← Leaderboard

anthropic logoAnthropic: Claude Opus 4.8 (Fast)

anthropic/claude-opus-4.8-fast · anthropic · context 1 000 000 · in $10.00/1M · out $50.00/1M

Global Index

811

95% CI [764858] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic850 [751949]
0.8071.000.950.038936ms$35.19
code874 [752996]
0.7911.000.990.000849ms$26.29
instruction following843 [714972]
0.7830.830.980.0001.2s$9.11
knowledge730 [557902]
0.5491.001.000.000921ms$2.35
math835 [679992]
0.7281.000.990.000879ms$11.09
multilingual821 [659984]
0.7061.000.980.000815ms$4.53
reasoning723 [574873]
0.6500.970.960.077772ms$15.18
terminal903 [810996]
0.8401.000.980.000882ms$20.01
vision ocr719 [549888]
0.5341.000.980.0001.5s$10.99

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 99% · 936ms · $0.030 · 476 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: $441
- bravo: $370
- echo: $556

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $472 from "bravo" to "delta"
2. pay $529 from "delta" to "bravo"
3. pay $533 from "bravo" to "delta"
4. pay $136 from "echo" 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": "top_up_from_reserve", "args": {"account": "bravo", "amount": 102}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 472}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 529}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 4}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 533}}, {"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 136}} ]
correctagentic.tools.triage-v1conf 97% · 722ms · $0.023 · 301 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → dubois
- data → novak
- infra → chen

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 9)
2. "export file corrupted" (category: data, priority 5)
3. "locked out after 2FA change" (category: auth, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "export file corrupted", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.context-load-v1conf 98% · 990ms · $0.051 · 343 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 (170 records, format: id|customer|region|item|qty|status):
```
1497|cobalt|north|rotor|10|paid
1280|juno|east|cable|44|paid
1506|ember|east|cable|14|shipped
1855|acme|east|frame|13|pending
1646|fulton|north|gasket|72|held
1333|ionic|east|panel|93|held
1838|dorian|east|valve|10|held
1768|ionic|west|pump|62|held
1246|ionic|west|gasket|79|paid
1532|acme|north|rotor|65|held
1573|fulton|east|valve|63|paid
1843|cobalt|north|pump|42|pending
1565|ionic|east|sensor|13|pending
1422|juno|south|frame|75|paid
1624|acme|north|pump|41|paid
1285|juno|south|gasket|77|paid
1755|dorian|west|pump|79|shipped
1797|cobalt|north|pump|42|shipped
1798|juno|north|valve|22|pending
1673|cobalt|east|rotor|62|held
1342|dorian|south|sensor|16|shipped
1659|dorian|south|rotor|98|shipped
1520|acme|west|rotor|96|held
1234|juno|north|cable|84|pending
1821|birch|north|pump|31|held
1742|fulton|east|cable|12|shipped
1583|harbor|east|frame|32|pending
1365|juno|west|pump|75|pending
1512|dorian|west|gasket|47|shipped
1588|acme|south|frame|39|pending
1610|ember|north|sensor|68|paid
1476|harbor|west|gasket|90|pending
1662|cobalt|south|gasket|32|paid
1253|cobalt|west|panel|29|paid
1786|gale|south|panel|28|paid
1182|ionic|south|valve|32|pending
1274|dorian|west|cable|80|pending
1293|harbor|north|cable|41|pending
1311|acme|north|valve|12|paid
1188|ionic|south|panel|83|pending
1409|cobalt|north|cable|26|pending
1637|juno|west|panel|90|shipped
1203|ionic|north|frame|78|pending
1842|juno|east|frame|16|shipped
1211|birch|west|rotor|41|paid
1527|acme|south|frame|90|paid
1831|juno|north|gasket|40|shipped
1627|juno|north|valve|76|held
1763|cobalt|west|rotor|61|paid
1785|gale|north|sensor|90|held
1348|gale|south|gasket|71|held
1449|gale|south|pump|55|held
1777|acme|west|panel|22|pending
1362|acme|north|pump|46|held
1231|ember|west|frame|43|paid
1772|juno|east|frame|76|pending
1849|dorian|east|valve|30|paid
1328|acme|south|frame|48|pending
1713|dorian|north|valve|83|held
1729|ember|east|sensor|26|held
1493|ionic|west|sensor|57|pending
1267|ionic|west|frame|96|shipped
1500|birch|north|valve|38|shipped
1261|fulton|north|pump|10|shipped
1619|juno|east|pump|63|shipped
1386|ember|south|gasket|90|held
1807|ionic|north|rotor|87|shipped
1549|birch|north|pump|26|shipped
1185|ionic|south|valve|95|held
1697|dorian|south|rotor|46|pending
1706|harbor|north|pump|50|held
1437|juno|east|sensor|30|shipped
1481|birch|north|valve|47|held
1731|gale|south|rotor|69|shipped
1787|fulton|east|cable|57|shipped
1207|ember|east|valve|71|pending
1202|ionic|south|rotor|78|pending
1338|ember|south|frame|70|shipped
1232|harbor|east|rotor|99|pending
1577|cobalt|south|gasket|58|pending
1441|ionic|west|sensor|39|pending
1723|ionic|west|cable|52|paid
1814|dorian|west|pump|28|pending
1242|juno|east|frame|73|held
1526|ionic|south|rotor|97|shipped
1205|ionic|south|valve|32|held
1518|harbor|east|cable|12|pending
1834|harbor|west|valve|37|paid
1499|ember|west|sensor|75|held
1681|ember|east|cable|38|shipped
1399|juno|west|sensor|81|held
1732|harbor|east|pump|27|held
1784|birch|south|sensor|83|paid
1446|gale|east|gasket|49|shipped
1757|juno|south|sensor|55|shipped
1630|ember|east|valve|89|paid
1304|harbor|east|rotor|70|shipped
1614|juno|south|pump|99|shipped
1688|juno|south|pump|51|held
1803|ionic|west|sensor|33|pending
1683|ember|west|valve|77|shipped
1254|harbor|west|gasket|43|held
1469|acme|east|valve|32|paid
1621|cobalt|west|gasket|41|held
1425|gale|north|panel|61|paid
1651|juno|south|rotor|55|shipped
1221|dorian|south|valve|86|shipped
1800|juno|south|cable|93|held
1464|cobalt|south|rotor|54|paid
1377|juno|east|valve|82|shipped
1191|ionic|west|pump|45|pending
1703|birch|south|rotor|71|shipped
1601|ionic|north|panel|36|pending
1323|juno|south|sensor|86|pending
1216|birch|west|valve|86|shipped
1396|dorian|east|frame|97|shipped
1463|cobalt|west|gasket|18|shipped
1595|ionic|south|pump|88|shipped
1611|acme|north|sensor|49|pending
1739|ionic|west|cable|28|paid
1605|birch|north|sensor|46|paid
1241|juno|west|frame|34|shipped
1318|acme|north|gasket|24|held
1653|ember|south|sensor|21|pending
1586|birch|east|rotor|16|shipped
1429|ionic|east|cable|48|held
1262|harbor|south|panel|17|pending
1535|acme|south|valve|84|shipped
1330|harbor|north|panel|29|paid
1504|acme|east|frame|18|held
1692|fulton|south|valve|14|pending
1456|fulton|south|panel|10|pending
1301|juno|south|frame|60|held
1793|dorian|east|frame|49|paid
1434|fulton|west|gasket|60|paid
1381|fulton|west|frame|34|held
1749|fulton|west|pump|26|shipped
1403|cobalt|south|pump|64|pending
1369|ionic|east|valve|97|held
1300|fulton|west|sensor|36|shipped
1534|gale|south|gasket|55|paid
1477|acme|west|valve|49|pending
1197|ionic|south|pump|71|shipped
1674|ember|west|pump|83|pending
1388|ionic|east|valve|40|pending
1781|birch|south|panel|25|shipped
1380|harbor|north|rotor|64|pending
1184|ionic|east|panel|39|pending
1355|gale|north|valve|64|pending
1382|juno|north|pump|46|paid
1559|birch|west|gasket|86|shipped
1415|dorian|east|valve|93|shipped
1719|birch|west|valve|63|shipped
1552|acme|north|rotor|16|paid
1642|ionic|east|cable|62|shipped
1826|gale|north|gasket|97|pending
1226|juno|south|gasket|41|paid
1582|dorian|east|panel|26|pending
1666|juno|north|sensor|81|paid
1310|acme|west|gasket|83|paid
1620|cobalt|west|panel|35|pending
1390|cobalt|east|rotor|25|paid
1319|gale|south|rotor|68|held
1373|ionic|east|pump|36|shipped
1445|ionic|north|cable|47|shipped
1486|ember|south|sensor|50|shipped
1546|gale|east|valve|99|shipped
1571|acme|south|rotor|62|shipped
1540|harbor|north|cable|54|paid
1290|cobalt|north|sensor|92|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, 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": 1182}}, {"tool": "restock", "args": {"item": "panel", "qty": 83}}, {"tool": "restock", "args": {"item": "rotor", "qty": 78}} ]
correctagentic.tools.deploy-v1conf 90% · 3.2s · $0.017 · 233 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: billing
- billing: (none)
- search: gateway, reports
- 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 "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 99% · 1.4s · $0.038 · 623 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: $601
- kilo: $344
- delta: $717

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $501 from "kilo" to "delta"
2. pay $374 from "alpha" to "kilo"
3. pay $349 from "delta" to "kilo"
4. pay $253 from "kilo" to "delta"
5. pay $578 from "alpha" 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": "top_up_from_reserve", "args": {"account": "kilo", "amount": 157}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 501}}, {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 374}}, {"tool": "transfer", "args": {"from": "delta", "to": "kilo", "amount": 349}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 253}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 351}}, {"tool": "transfer", "args": {"from": "alpha", "to": "delta", "amount": 578}} ]
correctagentic.tools.triage-v1conf 98% · 1.2s · $0.027 · 380 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 → dubois
- infra → chen
- payments → novak

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 5)
2. "webhooks not delivered" (category: infra, priority 2)
3. "locked out after 2FA change" (category: auth, priority 5)
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": "locked out after 2FA change", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"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": "dubois"}} ]
correctagentic.tools.context-load-v1conf 92% · 750ms · $0.075 · 689 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 (211 records, format: id|customer|region|item|qty|status):
```
1664|cobalt|north|pump|42|pending
1492|harbor|north|frame|84|pending
1728|ember|east|cable|17|pending
1150|gale|east|cable|40|paid
1470|dorian|north|panel|80|shipped
1554|gale|east|rotor|69|shipped
1067|harbor|south|cable|70|held
1233|juno|south|frame|22|pending
1502|acme|south|rotor|72|shipped
1207|cobalt|south|gasket|81|pending
1684|cobalt|north|valve|83|shipped
1640|acme|east|gasket|93|paid
1325|acme|north|valve|69|shipped
1403|dorian|north|valve|46|shipped
1241|acme|west|panel|95|paid
1089|cobalt|west|panel|74|shipped
1411|ember|north|pump|66|held
1173|cobalt|west|rotor|45|shipped
1661|harbor|west|pump|23|pending
1495|cobalt|west|cable|58|held
1195|harbor|north|sensor|30|shipped
1773|acme|west|sensor|55|pending
1480|juno|west|gasket|56|pending
1237|acme|east|valve|64|shipped
1046|gale|south|pump|31|pending
1483|cobalt|north|panel|94|paid
1363|cobalt|east|pump|30|paid
1197|acme|north|frame|38|held
1183|ember|north|pump|98|paid
1231|juno|east|sensor|94|shipped
1435|ember|east|rotor|17|pending
1447|juno|east|gasket|40|held
1304|birch|east|gasket|10|paid
1201|dorian|east|valve|22|paid
1674|acme|north|rotor|86|shipped
1552|gale|north|frame|16|paid
1585|ionic|south|rotor|57|paid
1624|juno|north|gasket|41|held
1345|fulton|east|sensor|55|held
1776|harbor|west|valve|86|held
1358|ember|north|cable|64|held
1083|cobalt|north|valve|28|paid
1722|dorian|west|valve|72|shipped
1560|fulton|north|valve|78|shipped
1415|birch|south|cable|31|pending
1362|harbor|south|valve|73|pending
1130|birch|east|rotor|62|pending
1397|ember|north|frame|78|pending
1766|cobalt|west|rotor|12|held
1208|cobalt|north|frame|84|held
1393|gale|east|gasket|66|paid
1283|dorian|west|frame|86|shipped
1070|birch|east|rotor|58|shipped
1108|birch|west|gasket|75|paid
1796|harbor|north|cable|42|paid
1596|acme|west|frame|24|paid
1648|ionic|west|rotor|30|paid
1763|gale|east|frame|49|paid
1681|cobalt|north|cable|29|shipped
1053|harbor|west|panel|94|held
1614|fulton|south|valve|31|pending
1118|harbor|south|gasket|92|held
1785|gale|west|panel|72|paid
1533|cobalt|east|frame|81|pending
1713|juno|south|pump|21|held
1012|gale|east|pump|11|paid
1296|dorian|south|cable|13|pending
1035|gale|east|gasket|92|held
1404|dorian|north|rotor|89|pending
1449|harbor|west|panel|48|held
1756|ionic|north|rotor|34|held
1091|cobalt|west|sensor|84|held
1156|juno|west|gasket|61|held
1768|ionic|south|frame|95|pending
1477|harbor|south|rotor|91|pending
1486|juno|east|pump|22|held
1547|ember|south|sensor|91|held
1316|acme|west|rotor|37|shipped
1382|acme|north|rotor|85|paid
1588|ionic|south|pump|82|paid
1621|acme|west|cable|77|shipped
1238|harbor|west|panel|77|paid
1421|cobalt|north|gasket|13|pending
1036|gale|east|gasket|46|pending
1432|birch|south|frame|19|paid
1185|cobalt|east|valve|47|pending
1189|cobalt|west|panel|41|paid
1578|harbor|north|cable|48|pending
1668|dorian|north|valve|45|pending
1087|fulton|south|valve|16|shipped
1039|gale|east|pump|47|shipped
1142|juno|east|gasket|30|pending
1563|dorian|east|pump|71|held
1306|dorian|north|pump|91|held
1729|acme|south|frame|20|paid
1008|gale|east|valve|91|pending
1332|cobalt|east|valve|66|held
1048|gale|east|cable|92|shipped
1102|gale|east|gasket|99|held
1073|acme|east|frame|28|held
1461|gale|south|cable|76|paid
1211|harbor|west|frame|42|shipped
1110|gale|south|rotor|44|pending
1693|gale|south|sensor|48|paid
1654|ionic|north|rotor|92|paid
1273|cobalt|south|sensor|39|shipped
1354|ember|west|rotor|94|held
1627|ember|west|cable|46|shipped
1292|acme|north|rotor|70|paid
1164|ionic|south|cable|87|pending
1742|gale|west|cable|79|pending
1341|harbor|south|pump|64|shipped
1521|fulton|east|pump|71|pending
1634|gale|west|sensor|93|pending
1024|gale|east|valve|32|pending
1509|cobalt|south|pump|10|shipped
1527|ionic|east|gasket|78|paid
1303|gale|east|frame|24|held
1820|gale|west|gasket|57|held
1137|dorian|north|gasket|38|shipped
1175|juno|east|frame|47|shipped
1514|acme|east|sensor|39|held
1733|ember|north|cable|76|pending
1592|fulton|south|gasket|74|pending
1228|ionic|south|sensor|57|paid
1642|acme|south|gasket|83|pending
1037|gale|north|pump|61|pending
1347|ember|north|rotor|95|pending
1123|fulton|north|sensor|51|shipped
1801|gale|east|panel|26|pending
1566|fulton|north|panel|89|paid
1243|fulton|south|gasket|75|paid
1143|fulton|south|frame|25|held
1266|birch|south|panel|74|shipped
1336|birch|north|sensor|78|held
1313|ionic|south|pump|51|pending
1781|birch|east|gasket|87|pending
1519|dorian|north|rotor|45|paid
1385|birch|north|rotor|70|paid
1373|harbor|west|valve|67|shipped
1280|ionic|west|gasket|94|held
1389|fulton|west|valve|37|paid
1044|gale|east|pump|49|pending
1182|fulton|north|frame|58|shipped
1278|ionic|south|panel|52|paid
1468|juno|west|pump|44|shipped
1748|dorian|west|panel|44|held
1317|gale|north|panel|17|paid
1620|harbor|east|valve|88|pending
1161|harbor|south|cable|29|pending
1771|acme|south|sensor|71|paid
1261|gale|north|frame|82|pending
1214|gale|east|gasket|84|paid
1422|acme|east|valve|65|pending
1688|harbor|north|frame|30|held
1456|ionic|east|pump|18|paid
1429|harbor|west|frame|41|held
1753|acme|north|valve|21|paid
1633|acme|south|sensor|15|paid
1321|ember|north|sensor|66|shipped
1813|fulton|north|gasket|38|shipped
1020|gale|north|rotor|68|pending
1097|ember|west|gasket|86|pending
1609|dorian|west|valve|38|paid
1247|ember|east|cable|69|held
1789|cobalt|west|frame|58|pending
1320|acme|west|panel|39|pending
1660|fulton|east|sensor|93|pending
1117|birch|east|panel|80|paid
1255|ember|south|cable|51|shipped
1605|birch|east|rotor|15|pending
1600|ember|west|frame|80|shipped
1571|harbor|west|pump|95|held
1708|ionic|west|panel|15|shipped
1065|ionic|east|cable|45|shipped
1023|gale|east|pump|86|held
1229|fulton|north|sensor|24|paid
1078|harbor|north|panel|13|held
1746|juno|west|sensor|91|held
1705|dorian|north|panel|94|held
1379|birch|east|frame|45|pending
1720|gale|north|sensor|63|pending
1361|acme|south|sensor|58|paid
1740|harbor|west|cable|94|shipped
1254|harbor|north|panel|58|paid
1788|gale|west|pump|41|shipped
1331|ionic|north|pump|66|held
1698|birch|east|gasket|44|shipped
1795|acme|west|frame|41|shipped
1287|dorian|north|gasket|70|paid
1806|cobalt|west|pump|21|held
1216|cobalt|west|pump|69|pending
1750|juno|west|cable|97|held
1009|gale|south|rotor|64|pending
1265|dorian|east|rotor|46|held
1419|fulton|east|gasket|57|pending
1540|birch|east|cable|79|pending
1476|ember|north|sensor|15|pending
1441|fulton|south|panel|91|shipped
1223|acme|west|frame|11|held
1328|ionic|south|pump|62|paid
1018|gale|east|sensor|37|pending
1162|birch|east|cable|90|paid
1279|birch|south|valve|69|paid
1192|ionic|west|gasket|60|held
1368|fulton|east|pump|52|shipped
1030|gale|south|pump|89|pending
1170|fulton|south|frame|68|held
1524|ionic|east|sensor|27|paid
1696|acme|south|valve|91|paid
1059|ember|east|cable|75|held
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 60, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "valve", "qty": 91}}, {"tool": "cancel_order", "args": {"order_id": 1018}}, {"tool": "cancel_order", "args": {"order_id": 1024}}, {"tool": "cancel_order", "args": {"order_id": 1036}}, {"tool": "cancel_order", "args": {"order_id": 1044}}, {"tool": "cancel_order", "args": {"order_id": 1801}} ]
correctagentic.tools.deploy-v1conf 96% · 839ms · $0.022 · 332 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}} ]
correctagentic.tools.ledger-v1conf 99% · 628ms · $0.032 · 504 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: $752
- bravo: $349
- lima: $299

