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0.0390.500.000223ms$0.026
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agentic 0/30 correct
wrongagentic.tools.context-load-v1conf 100% · 289ms · $0.000 · 194 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 (172 records, format: id|customer|region|item|qty|status):
```
1846|dorian|south|rotor|56|held
1677|dorian|west|gasket|68|held
1601|dorian|west|gasket|31|shipped
1694|gale|north|pump|10|pending
1296|ionic|west|panel|32|held
1959|birch|west|pump|35|pending
1442|birch|south|valve|54|held
1971|fulton|north|panel|92|paid
1305|ionic|west|cable|85|held
1664|birch|east|cable|29|paid
1334|fulton|north|panel|69|shipped
1941|ember|east|gasket|65|held
1673|ionic|north|pump|18|pending
1543|ionic|south|panel|52|pending
1348|fulton|west|rotor|82|paid
1917|ionic|east|sensor|99|paid
1954|birch|east|sensor|56|shipped
1840|gale|east|gasket|45|pending
1986|cobalt|north|pump|86|shipped
1326|fulton|north|frame|43|held
1977|birch|north|gasket|56|held
1625|dorian|east|valve|97|held
1390|harbor|south|panel|15|shipped
1445|juno|south|rotor|53|shipped
1453|ionic|east|sensor|30|pending
1502|ionic|south|gasket|97|pending
1946|dorian|south|cable|51|pending
1520|harbor|west|sensor|39|pending
1964|ionic|north|sensor|35|shipped
1276|ionic|west|cable|83|pending
1533|cobalt|east|sensor|22|shipped
1712|birch|north|valve|37|paid
1672|ember|south|pump|58|shipped
1836|birch|south|sensor|97|shipped
1832|cobalt|south|pump|42|paid
1867|ember|south|frame|97|held
1734|harbor|west|panel|12|shipped
1396|dorian|south|valve|85|shipped
1461|fulton|south|panel|69|shipped
1665|gale|north|rotor|10|held
1740|birch|north|pump|83|held
1995|cobalt|south|cable|94|held
1979|juno|east|rotor|10|shipped
1982|juno|east|sensor|79|paid
1325|acme|north|frame|67|shipped
1994|acme|east|panel|61|paid
1870|gale|south|rotor|27|paid
1589|juno|east|rotor|16|paid
1687|ember|south|valve|14|shipped
1858|birch|south|sensor|33|held
1653|fulton|south|frame|41|pending
1752|acme|north|rotor|80|pending
1465|acme|west|gasket|64|shipped
1790|ionic|west|rotor|17|paid
1551|acme|south|rotor|52|held
1436|gale|south|pump|52|shipped
1591|acme|west|frame|44|held
1636|harbor|east|rotor|17|paid
1607|birch|south|cable|37|shipped
1537|cobalt|south|cable|95|shipped
1355|fulton|north|valve|12|shipped
1291|ionic|north|rotor|36|pending
1737|acme|south|pump|95|held
1341|acme|west|frame|60|shipped
1375|ionic|west|panel|90|held
1647|juno|west|valve|70|shipped
1596|gale|north|valve|38|pending
1578|gale|east|cable|85|pending
1301|ionic|south|sensor|36|pending
1504|birch|north|valve|28|paid
1805|ionic|east|panel|38|pending
1382|juno|east|valve|87|shipped
1702|gale|south|gasket|94|shipped
1331|birch|west|sensor|30|pending
1758|birch|north|rotor|87|shipped
1936|cobalt|south|rotor|67|pending
1885|juno|south|sensor|80|shipped
1567|cobalt|west|valve|15|paid
1513|cobalt|south|cable|38|shipped
1681|birch|west|frame|43|paid
1354|birch|south|frame|21|pending
1508|cobalt|north|gasket|39|shipped
1524|ember|west|panel|20|paid
1906|harbor|west|panel|59|pending
1521|fulton|south|frame|64|pending
1327|gale|south|frame|56|shipped
1408|harbor|south|gasket|83|pending
1989|ionic|north|gasket|18|shipped
1312|ionic|west|valve|24|pending
1860|fulton|east|cable|55|held
1722|juno|east|pump|36|held
1280|ionic|east|frame|44|pending
1727|harbor|west|sensor|83|held
1447|birch|north|pump|72|pending
1619|juno|west|valve|45|held
1415|gale|west|valve|75|pending
1901|ember|east|rotor|72|pending
1746|birch|east|cable|90|shipped
1362|acme|south|rotor|33|paid
1816|birch|west|frame|49|paid
1772|juno|east|cable|54|held
1800|juno|south|sensor|66|paid
1828|ember|south|panel|75|paid
1421|juno|west|rotor|47|shipped
1583|acme|south|gasket|40|shipped
1383|gale|south|frame|80|pending
1352|dorian|south|pump|19|pending
1926|dorian|east|frame|82|pending
1640|cobalt|south|valve|32|held
1298|ionic|west|valve|13|pending
1777|acme|south|frame|31|pending
1725|dorian|south|gasket|14|shipped
1564|dorian|north|frame|48|held
1950|cobalt|west|cable|53|shipped
1319|ionic|north|pump|70|pending
1496|juno|west|pump|20|pending
1913|birch|south|gasket|41|paid
1381|dorian|west|frame|18|held
1822|ionic|east|sensor|16|pending
1432|juno|south|cable|85|held
1380|birch|north|rotor|74|shipped
1643|fulton|south|sensor|66|held
1426|gale|east|valve|68|held
1699|juno|east|sensor|30|paid
1765|harbor|west|gasket|21|pending
1715|fulton|north|sensor|30|held
1922|ember|north|valve|87|pending
1532|acme|west|panel|28|pending
1471|ionic|north|gasket|89|pending
1845|harbor|west|panel|47|pending
1783|ember|south|pump|14|paid
1682|ember|east|panel|49|shipped
1368|ember|east|cable|61|shipped
1370|acme|south|panel|63|shipped
1571|fulton|north|cable|84|paid
1651|juno|west|gasket|49|pending
1528|juno|south|pump|87|held
1708|cobalt|north|gasket|25|pending
1794|ember|south|rotor|38|pending
1558|harbor|east|rotor|46|paid
1919|acme|east|valve|15|pending
1614|gale|west|frame|85|shipped
1898|ionic|east|rotor|21|shipped
1963|ember|east|pump|53|held
1284|ionic|west|pump|36|shipped
1853|ionic|east|frame|67|paid
1629|gale|east|pump|18|paid
1544|ember|west|sensor|94|pending
1809|harbor|east|valve|57|pending
1484|acme|north|pump|39|paid
1458|dorian|east|gasket|37|held
1515|cobalt|east|cable|85|pending
1877|acme|north|gasket|36|pending
1892|cobalt|south|sensor|57|paid
1881|fulton|south|panel|81|held
1938|acme|north|gasket|44|pending
1535|dorian|west|gasket|45|paid
1659|birch|east|cable|23|held
1932|birch|north|sensor|72|paid
1495|juno|west|panel|15|paid
1488|ionic|west|rotor|28|held
1478|dorian|north|cable|81|paid
1517|ember|north|gasket|81|held
1553|ionic|west|valve|62|paid
1833|ember|north|sensor|54|held
1403|gale|east|frame|51|shipped
1423|ionic|north|gasket|43|held
1747|birch|south|rotor|87|pending
1290|ionic|west|frame|79|pending
1320|ionic|west|pump|34|held
1951|harbor|west|pump|74|paid
1792|cobalt|west|gasket|59|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "ionic" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 47, 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: const orderLedger = [ // ... (insert order ledger data here) ]; const policy = (order) => { if (order.customer === "ionic" && order.region === "west" && order.status === "pending") { if (order.qty > 47) { return { tool: "restock", args: { item: order.item, qty: order.qty } }; } else { return { tool: "cancel_order", args: { order_id: order.id } }; } } return null; }; const result = orderLedger .filter(policy) .sort((a, b) => a.id - b.id) .map(policy); const toolCalls = result.map((order) => ({ tool: order.tool, args: order.args, })); console.log(JSON.stringify(toolCalls, null, 2));
wrongagentic.tools.ledger-v1conf · 222ms · $0.000 · 1 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: $781
- lima: $604
- oscar: $400

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $413 from "lima" to "oscar"
2. pay $166 from "oscar" to "lima"
3. pay $163 from "oscar" to "delta"
4. pay $194 from "lima" to "delta"
5. pay $437 from "delta" 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.deploy-v1conf 100% · 182ms · $0.000 · 134 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool: deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool: deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool: deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool: deploy", "args": {"service": "notifier"}} ]
wrongagentic.tools.triage-v1conf · 288ms · $0.000 · 1 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 → novak
- auth → tanaka
- payments → okafor

INCIDENTS:
1. "export file corrupted" (category: data, priority 9)
2. "export file corrupted" (category: data, priority 9)
3. "card declined at checkout" (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)
wrongagentic.tools.triage-v1conf 100% · 475ms · $0.000 · 187 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "cannot reset password" (category: auth, priority 9)
2. "records missing after import" (category: data, priority 4)
3. "cannot reset password" (category: auth, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ ["create_ticket", {"title": "cannot reset password", "priority": 9}], ["create_ticket", {"title": "records missing after import", "priority": 4}], ["create_ticket", {"title": "cannot reset password", "priority": 9}], ["assign", {"ticket_id": "TCK-3", "agent": "okafor"}], ["assign", {"ticket_id": "TCK-2", "agent": "haddad"}], ["escalate", {"ticket_id": "TCK-3"}], ["close_ticket", {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}], ["close_ticket", {"ticket_id": "TCK-3", "resolution": "duplicate of TCK-1"}] ]
wrongagentic.tools.ledger-v1conf · 191ms · $0.000 · 1 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $419
- echo: $871
- lima: $568

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $213 from "alpha" to "echo"
2. pay $426 from "alpha" to "lima"
3. pay $576 from "echo" to "alpha"
4. pay $374 from "alpha" to "echo"
