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OpenAI: GPT-5.6 Luna Pro
openai/gpt-5.6-luna-pro · openai · context 1 050 000 · in $0.100/1M · out $0.600/1M
Global Index
812
95% CI [765–859] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 833 [737–929] | 0.813 | 0.85 | 0.97 | 0.038 | 426ms | $1.28 | |
| code | 873 [752–994] | 0.792 | 0.98 | 1.00 | 0.000 | 395ms | $0.782 | |
| instruction following | 780 [644–915] | 0.728 | 0.83 | 0.97 | 0.038 | 380ms | $0.819 | |
| knowledge | 725 [554–897] | 0.542 | 1.00 | 1.00 | 0.000 | 372ms | $0.304 | |
| math | 831 [674–989] | 0.723 | 0.98 | 1.00 | 0.000 | 386ms | $0.535 | |
| multilingual | 819 [654–983] | 0.698 | 1.00 | 1.00 | 0.000 | 423ms | $0.384 | |
| reasoning | 793 [647–938] | 0.712 | 0.98 | 0.97 | 0.038 | 427ms | $0.516 | |
| terminal | 907 [819–995] | 0.849 | 0.98 | 1.00 | 0.000 | 397ms | $0.757 | |
| vision ocr | 746 [575–918] | 0.587 | 0.97 | 0.99 | 0.000 | 450ms | $0.641 |
Every answer, every test
Full transparency: the model's latest graded answer on every instantiated item of the current index version. Answer keys never leave the server; anchor-item prompts are withheld to protect the longitudinal subset.
agentic 29/30 correct
correctagentic.tools.ledger-v1conf 100% · 806ms · $0.001 · 822 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: $591
- echo: $804
- tango: $841
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $374 from "kilo" to "echo"
2. pay $528 from "kilo" to "echo"
3. pay $418 from "kilo" to "echo"
4. pay $173 from "tango" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":374}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":311}},
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":528}},
{"tool":"top_up_from_reserve","args":{"account":"kilo","amount":418}},
{"tool":"transfer","args":{"from":"kilo","to":"echo","amount":418}},
{"tool":"transfer","args":{"from":"tango","to":"echo","amount":173}}
]correctagentic.tools.triage-v1conf 100% · 426ms · $0.001 · 1201 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → novak
- payments → chen
- infra → dubois
INCIDENTS:
1. "dashboard shows stale numbers" (category: data, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 9)
3. "uploads failing intermittently" (category: infra, priority 4)
4. "records missing after import" (category: data, priority 2)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "dashboard shows stale numbers",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-4",
"agent": "novak"
}
}
]correctagentic.tools.context-load-v1conf 100% · 535ms · $0.002 · 894 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 (152 records, format: id|customer|region|item|qty|status):
```
1796|acme|north|gasket|20|paid
1337|dorian|east|frame|90|paid
1736|ember|west|sensor|87|paid
1558|ember|west|pump|76|paid
1675|ionic|east|frame|80|held
1709|juno|west|panel|63|shipped
1631|juno|north|gasket|82|paid
1410|fulton|south|sensor|88|shipped
1366|ionic|north|frame|36|paid
1416|dorian|north|cable|61|paid
1511|dorian|south|cable|20|paid
1325|acme|east|frame|19|paid
1342|acme|west|pump|42|pending
1301|ember|east|panel|61|paid
1505|juno|south|rotor|61|paid
1760|fulton|east|frame|42|held
1308|harbor|north|gasket|79|pending
1476|juno|east|frame|31|pending
1566|ember|east|valve|21|held
1309|harbor|west|frame|23|paid
1786|birch|south|panel|14|held
1193|dorian|south|gasket|97|shipped
1259|ember|east|sensor|94|shipped
1378|ionic|east|panel|31|shipped
1801|gale|west|cable|95|paid
1741|harbor|east|gasket|41|held
1268|birch|west|panel|15|shipped
1792|cobalt|north|cable|12|held
1188|dorian|north|cable|59|pending
1465|cobalt|north|frame|40|paid
1689|ember|south|rotor|73|shipped
1348|harbor|south|valve|99|pending
1370|fulton|west|sensor|84|paid
1542|gale|east|sensor|50|held
1355|ember|south|panel|49|paid
1790|juno|east|pump|22|pending
1613|dorian|east|gasket|66|shipped
1787|acme|west|valve|37|held
1492|ionic|east|gasket|66|shipped
1498|cobalt|south|panel|44|shipped
1597|acme|south|valve|26|shipped
1767|acme|south|gasket|77|paid
1576|fulton|east|frame|86|shipped
1414|ionic|north|panel|25|shipped
1346|cobalt|north|rotor|27|shipped
1426|ember|west|rotor|99|pending
1482|juno|west|sensor|25|shipped
1671|fulton|north|pump|50|pending
1252|ionic|west|sensor|23|paid
1654|fulton|south|rotor|87|paid
1578|fulton|south|frame|55|shipped
1300|ionic|north|rotor|61|pending
1214|dorian|south|panel|81|shipped
1246|dorian|west|panel|22|pending
1305|harbor|east|valve|51|pending
1404|acme|south|gasket|29|shipped
1583|juno|east|frame|15|shipped
1650|harbor|east|rotor|77|held
1556|acme|south|sensor|91|shipped
1572|gale|north|gasket|98|held
1523|ionic|north|rotor|74|held
1575|cobalt|east|frame|32|shipped
1423|ionic|north|frame|26|shipped
1702|ionic|south|pump|57|shipped
1715|cobalt|south|gasket|19|pending
1341|harbor|east|frame|26|shipped
1483|gale|east|frame|98|paid
1753|ember|east|pump|64|pending
1491|juno|east|panel|75|shipped
1803|ember|north|gasket|16|held
1436|acme|east|pump|57|shipped
1330|gale|east|gasket|13|shipped
1722|ember|north|panel|76|held
1603|birch|west|sensor|50|shipped
1644|birch|north|panel|17|pending
1327|birch|north|panel|71|shipped
1663|ionic|east|pump|96|paid
1361|gale|east|valve|74|shipped
1302|harbor|south|cable|37|paid
1565|fulton|north|cable|26|pending
1748|harbor|south|sensor|91|paid
1377|ionic|west|frame|40|paid
1310|birch|east|frame|72|paid
1549|ember|south|pump|94|paid
1412|acme|south|pump|41|paid
1224|dorian|east|cable|81|pending
1388|dorian|south|gasket|39|held
1696|ember|west|frame|21|paid
1516|gale|north|sensor|57|shipped
1547|acme|east|gasket|73|shipped
1314|harbor|west|panel|44|paid
1509|gale|east|panel|59|paid
1236|dorian|west|panel|24|pending
1229|dorian|south|frame|59|pending
1392|dorian|north|frame|65|shipped
1451|fulton|east|valve|21|paid
1207|dorian|east|sensor|47|pending
1319|ionic|east|valve|36|held
1281|juno|south|panel|32|paid
1588|acme|west|valve|13|held
1744|ionic|east|gasket|54|pending
1433|ionic|south|panel|33|held
1682|gale|east|rotor|51|held
1726|juno|north|gasket|86|paid
1659|ionic|west|pump|77|pending
1277|cobalt|west|rotor|76|shipped
1429|acme|south|valve|98|held
1647|juno|west|panel|39|pending
1472|cobalt|north|cable|88|shipped
1400|birch|east|sensor|36|held
1620|juno|west|frame|30|paid
1243|dorian|south|frame|68|shipped
1493|birch|north|frame|30|paid
1533|dorian|north|panel|10|pending
1745|dorian|north|rotor|57|pending
1785|juno|north|valve|58|held
1670|fulton|north|rotor|67|held
1187|dorian|south|gasket|16|pending
1381|harbor|south|cable|23|pending
1778|dorian|west|rotor|83|paid
1294|dorian|west|cable|84|paid
1456|birch|north|sensor|19|pending
1535|cobalt|south|valve|56|held
1270|dorian|north|sensor|78|paid
1611|juno|south|valve|27|held
1527|cobalt|south|frame|46|paid
1262|ember|west|pump|20|shipped
1638|ember|north|panel|78|paid
1713|ember|south|rotor|31|paid
1217|dorian|south|sensor|33|pending
1447|juno|south|valve|19|pending
1489|ember|east|frame|10|pending
1625|acme|south|panel|95|shipped
1608|birch|east|sensor|60|held
1592|birch|north|panel|53|held
1460|harbor|south|pump|27|paid
1358|ember|north|panel|54|shipped
1502|dorian|west|sensor|88|paid
1225|dorian|south|cable|13|held
1486|birch|north|panel|56|held
1810|ionic|south|rotor|64|held
1396|ember|west|rotor|37|held
1379|cobalt|west|frame|83|paid
1362|gale|west|valve|91|shipped
1288|harbor|east|gasket|75|held
1397|ionic|north|rotor|27|paid
1200|dorian|south|rotor|66|pending
1255|juno|west|sensor|32|paid
1729|birch|west|gasket|74|paid
1772|gale|south|pump|72|shipped
1339|dorian|north|pump|76|shipped
1441|birch|north|frame|86|paid
```
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 > 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":1187}},
{"tool":"restock","args":{"item":"rotor","qty":66}},
{"tool":"cancel_order","args":{"order_id":1217}},
{"tool":"cancel_order","args":{"order_id":1229}}
]correctagentic.tools.deploy-v1conf 100% · 474ms · $0.001 · 645 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: reports
- reports: (none)
- search: gateway, reports
- auth-svc: gateway, search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "search" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"health_check","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"auth-svc"}}
]correctagentic.tools.ledger-v1conf 100% · 2.4s · $0.001 · 959 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: $375
- lima: $586
- alpha: $494
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $418 from "delta" to "lima"
2. pay $258 from "alpha" to "delta"
3. pay $268 from "lima" to "delta"
4. pay $375 from "delta" to "lima"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"top_up_from_reserve","args":{"account":"delta","amount":43}},
{"tool":"transfer","args":{"from":"delta","to":"lima","amount":418}},
{"tool":"transfer","args":{"from":"alpha","to":"delta","amount":258}},
{"tool":"transfer","args":{"from":"lima","to":"delta","amount":268}},
{"tool":"transfer","args":{"from":"delta","to":"lima","amount":375}}
]wrongagentic.tools.triage-v1conf 100% · 686ms · $0.001 · 1416 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
- infra → silva
- payments → tanaka
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "uploads failing intermittently" (category: infra, priority 9)
3. "SSO loop on login" (category: auth, priority 3)
4. "SSO loop on login" (category: auth, 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":"SSO loop on login","priority":3}},
{"tool":"assign","args":{"ticket_id":"TCK-1","agent":"dubois"}},
{"tool":"create_ticket","args":{"title":"uploads failing intermittently","priority":9}},
{"tool":"escalate","args":{"ticket_id":"TCK-2"}},
{"tool":"assign","args":{"ticket_id":"TCK-2","agent":"silva"}},
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":3}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-3","resolution":"duplicate of TCK-1"}},
{"tool":"create_ticket","args":{"title":"SSO loop on login","priority":5}},
{"tool":"close_ticket","args":{"ticket_id":"TCK-4","resolution":"duplicate of TCK-1"}}
]correctagentic.tools.context-load-v1conf 100% · 887ms · $0.002 · 1246 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 (179 records, format: id|customer|region|item|qty|status):
```
1709|dorian|north|cable|47|held
1540|ionic|east|rotor|65|paid
1630|acme|east|gasket|36|paid
1562|gale|west|pump|15|pending
1380|ionic|east|sensor|34|pending
1890|ionic|south|pump|32|paid
1781|fulton|east|valve|99|shipped
1803|gale|east|sensor|30|shipped
1841|ember|west|rotor|95|held
1365|acme|east|valve|10|pending
1243|ionic|east|valve|68|pending
1527|fulton|east|sensor|36|shipped
1775|fulton|east|frame|66|pending
1276|cobalt|north|pump|22|paid
1673|harbor|north|sensor|96|pending
1269|acme|south|frame|81|shipped
1763|ionic|south|gasket|81|held
1823|gale|east|gasket|31|shipped
1311|birch|west|sensor|92|shipped
1414|juno|east|sensor|58|paid
1751|gale|east|frame|20|pending
1733|fulton|south|valve|87|paid
1209|ionic|west|panel|73|pending
1464|harbor|north|sensor|91|held
1339|ember|north|pump|33|pending
1255|ionic|east|valve|61|pending
1649|ionic|south|valve|92|pending
1536|cobalt|west|rotor|88|held
1887|juno|north|frame|85|shipped
1570|fulton|south|panel|48|paid
1349|fulton|north|sensor|86|paid
1235|ionic|west|rotor|62|held
1314|juno|south|gasket|45|paid
1432|ember|east|sensor|26|pending
1889|birch|east|rotor|44|paid
1482|ionic|north|panel|57|held
1300|fulton|west|frame|56|held
1402|dorian|south|sensor|36|held
1283|acme|east|gasket|60|pending
1656|birch|north|gasket|19|shipped
1642|gale|west|frame|98|held
1845|ionic|west|rotor|48|paid
1529|harbor|north|panel|50|paid
1288|fulton|east|rotor|52|paid
1831|harbor|north|rotor|70|shipped
1548|ember|south|rotor|56|shipped
1500|juno|east|cable|84|held
1797|fulton|east|cable|15|paid
1866|acme|north|sensor|17|pending
1440|acme|south|frame|93|held
1578|harbor|west|valve|28|shipped
1591|ember|south|panel|85|pending
1489|acme|east|pump|88|shipped
1623|gale|east|frame|92|held
1661|harbor|south|rotor|41|pending
1554|ionic|west|frame|98|paid
1512|ember|west|gasket|32|shipped
1756|cobalt|north|rotor|12|held
1898|acme|south|pump|24|paid
1577|gale|east|cable|97|pending
1214|ionic|south|pump|69|pending
1307|cobalt|east|pump|43|paid
1690|harbor|south|panel|79|pending
1930|fulton|south|pump|45|shipped
1561|ember|north|pump|19|pending
1546|birch|north|sensor|32|held
1568|fulton|north|pump|59|pending
1604|fulton|east|frame|46|pending
1683|dorian|south|panel|57|shipped
1722|cobalt|west|panel|64|pending
1515|acme|east|frame|99|paid
1597|cobalt|south|sensor|38|paid
1727|ionic|south|rotor|22|shipped