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $565 from "tango" to "bravo"
2. pay $218 from "bravo" to "tango"
3. pay $147 from "tango" to "lima"
4. pay $289 from "tango" to "lima"
5. pay $498 from "lima" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 565}}, {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 218}}, {"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 147}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 31}}, {"tool": "transfer", "args": {"from": "tango", "to": "lima", "amount": 289}}, {"tool": "transfer", "args": {"from": "lima", "to": "tango", "amount": 498}} ]
correctagentic.tools.context-load-v1conf 99% · 1.2s · $0.053 · 545 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 (127 records, format: id|customer|region|item|qty|status):
```
1144|gale|north|valve|35|pending
1378|fulton|east|pump|95|held
1403|birch|west|gasket|71|paid
1274|acme|south|cable|94|held
1375|juno|north|cable|50|paid
1426|harbor|south|gasket|13|shipped
1196|juno|south|frame|39|pending
1098|dorian|south|frame|56|pending
1440|gale|south|rotor|34|paid
1360|harbor|west|panel|48|held
1060|juno|north|rotor|83|pending
1039|juno|south|rotor|26|shipped
1124|gale|west|rotor|43|pending
1366|juno|east|rotor|72|pending
1215|acme|west|panel|66|paid
1299|fulton|west|frame|95|shipped
1220|cobalt|south|panel|22|shipped
1242|harbor|south|frame|65|held
1087|fulton|west|rotor|16|shipped
1264|gale|west|valve|18|held
1396|ember|south|valve|12|shipped
1330|ember|west|frame|27|paid
1236|gale|south|gasket|53|paid
1123|juno|north|gasket|92|held
1450|birch|west|frame|76|pending
1118|juno|north|frame|42|held
1317|cobalt|east|rotor|20|shipped
1245|birch|east|valve|63|held
1115|fulton|north|pump|83|shipped
1038|juno|west|valve|29|pending
1387|acme|south|sensor|96|shipped
1333|dorian|west|rotor|80|paid
1034|juno|south|frame|88|held
1130|gale|north|gasket|89|pending
1444|harbor|south|valve|46|paid
1241|ionic|south|rotor|93|shipped
1097|cobalt|north|frame|96|pending
1154|juno|south|valve|38|shipped
1263|ember|east|panel|24|held
1270|harbor|north|panel|67|shipped
1102|ember|west|frame|58|held
1340|dorian|west|sensor|66|paid
1108|ionic|west|gasket|12|held
1475|gale|north|rotor|45|shipped
1142|cobalt|south|frame|32|shipped
1036|juno|south|valve|16|pending
1267|ionic|south|sensor|91|shipped
1180|ionic|south|panel|86|held
1192|birch|north|cable|96|pending
1287|harbor|south|rotor|63|pending
1447|gale|north|frame|40|shipped
1024|juno|south|rotor|85|pending
1091|gale|north|pump|44|shipped
1161|juno|east|panel|75|shipped
1273|ember|west|pump|92|paid
1294|ionic|north|rotor|51|pending
1056|juno|south|frame|25|pending
1358|juno|south|rotor|28|paid
1464|cobalt|west|pump|89|held
1044|juno|south|sensor|33|pending
1310|dorian|east|sensor|90|paid
1121|fulton|south|valve|12|pending
1356|dorian|west|pump|29|pending
1019|juno|south|cable|27|shipped
1171|ember|north|gasket|81|pending
1029|juno|west|gasket|63|pending
1305|harbor|west|panel|85|paid
1174|ionic|west|gasket|93|paid
1432|birch|west|sensor|88|paid
1292|juno|west|gasket|91|shipped
1478|ember|north|cable|41|pending
1143|harbor|east|pump|53|pending
1085|birch|west|sensor|47|paid
1259|dorian|north|cable|95|shipped
1051|juno|south|gasket|61|shipped
1277|acme|south|panel|63|paid
1204|cobalt|west|rotor|44|pending
1455|fulton|west|frame|86|held
1225|fulton|north|pump|10|pending
1187|gale|south|sensor|94|pending
1390|harbor|east|cable|47|pending
1336|harbor|north|panel|59|held
1351|ionic|north|valve|37|held
1344|harbor|west|sensor|57|held
1285|fulton|north|rotor|70|shipped
1409|fulton|south|pump|14|shipped
1436|acme|west|panel|69|shipped
1166|dorian|north|cable|50|pending
1419|ember|south|rotor|35|held
1349|cobalt|south|valve|17|pending
1211|harbor|west|gasket|38|paid
1355|dorian|south|valve|27|held
1250|dorian|north|panel|82|paid
1328|gale|south|panel|48|shipped
1469|acme|north|cable|47|shipped
1414|cobalt|east|rotor|73|shipped
1265|ember|north|sensor|80|pending
1207|harbor|north|rotor|43|shipped
1046|juno|west|frame|70|pending
1332|ember|east|valve|90|shipped
1334|acme|north|rotor|81|paid
1459|harbor|west|frame|69|paid
1182|ember|east|gasket|41|held
1067|harbor|south|pump|12|held
1284|juno|east|valve|81|paid
1380|fulton|south|rotor|14|held
1203|ember|north|sensor|23|shipped
1314|dorian|north|sensor|25|shipped
1410|harbor|east|rotor|41|pending
1232|ionic|east|frame|71|pending
1175|harbor|west|panel|88|paid
1298|juno|west|sensor|42|held
1147|cobalt|east|rotor|39|held
1216|birch|south|pump|47|paid
1323|acme|east|gasket|39|pending
1472|dorian|east|gasket|41|shipped
1254|fulton|east|pump|63|shipped
1238|dorian|south|rotor|69|pending
1214|ember|south|valve|74|shipped
1372|dorian|west|rotor|49|held
1014|juno|west|sensor|40|pending
1079|ionic|west|pump|10|held
1063|juno|south|frame|30|held
1135|gale|west|cable|56|held
1011|juno|south|cable|99|pending
1208|harbor|north|cable|68|pending
1074|acme|west|frame|51|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "cable", "qty": 99}}, {"tool": "restock", "args": {"item": "rotor", "qty": 85}}, {"tool": "cancel_order", "args": {"order_id": 1036}}, {"tool": "cancel_order", "args": {"order_id": 1044}}, {"tool": "cancel_order", "args": {"order_id": 1056}}, {"tool": "cancel_order", "args": {"order_id": 1196}} ]
correctagentic.tools.triage-v1conf 96% · 555ms · $0.021 · 262 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "records missing after import" (category: data, priority 4)
2. "API latency spikes" (category: infra, priority 2)
3. "API latency spikes" (category: infra, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 4}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "rivera"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 2}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.ledger-v1conf 99% · 1.6s · $0.033 · 540 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $696
- tango: $806
- bravo: $124

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $347 from "tango" to "bravo"
2. pay $474 from "tango" to "kilo"
3. pay $98 from "kilo" to "bravo"
4. pay $564 from "bravo" to "kilo"
5. pay $201 from "bravo" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 347}}, {"tool": "top_up_from_reserve", "args": {"account": "tango", "amount": 15}}, {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 474}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 98}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 564}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 196}}, {"tool": "transfer", "args": {"from": "bravo", "to": "tango", "amount": 201}} ]
correctagentic.tools.deploy-v1conf 88% · 722ms · $0.017 · 233 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: notifier
- notifier: auth-svc
- gateway: auth-svc
- auth-svc: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "health_check", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "billing"}} ]
wrongagentic.tools.triage-v1conf 88% · 1.6s · $0.029 · 422 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 6)
2. "locked out after 2FA change" (category: auth, priority 6)
3. "invoice total wrong" (category: payments, priority 5)
4. "locked out after 2FA change" (category: auth, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "chen"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "invoice total wrong", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.context-load-v1conf 98% · 869ms · $0.070 · 621 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 (201 records, format: id|customer|region|item|qty|status):
```
1684|dorian|south|frame|15|held
1831|harbor|south|sensor|44|pending
1733|ember|east|pump|67|shipped
1592|ember|south|cable|17|held
1760|fulton|east|gasket|70|held
1467|juno|north|panel|37|paid
1947|juno|north|pump|86|pending
1985|ionic|north|sensor|27|paid
2074|ionic|north|panel|34|pending
1305|gale|south|rotor|73|pending
2066|acme|south|panel|55|paid
2016|harbor|east|cable|26|pending
1643|juno|south|pump|31|shipped
2081|juno|west|gasket|81|paid
1580|dorian|west|pump|27|paid
1459|dorian|north|panel|51|held
2040|gale|east|sensor|64|pending
1625|cobalt|south|gasket|87|held
1329|gale|south|pump|58|pending
1450|cobalt|north|rotor|28|paid
1334|gale|north|cable|24|pending
1959|juno|west|valve|48|shipped
1314|gale|south|panel|42|pending
1406|acme|east|pump|64|shipped
1832|dorian|east|valve|96|shipped
1437|juno|west|panel|74|shipped
1774|juno|south|frame|40|held
1619|dorian|north|panel|43|paid
1676|cobalt|east|frame|64|shipped
1934|ionic|north|valve|10|paid
2020|cobalt|west|frame|95|paid
1597|cobalt|west|sensor|45|pending
1767|gale|east|pump|86|held
1938|dorian|west|gasket|60|paid
1710|dorian|west|cable|32|shipped
1737|cobalt|south|rotor|14|paid
1783|fulton|north|cable|35|held
1630|dorian|north|cable|83|pending
1919|cobalt|west|gasket|41|pending
2054|fulton|south|gasket|28|paid
1906|juno|south|gasket|87|shipped
1819|harbor|south|valve|92|paid
1823|acme|north|rotor|56|held
1489|ember|north|gasket|52|paid
1660|harbor|west|cable|43|shipped
2019|harbor|west|frame|18|held
2021|dorian|south|pump|11|held
1635|birch|north|valve|80|held
1954|gale|west|frame|69|paid
1523|harbor|east|frame|93|pending
1896|ember|east|rotor|88|pending
1917|harbor|north|sensor|19|shipped
1399|ember|south|panel|45|pending
1505|juno|north|pump|48|shipped
1636|ionic|west|pump|68|paid
1742|gale|east|rotor|49|pending
1927|gale|west|pump|26|shipped
1840|birch|north|cable|27|held
1830|ember|west|panel|40|held
1898|cobalt|south|valve|91|shipped
1903|acme|west|pump|35|paid
1781|juno|north|panel|26|shipped
1847|acme|west|sensor|47|held
1835|acme|north|valve|32|shipped
1878|ionic|west|pump|83|held
1826|fulton|south|panel|61|pending
1647|fulton|west|pump|43|pending
1547|harbor|north|rotor|43|paid
1447|ember|south|pump|38|paid
1670|birch|south|frame|77|shipped
1854|dorian|east|frame|63|pending
1880|ember|east|pump|82|held
1791|birch|north|frame|57|paid
1570|dorian|north|pump|15|held
1514|birch|north|cable|34|shipped
1687|harbor|west|sensor|12|paid
1317|gale|north|cable|66|pending
2000|gale|north|panel|70|pending
1323|gale|south|gasket|44|held
1474|fulton|north|cable|30|held
2047|cobalt|east|rotor|76|paid
1665|gale|west|sensor|46|shipped
1508|acme|south|rotor|53|pending
1965|dorian|east|cable|23|held
1520|harbor|east|frame|73|paid
1659|acme|east|sensor|48|paid
1541|dorian|east|gasket|24|held
1453|harbor|north|frame|47|held
1899|acme|south|panel|42|shipped
1369|gale|south|pump|38|shipped
2030|cobalt|south|frame|14|shipped
1992|dorian|north|gasket|69|paid
2003|ember|south|rotor|36|held
1364|gale|west|valve|46|pending
1893|ionic|east|rotor|70|pending
1797|fulton|west|pump|23|held
1504|juno|south|panel|92|shipped
1693|dorian|north|sensor|57|paid
2023|gale|west|cable|20|paid
1529|birch|west|rotor|98|shipped
1863|acme|north|pump|58|paid
1379|dorian|north|sensor|68|pending
1876|juno|west|rotor|42|paid
1691|dorian|north|gasket|61|held
1571|dorian|south|gasket|99|pending
1932|ionic|south|cable|85|pending
1943|acme|west|frame|56|paid
2024|harbor|south|valve|47|held
1755|dorian|east|cable|31|held
1353|gale|south|rotor|36|shipped
2032|gale|west|sensor|46|pending
1340|gale|south|rotor|53|paid
1589|fulton|south|frame|19|paid
1812|fulton|south|rotor|59|held
1884|cobalt|east|panel|60|held
1806|juno|north|sensor|44|shipped
1346|gale|south|rotor|72|pending
1795|acme|east|gasket|13|held
1409|ionic|south|sensor|15|pending
1606|dorian|south|frame|35|shipped
1848|acme|west|valve|96|pending
1979|juno|south|valve|88|held
1746|cobalt|east|valve|16|held
1490|juno|west|gasket|18|paid
1842|ember|north|valve|91|paid
1501|cobalt|east|gasket|24|shipped
1908|ionic|south|sensor|54|pending
1481|acme|west|valve|87|shipped
1572|birch|east|panel|51|shipped
1700|dorian|west|sensor|39|shipped
1701|harbor|west|gasket|91|paid
1359|gale|south|sensor|17|pending
1440|dorian|south|frame|38|paid
2069|harbor|east|sensor|97|pending
1972|cobalt|south|panel|14|pending
1872|acme|west|valve|17|paid
1613|ionic|south|cable|58|paid
1716|ionic|west|pump|70|held
1578|juno|east|valve|95|shipped
1417|acme|west|valve|49|pending
2039|dorian|east|valve|30|held
1748|dorian|north|sensor|94|held
1610|juno|north|frame|58|pending
1680|ionic|east|panel|80|shipped
1461|juno|north|pump|67|paid
1738|harbor|west|gasket|36|held
1385|acme|east|cable|53|held
1735|cobalt|north|sensor|89|pending
1994|gale|west|gasket|62|shipped
1495|gale|east|valve|31|shipped
1393|harbor|south|panel|73|pending
1448|harbor|north|panel|36|shipped
1554|harbor|west|pump|42|held
1622|birch|south|panel|22|paid
1730|birch|east|cable|23|held
1886|birch|east|valve|36|pending
1419|birch|east|rotor|49|held
1722|ionic|south|frame|53|pending
1599|dorian|west|pump|91|held
1861|juno|north|valve|75|pending
1653|ionic|south|valve|31|held
1350|gale|east|pump|13|pending
1561|ionic|south|valve|56|shipped
1883|juno|north|gasket|22|shipped
1723|fulton|west|panel|23|paid
1912|birch|east|sensor|64|pending
1308|gale|east|sensor|76|pending
1577|ember|south|rotor|99|paid
2082|harbor|east|cable|60|pending
1478|acme|north|cable|77|shipped
2075|acme|south|sensor|53|paid
1420|juno|west|sensor|52|held
1424|juno|north|rotor|98|shipped
1534|cobalt|south|panel|33|pending
1974|acme|south|frame|72|paid
1869|juno|west|sensor|73|held
1486|cobalt|north|valve|63|pending
1567|ember|east|panel|67|held
2010|ionic|south|sensor|35|pending
1923|juno|south|gasket|12|paid
1389|ember|east|pump|44|held
2061|harbor|east|pump|32|held
1410|ember|east|cable|77|held
1801|ionic|west|cable|67|paid
1780|cobalt|south|sensor|82|held
1763|juno|west|frame|27|held
1542|ionic|east|valve|91|held
1430|ionic|north|gasket|88|held
1383|dorian|south|panel|22|paid
1790|harbor|south|panel|69|shipped
1374|cobalt|north|panel|85|paid
1739|dorian|south|sensor|57|paid
1587|ember|west|frame|44|shipped
1706|ember|west|valve|79|held
1749|juno|east|panel|78|held
1310|gale|south|panel|62|shipped
1415|harbor|east|pump|64|pending
1907|birch|west|cable|60|paid
1810|dorian|south|rotor|32|paid
1473|acme|west|panel|69|paid
1686|birch|east|frame|22|pending
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "rotor", "qty": 73}}, {"tool": "cancel_order", "args": {"order_id": 1314}}, {"tool": "restock", "args": {"item": "pump", "qty": 58}}, {"tool": "restock", "args": {"item": "rotor", "qty": 72}}, {"tool": "cancel_order", "args": {"order_id": 1359}} ]
correctagentic.tools.deploy-v1conf 92% · 1.2s · $0.016 · 226 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1conf 99% · 970ms · $0.030 · 470 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: $604
- delta: $617
- bravo: $499