5. pay $549 from "alpha" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1conf 100% · 437ms · $0.000 · 190 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 (245 records, format: id|customer|region|item|qty|status):
```
1773|ionic|east|frame|48|shipped
1596|ember|east|frame|63|paid
1712|fulton|east|panel|40|held
1836|birch|east|gasket|55|shipped
1831|birch|south|pump|31|pending
1829|fulton|south|gasket|77|paid
1269|fulton|north|panel|82|pending
1755|gale|east|cable|82|pending
1644|fulton|north|sensor|67|pending
1429|juno|north|gasket|58|paid
1331|juno|south|gasket|41|shipped
1667|ionic|west|panel|69|paid
1877|juno|west|cable|83|pending
1887|juno|north|frame|73|pending
1085|juno|north|sensor|96|pending
1436|juno|south|panel|64|paid
1372|dorian|west|rotor|27|pending
1422|gale|east|cable|28|pending
1950|juno|north|cable|56|held
1371|juno|west|panel|75|pending
1339|dorian|west|frame|40|paid
1905|cobalt|south|panel|79|paid
1265|birch|south|sensor|63|shipped
1131|ember|east|gasket|87|paid
1738|ember|north|rotor|88|pending
1582|dorian|west|sensor|29|shipped
1932|juno|east|pump|99|pending
1241|cobalt|north|gasket|82|paid
1063|dorian|south|rotor|98|held
1901|birch|west|pump|71|paid
1282|harbor|west|gasket|25|paid
1629|ionic|south|valve|65|shipped
1018|dorian|west|pump|32|pending
1392|juno|east|panel|86|shipped
1696|juno|east|rotor|49|pending
1565|acme|south|cable|32|paid
1247|ionic|north|cable|77|paid
1945|birch|east|pump|68|shipped
1730|harbor|west|pump|53|shipped
1316|acme|north|cable|98|held
1304|dorian|south|pump|21|shipped
1707|gale|south|sensor|74|shipped
1954|fulton|north|panel|90|held
1447|fulton|north|pump|11|paid
1556|cobalt|east|sensor|64|paid
1816|dorian|east|frame|53|paid
1192|dorian|south|cable|93|pending
1682|birch|north|rotor|94|pending
1534|gale|south|gasket|77|shipped
1931|birch|south|pump|16|paid
1560|cobalt|west|pump|45|shipped
1761|harbor|south|pump|52|pending
1487|gale|west|gasket|37|shipped
1336|acme|east|panel|50|paid
1489|dorian|north|pump|37|shipped
1770|ember|east|frame|97|pending
1432|acme|south|sensor|49|held
1794|gale|east|sensor|77|held
1917|cobalt|east|sensor|39|pending
1217|acme|north|sensor|91|paid
1885|ember|east|panel|52|paid
1342|harbor|south|cable|27|paid
1650|acme|west|cable|57|held
1505|juno|east|rotor|33|held
1235|acme|south|rotor|49|held
1803|ionic|west|gasket|51|paid
1385|fulton|west|valve|37|paid
1225|birch|east|gasket|25|shipped
1620|juno|east|panel|56|held
1257|harbor|north|cable|37|paid
1608|fulton|west|gasket|66|pending
1857|fulton|west|sensor|11|paid
1619|ember|east|sensor|68|held
1328|cobalt|north|rotor|96|paid
1452|juno|west|frame|99|pending
1909|fulton|north|sensor|63|held
1911|ember|west|cable|90|pending
1185|harbor|west|frame|36|shipped
1610|birch|north|frame|28|paid
1201|acme|west|valve|52|paid
1881|gale|north|valve|33|pending
1516|gale|west|panel|99|paid
1699|ember|west|rotor|57|pending
1135|harbor|south|sensor|82|shipped
1718|ember|west|gasket|43|held
1292|ionic|south|panel|27|shipped
1368|harbor|west|sensor|26|held
1520|cobalt|east|cable|72|shipped
1673|fulton|north|cable|39|paid
1156|fulton|east|pump|24|pending
1662|gale|south|gasket|37|held
1214|dorian|west|pump|26|held
1111|fulton|east|panel|63|pending
1486|ember|south|rotor|55|pending
1787|juno|north|cable|91|held
1461|ionic|east|cable|32|shipped
1424|juno|west|panel|63|paid
1406|dorian|east|gasket|28|paid
1298|harbor|north|pump|36|paid
1228|cobalt|east|valve|75|shipped
1680|harbor|north|rotor|41|paid
1474|juno|west|panel|99|pending
1036|dorian|south|pump|80|shipped
1276|dorian|north|pump|43|held
1330|cobalt|west|valve|16|shipped
1139|ionic|north|gasket|65|shipped
1140|fulton|south|pump|12|paid
1260|birch|east|valve|41|pending
1602|ember|east|frame|16|pending
1865|acme|south|valve|48|shipped
1443|ember|east|valve|98|paid
1765|dorian|east|sensor|66|pending
1353|dorian|south|panel|54|held
1843|harbor|north|rotor|86|paid
1277|ember|north|cable|28|pending
1690|juno|north|cable|87|held
1828|ember|south|rotor|34|paid
1141|birch|north|frame|70|shipped
1624|ember|south|panel|64|pending
1780|dorian|west|panel|79|paid
1205|fulton|south|panel|11|shipped
1047|dorian|south|gasket|99|paid
1949|ionic|west|frame|29|held
1554|ember|east|valve|42|shipped
1827|ember|south|frame|46|held
1750|dorian|south|panel|80|held
1041|dorian|west|rotor|49|pending
1849|gale|north|cable|86|shipped
1394|ionic|east|valve|34|shipped
1109|harbor|east|valve|90|held
1119|juno|east|valve|19|pending
1743|acme|south|panel|89|shipped
1127|fulton|south|rotor|65|paid
1177|ember|east|valve|64|pending
1093|harbor|west|gasket|95|pending
1638|birch|west|valve|20|shipped
1716|harbor|east|frame|93|pending
1360|ember|east|cable|44|shipped
1303|ionic|south|frame|16|held
1350|acme|west|rotor|42|pending
1106|ionic|south|sensor|68|paid
1528|harbor|east|rotor|37|held
1482|harbor|west|gasket|98|held
1607|fulton|south|panel|73|pending
1346|fulton|south|frame|82|shipped
1612|acme|east|rotor|19|pending
1288|juno|south|cable|99|shipped
1148|gale|east|gasket|44|pending
1793|ionic|south|rotor|75|pending
1573|cobalt|north|gasket|89|shipped
1110|gale|north|valve|44|pending
1365|dorian|south|cable|70|pending
1764|ionic|north|rotor|83|paid
1825|gale|south|panel|83|shipped
1025|dorian|south|gasket|61|pending
1813|dorian|west|pump|36|paid
1419|ember|west|sensor|21|shipped
1050|dorian|south|frame|81|pending
1529|ionic|south|pump|43|held
1401|gale|south|frame|45|shipped
1071|dorian|north|valve|49|pending
1509|harbor|north|valve|90|paid
1547|gale|east|gasket|53|paid
1522|ionic|west|frame|12|pending
1073|dorian|south|frame|55|held
1310|ember|west|rotor|31|held
1180|cobalt|east|pump|79|held
1557|acme|west|rotor|86|pending
1472|harbor|south|rotor|25|pending
1477|fulton|east|valve|23|pending
1548|dorian|south|sensor|71|pending
1568|cobalt|north|panel|19|held
1894|fulton|north|panel|85|paid
1105|ember|south|pump|91|shipped
1211|ember|north|gasket|58|shipped
1334|ember|east|rotor|61|pending
1700|birch|south|sensor|57|held
1914|ember|west|frame|83|held
1579|ionic|north|pump|35|pending
1092|gale|east|sensor|47|shipped
1281|acme|east|panel|62|held
1951|ionic|north|pump|69|shipped
1948|juno|east|panel|95|pending
1495|birch|west|valve|65|shipped
1013|dorian|south|gasket|81|pending
1030|dorian|east|sensor|43|pending
1499|harbor|south|frame|61|held
1687|acme|south|panel|38|pending
1444|dorian|east|gasket|24|paid
1872|juno|east|rotor|22|shipped
1318|harbor|east|frame|70|shipped
1657|ionic|west|cable|12|pending
1154|harbor|east|valve|17|pending
1724|harbor|west|panel|97|shipped
1714|harbor|north|frame|67|held
1219|harbor|north|cable|91|paid
1938|cobalt|east|rotor|39|shipped
1927|ember|west|sensor|83|pending
1323|acme|west|gasket|24|pending
1362|fulton|north|rotor|42|held
1170|fulton|north|valve|80|held
1592|juno|east|frame|67|shipped
1348|fulton|south|panel|96|paid
1457|juno|north|sensor|34|held
1441|harbor|south|valve|42|held
1352|fulton|west|sensor|12|shipped
1382|harbor|west|sensor|97|pending
1588|gale|north|sensor|34|paid
1593|gale|east|cable|90|pending
1732|birch|west|gasket|72|held
1626|juno|north|sensor|65|pending
1077|gale|west|gasket|36|pending
1446|cobalt|north|rotor|44|shipped
1634|acme|east|frame|50|held
1810|cobalt|west|gasket|77|pending
1862|gale|west|cable|13|paid
1070|dorian|south|sensor|77|pending
1637|ionic|north|panel|94|paid
1375|ionic|south|panel|84|paid
1466|birch|east|rotor|48|shipped
1163|ionic|west|pump|50|paid
1023|dorian|south|rotor|36|held
1088|birch|south|frame|50|shipped
1806|ionic|north|sensor|92|held
1921|juno|south|frame|95|pending
1852|cobalt|west|panel|93|shipped
1413|juno|west|rotor|17|pending
1118|acme|west|valve|61|shipped
1541|ember|east|pump|47|paid
1081|acme|north|frame|30|pending
1039|dorian|south|sensor|96|pending
1823|ember|north|panel|50|held
1240|fulton|east|valve|31|shipped
1159|acme|west|gasket|20|shipped
1099|gale|south|valve|22|held
1797|fulton|west|frame|10|paid
1197|fulton|north|gasket|95|shipped
1683|gale|north|frame|66|held
1663|fulton|north|cable|66|pending
1655|ember|east|cable|34|paid
1598|cobalt|east|valve|61|paid
1254|ionic|south|panel|36|pending
1056|dorian|east|cable|94|pending
1679|juno|south|gasket|90|held
1120|harbor|north|cable|16|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "dorian" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 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: const orderLedger = [ // ... your order ledger data ... ]; const policy = (order) => { if (order.customer === "dorian" && order.region === "south" && order.status === "pending") { return order.id > 1394; } return false; }; const processOrder = (order) => { if (order.qty > 48) { return { tool: "restock", args: { item: order.item, qty: order.qty } }; } else { return { tool: "cancel_order", args: { order_id: order.id } }; } }; const filteredOrders = orderLedger.filter(policy).sort((a, b) => a.id - b.id); const orderedSequence = filteredOrders.map(processOrder); console.log(JSON.stringify(orderedSequence, null, 2));
wrongagentic.tools.triage-v1conf · 197ms · $0.000 · 1 tok
question
You operate a support desk strictly through tool calls.