1745|ember|east|sensor|70|held
1538|cobalt|north|panel|32|paid
1293|fulton|west|valve|88|held
1393|juno|south|panel|54|pending
1428|gale|north|pump|23|shipped
1917|ember|west|gasket|60|shipped
1666|birch|east|panel|82|shipped
1522|birch|west|cable|12|held
1923|gale|west|gasket|33|paid
1228|ionic|east|cable|87|pending
1494|gale|west|cable|14|shipped
1403|birch|south|panel|86|held
1535|fulton|north|valve|40|held
1399|gale|north|sensor|58|pending
1407|dorian|west|frame|48|shipped
1873|gale|north|cable|44|shipped
1454|acme|south|sensor|55|held
1476|acme|south|panel|47|held
1588|gale|north|valve|49|paid
1404|cobalt|north|sensor|44|pending
1786|juno|east|valve|30|paid
1356|harbor|south|panel|48|paid
1680|ionic|north|sensor|87|shipped
1447|harbor|east|rotor|89|held
1822|juno|south|valve|38|pending
1520|cobalt|west|pump|43|shipped
1735|acme|north|gasket|80|paid
1851|fulton|west|sensor|70|pending
1329|dorian|east|cable|11|paid
1896|ionic|west|valve|12|held
1641|acme|west|sensor|89|paid
1401|acme|north|frame|53|held
1237|ionic|west|rotor|23|pending
1903|dorian|west|cable|26|pending
1485|dorian|south|panel|76|paid
1818|cobalt|south|gasket|33|paid
1694|ionic|west|sensor|17|paid
1616|juno|west|panel|88|shipped
1790|harbor|east|sensor|95|shipped
1857|harbor|north|pump|93|held
1836|ionic|east|gasket|57|held
1713|ember|north|pump|76|pending
1437|harbor|west|cable|43|shipped
1303|gale|east|sensor|17|pending
1342|harbor|east|rotor|31|held
1449|dorian|east|rotor|61|shipped
1250|ionic|west|valve|32|shipped
1880|cobalt|west|gasket|51|held
1784|juno|north|cable|82|held
1611|juno|east|pump|68|pending
1828|cobalt|south|cable|23|paid
1416|acme|south|rotor|10|held
1741|juno|north|gasket|82|pending
1808|gale|east|panel|60|shipped
1916|gale|east|valve|30|pending
1357|acme|north|cable|28|shipped
1719|dorian|west|rotor|20|pending
1932|ember|south|cable|52|shipped
1334|ember|north|frame|78|shipped
1913|dorian|north|frame|51|held
1640|juno|south|valve|28|paid
1326|fulton|east|cable|36|held
1768|birch|east|valve|57|held
1368|cobalt|east|gasket|84|shipped
1421|cobalt|west|frame|74|shipped
1280|acme|east|valve|95|pending
1864|gale|south|cable|18|pending
1217|ionic|west|gasket|28|paid
1503|birch|west|panel|59|paid
1321|cobalt|west|frame|13|shipped
1487|birch|west|frame|39|shipped
1909|acme|south|valve|25|held
1460|ember|north|sensor|70|paid
1408|ionic|west|cable|23|held
1282|acme|east|valve|82|shipped
1813|cobalt|west|cable|36|held
1565|gale|north|rotor|55|held
1621|birch|south|pump|65|paid
1921|juno|west|rotor|61|held
1910|ionic|north|frame|90|shipped
1585|dorian|east|gasket|90|held
1718|fulton|south|frame|13|paid
1701|cobalt|east|pump|14|pending
1618|gale|east|gasket|18|held
1703|birch|east|valve|46|paid
1389|cobalt|north|gasket|17|held
1252|ionic|west|rotor|96|pending
1637|juno|north|rotor|92|shipped
1545|birch|east|sensor|91|paid
1507|ember|south|gasket|42|pending
1221|ionic|west|valve|49|pending
1517|ionic|west|gasket|90|paid
1439|juno|north|rotor|66|paid
1386|gale|west|cable|50|paid
1364|cobalt|east|valve|47|paid
1893|juno|north|pump|88|held
1938|fulton|north|pump|36|pending
1740|dorian|north|frame|88|held
1865|harbor|west|pump|21|shipped
1423|dorian|east|cable|76|shipped
1547|gale|west|cable|38|paid
1470|ionic|south|rotor|37|shipped
1262|ionic|west|sensor|50|held
1374|harbor|west|sensor|91|held
1558|gale|south|valve|30|paid
1506|dorian|west|rotor|48|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 48, 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":"panel","qty":73}},
{"tool":"restock","args":{"item":"valve","qty":49}},
{"tool":"cancel_order","args":{"order_id":1237}},
{"tool":"restock","args":{"item":"rotor","qty":96}}
]correctagentic.tools.deploy-v1conf 100% · 331ms · $0.001 · 636 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: (none)
- notifier: auth-svc
- auth-svc: billing
- gateway: auth-svc
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"notifier"}}
]correctagentic.tools.ledger-v1conf 100% · 376ms · $0.001 · 1050 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- oscar: $508
- lima: $603
- alpha: $467
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $360 from "alpha" to "lima"
2. pay $412 from "oscar" to "lima"
3. pay $198 from "oscar" to "lima"
4. pay $176 from "lima" to "alpha"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "transfer",
"args": {
"from": "alpha",
"to": "lima",
"amount": 360
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "lima",
"amount": 412
}
},
{
"tool": "top_up_from_reserve",
"args": {
"account": "oscar",
"amount": 102
}
},
{
"tool": "transfer",
"args": {
"from": "oscar",
"to": "lima",
"amount": 198
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "alpha",
"amount": 176
}
}
]correctagentic.tools.context-load-v1conf 99% · 287ms · $0.003 · 1783 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 (189 records, format: id|customer|region|item|qty|status):
```
1530|ionic|east|rotor|15|shipped
2169|birch|east|panel|93|paid
1859|ionic|east|valve|13|pending
1920|juno|north|valve|38|held
1540|fulton|east|frame|24|held
2131|dorian|east|pump|78|pending
1909|dorian|east|pump|23|shipped
1466|ember|west|rotor|41|pending
1679|birch|west|sensor|98|paid
2072|juno|south|valve|31|held
1714|gale|east|gasket|72|shipped
2185|gale|north|panel|73|shipped
1822|acme|north|valve|12|paid
1562|gale|west|gasket|52|shipped
1742|fulton|north|cable|52|held
1863|acme|north|panel|88|held
1944|harbor|east|frame|83|shipped
1946|ember|east|sensor|31|held
1834|dorian|east|frame|42|paid
1630|birch|west|pump|70|shipped
1467|ember|south|valve|96|held
1948|gale|east|frame|13|shipped
2098|ionic|west|cable|92|pending
2078|acme|north|sensor|42|held
1817|ionic|west|sensor|93|shipped
1668|dorian|north|sensor|94|pending
2108|acme|west|valve|24|held
1650|ember|south|frame|45|pending
2215|ember|east|panel|36|shipped
1871|ionic|west|cable|94|paid
1777|harbor|north|rotor|93|paid
2186|dorian|south|rotor|85|paid
1529|harbor|west|valve|27|pending
2053|dorian|north|gasket|33|shipped
1796|birch|west|valve|32|paid
2000|harbor|north|frame|93|shipped
2084|ionic|north|cable|94|pending
2092|acme|west|cable|26|paid
1597|ember|west|gasket|80|shipped
1912|acme|east|pump|52|shipped
2094|harbor|east|rotor|91|pending
2139|gale|east|panel|43|paid
2201|ionic|east|gasket|30|held
2099|acme|west|sensor|92|shipped
1933|gale|east|panel|14|held
1759|birch|west|rotor|14|shipped
1923|gale|south|rotor|84|shipped
1799|juno|south|pump|94|held
1520|ember|east|rotor|78|pending
2181|fulton|north|cable|49|shipped
2102|ember|east|panel|20|held
2063|birch|east|gasket|64|pending
2086|ember|south|sensor|68|paid
2023|ember|south|rotor|23|shipped
1643|birch|north|rotor|88|held
1769|cobalt|west|sensor|65|shipped
2211|acme|north|panel|28|pending
1932|fulton|west|rotor|66|shipped
1969|acme|north|valve|29|held
1894|gale|east|pump|78|paid
2184|dorian|west|panel|29|paid
1702|ionic|east|cable|98|paid
2079|gale|west|gasket|96|paid
2134|ionic|north|rotor|33|shipped
1533|birch|south|cable|71|paid
1979|dorian|north|pump|71|paid
1463|ember|south|pump|48|pending
1709|fulton|north|valve|84|pending
1681|harbor|south|sensor|43|shipped
1674|birch|west|sensor|36|pending
2026|ionic|east|cable|14|held
1794|juno|south|sensor|31|shipped
2040|cobalt|south|frame|88|shipped
2203|gale|south|rotor|93|paid
2057|dorian|north|cable|91|shipped
1656|juno|south|cable|56|pending
1837|ionic|west|cable|16|shipped
1557|gale|west|panel|20|pending
2013|cobalt|south|pump|53|pending
2143|harbor|east|frame|16|paid
2122|fulton|east|frame|47|held
1670|juno|east|gasket|74|paid
1662|cobalt|north|rotor|37|held
1545|cobalt|north|cable|39|paid
1924|fulton|south|cable|20|shipped
1762|acme|south|cable|13|shipped
1865|ionic|north|sensor|70|shipped
1685|fulton|north|rotor|42|shipped
1594|acme|west|gasket|51|paid
2085|dorian|east|rotor|94|held
1997|ember|south|gasket|40|pending
1490|ember|north|cable|85|pending
1813|acme|south|rotor|90|shipped
2044|birch|north|cable|92|shipped
1484|ember|south|rotor|57|pending
2175|harbor|west|sensor|69|held
1585|dorian|west|panel|59|paid
1550|ionic|north|pump|61|pending
2006|harbor|south|valve|96|pending
2223|fulton|north|frame|16|held
2112|cobalt|west|valve|45|held
2074|juno|north|frame|37|shipped
1608|ember|east|rotor|45|shipped
1723|acme|west|valve|19|paid
2210|birch|west|sensor|59|held
1887|ember|east|rotor|51|pending
1984|acme|south|rotor|67|shipped
2228|ionic|west|rotor|93|paid
2034|acme|north|pump|75|held
1786|acme|north|panel|67|shipped
2187|acme|east|sensor|55|paid
1780|cobalt|south|rotor|25|paid
1848|birch|west|sensor|48|shipped
1495|ember|south|valve|35|held
1917|juno|east|valve|22|paid
1636|cobalt|south|rotor|13|paid
1938|fulton|east|gasket|79|held
1820|birch|south|frame|96|paid
1512|ember|south|gasket|84|paid
2016|ionic|north|pump|27|shipped
1828|juno|east|sensor|55|pending
1578|birch|east|gasket|14|shipped
1806|birch|north|frame|98|shipped
1771|acme|east|frame|85|held
1612|dorian|east|panel|63|pending
1881|ember|south|cable|79|pending
1592|gale|south|gasket|92|pending
1599|juno|north|valve|53|shipped
1696|harbor|north|rotor|62|shipped
2149|juno|east|gasket|45|shipped
1691|ember|west|pump|17|paid
1733|cobalt|north|gasket|51|paid
1966|fulton|east|cable|72|held
2067|juno|east|valve|31|pending
2188|birch|north|rotor|41|paid
1603|ember|west|frame|25|pending
2217|fulton|north|rotor|50|paid
1596|ionic|west|rotor|93|shipped
1789|harbor|south|cable|10|paid
1740|harbor|south|rotor|47|paid
1516|ember|south|rotor|10|pending
1775|gale|east|frame|10|paid
1471|ember|south|rotor|72|pending
1746|dorian|west|rotor|15|held
1832|gale|north|frame|90|pending
1754|cobalt|west|rotor|66|pending
1973|fulton|south|rotor|25|pending
1565|ionic|west|sensor|52|held
1941|juno|west|cable|98|held
1889|juno|west|panel|79|pending
2091|harbor|north|frame|99|pending
1960|juno|north|pump|99|held
1903|ember|south|rotor|62|pending
1577|harbor|east|pump|38|held
1502|ember|south|gasket|40|pending
2197|juno|south|frame|71|pending
2193|dorian|north|cable|17|paid
2151|juno|north|sensor|84|paid
2158|ember|south|panel|30|paid
1876|birch|north|rotor|88|paid
1751|dorian|east|gasket|39|paid
2128|gale|east|frame|76|held
1507|ember|east|pump|10|pending
1950|dorian|east|cable|45|shipped
1618|birch|north|sensor|36|held
1814|juno|east|sensor|60|paid
2117|gale|west|frame|69|pending
2047|acme|north|valve|11|pending
1478|ember|east|gasket|88|pending
1844|fulton|east|gasket|67|pending
1990|juno|east|frame|55|held
1572|juno|east|cable|25|shipped
1527|ember|south|pump|46|held
2204|fulton|east|pump|80|held
1719|dorian|west|frame|53|shipped
1645|birch|east|rotor|76|held
2160|harbor|west|panel|50|held
2234|dorian|north|frame|46|shipped
1613|fulton|east|pump|18|pending
2166|birch|east|panel|27|pending
1623|birch|east|gasket|94|held
2028|birch|west|pump|50|shipped
1953|fulton|east|gasket|68|shipped
1542|cobalt|north|valve|40|pending
1931|birch|south|cable|13|shipped
1854|harbor|north|cable|15|held
1481|ember|south|cable|20|shipped
1899|dorian|east|sensor|21|paid
1728|harbor|east|valve|90|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 50, 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":1463}},
{"tool":"restock","args":{"item":"rotor","qty":72}},
{"tool":"restock","args":{"item":"rotor","qty":57}},
{"tool":"cancel_order","args":{"order_id":1502}},
{"tool":"cancel_order","args":{"order_id":1516}},
{"tool":"cancel_order","args":{"order_id":1650}},
{"tool":"restock","args":{"item":"cable","qty":79}},
{"tool":"restock","args":{"item":"rotor","qty":62}},
{"tool":"cancel_order","args":{"order_id":1997}}
]correctagentic.tools.triage-v1conf 100% · 366ms · $0.001 · 974 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → silva
- auth → dubois
- infra → okafor
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 3)
2. "invoice total wrong" (category: payments, priority 3)
3. "webhooks not delivered" (category: infra, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "silva"
}
},
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 3
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 6
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "okafor"
}
}
]correctagentic.tools.deploy-v1conf 100% · 1.4s · $0.001 · 545 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: (none)
- auth-svc: billing
- notifier: auth-svc, billing
- search: billing, 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 "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":"auth-svc"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"search"}}
