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Morph: Morph V3 Fast
morph/morph-v3-fast · morph · context 81 920 · in $0.800/1M · out $1.20/1M
Global Index
368
95% CI [347–390] · index v0.2.0
Per-domain scores
| Domain | Score (95% CI) | Accuracy (IRT) | Consistency | Calibration | Contam. Δ | p50 | $/1k | |
|---|---|---|---|---|---|---|---|---|
| agentic | 268 [194–342] | 0.085 | — | — | 0.000 | 261ms | $1.25 | |
| code | 322 [295–349] | 0.045 | 0.94 | 0.04 | 0.000 | 253ms | $0.304 | |
| instruction following | 336 [307–364] | 0.047 | 1.00 | 0.08 | 0.000 | 249ms | $0.186 | |
| knowledge | 646 [510–781] | 0.421 | 1.00 | 0.93 | 0.000 | 259ms | $0.178 | |
| math | 299 [281–317] | 0.026 | 0.89 | 0.00 | 0.000 | 254ms | $0.270 | |
| multilingual | 314 [297–331] | 0.024 | 1.00 | 0.00 | 0.000 | 250ms | $0.206 | |
| reasoning | 389 [349–429] | 0.092 | 1.00 | 0.33 | 0.000 | 249ms | $0.294 | |
| terminal | 372 [332–411] | 0.057 | 1.00 | — | 0.000 | 258ms | $0.410 |
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 0/30 correct
truncatedagentic.tools.ledger-v1conf — · 253ms · $0.039 · 32256 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- bravo: $316
- echo: $452
- lima: $481
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $225 from "echo" to "bravo"
2. pay $406 from "bravo" to "lima"
3. pay $173 from "lima" to "bravo"
4. pay $411 from "echo" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.context-load-v1conf — · 898ms · $0.038 · 30218 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 (122 records, format: id|customer|region|item|qty|status):
```
1513|harbor|south|valve|77|pending
1591|juno|south|gasket|27|shipped
1826|ember|south|pump|20|pending
1540|fulton|north|cable|51|held
1662|fulton|east|valve|89|paid
1779|ionic|north|cable|54|paid
1496|dorian|west|pump|70|paid
1450|acme|west|frame|10|pending
1795|birch|north|pump|98|paid
1676|juno|north|valve|48|shipped
1673|harbor|south|pump|58|pending
1675|acme|east|pump|54|paid
1764|cobalt|south|valve|40|held
1443|fulton|south|frame|58|shipped
1656|birch|west|pump|56|held
1734|ionic|east|pump|72|paid
1747|gale|south|valve|85|paid
1635|juno|west|cable|57|held
1672|acme|east|pump|48|paid
1719|dorian|west|panel|34|held
1728|fulton|east|sensor|31|pending
1430|fulton|south|frame|49|shipped
1680|ember|west|sensor|84|held
1674|ember|south|rotor|61|pending
1473|ember|south|valve|71|pending
1625|acme|east|valve|76|shipped
1846|acme|south|gasket|79|paid
1789|acme|north|gasket|82|shipped
1865|harbor|east|panel|13|held
1532|juno|north|cable|44|held
1695|ionic|east|sensor|39|pending
1627|dorian|south|frame|47|paid
1612|fulton|west|gasket|92|shipped
1689|dorian|east|panel|35|held
1561|dorian|south|cable|36|pending
1569|ionic|south|sensor|84|paid
1412|fulton|south|cable|89|pending
1753|fulton|north|sensor|59|held
1816|acme|north|gasket|69|held
1878|fulton|south|cable|82|paid
1831|ionic|east|valve|28|held
1436|fulton|south|valve|33|pending
1650|ionic|east|valve|70|paid
1463|juno|west|gasket|82|paid
1784|fulton|south|cable|40|pending
1560|cobalt|north|gasket|62|paid
1579|gale|west|gasket|28|held
1860|harbor|east|panel|42|held
1557|dorian|south|valve|54|held
1417|fulton|north|frame|46|pending
1801|ionic|west|valve|51|pending
1770|ionic|east|sensor|10|paid
1491|dorian|south|valve|11|shipped
1780|ember|west|valve|80|pending
1531|ember|south|gasket|84|held
1724|ember|west|cable|99|pending
1705|ember|west|cable|63|shipped
1867|fulton|west|gasket|46|held
1421|fulton|south|frame|15|held
1707|gale|north|cable|62|paid
1503|cobalt|north|valve|74|held
1838|birch|east|sensor|13|shipped
1547|dorian|south|valve|14|held
1515|harbor|west|valve|34|held
1669|ionic|south|gasket|31|paid
1746|cobalt|south|pump|68|paid
1671|ionic|north|cable|78|held
1402|fulton|south|pump|26|pending
1788|harbor|east|valve|74|paid
1807|ember|south|rotor|94|paid
1683|dorian|south|cable|92|paid
1802|harbor|east|sensor|58|pending
1647|ember|south|pump|66|paid
1848|dorian|south|cable|67|shipped
1723|juno|west|frame|46|held
1523|fulton|south|panel|86|held
1410|fulton|south|rotor|80|paid
1428|fulton|north|sensor|74|pending
1755|juno|east|panel|95|paid
1629|dorian|north|gasket|96|shipped
1640|fulton|south|cable|38|pending
1823|harbor|south|gasket|15|paid
1657|gale|east|valve|61|pending
1883|cobalt|north|cable|52|shipped
1445|harbor|south|panel|69|paid
1526|dorian|west|pump|83|paid
1407|fulton|west|panel|15|pending
1529|ionic|west|panel|70|pending
1776|acme|west|panel|47|shipped
1509|fulton|south|frame|39|pending
1844|gale|east|gasket|38|pending
1712|juno|south|gasket|71|pending
1487|fulton|south|pump|72|pending
1631|cobalt|north|valve|50|pending
1854|fulton|north|gasket|37|shipped
1456|harbor|west|panel|74|paid
1810|ionic|south|rotor|58|paid
1427|fulton|south|rotor|28|pending
1618|ember|north|sensor|46|pending
1874|gale|west|cable|60|shipped
1608|birch|south|sensor|82|paid
1518|harbor|west|rotor|56|shipped
1858|birch|east|pump|37|paid
1553|fulton|west|gasket|32|shipped
1576|fulton|north|rotor|93|shipped
1626|cobalt|south|valve|87|paid
1438|fulton|west|sensor|91|pending
1752|cobalt|south|valve|48|pending
1702|juno|north|frame|56|held
1562|birch|west|frame|81|held
1480|juno|north|cable|40|pending
1663|gale|south|panel|64|pending
1536|harbor|north|pump|98|shipped
1467|ember|south|panel|79|shipped
1492|ember|south|rotor|97|pending
1602|ember|east|panel|29|held
1595|cobalt|east|sensor|86|pending
1613|acme|south|valve|12|paid
1711|ionic|west|frame|55|held
1761|birch|south|rotor|19|shipped
1739|ionic|north|rotor|95|paid
1586|ionic|south|frame|29|pending
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.triage-v1conf — · 253ms · $0.039 · 32202 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 8, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → haddad
- auth → novak
- data → tanaka
INCIDENTS:
1. "API latency spikes" (category: infra, priority 9)
2. "API latency spikes" (category: infra, priority 9)
3. "records missing after import" (category: data, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.triage-v1conf — · 349ms · $0.001 · 268 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → dubois
- auth → tanaka
- data → novak
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 9)
2. "webhooks not delivered" (category: infra, priority 9)
3. "export file corrupted" (category: data, priority 8)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.deploy-v1conf — · 272ms · $0.000 · 70 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- gateway: search
- auth-svc: (none)
- search: auth-svc
- billing: 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 "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:
(none extracted)wrongagentic.tools.ledger-v1conf — · 252ms · $0.001 · 399 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: $338
- bravo: $750
- delta: $133
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $389 from "bravo" to "delta"
2. pay $562 from "bravo" to "delta"
3. pay $175 from "bravo" to "delta"
4. pay $395 from "bravo" to "delta"
5. pay $312 from "bravo" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.triage-v1conf — · 286ms · $0.001 · 384 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- infra → tanaka
- data → okafor
- payments → dubois
INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 9)
2. "dashboard shows stale numbers" (category: data, priority 3)
3. "webhooks not delivered" (category: infra, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.context-load-v1conf — · 258ms · $0.009 · 5696 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 (139 records, format: id|customer|region|item|qty|status):
```
1454|harbor|west|valve|62|paid
1274|birch|north|cable|93|held
1384|harbor|north|gasket|20|shipped
1471|fulton|north|panel|42|pending
1400|dorian|west|cable|44|shipped
1675|birch|east|cable|19|held
1673|fulton|east|gasket|11|paid
1267|birch|north|frame|64|pending
1823|ionic|west|frame|85|pending
1750|ionic|south|frame|16|pending
1733|fulton|east|frame|52|shipped
1695|cobalt|south|rotor|71|shipped
1835|juno|west|sensor|58|paid
1793|ember|south|rotor|34|paid
1494|acme|south|sensor|89|paid
1482|ember|south|frame|10|shipped
1630|birch|south|pump|38|shipped
1819|juno|north|sensor|49|pending
1499|acme|east|pump|69|paid
1447|fulton|east|pump|86|pending
1746|juno|east|rotor|12|pending
1578|gale|east|sensor|22|paid
1589|dorian|north|gasket|81|shipped
1328|birch|west|pump|58|held
1300|fulton|south|panel|55|pending
1421|gale|west|cable|71|paid
1390|ember|north|valve|79|shipped
1544|cobalt|north|rotor|55|shipped
1314|ember|east|pump|32|held
1278|birch|north|pump|40|pending
1739|juno|west|rotor|32|pending
1617|cobalt|west|frame|28|paid
1762|ionic|north|cable|85|shipped
1800|cobalt|west|frame|98|shipped
1688|gale|west|panel|76|shipped
1551|harbor|south|valve|17|paid
1514|birch|south|panel|80|pending
1410|dorian|south|pump|54|shipped
1327|gale|east|frame|47|pending
1342|dorian|south|gasket|43|shipped
1582|ember|east|rotor|62|shipped
1508|birch|east|valve|49|paid
1361|cobalt|west|gasket|42|paid
1437|birch|north|rotor|16|held
1354|ember|north|pump|85|pending
1280|birch|east|sensor|96|pending
1379|cobalt|west|sensor|92|pending
1787|fulton|south|cable|96|pending
1415|juno|south|frame|12|held
1813|birch|west|panel|61|pending
1672|acme|north|sensor|12|paid
1779|ionic|south|gasket|87|shipped
1386|acme|south|rotor|95|paid
1829|ionic|east|gasket|92|shipped
1580|harbor|north|gasket|66|held
1310|gale|north|gasket|22|paid
1427|birch|north|pump|43|held
1533|dorian|west|pump|25|pending
1374|harbor|north|rotor|84|shipped
1740|cobalt|south|panel|91|shipped
1449|ionic|east|frame|22|pending
1651|fulton|west|rotor|43|paid
1611|juno|south|frame|78|shipped
1785|cobalt|north|sensor|34|shipped
1540|dorian|east|valve|71|held
1335|dorian|north|cable|76|pending
1451|juno|east|valve|88|shipped
1555|ionic|north|pump|96|held
1774|cobalt|south|gasket|31|held
1286|birch|north|sensor|80|shipped
1770|cobalt|west|cable|16|held
1257|birch|north|sensor|81|pending
1571|acme|south|valve|37|shipped
1263|birch|south|frame|57|pending
1406|fulton|west|rotor|39|held
1726|ember|north|pump|70|held
1305|ember|west|pump|96|held
1431|juno|east|sensor|49|paid
1320|juno|west|valve|65|shipped
1585|fulton|south|panel|55|paid
1308|cobalt|north|cable|74|paid
1464|fulton|south|cable|44|held
1558|harbor|west|sensor|75|held
1715|fulton|south|cable|95|pending
1772|gale|south|frame|37|held
1599|harbor|north|cable|76|paid
1397|ember|east|panel|67|paid
1520|ember|north|rotor|83|paid
1806|ember|north|valve|37|paid
1650|ember|south|pump|50|held
1605|juno|west|panel|25|held
1719|cobalt|west|cable|51|pending
1442|ionic|north|cable|99|pending
1489|gale|west|valve|26|paid
1448|ionic|north|valve|91|paid
1588|cobalt|west|panel|56|paid
1615|harbor|south|pump|79|held
1527|gale|east|sensor|92|pending
1702|harbor|east|sensor|29|pending
1273|birch|west|rotor|89|pending