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

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

CATEGORY → AGENT:
- auth → dubois
- payments → haddad
- infra → chen

INCIDENTS:
1. "cannot reset password" (category: auth, priority 7)
2. "refund double-charged" (category: payments, priority 9)
3. "refund double-charged" (category: payments, priority 9)
4. "SSO loop on login" (category: auth, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1conf 100% · 393ms · $0.000 · 199 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 (245 records, format: id|customer|region|item|qty|status):
```
1759|cobalt|west|frame|73|paid
1297|ionic|west|cable|73|pending
2021|acme|west|pump|14|pending
1637|birch|east|pump|15|pending
1740|fulton|east|panel|17|pending
1143|juno|east|cable|74|pending
1841|fulton|north|sensor|92|paid
2086|dorian|south|panel|10|held
2059|cobalt|south|frame|56|shipped
1567|ember|east|gasket|41|pending
1640|fulton|north|frame|32|held
2041|gale|west|valve|32|paid
1678|birch|north|valve|59|pending
1190|ember|west|rotor|28|shipped
1569|birch|north|gasket|36|paid
1319|harbor|north|pump|62|paid
1634|juno|south|valve|53|paid
1800|dorian|east|valve|65|paid
1783|dorian|south|valve|35|held
1418|gale|north|frame|65|paid
1234|birch|west|valve|31|shipped
1483|ember|south|cable|73|paid
1901|acme|east|valve|18|pending
1927|acme|south|valve|51|pending
1469|birch|north|cable|40|held
1892|cobalt|south|rotor|24|shipped
1652|cobalt|west|frame|95|pending
1316|harbor|east|sensor|32|shipped
1273|acme|east|rotor|77|held
1344|juno|north|rotor|20|pending
1601|acme|south|pump|94|pending
1500|birch|south|sensor|11|paid
1394|cobalt|south|cable|92|held
1572|birch|north|pump|25|shipped
1769|harbor|north|cable|30|shipped
1544|harbor|south|panel|73|shipped
1983|ionic|south|rotor|17|pending
1960|juno|south|pump|92|pending
1956|ionic|west|gasket|11|paid
1410|birch|west|sensor|51|pending
1897|dorian|south|gasket|96|shipped
1492|dorian|north|pump|54|held
1987|gale|west|rotor|63|paid
1811|cobalt|south|pump|92|pending
2002|cobalt|west|panel|67|shipped
1252|juno|north|panel|20|pending
1722|harbor|east|valve|57|paid
1613|birch|west|pump|26|held
1197|fulton|north|valve|81|held
1966|gale|south|sensor|67|paid
1624|birch|south|sensor|71|pending
1536|ember|south|valve|85|pending
1261|cobalt|north|panel|30|pending
1747|dorian|north|cable|99|held
1428|ionic|south|gasket|88|pending
1844|ionic|south|valve|11|shipped
1671|acme|south|gasket|88|shipped
1330|cobalt|east|pump|21|pending
1789|acme|north|sensor|86|paid
1130|juno|east|cable|96|shipped
1592|harbor|west|pump|96|pending
1296|ember|east|panel|54|held
1237|fulton|east|valve|69|paid
1856|birch|east|pump|15|shipped
2014|ember|east|panel|11|pending
2052|gale|west|pump|47|pending
1967|birch|north|gasket|25|paid
2046|acme|west|pump|97|pending
1466|juno|south|frame|85|paid
1406|ember|north|cable|45|pending
2073|ionic|south|frame|87|pending
1462|gale|south|pump|85|held
1166|acme|north|frame|55|held
1397|birch|east|gasket|50|paid
1218|dorian|south|cable|61|held
1984|juno|east|panel|43|paid
1606|birch|south|pump|33|shipped
1513|birch|south|cable|19|paid
1456|ember|east|pump|99|paid
1667|harbor|north|cable|89|paid
1421|harbor|south|gasket|40|paid
1355|ionic|north|valve|88|held
1288|fulton|south|sensor|94|paid
1973|juno|south|rotor|62|shipped
1239|cobalt|west|rotor|19|shipped
2011|juno|south|gasket|35|paid
1317|juno|north|frame|67|held
2065|juno|west|frame|11|shipped
1110|juno|east|panel|76|pending
1554|ember|south|pump|67|shipped
1906|acme|east|cable|15|shipped
1995|dorian|south|pump|10|pending
1617|acme|south|pump|78|pending
1578|acme|north|sensor|84|held
1229|cobalt|west|panel|21|held
1748|ionic|south|valve|18|pending
1314|birch|west|rotor|67|held
1512|acme|east|frame|42|shipped
1725|cobalt|west|frame|93|shipped
1310|gale|north|pump|63|held
1939|birch|west|frame|43|pending
1122|juno|east|pump|76|shipped
1777|dorian|west|cable|83|paid
1703|cobalt|east|rotor|80|shipped
1187|harbor|south|panel|36|paid
1401|cobalt|west|panel|37|held
1851|cobalt|east|rotor|23|shipped
2005|harbor|east|pump|75|pending
1213|juno|west|sensor|92|paid
1142|juno|east|frame|24|shipped
1558|juno|east|cable|57|paid
1666|fulton|west|valve|61|held
1176|cobalt|east|sensor|99|paid
1713|juno|west|pump|75|pending
1115|juno|north|gasket|38|pending
1225|harbor|east|sensor|11|held
1949|ionic|east|frame|75|paid
1396|fulton|west|gasket|24|paid
1337|acme|south|cable|48|pending
1580|ionic|west|rotor|93|held
1160|cobalt|south|frame|72|pending
1816|juno|south|frame|98|pending
1156|ember|east|rotor|39|shipped
1765|fulton|north|rotor|60|paid
1979|ionic|north|panel|84|pending
1893|cobalt|south|panel|85|paid
1303|ionic|east|cable|53|held
1148|juno|east|sensor|17|shipped
1204|acme|east|pump|10|held
1531|harbor|south|rotor|92|paid
1525|gale|north|frame|50|paid
1875|birch|west|pump|14|held
1173|fulton|south|sensor|17|shipped
1627|birch|south|cable|96|paid
1753|fulton|south|rotor|10|pending
2007|harbor|north|panel|39|paid
1381|gale|south|pump|19|shipped
1507|acme|east|frame|18|paid
1839|acme|west|rotor|59|pending
1209|acme|west|gasket|51|held
1327|gale|west|frame|58|shipped
2079|gale|south|valve|46|pending
1524|harbor|west|pump|32|paid
1935|acme|north|frame|37|paid
1409|ionic|north|sensor|63|shipped
1125|juno|south|rotor|65|pending
1833|fulton|south|sensor|76|pending
1280|fulton|west|rotor|79|pending
2027|cobalt|west|pump|13|held
1609|acme|east|rotor|95|shipped
2031|gale|north|panel|59|paid
1181|juno|east|valve|68|held
1998|ember|north|gasket|84|paid
1154|gale|south|pump|95|pending
1258|gale|north|rotor|57|pending
1371|dorian|east|cable|53|held
1140|juno|north|cable|47|pending
1994|acme|south|rotor|94|shipped
1293|ionic|north|cable|33|shipped
1827|ionic|east|panel|57|paid
1646|birch|west|rotor|50|held
1474|fulton|east|sensor|90|pending
1718|ionic|north|frame|12|pending
2036|dorian|west|gasket|61|held
1124|juno|east|gasket|97|pending
1348|fulton|north|valve|11|paid
1932|acme|west|cable|65|shipped
1442|dorian|north|panel|82|paid
1798|juno|west|frame|34|pending
1497|gale|south|cable|14|pending
1770|birch|south|frame|66|held
1808|harbor|west|frame|94|held
1347|juno|south|panel|65|paid
1281|acme|south|gasket|49|paid
1390|ionic|north|pump|31|paid
1550|acme|east|sensor|76|held
1364|harbor|east|gasket|84|shipped
1416|cobalt|south|rotor|71|shipped
1207|harbor|north|sensor|86|paid
1675|cobalt|west|panel|15|pending
1887|harbor|south|gasket|90|shipped
1689|fulton|north|valve|38|paid
1435|harbor|east|panel|24|held
1735|harbor|south|cable|77|shipped
1866|ionic|west|sensor|34|pending
1493|gale|north|valve|66|pending
1137|juno|east|valve|36|pending
1476|gale|north|valve|80|held
1587|dorian|south|pump|62|pending
2048|ember|north|gasket|55|paid
1629|ember|west|sensor|35|pending
1145|juno|west|sensor|18|pending
1489|cobalt|east|cable|58|paid
1663|ember|south|rotor|97|paid
1155|juno|east|frame|29|shipped
1602|fulton|north|panel|19|shipped
1685|birch|west|valve|67|held
1328|acme|east|cable|91|held
1828|fulton|north|panel|99|paid
1963|cobalt|south|frame|91|held
1861|dorian|east|valve|58|pending
1659|ember|west|gasket|58|shipped
1880|ember|north|frame|55|paid
1638|cobalt|south|pump|71|paid
1246|cobalt|north|cable|24|held
1527|ember|east|panel|35|shipped
1696|acme|west|sensor|89|pending
1822|gale|east|frame|11|pending
1541|ionic|north|pump|79|pending
1339|juno|south|gasket|30|pending
1457|juno|east|pump|43|pending
1962|dorian|south|valve|42|pending
1871|acme|north|pump|67|held
1706|acme|west|valve|53|shipped
1918|juno|south|sensor|11|paid
1163|gale|east|gasket|59|shipped
1233|harbor|west|panel|74|paid
1924|juno|east|panel|62|paid
1644|harbor|east|rotor|63|pending
1518|gale|south|gasket|22|shipped
1248|juno|east|pump|96|shipped
1855|birch|south|rotor|63|paid
1793|harbor|north|gasket|82|held
1562|juno|north|cable|25|held
1360|ember|north|sensor|91|held
1198|ember|west|rotor|44|paid
1944|ember|south|gasket|42|pending
1557|acme|north|sensor|86|paid
1801|fulton|south|rotor|87|pending
1913|acme|south|rotor|88|paid
2025|gale|south|cable|10|paid
1375|gale|north|gasket|43|paid
1266|ember|south|sensor|26|shipped
1598|harbor|east|valve|49|pending
1354|cobalt|west|pump|77|shipped
1295|cobalt|south|rotor|96|shipped
1386|dorian|south|frame|52|shipped
1449|cobalt|north|cable|55|paid
2082|harbor|east|panel|41|pending
2068|harbor|east|panel|65|pending
1274|juno|south|pump|54|paid
1959|fulton|north|pump|58|held
1379|gale|north|rotor|28|pending
1325|dorian|east|cable|89|pending
1728|ionic|south|valve|33|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "east" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 42, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: const orderLedger = [ // ... (insert order ledger data here) ]; const policy = (order) => { if (order.customer === "juno" && order.region === "east" && order.status === "pending") { if (order.qty > 42) { return { tool: "restock", args: { item: order.item, qty: order.qty } }; } else { return { tool: "cancel_order", args: { order_id: order.id } }; } } return null; }; const result = orderLedger .filter(policy) .sort((a, b) => a.id - b.id) .map(policy) .filter(Boolean); const toolCalls = result.map((item) => ({ tool: item.tool, args: item.args })); console.log(JSON.stringify(toolCalls, null, 2));
wrongagentic.tools.deploy-v1conf 100% · 222ms · $0.000 · 98 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: auth-svc
- auth-svc: notifier