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $400 from "lima" to "delta"
2. pay $138 from "lima" to "delta"
3. pay $192 from "bravo" to "delta"
4. pay $503 from "bravo" to "lima"
5. pay $286 from "delta" 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": "lima", "to": "delta", "amount": 400}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 138}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 192}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 196}}, {"tool": "transfer", "args": {"from": "bravo", "to": "lima", "amount": 503}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 286}} ]
correctagentic.tools.context-load-v1conf 98% · 1.5s · $0.078 · 699 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 (228 records, format: id|customer|region|item|qty|status):
```
1864|birch|south|rotor|87|pending
1806|gale|north|valve|88|shipped
1882|ionic|east|frame|15|held
1871|ember|south|sensor|47|pending
1790|dorian|east|cable|61|pending
1453|ember|west|sensor|31|shipped
1343|gale|east|rotor|31|shipped
1250|dorian|north|frame|62|paid
1042|dorian|west|pump|91|pending
1034|dorian|south|panel|66|held
1556|cobalt|south|pump|60|held
1048|dorian|south|cable|73|held
1330|ember|south|pump|68|pending
1546|cobalt|west|cable|11|paid
1621|ionic|west|cable|83|pending
1888|cobalt|south|gasket|52|shipped
1764|dorian|north|valve|39|pending
1543|acme|west|frame|23|pending
1861|gale|south|cable|35|pending
1459|cobalt|north|gasket|87|pending
1416|dorian|east|valve|10|held
1619|cobalt|west|gasket|89|shipped
1651|harbor|south|pump|47|paid
1347|acme|north|sensor|47|paid
1692|acme|east|valve|84|pending
1483|dorian|south|pump|63|shipped
1481|cobalt|south|frame|16|held
1107|cobalt|north|rotor|93|paid
1139|birch|south|panel|23|pending
1724|ionic|east|rotor|80|held
1738|acme|north|pump|58|paid
1697|birch|west|cable|82|shipped
1735|acme|east|gasket|18|shipped
1125|ember|east|cable|67|held
1901|cobalt|south|sensor|11|paid
1831|ember|north|pump|26|shipped
1517|juno|south|pump|13|held
1421|gale|west|gasket|77|paid
1168|ionic|north|pump|61|pending
1150|dorian|east|pump|55|paid
1180|fulton|north|panel|55|held
1507|gale|west|cable|57|pending
1132|dorian|west|pump|35|pending
1549|ember|south|valve|56|shipped
1275|ember|west|frame|27|held
1614|birch|east|sensor|28|shipped
1484|cobalt|west|panel|54|held
1503|gale|east|rotor|64|paid
1375|birch|west|frame|40|held
1850|acme|north|rotor|89|shipped
1397|acme|east|rotor|92|paid
1029|dorian|south|sensor|52|pending
1463|cobalt|west|pump|39|held
1320|ionic|north|cable|13|paid
1924|birch|north|sensor|23|shipped
1444|fulton|south|rotor|85|shipped
1286|birch|south|valve|59|held
1195|birch|south|valve|34|shipped
1199|ionic|east|gasket|23|held
1478|dorian|west|rotor|43|paid
1647|harbor|west|gasket|45|paid
1558|birch|east|sensor|69|pending
1941|dorian|north|gasket|23|shipped
1120|birch|south|gasket|79|held
1136|harbor|north|rotor|58|paid
1628|ionic|east|rotor|24|shipped
1293|juno|north|pump|72|pending
1425|juno|south|panel|98|paid
1146|gale|south|valve|15|shipped
1708|ember|west|panel|12|shipped
1825|ionic|east|pump|58|pending
1720|harbor|north|panel|26|held
1114|acme|south|valve|90|pending
1371|birch|west|pump|56|held
1895|birch|south|panel|29|pending
1106|gale|west|valve|27|shipped
1596|ionic|north|panel|35|paid
1075|birch|north|valve|13|paid
1745|ionic|south|gasket|61|held
1030|dorian|north|gasket|46|pending
1445|ember|west|rotor|13|paid
1504|harbor|south|valve|81|held
1855|fulton|west|panel|32|paid
1322|gale|east|valve|84|shipped
1771|fulton|south|sensor|52|shipped
1653|ember|west|gasket|80|paid
1715|cobalt|north|pump|22|pending
1841|ember|south|sensor|41|held
1811|dorian|south|cable|22|held
1493|gale|east|pump|39|held
1917|dorian|east|rotor|20|shipped
1101|gale|west|pump|41|paid
1722|fulton|south|panel|12|held
1666|juno|north|gasket|60|pending
1876|birch|west|rotor|35|pending
1460|cobalt|east|rotor|36|paid
1234|cobalt|west|panel|80|pending
1661|juno|south|frame|85|shipped
1296|fulton|east|gasket|58|shipped
1110|acme|south|rotor|76|paid
1242|fulton|east|panel|81|paid
1490|cobalt|north|frame|15|paid
1737|birch|north|valve|82|paid
1930|dorian|west|pump|85|shipped
1089|cobalt|north|valve|54|pending
1162|gale|west|rotor|66|held
1358|birch|east|gasket|95|paid
1079|birch|south|valve|53|held
1410|juno|south|valve|21|held
1829|cobalt|west|frame|47|pending
1157|dorian|west|frame|61|pending
1668|birch|east|sensor|58|shipped
1947|fulton|west|cable|19|held
1510|cobalt|west|cable|40|paid
1741|ionic|north|valve|48|pending
1280|dorian|south|panel|24|paid
1703|ionic|west|frame|76|paid
1329|dorian|east|panel|92|pending
1246|birch|west|valve|79|shipped
1351|fulton|north|cable|33|held
1192|juno|east|rotor|49|shipped
1204|ionic|east|cable|92|paid
1600|gale|east|valve|52|pending
1396|dorian|north|pump|42|shipped
1898|gale|south|valve|23|held
1064|dorian|south|cable|14|pending
1791|birch|north|valve|80|held
1635|birch|south|frame|97|pending
1523|ember|north|gasket|81|paid
1432|harbor|south|pump|79|paid
1732|ionic|south|cable|53|shipped
1269|ember|north|panel|30|paid
1912|birch|north|sensor|33|paid
1824|birch|north|gasket|36|pending
1470|fulton|west|frame|69|paid
1356|gale|west|cable|34|paid
1794|gale|west|gasket|59|pending
1265|fulton|south|valve|23|paid
1253|juno|south|pump|26|paid
1137|fulton|east|frame|44|held
1810|dorian|north|pump|44|paid
1469|cobalt|south|panel|67|held
1332|juno|west|sensor|59|pending
1301|fulton|south|cable|61|held
1209|gale|north|gasket|75|shipped
1082|cobalt|south|pump|99|pending
1631|juno|north|cable|28|paid
1095|acme|east|gasket|89|shipped
1550|ionic|south|frame|49|held
1783|gale|west|frame|97|shipped
1777|birch|west|rotor|59|held
1751|acme|east|valve|20|held
1818|harbor|east|frame|99|shipped
1439|gale|south|rotor|69|shipped
1681|fulton|south|rotor|72|held
1299|ionic|north|pump|16|paid
1138|gale|north|frame|38|paid
1586|juno|east|panel|61|paid
1291|dorian|south|cable|99|pending
1674|ember|north|valve|28|shipped
1173|birch|south|panel|51|held
1954|ionic|west|pump|85|pending
1279|juno|north|gasket|78|shipped
1215|fulton|south|pump|32|shipped
1404|fulton|west|valve|21|paid
1593|cobalt|north|valve|21|shipped
1169|fulton|west|panel|99|paid
1126|ionic|west|gasket|46|paid
1178|birch|east|cable|20|held
1659|ionic|south|pump|18|shipped
1190|birch|south|cable|87|held
1388|dorian|east|valve|91|pending
1704|harbor|east|frame|87|pending
1381|cobalt|south|valve|50|paid
1276|harbor|south|rotor|20|shipped
1538|ember|west|pump|94|pending
1576|ionic|south|pump|19|shipped
1937|harbor|south|valve|96|shipped
1756|fulton|south|frame|68|held
1037|dorian|south|cable|32|pending
1231|juno|north|sensor|62|shipped
1585|cobalt|east|frame|50|pending
1799|ember|south|valve|24|held
1529|gale|south|panel|66|held
1446|gale|west|valve|35|shipped
1354|ionic|west|sensor|83|pending
1076|harbor|east|valve|16|pending
1551|birch|west|valve|16|pending
1563|fulton|west|rotor|68|held
1054|dorian|west|panel|91|pending
1096|ember|south|valve|55|held
1050|dorian|south|pump|71|pending
1907|birch|south|frame|58|shipped
1640|acme|west|sensor|52|held
1447|juno|north|rotor|58|held
1579|acme|south|sensor|81|pending
1730|gale|south|frame|12|paid
1657|ember|east|panel|68|pending
1837|fulton|east|valve|81|shipped
1498|harbor|north|gasket|36|pending
1535|acme|west|sensor|21|held
1607|ionic|west|cable|58|shipped
1475|acme|west|cable|11|paid
1766|birch|west|cable|80|shipped
1570|dorian|south|gasket|88|paid
1070|dorian|south|sensor|53|held
1393|birch|east|frame|78|pending
1074|juno|east|cable|68|paid
1763|fulton|south|frame|24|pending
1308|harbor|south|frame|74|pending
1140|juno|north|pump|45|shipped
1224|ember|north|cable|24|pending
1337|juno|west|panel|25|pending
1945|ionic|north|gasket|23|held
1218|cobalt|west|valve|27|held
1068|dorian|north|pump|48|pending
1892|birch|south|panel|53|shipped
1239|fulton|west|panel|80|paid
1184|birch|south|cable|43|pending
1057|dorian|south|sensor|92|paid
1259|fulton|west|panel|81|paid
1846|fulton|north|sensor|27|pending
1364|cobalt|east|cable|40|shipped
1166|ionic|east|rotor|62|held
1314|acme|south|panel|84|held
1685|gale|north|pump|58|held
1719|gale|east|sensor|52|pending
1434|ember|south|pump|46|held
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "restock", "args": {"item": "sensor", "qty": 52}}, {"tool": "cancel_order", "args": {"order_id": 1037}}, {"tool": "restock", "args": {"item": "pump", "qty": 71}}, {"tool": "cancel_order", "args": {"order_id": 1064}}, {"tool": "restock", "args": {"item": "cable", "qty": 99}} ]
correctagentic.tools.triage-v1conf 98% · 841ms · $0.026 · 354 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- data → haddad
- infra → dubois
- auth → okafor

INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 6)
2. "uploads failing intermittently" (category: infra, priority 5)
3. "locked out after 2FA change" (category: auth, priority 3)
4. "uploads failing intermittently" (category: infra, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "dashboard shows stale numbers", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "haddad"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 5}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-2"}} ]
correctagentic.tools.deploy-v1conf 96% · 1.0s · $0.012 · 148 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}} ]
correctagentic.tools.ledger-v1conf 99% · 871ms · $0.031 · 499 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $203
- alpha: $804
- bravo: $876

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $313 from "alpha" to "bravo"
2. pay $342 from "alpha" to "kilo"
3. pay $309 from "bravo" to "kilo"
4. pay $496 from "alpha" to "kilo"
5. pay $102 from "kilo" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "alpha", "to": "bravo", "amount": 313}}, {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 342}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 309}}, {"tool": "top_up_from_reserve", "args": {"account": "alpha", "amount": 347}}, {"tool": "transfer", "args": {"from": "alpha", "to": "kilo", "amount": 496}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 102}} ]
correctagentic.tools.triage-v1conf 88% · 773ms · $0.034 · 531 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- infra → novak
- auth → okafor
- payments → tanaka

INCIDENTS:
1. "uploads failing intermittently" (category: infra, priority 6)
2. "locked out after 2FA change" (category: auth, priority 9)
3. "uploads failing intermittently" (category: infra, priority 6)
4. "uploads failing intermittently" (category: infra, 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": "uploads failing intermittently", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "locked out after 2FA change", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-2"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 6}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 8}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "novak"}} ]
correctagentic.tools.context-load-v1conf 98% · 1.2s · $0.066 · 488 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 (218 records, format: id|customer|region|item|qty|status):
```
1785|ionic|north|gasket|62|held
1586|fulton|east|gasket|73|pending
1367|cobalt|west|valve|30|shipped
1911|harbor|north|pump|47|paid
1823|dorian|north|rotor|75|held
2075|ember|north|valve|35|shipped
1830|juno|west|frame|22|held
1801|birch|west|panel|54|shipped
1354|dorian|north|sensor|13|shipped
1414|ionic|east|cable|52|shipped
1625|cobalt|north|rotor|84|held
1444|harbor|north|gasket|20|held
2051|gale|west|pump|10|held
1305|acme|north|pump|56|pending
1387|ionic|east|frame|19|shipped
1538|ember|east|frame|75|held
1856|dorian|north|gasket|52|held
1472|fulton|north|rotor|25|shipped
1369|fulton|south|cable|52|paid
1313|acme|east|panel|36|pending
1613|birch|north|pump|56|paid
1606|acme|east|valve|84|pending
1610|dorian|north|pump|87|shipped
1967|harbor|south|sensor|88|pending
1260|birch|north|sensor|63|held
1989|cobalt|south|frame|84|paid
2047|acme|east|cable|36|paid
1299|ionic|south|panel|41|shipped
1792|gale|south|cable|76|shipped
2034|birch|west|sensor|22|held
1893|ionic|north|rotor|17|paid
1776|acme|east|cable|24|pending
1650|fulton|south|gasket|35|held
1870|gale|west|pump|78|held
1990|cobalt|west|cable|85|pending
1727|gale|west|valve|16|paid
1574|harbor|east|rotor|77|held
1501|cobalt|north|cable|11|paid
1722|juno|north|sensor|31|pending
1361|ember|north|pump|68|pending
1289|ionic|north|sensor|14|paid
1877|acme|south|frame|80|pending
1422|gale|north|pump|53|pending
1379|harbor|south|panel|57|held
2036|cobalt|south|rotor|10|pending
1401|ember|east|pump|18|shipped
1427|juno|west|cable|54|shipped
1682|gale|south|sensor|12|shipped
1806|harbor|north|pump|60|shipped
1634|harbor|south|panel|27|shipped
1768|dorian|west|rotor|99|paid
1901|ember|south|rotor|38|pending
1968|fulton|north|rotor|56|paid
2005|ionic|west|sensor|56|held
2003|birch|west|sensor|56|shipped
1718|birch|north|frame|83|held
1706|juno|north|valve|33|shipped
1619|juno|west|valve|96|pending
1288|gale|south|frame|16|shipped
1730|cobalt|north|panel|67|pending
1813|acme|east|cable|49|shipped
1398|juno|east|panel|50|held
2012|cobalt|north|panel|97|paid
1895|dorian|west|frame|44|shipped
1784|acme|south|rotor|21|shipped
1642|fulton|west|pump|42|held
1703|acme|north|gasket|77|shipped
1372|acme|west|gasket|20|pending
1348|cobalt|south|panel|73|paid
1580|cobalt|south|cable|46|shipped
1547|dorian|south|pump|48|paid
1920|ember|east|valve|15|paid
1502|birch|east|valve|56|paid
2059|harbor|east|panel|45|shipped
1561|cobalt|west|pump|27|pending
1919|dorian|east|gasket|31|held
1926|ember|north|sensor|56|paid
1944|ember|east|panel|32|held
1677|fulton|west|frame|66|held
1334|fulton|east|sensor|88|pending
1821|ionic|west|cable|35|held
1481|gale|east|gasket|78|pending
1948|ionic|south|panel|92|held
2065|gale|east|cable|59|paid
1799|gale|south|pump|73|paid
1777|gale|north|pump|62|held
1660|acme|north|panel|87|shipped
1902|juno|west|cable|73|shipped
1482|ember|east|frame|99|held
1311|ionic|east|frame|96|pending
1415|fulton|south|rotor|51|paid
1780|gale|west|panel|71|shipped
1441|fulton|south|gasket|49|pending
1787|dorian|south|valve|18|held
2025|gale|north|sensor|83|pending
1341|gale|east|rotor|59|pending
1942|fulton|west|cable|97|held
1745|acme|north|gasket|11|shipped
1568|birch|north|valve|66|held
1695|fulton|west|rotor|36|pending
1954|cobalt|east|gasket|43|paid
1381|gale|south|cable|67|held
1582|cobalt|south|pump|88|paid
1380|acme|west|frame|14|shipped
1593|ember|east|rotor|54|paid
1292|juno|north|gasket|99|held
1373|ionic|west|sensor|27|held
1497|dorian|south|cable|59|held
1453|cobalt|north|sensor|34|shipped
1882|dorian|west|panel|54|shipped
1543|harbor|south|gasket|15|paid
1514|ionic|north|sensor|59|shipped
1765|gale|west|valve|54|pending
2045|fulton|east|rotor|20|pending
1653|ionic|east|panel|43|shipped
2084|acme|east|rotor|45|shipped
1518|gale|east|cable|25|pending
1540|juno|east|sensor|25|paid
1824|cobalt|south|panel|64|shipped
1773|harbor|north|rotor|79|pending
1702|cobalt|east|sensor|63|pending
1905|birch|south|pump|53|paid
1736|birch|east|sensor|95|pending
1889|harbor|south|frame|84|shipped
2057|dorian|south|cable|25|pending
1261|birch|north|valve|13|pending
1925|dorian|east|frame|75|shipped
1446|fulton|west|sensor|12|held
1716|cobalt|south|sensor|91|shipped
1375|birch|west|sensor|83|shipped
1949|dorian|north|gasket|98|paid
1853|ionic|north|sensor|37|shipped
1252|birch|north|gasket|26|pending
1979|harbor|west|rotor|24|shipped
1436|dorian|south|frame|33|held
1638|cobalt|north|gasket|41|held
1507|birch|north|frame|43|shipped
2078|gale|west|cable|86|paid
1297|birch|south|frame|16|paid
1255|birch|south|valve|44|pending
1408|gale|south|rotor|56|held
2028|ember|north|valve|67|shipped
1663|cobalt|north|gasket|56|shipped
1969|fulton|east|valve|97|shipped
1845|dorian|east|panel|43|shipped
1477|dorian|east|cable|25|paid
1631|juno|east|frame|33|shipped
1478|fulton|south|rotor|22|held
1644|fulton|east|pump|95|held
1624|birch|east|frame|44|held
1328|ionic|north|pump|53|paid
1756|birch|south|frame|57|pending
1263|birch|east|cable|81|pending
1489|cobalt|west|valve|17|shipped
1666|birch|west|gasket|40|paid
1319|birch|west|valve|69|held
1738|cobalt|north|frame|50|shipped
1388|birch|south|frame|56|shipped
1269|birch|north|frame|92|held
1963|gale|east|valve|57|paid
1498|dorian|west|gasket|11|held
1961|harbor|north|sensor|96|shipped
1460|acme|north|sensor|85|paid
2043|dorian|north|frame|40|shipped
1450|fulton|west|frame|60|paid
1754|juno|south|cable|24|held
1429|ember|south|sensor|86|held
1752|ionic|east|pump|39|pending
1522|juno|west|pump|69|held
1671|ionic|west|sensor|89|shipped
2072|harbor|west|valve|12|pending
1852|fulton|west|panel|10|shipped
1539|ember|south|panel|52|held
1843|ember|south|gasket|77|held
1617|acme|west|sensor|27|held
1817|juno|south|panel|45|pending
1698|dorian|west|valve|22|shipped
1327|ionic|west|gasket|32|pending
1687|juno|west|cable|40|shipped
1490|gale|east|frame|49|shipped
1528|ember|north|sensor|36|shipped
2019|harbor|north|rotor|24|paid
1866|gale|south|cable|66|held
2009|cobalt|west|sensor|71|shipped
1735|gale|north|valve|37|shipped
1729|gale|north|cable|41|paid
1701|ember|east|sensor|63|held
1836|juno|south|frame|41|shipped
1531|gale|west|valve|84|paid
1600|birch|east|rotor|11|held
1828|ember|west|pump|30|pending
1283|birch|north|pump|22|shipped
1975|dorian|south|pump|42|paid
1392|cobalt|west|cable|48|shipped
1709|cobalt|south|valve|89|paid
1491|ionic|north|pump|72|shipped
1973|ionic|north|cable|40|pending
1985|ember|south|pump|59|shipped
1915|ember|north|pump|14|shipped
1672|acme|west|rotor|20|paid
1274|birch|north|pump|74|pending
1405|fulton|west|gasket|36|held
1321|fulton|west|panel|83|paid
1873|dorian|west|cable|77|held
1397|fulton|west|rotor|38|shipped
1554|acme|north|valve|28|held
1997|cobalt|south|cable|54|pending
1863|fulton|east|rotor|85|held
1506|ember|south|valve|89|paid
1466|juno|south|sensor|55|pending
1277|birch|east|valve|40|pending
1937|juno|west|valve|42|paid
1760|juno|south|cable|28|held
1770|fulton|west|valve|34|paid
2013|harbor|north|sensor|62|paid
1370|juno|south|sensor|98|paid
1931|birch|south|cable|15|pending
1692|dorian|east|frame|85|held
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "cancel_order", "args": {"order_id": 1252}}, {"tool": "cancel_order", "args": {"order_id": 1261}}, {"tool": "restock", "args": {"item": "pump", "qty": 74}} ]
correctagentic.tools.ledger-v1conf 99% · 663ms · $0.040 · 664 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- kilo: $477
- oscar: $144
- bravo: $576