1668|acme|south|pump|92|shipped
1556|harbor|west|cable|36|held
1476|ionic|north|rotor|29|paid
1607|ember|south|pump|34|paid
1553|fulton|west|sensor|14|pending
1334|ionic|south|gasket|19|pending
1618|ionic|north|valve|97|shipped
1708|fulton|west|gasket|46|paid
1350|harbor|east|panel|67|paid
1368|cobalt|west|rotor|45|held
1376|fulton|west|cable|26|shipped
1311|ionic|north|pump|28|paid
1293|juno|north|sensor|75|paid
1450|ember|west|frame|53|held
1570|harbor|south|panel|94|shipped
1637|ember|north|frame|72|shipped
1606|fulton|south|rotor|35|paid
1663|ionic|east|gasket|28|pending
1683|dorian|west|pump|45|paid
1697|ember|east|sensor|30|held
1768|acme|west|cable|10|shipped
1349|cobalt|east|valve|36|held
1782|ionic|south|pump|20|shipped
1436|cobalt|north|valve|54|paid
1643|acme|north|pump|92|pending
1756|ionic|north|gasket|40|paid
1592|fulton|east|valve|24|shipped
1459|juno|north|sensor|51|held
1565|juno|west|pump|47|pending
1658|dorian|south|pump|73|held
1541|gale|west|rotor|81|paid
1444|harbor|east|rotor|70|pending
1783|ionic|south|rotor|82|paid
1562|harbor|south|sensor|31|pending
1677|gale|north|pump|23|paid
1266|birch|north|frame|22|shipped
1623|harbor|north|panel|70|shipped
1507|dorian|north|rotor|17|pending
1501|juno|north|valve|87|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "birch" AND region = "north" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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:
(none extracted)truncatedagentic.tools.deploy-v1conf — · 257ms · $0.039 · 32367 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- notifier: reports
- reports: (none)
- billing: reports
- gateway: 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 "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:
(none extracted)truncatedagentic.tools.context-load-v1conf — · 263ms · $0.038 · 29599 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 (158 records, format: id|customer|region|item|qty|status):
```
1562|birch|west|gasket|72|paid
1529|harbor|east|panel|61|pending
1615|gale|south|gasket|13|pending
1534|birch|south|sensor|95|paid
1994|dorian|south|valve|64|shipped
2062|dorian|north|sensor|49|held
1874|birch|west|gasket|52|pending
1904|ember|south|rotor|83|paid
2054|dorian|south|panel|18|held
1836|dorian|north|rotor|12|shipped
1660|juno|east|sensor|54|pending
1573|ember|north|panel|50|held
1865|cobalt|east|rotor|53|pending
1578|juno|west|frame|23|shipped
1798|birch|south|sensor|87|pending
1658|ember|west|cable|82|held
1842|gale|south|pump|29|held
1913|acme|east|pump|63|shipped
1978|birch|east|rotor|91|held
2027|gale|west|panel|94|shipped
1806|ember|north|gasket|29|held
1858|fulton|south|cable|54|shipped
2034|birch|south|rotor|50|paid
1569|juno|north|valve|92|paid
1950|juno|north|cable|29|pending
1947|cobalt|east|cable|32|held
1738|fulton|east|pump|11|pending
1777|harbor|east|panel|63|paid
1699|dorian|north|valve|65|shipped
1489|ionic|east|valve|33|shipped
1945|acme|east|rotor|32|paid
2068|cobalt|west|sensor|78|held
1482|ionic|south|panel|18|pending
2059|ember|south|frame|19|pending
1543|gale|east|panel|54|shipped
1494|ionic|east|sensor|41|pending
1787|gale|west|cable|57|pending
2009|acme|west|frame|14|paid
1989|acme|north|gasket|95|shipped
2017|gale|east|valve|90|shipped
1812|dorian|north|cable|84|shipped
1971|birch|west|cable|75|pending
1720|juno|south|sensor|32|pending
1750|cobalt|south|sensor|62|pending
1727|dorian|east|panel|77|held
1832|harbor|east|cable|12|held
1505|ionic|east|frame|86|held
1817|dorian|south|pump|89|shipped
1797|ionic|north|frame|47|paid
1644|ember|south|pump|83|shipped
2015|harbor|south|pump|78|pending
1667|birch|west|rotor|25|held
1952|acme|north|pump|14|held
1694|ionic|north|cable|73|paid
1516|ionic|east|frame|70|pending
2047|dorian|north|frame|48|held
1472|ionic|east|pump|92|pending
1959|dorian|east|gasket|27|pending
1501|ionic|west|valve|65|pending
1762|birch|south|rotor|46|paid
1847|juno|north|frame|80|paid
1518|ionic|south|sensor|68|pending
1960|cobalt|west|frame|69|paid
2066|acme|north|sensor|72|paid
1756|birch|east|frame|34|pending
2040|ionic|north|pump|36|held
1597|fulton|east|panel|82|shipped
1706|acme|east|valve|64|pending
1981|gale|north|gasket|88|paid
1508|ionic|west|panel|59|pending
1688|harbor|east|pump|62|shipped
1937|harbor|west|gasket|65|held
1969|birch|north|frame|34|shipped
1781|acme|north|gasket|70|pending
1925|fulton|south|panel|95|held
1987|fulton|south|gasket|74|held
1803|ember|south|rotor|11|pending
1700|harbor|east|rotor|68|pending
1629|fulton|east|sensor|39|held
1537|ember|south|cable|58|shipped
1631|fulton|east|gasket|45|pending
1824|cobalt|south|valve|38|held
1827|harbor|south|rotor|44|pending
1725|ember|south|frame|86|held
1708|dorian|west|panel|41|held
1638|harbor|north|panel|37|pending
1917|ember|east|panel|60|paid
1774|birch|west|panel|79|held
2031|cobalt|south|frame|18|shipped
1864|fulton|north|pump|93|shipped
1852|dorian|south|cable|88|paid
2020|fulton|east|frame|23|paid
1585|gale|east|cable|59|pending
2033|dorian|west|panel|83|pending
1791|ionic|north|cable|96|held
1953|ember|north|valve|64|shipped
1869|ember|north|sensor|17|pending
1901|juno|east|cable|16|held
1887|cobalt|north|pump|62|held
1779|acme|north|sensor|88|shipped
2010|dorian|north|panel|54|held
1583|fulton|west|valve|55|held
1588|fulton|west|cable|62|shipped
1918|cobalt|east|pump|78|paid
1713|birch|south|pump|59|shipped
1474|ionic|east|sensor|66|held
1693|fulton|north|cable|70|held
1965|birch|north|pump|98|pending
1741|gale|north|gasket|60|pending
1829|gale|north|sensor|27|held
1506|ionic|east|sensor|27|pending
1768|harbor|west|sensor|54|shipped
1550|cobalt|east|gasket|26|paid
1679|birch|east|gasket|21|paid
1880|dorian|west|pump|10|paid
1894|gale|east|frame|18|pending
1749|acme|north|sensor|73|paid
1527|juno|north|pump|20|pending
1533|ember|south|cable|39|held
1663|gale|east|panel|87|paid
2022|acme|west|frame|52|pending
1548|ember|east|pump|72|held
1473|ionic|south|frame|86|pending
1728|harbor|north|panel|92|shipped
1941|acme|north|panel|72|paid
2001|cobalt|west|valve|55|paid
2046|harbor|east|gasket|88|paid
1912|acme|south|pump|31|shipped
1646|birch|north|rotor|20|paid
1653|ionic|west|valve|75|paid
1626|juno|north|rotor|62|shipped
2006|dorian|south|panel|95|paid
1476|ionic|east|cable|80|pending
1604|fulton|east|panel|64|held
1839|fulton|south|valve|53|paid
1594|fulton|west|sensor|80|paid
1731|cobalt|west|rotor|89|shipped
2018|birch|east|gasket|75|paid
1931|harbor|north|panel|69|held
2036|ember|west|valve|86|pending
1748|gale|east|sensor|58|pending
1645|harbor|west|panel|36|paid
1567|ember|west|pump|60|pending
1591|gale|west|panel|89|pending
1909|harbor|west|pump|96|pending
1557|harbor|south|cable|47|held
1510|ionic|east|pump|95|paid
1681|ionic|north|cable|16|held
1551|harbor|west|panel|83|pending
1523|ionic|east|frame|97|shipped
1734|juno|south|frame|11|pending
1621|ionic|south|pump|63|paid
1936|juno|west|rotor|20|paid
1715|gale|north|valve|70|shipped
1673|cobalt|east|sensor|81|pending
2042|harbor|south|sensor|44|pending
1611|acme|south|sensor|34|shipped
1592|birch|west|cable|26|paid
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.ledger-v1conf — · 261ms · $0.001 · 234 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: $349
- bravo: $178
- alpha: $720
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $502 from "bravo" to "kilo"
2. pay $530 from "bravo" to "alpha"
3. pay $595 from "alpha" to "bravo"
4. pay $544 from "bravo" 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:
(none extracted)wrongagentic.tools.triage-v1conf — · 305ms · $0.001 · 338 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 9, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → novak
- data → haddad
- infra → chen
INCIDENTS:
1. "refund double-charged" (category: payments, priority 7)
2. "refund double-charged" (category: payments, priority 7)
3. "webhooks not delivered" (category: infra, priority 9)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.deploy-v1conf — · 248ms · $0.000 · 87 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: search
- auth-svc: search
- notifier: auth-svc, search
- search: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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:
(none extracted)wrongagentic.tools.ledger-v1conf — · 258ms · $0.001 · 174 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: $602
- bravo: $565
- lima: $605
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $411 from "bravo" to "lima"
2. pay $531 from "bravo" to "lima"
3. pay $139 from "lima" to "bravo"
4. pay $156 from "delta" to "bravo"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.context-load-v1conf — · 333ms · $0.038 · 29001 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 (191 records, format: id|customer|region|item|qty|status):
```
1852|ember|north|gasket|51|paid
1744|harbor|north|frame|93|shipped
1360|dorian|west|sensor|12|pending
1766|dorian|south|frame|10|shipped
1322|cobalt|west|panel|83|shipped
1291|fulton|east|frame|70|shipped
1578|acme|north|frame|18|shipped
1461|fulton|west|gasket|42|paid
1376|acme|south|sensor|82|shipped
1685|birch|east|sensor|62|pending
1810|dorian|south|gasket|22|paid
1568|dorian|south|rotor|22|shipped
1428|acme|north|sensor|22|held
1530|birch|north|pump|38|pending
1600|ember|south|panel|17|held
1141|harbor|west|frame|15|pending
1743|ionic|north|sensor|56|paid
1485|dorian|east|frame|37|shipped
1741|birch|east|rotor|66|held
1857|ember|east|cable|42|held
1765|juno|north|frame|40|held
1225|dorian|north|panel|55|shipped
1603|harbor|north|panel|10|shipped
1877|harbor|north|pump|77|paid
1163|harbor|east|panel|91|pending
1564|gale|north|panel|61|paid
1871|acme|north|gasket|56|shipped
1909|birch|west|gasket|18|shipped
1375|ember|north|panel|29|pending
1401|cobalt|north|gasket|89|held
1415|fulton|east|rotor|87|pending
1660|fulton|east|valve|94|held
1729|gale|north|pump|47|shipped
1713|acme|south|frame|64|held
1817|harbor|north|valve|23|pending
1839|cobalt|west|gasket|16|paid
1325|ionic|north|panel|65|held
1189|harbor|west|rotor|26|pending
1575|ionic|west|frame|11|held
1391|gale|north|valve|88|paid
1747|cobalt|east|sensor|76|pending
1702|juno|west|frame|11|pending
1891|acme|west|valve|93|shipped
1558|acme|east|sensor|28|held
1640|ionic|north|rotor|47|held
1379|ember|north|pump|69|held
1846|cobalt|south|frame|44|pending
1404|acme|west|sensor|91|pending
1333|harbor|south|frame|47|held
1548|acme|east|rotor|79|held
1890|ionic|north|gasket|33|pending
1864|harbor|north|cable|59|pending
1730|acme|north|pump|87|paid
1354|ember|north|panel|11|shipped
1691|fulton|west|valve|83|paid
1825|dorian|east|cable|10|paid
1469|acme|south|panel|17|paid
1386|ember|east|frame|19|shipped
1806|gale|west|frame|22|held
1301|dorian|north|gasket|64|held
1176|harbor|west|frame|46|pending
1255|fulton|south|panel|18|shipped
1242|fulton|south|sensor|66|paid
1349|cobalt|north|rotor|39|held