- billing: auth-svc, notifier
- notifier: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool: deploy", "args": {"service": "auth-svc"}}, {"tool: deploy", "args": {"service": "notifier"}}, {"tool: deploy", "args": {"service": "gateway"}}, {"tool: deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}} ]
wrongagentic.tools.ledger-v1conf · 186ms · $0.000 · 1 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- alpha: $753
- tango: $592
- lima: $732

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $157 from "lima" to "alpha"
2. pay $522 from "tango" to "lima"
3. pay $294 from "lima" to "tango"
4. pay $590 from "tango" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.deploy-v1conf 100% · 190ms · $0.000 · 81 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool: deploy", "args": {"service": "auth-svc"}}, {"tool: deploy", "args": {"service": "gateway"}}, {"tool: deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}} ]
wrongagentic.tools.ledger-v1conf · 766ms · $0.000 · 1 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: $703
- lima: $761
- bravo: $705

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $129 from "bravo" to "lima"
2. pay $570 from "kilo" to "lima"
3. pay $406 from "bravo" to "kilo"
4. pay $98 from "kilo" to "lima"
5. pay $431 from "kilo" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1conf 100% · 185ms · $0.000 · 215 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 (215 records, format: id|customer|region|item|qty|status):
```
1892|ionic|south|cable|67|pending
1439|ionic|west|cable|79|pending
1222|gale|east|panel|85|pending
1250|ionic|east|gasket|73|paid
1816|juno|south|frame|87|pending
1474|juno|east|frame|16|paid
1686|acme|west|panel|60|shipped
1594|dorian|east|pump|34|pending
1271|acme|north|sensor|63|shipped
1835|gale|south|cable|23|pending
1612|ember|east|pump|47|pending
1701|cobalt|south|rotor|80|held
1744|ember|south|panel|56|held
1570|cobalt|south|sensor|75|held
1807|gale|east|rotor|81|shipped
1087|juno|west|sensor|45|held
1521|juno|east|valve|70|paid
1318|cobalt|south|valve|75|held
1456|gale|south|panel|86|paid
1859|cobalt|south|rotor|15|paid
1354|fulton|south|frame|90|shipped
1715|harbor|north|rotor|69|pending
1136|fulton|north|gasket|16|held
1813|fulton|west|gasket|47|paid
1374|acme|east|panel|15|pending
1202|ionic|east|pump|90|pending
1781|juno|south|panel|38|shipped
1899|ember|north|valve|38|paid
1773|birch|north|frame|39|held
1635|fulton|south|panel|36|pending
1453|birch|north|rotor|54|shipped
1468|birch|south|sensor|80|paid
1244|cobalt|south|rotor|76|paid
1906|dorian|north|pump|56|pending
1491|dorian|east|valve|57|pending
1174|cobalt|east|cable|41|pending
1072|juno|west|sensor|74|pending
1080|juno|west|valve|94|held
1851|fulton|south|sensor|40|held
1339|harbor|south|frame|58|shipped
1819|cobalt|west|frame|97|shipped
1569|acme|west|valve|51|paid
1719|harbor|north|rotor|65|held
1325|harbor|east|sensor|15|shipped
1421|gale|north|frame|13|held
1365|ionic|south|cable|10|held
1085|juno|north|sensor|26|pending
1879|acme|west|valve|79|paid
1178|juno|west|frame|26|held
1235|cobalt|north|pump|46|paid
1151|fulton|east|panel|87|paid
1628|cobalt|east|frame|20|held
1390|juno|north|pump|65|paid
1145|cobalt|east|sensor|87|pending
1137|harbor|south|frame|63|pending
1294|harbor|north|valve|86|paid
1760|cobalt|north|rotor|49|held
1226|dorian|west|panel|42|held
1722|birch|west|panel|96|pending
1346|acme|south|pump|79|shipped
1801|birch|north|sensor|74|paid
1064|juno|east|cable|81|pending
1268|acme|west|frame|49|held
1084|juno|west|gasket|29|pending
1301|juno|east|frame|37|paid
1102|juno|west|valve|68|pending
1092|juno|south|valve|85|pending
1070|juno|west|frame|53|paid
1185|dorian|east|gasket|83|pending
1277|fulton|north|sensor|10|held
1358|ember|south|valve|28|held
1884|gale|south|frame|92|paid
1779|dorian|east|panel|86|shipped
1215|ionic|south|valve|37|held
1623|acme|south|rotor|91|pending
1562|juno|west|cable|32|held
1833|harbor|south|sensor|96|pending
1616|harbor|north|frame|18|pending
1726|cobalt|north|rotor|14|shipped
1676|cobalt|west|panel|46|shipped
1479|cobalt|east|cable|10|shipped
1348|birch|south|valve|27|shipped
1671|dorian|west|valve|45|pending
1645|harbor|west|frame|75|paid
1195|harbor|east|rotor|36|pending
1666|dorian|north|pump|47|held
1885|ember|north|panel|17|held
1300|ember|north|panel|37|paid
1608|dorian|south|panel|31|paid
1902|ember|west|pump|28|shipped
1795|birch|east|pump|66|held
1767|cobalt|west|valve|40|pending
1532|cobalt|south|rotor|41|pending
1286|fulton|south|rotor|50|paid
1079|juno|north|sensor|43|pending
1381|acme|south|valve|30|pending
1633|harbor|east|gasket|94|paid
1306|cobalt|west|pump|54|pending
1259|ember|north|gasket|37|shipped
1846|juno|west|rotor|61|shipped
1863|cobalt|north|frame|16|pending
1557|juno|west|valve|23|pending
1853|juno|south|cable|89|shipped
1731|juno|east|sensor|78|pending
1241|dorian|south|sensor|49|paid
1125|ember|north|valve|56|pending
1536|dorian|south|frame|18|pending
1749|fulton|east|sensor|97|pending
1472|birch|north|sensor|77|held
1303|fulton|east|panel|47|paid
1602|ember|east|gasket|15|pending
1164|harbor|south|panel|72|paid
1427|gale|north|gasket|36|pending
1598|ember|east|valve|87|paid
1157|birch|east|rotor|30|shipped
1329|fulton|west|panel|52|paid
1229|fulton|south|pump|15|pending
1480|ember|west|sensor|58|paid
1841|acme|east|frame|71|pending
1129|ionic|west|rotor|66|paid
1788|cobalt|east|panel|71|held
1426|ionic|south|cable|26|paid
1368|ember|west|rotor|50|pending
1214|acme|north|rotor|92|pending
1414|gale|east|panel|51|shipped
1589|ember|north|panel|24|shipped
1499|birch|south|valve|71|held
1632|acme|south|pump|25|shipped
1088|juno|west|gasket|87|pending
1550|ionic|west|cable|16|pending
1590|cobalt|east|valve|17|pending
1870|fulton|north|cable|53|paid
1369|birch|north|gasket|21|pending
1212|juno|east|valve|78|paid
1604|birch|east|panel|18|held
1138|dorian|south|valve|64|paid
1706|cobalt|south|panel|62|pending
1507|dorian|east|valve|83|pending
1498|birch|south|frame|46|shipped
1405|acme|south|pump|23|paid
1408|dorian|east|cable|15|paid
1434|dorian|north|panel|11|pending
1622|fulton|south|cable|77|paid
1126|dorian|north|valve|71|pending
1208|ionic|south|panel|18|paid
1857|cobalt|west|pump|77|held
1463|ember|east|rotor|20|pending
1771|fulton|north|gasket|46|paid
1446|ember|east|rotor|73|held
1118|birch|south|rotor|13|held
1871|dorian|east|frame|79|pending
1334|cobalt|south|cable|54|shipped
1661|birch|north|gasket|71|pending
1168|dorian|east|valve|70|paid
1528|juno|north|sensor|48|paid
1290|dorian|south|pump|10|held
1759|birch|east|pump|26|paid
1313|ember|north|gasket|71|held
1395|cobalt|west|frame|80|shipped
1511|juno|south|frame|71|pending
1518|ember|west|pump|68|shipped
1581|dorian|north|rotor|76|shipped
1631|cobalt|west|frame|83|shipped
1670|gale|north|pump|44|held
1191|harbor|east|gasket|83|paid
1547|birch|west|sensor|55|pending
1818|dorian|north|panel|87|held
1735|cobalt|north|rotor|85|pending
1654|fulton|north|frame|26|held
1159|cobalt|south|pump|31|held
1485|ember|west|cable|14|paid
1328|birch|north|rotor|47|held
1504|ionic|east|valve|73|paid
1256|ionic|east|panel|34|held
1738|ionic|west|gasket|91|held
1679|ember|east|sensor|68|pending
1695|cobalt|south|frame|51|shipped
1266|harbor|north|rotor|56|held
1486|harbor|north|sensor|37|held
1415|gale|east|panel|11|paid
1736|harbor|north|cable|79|paid
1689|juno|west|pump|81|paid
1827|cobalt|east|cable|21|shipped
1452|dorian|west|pump|44|held
1393|acme|north|rotor|44|shipped
1112|juno|west|rotor|43|paid
1375|cobalt|south|pump|32|held
1710|acme|west|frame|79|held
1383|juno|south|cable|58|paid
1400|cobalt|south|sensor|41|pending
1644|gale|south|frame|46|pending
1898|acme|east|cable|78|paid
1752|ionic|west|rotor|89|paid
1615|cobalt|south|pump|79|paid
1541|acme|east|cable|26|held
1856|birch|south|pump|56|held
1059|juno|west|rotor|83|pending
1577|birch|south|frame|66|held
1109|juno|north|sensor|81|pending
1799|ionic|south|frame|88|shipped
1596|gale|north|rotor|12|shipped
1201|dorian|west|cable|48|paid
1641|acme|north|gasket|57|paid
1587|cobalt|east|frame|48|held
1095|juno|west|valve|18|paid
1647|ionic|west|sensor|31|pending
1878|ember|south|sensor|66|paid
1180|cobalt|east|rotor|81|paid
1826|ember|south|frame|99|paid
1407|acme|south|gasket|50|paid
1876|harbor|east|panel|47|pending
1525|fulton|east|cable|78|held
1430|fulton|east|gasket|37|shipped
1280|juno|north|pump|93|pending
1230|harbor|east|sensor|10|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "juno" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 53, 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: const orderLedger = [ // ... your order ledger data ... ]; const policy = (order) => { if (order.customer === "juno" && order.region === "west" && order.status === "pending") { return order.id > 53; } return false; }; const processOrder = (order) => { if (policy(order)) { if (order.qty > 53) { return { tool: "restock", args: { item: order.item, qty: order.qty } }; } else { return { tool: "cancel_order", args: { order_id: order.id } }; } } return null; }; const result = orderLedger .filter((order) => policy(order)) .sort((a, b) => a.id - b.id) .map((order) => processOrder(order)); const output = JSON.stringify(result, null, 2); console.log(output);
wrongagentic.tools.triage-v1conf · 316ms · $0.000 · 1 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 → okafor
- auth → tanaka
- data → chen