]correctagentic.tools.context-load-v1conf 99% · 380ms · $0.003 · 1983 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 (262 records, format: id|customer|region|item|qty|status):
```
1781|birch|east|sensor|24|paid
1756|harbor|south|rotor|86|pending
1977|ember|west|cable|18|held
1902|gale|north|rotor|51|held
2206|fulton|south|cable|64|held
2194|ionic|west|rotor|46|shipped
1719|ember|east|panel|83|held
2022|cobalt|north|panel|34|paid
2061|gale|west|cable|32|paid
2212|juno|west|valve|42|pending
1571|birch|east|valve|95|paid
1813|birch|east|frame|59|pending
1574|birch|east|rotor|46|held
1301|juno|east|panel|24|shipped
1544|harbor|north|rotor|76|held
1610|cobalt|south|frame|81|shipped
1580|dorian|north|sensor|17|shipped
1677|acme|east|sensor|99|pending
1712|cobalt|north|sensor|68|paid
1771|gale|west|sensor|71|held
2025|ember|west|pump|60|pending
1840|dorian|east|cable|13|held
2225|gale|west|pump|74|pending
1904|fulton|north|pump|39|held
1507|ember|north|cable|43|shipped
1461|harbor|east|gasket|88|shipped
2141|juno|east|frame|76|pending
1349|acme|east|rotor|94|shipped
1855|cobalt|south|gasket|14|held
1623|gale|south|frame|83|paid
2045|ember|north|frame|98|pending
1487|ionic|east|frame|65|paid
2169|cobalt|west|frame|82|held
1600|ionic|west|gasket|68|shipped
1264|gale|east|panel|84|pending
2002|birch|east|rotor|19|paid
1863|cobalt|west|cable|49|paid
1886|cobalt|south|valve|27|pending
1703|harbor|west|frame|27|shipped
1700|ember|south|pump|41|paid
1928|harbor|south|panel|61|held
1462|juno|north|valve|24|shipped
1250|fulton|north|frame|46|pending
2246|harbor|south|pump|81|paid
1419|ionic|north|rotor|52|shipped
2237|ionic|north|frame|67|shipped
1481|cobalt|west|panel|64|shipped
1368|acme|west|sensor|98|held
2232|ionic|east|frame|37|held
1761|ionic|west|cable|42|shipped
1497|cobalt|south|panel|76|held
1708|ember|south|rotor|35|held
1449|acme|west|frame|10|paid
2175|juno|west|rotor|57|shipped
1795|ionic|east|valve|79|pending
1296|acme|north|cable|60|held
1483|ember|north|cable|91|paid
1583|acme|south|sensor|95|shipped
1808|fulton|south|rotor|74|held
1338|harbor|south|sensor|26|held
1682|ionic|east|cable|71|paid
1244|fulton|west|panel|12|pending
1563|fulton|south|pump|45|shipped
1558|fulton|south|rotor|87|paid
1689|ionic|south|pump|63|held
1956|fulton|west|cable|65|pending
1427|ember|east|valve|77|pending
1324|ember|south|cable|41|pending
1539|acme|south|cable|99|paid
1369|dorian|west|rotor|76|shipped
1671|cobalt|west|cable|35|pending
1281|acme|east|cable|45|held
1819|acme|west|sensor|54|paid
2073|cobalt|west|pump|14|held
2057|cobalt|south|gasket|87|shipped
1410|birch|west|rotor|58|paid
1217|fulton|west|pump|34|pending
1293|juno|east|frame|18|pending
2009|gale|south|gasket|68|shipped
1673|harbor|east|cable|30|shipped
2008|fulton|west|panel|20|pending
1882|gale|east|rotor|60|pending
1611|acme|west|sensor|11|pending
1787|cobalt|south|cable|44|held
1226|fulton|west|panel|95|held
2126|gale|north|frame|96|shipped
1798|acme|west|pump|74|paid
1512|acme|north|rotor|33|held
1930|ionic|west|rotor|54|pending
1617|cobalt|west|sensor|63|paid
1741|fulton|north|frame|20|shipped
1519|birch|north|sensor|85|held
1936|ember|south|valve|34|held
1348|juno|south|sensor|72|paid
1435|dorian|north|pump|66|pending
1709|fulton|east|panel|58|pending
2000|cobalt|south|pump|50|held
1964|juno|east|cable|82|held
1200|fulton|west|panel|48|held
1660|fulton|east|valve|68|pending
1925|birch|west|rotor|43|pending
1456|cobalt|south|pump|64|shipped
1989|ember|west|valve|65|pending
1727|ionic|north|sensor|22|held
1538|dorian|east|valve|13|shipped
1946|harbor|north|valve|64|pending
1257|fulton|west|cable|30|paid
1541|fulton|west|valve|65|shipped
1288|harbor|north|panel|40|paid
2220|acme|south|panel|90|shipped
1721|cobalt|north|frame|71|pending
2050|gale|south|panel|36|pending
1810|acme|north|valve|31|pending
2182|fulton|west|cable|78|paid
2243|ember|west|sensor|17|pending
1206|fulton|west|gasket|80|pending
1751|cobalt|west|sensor|14|paid
1394|dorian|south|panel|20|paid
1869|cobalt|south|panel|18|paid
2040|gale|west|panel|61|paid
2157|cobalt|east|cable|88|paid
2103|cobalt|south|panel|90|held
1515|cobalt|south|rotor|92|paid
1783|fulton|west|rotor|35|pending
1551|fulton|north|frame|48|pending
2146|juno|north|pump|53|pending
1569|fulton|east|frame|55|pending
2239|juno|west|cable|65|pending
1630|gale|south|panel|47|shipped
1445|birch|north|panel|70|shipped
2086|cobalt|south|sensor|49|paid
1311|fulton|north|valve|86|paid
1658|fulton|north|panel|18|shipped
1308|cobalt|east|frame|98|shipped
1618|harbor|west|pump|26|paid
1199|fulton|south|frame|93|pending
1914|harbor|west|sensor|91|paid
1592|juno|south|pump|74|paid
1694|fulton|north|panel|51|held
1791|juno|west|cable|10|paid
1870|ionic|south|pump|51|shipped
1804|dorian|north|frame|17|paid
1416|ionic|east|frame|12|paid
2188|harbor|west|pump|54|paid
1314|cobalt|east|valve|84|held
1725|fulton|east|pump|55|shipped
1662|cobalt|south|valve|92|pending
1777|cobalt|west|sensor|75|shipped
1321|ember|east|rotor|24|held
1640|gale|east|cable|21|pending
1404|fulton|west|gasket|69|pending
2112|harbor|east|frame|66|held
2163|ember|south|gasket|83|held
2134|birch|west|rotor|11|shipped
1922|harbor|east|panel|77|held
1287|cobalt|south|valve|23|pending
1974|birch|west|pump|27|held
1877|acme|east|sensor|19|shipped
1645|ember|west|sensor|78|paid
1331|gale|east|gasket|55|held
1277|ember|north|valve|56|held
1846|juno|north|frame|25|shipped
2065|ember|west|sensor|22|paid
1693|cobalt|east|frame|85|pending
2120|acme|east|pump|84|held
2113|ionic|north|gasket|87|held
1897|ember|east|pump|79|paid
1758|cobalt|west|cable|74|pending
1782|fulton|south|frame|96|pending
1603|dorian|north|rotor|12|pending
1379|ember|west|rotor|68|held
1325|gale|south|gasket|94|shipped
1372|gale|east|cable|65|shipped
1533|fulton|south|panel|51|pending
1833|harbor|south|rotor|72|paid
2123|harbor|south|rotor|11|held
2238|acme|west|pump|14|pending
2098|ember|east|valve|61|pending
2080|dorian|west|pump|61|held
1383|gale|south|cable|18|shipped
1942|ember|west|panel|60|pending
1822|ember|east|sensor|67|held
2210|acme|south|gasket|48|shipped
1431|acme|east|rotor|43|paid
1469|birch|south|rotor|24|pending
1356|ionic|north|rotor|11|shipped
1839|fulton|north|cable|68|paid
2199|ember|south|rotor|24|shipped
1390|dorian|east|rotor|12|pending
1300|juno|north|gasket|77|paid
1362|harbor|west|rotor|83|pending
1586|harbor|south|panel|48|pending
1490|juno|east|cable|94|paid
2068|acme|north|rotor|68|shipped
2136|harbor|east|cable|76|pending
1911|fulton|south|pump|16|paid
2117|fulton|south|cable|79|held
1238|fulton|west|cable|43|paid
2152|harbor|south|valve|58|held
1222|fulton|east|cable|15|pending
1739|cobalt|north|frame|25|shipped
1424|acme|west|cable|30|paid
1979|ember|east|rotor|95|held
1270|fulton|south|frame|18|held
1197|fulton|west|sensor|11|pending
1893|ionic|west|rotor|79|pending
1233|fulton|north|pump|21|pending
1659|birch|north|sensor|23|held
2151|juno|east|frame|15|paid
1231|fulton|west|sensor|73|pending
1828|ember|east|frame|77|pending
2091|juno|north|gasket|21|shipped
1436|fulton|north|pump|99|pending
1848|ember|east|gasket|76|pending
1789|ionic|north|gasket|43|paid
1397|gale|west|gasket|84|held
2158|fulton|north|valve|46|pending
1861|dorian|east|valve|34|shipped
1915|ionic|north|frame|72|pending
1986|ionic|west|frame|85|paid
2105|harbor|east|sensor|30|shipped
1434|cobalt|north|panel|16|paid
2038|acme|west|valve|12|pending
1765|ionic|north|sensor|38|paid
1809|birch|south|rotor|40|shipped
2219|dorian|west|panel|46|pending
1207|fulton|south|gasket|84|pending
1871|ionic|east|gasket|78|pending
1961|acme|south|rotor|12|held
1625|birch|south|valve|88|held
1466|juno|east|pump|76|pending
1503|cobalt|east|sensor|93|held
1867|dorian|north|valve|24|pending
1470|ember|west|frame|46|shipped
2015|gale|north|pump|98|pending
1334|birch|south|cable|31|pending
1341|harbor|north|valve|49|pending
1597|gale|south|rotor|93|pending
1526|ember|west|sensor|89|pending
1968|gale|west|panel|60|held
2179|birch|north|gasket|80|shipped
1734|ember|north|sensor|91|held
1476|ionic|north|rotor|43|pending
2031|fulton|south|gasket|20|pending
1847|ember|south|cable|38|held
1607|harbor|south|panel|97|shipped
1890|harbor|east|gasket|61|paid
1653|harbor|west|sensor|53|held
2128|birch|south|pump|36|paid
1654|juno|north|rotor|61|shipped
1746|birch|west|panel|76|shipped
1210|fulton|west|panel|89|held
1952|harbor|east|pump|29|paid
1590|ionic|east|cable|99|pending
1652|cobalt|west|rotor|56|paid
1993|acme|east|sensor|76|paid
1669|ember|east|gasket|46|shipped
1474|ember|east|frame|98|shipped
1635|gale|south|gasket|35|shipped
1381|ember|north|rotor|27|held
1440|juno|south|cable|80|pending
2082|gale|west|pump|61|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"cancel_order","args":{"order_id":1197}},
{"tool":"restock","args":{"item":"gasket","qty":80}},
{"tool":"cancel_order","args":{"order_id":1217}},
{"tool":"restock","args":{"item":"sensor","qty":73}},
{"tool":"cancel_order","args":{"order_id":1244}},
{"tool":"restock","args":{"item":"gasket","qty":69}},
{"tool":"cancel_order","args":{"order_id":1783}},
{"tool":"restock","args":{"item":"cable","qty":65}},
{"tool":"cancel_order","args":{"order_id":2008}}
]correctagentic.tools.ledger-v1conf 100% · 575ms · $0.001 · 917 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: $761
- alpha: $565
- bravo: $435
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $304 from "lima" to "bravo"
2. pay $230 from "lima" to "alpha"
3. pay $261 from "bravo" to "lima"
4. pay $225 from "bravo" to "lima"
5. pay $189 from "bravo" to "lima"
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": "bravo",
"amount": 304
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "alpha",
"amount": 230
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "lima",
"amount": 261
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "lima",
"amount": 225
}
},
{
"tool": "transfer",
"args": {
"from": "bravo",
"to": "lima",
"amount": 189
}
}
]correctagentic.tools.triage-v1conf 100% · 448ms · $0.001 · 956 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → okafor
- infra → dubois
- payments → haddad
INCIDENTS:
1. "export file corrupted" (category: data, priority 5)
2. "API latency spikes" (category: infra, priority 8)
3. "export file corrupted" (category: data, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 8
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-2"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "dubois"
}
},
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 5
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-1"
}
}
]correctagentic.tools.deploy-v1conf 100% · 398ms · $0.001 · 550 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: (none)
- notifier: reports
- billing: search
- search: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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":"reports"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"health_check","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"billing"}}
]correctagentic.tools.ledger-v1conf 100% · 291ms · $0.001 · 677 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- echo: $601
- bravo: $253
- tango: $890
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $209 from "echo" to "tango"
2. pay $143 from "echo" to "bravo"
3. pay $291 from "tango" to "echo"
4. pay $405 from "bravo" to "echo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"echo","to":"tango","amount":209}},
{"tool":"transfer","args":{"from":"echo","to":"bravo","amount":143}},
{"tool":"transfer","args":{"from":"tango","to":"echo","amount":291}},
{"tool":"top_up_from_reserve","args":{"account":"bravo","amount":9}},
{"tool":"transfer","args":{"from":"bravo","to":"echo","amount":405}}
]correctagentic.tools.triage-v1conf 100% · 404ms · $0.001 · 1174 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- auth → okafor
- infra → tanaka
- data → chen
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 5)
2. "uploads failing intermittently" (category: infra, priority 2)
3. "export file corrupted" (category: data, priority 5)
4. "export file corrupted" (category: data, priority 5)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "uploads failing intermittently",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "chen"
}
},
{
"tool": "create_ticket",
"args": {
"title": "export file corrupted",
"priority": 5
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-3"
}
}
]correctagentic.tools.context-load-v1conf 100% · 329ms · $0.002 · 1336 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 (195 records, format: id|customer|region|item|qty|status):
```
1631|fulton|west|rotor|27|paid
1950|gale|east|gasket|18|held