1481|ionic|west|rotor|68|pending
1274|fulton|east|frame|12|pending
1553|birch|north|cable|27|shipped
1311|fulton|east|valve|33|shipped
1569|cobalt|west|sensor|35|held
1519|ember|west|valve|85|shipped
1525|birch|south|panel|49|pending
1924|cobalt|west|gasket|11|held
1318|ember|east|frame|70|held
1281|acme|east|pump|64|held
1665|cobalt|north|gasket|28|pending
1308|ember|north|frame|24|pending
1628|harbor|west|frame|53|held
1157|harbor|north|rotor|83|pending
1648|juno|north|rotor|30|paid
1210|harbor|east|sensor|25|shipped
1489|fulton|west|cable|79|paid
1183|harbor|west|rotor|71|paid
1170|harbor|west|rotor|32|shipped
1657|acme|north|panel|39|pending
1412|ember|east|cable|17|held
1419|cobalt|north|rotor|82|held
1921|gale|south|valve|93|paid
1262|fulton|south|gasket|65|pending
1881|birch|west|valve|82|held
1368|acme|west|panel|27|pending
1778|harbor|west|valve|97|shipped
1268|fulton|west|panel|79|shipped
1248|ember|south|panel|13|held
1711|acme|south|frame|16|held
1193|harbor|north|valve|58|pending
1156|harbor|west|cable|82|pending
1783|cobalt|east|sensor|72|held
1182|harbor|south|frame|23|pending
1514|acme|west|panel|16|shipped
1719|ember|north|valve|50|pending
1456|fulton|east|cable|88|paid
1771|birch|west|cable|11|shipped
1931|harbor|west|pump|65|shipped
1231|gale|north|gasket|63|held
1696|dorian|east|pump|47|pending
1405|birch|west|frame|44|pending
1799|harbor|south|frame|40|pending
1286|ionic|north|rotor|34|pending
1563|ember|east|gasket|59|held
1293|juno|south|panel|70|paid
1625|cobalt|north|valve|79|paid
1758|ionic|south|gasket|72|pending
1635|fulton|north|rotor|38|paid
1476|gale|east|pump|44|pending
1614|dorian|west|cable|36|pending
1195|harbor|west|cable|15|held
1752|dorian|west|valve|21|paid
1346|birch|south|cable|81|pending
1501|gale|north|valve|63|held
1853|birch|east|cable|76|held
1424|cobalt|south|frame|73|pending
1336|ember|west|pump|92|paid
1219|birch|west|cable|14|held
1705|dorian|west|panel|27|held
1149|harbor|west|cable|41|shipped
1898|cobalt|east|frame|91|shipped
1672|ionic|south|panel|43|held
1679|cobalt|north|sensor|79|shipped
1434|ember|south|sensor|69|paid
1365|juno|west|gasket|61|shipped
1507|dorian|west|frame|56|shipped
1678|acme|north|sensor|94|pending
1621|harbor|west|rotor|78|paid
1146|harbor|north|valve|58|pending
1444|acme|south|valve|72|shipped
1206|birch|west|sensor|17|pending
1642|ionic|east|valve|27|shipped
1343|gale|west|frame|31|shipped
1731|harbor|east|frame|71|shipped
1395|gale|west|pump|44|held
1652|fulton|west|cable|99|shipped
1490|ionic|east|pump|19|paid
1607|ionic|south|pump|49|pending
1835|ionic|north|cable|66|pending
1317|acme|east|panel|46|paid
1523|dorian|north|valve|55|pending
1776|gale|west|rotor|57|shipped
1662|dorian|east|cable|56|shipped
1626|acme|south|sensor|22|pending
1332|gale|east|pump|76|pending
1484|gale|south|valve|60|held
1377|fulton|east|gasket|81|held
1686|ember|north|valve|34|paid
1216|harbor|north|rotor|73|paid
1915|gale|south|rotor|77|held
1793|cobalt|east|rotor|36|held
1831|acme|east|frame|97|held
1677|ember|north|cable|98|held
1202|birch|north|panel|66|pending
1542|gale|east|gasket|86|shipped
1736|ember|east|pump|19|pending
1631|gale|west|pump|36|paid
1161|harbor|west|gasket|27|held
1593|fulton|south|cable|51|pending
1762|harbor|west|gasket|60|pending
1608|ember|east|valve|94|pending
1452|ember|west|rotor|86|paid
1340|gale|west|frame|76|paid
1576|dorian|east|pump|68|shipped
1722|harbor|north|frame|20|paid
1467|cobalt|south|pump|97|paid
1238|juno|north|pump|21|shipped
1162|harbor|west|valve|26|pending
1438|ember|west|sensor|90|pending
1905|fulton|south|pump|73|held
1536|ember|south|valve|18|held
1294|ionic|south|cable|18|pending
1750|harbor|east|cable|42|paid
1307|fulton|west|pump|69|pending
1886|cobalt|west|rotor|35|paid
1397|juno|east|panel|69|held
1658|cobalt|south|panel|44|shipped
1584|harbor|east|panel|22|paid
1495|fulton|west|cable|31|pending
1832|ionic|east|pump|18|pending
1446|ember|east|rotor|87|shipped
1822|acme|south|cable|30|paid
1739|birch|west|frame|55|paid
1786|harbor|east|frame|26|shipped
1589|ionic|north|gasket|59|pending
1533|acme|south|gasket|25|held
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 54, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.triage-v1conf — · 514ms · $0.039 · 32186 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- data → rivera
- infra → chen
- payments → novak
INCIDENTS:
1. "records missing after import" (category: data, priority 5)
2. "API latency spikes" (category: infra, priority 8)
3. "API latency spikes" (category: infra, priority 8)
4. "dashboard shows stale numbers" (category: data, priority 6)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.context-load-v1conf — · 239ms · $0.038 · 29586 tok
question
You are an order-operations agent working strictly through tool calls.
TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)
ORDER LEDGER (157 records, format: id|customer|region|item|qty|status):
```
1500|acme|south|pump|78|pending
1514|juno|north|frame|25|shipped
1287|gale|west|pump|44|pending
1325|ember|west|cable|80|paid
1694|ember|west|pump|43|shipped
1342|harbor|east|gasket|80|pending
1502|acme|east|pump|62|shipped
1123|gale|east|pump|67|pending
1619|birch|south|rotor|89|pending
1529|harbor|east|sensor|34|shipped
1206|cobalt|east|rotor|50|shipped
1278|birch|east|gasket|23|held
1218|fulton|south|gasket|55|paid
1430|harbor|north|cable|73|paid
1115|gale|east|frame|60|pending
1522|juno|north|frame|42|held
1508|juno|south|panel|72|shipped
1659|ionic|north|sensor|35|pending
1253|birch|west|valve|47|paid
1536|acme|north|panel|60|held
1127|gale|north|pump|78|pending
1688|dorian|south|gasket|31|pending
1684|acme|west|cable|77|shipped
1197|acme|west|sensor|19|paid
1146|gale|north|frame|70|pending
1701|ember|north|frame|14|held
1724|juno|east|frame|76|paid
1470|ember|south|frame|51|shipped
1429|dorian|east|rotor|86|pending
1607|harbor|south|panel|76|held
1353|fulton|west|panel|32|paid
1111|gale|south|frame|87|pending
1208|gale|west|frame|85|shipped
1209|dorian|north|frame|44|held
1443|ionic|west|rotor|76|shipped
1624|ember|south|gasket|34|shipped
1298|dorian|north|gasket|12|paid
1238|dorian|east|cable|92|shipped
1718|gale|west|frame|93|shipped
1402|harbor|east|pump|45|shipped
1570|birch|south|rotor|36|pending
1697|cobalt|west|panel|48|shipped
1396|juno|north|pump|58|shipped
1363|cobalt|north|cable|66|paid
1560|harbor|west|sensor|70|shipped
1442|fulton|east|pump|81|paid
1457|fulton|west|sensor|24|pending
1182|acme|north|cable|87|shipped
1665|harbor|south|pump|60|pending
1416|gale|north|sensor|16|held
1544|ember|west|sensor|18|shipped
1163|juno|north|cable|77|shipped
1256|fulton|north|valve|68|pending
1273|acme|west|frame|76|pending
1582|harbor|east|frame|82|shipped
1172|juno|north|pump|97|shipped
1439|dorian|south|pump|14|paid
1703|cobalt|south|cable|23|pending
1331|ionic|south|frame|86|paid
1603|dorian|south|valve|50|pending
1647|fulton|south|pump|17|pending
1425|fulton|north|frame|40|paid
1564|fulton|north|valve|30|paid
1672|birch|east|gasket|72|shipped
1449|juno|south|cable|46|shipped
1335|birch|north|panel|87|shipped
1541|gale|south|gasket|71|shipped
1542|cobalt|south|valve|21|paid
1515|gale|north|panel|85|shipped
1558|cobalt|east|sensor|90|held
1390|cobalt|north|panel|50|paid
1119|gale|east|cable|80|held
1212|cobalt|north|cable|78|paid
1161|acme|south|pump|44|pending
1114|gale|east|sensor|86|paid
1731|gale|north|sensor|36|paid
1410|cobalt|west|panel|24|held
1369|harbor|north|rotor|22|pending
1474|cobalt|east|sensor|40|paid
1573|birch|south|valve|98|held
1726|cobalt|west|sensor|19|pending
1679|dorian|south|rotor|58|paid
1545|acme|south|frame|38|paid
1464|ember|east|sensor|56|held
1318|ember|south|sensor|71|held
1472|dorian|east|gasket|92|paid
1293|ember|south|gasket|31|shipped
1311|cobalt|south|sensor|53|shipped
1640|acme|south|frame|96|shipped
1614|birch|south|rotor|97|shipped
1488|fulton|south|gasket|62|paid
1589|juno|east|cable|25|paid
1244|birch|east|sensor|23|held
1406|gale|east|valve|84|held
1109|gale|east|valve|83|pending
1550|gale|east|valve|14|pending
1351|gale|north|panel|88|shipped
1397|fulton|west|pump|38|pending
1160|gale|east|cable|55|held
1140|gale|east|valve|72|pending
1575|harbor|west|panel|95|held
1431|dorian|south|cable|82|paid
1735|fulton|north|valve|20|pending
1261|harbor|west|panel|31|pending
1440|birch|north|sensor|88|held
1317|ember|west|cable|28|held
1225|harbor|west|panel|97|paid
1636|acme|west|panel|66|paid
1708|acme|south|cable|38|shipped
1216|ionic|south|frame|88|pending
1262|juno|south|frame|71|shipped
1433|cobalt|south|sensor|91|held
1389|fulton|north|panel|40|shipped
1478|juno|east|rotor|17|pending
1248|ember|west|frame|57|shipped
1551|dorian|east|gasket|66|held
1556|gale|east|cable|92|shipped
1154|gale|east|gasket|14|pending
1359|dorian|east|valve|17|pending
1719|gale|south|rotor|55|paid
1597|ionic|south|panel|71|held
1134|gale|east|frame|58|held
1596|birch|north|frame|21|shipped
1242|acme|east|pump|36|held
1269|harbor|west|valve|12|held
1179|juno|west|frame|10|shipped
1566|ember|east|rotor|70|shipped
1151|gale|east|pump|26|paid
1631|dorian|east|valve|16|paid
1291|ionic|north|panel|16|held
1400|birch|south|sensor|84|shipped
1156|gale|south|panel|65|pending
1652|cobalt|west|gasket|20|paid
1494|acme|west|panel|81|held
1469|ember|east|cable|34|paid
1232|harbor|south|sensor|32|paid
1394|harbor|west|sensor|62|shipped
1711|fulton|west|gasket|25|held
1375|cobalt|south|valve|32|pending
1276|acme|north|panel|95|held
1482|acme|north|sensor|19|pending
1199|juno|south|cable|15|held
1344|acme|east|valve|15|paid
1466|gale|south|pump|31|shipped
1305|ionic|west|rotor|22|shipped
1382|gale|north|sensor|81|pending
1188|cobalt|south|gasket|14|shipped
1117|gale|west|rotor|56|pending
1504|ionic|east|gasket|46|shipped
1194|cobalt|east|valve|49|held
1407|acme|north|sensor|50|shipped
1450|dorian|east|panel|79|pending
1420|ember|east|pump|82|held
1471|fulton|west|frame|96|paid
1280|ember|east|valve|83|pending
1549|juno|west|pump|85|pending
1167|dorian|east|gasket|26|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "gale" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 55, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.deploy-v1conf — · 280ms · $0.039 · 32361 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- auth-svc: billing, search
- search: billing, gateway
- gateway: billing
- billing: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.ledger-v1conf — · 272ms · $0.001 · 155 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: $727
- tango: $523
- echo: $171
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $360 from "tango" to "delta"
2. pay $84 from "echo" to "delta"
3. pay $580 from "tango" to "echo"
4. pay $560 from "echo" to "delta"
5. pay $374 from "delta" to "tango"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.triage-v1conf — · 325ms · $0.001 · 386 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 → novak