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $539 from "bravo" to "kilo"
2. pay $292 from "oscar" to "kilo"
3. pay $492 from "bravo" to "kilo"
4. pay $146 from "oscar" to "bravo"
5. pay $209 from "kilo" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 539}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 148}}, {"tool": "transfer", "args": {"from": "oscar", "to": "kilo", "amount": 292}}, {"tool": "top_up_from_reserve", "args": {"account": "bravo", "amount": 455}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 492}}, {"tool": "top_up_from_reserve", "args": {"account": "oscar", "amount": 146}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 146}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 209}} ]
correctagentic.tools.deploy-v1conf 96% · 882ms · $0.021 · 324 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: billing
- gateway: auth-svc
- auth-svc: reports
- billing: (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": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}} ]
correctagentic.tools.triage-v1conf 98% · 1.7s · $0.021 · 265 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "cannot reset password" (category: auth, priority 6)
3. "card declined at checkout" (category: payments, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "create_ticket", "args": {"title": "cannot reset password", "priority": 6}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "silva"}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 3}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}} ]
correctagentic.tools.context-load-v1anchorconf 92% · 779ms · $0.066 · 584 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 92% · 878ms · $0.017 · 242 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
correctagentic.tools.ledger-v1anchorconf 99% · 1.2s · $0.036 · 584 tok
model answer: [ {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 134}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 345}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
correctagentic.tools.triage-v1anchorconf 96% · 762ms · $0.026 · 372 tok
model answer: [ {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "create_ticket", "args": {"title": "refund double-charged", "priority": 2}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "okafor"}}, {"tool": "create_ticket", "args": {"title": "API latency spikes", "priority": 9}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
code 30/30 correct
correctcode.trace.nested-v1conf 100% · 2.6s · $0.031 · 592 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) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 135
correctcode.trace.js-v1conf 100% · 715ms · $0.013 · 220 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 * 4)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 100
correctcode.trace.python-v1conf 99% · 840ms · $0.020 · 376 tok
question
What does this Python program print?

```python
total = 0
v = 15
while total + v <= 43:
    if v % 3 != 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: 0
correctcode.trace.js-v1conf 100% · 706ms · $0.019 · 339 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];
const out = arr
  .map(n => n * 2)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 120
correctcode.trace.nested-v1conf 99% · 859ms · $0.032 · 599 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 137
correctcode.trace.python-v1conf 100% · 678ms · $0.018 · 340 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 12
while total + v <= 72:
    if v % 3 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 48
correctcode.trace.nested-v1conf 99% · 661ms · $0.037 · 703 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 411
correctcode.trace.js-v1conf 100% · 998ms · $0.014 · 245 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 420
correctcode.trace.python-v1conf 99% · 1.7s · $0.016 · 295 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 15
while total + v <= 67:
    if v % 6 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 48
correctcode.trace.nested-v1conf 99% · 1.3s · $0.052 · 996 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 332
correctcode.trace.js-v1conf 99% · 1.1s · $0.014 · 247 tok
question
What does this JavaScript program log?