INCIDENTS:
1. "refund double-charged" (category: payments, priority 6)
2. "cannot reset password" (category: auth, priority 2)
3. "dashboard shows stale numbers" (category: data, priority 9)
4. "dashboard shows stale numbers" (category: data, 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 100% · 220ms · $0.000 · 83 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool: deploy", "args": {"service": "reports"}}, {"tool: deploy", "args": {"service": "notifier"}}, {"tool: deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "notifier"}} ]
wrongagentic.tools.ledger-v1conf · 184ms · $0.000 · 1 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: $122
- kilo: $576
- oscar: $523

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $155 from "bravo" to "kilo"
2. pay $338 from "oscar" to "kilo"
3. pay $595 from "kilo" to "oscar"
4. pay $332 from "kilo" 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.context-load-v1conf 100% · 338ms · $0.000 · 179 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 (288 records, format: id|customer|region|item|qty|status):
```
1862|gale|east|frame|80|pending
2167|cobalt|west|cable|54|pending
1652|gale|south|frame|29|shipped
2198|dorian|west|rotor|67|paid
2058|ionic|west|pump|45|held
1321|cobalt|south|pump|37|shipped
1337|fulton|west|gasket|34|pending
1865|ionic|west|frame|54|pending
1328|acme|east|valve|10|paid
2006|cobalt|north|frame|35|paid
1840|gale|east|frame|79|shipped
2266|cobalt|east|valve|75|pending
1792|fulton|west|sensor|79|paid
2227|acme|east|frame|17|pending
1741|acme|east|pump|77|pending
1629|dorian|north|frame|70|pending
2029|cobalt|east|panel|95|shipped
2137|fulton|south|cable|20|held
2207|harbor|north|pump|30|held
1917|birch|south|panel|84|shipped
1994|gale|west|pump|52|shipped
1793|fulton|south|gasket|89|held
1585|birch|north|valve|75|paid
1568|gale|west|rotor|29|pending
1944|juno|west|cable|62|paid
1361|ionic|south|cable|43|pending
2211|fulton|north|panel|85|pending
1790|birch|south|rotor|79|pending
2186|harbor|north|gasket|86|held
1578|ionic|north|valve|56|held
2232|gale|west|rotor|79|shipped
1535|ember|east|valve|13|held
2260|fulton|west|valve|42|held
1725|ember|east|sensor|16|shipped
1659|juno|west|pump|61|paid
1910|gale|north|rotor|18|paid
1491|cobalt|south|gasket|44|shipped
2103|harbor|east|rotor|71|held
1896|cobalt|west|valve|27|held
2136|ember|east|cable|41|held
2317|acme|south|sensor|96|held
1842|birch|north|gasket|96|held
1505|fulton|south|rotor|12|paid
1295|fulton|west|rotor|57|paid
1349|gale|east|frame|14|pending
2173|acme|south|rotor|53|pending
1455|cobalt|west|cable|65|held
1397|harbor|south|frame|67|held
1484|acme|north|rotor|98|held
2216|ionic|south|frame|44|pending
1777|ember|north|rotor|83|held
1479|acme|west|valve|61|paid
1767|dorian|west|gasket|14|shipped
2247|acme|north|panel|56|held
1408|fulton|east|pump|68|held
1730|ember|north|frame|95|shipped
1603|dorian|south|rotor|82|pending
2346|cobalt|south|pump|75|pending
1446|dorian|south|frame|87|held
2075|gale|north|cable|36|pending
1299|ionic|east|pump|58|pending
1856|juno|south|valve|62|held
1714|gale|north|rotor|94|shipped
2176|ember|north|valve|57|shipped
1304|dorian|east|sensor|48|shipped
2193|harbor|north|pump|28|shipped
1421|acme|south|gasket|27|shipped
1805|juno|east|frame|87|shipped
1671|ionic|north|pump|87|shipped
1959|birch|south|cable|66|held
1383|gale|east|cable|37|held
2331|cobalt|south|valve|88|held
1478|harbor|north|pump|83|held
2024|dorian|south|gasket|56|paid
1991|ionic|north|valve|39|pending
2054|acme|north|cable|99|paid
1375|acme|east|rotor|72|pending
1656|ember|west|valve|57|pending
1970|dorian|south|valve|84|paid
1572|acme|north|panel|23|pending
1651|harbor|east|sensor|35|held
2077|acme|east|frame|43|pending
2304|ionic|north|valve|56|shipped
1709|gale|east|valve|95|pending
1925|juno|west|gasket|75|paid
1559|dorian|east|pump|79|paid
1263|fulton|west|frame|81|pending
2324|dorian|east|panel|62|pending
1513|dorian|north|pump|33|shipped
1509|ember|north|gasket|41|shipped
2254|fulton|west|valve|10|shipped
1385|ionic|south|valve|60|pending
1434|juno|south|rotor|45|paid
2034|gale|north|pump|67|pending
1392|ember|north|gasket|33|held
2128|birch|west|valve|23|held
1548|juno|east|gasket|61|pending
2329|harbor|south|cable|63|pending
1306|cobalt|north|panel|25|pending
1264|fulton|east|sensor|44|pending
2289|ember|west|sensor|41|shipped
2343|dorian|east|cable|37|pending
1645|acme|north|sensor|82|shipped
1800|gale|east|sensor|57|paid
1470|birch|north|gasket|79|held
1475|ember|north|rotor|49|pending
1753|cobalt|west|gasket|24|held
2047|birch|west|sensor|59|paid
1762|fulton|south|sensor|50|shipped
2299|gale|north|cable|34|paid
2016|birch|north|panel|10|held
1498|birch|east|rotor|48|paid
1532|juno|east|valve|84|shipped
2157|dorian|west|valve|44|shipped
2020|birch|west|cable|46|held
2282|juno|west|pump|60|paid
1748|acme|west|rotor|69|shipped
1558|acme|south|panel|69|held
2277|ionic|east|sensor|70|pending
1975|ionic|west|panel|26|held
1772|acme|north|cable|35|paid
1982|dorian|east|panel|52|shipped
1466|ionic|north|valve|17|shipped
1836|fulton|west|frame|60|held
2228|dorian|south|panel|57|shipped
2279|ember|west|rotor|16|paid
2298|gale|south|cable|27|shipped
1961|ember|south|panel|13|pending
1449|ionic|west|sensor|23|shipped
1644|ember|north|valve|37|held
1290|fulton|east|rotor|44|pending
2242|acme|south|cable|20|held
1367|fulton|east|sensor|95|paid
2108|dorian|east|gasket|89|paid
1250|fulton|west|panel|36|pending
1857|harbor|east|cable|79|pending
2253|acme|south|panel|50|shipped
1701|fulton|north|rotor|33|pending
1900|dorian|north|rotor|77|held
1708|juno|south|cable|61|paid
1524|dorian|east|pump|64|paid
1459|harbor|north|pump|74|pending
1665|juno|south|cable|80|held
2268|gale|west|gasket|98|paid
1335|birch|north|gasket|62|held
1736|gale|west|panel|39|paid
1608|dorian|west|gasket|66|held
1992|gale|south|pump|76|paid
2340|acme|north|rotor|24|shipped
1378|dorian|west|valve|66|pending
1275|fulton|west|rotor|61|pending
2327|ember|west|gasket|23|held
1619|cobalt|west|cable|95|shipped
2243|dorian|south|pump|64|paid
1937|cobalt|south|sensor|19|held
1807|birch|east|frame|46|shipped
1734|dorian|south|gasket|54|pending
1542|gale|south|sensor|37|paid
1590|cobalt|west|sensor|50|held
1413|ember|west|valve|51|held
1562|harbor|south|panel|36|shipped
1284|fulton|west|sensor|12|held
2065|harbor|east|rotor|16|pending
1376|ionic|east|gasket|54|shipped
2014|ionic|north|cable|28|pending
2355|ember|south|valve|55|paid
1401|birch|east|gasket|63|paid
1904|ionic|east|cable|85|shipped
1673|fulton|west|cable|22|pending
1699|gale|west|sensor|27|shipped
2161|gale|south|frame|81|paid
1872|ember|north|valve|71|held
2069|cobalt|west|gasket|77|shipped
1515|gale|south|cable|83|paid
1735|birch|south|panel|18|pending
1852|acme|east|cable|87|paid
1507|harbor|south|frame|22|held
2263|ember|east|panel|50|shipped
1256|fulton|south|cable|58|pending
1718|acme|east|cable|73|held
1986|birch|west|cable|75|paid
1482|juno|east|valve|38|held
1895|ionic|north|frame|74|paid
2112|gale|west|rotor|45|shipped
1371|harbor|north|sensor|45|held
2080|fulton|north|sensor|66|shipped
1846|birch|south|pump|47|pending
2098|ember|south|valve|30|held
1997|acme|north|gasket|24|paid
2145|juno|west|rotor|60|shipped
1433|harbor|north|pump|56|shipped
2180|birch|north|cable|83|held
1477|harbor|west|gasket|38|pending
1758|ember|east|sensor|63|shipped
1356|dorian|north|frame|79|paid
1899|fulton|west|gasket|66|shipped
1974|dorian|north|rotor|75|shipped
1410|harbor|east|panel|32|shipped
1782|harbor|east|gasket|97|pending
1918|juno|north|panel|39|paid
1344|harbor|south|rotor|82|held
1426|acme|east|pump|45|shipped
1309|ionic|south|rotor|33|pending
1369|dorian|south|valve|58|paid
1613|fulton|west|rotor|54|shipped
1693|birch|south|pump|59|held
1416|ionic|south|rotor|43|shipped
2012|juno|west|panel|19|paid
1457|gale|south|panel|38|shipped
1710|fulton|east|sensor|35|pending
2307|birch|west|frame|93|held
1713|ionic|north|valve|15|pending
1952|harbor|north|valve|12|held
1584|gale|south|rotor|86|paid
1440|ionic|north|gasket|75|paid
2338|birch|east|valve|80|shipped
1593|dorian|south|sensor|87|held
1530|ember|west|panel|50|held
1621|dorian|east|frame|16|pending
2202|ionic|north|cable|40|held
2311|acme|north|rotor|64|paid
1508|ionic|east|cable|10|pending
2274|ionic|north|pump|16|shipped
2218|dorian|north|rotor|36|pending
1288|fulton|west|cable|34|pending
2119|fulton|north|rotor|96|pending
1347|fulton|north|rotor|24|held
1517|harbor|north|frame|16|pending
1649|juno|south|panel|98|pending
2139|ember|west|cable|70|pending
1396|birch|south|rotor|84|pending
1931|harbor|south|pump|76|pending
1773|juno|south|sensor|27|held
1999|gale|west|panel|58|shipped
2165|ionic|west|panel|20|paid
1486|acme|west|valve|41|paid
1261|fulton|west|sensor|68|shipped
1678|cobalt|south|frame|85|paid
1506|harbor|north|pump|81|shipped
1784|dorian|west|valve|22|held
2086|ionic|west|cable|57|shipped
1901|acme|north|valve|87|shipped
2246|birch|north|panel|13|shipped
1998|cobalt|east|panel|87|held
1623|ionic|north|panel|32|pending
1813|birch|south|pump|57|held
1829|ember|south|cable|12|held
1633|birch|east|panel|93|paid
2094|ember|north|panel|65|shipped
1610|harbor|north|valve|16|pending
1963|acme|east|gasket|34|held
1639|ionic|south|valve|72|pending
1881|acme|south|gasket|85|pending
2285|juno|east|rotor|12|held
2291|ember|east|sensor|12|pending
2129|cobalt|north|sensor|64|shipped
1892|cobalt|east|rotor|33|pending
1311|cobalt|north|panel|29|held
2235|fulton|west|frame|67|held
1946|gale|south|valve|39|held
2151|acme|west|pump|42|paid
2152|birch|north|sensor|88|shipped
1600|birch|south|gasket|58|shipped
1750|gale|north|rotor|77|shipped
2040|cobalt|south|pump|84|pending
1329|fulton|east|panel|16|shipped
1316|dorian|north|valve|52|pending
2087|acme|north|valve|43|pending
1885|cobalt|west|gasket|68|paid
1674|ember|north|rotor|92|paid
1987|cobalt|east|valve|21|held
1877|gale|south|sensor|24|shipped
1684|fulton|west|rotor|61|pending
1770|dorian|west|sensor|56|pending
2223|harbor|east|gasket|18|shipped
2125|fulton|north|sensor|58|shipped
1763|birch|south|panel|92|held
2259|juno|south|panel|67|held
2171|dorian|north|pump|99|pending
1277|fulton|east|panel|11|pending
1553|ember|north|sensor|90|held
2217|fulton|north|pump|34|pending
1818|harbor|west|frame|15|paid
2349|fulton|north|cable|52|pending
1823|dorian|east|panel|76|pending
1686|fulton|east|pump|39|paid
1269|fulton|west|frame|94|shipped
1764|juno|east|panel|75|paid
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "fulton" AND region = "west" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 65, 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: const orderLedger = [ // ... your order ledger data here ]; const policy = (order) => { if (order.customer === "fulton" && order.region === "west" && order.status === "pending") { return order.id; } return null; }; const filteredOrders = orderLedger.filter(policy).sort((a, b) => a.id - b.id); const toolCalls = filteredOrders.map((order) => { if (order.qty > 65) { return { tool: "restock", args: { item: order.item, qty: order.qty } }; } else { return { tool: "cancel_order", args: { order_id: order.id } }; } }); console.log(JSON.stringify(toolCalls, null, 2));
wrongagentic.tools.triage-v1conf · 284ms · $0.000 · 1 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "records missing after import" (category: data, priority 3)
2. "uploads failing intermittently" (category: infra, priority 8)
3. "uploads failing intermittently" (category: infra, priority 8)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.triage-v1conf 100% · 303ms · $0.000 · 207 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 → dubois
- data → rivera
- payments → okafor

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 9)
2. "webhooks not delivered" (category: infra, priority 9)