- auth → chen
- data → silva
INCIDENTS:
1. "invoice total wrong" (category: payments, priority 7)
2. "SSO loop on login" (category: auth, priority 4)
3. "invoice total wrong" (category: payments, priority 7)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.context-load-v1conf — · 281ms · $0.037 · 27452 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 (277 records, format: id|customer|region|item|qty|status):
```
1895|juno|west|frame|76|paid
1700|harbor|south|cable|27|paid
2023|fulton|east|valve|33|held
1985|gale|south|valve|62|shipped
1851|acme|north|pump|90|paid
1635|dorian|north|cable|84|pending
2119|ionic|north|sensor|81|shipped
1553|gale|west|valve|45|shipped
2348|cobalt|south|valve|33|paid
1746|acme|south|frame|42|shipped
1467|fulton|south|pump|61|shipped
1546|cobalt|east|pump|51|held
1970|ember|north|pump|22|pending
2030|harbor|north|frame|93|pending
1447|fulton|south|pump|84|pending
2329|dorian|east|gasket|87|paid
2066|ember|east|sensor|88|pending
2353|ionic|east|valve|93|shipped
1508|dorian|south|valve|29|paid
2089|birch|east|valve|44|shipped
1733|juno|west|panel|62|shipped
2096|juno|south|gasket|30|held
1859|ionic|north|cable|15|pending
1898|birch|east|gasket|79|shipped
2170|dorian|south|rotor|87|shipped
1719|gale|west|panel|62|paid
1752|harbor|east|pump|24|pending
2442|cobalt|west|cable|30|paid
1729|fulton|east|panel|60|shipped
1664|ember|north|gasket|21|pending
2019|acme|north|gasket|88|paid
1625|ember|south|cable|28|held
2462|acme|east|cable|28|pending
1814|cobalt|west|pump|78|pending
1876|birch|east|rotor|66|held
1473|juno|south|cable|79|pending
1436|fulton|east|panel|56|pending
1472|fulton|west|gasket|49|paid
2221|juno|north|gasket|16|shipped
2440|dorian|south|cable|20|shipped
1811|ember|east|pump|11|shipped
2041|juno|north|rotor|43|paid
2130|birch|north|pump|21|paid
2368|ember|south|frame|15|pending
2365|ionic|west|rotor|89|paid
2407|juno|north|gasket|41|paid
1982|ionic|west|pump|14|pending
2383|fulton|north|valve|88|pending
2154|harbor|west|pump|22|paid
1552|fulton|north|valve|39|paid
1935|gale|north|rotor|83|held
1581|gale|north|valve|56|paid
2300|birch|west|valve|54|paid
1891|ember|east|pump|56|shipped
2418|cobalt|north|pump|63|held
2389|harbor|east|pump|65|shipped
1950|dorian|east|frame|98|pending
1643|birch|south|valve|92|paid
1677|acme|east|panel|40|shipped
2144|gale|east|pump|70|held
2207|juno|north|sensor|85|paid
2344|ember|west|sensor|40|held
1573|birch|north|panel|58|pending
2401|dorian|west|valve|49|paid
2211|ionic|north|frame|51|shipped
2308|harbor|south|pump|25|paid
2444|fulton|east|gasket|91|pending
2147|birch|west|panel|48|pending
1996|ember|west|cable|23|pending
1955|ember|west|cable|61|paid
2091|cobalt|north|valve|56|held
1599|ember|east|cable|13|pending
1741|ionic|east|gasket|36|held
2314|harbor|south|cable|28|pending
1977|fulton|south|pump|99|paid
1989|gale|west|rotor|68|paid
1890|cobalt|south|valve|91|shipped
2322|birch|south|sensor|72|held
2054|ionic|west|frame|23|shipped
1802|ionic|east|panel|83|shipped
1785|ember|west|valve|96|shipped
2468|gale|west|frame|40|held
2162|acme|north|rotor|30|held
2454|ember|north|pump|24|paid
2395|cobalt|east|rotor|26|shipped
1828|fulton|east|cable|57|shipped
1651|ember|west|cable|16|held
1640|harbor|west|frame|50|held
2236|dorian|east|cable|21|held
2177|birch|west|gasket|62|shipped
2302|birch|west|sensor|22|pending
1718|gale|west|gasket|93|held
2429|ember|south|gasket|60|paid
1822|harbor|east|valve|18|paid
1469|ionic|east|frame|26|pending
1595|ember|west|valve|76|paid
2286|harbor|south|panel|95|shipped
1739|dorian|north|gasket|48|pending
1491|dorian|north|valve|22|shipped
1441|fulton|west|pump|73|pending
1821|birch|west|panel|63|paid
1535|gale|west|cable|75|paid
2178|acme|north|sensor|56|held
1795|ember|west|gasket|38|pending
2224|harbor|south|pump|24|held
1901|birch|north|panel|46|paid
1670|gale|west|sensor|47|paid
2187|cobalt|east|gasket|71|pending
1711|gale|west|frame|66|paid
2048|gale|east|sensor|68|pending
2074|cobalt|east|rotor|17|paid
2163|birch|west|valve|50|paid
2476|acme|south|panel|30|shipped
2215|cobalt|south|sensor|22|pending
1616|gale|south|sensor|76|pending
2105|acme|north|valve|56|pending
1501|gale|east|valve|41|held
1496|dorian|east|cable|10|held
2014|acme|west|rotor|16|held
1835|ionic|east|frame|37|pending
1856|gale|east|rotor|59|shipped
1865|acme|north|gasket|12|held
1765|harbor|south|cable|22|paid
2262|dorian|south|rotor|46|paid
2405|dorian|east|rotor|75|paid
2004|ionic|west|panel|73|shipped
2309|ionic|east|sensor|14|paid
1539|birch|east|pump|19|pending
2129|dorian|west|gasket|94|shipped
2338|cobalt|west|cable|67|pending
1939|harbor|west|gasket|52|paid
2230|fulton|west|panel|66|held
1723|harbor|north|panel|57|pending
2204|acme|north|pump|71|pending
2020|fulton|west|gasket|21|paid
2373|juno|east|frame|29|shipped
2169|cobalt|east|panel|73|paid
2001|acme|south|cable|75|shipped
1924|gale|south|sensor|45|held
1705|harbor|north|gasket|34|held
2159|ember|north|rotor|28|pending
1623|cobalt|west|panel|96|held
1642|gale|west|rotor|94|pending
1486|juno|south|valve|14|held
2247|gale|east|sensor|70|pending
2097|birch|south|sensor|41|shipped
2234|fulton|north|cable|12|paid
1776|birch|east|panel|62|shipped
2402|acme|east|panel|69|pending
1894|birch|east|cable|46|paid
2426|ember|west|gasket|15|shipped
1722|ionic|north|valve|31|pending
1450|fulton|east|rotor|39|pending
1928|acme|south|gasket|49|shipped
1667|harbor|east|sensor|53|shipped
2114|acme|east|valve|22|shipped
1908|harbor|north|pump|15|shipped
2160|fulton|west|panel|39|paid
2412|harbor|south|pump|20|paid
1907|ember|north|valve|80|shipped
2483|gale|east|rotor|46|held
2123|birch|west|cable|76|paid
1440|fulton|south|gasket|14|pending
1606|dorian|east|cable|50|held
2475|harbor|east|cable|77|paid
2193|birch|north|sensor|50|shipped
1840|dorian|west|frame|80|pending
2184|juno|north|gasket|11|shipped
1809|harbor|south|frame|53|shipped
1588|birch|west|valve|93|shipped
2168|ember|west|panel|12|paid
1476|fulton|east|rotor|47|shipped
1873|birch|east|rotor|87|held
1603|acme|north|pump|93|pending
2026|birch|west|cable|60|held
2151|dorian|south|sensor|22|pending
2241|ionic|north|valve|98|paid
2192|birch|south|panel|86|held
1969|juno|west|gasket|45|shipped
1844|fulton|west|valve|14|paid
1944|fulton|south|pump|94|pending
2032|ember|west|frame|51|paid
2330|acme|west|frame|60|held
1883|cobalt|west|sensor|53|held
1478|gale|north|gasket|95|shipped
2436|cobalt|west|frame|16|shipped
2461|ember|east|frame|46|held
2450|dorian|west|pump|12|pending
1433|fulton|south|frame|13|pending
2034|birch|east|cable|54|shipped
2081|harbor|east|panel|90|paid
2335|ember|north|gasket|85|shipped
2139|dorian|west|rotor|51|paid
1961|ionic|north|valve|26|held
1698|dorian|west|gasket|33|held
1730|ionic|west|valve|50|pending
1683|acme|south|panel|96|paid
1737|ionic|south|cable|92|shipped
1696|juno|south|frame|86|paid
2316|birch|west|gasket|10|pending
1688|dorian|south|panel|49|pending
2269|fulton|west|cable|76|paid
2111|harbor|north|valve|57|pending
2386|acme|south|cable|30|shipped
2101|fulton|west|gasket|22|shipped
2276|ember|south|pump|19|pending
2434|harbor|south|panel|27|shipped
2375|juno|east|pump|86|held
1717|dorian|south|gasket|21|shipped
1790|gale|west|sensor|76|pending
2068|fulton|west|cable|21|pending
2027|acme|north|cable|44|pending
1582|ember|east|pump|22|pending
1583|ember|north|frame|46|pending
2263|gale|west|gasket|54|pending
1966|cobalt|west|sensor|89|pending
2359|cobalt|east|valve|61|shipped
2334|birch|west|panel|73|pending
2358|cobalt|east|pump|59|held
2189|birch|west|rotor|32|paid
1456|fulton|south|rotor|64|pending
1660|cobalt|west|valve|13|paid
1911|cobalt|north|gasket|82|pending
2423|ionic|north|rotor|67|shipped
2200|juno|east|panel|57|paid
1750|dorian|west|gasket|41|pending
1513|birch|east|rotor|20|paid
1439|fulton|south|pump|89|shipped
1867|ember|west|gasket|67|held
2062|ember|east|sensor|91|paid
1767|cobalt|north|frame|23|held
1645|birch|east|gasket|94|pending
1655|ember|east|valve|49|paid
2036|birch|east|valve|72|held
1511|acme|south|panel|64|shipped
2216|birch|north|gasket|49|held
1479|dorian|south|valve|18|paid
2396|fulton|south|valve|99|shipped
1771|dorian|north|panel|55|pending
1526|birch|south|rotor|98|paid
1558|dorian|north|frame|19|pending
1864|gale|east|cable|13|paid
1452|fulton|south|panel|34|shipped
1825|fulton|north|frame|47|pending
1463|fulton|north|rotor|77|pending
2278|dorian|north|cable|18|shipped
1758|ember|west|frame|63|held
2283|ember|south|cable|85|held
1570|fulton|north|cable|30|shipped
1816|ember|south|frame|41|paid
2134|dorian|north|pump|79|held
1923|harbor|north|sensor|67|paid
2293|juno|east|rotor|48|held
2270|acme|south|frame|40|paid
2084|cobalt|west|cable|94|held
1902|harbor|south|valve|18|held
1444|fulton|south|pump|11|held
1779|ionic|east|cable|80|shipped
2490|dorian|south|rotor|97|pending
1609|harbor|west|cable|91|paid
2467|birch|south|pump|88|shipped
2056|cobalt|north|pump|59|pending
2251|birch|east|panel|47|shipped
1691|acme|north|valve|28|held
1628|harbor|south|gasket|61|shipped
1530|ember|east|valve|39|shipped
1917|acme|south|panel|53|held
2258|cobalt|east|frame|98|held
1863|fulton|east|pump|71|shipped
1574|acme|west|gasket|80|held
2007|harbor|east|sensor|52|pending
2118|acme|south|sensor|31|held
1519|fulton|south|pump|73|paid
2377|cobalt|east|pump|32|paid
2213|fulton|east|rotor|76|paid
2445|fulton|west|valve|23|paid
1565|cobalt|north|cable|99|shipped
```
POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 64, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.
Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.deploy-v1conf — · 252ms · $0.039 · 32365 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)
- billing: notifier, reports
- gateway: billing, reports
- notifier: reports
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.ledger-v1conf — · 243ms · $0.001 · 303 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: $458
- lima: $304
- oscar: $424
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $448 from "lima" to "kilo"
2. pay $187 from "kilo" to "lima"
3. pay $142 from "lima" to "kilo"
4. pay $271 from "lima" to "kilo"
5. pay $122 from "lima" to "oscar"
RULES:
- transfer() fails on overdraft. If a payment would overdraw its source account at the moment of execution, first call top_up_from_reserve() on the source with EXACTLY the shortfall (no more, no less), then execute the transfer.
- Track balances as they change: earlier payments affect later ones.
- Never call tools that are not needed.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)wrongagentic.tools.triage-v1conf — · 260ms · $0.001 · 231 tok
question
You operate a support desk strictly through tool calls.
TOOL CATALOG:
- create_ticket(title: string, priority: int) — opens a ticket; IDs are assigned sequentially: the 1st created ticket is "TCK-1", the 2nd "TCK-2", etc.