```js
const arr = [8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 2)
  .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: 20
correctcode.trace.python-v1conf 100% · 888ms · $0.024 · 443 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 1
while total + v <= 44:
    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: 40
correctcode.trace.js-v1conf 100% · 1.1s · $0.018 · 320 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 546
correctcode.trace.nested-v1conf 99% · 623ms · $0.032 · 594 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 117
correctcode.trace.python-v1conf 99% · 694ms · $0.028 · 521 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 1
while total + v <= 40:
    if v % 6 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 35
correctcode.trace.js-v1conf 99% · 691ms · $0.013 · 212 tok
question
What does this JavaScript program log?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 6)
  .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: 90
correctcode.trace.nested-v1conf 99% · 717ms · $0.032 · 593 tok
question
Trace this Python program exactly. What does it print?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 140
correctcode.trace.python-v1conf 99% · 654ms · $0.019 · 352 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 10
while total + v <= 120:
    if v % 3 != 0:
        total += v
    v += 7
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 96
correctcode.trace.nested-v1conf 99% · 774ms · $0.059 · 1136 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 == 5 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 323
correctcode.trace.js-v1conf 100% · 650ms · $0.015 · 255 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [1, 2, 3, 4, 5, 6, 7];
const out = arr
  .map(n => n * 4)
  .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: 36
correctcode.trace.python-v1conf 99% · 747ms · $0.019 · 340 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 8
while total + v <= 48:
    if v % 4 != 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: 40
correctcode.trace.nested-v1conf 99% · 729ms · $0.059 · 1144 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) % 4 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 374
correctcode.trace.js-v1conf 99% · 1.3s · $0.011 · 190 tok
question
What does this JavaScript program log?

```js
const arr = [6, 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 99% · 633ms · $0.026 · 498 tok
question
What does this Python program print?