3. "card declined at checkout" (category: payments, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "create_ticket", "args": {"title": "webhooks not delivered", "priority": 9}}, {"tool": "create_ticket", "args": {"title": "card declined at checkout", "priority": 5}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "dubois"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "rivera"}}, {"tool": "escalate", "args": {"ticket_id": "TCK-1"}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-1", "resolution": "duplicate of TCK-2"}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-2", "resolution": "duplicate of TCK-1"}} ]
wrongagentic.tools.deploy-v1conf 100% · 195ms · $0.000 · 97 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: search
- gateway: search
- reports: search
- search: (none)

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool: deploy", "args": {"service": "search"}}, {"tool: deploy", "args": {"service": "auth-svc"}}, {"tool: deploy", "args": {"service": "gateway"}}, {"tool: deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}} ]
wrongagentic.tools.ledger-v1conf · 182ms · $0.000 · 1 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- echo: $392
- kilo: $641
- delta: $486

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $455 from "kilo" to "delta"
2. pay $274 from "echo" to "delta"
3. pay $135 from "delta" to "echo"
4. pay $251 from "echo" to "delta"
5. pay $332 from "kilo" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.triage-v1conf · 224ms · $0.000 · 1 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "locked out after 2FA change" (category: auth, priority 6)
2. "locked out after 2FA change" (category: auth, priority 6)
3. "records missing after import" (category: data, priority 7)
4. "locked out after 2FA change" (category: auth, priority 5)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1conf 100% · 148ms · $0.000 · 187 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 (285 records, format: id|customer|region|item|qty|status):
```
2235|harbor|south|sensor|98|shipped
2073|birch|west|rotor|64|held
2047|fulton|west|valve|47|paid
1925|ember|east|cable|51|shipped
1758|gale|north|valve|33|shipped
2104|dorian|east|cable|22|paid
1741|dorian|south|pump|25|held
1436|harbor|east|valve|96|held
1844|juno|south|cable|53|paid
1195|birch|east|valve|21|pending
1418|gale|west|panel|24|pending
1894|ionic|west|pump|50|held
1478|dorian|east|gasket|86|shipped
1806|gale|south|panel|39|held
1748|juno|east|gasket|22|held
2149|juno|north|pump|10|pending
2263|birch|north|pump|54|paid
1707|dorian|east|valve|44|paid
2242|cobalt|north|valve|71|paid
1562|gale|west|valve|83|paid
1864|gale|east|gasket|46|shipped
1600|fulton|east|cable|11|held
2112|ember|north|gasket|50|held
1866|dorian|east|frame|37|shipped
2179|juno|south|frame|41|pending
2216|acme|south|pump|14|shipped
1952|ionic|west|rotor|31|held
2074|ionic|west|sensor|84|shipped
1911|fulton|west|sensor|72|paid
1929|gale|east|cable|93|shipped
1546|cobalt|north|gasket|68|paid
2268|harbor|west|sensor|82|paid
2245|birch|east|gasket|94|pending
1909|gale|east|pump|76|held
1785|fulton|west|frame|29|held
1430|ionic|north|cable|63|held
1402|birch|east|panel|57|shipped
1276|harbor|north|gasket|67|held
1608|ionic|north|sensor|18|held
1768|juno|east|pump|33|shipped
2007|dorian|east|frame|50|paid
1851|cobalt|east|pump|69|paid
2036|birch|west|pump|98|pending
1799|ember|east|panel|37|pending
2119|birch|east|gasket|55|shipped
1186|birch|north|gasket|24|pending
1245|birch|south|gasket|90|pending
2161|ember|north|pump|49|shipped
1888|harbor|west|gasket|49|paid
1983|ember|west|sensor|95|held
1369|birch|south|panel|98|paid
1263|gale|north|sensor|90|pending
1880|fulton|north|frame|13|paid
1469|fulton|west|panel|52|shipped
2269|juno|north|cable|92|paid
1549|harbor|south|pump|15|held
1247|birch|east|sensor|68|held
2247|birch|south|cable|14|pending
2257|juno|south|cable|18|paid
2019|cobalt|east|pump|75|paid
2251|ionic|west|rotor|98|pending
2157|cobalt|east|frame|65|held
2065|birch|north|sensor|72|held
1594|gale|west|valve|38|paid
1450|ionic|east|rotor|56|shipped
2135|ionic|south|rotor|57|held
1668|fulton|north|sensor|44|shipped
2167|acme|west|frame|79|held
1555|gale|west|sensor|87|pending
1387|ionic|south|sensor|88|paid
2183|fulton|west|panel|41|held
1244|birch|east|gasket|11|pending
1352|juno|north|sensor|26|pending
1528|dorian|west|valve|59|paid
1285|ember|north|panel|77|shipped
1401|cobalt|west|panel|38|shipped
1515|acme|east|cable|84|held
1661|fulton|west|rotor|72|held
2282|birch|south|rotor|73|held
1701|dorian|east|sensor|30|pending
1269|gale|north|cable|70|paid
1924|harbor|west|sensor|20|paid
1308|fulton|west|valve|82|shipped
1536|harbor|west|sensor|11|pending
1505|fulton|east|pump|36|pending
1323|juno|north|gasket|89|pending
1297|harbor|north|valve|58|held
2210|dorian|west|rotor|39|shipped
2229|harbor|east|sensor|32|paid
1425|juno|north|gasket|11|paid
1654|ionic|east|valve|91|shipped
1996|fulton|west|rotor|97|pending
1832|dorian|east|cable|48|held
2121|harbor|north|valve|98|held
2102|cobalt|west|valve|99|held
1986|dorian|south|rotor|42|held
1520|ember|east|gasket|18|pending
1998|harbor|north|frame|93|held
1444|cobalt|south|rotor|90|held
1775|dorian|north|valve|24|shipped
1617|birch|east|frame|99|held
2191|birch|south|gasket|87|shipped
1470|harbor|south|gasket|38|shipped
2172|acme|north|gasket|35|shipped
1445|ionic|east|pump|92|paid
1301|juno|east|cable|72|shipped
1453|fulton|east|cable|27|shipped
1386|dorian|east|cable|35|held
1827|ember|west|panel|95|pending
1415|cobalt|east|sensor|61|paid
1680|birch|west|panel|74|held
1810|ember|east|cable|23|held
1468|harbor|south|panel|10|shipped
1715|harbor|east|gasket|75|held
1769|acme|north|frame|25|pending
1814|fulton|south|pump|27|shipped
1976|ionic|west|pump|61|shipped
2072|fulton|east|frame|48|paid
1277|juno|east|rotor|88|pending
1500|ember|east|sensor|71|pending
1765|juno|north|cable|88|paid
1696|fulton|south|rotor|77|paid
2223|harbor|west|valve|26|held
2052|juno|north|rotor|26|paid
1362|harbor|east|rotor|71|shipped
2022|harbor|south|frame|36|shipped
1222|birch|east|panel|99|paid
1374|harbor|west|valve|94|shipped
1931|harbor|south|sensor|31|held
2249|ember|south|valve|33|shipped
1857|gale|west|panel|75|held
1448|ember|south|frame|27|held
1590|dorian|west|rotor|41|shipped
2128|gale|east|panel|34|shipped
1264|fulton|west|valve|22|paid
1968|harbor|east|cable|85|shipped
1811|gale|east|cable|85|paid
1191|birch|east|gasket|54|shipped
2142|gale|north|gasket|68|paid
1307|acme|south|panel|56|paid
1486|ember|west|frame|83|pending
1764|gale|east|pump|21|paid
1753|dorian|north|pump|68|shipped
1216|birch|north|sensor|76|pending
1356|cobalt|south|pump|93|paid
1494|ember|west|valve|90|paid
1522|dorian|east|pump|58|paid
1897|gale|east|panel|56|shipped
2190|dorian|east|frame|16|shipped
1280|birch|north|frame|99|pending
1532|acme|west|frame|41|paid
1913|harbor|east|panel|40|paid
2001|ionic|west|valve|24|paid
2286|juno|south|rotor|60|pending
1199|birch|north|frame|33|pending
1458|gale|south|gasket|55|shipped
1336|gale|north|cable|36|paid
1472|cobalt|north|gasket|18|pending
1945|dorian|north|frame|13|pending
1702|fulton|north|cable|12|shipped
1938|birch|north|rotor|24|shipped
1238|birch|east|gasket|55|shipped
2089|dorian|west|pump|96|shipped
2127|gale|east|cable|21|pending
1400|dorian|west|valve|35|paid
1210|birch|east|gasket|45|pending
1839|birch|east|panel|47|shipped
1706|dorian|east|cable|57|shipped
1867|cobalt|north|frame|84|paid
1381|ionic|north|panel|95|pending
2273|acme|south|cable|75|paid
1519|harbor|north|valve|74|pending
1584|dorian|north|frame|94|held
1904|birch|south|valve|58|held
1627|gale|north|panel|91|shipped
2059|dorian|north|sensor|34|paid
1744|fulton|west|valve|38|shipped
2031|gale|east|cable|13|held
1454|acme|east|pump|68|shipped
2205|gale|south|sensor|51|held
2018|juno|north|pump|83|pending
1552|gale|north|pump|54|pending
1591|dorian|north|sensor|66|paid
1965|cobalt|east|gasket|28|held
1687|harbor|west|pump|59|shipped
1990|fulton|north|frame|94|held
1692|gale|west|frame|29|shipped
1800|birch|south|valve|94|shipped
1334|ember|south|valve|86|held
1874|ionic|east|gasket|71|paid
1577|juno|west|cable|21|held
2220|gale|east|cable|42|pending
2025|acme|east|frame|18|pending
1300|ember|south|valve|62|held
1820|ember|south|cable|69|held
1722|acme|east|pump|81|pending
1482|fulton|south|gasket|63|shipped
1957|dorian|north|pump|37|paid
1203|birch|east|cable|92|paid
1317|acme|east|gasket|37|pending
1727|ionic|west|gasket|10|pending
1394|dorian|north|gasket|21|held
1435|cobalt|east|sensor|18|paid
1995|cobalt|north|panel|33|held
1314|ionic|south|valve|41|paid
1493|acme|north|pump|90|held
1343|dorian|north|cable|69|pending
2150|ember|west|rotor|54|shipped
1521|fulton|south|panel|27|shipped
1675|cobalt|south|sensor|24|held
1977|harbor|north|frame|23|shipped
1663|cobalt|east|rotor|20|shipped
2011|cobalt|east|frame|93|shipped
1920|acme|north|pump|74|shipped
1278|juno|south|frame|24|paid
1989|ionic|east|cable|68|paid
1873|fulton|south|frame|28|pending
1227|birch|east|valve|61|pending
2144|juno|east|frame|50|pending
1634|gale|west|panel|33|shipped
1647|ember|north|rotor|17|held
1712|juno|west|panel|42|held
1407|juno|east|frame|89|pending
1733|cobalt|north|rotor|63|held
1573|gale|south|cable|61|held
2085|dorian|north|valve|49|pending
1780|dorian|east|gasket|67|shipped
1541|juno|south|cable|87|shipped
2117|acme|north|sensor|54|shipped
1603|juno|south|cable|87|paid
1234|birch|north|pump|75|pending
1966|birch|north|frame|73|paid
1476|harbor|west|rotor|19|pending
2106|cobalt|west|cable|84|paid
2207|birch|west|valve|31|pending
1431|ionic|west|valve|42|held
2096|ionic|south|gasket|93|shipped
1329|cobalt|south|gasket|22|pending
1666|fulton|north|pump|25|held
1397|ionic|west|panel|62|paid
1349|gale|south|panel|49|paid
1792|ionic|east|pump|36|pending
1391|gale|north|frame|42|paid
2004|juno|east|frame|21|held
1361|birch|north|frame|17|held
1511|gale|east|gasket|56|pending
2283|dorian|west|frame|41|shipped
1462|harbor|south|cable|29|held
1291|birch|west|valve|40|shipped
1641|fulton|north|gasket|12|pending
1497|birch|north|cable|58|paid
2095|fulton|west|frame|70|held
2198|ember|south|rotor|67|pending
2219|dorian|south|frame|77|shipped
1443|gale|west|panel|56|held
2280|dorian|north|frame|80|pending
1784|birch|north|rotor|96|pending
2058|acme|west|cable|35|held
1566|fulton|north|panel|44|shipped
1411|birch|south|gasket|87|pending
2042|cobalt|east|panel|55|paid
1797|cobalt|south|frame|74|shipped
1961|dorian|north|frame|28|shipped
1256|gale|north|frame|40|pending
2134|gale|west|rotor|82|paid
1183|birch|east|frame|99|pending
1623|fulton|west|sensor|73|pending
1739|fulton|east|rotor|44|pending
1611|ember|east|rotor|73|pending
2163|juno|east|gasket|87|shipped
1763|acme|north|panel|81|paid
1912|juno|east|valve|94|held
1274|cobalt|east|frame|59|held
1883|acme|west|panel|93|held
1915|harbor|north|rotor|86|held
2079|acme|south|rotor|14|paid
2063|juno|west|cable|40|paid
1672|ember|east|valve|53|shipped
1491|ionic|east|frame|28|pending
1885|acme|west|rotor|20|pending
1906|birch|south|pump|86|paid
1872|fulton|south|panel|82|pending
1251|cobalt|north|gasket|50|held
1974|fulton|south|rotor|25|held
2214|ionic|north|rotor|66|held
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: const orderLedger = [ // ... your order ledger data ... ]; const policy = (order) => { if (order.customer === "birch" && order.region === "east" && order.status === "pending") { return order.id > 56 ? { tool: "restock", args: { item: order.item, qty: order.qty } } : { tool: "cancel_order", args: { order_id: order.id } }; } return null; }; const orderedSequence = orderLedger .filter(policy) .sort((a, b) => a.id - b.id) .map(policy) .filter(Boolean); const result = orderedSequence.map((toolCall) => ({ tool: toolCall.tool, args: toolCall.args })); console.log(JSON.stringify(result, null, 2));
wrongagentic.tools.deploy-v1conf 100% · 231ms · $0.000 · 81 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool: deploy", "args": {"service": "auth-svc"}}, {"tool: deploy", "args": {"service": "search"}}, {"tool: deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}} ]
wrongagentic.tools.context-load-v1anchorconf · 314ms · $0.000 · 1 tok
model answer: (none extracted)
wrongagentic.tools.ledger-v1conf · 206ms · $0.000 · 1 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: $401
- kilo: $630
- tango: $185