- assign(ticket_id: string, agent: string) — assigns an open ticket to an agent
- escalate(ticket_id: string) — marks a ticket as escalated
- close_ticket(ticket_id: string, resolution: string) — closes a ticket with a resolution note
- send_email(to: string, body: string) — sends an email (not part of the triage policy)
- archive_ticket(ticket_id: string) — archives a closed ticket (nightly job does this automatically)
- set_reminder(ticket_id: string, hours: int) — sets a follow-up reminder
ROUTING POLICY (apply exactly, in this order, for each incident, processing incidents in the order listed):
1. Create a ticket for the incident (title = the incident text verbatim, priority as given).
2. If the incident is an exact duplicate of an earlier incident in this list, close its ticket immediately with resolution "duplicate of <ID of the earlier ticket>" and do nothing else for it.
3. Otherwise, if priority ≥ 7, escalate the ticket BEFORE assigning it.
4. Assign the ticket to the agent responsible for its category.
CATEGORY → AGENT:
- payments → silva
- data → okafor
- auth → chen
INCIDENTS:
1. "refund double-charged" (category: payments, priority 4)
2. "export file corrupted" (category: data, priority 7)
3. "cannot reset password" (category: auth, priority 3)
4. "cannot reset password" (category: auth, priority 3)
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.deploy-v1conf — · 249ms · $0.039 · 32367 tok
question
You are a release agent operating strictly through tool calls.
TOOL CATALOG:
- deploy(service: string) — deploys a service; FAILS if any dependency is not yet deployed
- health_check(service: string) — runs a post-deploy health probe
- rollback(service: string) — reverts a bad deploy (nothing fails in this scenario)
- scale(service: string, replicas: int) — changes replica count (out of scope)
- restart(service: string) — restarts a service (out of scope)
SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- reports: search
- notifier: search
- gateway: notifier, reports
- search: (none)
POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "gateway" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.
Output the full ordered sequence of tool calls needed to accomplish the goal, as a JSON array of objects {"tool": string, "args": object}. Use exactly the tool and argument names from the catalog. Do not call any tool that is not required.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
(none extracted)truncatedagentic.tools.context-load-v1anchorconf — · 566ms · $0.038 · 28995 tok
model answer:
(none extracted)wrongagentic.tools.ledger-v1conf — · 237ms · $0.001 · 623 tok
question
You are a treasury agent operating strictly through tool calls.
TOOL CATALOG:
- transfer(from: string, to: string, amount: int) — moves funds between accounts; FAILS if it would overdraw the source
- top_up_from_reserve(account: string, amount: int) — adds funds to an account from the corporate reserve
- get_balance(account: string) — reads a balance (you already have all balances below — reads are unnecessary and forbidden)
- freeze_account(account: string) — compliance freeze (not part of this task)
- convert_currency(account: string, currency: string) — FX conversion (all amounts are already in USD)
OPENING BALANCES:
- lima: $590
- kilo: $879
- bravo: $293
PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $428 from "lima" to "kilo"
2. pay $362 from "bravo" to "kilo"
3. pay $179 from "lima" to "bravo"
4. pay $124 from "bravo" to "kilo"
5. pay $331 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:
(none extracted)wrongagentic.tools.ledger-v1anchorconf — · 266ms · $0.001 · 290 tok
model answer:
(none extracted)wrongagentic.tools.deploy-v1anchorconf — · 271ms · $0.000 · 89 tok
model answer:
(none extracted)wrongagentic.tools.triage-v1anchorconf — · 258ms · $0.001 · 583 tok
model answer:
(none extracted)code 1/30 correct
wrongcode.trace.js-v1conf — · 252ms · $0.000 · 111 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 4) .filter(n => n % 4 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongcode.trace.nested-v1conf 100% · 330ms · $0.000 · 113 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 2 == 0:
continue
total += i * 5 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
120wrongcode.trace.python-v1conf 100% · 246ms · $0.000 · 84 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 12
while total + v <= 100:
if v % 3 != 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:
120wrongcode.trace.js-v1conf 100% · 246ms · $0.000 · 138 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]; const out = arr .map(n => n * 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:
220wrongcode.trace.python-v1conf 100% · 587ms · $0.000 · 82 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 8
while total + v <= 65:
if v % 4 != 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:
100wrongcode.trace.nested-v1conf 100% · 252ms · $0.000 · 113 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 7):
for j in range(1, 7):
if j == 5 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 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:
100wrongcode.trace.js-v1conf — · 232ms · $0.000 · 114 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 4) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongcode.trace.nested-v1conf 100% · 245ms · $0.000 · 112 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 == 4 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:
31wrongcode.trace.js-v1conf — · 254ms · $0.000 · 108 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; 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:
(none extracted)wrongcode.trace.python-v1conf 100% · 244ms · $0.000 · 83 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 15
while total + v <= 86:
if v % 5 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
105wrongcode.trace.nested-v1conf 100% · 235ms · $0.000 · 112 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 == 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:
42wrongcode.trace.python-v1conf 100% · 262ms · $0.000 · 83 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 13
while total + v <= 84:
if v % 7 != 0:
total += v
v += 6
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
120wrongcode.trace.js-v1conf 100% · 239ms · $0.000 · 138 tok
question
What does this JavaScript program log? ```js const arr = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]; const out = arr .map(n => n * 7) .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:
420wrongcode.trace.nested-v1conf 100% · 245ms · $0.000 · 112 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, 5):
if j == 3 and i % 2 == 0:
break
if (i + j) % 3 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
24wrongcode.trace.python-v1conf 100% · 246ms · $0.000 · 82 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 7
while total + v <= 94:
if v % 7 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
105wrongcode.trace.js-v1conf 100% · 600ms · $0.000 · 119 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [7, 8, 9, 10, 11, 12, 13, 14]; const out = arr .map(n => n * 4) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
120wrongcode.trace.js-v1conf 100% · 293ms · $0.000 · 118 tok
question
Evaluate the following JavaScript. What number is logged to the console? ```js const arr = [10, 11, 12, 13, 14, 15, 16]; const out = arr .map(n => n * 7) .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:
210wrongcode.trace.nested-v1conf 100% · 262ms · $0.000 · 112 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 8):
if j == 6 and i % 2 == 0:
break
if (i + j) % 4 == 0:
continue
total += i * 2 + j
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
34wrongcode.trace.python-v1conf 100% · 243ms · $0.000 · 83 tok
question
Execute this Python snippet mentally. What is printed?
```python
total = 0
v = 5
while total + v <= 104:
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:
100wrongcode.trace.nested-v1conf 100% · 253ms · $0.000 · 112 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 6):
for j in range(1, 6):
if j == 3 and i % 2 == 0:
break
if (i + j) % 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:
30wrongcode.trace.python-v1conf 100% · 284ms · $0.000 · 82 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 8
while total + v <= 60:
if v % 5 != 0:
total += v
v += 8
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
104wrongcode.trace.js-v1conf 100% · 244ms · $0.000 · 128 tok
question
What does this JavaScript program log? ```js const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17]; const out = arr .map(n => n * 5) .filter(n => n % 2 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
210wrongcode.trace.nested-v1conf 100% · 298ms · $0.000 · 112 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 5):
for j in range(1, 6):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
31wrongcode.trace.python-v1conf 100% · 243ms · $0.000 · 82 tok
question
Trace the following Python code and give its exact output.
```python
total = 0
v = 10
while total + v <= 88:
if v % 5 != 0:
total += v
v += 5
print(total)
```
End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
80correctcode.trace.js-v1conf 100% · 303ms · $0.000 · 120 tok
question
What does this JavaScript program log? ```js const arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]; const out = arr .map(n => n * 2) .filter(n => n % 5 === 0) .reduce((a, b) => a + b, 0); console.log(out); ``` End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
30wrongcode.trace.nested-v1conf 100% · 233ms · $0.000 · 112 tok
question
Trace this Python program exactly. What does it print?
```python
total = 0
for i in range(1, 8):
for j in range(1, 7):
if j == 4 and i % 2 == 0:
break
if (i + j) % 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:
53wrongcode.trace.nested-v1anchorconf 100% · 830ms · $0.000 · 113 tok
model answer:
100wrongcode.trace.python-v1anchorconf 100% · 290ms · $0.000 · 81 tok
model answer:
66wrongcode.trace.js-v1anchorconf — · 255ms · $0.000 · 94 tok
model answer:
(none extracted)wrongcode.trace.python-v1anchorconf 100% · 398ms · $0.000 · 82 tok
model answer:
56instruction following 1/30 correct
wrongif.constraints.stack-v1conf 100% · 360ms · $0.000 · 25 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously: 1. Exactly 18 words. 2. The first word must be "delta" and the last word must be "ember". 3. Use the word "echo" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
delta echo echo echo emberwrongif.format.acronym-v1conf 100% · 254ms · $0.000 · 23 tok
question
Take the second letter of each of these words, in order: basalt, falcon, comet, prism, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)truncatedif.format.repeat-v1conf — · 285ms · $0.039 · 32596 tok
question
Write the word "comet" in lowercase form, repeated exactly 7 times, joined by the character "_" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.format.repeat-v1conf 100% · 239ms · $0.000 · 93 tok
question
Write the word "basalt" in uppercase 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:
BASALT_BASALT_BASALT_BASALT_BASALT_BASALT_BASALT_BASALT_BASALT_BASALTwrongif.constraints.stack-v1conf 100% · 821ms · $0.000 · 29 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "zephyr" and the last word must be "tundra". 3. Use the word "comet" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr comet comet tundratruncatedif.constraints.stack-v1conf — · 775ms · $0.039 · 32535 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "falcon" and the last word must be "delta". 3. Use the word "echo" exactly 2 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.format.acronym-v1conf — · 259ms · $0.000 · 10 tok
question
Take the first letter of each of these words, in order: prism, flint, lumen, 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:
(none extracted)wrongif.constraints.stack-v1conf — · 271ms · $0.000 · 8 tok
question
Write in English about a city at night, following ALL of these rules simultaneously: 1. Exactly 16 words. 2. The first word must be "cedar" and the last word must be "falcon". 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:
(none extracted)wrongif.format.acronym-v1conf — · 272ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: lumen, zephyr, orbit, tundra, delta. 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:
(none extracted)wrongif.format.repeat-v1conf — · 311ms · $0.000 · 11 tok
question
Write the word "lumen" in lowercase form, repeated exactly 5 times, joined by the character "/" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.constraints.stack-v1conf — · 242ms · $0.000 · 10 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "comet" and the last word must be "cedar". 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:
(none extracted)wrongif.format.acronym-v1conf 100% · 236ms · $0.000 · 16 tok
question
Take the third letter of each of these words, in order: cedar, ember, zephyr, basalt, orbit, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)correctif.format.repeat-v1conf 100% · 237ms · $0.000 · 82 tok
question
Write the word "zephyr" in capitalized form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ZEPHYR-ZEPHYR-ZEPHYR-ZEPHYR-ZEPHYR-ZEPHYRwrongif.constraints.stack-v1conf 100% · 257ms · $0.000 · 46 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 23 words. 2. The first word must be "lumen" and the last word must be "nova". 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:
lumen delta delta delta novawrongif.format.acronym-v1conf — · 232ms · $0.000 · 14 tok
question
Take the second letter of each of these words, in order: quartz, cedar, echo, comet, basalt, flint. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.format.repeat-v1conf 100% · 227ms · $0.000 · 54 tok
question
Write the word "ember" 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:
emberemberemberemberemberemberemberemberemberemberwrongif.format.acronym-v1conf — · 247ms · $0.000 · 11 tok
question
Take the second letter of each of these words, in order: quartz, tundra, ember, 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:
(none extracted)wrongif.format.repeat-v1conf — · 234ms · $0.000 · 19 tok
question
Write the word "cedar" 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:
(none extracted)wrongif.constraints.stack-v1conf 100% · 251ms · $0.000 · 25 tok
question
Write in English about an old machine, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "falcon" and the last word must be "cedar". 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:
falcon ember ember cedarwrongif.format.acronym-v1conf — · 247ms · $0.000 · 10 tok
question
Take the first letter of each of these words, in order: lumen, drift, nova, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.format.repeat-v1conf — · 243ms · $0.000 · 18 tok
question
Write the word "ember" 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:
(none extracted)wrongif.constraints.stack-v1conf 100% · 230ms · $0.000 · 17 tok
question
Write in English about the sea, following ALL of these rules simultaneously: 1. Exactly 17 words. 2. The first word must be "drift" and the last word must be "comet". 3. Use the word "orbit" 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:
(none extracted)wrongif.format.acronym-v1conf — · 237ms · $0.000 · 5 tok
question
Take the third letter of each of these words, in order: falcon, ember, zephyr, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.format.repeat-v1conf — · 261ms · $0.000 · 11 tok
question
Write the word "tundra" in lowercase form, repeated exactly 5 times, joined by the character "-" with no spaces. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.constraints.stack-v1conf 100% · 235ms · $0.000 · 29 tok
question
Write in English about a long journey, following ALL of these rules simultaneously: 1. Exactly 24 words. 2. The first word must be "zephyr" and the last word must be "nova". 3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ). 4. The letter "q" must not appear anywhere. 5. Everything entirely in lowercase. Give the text itself as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
zephyr cedar cedar cedar novawrongif.format.acronym-v1conf 100% · 251ms · $0.000 · 13 tok
question