```python
total = 0
v = 9
while total + v <= 93:
    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: 90
correctcode.trace.js-v1conf 99% · 855ms · $0.012 · 191 tok
question
What does this JavaScript program log?

```js
const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 6)
  .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: 90
correctcode.trace.nested-v1conf 99% · 849ms · $0.041 · 778 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 == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 243
correctcode.trace.python-v1anchorconf 100% · 863ms · $0.043 · 826 tok
model answer: 0
correctcode.trace.js-v1anchorconf 100% · 1.6s · $0.015 · 265 tok
model answer: 63
correctcode.trace.nested-v1anchorconf 99% · 1.3s · $0.041 · 780 tok
model answer: 283
correctcode.trace.python-v1anchorconf 99% · 2.5s · $0.018 · 336 tok
model answer: 40
instruction following 30/30 correct
correctif.constraints.stack-v1conf 96% · 1.9s · $0.031 · 586 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "flint" and the last word must be "orbit".
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: flint roads stretched far, past basalt cliffs and basalt valleys, we traveled onward through deserts, mountains, rivers, until earth itself seemed to reach orbit
correctif.format.acronym-v1conf 99% · 2.2s · $0.005 · 74 tok
question
Take the second letter of each of these words, in order: orbit, basalt, echo, comet, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: RACOE
correctif.format.repeat-v1conf 100% · 1.3s · $0.003 · 43 tok
question
Write the word "falcon" in lowercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: falcon/falcon/falcon/falcon/falcon/falcon
correctif.constraints.stack-v1conf 96% · 1.1s · $0.021 · 378 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "zephyr" and the last word must be "basalt".
3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr winds drift past ember lights as ember shadows hug the ember streets basalt
correctif.format.acronym-v1conf 100% · 1.2s · $0.003 · 25 tok
question
Take the first letter of each of these words, in order: basalt, cedar, flint, comet, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: BCFCP
correctif.constraints.stack-v1conf 96% · 1.1s · $0.019 · 329 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "ember" and the last word must be "flint".
3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember waves crash on basalt shores where salt winds meet basalt cliffs and dark basalt tides roll endlessly beneath the moon like flint
correctif.format.repeat-v1conf 100% · 819ms · $0.003 · 34 tok
question
Write the word "flint" 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: flint_flint_flint_flint_flint
correctif.format.acronym-v1conf 99% · 1.1s · $0.006 · 83 tok
question
Take the second letter of each of these words, in order: comet, orbit, echo, prism, basalt, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ORCRAL
correctif.constraints.stack-v1conf 95% · 1.8s · $0.020 · 364 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "prism" 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: prism tundra waves crash where the tundra meets foam and salt drifts past the frozen tundra shore beneath a dim horizon glowing ember
correctif.format.repeat-v1conf 90% · 1.3s · $0.003 · 43 tok
question
Write the word "zephyr" in capitalized form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Zephyr_Zephyr_Zephyr_Zephyr
correctif.format.acronym-v1conf 99% · 1.4s · $0.006 · 84 tok
question
Take the second letter of each of these words, in order: tundra, zephyr, lumen, flint, comet, 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: UEULOU
correctif.constraints.stack-v1conf 96% · 1.9s · $0.015 · 247 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "tundra" and the last word must be "lumen".
3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra winds meet the sea where every ember fades and each ember sparks bright lumen
correctif.format.repeat-v1conf 100% · 961ms · $0.004 · 54 tok
question
Write the word "prism" 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: PRISM/PRISM/PRISM/PRISM/PRISM/PRISM/PRISM
correctif.constraints.stack-v1conf 95% · 1.9s · $0.017 · 288 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "cedar" and the last word must be "falcon".
3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cedar basalt basalt basalt frost covers the cold still morning air near sleeping falcon
correctif.format.acronym-v1conf 100% · 871ms · $0.003 · 24 tok
question
Take the first letter of each of these words, in order: prism, zephyr, flint, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: PZFC
correctif.format.repeat-v1conf 100% · 1.1s · $0.005 · 67 tok
question
Write the word "orbit" in uppercase form, repeated exactly 8 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT_ORBIT
correctif.format.acronym-v1conf 99% · 1.3s · $0.005 · 72 tok
question
Take the second letter of each of these words, in order: falcon, orbit, flint, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ARLR
correctif.format.repeat-v1conf 100% · 993ms · $0.004 · 47 tok
question
Write the word "orbit" 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: orbit-orbit-orbit-orbit-orbit-orbit-orbit
correctif.constraints.stack-v1conf 96% · 1.1s · $0.016 · 272 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "tundra" and the last word must be "ember".
3. Use the word "flint" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra meets the sea where flint waves crash hard against rocks as sailors watch the cold flint horizon fade into one glowing ember
correctif.format.acronym-v1conf 100% · 1.9s · $0.003 · 25 tok
question
Take the first letter of each of these words, in order: zephyr, delta, flint, comet. 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: ZDFC
correctif.format.repeat-v1conf 95% · 978ms · $0.003 · 40 tok
question
Write the word "tundra" in capitalized form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: TUNDRA/TUNDRA/TUNDRA
correctif.constraints.stack-v1conf 98% · 1.4s · $0.016 · 269 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "orbit" and the last word must be "cedar".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbit the falcon flew past mountains while another falcon soared beyond valleys toward that ancient towering cedar
correctif.format.acronym-v1conf 99% · 1.1s · $0.005 · 75 tok
question
Take the second letter of each of these words, in order: zephyr, prism, comet, quartz, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: EROUU
correctif.format.repeat-v1conf 99% · 1.9s · $0.004 · 49 tok
question
Write the word "orbit" 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: ORBIT-ORBIT-ORBIT-ORBIT-ORBIT
correctif.constraints.stack-v1conf 96% · 840ms · $0.015 · 260 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "drift" and the last word must be "zephyr".
3. Use the word "flint" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: drift snow covers the cold flint hills as frost meets hard flint stone in morning zephyr
correctif.format.acronym-v1conf 99% · 1.3s · $0.005 · 70 tok
question
Take the third letter of each of these words, in order: lumen, delta, ember, comet. 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: MLBM
correctif.constraints.stack-v1anchorconf 95% · 1.2s · $0.024 · 435 tok
model answer: drift through streets where each lumen glows soft, another lumen fading slow, one final lumen shining bright above the sleeping city like distant orbit
correctif.format.repeat-v1anchorconf 98% · 1.0s · $0.004 · 59 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 99% · 1.6s · $0.005 · 67 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 1.1s · $0.003 · 26 tok
model answer: ZDFQ
knowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 2.3s · $0.002 · 24 tok
question
Identify 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% · 2.2s · $0.003 · 30 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% · 1.4s · $0.002 · 24 tok
question
Identify the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 663ms · $0.002 · 23 tok
question
What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 520ms · $0.002 · 24 tok
question
Identify the capital of Brazil.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 99% · 609ms · $0.003 · 30 tok
question
Name the writer of the novel "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
correctknowledge.fr.factbank-v2conf 100% · 1.0s · $0.002 · 24 tok
question
Name 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% · 3.4s · $0.002 · 25 tok
question
What is 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% · 1.1s · $0.002 · 24 tok
question
Identify 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% · 921ms · $0.002 · 24 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% · 654ms · $0.002 · 24 tok
question
What is the capital of Nigeria?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 1.6s · $0.003 · 30 tok
question
What is 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% · 691ms · $0.003 · 30 tok
question
Identify the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel García Márquez
correctknowledge.fr.factbank-v2conf 100% · 1.3s · $0.002 · 25 tok
question
Identify 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% · 1.5s · $0.002 · 28 tok
question
Name the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 895ms · $0.002 · 24 tok
question
Name the chemical element with symbol Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 782ms · $0.002 · 24 tok
question
What is the capital of Brazil?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
correctknowledge.fr.factbank-v2conf 100% · 1.1s · $0.003 · 28 tok
question
Identify the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 720ms · $0.002 · 24 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% · 994ms · $0.002 · 23 tok
question
Name the element whose symbol is Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 778ms · $0.002 · 25 tok
question
Name the element whose symbol is W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 893ms · $0.002 · 23 tok
question
What is the chemical element with symbol Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 874ms · $0.002 · 24 tok
question
Identify the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 773ms · $0.002 · 24 tok
question
Identify the chemical element with symbol K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 1.4s · $0.003 · 28 tok
question
Identify the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 503ms · $0.002 · 23 tok
question
Identify 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-v2anchorconf 100% · 1.1s · $0.002 · 24 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 2.1s · $0.002 · 24 tok
model answer: Antimony
correctknowledge.fr.factbank-v2anchorconf 100% · 897ms · $0.002 · 25 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 658ms · $0.002 · 23 tok
model answer: Lead
math 30/30 correct
correctmath.chained.pipeline-v1conf 99% · 2.1s · $0.009 · 140 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 45 × 71.
Step 2: Q = P × 8 − 259.
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: 8435
correctmath.counterfactual.base-v1conf 99% · 620ms · $0.019 · 352 tok
question
Work strictly in base 11. Multiply the base-11 numbers 38 and 69. 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: 2346
correctmath.percent.chain-v2conf 99% · 926ms · $0.009 · 147 tok
question
An inventory starts at 89000 units. A rival firm shipped 50 unrelated parcels the same week. In the first month the inventory grows by 6%. The warehouse was painted 150 years ago. The next month it shrinks by 18%, and the month after it grows by 40%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108302.32
correctmath.algebra.system-v2conf 99% · 589ms · $0.011 · 200 tok
question
Solve the system, then answer the derived question.

3x + 5y = 58
7x − 4y = -319

What is the value of 5x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -232
correctmath.arith.chain-v2conf 99% · 794ms · $0.009 · 149 tok
question
Calculate the following. Show your reasoning, then answer.

(((52 × 51 − 634) × 4 + 9256) − 93 × 85) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 18846
correctmath.counterfactual.base-v1conf 99% · 1.0s · $0.026 · 487 tok
question
Work strictly in base 9. Multiply the base-9 numbers 54 and 50. 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: 3020
correctmath.chained.pipeline-v1conf 99% · 891ms · $0.010 · 158 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 63 × 83.
Step 2: Q = P × 3 − 149.
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: 2224
correctmath.percent.chain-v2conf 96% · 1.6s · $0.008 · 125 tok
question
An inventory starts at 7000 units. The delivery van has a 56-liter fuel tank. In the first month the inventory grows by 22%. Each pallet weighs about 162 grams more when wet. The next month it shrinks by 32%, and the month after it grows by 34%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 7781.65
correctmath.algebra.system-v2conf 99% · 506ms · $0.007 · 122 tok
question
Solve the system, then answer the derived question.

7x + 6y = -168
7x − 8y = -266

What is the value of 5x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -164
correctmath.arith.chain-v2conf 99% · 633ms · $0.007 · 124 tok
question
Work out the exact value of this expression.

(((38 × 66 − 227) × 4 + 8532) − 44 × 69) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 29240
correctmath.counterfactual.base-v1conf 99% · 1.6s · $0.023 · 432 tok
question
Work strictly in base 9. Multiply the base-9 numbers 55 and 102. 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: 5621
correctmath.chained.pipeline-v1conf 99% · 992ms · $0.009 · 150 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 68 × 66.
Step 2: Q = P × 6 − 716.
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: 3280
correctmath.percent.chain-v2conf 96% · 815ms · $0.009 · 137 tok
question
An inventory starts at 83000 units. The company was founded 146 kilometers from the port. In the first month the inventory grows by 21%. The delivery van has a 45-liter fuel tank. The next month it shrinks by 27%, and the month after it grows by 8%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 79179.01
correctmath.algebra.system-v2conf 99% · 748ms · $0.010 · 178 tok
question
Solve the system, then answer the derived question.

3x + 2y = -52
2x − 4y = -184

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: -300
correctmath.counterfactual.base-v1conf 99% · 2.0s · $0.021 · 390 tok
question
Work strictly in base 7. Add the base-7 numbers 5330 and 2150. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 10510
correctmath.arith.chain-v2conf 99% · 916ms · $0.007 · 124 tok
question
Compute the value of the following expression.

(((64 × 69 − 439) × 7 + 7121) − 91 × 19) × 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: 199386
correctmath.chained.pipeline-v1conf 99% · 568ms · $0.008 · 128 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 79 × 48.
Step 2: Q = P × 9 − 996.
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: 11044
correctmath.percent.chain-v2conf 98% · 694ms · $0.009 · 140 tok
question
An inventory starts at 22000 units. The delivery van has a 71-liter fuel tank. In the first month the inventory grows by 27%. The company was founded 12 kilometers from the port. The next month it shrinks by 15%, and the month after it grows by 9%. 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: 25886.41
correctmath.algebra.system-v2conf 99% · 613ms · $0.009 · 150 tok
question
Solve the system, then answer the derived question.

3x + 3y = 159
9x − 8y = -33

What is the value of 4x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -28
correctmath.arith.chain-v2conf 99% · 660ms · $0.008 · 138 tok
question
Compute the value of the following expression.

(((47 × 89 − 375) × 3 + 9707) − 85 × 63) × 7

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 110432
correctmath.chained.pipeline-v1conf 99% · 847ms · $0.009 · 155 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 61 × 31.
Step 2: Q = P × 7 − 477.
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: 2130
correctmath.counterfactual.base-v1conf 99% · 645ms · $0.020 · 363 tok
question
Work strictly in base 11. Multiply the base-11 numbers 5A and 21. 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: 113A
correctmath.percent.chain-v2conf 99% · 1.8s · $0.006 · 87 tok
question
An inventory starts at 95000 units. The delivery van has a 113-liter fuel tank. In the first month the inventory grows by 7%. A rival firm shipped 146 unrelated parcels the same week. The next month it shrinks by 24%, and the month after it grows by 43%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 110473.22
correctmath.algebra.system-v2conf 99% · 2.1s · $0.007 · 124 tok
question
Solve the system, then answer the derived question.

7x + 5y = -122
7x − 6y = 285

What is the value of 2x − 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: 203
correctmath.counterfactual.base-v1anchorconf 99% · 1.1s · $0.021 · 389 tok
model answer: 11236
correctmath.arith.chain-v2conf 99% · 517ms · $0.009 · 149 tok
question
Calculate the following. Show your reasoning, then answer.

(((51 × 61 − 147) × 3 + 6468) − 65 × 76) × 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: 41680
correctmath.chained.pipeline-v1conf 99% · 1.3s · $0.009 · 145 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 49 × 89.
Step 2: Q = P × 5 − 827.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 2338
correctmath.percent.chain-v2anchorconf 97% · 1.6s · $0.009 · 145 tok
model answer: 61896.52
correctmath.arith.chain-v2anchorconf 99% · 879ms · $0.007 · 115 tok
model answer: 108153
correctmath.algebra.system-v2anchorconf 100% · 695ms · $0.007 · 118 tok
model answer: 87
multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 99% · 970ms · $0.005 · 69 tok
question
A number is written in French: « sept cent soixante ». Another is written in Spanish: « ochocientos sesenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1629
correctmultilingual.numword-v2conf 96% · 1.1s · $0.004 · 50 tok
question
Compute 217 + 403, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: six cent vingt
correctmultilingual.numword-v2conf 99% · 3.1s · $0.004 · 62 tok
question
Compute 452 + 432, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos ochenta y cuatro
correctmultilingual.wordnum-v1conf 99% · 642ms · $0.006 · 93 tok
question
A number is written in French: « cent dix-neuf ». Another is written in Spanish: « ochocientos ochenta y seis ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1005
correctmultilingual.numword-v2conf 96% · 906ms · $0.004 · 56 tok
question
Compute 310 + 224, 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 trente-quatre
correctmultilingual.wordnum-v1conf 99% · 726ms · $0.005 · 68 tok
question
A number is written in French: « trois cent vingt-huit ». Another is written in Spanish: « novecientos veinticinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1253
correctmultilingual.wordnum-v1conf 99% · 1.0s · $0.005 · 76 tok
question
A number is written in French: « sept cent quatre-vingt-dix ». Another is written in Spanish: « ochocientos cuarenta y dos ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1632
correctmultilingual.wordnum-v1conf 99% · 1.1s · $0.005 · 72 tok
question
A number is written in French: « trois cent quarante-quatre ». Another is written in Spanish: « cuatrocientos sesenta 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: -118
correctmultilingual.numword-v2conf 96% · 815ms · $0.004 · 60 tok
question
Compute 301 + 454, 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 cinquante-cinq
correctmultilingual.wordnum-v1conf 99% · 1.8s · $0.005 · 69 tok
question
A number is written in French: « cinq cent cinquante-neuf ». Another is written in Spanish: « doscientos veintisiete ». 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: 786
correctmultilingual.numword-v2conf 96% · 600ms · $0.004 · 50 tok
question
Compute 364 + 148, 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 douze
correctmultilingual.wordnum-v1conf 100% · 1.1s · $0.005 · 65 tok
question
A number is written in French: « quatre cent vingt-six ». Another is written in Spanish: « 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: 500
correctmultilingual.numword-v2conf 96% · 702ms · $0.004 · 54 tok
question
Compute 229 + 302, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent trente et un
correctmultilingual.numword-v2conf 96% · 1.6s · $0.004 · 58 tok
question
Compute 61 + 395, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent cinquante-six
correctmultilingual.wordnum-v1conf 99% · 776ms · $0.005 · 77 tok
question
A number is written in French: « cinq cent quatre-vingt-sept ». Another is written in Spanish: « cuatrocientos setenta 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: 1060
correctmultilingual.numword-v2conf 96% · 697ms · $0.004 · 50 tok
question
Compute 196 + 305, 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 un
correctmultilingual.wordnum-v1conf 99% · 636ms · $0.005 · 71 tok
question
A number is written in French: « quatre cent quatre-vingt-dix ». Another is written in Spanish: « ciento treinta y siete ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 353
correctmultilingual.numword-v2conf 95% · 2.1s · $0.004 · 58 tok
question
Compute 384 + 361, 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 quarante-cinq
correctmultilingual.numword-v2conf 98% · 787ms · $0.004 · 58 tok
question
Compute 388 + 450, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos treinta y ocho
correctmultilingual.wordnum-v1conf 99% · 595ms · $0.005 · 72 tok
question
A number is written in French: « huit cent quarante et un ». Another is written in Spanish: « ciento cuarenta y cinco ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 986
correctmultilingual.wordnum-v1conf 99% · 1.7s · $0.005 · 69 tok
question
A number is written in French: « sept cent vingt-deux ». Another is written in Spanish: « ochocientos treinta 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: -117
correctmultilingual.numword-v2conf 96% · 2.1s · $0.004 · 58 tok
question
Compute 278 + 141, 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 dix-neuf
correctmultilingual.numword-v2conf 96% · 751ms · $0.004 · 58 tok
question
Compute 200 + 149, 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 quarante-neuf
correctmultilingual.wordnum-v1conf 99% · 1.6s · $0.005 · 67 tok
question
A number is written in French: « cinq cent douze ». Another is written in Spanish: « ochocientos sesenta 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: 1376
correctmultilingual.wordnum-v1conf 99% · 762ms · $0.005 · 72 tok
question
A number is written in French: « trois cent trente-neuf ». Another is written in Spanish: « doscientos ochenta 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: 620
correctmultilingual.numword-v2conf 96% · 723ms · $0.004 · 52 tok
question
Compute 409 + 241, 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 cinquante
correctmultilingual.numword-v2anchorconf 96% · 686ms · $0.004 · 64 tok
model answer: huit cent soixante-dix-neuf
correctmultilingual.wordnum-v1anchorconf 99% · 654ms · $0.005 · 71 tok
model answer: 150
correctmultilingual.wordnum-v1anchorconf 99% · 1.2s · $0.005 · 69 tok
model answer: 762
correctmultilingual.numword-v2anchorconf 98% · 575ms · $0.004 · 57 tok
model answer: seiscientos ocho
reasoning 28/30 correct
correctreasoning.deduction.order-v2conf 98% · 1.2s · $0.020 · 345 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Hana is heavier than Priya. Bruno is heavier than Jonas. Jonas is heavier than Hana. Liam is heavier than Sami. Liam is heavier than Rosa. Sami is heavier than Rosa. Jonas is heavier than Priya. Priya is heavier than Liam. Hana is heavier than Rosa. Ola is older than everyone here, but Ola is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Sami
correctreasoning.deduction.position-v1conf 99% · 807ms · $0.006 · 82 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Quinn. Quinn is number 3 in the queue. Bruno is directly ahead of Chen. 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: Chen
wrongreasoning.deduction.position-v1conf 40% · 1.2s · $0.015 · 264 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Nadir. Ola is directly ahead of Mona. Nadir is number 3 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: The fourth person (unnamed)
correctreasoning.deduction.order-v2conf 98% · 734ms · $0.024 · 434 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Dara is older than Priya. Nadir is taller than everyone here, but Nadir is not being ranked. Liam is older than Priya. Quinn is older than Liam. Dara is older than Liam. Rosa is older than Kira. Quinn is older than Chen. Chen is older than Liam. Kira is older than Quinn. Chen is older than Dara. 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: Quinn
correctreasoning.deduction.order-v2conf 98% · 573ms · $0.024 · 430 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Sami is taller than everyone here, but Sami is not being ranked. Alice is heavier than Jonas. Chen is heavier than Quinn. Chen is heavier than Alice. Alice is heavier than Quinn. Liam is heavier than Quinn. Alice is heavier than Tessa. Kira is heavier than Tessa. Jonas is heavier than Kira. Tessa is heavier than Liam. 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: Kira
correctreasoning.deduction.position-v1conf 99% · 621ms · $0.008 · 127 tok
question
Four people stand in a queue (number 1 is the front). Quinn is number 3 in the queue. Goran is directly ahead of Liam. Liam 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.position-v1conf 99% · 867ms · $0.005 · 63 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Bruno. Bruno is directly ahead of Ola. Ines is number 1 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: Jonas
correctreasoning.deduction.order-v2conf 98% · 653ms · $0.021 · 367 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Emil is faster than Priya. Ola is faster than Bruno. Nadir is heavier than everyone here, but Nadir is not being ranked. Bruno is faster than Mona. Ola is faster than Emil. Hana is faster than Priya. Hana is faster than Emil. Hana is faster than Priya. Mona is faster than Hana. Chen is faster than Ola. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Bruno
correctreasoning.deduction.order-v2conf 98% · 1.6s · $0.022 · 382 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Chen is older than Liam. Rosa is older than Liam. Rosa is older than Ola. Dara is older than Priya. Rosa is older than Liam. Priya is older than Kira. Sami is taller than everyone here, but Sami is not being ranked. Kira is older than Rosa. Ola is older than Chen. Rosa is older than Chen. 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: Rosa
correctreasoning.deduction.position-v1conf 99% · 772ms · $0.007 · 101 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Priya. Sami is directly ahead of Liam. Priya is number 3 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1conf 99% · 1.0s · $0.005 · 71 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 1 in the queue. Quinn is directly ahead of Sami. Sami is directly ahead of Rosa. 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: Quinn
correctreasoning.deduction.order-v2conf 99% · 625ms · $0.027 · 496 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Farah is older than Quinn. Nadir is older than Quinn. Liam is faster than everyone here, but Liam is not being ranked. Ola is older than Nadir. Jonas is older than Nadir. Jonas is older than Quinn. Kira is older than Ola. Hana is older than Jonas. Ola is older than Hana. Nadir is older than Farah. 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: Farah
correctreasoning.deduction.order-v2conf 95% · 2.6s · $0.024 · 429 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Tessa. Tessa is older than Nadir. Ines is taller than everyone here, but Ines is not being ranked. Jonas is older than Alice. Alice is older than Nadir. Alice is older than Tessa. Priya is older than Emil. Emil is older than Tessa. Emil is older than Jonas. Rosa is older than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
correctreasoning.deduction.position-v1conf 99% · 646ms · $0.007 · 100 tok
question
Four people stand in a queue (number 1 is the front). Liam is number 4 in the queue. Farah is directly ahead of Ola. Nadir is directly ahead of Liam. Ola is directly ahead of Nadir. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
correctreasoning.deduction.order-v2conf 98% · 615ms · $0.025 · 442 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Hana is taller than Ola. Priya is taller than Chen. Ola is taller than Sami. Kira is taller than Priya. Priya is taller than Sami. Bruno is taller than Chen. Chen is taller than Hana. Quinn is heavier than everyone here, but Quinn is not being ranked. Chen is taller than Sami. Priya is taller than Bruno. 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: Hana
correctreasoning.deduction.position-v1conf 90% · 820ms · $0.013 · 225 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Jonas. Ola is directly ahead of Emil. Mona is number 1 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: Mona
wrongreasoning.deduction.position-v1conf 40% · 1.5s · $0.018 · 336 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Ines. Farah is number 3 in the queue. Ines is directly ahead of Farah. 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: There is no fourth named person (only Jonas, Ines, Farah are given)
correctreasoning.deduction.position-v1conf 100% · 715ms · $0.009 · 136 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Chen. Priya is directly ahead of Quinn. Chen is number 4 in the queue. Quinn is directly ahead of Tessa. 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: Quinn
correctreasoning.deduction.order-v2conf 99% · 710ms · $0.019 · 325 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Bruno. Liam is heavier than Farah. Tessa is heavier than Ines. Liam is heavier than Bruno. Liam is heavier than Bruno. Alice is heavier than Hana. Hana is heavier than Tessa. Ines is heavier than Farah. Kira is faster than everyone here, but Kira is not being ranked. Ines is heavier than Liam. 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: Tessa
correctreasoning.deduction.position-v1conf 99% · 9.7s · $0.007 · 102 tok
question
Four people stand in a queue (number 1 is the front). Quinn is directly ahead of Sami. Alice is number 1 in the queue. Goran is directly ahead of Quinn. 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: Alice
correctreasoning.deduction.order-v2conf 97% · 641ms · $0.021 · 380 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Sami is older than Nadir. Mona is older than Ola. Ines is older than Mona. Ines is older than Ola. Ola is older than Dara. Mona is older than Dara. Mona is older than Sami. Priya is older than Ola. Quinn is heavier than everyone here, but Quinn is not being ranked. Nadir is older than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Nadir
correctreasoning.deduction.position-v1conf 99% · 2.2s · $0.005 · 69 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Sami. Sami is number 3 in the queue. Liam is directly ahead of Chen. 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 98% · 657ms · $0.025 · 458 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Alice. Kira is older than Hana. Farah is older than Kira. Liam is older than Ines. Liam is older than Alice. Ines is older than Alice. Hana is older than Alice. Goran is taller than everyone here, but Goran is not being ranked. Hana is older than Liam. Bruno is older than Farah. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
correctreasoning.deduction.position-v1conf 99% · 1.1s · $0.007 · 108 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Jonas. Kira is directly ahead of Chen. Chen 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: Jonas
correctreasoning.deduction.order-v2conf 99% · 587ms · $0.022 · 385 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Chen. Goran is heavier than Rosa. Jonas is taller than everyone here, but Jonas is not being ranked. Quinn is heavier than Emil. Kira is heavier than Hana. Chen is heavier than Rosa. Goran is heavier than Quinn. Quinn is heavier than Chen. Hana is heavier than Quinn. Hana is heavier than Goran. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
correctreasoning.deduction.order-v2conf 99% · 864ms · $0.018 · 315 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Kira is older than Farah. Bruno is older than Farah. Jonas is older than Bruno. Tessa is heavier than everyone here, but Tessa is not being ranked. Priya is older than Jonas. Mona is older than Priya. Farah is older than Ola. Jonas is older than Kira. Mona is older than Farah. Bruno is older than Kira. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Priya
correctreasoning.deduction.position-v1anchorconf 99% · 1.1s · $0.005 · 77 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 99% · 630ms · $0.020 · 337 tok
model answer: Quinn
correctreasoning.deduction.order-v2anchorconf 99% · 684ms · $0.022 · 394 tok
model answer: Mona
correctreasoning.deduction.position-v1anchorconf 98% · 623ms · $0.006 · 97 tok
model answer: Farah
terminal 30/30 correct
correctterminal.fs.tree-v1conf 99% · 729ms · $0.038 · 678 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/build`):