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $489 from "oscar" to "kilo"
2. pay $167 from "oscar" to "tango"
3. pay $94 from "kilo" to "oscar"
4. pay $421 from "tango" to "kilo"
5. pay $447 from "tango" 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.deploy-v1anchorconf 100% · 205ms · $0.000 · 82 tok
model answer: [ {"tool: deploy", "args": {"service": "notifier"}}, {"tool: deploy", "args": {"service": "auth-svc"}}, {"tool: deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}} ]
wrongagentic.tools.triage-v1anchorconf · 198ms · $0.000 · 1 tok
model answer: (none extracted)
wrongagentic.tools.ledger-v1anchorconf · 213ms · $0.000 · 1 tok
model answer: (none extracted)
code 0/30 correct
wrongcode.trace.nested-v1conf · 283ms · $0.001 · 1822 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) % 2 == 0:
            continue
        total += i * 2 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.js-v1conf · 246ms · $0.000 · 12 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.nested-v1conf · 187ms · $0.000 · 1 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: (none extracted)
wrongcode.trace.python-v1conf · 260ms · $0.000 · 1 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 8
while total + v <= 116:
    if v % 4 != 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: (none extracted)
wrongcode.trace.js-v1conf · 288ms · $0.000 · 12 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.nested-v1conf · 204ms · $0.000 · 1 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 == 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: (none extracted)
wrongcode.trace.python-v1conf · 313ms · $0.000 · 1 tok
question
What does this Python program print?

```python
total = 0
v = 4
while total + v <= 66:
    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: (none extracted)
wrongcode.trace.js-v1conf · 223ms · $0.000 · 12 tok
question
Evaluate the following JavaScript. What number is logged to the console?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.nested-v1conf 100% · 292ms · $0.000 · 11 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) % 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: (none extracted)
wrongcode.trace.python-v1conf 100% · 313ms · $0.000 · 55 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 15
while total + v <= 88:
    if v % 7 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 220
wrongcode.trace.js-v1conf · 190ms · $0.000 · 9 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.nested-v1conf · 198ms · $0.000 · 1 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.python-v1conf · 201ms · $0.000 · 1 tok
question
What does this Python program print?