Take the third letter of each of these words, in order: prism, delta, echo, ember. Concatenate them in uppercase into a single string with no separators. Output that string as your answer. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongif.constraints.stack-v1anchorconf 100% · 248ms · $0.000 · 51 tok
model answer:
drift lumen lumen lumen orbitwrongif.format.repeat-v1anchorconf — · 249ms · $0.000 · 19 tok
model answer:
(none extracted)wrongif.format.repeat-v1anchorconf — · 249ms · $0.000 · 26 tok
model answer:
(none extracted)wrongif.format.acronym-v1anchorconf — · 336ms · $0.000 · 4 tok
model answer:
(none extracted)knowledge 26/30 correct
correctknowledge.fr.factbank-v2conf 100% · 248ms · $0.000 · 18 tok
question
Name the element whose symbol is Hg. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurywrongknowledge.fr.factbank-v2conf — · 865ms · $0.000 · 70 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:
<your final answer only>correctknowledge.fr.factbank-v2conf 100% · 234ms · $0.000 · 51 tok
question
Identify the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 258ms · $0.000 · 49 tok
question
Name the capital of Turkey. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ankaracorrectknowledge.fr.factbank-v2conf 100% · 268ms · $0.000 · 50 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% · 253ms · $0.000 · 49 tok
question
Name 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% · 255ms · $0.000 · 49 tok
question
Name the Australian 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:
Canberracorrectknowledge.fr.factbank-v2conf 100% · 337ms · $0.000 · 51 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% · 301ms · $0.000 · 53 tok
question
What is the chemical element with symbol K? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 268ms · $0.000 · 19 tok
question
Identify the writer of the novel "Things Fall Apart". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Chinua Achebecorrectknowledge.fr.factbank-v2conf 100% · 259ms · $0.000 · 50 tok
question
Name 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% · 258ms · $0.000 · 59 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% · 253ms · $0.000 · 61 tok
question
Name the writer of the novel "One Hundred Years of Solitude". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Gabriel García Márquezcorrectknowledge.fr.factbank-v2conf 100% · 251ms · $0.000 · 50 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% · 256ms · $0.000 · 50 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 259ms · $0.000 · 37 tok
question
What is the element whose symbol is Hg? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mercurycorrectknowledge.fr.factbank-v2conf 100% · 238ms · $0.000 · 52 tok
question
Identify the Swiss capital (de facto). Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Bernwrongknowledge.fr.factbank-v2conf 100% · 256ms · $0.000 · 13 tok
question
Identify 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:
(none extracted)correctknowledge.fr.factbank-v2conf 100% · 247ms · $0.000 · 59 tok
question
Name the writer of the novel "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 258ms · $0.000 · 50 tok
question
What is the Canadian capital city? Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Ottawacorrectknowledge.fr.factbank-v2conf 100% · 227ms · $0.000 · 59 tok
question
Name the writer of the novel "The Master and Margarita". Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Mikhail Bulgakovcorrectknowledge.fr.factbank-v2conf 100% · 302ms · $0.000 · 51 tok
question
Identify the capital of Nigeria. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Abujacorrectknowledge.fr.factbank-v2conf 100% · 269ms · $0.000 · 19 tok
question
Name the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 251ms · $0.000 · 19 tok
question
Name the chemical element with symbol K. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Potassiumcorrectknowledge.fr.factbank-v2conf 100% · 328ms · $0.000 · 51 tok
question
Identify the capital of Kazakhstan. Answer with the name only — no explanation. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Astanacorrectknowledge.fr.factbank-v2conf 100% · 268ms · $0.000 · 60 tok
question
Identify 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-v2anchorconf 100% · 357ms · $0.000 · 18 tok
model answer:
Mercurywrongknowledge.fr.factbank-v2anchorconf — · 263ms · $0.000 · 69 tok
model answer:
<your final answer only>correctknowledge.fr.factbank-v2anchorconf 100% · 298ms · $0.000 · 17 tok
model answer:
Leadwrongknowledge.fr.factbank-v2anchorconf 100% · 321ms · $0.000 · 13 tok
model answer:
(none extracted)math 0/30 correct
wrongmath.chained.pipeline-v1conf 100% · 247ms · $0.000 · 84 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 58 × 14. Step 2: Q = P × 6 − 377. 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:
101wrongmath.counterfactual.base-v1conf 100% · 231ms · $0.000 · 79 tok
question
Work strictly in base 8. Multiply the base-8 numbers 27 and 67. Give the result IN BASE 8. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
27 * 67 = 1761 (base 8)wrongmath.percent.chain-v2conf 100% · 252ms · $0.000 · 197 tok
question
An inventory starts at 4000 units. The company was founded 117 kilometers from the port. In the first month the inventory grows by 44%. A rival firm shipped 4 unrelated parcels the same week. The next month it shrinks by 23%, and the month after it grows by 15%. 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:
4000 units. The company was founded 117 kilometers from the port. In the first month the inventory grows by 44%. A rival firm shipped 4 unrelated parcels the same week. The next month it shrinks by 23%, and the month after it grows by 15%. How many units remain (exact value, round to 2 decimals only if needed)?wrongmath.algebra.system-v2conf 100% · 335ms · $0.000 · 73 tok
question
Solve the system, then answer the derived question. 7x + 3y = 215 7x − 4y = 187 What is the value of 4x − 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:
10wrongmath.chained.pipeline-v1conf 100% · 246ms · $0.000 · 84 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 43 × 50. Step 2: Q = P × 5 − 216. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
119wrongmath.arith.chain-v2conf — · 234ms · $0.000 · 96 tok
question
Compute the value of the following expression. (((49 × 33 − 521) × 9 + 9216) − 78 × 74) × 3 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
<your final answer only>wrongmath.counterfactual.base-v1conf 100% · 254ms · $0.000 · 84 tok
question
Work strictly in base 13. Add the base-13 numbers 410 and 1415. 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:
1808wrongmath.percent.chain-v2conf — · 272ms · $0.000 · 8 tok
question
An inventory starts at 11000 units. Each pallet weighs about 94 grams more when wet. In the first month the inventory grows by 25%. Each pallet weighs about 21 grams more when wet. The next month it shrinks by 38%, and the month after it grows by 10%. 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:
(none extracted)wrongmath.algebra.system-v2conf — · 237ms · $0.000 · 88 tok
question
Solve the system, then answer the derived question. 9x + 8y = 48 5x − 4y = -252 What is the value of 6x − 3y? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
<your final answer only>wrongmath.chained.pipeline-v1conf 100% · 262ms · $0.000 · 84 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 15 × 78. Step 2: Q = P × 4 − 984. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
150wrongmath.arith.chain-v2conf — · 245ms · $0.000 · 96 tok
question
Compute the value of the following expression. (((24 × 88 − 116) × 5 + 9129) − 29 × 30) × 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:
<your final answer only>wrongmath.counterfactual.base-v1conf 100% · 259ms · $0.000 · 83 tok
question
Work strictly in base 7. Multiply the base-7 numbers 113 and 132. 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:
113 * 132 = 1552 in base 7wrongmath.percent.chain-v2conf 100% · 255ms · $0.000 · 197 tok
question
An inventory starts at 51000 units. The company was founded 60 kilometers from the port. In the first month the inventory grows by 40%. The delivery van has a 40-liter fuel tank. The next month it shrinks by 26%, and the month after it grows by 39%. How many units remain (exact value, round to 2 decimals only if needed)? End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
51000 units. The company was founded 60 kilometers from the port. In the first month the inventory grows by 40%. The delivery van has a 40-liter fuel tank. The next month it shrinks by 26%, and the month after it grows by 39%. How many units remain (exact value, round to 2 decimals only if needed)?wrongmath.algebra.system-v2conf — · 295ms · $0.000 · 88 tok
question
Solve the system, then answer the derived question. 2x + 5y = 91 8x − 7y = -149 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:
<your final answer only>wrongmath.arith.chain-v2conf 100% · 261ms · $0.000 · 83 tok
question
Compute the value of the following expression. (((30 × 74 − 901) × 6 + 8823) − 47 × 14) × 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:
10000wrongmath.chained.pipeline-v1conf — · 247ms · $0.000 · 99 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 42 × 72. Step 2: Q = P × 9 − 416. Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
<your final answer only>wrongmath.counterfactual.base-v1conf 100% · 238ms · $0.000 · 68 tok
question
Work strictly in base 9. Multiply the base-9 numbers 103 and 26. Give the result IN BASE 9. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
2698wrongmath.percent.chain-v2conf — · 238ms · $0.000 · 7 tok
question
An inventory starts at 56000 units. The company was founded 167 kilometers from the port. In the first month the inventory grows by 16%. The warehouse was painted 107 years ago. The next month it shrinks by 16%, and the month after it grows by 32%. 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:
(none extracted)wrongmath.algebra.system-v2conf — · 245ms · $0.000 · 89 tok
question
Solve the system, then answer the derived question. 7x + 8y = -177 7x − 2y = -297 What is the value of 2x − 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:
<your final answer only>wrongmath.chained.pipeline-v1conf 100% · 273ms · $0.000 · 84 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 58 × 23. Step 2: Q = P × 8 − 677. Step 3: divide Q by 3: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
113wrongmath.arith.chain-v2conf — · 247ms · $0.000 · 96 tok
question
Compute the value of the following expression. (((54 × 48 − 232) × 5 + 5720) − 25 × 80) × 2 End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
<your final answer only>wrongmath.counterfactual.base-v1conf 100% · 240ms · $0.000 · 82 tok
question
Work strictly in base 11. Add the base-11 numbers 19A2 and A5A. 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:
204Awrongmath.percent.chain-v2conf 100% · 258ms · $0.000 · 201 tok
question
An inventory starts at 52000 units. A rival firm shipped 174 unrelated parcels the same week. In the first month the inventory grows by 23%. The delivery van has a 34-liter fuel tank. The next month it shrinks by 15%, and the month after it grows by 10%. 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:
52000 units. A rival firm shipped 174 unrelated parcels the same week. In the first month the inventory grows by 23%. The delivery van has a 34-liter fuel tank. The next month it shrinks by 15%, and the month after it grows by 10%. How many units remain (exact value, round to 2 decimals only if needed)?wrongmath.algebra.system-v2conf — · 255ms · $0.000 · 87 tok
question
Solve the system, then answer the derived question. 6x + 5y = 68 4x − 2y = -40 What is the value of 3x − 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:
<your final answer only>wrongmath.arith.chain-v2conf 100% · 416ms · $0.000 · 83 tok
question
Compute the value of the following expression. (((80 × 55 − 495) × 9 + 2386) − 58 × 31) × 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:
10000wrongmath.chained.pipeline-v1conf 100% · 436ms · $0.000 · 84 tok
question
Solve the following linked steps; each step uses the previous result. Step 1: P = 55 × 77. Step 2: Q = P × 4 − 706. Step 3: divide Q by 6: let q be the integer quotient and r the remainder. The final answer is q + r. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
221wrongmath.counterfactual.base-v1anchorconf 100% · 246ms · $0.000 · 72 tok
model answer:
10110wrongmath.percent.chain-v2anchorconf 100% · 259ms · $0.000 · 197 tok
model answer:
43000 units. A rival firm shipped 179 unrelated parcels the same week. In the first month the inventory grows by 9%. Each pallet weighs about 32 grams more when wet. The next month it shrinks by 7%, and the month after it grows by 42%. How many units remain (exact value, round to 2 decimals only if needed)?wrongmath.algebra.system-v2anchorconf 100% · 264ms · $0.000 · 72 tok
model answer:
100wrongmath.arith.chain-v2anchorconf 100% · 248ms · $0.000 · 83 tok
model answer:
10000multilingual 0/30 correct
wrongmultilingual.wordnum-v1conf — · 250ms · $0.000 · 15 tok
question
A number is written in French: « deux cent cinquante-neuf ». Another is written in Spanish: « doscientos 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:
(none extracted)wrongmultilingual.numword-v2conf 100% · 236ms · $0.000 · 69 tok
question
Compute 185 + 55, 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:
ciento ochenta y cincowrongmultilingual.wordnum-v1conf 100% · 239ms · $0.000 · 25 tok
question
A number is written in French: « quatre cent soixante-neuf ». Another is written in Spanish: « setecientos setenta ». 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:
(none extracted)wrongmultilingual.numword-v2conf 100% · 267ms · $0.000 · 68 tok
question
Compute 133 + 95, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
ciento treinta y treswrongmultilingual.wordnum-v1conf — · 240ms · $0.000 · 14 tok
question
A number is written in French: « deux cent quatre-vingt-seize ». Another is written in Spanish: « quinientos 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:
(none extracted)wrongmultilingual.numword-v2conf 100% · 254ms · $0.000 · 53 tok
question
Compute 403 + 257, 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 tres y doscientos cincowrongmultilingual.numword-v2conf 100% · 246ms · $0.000 · 75 tok
question
Compute 407 + 357, 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 siete y trescientos setentawrongmultilingual.wordnum-v1conf — · 254ms · $0.000 · 102 tok
question
A number is written in French: « cinq cent quatre-vingt-dix-huit ». Another is written in Spanish: « ochocientos 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:
<your final answer only>wrongmultilingual.numword-v2conf 100% · 245ms · $0.000 · 70 tok
question
Compute 200 + 172, 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 setenta y doswrongmultilingual.wordnum-v1conf — · 264ms · $0.000 · 97 tok
question
A number is written in French: « neuf cent dix ». Another is written in Spanish: « setecientos sesenta 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:
<your final answer only>wrongmultilingual.wordnum-v1conf 100% · 323ms · $0.000 · 23 tok
question
A number is written in French: « trois cent trente-sept ». Another is written in Spanish: « trescientos 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:
(none extracted)wrongmultilingual.numword-v2conf 100% · 248ms · $0.000 · 84 tok
question
Compute 431 + 183, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cuatrocientos treinta y uno más ochenta y tres es seiscientos treinta y cuatro.wrongmultilingual.wordnum-v1conf — · 261ms · $0.000 · 20 tok
question
A number is written in French: « cinq cent vingt-six ». Another is written in Spanish: « setecientos 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:
(none extracted)wrongmultilingual.numword-v2conf 100% · 248ms · $0.000 · 71 tok
question
Compute 408 + 68, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent quatre-vingt huitwrongmultilingual.wordnum-v1conf 100% · 239ms · $0.000 · 24 tok
question