```
/proj/conf/main.cfg
/proj/conf/report.log
/proj/draft.log
/proj/index.cfg
/proj/src/notes.md
```

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

```sh
rm src/notes.md
touch report-3.cfg
cd src
touch ../../proj/report-7.log
touch ../../proj/conf/setup-2.md
cp ../../proj/draft.log ../../proj/conf/
cp ../../proj/report-7.log ../../proj/build/
rm ../../proj/conf/report.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/report-7.log /proj/conf/draft.log /proj/conf/main.cfg /proj/conf/setup-2.md /proj/draft.log /proj/index.cfg /proj/report-3.cfg /proj/report-7.log
correctterminal.exit.chain-v1conf 99% · 742ms · $0.011 · 142 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C E Z exit:0
correctterminal.fs.tree-v1conf 98% · 1.1s · $0.039 · 688 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/assets`, `/proj/conf`):

```
/proj/assets/index.log
/proj/assets/report.txt
/proj/assets/setup.txt
/proj/main.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
touch logs/report-9.md
mv main.log logs/
cp todo.md conf/
cd logs
touch setup-8.cfg
mkdir -p ../../proj/conf/conf-9
cd ../../proj/assets
cp setup.txt ../../proj/
cd ../../proj
mkdir -p conf/conf-9/docs-2
cd logs
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/index.log /proj/assets/report.txt /proj/assets/setup.txt /proj/conf/todo.md /proj/logs/main.log /proj/logs/report-9.md /proj/logs/setup-8.cfg /proj/setup.txt /proj/todo.md
correctterminal.pipeline.predict-v1conf 99% · 1.0s · $0.006 · 53 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,hr,81,53
gus,ops,28,92
oli,eng,68,50
cy,ops,42,83
lou,ops,11,12
eli,eng,59,95
ivy,hr,35,80
kim,eng,59,80
dev,sales,25,70
jon,legal,14,91
hal,ops,92,58
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: jon,legal,14,91
correctterminal.exit.chain-v1conf 98% · 1.0s · $0.011 · 157 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q dune notes.txt && echo A || echo B
false && echo C || echo D
grep -q coral notes.txt && 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.pipeline.predict-v1conf 99% · 1.4s · $0.007 · 75 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,legal,14,25
ned,eng,58,64
jon,ops,47,16
hal,eng,7,17
max,ops,101,95
gus,sales,96,58
ivy,hr,17,85
lou,eng,86,86
eli,sales,61,52
oli,eng,71,90
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 49 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.fs.tree-v1conf 96% · 882ms · $0.037 · 656 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/src`):

```
/proj/docs/setup.md
/proj/index.txt
/proj/main.log
/proj/src/draft.md
/proj/src/report.md
```

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

```sh
mkdir -p build-7
mv docs/setup.md docs/report-2.log
cd logs
mv ../../proj/main.log ../../proj/src/
mv ../../proj/docs/report-2.log ../../proj/docs/notes-8.log
touch ../../proj/main-9.cfg
mv ../../proj/src/main.log ../../proj/src/notes-7.md
cd .
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/docs/notes-8.log /proj/index.txt /proj/main-9.cfg /proj/src/draft.md /proj/src/notes-7.md /proj/src/report.md
correctterminal.exit.chain-v1conf 99% · 788ms · $0.013 · 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: amber, dune (one per line). No other files exist.