1879|juno|west|valve|89|paid
1579|acme|north|gasket|71|held
1829|juno|north|gasket|40|held
1485|harbor|east|sensor|69|paid
1795|cobalt|north|frame|38|held
1447|gale|north|rotor|55|pending
1475|dorian|west|pump|40|shipped
2095|ionic|north|frame|62|pending
1482|cobalt|east|rotor|50|shipped
1550|dorian|east|sensor|54|pending
1368|ember|south|gasket|55|pending
1470|acme|north|rotor|66|shipped
1642|juno|west|cable|49|pending
1512|fulton|west|sensor|70|pending
1831|birch|east|frame|96|paid
1520|dorian|north|cable|96|shipped
1625|dorian|east|gasket|65|held
1375|cobalt|north|gasket|22|held
1708|juno|east|cable|27|paid
1952|gale|south|pump|45|pending
1330|ember|north|cable|78|pending
1802|acme|south|pump|61|held
1672|birch|west|frame|60|pending
1563|fulton|east|cable|31|pending
2045|ionic|east|cable|43|held
1491|ionic|west|valve|93|shipped
1667|cobalt|south|sensor|90|pending
1498|cobalt|west|gasket|47|paid
2070|birch|west|frame|75|pending
2014|dorian|west|sensor|22|pending
1757|fulton|north|cable|66|held
1940|cobalt|south|gasket|77|held
1727|ember|east|valve|33|pending
1472|harbor|east|cable|85|held
1860|dorian|north|cable|81|held
1345|ember|north|valve|62|paid
1984|harbor|north|sensor|90|paid
1967|birch|north|cable|23|held
1596|birch|east|valve|74|pending
2035|ionic|north|frame|61|shipped
1921|fulton|south|panel|11|shipped
1340|ember|west|valve|66|pending
1750|fulton|south|cable|83|pending
1703|dorian|east|frame|49|held
1826|acme|west|gasket|31|shipped
1337|ember|north|sensor|45|paid
2051|ember|east|frame|79|shipped
1339|ember|north|panel|98|pending
1935|acme|north|rotor|58|shipped
1838|juno|south|sensor|39|held
1985|ionic|east|sensor|77|shipped
1773|cobalt|east|rotor|71|held
1637|birch|south|valve|10|paid
1994|birch|north|cable|35|paid
1891|fulton|south|frame|93|shipped
1978|ember|east|gasket|82|held
1671|cobalt|south|valve|25|pending
1417|ember|west|sensor|31|pending
1841|birch|west|pump|64|shipped
1529|gale|north|sensor|82|pending
2110|acme|west|valve|48|shipped
1853|birch|west|pump|78|paid
1713|harbor|south|gasket|13|paid
1536|acme|east|sensor|36|held
1909|acme|north|gasket|70|paid
2086|gale|east|rotor|95|shipped
1648|ember|east|pump|75|held
2074|ionic|west|rotor|53|paid
1790|harbor|east|sensor|36|paid
2019|dorian|south|valve|23|shipped
1487|gale|north|pump|75|paid
2080|juno|west|panel|82|pending
1926|acme|north|rotor|36|paid
1653|acme|north|frame|12|pending
1992|birch|west|gasket|20|held
1944|gale|east|sensor|46|shipped
1819|acme|west|cable|15|held
2061|gale|east|cable|36|held
1401|acme|north|pump|17|pending
1474|gale|east|panel|61|shipped
1701|ionic|west|panel|21|held
1685|birch|south|cable|59|paid
1560|birch|north|sensor|48|paid
1866|fulton|south|pump|34|pending
2090|harbor|south|cable|75|paid
1421|ember|west|sensor|48|held
1565|dorian|north|rotor|71|shipped
1460|harbor|west|frame|49|held
1431|ionic|east|frame|94|held
1558|acme|east|cable|65|paid
1693|acme|east|rotor|28|paid
1678|birch|west|panel|79|shipped
2021|harbor|south|gasket|23|held
1471|harbor|south|gasket|84|shipped
1961|birch|west|frame|54|held
1808|birch|north|cable|81|pending
1381|ember|south|cable|98|held
1594|juno|east|gasket|91|held
1784|birch|west|pump|78|held
2038|fulton|south|panel|37|paid
1736|fulton|north|cable|16|paid
1602|ionic|south|rotor|74|held
1694|fulton|south|frame|65|shipped
1896|harbor|west|cable|81|held
1426|gale|east|valve|43|pending
1584|ember|south|rotor|97|paid
1518|acme|east|rotor|29|held
1972|harbor|south|sensor|35|pending
1715|harbor|west|pump|27|paid
1917|ionic|east|frame|97|held
2000|fulton|north|valve|29|paid
1716|cobalt|south|sensor|73|pending
1689|ionic|north|sensor|59|pending
1883|harbor|west|gasket|65|held
1919|dorian|east|pump|69|held
1413|dorian|east|rotor|16|held
1718|acme|east|panel|77|paid
1938|birch|east|cable|57|paid
1384|birch|north|cable|50|pending
1723|dorian|west|pump|57|shipped
1389|cobalt|north|panel|89|held
2097|birch|north|frame|92|pending
1903|acme|north|panel|24|held
1872|ionic|west|valve|31|held
1607|birch|north|panel|27|held
1445|acme|east|valve|66|paid
1355|ember|north|frame|65|paid
2068|juno|east|panel|65|held
1553|cobalt|west|valve|25|paid
2103|dorian|north|sensor|49|shipped
1395|juno|east|cable|50|pending
1510|dorian|south|gasket|90|pending
1887|acme|north|sensor|80|pending
1928|ember|west|valve|38|shipped
1408|ember|east|cable|61|held
1480|acme|north|gasket|29|shipped
1661|cobalt|south|pump|21|pending
1613|ember|south|frame|77|paid
1955|gale|south|valve|79|paid
1766|birch|west|sensor|56|held
2007|ionic|north|rotor|51|paid
1740|juno|east|panel|24|shipped
1350|ember|south|cable|35|pending
1782|juno|south|frame|95|held
1658|acme|south|valve|22|held
1953|dorian|west|frame|25|pending
1915|acme|north|pump|94|shipped
1438|acme|south|cable|92|shipped
1974|ionic|west|panel|76|held
1591|dorian|east|panel|40|shipped
1332|ember|west|rotor|30|pending
1619|juno|west|rotor|54|paid
1572|juno|east|sensor|29|shipped
2002|fulton|south|valve|97|held
1848|acme|south|sensor|85|shipped
1465|ember|south|pump|18|paid
1409|acme|south|gasket|73|held
1901|birch|east|gasket|14|shipped
1523|acme|east|sensor|67|shipped
1362|acme|west|panel|23|pending
1394|gale|south|frame|63|shipped
1406|ember|east|gasket|80|paid
1454|gale|south|sensor|96|held
2071|fulton|north|rotor|85|shipped
1905|ionic|north|cable|74|held
1469|acme|east|rotor|96|shipped
1729|ember|east|panel|83|held
1537|harbor|west|valve|49|held
2028|ember|south|panel|75|shipped
1989|juno|east|frame|41|paid
1761|fulton|north|panel|32|held
1603|ionic|west|frame|46|pending
1814|dorian|north|rotor|95|shipped
1844|dorian|east|pump|97|shipped
2044|cobalt|south|sensor|84|shipped
2054|ionic|west|rotor|21|shipped
1765|ionic|north|gasket|41|pending
1393|harbor|north|cable|63|held
1745|dorian|south|gasket|62|shipped
1660|ionic|north|pump|40|paid
2082|fulton|north|frame|48|held
1534|birch|east|gasket|20|paid
1754|juno|south|panel|59|paid
1786|gale|west|gasket|92|paid
1444|harbor|north|cable|78|held
1346|ember|north|pump|36|pending
1650|juno|north|gasket|97|shipped
1504|fulton|west|rotor|97|paid
1544|juno|south|valve|64|paid
2072|harbor|north|valve|94|paid
1618|cobalt|east|valve|59|held
1641|juno|west|pump|39|shipped
1780|harbor|east|pump|92|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ember" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 62, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"restock","args":{"item":"cable","qty":78}},
{"tool":"restock","args":{"item":"panel","qty":98}},
{"tool":"cancel_order","args":{"order_id":1346}}
]correctagentic.tools.ledger-v1conf 100% · 1.4s · $0.001 · 904 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: $611
- echo: $250
- bravo: $340
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $128 from "tango" to "echo"
2. pay $535 from "echo" to "tango"
3. pay $478 from "tango" to "echo"
4. pay $320 from "echo" to "bravo"
5. pay $567 from "echo" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"transfer","args":{"from":"tango","to":"echo","amount":128}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":157}},
{"tool":"transfer","args":{"from":"echo","to":"tango","amount":535}},
{"tool":"transfer","args":{"from":"tango","to":"echo","amount":478}},
{"tool":"transfer","args":{"from":"echo","to":"bravo","amount":320}},
{"tool":"top_up_from_reserve","args":{"account":"echo","amount":409}},
{"tool":"transfer","args":{"from":"echo","to":"tango","amount":567}}
]correctagentic.tools.deploy-v1conf 100% · 404ms · $0.001 · 898 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: notifier, search
- reports: gateway, notifier
- search: (none)
- notifier: search
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"search"}},
{"tool":"deploy","args":{"service":"notifier"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"health_check","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"reports"}}
]correctagentic.tools.triage-v1conf 100% · 398ms · $0.001 · 960 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → rivera
- infra → okafor
- data → haddad
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 5)
2. "webhooks not delivered" (category: infra, priority 3)
3. "invoice total wrong" (category: payments, 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": "invoice total wrong",
"priority": 5
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "rivera"
}
},
{
"tool": "create_ticket",
"args": {
"title": "webhooks not delivered",
"priority": 3
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "invoice total wrong",
"priority": 5
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-3",
"resolution": "duplicate of TCK-1"
}
}
]correctagentic.tools.context-load-v1conf 100% · 279ms · $0.003 · 1171 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 (251 records, format: id|customer|region|item|qty|status):
```
1437|ember|east|rotor|74|paid
1615|birch|south|pump|80|shipped
2086|acme|south|cable|10|held
1348|dorian|north|gasket|46|pending
1291|dorian|north|cable|95|pending
1331|ionic|south|valve|59|held
2083|juno|east|cable|72|pending
1762|ionic|west|pump|38|held
1559|cobalt|east|rotor|82|paid
2155|ember|east|gasket|93|held
2185|gale|east|cable|12|shipped
1240|acme|north|sensor|90|pending
1725|dorian|west|valve|60|shipped
2212|cobalt|west|panel|21|paid
1259|harbor|west|rotor|31|held
2051|juno|east|panel|17|paid
1659|juno|east|sensor|62|paid
2089|gale|west|cable|45|pending
1294|juno|east|gasket|10|shipped
2183|harbor|east|panel|71|shipped
2199|dorian|north|cable|20|pending
2078|dorian|north|panel|63|paid
1346|dorian|east|frame|23|pending
1796|cobalt|south|panel|57|shipped
1577|harbor|south|panel|44|shipped
1840|harbor|west|valve|95|pending
1753|dorian|east|panel|91|held
2062|acme|north|rotor|52|paid
2037|cobalt|south|valve|69|held
1487|juno|south|frame|50|held
1359|ember|east|valve|10|paid
2112|juno|north|panel|27|shipped
1283|juno|north|pump|84|paid
1318|cobalt|west|rotor|96|shipped
2134|gale|north|sensor|63|paid
2031|gale|east|sensor|69|paid
1267|fulton|east|gasket|27|pending
1769|fulton|west|pump|72|held
1536|cobalt|north|valve|55|held
1683|ember|south|valve|60|paid
1930|fulton|south|cable|77|paid
2109|juno|north|frame|54|shipped
1767|acme|north|pump|81|pending
1421|cobalt|south|rotor|57|paid
1496|cobalt|north|valve|61|paid
2012|dorian|west|valve|85|pending
2163|harbor|north|panel|37|paid
2024|gale|south|cable|36|pending
1843|gale|west|gasket|63|pending
1473|harbor|south|pump|24|shipped
1597|ember|west|frame|71|shipped
1532|birch|west|valve|44|shipped
1474|harbor|north|panel|57|pending
1649|ionic|south|rotor|71|paid
1786|acme|south|sensor|61|pending
1540|cobalt|west|gasket|11|paid
1952|birch|east|valve|13|pending
1878|cobalt|north|panel|29|pending
1894|harbor|north|valve|23|paid
1717|fulton|west|panel|80|paid
1590|dorian|north|valve|53|held
2017|harbor|north|pump|61|held
1238|acme|north|pump|54|shipped
1364|harbor|west|gasket|56|shipped
1706|ember|south|frame|48|pending
1481|juno|north|cable|32|held
1919|gale|west|rotor|68|held
1332|juno|south|sensor|86|held
1656|harbor|east|gasket|10|shipped
1224|acme|north|panel|50|pending
1771|dorian|west|cable|17|paid
1622|ember|west|panel|99|paid
1306|harbor|west|pump|97|held
1951|ionic|east|cable|13|pending
1411|birch|west|panel|25|pending
2205|ember|north|panel|32|shipped
1231|acme|north|pump|43|paid
1234|acme|north|cable|73|pending
1458|ionic|east|sensor|46|held
2069|ionic|east|panel|10|pending
1424|dorian|south|gasket|42|shipped
1664|cobalt|north|rotor|60|pending
1611|ember|east|pump|46|pending
1219|acme|north|frame|53|held
1778|juno|south|pump|32|held
1881|dorian|north|frame|79|pending
1812|juno|north|rotor|83|pending
1324|ember|east|sensor|91|pending
1989|juno|south|rotor|27|paid
1864|ionic|south|panel|87|shipped
1631|dorian|south|panel|52|held
1266|harbor|south|frame|70|shipped
2028|fulton|west|rotor|84|held
1472|cobalt|south|panel|50|paid
1967|gale|north|panel|56|shipped
2075|ionic|west|rotor|17|shipped
1957|gale|west|sensor|60|held
1660|birch|east|rotor|28|held
1506|dorian|east|valve|78|paid
1827|gale|east|rotor|19|shipped
2117|ember|east|valve|11|pending
1944|ember|west|panel|94|paid
2128|birch|south|sensor|60|held
1587|ember|north|gasket|67|shipped
1405|birch|east|rotor|71|held
2192|cobalt|south|panel|30|pending
2152|dorian|south|cable|38|held
1432|dorian|north|sensor|80|held
1247|acme|east|sensor|21|pending
1252|acme|north|valve|82|shipped
2186|harbor|east|pump|83|paid
1760|juno|south|cable|60|held
1697|harbor|north|cable|60|paid
1934|dorian|south|gasket|27|held
2164|harbor|west|valve|72|shipped
1344|juno|east|sensor|29|shipped
1503|harbor|south|frame|76|held