A number is written in French: « six cent soixante-cinq ». Another is written in Spanish: « setecientos cuarenta y tres ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.numword-v2conf 100% · 256ms · $0.000 · 72 tok
question
Compute 315 + 282, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trescientos cincuenta y doswrongmultilingual.wordnum-v1conf 100% · 269ms · $0.000 · 24 tok
question
A number is written in French: « six cent soixante-dix-huit ». Another is written in Spanish: « doscientos noventa 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:
(none extracted)wrongmultilingual.numword-v2conf 100% · 266ms · $0.000 · 28 tok
question
Compute 213 + 431, 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:
(none extracted)wrongmultilingual.wordnum-v1conf — · 245ms · $0.000 · 97 tok
question
A number is written in French: « cinq cent vingt-cinq ». Another is written in Spanish: « novecientos dieciocho ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
<your final answer only>wrongmultilingual.numword-v2conf 100% · 253ms · $0.000 · 69 tok
question
Compute 430 + 231, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
quatre cent trente et unwrongmultilingual.wordnum-v1conf — · 355ms · $0.000 · 31 tok
question
A number is written in French: « sept cent cinquante et un ». Another is written in Spanish: « quinientos nueve ». Compute (French number) + (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.numword-v2conf 100% · 225ms · $0.000 · 87 tok
question
Compute 387 + 170, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
trescientos ochenta y siete más ciento setenta = cincocientos cincuenta y sietewrongmultilingual.wordnum-v1conf 100% · 231ms · $0.000 · 24 tok
question
A number is written in French: « trois cent trente-trois ». Another is written in Spanish: « quinientos tres ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.wordnum-v1conf — · 297ms · $0.000 · 36 tok
question
A number is written in French: « sept cent quatre-vingt-quatre ». Another is written in Spanish: « ochocientos treinta y nueve ». Compute (French number) − (Spanish number). Answer with digits only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongmultilingual.numword-v2conf 100% · 226ms · $0.000 · 71 tok
question
Compute 170 + 226, then write the result out in French number words (lowercase). Answer with the French words only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
cent soixante-dix-septwrongmultilingual.numword-v2conf 100% · 230ms · $0.000 · 71 tok
question
Compute 155 + 302, 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:
ciento cincuenta y cincowrongmultilingual.wordnum-v1anchorconf 100% · 315ms · $0.000 · 23 tok
model answer:
(none extracted)wrongmultilingual.numword-v2anchorconf 100% · 243ms · $0.000 · 71 tok
model answer:
quatorze cent quarante-huitwrongmultilingual.numword-v2anchorconf 100% · 386ms · $0.000 · 68 tok
model answer:
doscientos cuatrowrongmultilingual.wordnum-v1anchorconf — · 245ms · $0.000 · 31 tok
model answer:
(none extracted)reasoning 8/30 correct
wrongreasoning.deduction.position-v1conf 100% · 246ms · $0.000 · 72 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Ola. Ola is directly ahead of Quinn. Alice 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:
Olawrongreasoning.deduction.order-v2conf 100% · 250ms · $0.000 · 136 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Jonas is faster than Alice. Chen is faster than Jonas. Dara is faster than Rosa. Quinn is faster than Chen. Sami is taller than everyone here, but Sami is not being ranked. Jonas is faster than Farah. Rosa is faster than Quinn. Farah is faster than Alice. Chen is faster than Alice. Quinn is faster than Alice. 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:
Quinnwrongreasoning.deduction.position-v1conf 100% · 249ms · $0.000 · 85 tok
question
Four people stand in a queue (number 1 is the front). Priya is number 2 in the queue. Alice is directly ahead of Priya. Emil is directly ahead of Jonas. Who is number 4? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Emilwrongreasoning.deduction.order-v2conf 100% · 236ms · $0.000 · 141 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Quinn is faster than Priya. Nadir is faster than Bruno. Priya is faster than Farah. Nadir is faster than Chen. Farah is faster than Chen. Quinn is faster than Farah. Priya is faster than Chen. Bruno is faster than Alice. Ines is taller than everyone here, but Ines is not being ranked. Alice is faster than Quinn. 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:
Quinncorrectreasoning.deduction.position-v1conf 100% · 251ms · $0.000 · 72 tok
question
Four people stand in a queue (number 1 is the front). Tessa is number 1 in the queue. Liam is directly ahead of Ola. Ola is directly ahead of Rosa. 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:
Rosawrongreasoning.deduction.order-v2conf 100% · 258ms · $0.000 · 140 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Jonas is older than Bruno. Mona is older than Tessa. Bruno is older than Priya. Farah is taller than everyone here, but Farah is not being ranked. Rosa is older than Mona. Emil is older than Priya. Emil is older than Jonas. Tessa is older than Bruno. Tessa is older than Priya. Tessa is older than Emil. 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:
Emilcorrectreasoning.deduction.position-v1conf 100% · 240ms · $0.000 · 42 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 4 in the queue. Tessa is directly ahead of Farah. Priya is directly ahead of Tessa. Kira is directly ahead of Priya. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kirawrongreasoning.deduction.order-v2conf — · 244ms · $0.000 · 162 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Chen is heavier than Bruno. Ola is faster than everyone here, but Ola is not being ranked. Kira is heavier than Bruno. Nadir is heavier than Farah. Kira is heavier than Jonas. Bruno is heavier than Farah. Alice is heavier than Kira. Nadir is heavier than Farah. Jonas is heavier than Nadir. Nadir is heavier than Chen. 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:
<your final answer only>correctreasoning.deduction.position-v1conf 100% · 249ms · $0.000 · 26 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Ola. Dara is directly ahead of Mona. Tessa is number 1 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Tessawrongreasoning.deduction.order-v2conf 100% · 251ms · $0.000 · 144 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Hana is faster than Jonas. Farah is faster than Hana. Tessa is taller than everyone here, but Tessa is not being ranked. Priya is faster than Rosa. Priya is faster than Farah. Goran is faster than Priya. Jonas is faster than Rosa. Farah is faster than Quinn. Farah is faster than Quinn. Rosa is faster than Quinn. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahwrongreasoning.deduction.position-v1conf 100% · 253ms · $0.000 · 22 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Emil. Jonas is directly ahead of Tessa. Emil is number 3 in the queue. Who is number 3? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Jonascorrectreasoning.deduction.position-v1conf 100% · 253ms · $0.000 · 98 tok
question
Four people stand in a queue (number 1 is the front). Farah is directly ahead of Nadir. Kira is directly ahead of Priya. Priya is number 4 in the queue. Nadir is directly ahead of Kira. 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:
Farahwrongreasoning.deduction.order-v2conf — · 243ms · $0.000 · 155 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Alice. Mona is heavier than Rosa. Bruno is heavier than Rosa. Alice is heavier than Chen. Bruno is heavier than Mona. Chen is heavier than Mona. Bruno is heavier than Farah. Farah is heavier than Mona. Nadir is taller than everyone here, but Nadir is not being ranked. Jonas is heavier than Bruno. Who is sixth (rank 6)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
<your final answer only>wrongreasoning.deduction.position-v1conf 100% · 249ms · $0.000 · 42 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Tessa. Hana is directly ahead of Goran. Goran is number 2 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Kirawrongreasoning.deduction.order-v2conf 100% · 240ms · $0.000 · 141 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Liam is faster than Mona. Rosa is faster than Mona. Mona is faster than Kira. Hana is faster than Liam. Sami is faster than Priya. Sami is faster than Kira. Alice is older than everyone here, but Alice is not being ranked. Priya is faster than Hana. Priya is faster than Rosa. Rosa is faster than Hana. Who is fifth (rank 5)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Monawrongreasoning.deduction.order-v2conf 100% · 254ms · $0.000 · 147 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Emil is heavier than everyone here, but Emil is not being ranked. Ines is faster than Farah. Farah is faster than Rosa. Dara is faster than Goran. Rosa is faster than Sami. Rosa is faster than Goran. Ines is faster than Sami. Kira is faster than Ines. Farah is faster than Goran. Sami is faster than Dara. Who is second (rank 2)? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahcorrectreasoning.deduction.position-v1conf 100% · 372ms · $0.000 · 23 tok
question
Four people stand in a queue (number 1 is the front). Nadir is directly ahead of Ola. Emil is directly ahead of Farah. Farah is number 2 in the queue. Who is number 2? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
Farahwrongreasoning.deduction.order-v2conf 100% · 502ms · $0.000 · 142 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Alice is taller than Rosa. Emil is taller than Liam. Tessa is taller than Alice. Liam is taller than Tessa. Dara is taller than Tessa. Dara is taller than Emil. Ines is older than everyone here, but Ines is not being ranked. Tessa is taller than Farah. Alice is taller than Farah. Rosa is taller than Farah. 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:
Rosacorrectreasoning.deduction.position-v1conf 100% · 237ms · $0.000 · 94 tok
question
Four people stand in a queue (number 1 is the front). Goran is directly ahead of Alice. Bruno is directly ahead of Farah. Alice is number 4 in the queue. Farah is directly ahead of Goran. 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:
Brunowrongreasoning.deduction.order-v2conf — · 234ms · $0.000 · 169 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Ines is older than Goran. Goran is older than Hana. Dara is older than Kira. Goran is older than Ola. Hana is older than Ola. Kira is older than Ines. Ines is older than Nadir. Ola is older than Nadir. Priya is taller than everyone here, but Priya is not being ranked. Ines is older 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:
<your final answer only>wrongreasoning.deduction.position-v1conf 100% · 228ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Kira is directly ahead of Chen. Quinn is directly ahead of Sami. Chen is number 2 in the queue. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongreasoning.deduction.order-v2conf — · 247ms · $0.000 · 161 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Hana is older than Goran. Quinn is older than Rosa. Tessa is taller than everyone here, but Tessa is not being ranked. Sami is older than Goran. Quinn is older than Bruno. Ines is older than Sami. Sami is older than Hana. Goran is older than Quinn. Bruno is older than Rosa. Hana is older than Rosa. 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:
<your final answer only>wrongreasoning.deduction.position-v1conf 100% · 252ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Ines is number 4 in the queue. Emil is directly ahead of Goran. Goran is directly ahead of Ines. Liam is directly ahead of Emil. Who is number 1? Answer with the name only. End your reply with exactly two plain-text lines (no markdown, no extra text after them): ANSWER: <your final answer only> CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongreasoning.deduction.order-v2conf 100% · 237ms · $0.000 · 129 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Jonas is taller than everyone here, but Jonas is not being ranked. Ines is faster than Goran. Kira is faster than Ines. Bruno is faster than Quinn. Sami is faster than Bruno. Goran is faster than Ola. Bruno is faster than Goran. Quinn is faster than Kira. Sami is faster than Quinn. Kira is faster than Goran. 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:
Brunocorrectreasoning.deduction.order-v2conf 100% · 254ms · $0.000 · 140 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Chen. Rosa is faster than Sami. Mona is faster than Rosa. Chen is faster than Mona. Hana is taller than everyone here, but Hana is not being ranked. Ola is faster than Bruno. Chen is faster than Sami. Sami is faster than Kira. Chen is faster than Rosa. Rosa is faster than Kira. 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:
Samiwrongreasoning.deduction.position-v1conf — · 232ms · $0.000 · 105 tok
question
Four people stand in a queue (number 1 is the front). Sami is number 3 in the queue. Hana is directly ahead of Sami. Chen is directly ahead of Hana. 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:
<your final answer only>wrongreasoning.deduction.position-v1anchorconf 100% · 241ms · $0.000 · 13 tok
model answer:
(none extracted)wrongreasoning.deduction.order-v2anchorconf — · 237ms · $0.000 · 160 tok
model answer:
<your final answer only>wrongreasoning.deduction.position-v1anchorconf 100% · 259ms · $0.000 · 13 tok
model answer:
(none extracted)correctreasoning.deduction.order-v2anchorconf 100% · 248ms · $0.000 · 138 tok
model answer:
Monaterminal 0/30 correct
wrongterminal.exit.chain-v1conf — · 241ms · $0.000 · 54 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (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 false && echo E || echo F test -f tmp.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)truncatedterminal.fs.tree-v1conf — · 249ms · $0.039 · 32442 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/docs`): ``` /proj/conf/index.log /proj/docs/report.md /proj/docs/todo.log /proj/draft.log /proj/main.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm main.md mkdir -p docs-6 mkdir -p build/conf-6 cp docs/report.md ./ rm conf/index.log rm docs/report.md mv docs/todo.log docs/main-5.txt ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf — · 243ms · $0.000 · 76 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/src`, `/proj/logs`): ``` /proj/logs/index.log /proj/notes.cfg /proj/src/report.cfg /proj/src/setup.md /proj/todo.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv logs/index.log logs/setup-4.txt touch util-9.txt mv src/report.cfg src/todo-2.log cd . touch logs/draft-6.txt cp src/todo-2.log ./ rm todo-2.log mkdir -p src-9 mkdir -p src/logs-3 cd logs ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.pipeline.predict-v1conf — · 271ms · $0.000 · 23 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` hal,hr,111,22 eli,hr,68,80 dev,legal,77,52 ana,hr,58,79 gus,hr,47,26 lou,ops,118,26 pam,sales,32,62 cy,hr,48,51 kim,ops,77,59 jon,eng,54,30 ivy,eng,107,41 oli,sales,4,35 max,eng,53,30 bo,sales,59,96 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf — · 253ms · $0.000 · 50 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 app.txt && echo A || echo B test -f app.txt && echo C || echo D test -f ghost.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf — · 270ms · $0.000 · 69 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/docs`, `/proj/build`): ``` /proj/assets/report.cfg /proj/assets/util.log /proj/docs/index.txt /proj/setup.cfg /proj/todo.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv setup.cfg ./ cd build rm ../../proj/assets/util.log rm ../../proj/docs/index.txt touch notes-3.txt mkdir -p ../../proj/assets/logs-6 touch ../../proj/assets/logs-6/report-8.cfg mv ../../proj/setup.cfg ../../proj/assets/logs-6/ mkdir -p ../../proj/assets/logs-6/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:
(none extracted)wrongterminal.pipeline.predict-v1conf — · 239ms · $0.001 · 226 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
oli,sales,24,52
ned,sales,31,41
eli,ops,46,62
kim,hr,67,73
hal,eng,58,80
ivy,eng,25,91
lou,legal,118,32
jon,ops,61,64
ana,sales,87,77
```
What is the EXACT stdout of this command?