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F G exit:1
correctterminal.pipeline.predict-v1conf 99% · 901ms · $0.007 · 75 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,legal,112,13
eli,eng,116,97
ana,legal,68,36
jon,eng,82,45
lou,hr,20,95
bo,sales,98,59
oli,ops,89,93
kim,eng,60,51
max,eng,40,89
pam,hr,62,35
ned,eng,41,93
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 56 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.fs.tree-v1conf 98% · 654ms · $0.043 · 773 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/src`):

```
/proj/docs/main.log
/proj/docs/setup.cfg
/proj/logs/draft.log
/proj/notes.txt
/proj/todo.md
```

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

```sh
cp notes.txt logs/
touch src/setup-1.txt
cp docs/main.log ./
cd .
rm main.log
mkdir -p src/src-3
touch src/src-3/report-8.txt
rm logs/draft.log
cd src
touch ../../proj/docs/setup-4.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/docs/main.log /proj/docs/setup-4.cfg /proj/docs/setup.cfg /proj/logs/notes.txt /proj/notes.txt /proj/src/setup-1.txt /proj/src/src-3/report-8.txt /proj/todo.md
correctterminal.exit.chain-v1conf 99% · 780ms · $0.005 · 31 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E Z exit:0
correctterminal.pipeline.predict-v1conf 99% · 761ms · $0.007 · 63 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,eng,116,95
max,hr,15,65
kim,hr,119,30
oli,hr,112,52
ned,legal,88,91
bo,ops,55,23
gus,legal,70,10
dev,ops,87,51
hal,sales,103,12
ivy,sales,43,84
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,116
correctterminal.fs.tree-v1conf 96% · 801ms · $0.041 · 725 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/src`):

```
/proj/assets/index.cfg
/proj/assets/main.txt
/proj/build/report.log
/proj/setup.txt
/proj/todo.md
```

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

```sh
mkdir -p logs-6
rm assets/index.cfg
mkdir -p logs-6/build-6
cd logs-6/build-6
mv ../../../proj/todo.md ../../../proj/
touch ../../../proj/logs-6/report-3.log
mv ../../../proj/assets/main.txt ../../../proj/assets/main-4.txt
mv ../../../proj/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/assets/main-4.txt /proj/build/report.log /proj/build/todo.md /proj/logs-6/report-3.log /proj/setup.txt
correctterminal.exit.chain-v1conf 99% · 1.2s · $0.005 · 33 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B C F G Z exit:0
correctterminal.pipeline.predict-v1conf 99% · 1.4s · $0.012 · 180 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,hr,70,98
eli,ops,54,97
dev,legal,57,20
oli,hr,87,43
ana,legal,7,98
kim,hr,44,78
jon,legal,33,43
fay,hr,109,35
ivy,legal,118,23
lou,ops,64,16
```

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: ana,7 dev,57 ivy,118
correctterminal.fs.tree-v1conf 99% · 742ms · $0.034 · 605 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/build`):

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

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

```sh
mv build/draft.cfg build/report-2.cfg
cp notes.md logs/
rm report.log
cd .
touch build/index-3.md
cp build/index-3.md ./
cd .
touch logs/index-6.log
cd build
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/index-3.md /proj/build/report-2.cfg /proj/conf/index.log /proj/conf/util.md /proj/index-3.md /proj/logs/index-6.log /proj/logs/notes.md /proj/notes.md
correctterminal.exit.chain-v1conf 98% · 589ms · $0.010 · 132 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E exit:1
correctterminal.fs.tree-v1conf 96% · 741ms · $0.048 · 859 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/src`, `/proj/build`):

```
/proj/build/util.log
/proj/draft.log
/proj/logs/index.txt
/proj/main.cfg
/proj/src/notes.log
```

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

```sh
mv build/util.log build/setup-1.cfg
cd build
cp setup-1.cfg ../../proj/src/
cd ../../proj/src
touch ../../proj/logs/notes-4.md
mv ../../proj/logs/notes-4.md ../../proj/logs/
mkdir -p ../../proj/logs/conf-6
cp notes.log ../../proj/
cd .
mv ../../proj/main.cfg ../../proj/util-5.txt
cd ../../proj
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/setup-1.cfg /proj/draft.log /proj/logs/index.txt /proj/logs/notes-4.md /proj/notes.log /proj/src/notes.log /proj/src/setup-1.cfg /proj/util-5.txt
correctterminal.pipeline.predict-v1conf 99% · 527ms · $0.008 · 90 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
eli,sales,7,11
cy,eng,100,62
kim,hr,25,80
lou,ops,20,80
bo,legal,92,93
max,eng,91,40
gus,ops,22,20
oli,ops,42,48
ivy,ops,101,51
hal,hr,89,97
dev,ops,7,65
```

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: 2
correctterminal.exit.chain-v1conf 98% · 546ms · $0.005 · 30 tok
question
A POSIX shell session in a directory containing ONLY these files:

```
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 ghost.txt && echo A || echo B
test -f tmp.txt && echo C || echo D
grep -q dune notes.txt && 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: B D E H exit:1
correctterminal.pipeline.predict-v1conf 99% · 1.6s · $0.010 · 133 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,sales,36,31
dev,hr,93,13
bo,legal,31,71
max,sales,96,11
pam,ops,29,91
jon,legal,56,59
ned,hr,40,46
oli,sales,105,92
ana,eng,4,15
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: lou,36 max,96 oli,105
correctterminal.fs.tree-v1conf 98% · 737ms · $0.051 · 941 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/docs`):

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

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

```sh
cp docs/report.log logs/
cd .
cp docs/report.log logs/
cp draft.log logs/
rm main.cfg
touch logs/report-6.log
cd .
cp logs/report.log ./
cp draft.log build/
cd build
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/draft.log /proj/docs/notes.cfg /proj/docs/report.log /proj/draft.log /proj/logs/draft.log /proj/logs/report-6.log /proj/logs/report.log /proj/logs/todo.txt /proj/report.log
correctterminal.exit.chain-v1conf 99% · 923ms · $0.010 · 137 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D E Z exit:0
correctterminal.pipeline.predict-v1conf 99% · 892ms · $0.007 · 63 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,eng,45,50
oli,sales,50,74
gus,legal,57,17
dev,ops,87,80
bo,legal,103,87
kim,eng,37,30
jon,hr,51,30
cy,legal,101,29
max,ops,96,86
ned,legal,63,20
pam,hr,89,66
lou,eng,25,62
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 324
correctterminal.fs.tree-v1conf 98% · 1.2s · $0.048 · 859 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/logs`, `/proj/src`):

```
/proj/docs/draft.log
/proj/docs/report.txt
/proj/notes.txt
/proj/src/main.log
/proj/util.cfg
```

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

```sh
touch src/notes-1.log
mkdir -p src-3
cd logs
rm ../../proj/docs/draft.log
mv ../../proj/notes.txt ../../proj/
mkdir -p ../../proj/src/src-9
mv ../../proj/util.cfg ../../proj/src/src-9/
cp ../../proj/docs/report.txt ../../proj/src/
cp ../../proj/src/src-9/util.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/docs/report.txt /proj/logs/util.cfg /proj/notes.txt /proj/src/main.log /proj/src/notes-1.log /proj/src/report.txt /proj/src/src-9/util.cfg
correctterminal.exit.chain-v1conf 99% · 726ms · $0.013 · 183 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
test -f app.txt && echo A || echo B
true && echo C || echo D
false && 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: A C F H Z exit:0
correctterminal.pipeline.predict-v1anchorconf 99% · 816ms · $0.013 · 197 tok
model answer: eli,eng,60,55 dev,eng,81,95 cy,eng,115,45
correctterminal.exit.chain-v1anchorconf 99% · 1.2s · $0.015 · 219 tok
model answer: B D E G exit:1
correctterminal.fs.tree-v1anchorconf 99% · 887ms · $0.038 · 683 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 99% · 887ms · $0.008 · 88 tok
model answer: 1
vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 99% · 1.4s · $0.011 · 22 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: 89
correctvision.ocr.code-hunt-v1conf 99% · 1.2s · $0.011 · 28 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: MH9PAEWA
correctvision.ocr.table-read-v1conf 99% · 1.4s · $0.012 · 52 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: 133
correctvision.ocr.code-hunt-v1conf 98% · 3.9s · $0.010 · 27 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: 3TV4F9
correctvision.ocr.code-hunt-v1conf 98% · 1.5s · $0.010 · 26 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: TTXAAX
correctvision.ocr.table-read-v1conf 99% · 2.5s · $0.012 · 47 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: 151
correctvision.ocr.code-hunt-v1conf 99% · 7.3s · $0.010 · 25 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: WER9TP
correctvision.ocr.table-read-v1conf 99% · 2.1s · $0.012 · 41 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: 36
correctvision.ocr.code-hunt-v1conf 98% · 1.3s · $0.011 · 28 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: H9JD9NFN
correctvision.ocr.table-read-v1conf 99% · 2.9s · $0.011 · 36 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: 210
correctvision.ocr.table-read-v1conf 99% · 1.1s · $0.012 · 54 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: 38
correctvision.ocr.code-hunt-v1conf 99% · 1.3s · $0.011 · 28 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CVPNEAXX
correctvision.ocr.table-read-v1conf 99% · 1.4s · $0.012 · 48 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: 80
correctvision.ocr.code-hunt-v1conf 96% · 1.4s · $0.011 · 28 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: VUVWDRDE
correctvision.ocr.table-read-v1conf 99% · 1.3s · $0.011 · 22 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: 85
correctvision.ocr.table-read-v1conf 99% · 3.1s · $0.012 · 45 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: 229
correctvision.ocr.code-hunt-v1conf 99% · 1.3s · $0.010 · 27 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: RJNXPJ
correctvision.ocr.code-hunt-v1conf 99% · 1.5s · $0.010 · 24 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: A443NE
correctvision.ocr.table-read-v1conf 98% · 1.4s · $0.012 · 40 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: 51
correctvision.ocr.code-hunt-v1conf 99% · 2.1s · $0.010 · 26 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: MUP9CW
correctvision.ocr.code-hunt-v1conf 98% · 2.8s · $0.011 · 28 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in GREEN. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CKJX9FV9
correctvision.ocr.table-read-v1conf 99% · 1.3s · $0.011 · 22 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: 95
correctvision.ocr.table-read-v1conf 99% · 1.6s · $0.012 · 42 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: 12
correctvision.ocr.code-hunt-v1conf 99% · 1.1s · $0.010 · 26 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: T9EVUP
correctvision.ocr.code-hunt-v1conf 99% · 2.6s · $0.010 · 27 tok
question
The image contains several printed codes in different colors, with noise. Transcribe EXACTLY the code printed in RED. It uses only digits and uppercase letters.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FF4AUFH
correctvision.ocr.table-read-v1conf 99% · 1.4s · $0.012 · 51 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: 144
correctvision.ocr.table-read-v1anchorconf 99% · 1.6s · $0.011 · 39 tok
model answer: 15
correctvision.ocr.code-hunt-v1anchorconf 90% · 4.9s · $0.011 · 28 tok
model answer: YH9E4AWP
correctvision.ocr.code-hunt-v1anchorconf 99% · 2.2s · $0.010 · 25 tok
model answer: VX7993D
correctvision.ocr.table-read-v1anchorconf 98% · 2.9s · $0.012 · 40 tok
model answer: 25

Run history

  • 2026-08-05v0.2.0index_fit811
  • 2026-08-05v0.2.0index_fit811
  • 2026-08-05v0.2.0index_fit813
  • 2026-08-05v0.2.0index_fit813
  • 2026-08-05v0.2.0index_fit813
  • 2026-08-05v0.2.0index_fit813
  • 2026-08-05v0.2.0index_fit813
  • 2026-08-05v0.2.0index_fit813
  • 2026-08-05v0.2.0index_fit813
  • 2026-08-05v0.2.0index_fit813
  • 2026-08-05v0.2.0index_fit800
  • 2026-08-05v0.2.0index_fit800
  • 2026-08-05v0.2.0index_fit801
  • 2026-08-05v0.2.0index_fit800
  • 2026-08-05v0.2.0index_fit800
  • 2026-08-05v0.2.0index_fit801
  • 2026-08-05v0.2.0index_fit801
  • 2026-08-05v0.2.0index_fit797
  • 2026-08-05v0.2.0index_fit798
  • 2026-08-05v0.2.0index_fit801