1936|dorian|east|sensor|72|paid
1690|dorian|north|pump|88|shipped
1710|ember|south|frame|66|pending
1440|juno|south|rotor|60|pending
1212|acme|east|panel|78|pending
1834|dorian|west|valve|76|held
1795|acme|south|cable|57|pending
1299|birch|east|valve|10|shipped
2172|birch|south|gasket|53|held
1485|ionic|north|panel|47|shipped
1946|juno|south|pump|19|paid
1393|cobalt|east|rotor|66|held
1909|gale|east|panel|65|held
1525|juno|west|rotor|97|shipped
1356|ionic|south|sensor|53|held
1644|juno|east|sensor|37|pending
1696|harbor|north|panel|44|paid
1585|juno|west|panel|75|held
1901|cobalt|south|frame|56|pending
1856|gale|east|gasket|47|paid
1278|gale|west|cable|56|paid
1658|birch|west|pump|96|shipped
1740|harbor|east|panel|51|paid
1937|fulton|south|frame|22|held
1862|ionic|east|cable|32|paid
1670|juno|south|cable|81|held
2102|gale|south|rotor|45|pending
1384|birch|south|sensor|50|held
1337|gale|south|gasket|84|paid
1850|cobalt|south|cable|68|held
1626|acme|west|sensor|39|paid
2110|harbor|west|frame|15|held
1732|cobalt|east|frame|83|paid
1417|ember|east|pump|38|held
1296|ember|north|gasket|39|pending
2121|cobalt|north|gasket|69|held
1366|fulton|east|pump|55|paid
2005|birch|east|cable|92|held
1918|ember|south|panel|76|pending
1446|ionic|east|frame|68|held
1912|birch|east|cable|79|held
1974|gale|west|panel|27|paid
1747|juno|north|gasket|55|shipped
1636|gale|south|sensor|82|held
1235|acme|south|valve|89|pending
1814|ionic|east|rotor|63|paid
1721|ionic|east|cable|91|pending
1599|ionic|east|cable|30|shipped
1530|fulton|east|sensor|42|paid
2044|fulton|north|cable|40|held
1529|dorian|west|pump|89|held
1798|ember|north|frame|29|held
1292|fulton|east|valve|31|shipped
1807|birch|north|cable|32|pending
1394|acme|south|valve|60|held
1772|gale|south|frame|88|pending
1269|harbor|east|cable|73|pending
1722|acme|east|valve|24|shipped
2139|acme|south|pump|32|paid
2165|gale|west|gasket|50|pending
1887|birch|north|sensor|23|shipped
1617|dorian|east|rotor|52|pending
1428|juno|south|panel|94|shipped
1839|juno|south|cable|67|pending
1373|acme|south|panel|61|held
1340|fulton|west|pump|23|pending
1552|dorian|south|cable|36|held
1511|acme|east|gasket|15|paid
2216|harbor|north|pump|44|held
1995|cobalt|west|rotor|61|paid
1872|acme|south|sensor|82|shipped
1635|cobalt|south|valve|55|shipped
2025|ember|south|sensor|27|pending
1275|dorian|east|panel|14|pending
1679|ionic|west|cable|48|held
1867|birch|north|pump|19|shipped
1907|ember|south|panel|87|pending
2158|dorian|west|cable|24|shipped
2059|acme|east|rotor|51|shipped
1209|acme|north|rotor|27|pending
1518|ionic|south|valve|74|paid
1226|acme|west|pump|83|pending
1427|ember|south|pump|82|held
1578|gale|south|sensor|36|pending
1467|ember|south|valve|62|shipped
1453|juno|west|cable|15|held
1780|birch|west|panel|81|held
1592|cobalt|south|panel|40|shipped
1734|cobalt|north|sensor|64|paid
1984|harbor|north|sensor|58|shipped
2111|dorian|north|sensor|38|shipped
1387|cobalt|east|valve|85|pending
1701|dorian|east|cable|23|paid
1566|harbor|west|valve|75|held
1805|cobalt|south|sensor|34|held
1569|juno|west|rotor|21|held
1861|gale|east|valve|84|shipped
1475|acme|south|panel|90|pending
1423|fulton|east|pump|68|paid
1549|ember|west|rotor|18|paid
1351|acme|north|pump|53|held
2203|harbor|north|frame|62|pending
1672|cobalt|west|cable|36|held
1312|harbor|north|rotor|82|shipped
1787|gale|east|rotor|75|pending
1685|juno|east|frame|59|paid
1978|dorian|west|pump|66|pending
1378|harbor|north|frame|14|held
1990|dorian|south|gasket|60|pending
2147|ember|east|gasket|48|shipped
2056|dorian|north|cable|80|paid
2022|fulton|north|valve|85|shipped
2071|acme|north|panel|10|held
1546|dorian|north|gasket|60|paid
1426|ember|north|frame|40|paid
2002|dorian|east|frame|38|paid
1604|dorian|north|panel|71|pending
2063|acme|east|valve|28|shipped
1572|ember|south|panel|98|held
2144|harbor|east|sensor|22|shipped
1507|dorian|north|gasket|82|pending
2097|gale|south|valve|43|held
1817|acme|west|sensor|93|shipped
1823|cobalt|east|panel|11|held
2091|cobalt|north|pump|11|held
2178|gale|south|gasket|78|shipped
1925|gale|south|sensor|60|held
1492|ionic|north|sensor|83|pending
1284|gale|south|gasket|88|held
1464|acme|west|pump|86|held
1789|birch|west|valve|95|shipped
1400|acme|north|valve|73|pending
1962|ember|west|frame|88|paid
1639|gale|north|frame|46|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 68, 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":1209}},
{"tool":"cancel_order","args":{"order_id":1224}},
{"tool":"restock","args":{"item":"cable","qty":73}},
{"tool":"restock","args":{"item":"sensor","qty":90}},
{"tool":"restock","args":{"item":"valve","qty":73}},
{"tool":"restock","args":{"item":"pump","qty":81}}
]correctagentic.tools.deploy-v1conf 100% · 473ms · $0.001 · 527 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: gateway, reports
- auth-svc: reports
- reports: (none)
- gateway: 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 "reports" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{"tool":"deploy","args":{"service":"reports"}},
{"tool":"health_check","args":{"service":"reports"}},
{"tool":"deploy","args":{"service":"auth-svc"}},
{"tool":"deploy","args":{"service":"gateway"}},
{"tool":"deploy","args":{"service":"billing"}}
]correctagentic.tools.ledger-v1conf 100% · 2.3s · $0.001 · 796 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: $710
- bravo: $387
- lima: $839
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $448 from "lima" to "kilo"
2. pay $97 from "kilo" to "bravo"
3. pay $478 from "kilo" to "bravo"
4. pay $130 from "lima" to "kilo"
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": "kilo",
"amount": 448
}
},
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "bravo",
"amount": 97
}
},
{
"tool": "transfer",
"args": {
"from": "kilo",
"to": "bravo",
"amount": 478
}
},
{
"tool": "transfer",
"args": {
"from": "lima",
"to": "kilo",
"amount": 130
}
}
]correctagentic.tools.context-load-v1anchorconf 100% · 340ms · $0.003 · 1577 tok
model answer:
[
{"tool":"restock","args":{"item":"gasket","qty":60}},
{"tool":"cancel_order","args":{"order_id":1368}},
{"tool":"cancel_order","args":{"order_id":1384}},
{"tool":"restock","args":{"item":"frame","qty":58}},
{"tool":"restock","args":{"item":"rotor","qty":75}},
{"tool":"cancel_order","args":{"order_id":1682}}
]correctagentic.tools.triage-v1conf 100% · 328ms · $0.001 · 869 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 → tanaka
- data → haddad
- payments → rivera
INCIDENTS:
1. "SSO loop on login" (category: auth, priority 4)
2. "SSO loop on login" (category: auth, priority 4)
3. "card declined at checkout" (category: payments, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 4
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "SSO loop on login",
"priority": 4
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-2",
"resolution": "duplicate of TCK-1"
}
},
{
"tool": "create_ticket",
"args": {
"title": "card declined at checkout",
"priority": 8
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "rivera"
}
}
]correctagentic.tools.deploy-v1anchorconf 100% · 290ms · $0.001 · 521 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 100% · 1.6s · $0.001 · 1109 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 100% · 439ms · $0.001 · 1153 tok
model answer:
[
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 9
}
},
{
"tool": "escalate",
"args": {
"ticket_id": "TCK-1"
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-1",
"agent": "tanaka"
}
},
{
"tool": "create_ticket",
"args": {
"title": "records missing after import",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-2",
"agent": "novak"
}
},
{
"tool": "create_ticket",
"args": {
"title": "refund double-charged",
"priority": 2
}
},
{
"tool": "assign",
"args": {
"ticket_id": "TCK-3",
"agent": "okafor"
}
},
{
"tool": "create_ticket",
"args": {
"title": "API latency spikes",
"priority": 9
}
},
{
"tool": "close_ticket",
"args": {
"ticket_id": "TCK-4",
"resolution": "duplicate of TCK-1"
}
}
]code 30/30 correct
correctcode.trace.js-v1conf 100% · 289ms · $0.000 · 335 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12]; const out = arr .map(n => n * 5) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
340correctcode.trace.nested-v1conf 100% · 442ms · $0.001 · 1096 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
169correctcode.trace.python-v1conf 100% · 395ms · $0.000 · 400 tok
question
What does this Python program print?
```python
total = 0
v = 12
while total + v <= 33:
if v % 6 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
17correctcode.trace.js-v1conf 100% · 803ms · $0.000 · 285 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 7) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
105correctcode.trace.nested-v1conf 100% · 296ms · $0.001 · 1465 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
128correctcode.trace.python-v1conf 100% · 451ms · $0.001 · 1439 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 4
while total + v <= 54:
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:
50correctcode.trace.nested-v1conf 100% · 676ms · $0.001 · 1495 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 8):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 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:
200correctcode.trace.js-v1conf 100% · 283ms · $0.001 · 640 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]; const out = arr .map(n => n * 2) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
180correctcode.trace.python-v1conf 100% · 500ms · $0.001 · 1020 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 8
while total + v <= 46:
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:
33correctcode.trace.js-v1conf 100% · 316ms · $0.001 · 471 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 5) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
525correctcode.trace.nested-v1conf 100% · 566ms · $0.001 · 1303 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) % 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:
118correctcode.trace.python-v1conf 100% · 309ms · $0.001 · 884 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 15
while total + v <= 63:
if v % 4 != 0:
total += v
v += 2
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
51correctcode.trace.js-v1conf 100% · 318ms · $0.001 · 709 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]; const out = arr .map(n => n * 7) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
126correctcode.trace.nested-v1conf 100% · 323ms · $0.001 · 1149 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 4 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
108correctcode.trace.python-v1conf 100% · 396ms · $0.001 · 520 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 14
while total + v <= 119:
if v % 6 != 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:
98correctcode.trace.nested-v1conf 100% · 1.9s · $0.001 · 1329 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
159correctcode.trace.js-v1conf 100% · 278ms · $0.001 · 624 tok
question
What does this JavaScript program log? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 5) .filter(n => n % 3 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
210correctcode.trace.python-v1conf 100% · 671ms · $0.001 · 693 tok
question
What does this Python program print?
```python
total = 0
v = 7
while total + v <= 63:
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:
49correctcode.trace.js-v1conf 100% · 388ms · $0.001 · 670 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [1, 2, 3, 4, 5, 6]; 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:
24correctcode.trace.nested-v1conf 100% · 388ms · $0.001 · 1537 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) % 2 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
62correctcode.trace.python-v1conf 100% · 419ms · $0.001 · 491 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 2
while total + v <= 56:
if v % 7 != 0:
total += v
v += 9
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
33correctcode.trace.js-v1conf 100% · 386ms · $0.001 · 505 tok
question
What does this JavaScript program log? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]; const out = arr .map(n => n * 7) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
210correctcode.trace.nested-v1conf 100% · 293ms · $0.001 · 1521 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, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 3 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
251correctcode.trace.python-v1conf 100% · 405ms · $0.001 · 759 tok
question
What does this Python program print?
