvision.ocr.table-read-v1conf 100% · 667ms · $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 "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: 119
correctvision.ocr.code-hunt-v1conf 97% · 1.0s · $0.008 · 144 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: U4NCYET
correctvision.ocr.table-read-v1conf 100% · 406ms · $0.007 · 80 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: 113
correctvision.ocr.table-read-v1conf 100% · 431ms · $0.007 · 101 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: 145
correctvision.ocr.code-hunt-v1conf 97% · 460ms · $0.009 · 151 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: YTTR9FTP
correctvision.ocr.code-hunt-v1conf 96% · 273ms · $0.009 · 177 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: AM9MTMU
correctvision.ocr.code-hunt-v1conf 98% · 2.7s · $0.008 · 135 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: UHC4HNRA
correctvision.ocr.table-read-v1conf 100% · 1.9s · $0.007 · 88 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: 55
correctvision.ocr.table-read-v1conf 100% · 260ms · $0.006 · 74 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "C". Answer with the number only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
correctvision.ocr.code-hunt-v1conf 98% · 619ms · $0.009 · 152 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: NETYYKXH
correctvision.ocr.table-read-v1conf 100% · 709ms · $0.007 · 112 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: 23
correctvision.ocr.code-hunt-v1conf 95% · 442ms · $0.010 · 192 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: TMXW3X9C
correctvision.ocr.table-read-v1conf 100% · 341ms · $0.007 · 106 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: 296
correctvision.ocr.code-hunt-v1conf 95% · 949ms · $0.008 · 117 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: A4WXYCP
correctvision.ocr.table-read-v1conf 100% · 325ms · $0.008 · 116 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: 85
correctvision.ocr.code-hunt-v1conf 98% · 357ms · $0.009 · 154 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: CFVTAA4
correctvision.ocr.code-hunt-v1conf 98% · 2.0s · $0.006 · 78 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: CCYJ3X
correctvision.ocr.table-read-v1conf 100% · 819ms · $0.007 · 106 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: 97
correctvision.ocr.table-read-v1conf 100% · 462ms · $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 "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: 47
correctvision.ocr.code-hunt-v1conf 99% · 384ms · $0.009 · 156 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: VPPDFYR
correctvision.ocr.code-hunt-v1conf 98% · 296ms · $0.007 · 85 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: 4RU9MY
correctvision.ocr.table-read-v1conf 100% · 283ms · $0.007 · 96 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: 12
correctvision.ocr.table-read-v1anchorconf 100% · 564ms · $0.007 · 88 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 96% · 271ms · $0.009 · 157 tok
model answer: VX7993D
correctvision.ocr.code-hunt-v1anchorconf 95% · 1.1s · $0.009 · 179 tok
model answer: YH9E4AWP
correctvision.ocr.table-read-v1anchorconf 100% · 619ms · $0.007 · 92 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit804
  • 2026-08-05v0.2.0index_fit804
  • 2026-08-05v0.2.0index_fit804
  • 2026-08-05v0.2.0index_fit805
  • 2026-08-05v0.2.0index_fit805
  • 2026-08-05v0.2.0index_fit808
  • 2026-08-05v0.2.0index_fit808
  • 2026-08-05v0.2.0index_fit810
  • 2026-08-05v0.2.0index_fit811
  • 2026-08-05v0.2.0index_fit833
  • 2026-08-05v0.2.0index_fit728