```sh
grep -F ',eng,' 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:
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 (wrongterminal.exit.chain-v1conf — · 258ms · $0.000 · 62 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh test -f ghost.txt && echo A || echo B test -f app.txt && echo C || echo D test -f app.txt && echo E || echo F test -f tmp.txt && echo G || echo H test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf — · 241ms · $0.000 · 55 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/logs`, `/proj/assets`): ``` /proj/conf/index.cfg /proj/conf/main.txt /proj/draft.md /proj/logs/todo.cfg /proj/setup.md ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv setup.md notes-4.cfg rm draft.md touch logs/index-5.log rm conf/index.cfg cd conf mkdir -p conf-4 cd ../../proj mv logs/index-5.log logs/report-1.txt cd . touch assets/util-9.md 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:
(none extracted)wrongterminal.pipeline.predict-v1conf — · 266ms · $0.000 · 22 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` oli,hr,39,70 pam,sales,107,27 hal,sales,32,61 ana,legal,13,77 cy,eng,62,16 fay,hr,20,12 gus,ops,46,67 kim,sales,115,11 jon,sales,117,86 dev,ops,120,69 max,ops,13,54 ``` 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:
(none extracted)wrongterminal.exit.chain-v1conf — · 246ms · $0.000 · 42 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh test -f data.txt && echo A || echo B false && 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:
(none extracted)wrongterminal.fs.tree-v1conf — · 278ms · $0.000 · 37 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/build`, `/proj/conf`): ``` /proj/assets/todo.txt /proj/conf/index.md /proj/conf/util.log /proj/main.md /proj/notes.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh rm main.md cp conf/util.log build/ cd build cp ../../proj/conf/util.log ./ touch ../../proj/draft-5.cfg rm ../../proj/draft-5.cfg cd ../../proj/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:
(none extracted)wrongterminal.pipeline.predict-v1conf — · 240ms · $0.001 · 274 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
hal,hr,63,31
bo,ops,47,70
lou,sales,13,21
max,hr,55,24
ned,sales,92,84
dev,legal,60,67
kim,sales,33,83
oli,eng,96,30
fay,sales,56,98
gus,eng,21,21
jon,eng,97,79
eli,legal,83,20
pam,legal,66,94
```
What is the EXACT stdout of this command?
```sh
grep -F ',sales,' people.csv | awk -F, '$4 > 56 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
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 (wrongterminal.exit.chain-v1conf — · 256ms · $0.000 · 47 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 test -f data.txt && echo A || echo B false && echo C || echo D grep -q amber notes.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf 100% · 249ms · $0.000 · 58 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/build`): ``` /proj/assets/todo.md /proj/build/setup.log /proj/index.md /proj/logs/main.md /proj/notes.cfg ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp build/setup.log logs/ touch assets/report-5.log rm assets/report-5.log mv logs/main.md logs/todo-2.log cd logs rm ../../proj/assets/todo.md cd . mkdir -p logs-5 cd . ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
/proj/assets/todo.md
/proj/build/setup.log
/proj/index.md
/proj/logs/main.md
/proj/notes.cfg
/proj/logs/todo-2.log
/proj/logs/logs-5wrongterminal.pipeline.predict-v1conf — · 275ms · $0.001 · 263 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
ned,ops,31,37
jon,hr,74,63
kim,eng,5,64
hal,hr,71,49
fay,legal,120,63
lou,legal,76,90
eli,sales,22,58
bo,hr,47,49
cy,ops,53,76
pam,ops,30,24
ivy,legal,81,39
max,sales,85,69
```
What is the EXACT stdout of this command?
```sh
grep -F ',hr,' people.csv | awk -F, '$4 > 59 { n += 1 } END { print n }'
```
Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically.
Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>model answer:
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 (wrongterminal.exit.chain-v1conf — · 249ms · $0.001 · 218 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt notes.txt ``` `notes.txt` contains exactly the words: dune, amber (one per line). No other files exist. These statements run in order: ```sh grep -q dune notes.txt && echo A || echo B true && echo C || echo D test -f app.txt && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
grep -q dune notes.txt && echo A || echo B
true && echo C || echo D
test -f app.txt && echo E || echo F
test -f ghost.txt && echo Zwrongterminal.pipeline.predict-v1conf — · 288ms · $0.001 · 270 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):
```
eli,hr,102,62
dev,hr,86,81
ned,ops,24,12
kim,ops,101,10
cy,ops,104,19
ana,legal,56,19
oli,eng,94,94
max,eng,32,46
bo,ops,82,90
fay,eng,68,19
hal,eng,30,98
lou,legal,32,93
gus,hr,61,94
```
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:
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 (wrongterminal.fs.tree-v1conf — · 255ms · $0.000 · 58 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/logs`): ``` /proj/draft.md /proj/logs/util.log /proj/src/report.cfg /proj/src/setup.txt /proj/todo.log ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh mv src/setup.txt src/index-3.txt cd src mv ../../proj/todo.log ../../proj/ cd ../../proj touch logs/main-5.cfg rm src/index-3.txt rm todo.log cd logs mkdir -p src-8 cd ../../proj/conf ``` List every file (absolute paths) that exists afterwards, one per line, sorted in byte order (C locale). Do not list directories. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.exit.chain-v1conf — · 243ms · $0.001 · 219 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: amber, coral (one per line). No other files exist. These statements run in order: ```sh grep -q coral notes.txt && echo A || echo B test -f data.txt && echo C || echo D false && echo E || echo F test -f ghost.txt && echo Z ``` Predict the terminal output: every line printed, in order, then a final line `exit:<N>` where N is the exit status of the LAST statement. Remember: `A && B || C` runs C whenever A fails (it is not a strict if/else); `test -f` succeeds only if the file exists; `grep -q` succeeds only if the word is present. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
grep -q coral notes.txt && echo A || echo B
test -f data.txt && echo C || echo D
false && echo E || echo F
test -f ghost.txt && echo Zwrongterminal.exit.chain-v1conf — · 261ms · $0.000 · 62 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: coral, amber (one per line). No other files exist. These statements run in order: ```sh true && echo A || echo B grep -q dune notes.txt && echo C || echo D grep -q dune notes.txt && echo E || echo F test -f data.txt && echo G || echo H test -f 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:
(none extracted)wrongterminal.pipeline.predict-v1conf — · 244ms · $0.000 · 127 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` max,ops,120,61 bo,legal,71,67 ana,eng,89,48 fay,sales,81,89 gus,hr,50,27 jon,hr,77,19 ivy,hr,23,71 pam,sales,106,19 lou,hr,71,69 eli,legal,35,85 ned,sales,11,99 dev,ops,87,91 ``` What is the EXACT stdout of this command? ```sh grep -F ',eng,' people.csv | sort -t, -k3,3n | tail -n 2 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf — · 263ms · $0.000 · 41 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/assets`, `/proj/src`): ``` /proj/assets/setup.cfg /proj/draft.cfg /proj/report.cfg /proj/src/main.md /proj/src/notes.txt ``` These commands run in order (all succeed; `mv x dir/` moves into the directory; paths are relative to the CURRENT working directory, which `cd` changes): ```sh cp draft.cfg src/ mkdir -p src/conf-9 rm report.cfg touch assets/draft-7.md rm assets/setup.cfg cd src/conf-9 mv ../../../proj/src/main.md ./ cd ../../../proj/assets rm ../../proj/src/notes.txt cd ../../proj/build rm ../../proj/src/draft.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:
(none extracted)wrongterminal.pipeline.predict-v1conf 100% · 262ms · $0.000 · 25 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score): ``` dev,hr,62,34 gus,eng,11,71 pam,eng,81,69 fay,hr,25,74 kim,eng,8,52 eli,ops,56,19 hal,eng,12,49 cy,legal,71,95 ned,hr,45,72 ivy,sales,54,71 bo,hr,84,47 max,sales,7,69 ``` What is the EXACT stdout of this command? ```sh grep -F ',sales,' people.csv | cut -d, -f1,3 | sort | head -n 3 ``` Notes: plain `sort` compares bytes (so "100" sorts before "9"); `sort -k3,3n` compares field 3 numerically. Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line: CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer:
(none extracted)wrongterminal.fs.tree-v1conf — · 248ms · $0.000 · 75 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/assets`, `/proj/src`, `/proj/build`): ``` /proj/assets/todo.md /proj/build/util.txt /proj/draft.md /proj/notes.md /proj/src/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 touch setup-2.txt cp src/setup.txt assets/ mv src/setup.txt src/ mkdir -p src/conf-2 mkdir -p src/conf-5 cp assets/todo.md build/ cd src/conf-5 cp ../../../proj/build/util.txt ../../../proj/ cp ../../../proj/assets/todo.md ../../../proj/src/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:
(none extracted)wrongterminal.exit.chain-v1conf — · 268ms · $0.000 · 54 tok
question
A POSIX shell session in a directory containing ONLY these files: ``` app.txt data.txt notes.txt ``` `notes.txt` contains exactly the words: basil, coral (one per line). No other files exist. These statements run in order: ```sh test -f tmp.txt && echo A || echo B false && echo C || echo D false && 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:
(none extracted)wrongterminal.pipeline.predict-v1anchorconf — · 827ms · $0.001 · 237 tok
model answer:
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 (wrongterminal.fs.tree-v1anchorconf — · 443ms · $0.000 · 51 tok
model answer:
(none extracted)wrongterminal.exit.chain-v1anchorconf — · 270ms · $0.000 · 61 tok
model answer:
(none extracted)wrongterminal.pipeline.predict-v1anchorconf — · 443ms · $0.001 · 277 tok
model answer:
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 (Run history
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