```python
total = 0
v = 3
while total + v <= 81:
if v % 6 != 0:
total += v
v += 4
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
78correctcode.trace.js-v1conf 100% · 580ms · $0.000 · 437 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 5) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
140correctcode.trace.nested-v1conf 100% · 611ms · $0.001 · 1151 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
351correctcode.trace.js-v1anchorconf 100% · 881ms · $0.000 · 289 tok
model answer:
63correctcode.trace.python-v1anchorconf 100% · 321ms · $0.001 · 629 tok
model answer:
0correctcode.trace.nested-v1anchorconf 100% · 345ms · $0.001 · 1312 tok
model answer:
283correctcode.trace.python-v1anchorconf 100% · 357ms · $0.001 · 523 tok
model answer:
40instruction following 29/30 correct
correctif.constraints.stack-v1conf 100% · 380ms · $0.002 · 2115 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "cedar" and the last word must be "tundra". 3. Use the word "lumen" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cedar, the old machine stirred beneath three lumen lamps while one lumen faded and another lumen glowed across the vast cold tundracorrectif.format.acronym-v1conf 100% · 284ms · $0.000 · 215 tok
question
Take the first letter of each of these words, in order: tundra, delta, cedar, comet, nova, drift. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
TDCCNDcorrectif.format.repeat-v1conf 100% · 556ms · $0.001 · 494 tok
question
Write the word "lumen" in uppercase 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:
LUMEN/LUMEN/LUMEN/LUMEN/LUMENcorrectif.constraints.stack-v1conf 99% · 327ms · $0.002 · 2270 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 "prism". 3. Use the word "lumen" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cedar winter mornings kindle lumen, lumen, lumen while frost crowns silent windows into prismwrongif.constraints.stack-v1conf 100% · 319ms · $0.002 · 2147 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "ember" and the last word must be "comet". 3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember antique cedar engine groaned softly while cedar gears turned beneath the old dust toward cometcorrectif.format.acronym-v1conf 100% · 300ms · $0.000 · 329 tok
question
Take the second letter of each of these words, in order: orbit, flint, comet, lumen, drift, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
RLOURAcorrectif.format.repeat-v1conf 100% · 650ms · $0.000 · 433 tok
question
Write the word "echo" in lowercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo/echo/echo/echo/echo/echo/echo/echocorrectif.format.acronym-v1conf 100% · 398ms · $0.000 · 246 tok
question
Take the second letter of each of these words, in order: tundra, lumen, delta, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
UUEAcorrectif.constraints.stack-v1conf 99% · 302ms · $0.002 · 1944 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 19 words. 2. The first word must be "echo" and the last word must be "lumen". 3. Use the word "delta" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
echo delta an old machine hummed as delta gears turned beside delta lanterns casting warm light through iron lumencorrectif.format.repeat-v1conf 100% · 248ms · $0.000 · 444 tok
question
Write the word "comet" 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:
Comet-Comet-Comet-Comet-Cometcorrectif.format.acronym-v1conf 100% · 306ms · $0.000 · 217 tok
question
Take the first letter of each of these words, in order: lumen, cedar, nova, zephyr, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
LCNZTcorrectif.constraints.stack-v1conf 100% · 495ms · $0.002 · 2587 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 22 words. 2. The first word must be "ember" and the last word must be "lumen". 3. Use the word "falcon" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ember winter mornings glow softly; falcon watches frost, falcon circles silently, falcon greets dawn, while pale windows shimmer beneath a silver lumencorrectif.format.repeat-v1conf 100% · 332ms · $0.000 · 457 tok
question
Write the word "falcon" in uppercase 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:
FALCON_FALCON_FALCONcorrectif.format.acronym-v1conf 100% · 305ms · $0.000 · 265 tok
question
Take the second letter of each of these words, in order: comet, cedar, ember, orbit, drift, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
OEMRRCcorrectif.constraints.stack-v1conf 100% · 315ms · $0.001 · 1897 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "prism" and the last word must be "cedar". 3. Use the word "zephyr" 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:
prism winter mornings glow softly; zephyr drifts over frosted fields, while zephyr stirs pale light beside old cedarcorrectif.format.repeat-v1conf 100% · 370ms · $0.001 · 511 tok
question
Write the word "prism" in capitalized form, repeated exactly 9 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Prism-Prism-Prism-Prism-Prism-Prism-Prism-Prism-Prismcorrectif.constraints.stack-v1conf 100% · 439ms · $0.001 · 1483 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 15 words. 2. The first word must be "delta" and the last word must be "quartz". 3. Use the word "ember" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "j" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
delta once turned gears, an old machine humming slowly beside ember, ember, and ancient quartzcorrectif.format.acronym-v1conf 100% · 255ms · $0.000 · 288 tok
question
Take the first letter of each of these words, in order: comet, quartz, zephyr, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
CQZOcorrectif.format.repeat-v1conf 100% · 483ms · $0.000 · 439 tok
question
Write the word "drift" 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:
DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFT_DRIFTcorrectif.format.acronym-v1conf 100% · 2.5s · $0.000 · 253 tok
question
Take the second letter of each of these words, in order: zephyr, comet, orbit, lumen, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
EORUAcorrectif.format.repeat-v1conf 100% · 630ms · $0.001 · 792 tok
question
Write the word "nova" 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:
Nova_Nova_Nova_Nova_Novacorrectif.constraints.stack-v1conf 100% · 1.3s · $0.001 · 1725 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "flint" and the last word must be "zephyr". 3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
flint nova drifts across the sea nova while moonlit waves carry nova dreams toward silent shores beneath a soft zephyrcorrectif.constraints.stack-v1conf 99% · 1.1s · $0.002 · 1990 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 20 words. 2. The first word must be "basalt" and the last word must be "zephyr". 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:
basalt framed an old engine, its ember glowing softly while another ember warmed silent gears beneath moonlit dust, awaiting zephyrcorrectif.format.acronym-v1conf 100% · 846ms · $0.000 · 277 tok
question
Take the second letter of each of these words, in order: quartz, lumen, basalt, echo, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
UUACRcorrectif.format.repeat-v1conf 100% · 310ms · $0.001 · 649 tok
question
Write the word "tundra" in capitalized form, repeated exactly 9 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tundra/Tundra/Tundra/Tundra/Tundra/Tundra/Tundra/Tundra/Tundracorrectif.format.acronym-v1conf 100% · 763ms · $0.000 · 328 tok
question
Take the third letter of each of these words, in order: cedar, comet, delta, echo, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
DMLHLcorrectif.constraints.stack-v1anchorconf 100% · 377ms · $0.002 · 1986 tok
model answer:
drift through midnight avenues, where lumen windows shimmer, lumen taxis hum, and lumen stars echo above sleeping rooftops beneath silent dark clouds in orbitcorrectif.format.repeat-v1anchorconf 100% · 3.1s · $0.001 · 533 tok
model answer:
Echo_Echo_Echo_Echo_Echo_Echo_Echo_Echocorrectif.format.acronym-v1anchorconf 100% · 1.1s · $0.000 · 224 tok
model answer:
ZDFQcorrectif.format.repeat-v1anchorconf 100% · 361ms · $0.000 · 442 tok
model answer:
ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYRknowledge 30/30 correct
correctknowledge.fr.factbank-v2conf 100% · 266ms · $0.000 · 217 tok
question
Identify the Canadian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 882ms · $0.000 · 179 tok
question
Identify the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 472ms · $0.000 · 205 tok
question
What is the chemical element with symbol Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 249ms · $0.000 · 166 tok
question
What is the writer of the novel "Things Fall Apart"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 495ms · $0.000 · 238 tok
question
What is the Nigerian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 273ms · $0.000 · 214 tok
question
What is the author of "The Master and Margarita"? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 341ms · $0.000 · 238 tok
question
What is the element whose symbol is Sb? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Antimonycorrectknowledge.fr.factbank-v2conf 100% · 490ms · $0.000 · 164 tok
question
What is the capital of Turkey? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 343ms · $0.000 · 202 tok
question
Identify the author of "Snow Country". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Yasunari Kawabatacorrectknowledge.fr.factbank-v2conf 100% · 350ms · $0.000 · 145 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 482ms · $0.000 · 168 tok
question
Name the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 364ms · $0.000 · 222 tok
question
Identify the capital of Switzerland. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Berncorrectknowledge.fr.factbank-v2conf 100% · 352ms · $0.000 · 164 tok
question
Name the capital of Canada. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 372ms · $0.000 · 176 tok
question
Identify the element whose symbol is Pb. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Leadcorrectknowledge.fr.factbank-v2conf 100% · 290ms · $0.000 · 253 tok
question
What is the Burmese capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Naypyidawcorrectknowledge.fr.factbank-v2conf 100% · 372ms · $0.000 · 211 tok
question
Identify the element whose symbol is Sn. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tincorrectknowledge.fr.factbank-v2conf 100% · 353ms · $0.000 · 172 tok
question
Name the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 297ms · $0.000 · 151 tok
question
What is the Turkish capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 1.0s · $0.000 · 168 tok
question
Name 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:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 374ms · $0.000 · 165 tok
question
Identify the capital of Australia. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 523ms · $0.000 · 133 tok
question
Identify the Turkish capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 402ms · $0.000 · 197 tok
question
Name the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 304ms · $0.000 · 262 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:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 360ms · $0.000 · 219 tok
question
Name the Brazilian capital city. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Brasíliacorrectknowledge.fr.factbank-v2conf 100% · 324ms · $0.000 · 175 tok
question
Name the author of "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 393ms · $0.000 · 231 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:
Brasíliacorrectknowledge.fr.factbank-v2anchorconf 100% · 350ms · $0.000 · 175 tok
model answer:
Mercurycorrectknowledge.fr.factbank-v2anchorconf 100% · 600ms · $0.000 · 241 tok
model answer:
Tungstencorrectknowledge.fr.factbank-v2anchorconf 100% · 552ms · $0.000 · 212 tok
model answer:
Antimonycorrectknowledge.fr.factbank-v2anchorconf 100% · 593ms · $0.000 · 138 tok
model answer:
Leadmath 30/30 correct
correctmath.chained.pipeline-v1conf 100% · 291ms · $0.000 · 235 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 19 × 34. Step 2: Q = P × 6 − 640. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
648correctmath.counterfactual.base-v1conf 100% · 399ms · $0.001 · 945 tok
question
Work strictly in base 11. Multiply the base-11 numbers 54 and 56. 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:
2782correctmath.percent.chain-v2conf 100% · 302ms · $0.000 · 326 tok
question
An inventory starts at 33000 units. The warehouse was painted 3 years ago. In the first month the inventory grows by 40%. The delivery van has a 26-liter fuel tank. The next month it shrinks by 20%, and the month after it grows by 6%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
39177.6correctmath.algebra.system-v2conf 100% · 367ms · $0.000 · 355 tok
question
Solve the system, then answer the derived question. 8x + 9y = 204 7x − 7y = 357 What is the value of 4x − 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:
180correctmath.arith.chain-v2conf 100% · 387ms · $0.000 · 357 tok
question
Compute the value of the following expression. (((57 × 61 − 697) × 5 + 9942) − 30 × 51) × 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:
89248correctmath.chained.pipeline-v1conf 100% · 269ms · $0.000 · 261 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 64 × 21. Step 2: Q = P × 5 − 948. Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
1443correctmath.counterfactual.base-v1conf 100% · 308ms · $0.001 · 1170 tok
question
Work strictly in base 7. Multiply the base-7 numbers 32 and 130. 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:
4460correctmath.percent.chain-v2conf 100% · 314ms · $0.001 · 472 tok
question
An inventory starts at 35000 units. Each pallet weighs about 138 grams more when wet. In the first month the inventory grows by 13%. The delivery van has a 158-liter fuel tank. The next month it shrinks by 33%, and the month after it grows by 44%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
38157.84correctmath.arith.chain-v2conf 100% · 593ms · $0.001 · 984 tok
question
Calculate the following. Show your reasoning, then answer. (((66 × 92 − 326) × 3 + 6599) − 31 × 86) × 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:
148197correctmath.algebra.system-v2conf 100% · 530ms · $0.000 · 411 tok
question
Solve the system, then answer the derived question. 3x + 2y = -55 4x − 8y = -180 What is the value of 6x − 6y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
-210correctmath.chained.pipeline-v1conf 100% · 358ms · $0.000 · 264 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 38 × 16. Step 2: Q = P × 6 − 622. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
606correctmath.counterfactual.base-v1conf 100% · 411ms · $0.001 · 809 tok
question
Work strictly in base 11. Add the base-11 numbers 20A8 and 372. 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:
246Acorrectmath.algebra.system-v2conf 100% · 399ms · $0.001 · 458 tok
question
Solve the system, then answer the derived question. 4x + 6y = -30 9x − 8y = -304 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:
-153correctmath.percent.chain-v2conf 100% · 505ms · $0.001 · 475 tok
question
An inventory starts at 11000 units. Each pallet weighs about 176 grams more when wet. In the first month the inventory grows by 32%. The company was founded 6 kilometers from the port. The next month it shrinks by 42%, and the month after it grows by 14%. 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:
9600.62correctmath.arith.chain-v2conf 100% · 293ms · $0.000 · 341 tok
question
Evaluate the expression below and give the result. (((60 × 65 − 945) × 5 + 6083) − 89 × 29) × 5 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
91385correctmath.counterfactual.base-v1conf 100% · 349ms · $0.001 · 1042 tok
question
Work strictly in base 11. Add the base-11 numbers 1079 and 1858. 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:
2926correctmath.chained.pipeline-v1conf 100% · 332ms · $0.000 · 246 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 14 × 32. Step 2: Q = P × 7 − 166. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
594correctmath.percent.chain-v2conf 100% · 347ms · $0.001 · 453 tok
question
An inventory starts at 30000 units. Each pallet weighs about 4 grams more when wet. In the first month the inventory grows by 27%. A rival firm shipped 138 unrelated parcels the same week. The next month it shrinks by 28%, and the month after it grows by 25%. 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:
34290correctmath.arith.chain-v2conf 100% · 485ms · $0.000 · 339 tok
question
Compute the value of the following expression. (((82 × 61 − 631) × 3 + 4940) − 51 × 89) × 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:
81084correctmath.algebra.system-v2conf 100% · 489ms · $0.000 · 355 tok
question
Solve the system, then answer the derived question. 4x + 8y = 80 9x − 5y = 88 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:
52correctmath.counterfactual.base-v1conf 100% · 2.3s · $0.001 · 943 tok
question
Work strictly in base 13. Multiply the base-13 numbers 12 and 3B. Give the result IN BASE 13 (digits beyond 9 are A, B, C). End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
459correctmath.chained.pipeline-v1conf 100% · 386ms · $0.000 · 335 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 83 × 37. Step 2: Q = P × 6 − 152. Step 3: divide Q by 5: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3658correctmath.percent.chain-v2conf 100% · 287ms · $0.000 · 441 tok
question
An inventory starts at 13000 units. The warehouse was painted 116 years ago. In the first month the inventory grows by 40%. Each pallet weighs about 116 grams more when wet. The next month it shrinks by 34%, and the month after it grows by 11%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
13333.32correctmath.algebra.system-v2conf 100% · 486ms · $0.001 · 482 tok
question
Solve the system, then answer the derived question. 5x + 9y = 256 3x − 8y = 33 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:
148correctmath.arith.chain-v2conf 100% · 334ms · $0.001 · 491 tok
question
Work out the exact value of this expression. (((61 × 96 − 611) × 9 + 1926) − 54 × 34) × 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:
331065correctmath.chained.pipeline-v1conf 100% · 993ms · $0.000 · 265 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 12 × 84. Step 2: Q = P × 3 − 126. 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:
414correctmath.counterfactual.base-v1anchorconf 100% · 358ms · $0.001 · 710 tok
model answer:
11236correctmath.percent.chain-v2anchorconf 100% · 753ms · $0.001 · 496 tok
model answer:
61896.52correctmath.algebra.system-v2anchorconf 100% · 358ms · $0.000 · 330 tok
model answer:
87correctmath.arith.chain-v2anchorconf 100% · 636ms · $0.000 · 384 tok
model answer:
108153multilingual 30/30 correct
correctmultilingual.wordnum-v1conf 100% · 549ms · $0.000 · 320 tok
question
A number is written in French: « cent dix-sept ». Another is written in Spanish: « doscientos setenta 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:
-160correctmultilingual.numword-v2conf 100% · 581ms · $0.000 · 333 tok
question
Compute 477 + 180, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos cincuenta y sietecorrectmultilingual.wordnum-v1conf 100% · 328ms · $0.000 · 232 tok
question
A number is written in French: « deux cent soixante-quatre ». Another is written in Spanish: « doscientos sesenta y uno ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
3correctmultilingual.wordnum-v1conf 100% · 9.1s · $0.000 · 238 tok
question
A number is written in French: « trois cent quatre-vingt-dix-huit ». Another is written in Spanish: « doscientos cuarenta ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
638correctmultilingual.numword-v2conf 100% · 357ms · $0.000 · 393 tok
question
Compute 365 + 437, 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:
huit cent deuxcorrectmultilingual.wordnum-v1conf 100% · 835ms · $0.000 · 263 tok
question
A number is written in French: « quatre cent trente ». Another is written in Spanish: « cuatrocientos ochenta y ocho ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
918correctmultilingual.numword-v2conf 100% · 312ms · $0.000 · 362 tok
question
Compute 242 + 322, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cinq cent soixante-quatrecorrectmultilingual.numword-v2conf 100% · 424ms · $0.000 · 364 tok
question
Compute 365 + 329, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos noventa y cuatrocorrectmultilingual.wordnum-v1conf 100% · 591ms · $0.000 · 197 tok
question
A number is written in French: « neuf cent treize ». Another is written in Spanish: « ochenta 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:
829correctmultilingual.numword-v2conf 100% · 361ms · $0.000 · 403 tok
question
Compute 109 + 83, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cent quatre-vingt-douzecorrectmultilingual.wordnum-v1conf 100% · 244ms · $0.000 · 278 tok
question
A number is written in French: « trois cent cinquante-huit ». Another is written in Spanish: « ochocientos 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:
1165correctmultilingual.numword-v2conf 100% · 378ms · $0.000 · 343 tok
question
Compute 381 + 150, 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 uncorrectmultilingual.wordnum-v1conf 100% · 379ms · $0.000 · 236 tok
question
A number is written in French: « cinq cent quarante ». Another is written in Spanish: « setecientos 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:
1267correctmultilingual.numword-v2conf 100% · 292ms · $0.000 · 307 tok
question
Compute 210 + 86, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos noventa y seiscorrectmultilingual.wordnum-v1conf 100% · 525ms · $0.000 · 253 tok
question
A number is written in French: « cent quarante-quatre ». Another is written in Spanish: « ochocientos 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:
-737correctmultilingual.numword-v2conf 100% · 375ms · $0.000 · 371 tok
question
Compute 374 + 295, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
six cent soixante-neufcorrectmultilingual.wordnum-v1conf 100% · 291ms · $0.000 · 236 tok
question
A number is written in French: « trois cent soixante-dix-neuf ». Another is written in Spanish: « quinientos cuarenta ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
919correctmultilingual.numword-v2conf 100% · 304ms · $0.000 · 300 tok
question
Compute 199 + 254, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos cincuenta y trescorrectmultilingual.wordnum-v1conf 100% · 949ms · $0.000 · 196 tok
question
A number is written in French: « quatre cent quarante-deux ». Another is written in Spanish: « doscientos 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:
205correctmultilingual.numword-v2conf 100% · 2.6s · $0.000 · 332 tok
question
Compute 307 + 187, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos noventa y cuatrocorrectmultilingual.wordnum-v1conf 100% · 532ms · $0.000 · 361 tok
question
A number is written in French: « trois cent trente-deux ». Another is written in Spanish: « seiscientos setenta 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:
-339correctmultilingual.numword-v2conf 100% · 556ms · $0.000 · 337 tok
question
Compute 108 + 306, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos catorcecorrectmultilingual.wordnum-v1conf 100% · 393ms · $0.000 · 264 tok
question
A number is written in French: « neuf cent quatorze ». Another is written in Spanish: « trescientos once ». 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:
603correctmultilingual.numword-v2conf 100% · 1.7s · $0.000 · 268 tok
question
Compute 489 + 203, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
seiscientos noventa y doscorrectmultilingual.numword-v2conf 100% · 1.4s · $0.000 · 320 tok
question
Compute 154 + 53, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
doscientos sietecorrectmultilingual.wordnum-v1conf 100% · 304ms · $0.000 · 270 tok
question
A number is written in French: « quatre-vingt-huit ». Another is written in Spanish: « doscientos cuarenta y uno ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
329correctmultilingual.wordnum-v1anchorconf 100% · 478ms · $0.000 · 229 tok
model answer:
150correctmultilingual.numword-v2anchorconf 100% · 346ms · $0.000 · 372 tok
model answer:
huit cent soixante-dix-neufcorrectmultilingual.numword-v2anchorconf 100% · 299ms · $0.000 · 334 tok
model answer:
seiscientos ochocorrectmultilingual.wordnum-v1anchorconf 100% · 423ms · $0.000 · 217 tok
model answer:
762reasoning 29/30 correct
correctreasoning.deduction.position-v1conf 100% · 427ms · $0.000 · 329 tok
question
Four people stand in a queue (number 1 is the front). Hana is number 2 in the queue. Ines is directly ahead of Liam. Chen is directly ahead of Hana. 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:
Chencorrectreasoning.deduction.order-v2conf 100% · 467ms · $0.001 · 465 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Mona. Sami is older than Emil. Mona is older than Chen. Bruno is taller than everyone here, but Bruno is not being ranked. Farah is older than Chen. Hana is older than Farah. Sami is older than Chen. Farah is older than Sami. Liam is older than Hana. Emil 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:
Samicorrectreasoning.deduction.order-v2conf 100% · 515ms · $0.001 · 534 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Farah. Priya is older than everyone here, but Priya is not being ranked. Hana is faster than Farah. Ola is faster than Hana. Chen is faster than Ola. Liam is faster than Mona. Liam is faster than Hana. Liam is faster than Ola. Mona is faster than Ines. Ines is faster than Chen. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Hanacorrectreasoning.deduction.position-v1conf 100% · 371ms · $0.000 · 369 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Dara. Dara is directly ahead of Mona. Ola 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:
Farahcorrectreasoning.deduction.position-v1conf 100% · 313ms · $0.000 · 338 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 1 in the queue. Nadir is directly ahead of Alice. Alice is directly ahead of Bruno. 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:
Jonascorrectreasoning.deduction.order-v2conf 100% · 340ms · $0.001 · 765 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Ines is taller than Mona. Ola is taller than Rosa. Sami is taller than Bruno. Rosa is taller than Sami. Ines is taller than Ola. Mona is taller than Bruno. Ola is taller than Sami. Hana is taller than Mona. Nadir is faster than everyone here, but Nadir is not being ranked. Sami is taller than Hana. 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:
Monawrongreasoning.deduction.position-v1conf 100% · 362ms · $0.001 · 766 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 3 in the queue. Jonas is directly ahead of Nadir. Nadir is directly ahead of Emil. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Cannot be determinedcorrectreasoning.deduction.order-v2conf 100% · 546ms · $0.001 · 538 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Rosa is older than Jonas. Hana is older than Tessa. Jonas is older than Mona. Alice is faster than everyone here, but Alice is not being ranked. Quinn is older than Rosa. Mona is older than Tessa. Nadir is older than Quinn. Nadir is older than Mona. Mona is older than Hana. Rosa is older than Hana. Who is third (rank 3)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Rosacorrectreasoning.deduction.position-v1conf 100% · 2.4s · $0.000 · 323 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Rosa. Farah is number 3 in the queue. Rosa is directly ahead of Farah. 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:
Rosacorrectreasoning.deduction.order-v2conf 100% · 357ms · $0.001 · 706 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ines is faster than Kira. Bruno is faster than Farah. Chen is faster than Bruno. Emil is faster than Mona. Kira is faster than Bruno. Farah is faster than Emil. Bruno is faster than Emil. Kira is faster than Chen. Farah is faster than Mona. Ola is taller than everyone here, but Ola is not being ranked. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kiracorrectreasoning.deduction.position-v1conf 100% · 529ms · $0.000 · 342 tok
question
Four people stand in a queue (number 1 is the front). Mona is number 4 in the queue. Chen is directly ahead of Mona. Ola is directly ahead of Quinn. Quinn is directly ahead of Chen. 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:
Monacorrectreasoning.deduction.order-v2conf 100% · 348ms · $0.001 · 529 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Quinn is taller than Jonas. Chen is taller than Quinn. Goran is taller than Kira. Ola is heavier than everyone here, but Ola is not being ranked. Priya is taller than Kira. Quinn is taller than Priya. Alice is taller than Chen. Goran is taller than Alice. Kira is taller than Jonas. Goran is taller than Chen. 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:
Chencorrectreasoning.deduction.order-v2conf 100% · 2.4s · $0.001 · 568 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Dara is heavier than Farah. Farah is heavier than Emil. Quinn is heavier than Kira. Ola is taller than everyone here, but Ola is not being ranked. Jonas is heavier than Emil. Jonas is heavier than Dara. Nadir is heavier than Quinn. Emil is heavier than Quinn. Nadir is heavier than Jonas. Nadir is heavier than Dara. 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:
Quinncorrectreasoning.deduction.position-v1conf 100% · 331ms · $0.000 · 349 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Nadir. Farah is directly ahead of Kira. Nadir is number 4 in the queue. Goran 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:
Nadircorrectreasoning.deduction.order-v2conf 100% · 693ms · $0.001 · 727 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Dara is taller than Alice. Farah is taller than Priya. Mona is taller than Dara. Quinn is taller than Farah. Sami is taller than Mona. Dara is taller than Quinn. Alice is taller than Quinn. Dara is taller than Farah. Alice is taller than Priya. Hana is faster than everyone here, but Hana is not being ranked. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monacorrectreasoning.deduction.position-v1conf 100% · 268ms · $0.000 · 335 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 2 in the queue. Dara is directly ahead of Sami. Farah is directly ahead of Jonas. 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:
Daracorrectreasoning.deduction.position-v1conf 100% · 350ms · $0.000 · 355 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Quinn. Sami is number 1 in the queue. Priya is directly ahead of Ola. 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:
Quinncorrectreasoning.deduction.order-v2conf 100% · 569ms · $0.000 · 345 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Goran is heavier than Quinn. Liam is heavier than Emil. Tessa is faster than everyone here, but Tessa is not being ranked. Ola is heavier than Quinn. Liam is heavier than Ola. Ines is heavier than Jonas. Ola is heavier than Emil. Emil is heavier than Quinn. Goran is heavier than Liam. Jonas 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:
Jonascorrectreasoning.deduction.position-v1conf 100% · 363ms · $0.000 · 355 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Tessa. Tessa is directly ahead of Rosa. Sami 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:
Monacorrectreasoning.deduction.order-v2conf 100% · 485ms · $0.001 · 548 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Ola. Ines is heavier than Sami. Kira is heavier than Emil. Sami is heavier than Priya. Goran is faster than everyone here, but Goran is not being ranked. Priya is heavier than Hana. Ola is heavier than Hana. Priya is heavier than Hana. Sami is heavier than Ola. Emil is heavier than Ines. 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:
Inescorrectreasoning.deduction.position-v1conf 100% · 784ms · $0.000 · 324 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Alice. Alice is directly ahead of Liam. Liam is number 3 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Alicecorrectreasoning.deduction.order-v2conf 100% · 644ms · $0.001 · 595 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ola is older than Sami. Nadir is older than Goran. Priya is older than Ola. Ines is older than Tessa. Ola is older than Nadir. Sami is older than Nadir. Sami is older than Goran. Tessa is older than Priya. Sami is older than Goran. Alice is heavier than everyone here, but Alice is not being ranked. Who is fourth (rank 4)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Olacorrectreasoning.deduction.position-v1conf 100% · 347ms · $0.000 · 323 tok
question
Four people stand in a queue (number 1 is the front). Rosa is number 3 in the queue. Farah is directly ahead of Goran. Goran is directly ahead of Rosa. 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:
Farahcorrectreasoning.deduction.order-v2conf 100% · 355ms · $0.001 · 564 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Ola is faster than Dara. Emil is faster than Dara. Ola is faster than Emil. Jonas is faster than Emil. Ines is heavier than everyone here, but Ines is not being ranked. Nadir is faster than Priya. Priya is faster than Jonas. Kira is faster than Jonas. Jonas is faster than Ola. Priya is faster 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:
Priyacorrectreasoning.deduction.position-v1conf 100% · 498ms · $0.000 · 268 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Dara. Dara is number 2 in the queue. Liam is directly ahead of Sami. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Liamcorrectreasoning.deduction.order-v2conf 100% · 300ms · $0.001 · 525 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Emil is heavier than Sami. Kira is heavier than Tessa. Priya is heavier than Emil. Alice is faster than everyone here, but Alice is not being ranked. Ola is heavier than Priya. Dara is heavier than Ola. Dara is heavier than Tessa. Emil is heavier than Kira. Tessa is heavier than Sami. Ola is heavier 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:
Olacorrectreasoning.deduction.order-v2anchorconf 100% · 2.0s · $0.001 · 674 tok
model answer:
Monacorrectreasoning.deduction.order-v2anchorconf 100% · 355ms · $0.001 · 479 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 880ms · $0.000 · 390 tok
model answer:
Quinncorrectreasoning.deduction.position-v1anchorconf 100% · 354ms · $0.000 · 316 tok
model answer:
Farahterminal 30/30 correct
correctterminal.exit.chain-v1conf 100% · 352ms · $0.001 · 472 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B false && echo C || echo D grep -q amber 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
D
E
Z
exit:0correctterminal.fs.tree-v1conf 100% · 474ms · $0.001 · 622 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/docs`, `/proj/assets`): ``` /proj/assets/index.cfg /proj/assets/notes.md /proj/docs/setup.cfg /proj/todo.txt /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p docs/conf-3 rm todo.txt rm assets/index.cfg cp docs/setup.cfg assets/ mkdir -p src/logs-4 cp util.log docs/ ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/notes.md
/proj/assets/setup.cfg
/proj/docs/setup.cfg
/proj/docs/util.log
/proj/util.logcorrectterminal.pipeline.predict-v1conf 100% · 321ms · $0.001 · 423 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ivy,sales,117,79 bo,legal,80,57 eli,eng,80,24 lou,sales,87,11 hal,ops,88,75 dev,hr,100,20 jon,hr,113,81 pam,hr,110,98 kim,hr,49,70 ned,eng,52,29 max,legal,76,74 oli,eng,67,78 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ned,eng,52,29
oli,eng,67,78
eli,eng,80,24correctterminal.fs.tree-v1conf 100% · 397ms · $0.001 · 1544 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/assets`, `/proj/src`): ``` /proj/conf/index.log /proj/conf/notes.cfg /proj/report.cfg /proj/src/main.log /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv src/main.log assets/ cp conf/notes.cfg src/ cd src rm ../../proj/assets/main.log mv ../../proj/conf/notes.cfg ./ mv ../../proj/conf/index.log ../../proj/ mv ../../proj/index.log ../../proj/setup-1.cfg ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/report.cfg
/proj/setup-1.cfg
/proj/src/notes.cfg
/proj/todo.txtcorrectterminal.exit.chain-v1conf 100% · 602ms · $0.001 · 421 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh false && echo A || echo B test -f app.txt && echo C || echo D true && echo E || echo F grep -q basil notes.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
G
exit:1correctterminal.pipeline.predict-v1conf 100% · 2.6s · $0.000 · 349 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ned,legal,44,56
kim,sales,41,40
lou,legal,81,16
pam,ops,95,70
dev,sales,21,36
hal,hr,68,28
jon,sales,110,72
gus,sales,117,41
max,sales,102,24
bo,legal,53,14
eli,eng,7,65
ana,hr,83,64
```
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:
178correctterminal.exit.chain-v1conf 100% · 335ms · $0.001 · 454 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q amber notes.txt && echo C || echo D true && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
exit:1correctterminal.fs.tree-v1conf 99% · 386ms · $0.001 · 1343 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/build`): ``` /proj/assets/main.log /proj/build/notes.txt /proj/docs/util.md /proj/draft.txt /proj/setup.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p assets/src-4 cd assets/src-4 mkdir -p ../../../proj/docs/src-9 cd . cd . rm ../../../proj/setup.txt cd ../../../proj cp build/notes.txt assets/ mkdir -p docs/docs-7 cd docs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/main.log
/proj/assets/notes.txt
/proj/build/notes.txt
/proj/docs/util.md
/proj/draft.txtcorrectterminal.pipeline.predict-v1conf 100% · 517ms · $0.001 · 364 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` lou,hr,66,59 oli,legal,7,99 max,hr,77,89 ana,sales,43,63 bo,eng,47,60 fay,legal,24,54 gus,sales,14,16 pam,legal,81,93 jon,legal,72,58 cy,ops,43,92 dev,ops,54,74 eli,hr,4,38 hal,hr,15,69 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
gus,sales,14,16
ana,sales,43,63correctterminal.exit.chain-v1conf 100% · 533ms · $0.001 · 463 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B false && echo C || echo D true && echo E || echo F true && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
D
E
G
Z
exit:0correctterminal.fs.tree-v1conf 100% · 293ms · $0.001 · 1159 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/conf`, `/proj/docs`): ``` /proj/assets/todo.log /proj/conf/draft.md /proj/docs/index.log /proj/main.log /proj/setup.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv setup.md ./ cd conf mv ../../proj/setup.md ../../proj/index-8.cfg rm ../../proj/index-8.cfg cd ../../proj mv docs/index.log docs/setup-9.txt rm docs/setup-9.txt mv main.log assets/ cd . mv conf/draft.md docs/ touch todo-4.md cd docs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/main.log
/proj/assets/todo.log
/proj/docs/draft.md
/proj/todo-4.mdcorrectterminal.pipeline.predict-v1conf 100% · 354ms · $0.000 · 355 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
hal,hr,82,98
cy,eng,73,13
eli,sales,36,92
fay,legal,9,82
bo,legal,118,48
max,legal,46,67
pam,legal,34,67
ivy,sales,46,33
gus,legal,111,78
```
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:
318correctterminal.exit.chain-v1conf 100% · 872ms · $0.001 · 538 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 true && echo A || echo B true && echo C || echo D false && echo E || echo F test -f app.txt && echo G || echo H test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
F
G
Z
exit:0correctterminal.fs.tree-v1conf 100% · 321ms · $0.001 · 911 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/docs`): ``` /proj/assets/main.cfg /proj/assets/todo.txt /proj/index.log /proj/logs/util.cfg /proj/notes.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p conf-3 rm assets/todo.txt rm notes.md touch conf-3/main-7.txt mv conf-3/main-7.txt logs/ touch assets/draft-4.cfg touch conf-3/util-7.txt cd assets ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/draft-4.cfg
/proj/assets/main.cfg
/proj/conf-3/util-7.txt
/proj/index.log
/proj/logs/main-7.txt
/proj/logs/util.cfgcorrectterminal.pipeline.predict-v1conf 100% · 279ms · $0.000 · 354 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,sales,23,95 fay,legal,24,37 ivy,hr,52,63 ned,hr,50,62 lou,ops,83,67 gus,sales,49,20 jon,legal,16,50 eli,hr,108,69 pam,hr,86,61 kim,legal,46,13 max,hr,49,87 hal,legal,19,77 cy,eng,108,94 oli,ops,87,77 ``` What is the EXACT stdout of this command? ```sh grep -F ',ops,' people.csv | sort -t, -k3,3n | tail -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
lou,ops,83,67
oli,ops,87,77correctterminal.exit.chain-v1conf 100% · 349ms · $0.001 · 511 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 false && echo A || echo B true && echo C || echo D true && echo E || echo F test -f app.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
Z
exit:0correctterminal.fs.tree-v1conf 100% · 437ms · $0.002 · 1870 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/build`, `/proj/logs`): ``` /proj/build/draft.cfg /proj/build/todo.cfg /proj/logs/main.md /proj/setup.cfg /proj/util.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh touch logs/main-1.cfg mv build/todo.cfg build/ mkdir -p logs/src-5 cd logs/src-5 touch ../../../proj/logs/main-6.cfg touch ../../../proj/src/todo-3.md touch ../../../proj/build/report-7.log cd ../../../proj/build ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/draft.cfg
/proj/build/report-7.log
/proj/build/todo.cfg
/proj/logs/main-1.cfg
/proj/logs/main-6.cfg
/proj/logs/main.md
/proj/setup.cfg
/proj/src/todo-3.md
/proj/util.txtcorrectterminal.pipeline.predict-v1conf 100% · 342ms · $0.001 · 521 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` ana,eng,54,74 fay,hr,68,83 bo,eng,42,45 max,legal,78,35 hal,legal,101,84 ivy,sales,13,43 cy,eng,64,94 kim,legal,36,15 gus,ops,98,72 ``` What is the EXACT stdout of this command? ```sh grep -F ',legal,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
hal,101
kim,36
max,78correctterminal.exit.chain-v1conf 100% · 484ms · $0.001 · 396 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B true && echo C || echo D true && echo E || echo F test -f ghost.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
B
C
E
H
exit:1correctterminal.fs.tree-v1conf 100% · 302ms · $0.001 · 1290 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/conf`, `/proj/src`): ``` /proj/build/draft.cfg /proj/conf/index.cfg /proj/conf/setup.cfg /proj/notes.cfg /proj/util.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm util.log cd src touch ../../proj/build/draft-1.log cp ../../proj/notes.cfg ../../proj/build/ cd ../../proj/build mkdir -p ../../proj/conf/src-2 mv ../../proj/conf/setup.cfg ../../proj/src/ cd ../../proj mv build/notes.cfg build/report-5.md mv build/draft.cfg ./ rm build/report-5.md ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/build/draft-1.log
/proj/conf/index.cfg
/proj/draft.cfg
/proj/notes.cfg
/proj/src/setup.cfgcorrectterminal.pipeline.predict-v1conf 100% · 332ms · $0.000 · 322 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
hal,sales,39,85
ivy,hr,99,34
cy,ops,47,39
jon,hr,24,69
ned,legal,99,48
oli,ops,113,44
bo,hr,78,31
max,ops,39,75
eli,legal,89,89
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '{ s += $3 } END { print s }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
201correctterminal.exit.chain-v1conf 100% · 282ms · $0.000 · 312 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f data.txt && echo C || echo D grep -q coral notes.txt && echo E || echo F false && echo G || echo H test -f data.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
A
C
E
H
Z
exit:0correctterminal.fs.tree-v1conf 100% · 425ms · $0.001 · 1784 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/build`, `/proj/conf`): ``` /proj/build/todo.cfg /proj/conf/util.md /proj/index.log /proj/logs/main.log /proj/setup.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mkdir -p src-5 cd src-5 mkdir -p ../../proj/conf-2 cp ../../proj/setup.md ../../proj/logs/ cp ../../proj/logs/setup.md ../../proj/build/ cp ../../proj/index.log ./ cd ../../proj/build mkdir -p build-9 mv ../../proj/conf/util.md ./ cd ../../proj/conf-2 ``` 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.md
/proj/build/todo.cfg
/proj/build/util.md
/proj/index.log
/proj/logs/main.log
/proj/logs/setup.md
/proj/setup.md
/proj/src-5/index.logcorrectterminal.fs.tree-v1conf 100% · 1.2s · $0.002 · 1904 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/build`, `/proj/assets`): ``` /proj/build/index.log /proj/build/util.txt /proj/docs/report.txt /proj/draft.md /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 mkdir -p docs/conf-2 cd docs/conf-2 mv ../../../proj/main.cfg ./ rm ../../../proj/draft.md cd ../../../proj/docs touch ../../proj/assets/index-1.cfg mv ../../proj/build/util.txt ../../proj/assets/ cp conf-2/main.cfg ../../proj/build/ cp ../../proj/build/index.log ../../proj/ mv ../../proj/build/main.cfg ../../proj/ cd ../../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/index-1.cfg
/proj/assets/util.txt
/proj/build/index.log
/proj/docs/conf-2/main.cfg
/proj/docs/report.txt
/proj/index.log
/proj/main.cfgcorrectterminal.pipeline.predict-v1conf 100% · 737ms · $0.001 · 588 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` gus,legal,85,10 pam,ops,14,13 ned,eng,96,38 eli,ops,78,33 kim,hr,33,10 hal,sales,120,54 ana,sales,64,51 max,hr,63,55 cy,eng,108,28 bo,eng,91,79 fay,hr,96,37 ``` What is the EXACT stdout of this command? ```sh grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
fay,96
kim,33correctterminal.exit.chain-v1conf 100% · 303ms · $0.001 · 385 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, amber (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B test -f ghost.txt && echo C || echo D false && echo E || echo F true && 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:1correctterminal.pipeline.predict-v1anchorconf 100% · 2.3s · $0.001 · 424 tok
model answer:
eli,eng,60,55
dev,eng,81,95
cy,eng,115,45correctterminal.exit.chain-v1anchorconf 100% · 309ms · $0.000 · 348 tok
model answer:
B
D
E
G
exit:1correctterminal.fs.tree-v1anchorconf 100% · 627ms · $0.001 · 1598 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.cfgcorrectterminal.pipeline.predict-v1anchorconf 100% · 627ms · $0.000 · 281 tok
model answer:
1vision ocr 30/30 correct
correctvision.ocr.table-read-v1conf 100% · 411ms · $0.001 · 259 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:
119correctvision.ocr.code-hunt-v1conf 98% · 637ms · $0.001 · 431 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:
YPP9VKWUcorrectvision.ocr.code-hunt-v1conf 99% · 1.7s · $0.001 · 637 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:
ECC47XUcorrectvision.ocr.table-read-v1conf 100% · 335ms · $0.001 · 305 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:
29correctvision.ocr.code-hunt-v1conf 99% · 4.6s · $0.001 · 271 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:
97XHR3correctvision.ocr.table-read-v1conf 100% · 362ms · $0.001 · 317 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:
55correctvision.ocr.table-read-v1conf 100% · 251ms · $0.001 · 343 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:
140correctvision.ocr.code-hunt-v1conf 99% · 682ms · $0.001 · 264 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:
CCDTE3Kcorrectvision.ocr.table-read-v1conf 100% · 472ms · $0.001 · 254 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
49correctvision.ocr.code-hunt-v1conf 99% · 320ms · $0.001 · 240 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:
TDXPKCcorrectvision.ocr.code-hunt-v1conf 99% · 450ms · $0.001 · 411 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:
7X4EDDcorrectvision.ocr.table-read-v1conf 100% · 309ms · $0.001 · 321 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:
132correctvision.ocr.table-read-v1conf 100% · 650ms · $0.001 · 267 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:
45correctvision.ocr.code-hunt-v1conf 98% · 634ms · $0.001 · 575 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:
RRMEC7Ecorrectvision.ocr.table-read-v1conf 100% · 680ms · $0.001 · 308 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:
94correctvision.ocr.code-hunt-v1conf 99% · 1.2s · $0.001 · 343 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:
VNWANJRcorrectvision.ocr.table-read-v1conf 100% · 379ms · $0.001 · 294 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:
82correctvision.ocr.code-hunt-v1conf 98% · 282ms · $0.001 · 573 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:
RUEFU9W9correctvision.ocr.table-read-v1conf 100% · 718ms · $0.001 · 245 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:
88correctvision.ocr.code-hunt-v1conf 99% · 616ms · $0.001 · 403 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:
X97TJHPFcorrectvision.ocr.table-read-v1conf 100% · 305ms · $0.001 · 330 tok
question
The image shows a table with columns ID, QTY, GRADE. Compute the MAXIMUM of QTY over the rows whose GRADE is "D". Answer with the number only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
78correctvision.ocr.code-hunt-v1conf 99% · 319ms · $0.001 · 293 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:
KNCWF43correctvision.ocr.table-read-v1conf 100% · 258ms · $0.001 · 260 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:
93correctvision.ocr.code-hunt-v1conf 98% · 367ms · $0.001 · 368 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:
VD3KYCcorrectvision.ocr.code-hunt-v1conf 97% · 380ms · $0.001 · 673 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:
ACRHADDcorrectvision.ocr.table-read-v1conf 100% · 698ms · $0.001 · 300 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:
88correctvision.ocr.code-hunt-v1anchorconf 99% · 320ms · $0.001 · 552 tok
model answer:
VX7993Dcorrectvision.ocr.table-read-v1anchorconf 100% · 303ms · $0.001 · 292 tok
model answer:
15correctvision.ocr.code-hunt-v1anchorconf 99% · 997ms · $0.001 · 421 tok
model answer:
YH9E4AWPcorrectvision.ocr.table-read-v1anchorconf 100% · 559ms · $0.001 · 209 tok
model answer:
25Run history
- 2026-08-05v0.2.0index_fit812
- 2026-08-05v0.2.0index_fit812
- 2026-08-05v0.2.0index_fit812
- 2026-08-05v0.2.0index_fit813
- 2026-08-05v0.2.0index_fit813
- 2026-08-05v0.2.0index_fit815
- 2026-08-05v0.2.0index_fit816
- 2026-08-05v0.2.0index_fit794