```python
total = 0
v = 7
while total + v <= 98:
    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: (none extracted)
wrongcode.trace.js-v1conf · 747ms · $0.000 · 12 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19];
const out = arr
  .map(n => n * 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: (none extracted)
wrongcode.trace.nested-v1conf · 189ms · $0.000 · 1 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: (none extracted)
wrongcode.trace.python-v1conf · 221ms · $0.000 · 1 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 1
while total + v <= 61:
    if v % 4 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.nested-v1conf · 106ms · $0.000 · 1 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 == 5 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 4 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.js-v1conf · 523ms · $0.000 · 4 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 * 5)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.python-v1conf · 114ms · $0.000 · 1 tok
question
What does this Python program print?

```python
total = 0
v = 3
while total + v <= 44:
    if v % 7 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.js-v1conf · 101ms · $0.000 · 9 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16, 17];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.nested-v1conf · 220ms · $0.000 · 1 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 * 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: (none extracted)
wrongcode.trace.js-v1conf · 656ms · $0.000 · 12 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [4, 5, 6, 7, 8, 9, 10, 11, 12];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 3 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.python-v1conf · 104ms · $0.000 · 1 tok
question
What does this Python program print?

```python
total = 0
v = 4
while total + v <= 85:
    if v % 4 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.nested-v1conf · 202ms · $0.000 · 1 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 * 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: (none extracted)
wrongcode.trace.python-v1conf · 212ms · $0.000 · 1 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 95:
    if v % 7 != 0:
        total += v
    v += 9
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongcode.trace.js-v1conf 100% · 267ms · $0.000 · 26 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 36
wrongcode.trace.nested-v1anchorconf · 272ms · $0.000 · 1 tok
model answer: (none extracted)
wrongcode.trace.python-v1anchorconf · 186ms · $0.000 · 1 tok
model answer: (none extracted)
wrongcode.trace.js-v1anchorconf · 291ms · $0.000 · 4 tok
model answer: (none extracted)
wrongcode.trace.python-v1anchorconf · 275ms · $0.000 · 4 tok
model answer: (none extracted)
instruction following 11/30 correct
wrongif.constraints.stack-v1conf · 195ms · $0.000 · 38 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "drift" and the last word must be "comet".
3. Use the word "basalt" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongif.format.acronym-v1conf 100% · 230ms · $0.000 · 16 tok
question
Take the second letter of each of these words, in order: nova, echo, ember, flint, falcon, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongif.constraints.stack-v1conf · 206ms · $0.000 · 1 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 15 words.
2. The first word must be "orbit" and the last word must be "basalt".
3. Use the word "flint" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.repeat-v1conf 100% · 205ms · $0.000 · 28 tok
question
Write the word "lumen" in lowercase form, repeated exactly 4 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: lumen_lumen_lumen_lumen
wrongif.format.acronym-v1conf 100% · 168ms · $0.000 · 20 tok
question
Take the first letter of each of these words, in order: quartz, comet, zephyr, drift, ember, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: QCEZDE
correctif.format.repeat-v1conf 100% · 208ms · $0.000 · 58 tok
question
Write the word "flint" in capitalized form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FLINT/FLINT/FLINT/FLINT/FLINT/FLINT/FLINT/FLINT
wrongif.constraints.stack-v1conf · 233ms · $0.000 · 71 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "comet" 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)
correctif.format.repeat-v1conf 100% · 355ms · $0.000 · 32 tok
question
Write the word "tundra" in lowercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra_tundra_tundra_tundra_tundra
wrongif.format.acronym-v1conf 100% · 162ms · $0.000 · 51 tok
question
Take the second letter of each of these words, in order: echo, ember, nova, drift, tundra, cedar. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: HBORUD
wrongif.constraints.stack-v1conf 80% · 163ms · $0.000 · 82 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "quartz" and the last word must be "ember".
3. Use the word "zephyr" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongif.format.acronym-v1conf 100% · 205ms · $0.000 · 58 tok
question
Take the third letter of each of these words, in order: delta, basalt, orbit, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: TRAN
wrongif.constraints.stack-v1conf · 595ms · $0.000 · 1 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "basalt" and the last word must be "comet".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.repeat-v1conf 100% · 266ms · $0.000 · 30 tok
question
Write the word "ember" 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: ember/ember/ember/ember/ember
wrongif.format.repeat-v1conf · 164ms · $0.000 · 17 tok
question
Write the word "echo" in capitalized 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.acronym-v1conf 100% · 102ms · $0.000 · 18 tok
question
Take the first letter of each of these words, in order: comet, falcon, cedar, quartz, tundra. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: CFTQT
wrongif.constraints.stack-v1conf · 179ms · $0.000 · 1 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "nova" and the last word must be "ember".
3. Use the word "drift" 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% · 241ms · $0.000 · 65 tok
question
Take the third letter of each of these words, in order: delta, nova, comet, lumen, orbit. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: TVMMR
correctif.format.repeat-v1conf 100% · 192ms · $0.000 · 44 tok
question
Write the word "lumen" 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: lumen-lumen-lumen-lumen-lumen-lumen-lumen-lumen
wrongif.constraints.stack-v1conf 80% · 222ms · $0.000 · 100 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "zephyr" and the last word must be "quartz".
3. Use the word "nova" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr whispers nova's gentle breeze across the vast expanse of the open road, a nova of hope in the distance, nova, guiding us through the darkness, a nova of light in the end, quartz
wrongif.format.acronym-v1conf 100% · 193ms · $0.000 · 46 tok
question
Take the third letter of each of these words, in order: lumen, zephyr, drift, nova. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: UHRO
wrongif.constraints.stack-v1conf · 222ms · $0.000 · 36 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "cedar" and the last word must be "falcon".
3. Use the word "quartz" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "j" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctif.format.repeat-v1conf 100% · 201ms · $0.000 · 23 tok
question
Write the word "quartz" in lowercase form, repeated exactly 3 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quartz/quartz/quartz
correctif.format.acronym-v1conf 100% · 172ms · $0.000 · 18 tok
question
Take the first letter of each of these words, in order: flint, cedar, tundra, basalt. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FCTB
correctif.format.repeat-v1conf 100% · 198ms · $0.000 · 58 tok
question
Write the word "nova" in uppercase form, repeated exactly 8 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NOVA/NOVA/NOVA/NOVA/NOVA/NOVA/NOVA/NOVA
wrongif.constraints.stack-v1conf · 177ms · $0.000 · 33 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 19 words.
2. The first word must be "drift" and the last word must be "delta".
3. Use the word "tundra" 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 100% · 266ms · $0.000 · 32 tok
question
Take the second letter of each of these words, in order: ember, echo, prism, nova, lumen, 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: EONPLFL
wrongif.constraints.stack-v1anchorconf · 414ms · $0.000 · 40 tok
model answer: (none extracted)
correctif.format.repeat-v1anchorconf 100% · 213ms · $0.000 · 44 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 183ms · $0.000 · 60 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 212ms · $0.000 · 18 tok
model answer: ZDFQ
knowledge 12/30 correct
correctknowledge.fr.factbank-v2conf 100% · 198ms · $0.000 · 14 tok
question
What is the chemical element with symbol Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
wrongknowledge.fr.factbank-v2conf · 198ms · $0.000 · 5 tok
question
What is the Nigerian capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctknowledge.fr.factbank-v2conf 100% · 201ms · $0.000 · 17 tok
question
Name the capital of Brazil.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Brasília
wrongknowledge.fr.factbank-v2conf · 285ms · $0.000 · 8 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: (none extracted)
wrongknowledge.fr.factbank-v2conf 100% · 187ms · $0.000 · 21 tok
question
Identify the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel Garcia Marquez
wrongknowledge.fr.factbank-v2conf · 214ms · $0.000 · 4 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: (none extracted)
correctknowledge.fr.factbank-v2conf 100% · 190ms · $0.000 · 15 tok
question
What is the element whose symbol is Sn?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 235ms · $0.000 · 16 tok
question
What is the element whose symbol is K?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
wrongknowledge.fr.factbank-v2conf · 243ms · $0.000 · 10 tok
question
Identify the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongknowledge.fr.factbank-v2conf · 1.1s · $0.000 · 5 tok
question
Name the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongknowledge.fr.factbank-v2conf · 137ms · $0.000 · 5 tok
question
What is the Turkish capital city?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctknowledge.fr.factbank-v2conf 100% · 240ms · $0.000 · 15 tok
question
Identify the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
wrongknowledge.fr.factbank-v2conf · 193ms · $0.000 · 4 tok
question
What is 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: (none extracted)
wrongknowledge.fr.factbank-v2conf · 299ms · $0.000 · 6 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: (none extracted)
wrongknowledge.fr.factbank-v2conf · 296ms · $0.000 · 6 tok
question
Name the Swiss capital (de facto).

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctknowledge.fr.factbank-v2conf 100% · 197ms · $0.000 · 16 tok
question
Name the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
wrongknowledge.fr.factbank-v2conf · 347ms · $0.000 · 7 tok
question
Identify the capital of Australia.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongknowledge.fr.factbank-v2conf 100% · 244ms · $0.000 · 21 tok
question
Name the author of "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel Garcia Marquez
wrongknowledge.fr.factbank-v2conf · 183ms · $0.000 · 10 tok
question
Identify the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
correctknowledge.fr.factbank-v2conf 100% · 190ms · $0.000 · 23 tok
question
Identify the writer of the novel "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 216ms · $0.000 · 18 tok
question
Identify the element whose symbol is W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
wrongknowledge.fr.factbank-v2conf 100% · 235ms · $0.000 · 21 tok
question
Identify the writer of the novel "One Hundred Years of Solitude".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Gabriel Garcia Marquez
correctknowledge.fr.factbank-v2conf 100% · 220ms · $0.000 · 15 tok
question
What is the capital of Australia?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
wrongknowledge.fr.factbank-v2conf · 322ms · $0.000 · 7 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: (none extracted)
wrongknowledge.fr.factbank-v2conf · 230ms · $0.000 · 5 tok
question
Name the Turkish capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongknowledge.fr.factbank-v2conf · 96ms · $0.000 · 5 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: (none extracted)
correctknowledge.fr.factbank-v2anchorconf 100% · 485ms · $0.000 · 15 tok
model answer: Mercury
wrongknowledge.fr.factbank-v2anchorconf · 837ms · $0.000 · 7 tok
model answer: (none extracted)
correctknowledge.fr.factbank-v2anchorconf 100% · 223ms · $0.000 · 18 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 255ms · $0.000 · 14 tok
model answer: Lead
math 0/30 correct
wrongmath.chained.pipeline-v1conf · 186ms · $0.000 · 1 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 22 × 22.
Step 2: Q = P × 4 − 481.
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: (none extracted)
wrongmath.counterfactual.base-v1conf · 114ms · $0.000 · 1 tok
question
Work strictly in base 8. Add the base-8 numbers 1747 and 1062. 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: (none extracted)
wrongmath.algebra.system-v2conf · 225ms · $0.000 · 1 tok
question
Solve the system, then answer the derived question.

2x + 5y = 217
2x − 7y = -179

What is the value of 5x − 2y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmath.percent.chain-v2conf · 249ms · $0.000 · 1 tok
question
An inventory starts at 53000 units. The company was founded 30 kilometers from the port. In the first month the inventory grows by 31%. A rival firm shipped 60 unrelated parcels the same week. The next month it shrinks by 26%, and the month after it grows by 24%. 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.percent.chain-v2conf · 297ms · $0.000 · 42 tok
question
An inventory starts at 3000 units. The company was founded 129 kilometers from the port. In the first month the inventory grows by 14%. The delivery van has a 75-liter fuel tank. The next month it shrinks by 38%, and the month after it grows by 25%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmath.arith.chain-v2conf · 181ms · $0.000 · 1 tok
question
Work out the exact value of this expression.

(((41 × 82 − 249) × 3 + 6217) − 73 × 56) × 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: (none extracted)
wrongmath.chained.pipeline-v1conf · 221ms · $0.000 · 1 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 57 × 58.
Step 2: Q = P × 9 − 743.
Step 3: divide Q by 8: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmath.counterfactual.base-v1conf · 224ms · $0.000 · 1 tok
question
Work strictly in base 13. Multiply the base-13 numbers 5A and 55. 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: (none extracted)
wrongmath.arith.chain-v2conf · 216ms · $0.000 · 1 tok
question
Calculate the following. Show your reasoning, then answer.

(((63 × 81 − 657) × 6 + 4650) − 92 × 73) × 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: (none extracted)
wrongmath.algebra.system-v2conf · 193ms · $0.000 · 1 tok
question
Solve the system, then answer the derived question.

3x + 6y = 45
2x − 5y = -186

What is the value of 2x − 4y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmath.chained.pipeline-v1conf 100% · 283ms · $0.000 · 100 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 62 × 82.
Step 2: Q = P × 7 − 303.
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: 5849 3
wrongmath.chained.pipeline-v1conf · 358ms · $0.000 · 1 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 39 × 63.
Step 2: Q = P × 3 − 374.
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: (none extracted)
wrongmath.counterfactual.base-v1conf · 121ms · $0.000 · 1 tok
question
Work strictly in base 13. Multiply the base-13 numbers 14 and 22. 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: (none extracted)
wrongmath.algebra.system-v2conf · 216ms · $0.000 · 1 tok
question
Solve the system, then answer the derived question.

7x + 7y = -308
3x − 5y = -4

What is the value of 6x − 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: (none extracted)
wrongmath.percent.chain-v2conf · 261ms · $0.000 · 1 tok
question
An inventory starts at 72000 units. The delivery van has a 146-liter fuel tank. In the first month the inventory grows by 24%. A rival firm shipped 91 unrelated parcels the same week. The next month it shrinks by 10%, and the month after it grows by 41%. 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.arith.chain-v2conf · 213ms · $0.000 · 1 tok
question
Work out the exact value of this expression.

(((51 × 54 − 508) × 6 + 9537) − 19 × 89) × 6

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmath.counterfactual.base-v1conf · 130ms · $0.000 · 1 tok
question
Work strictly in base 9. Multiply the base-9 numbers 44 and 50. Give the result IN BASE 9.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmath.percent.chain-v2conf · 198ms · $0.000 · 1 tok
question
An inventory starts at 70000 units. The company was founded 151 kilometers from the port. In the first month the inventory grows by 29%. The company was founded 40 kilometers from the port. The next month it shrinks by 5%, 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: (none extracted)
wrongmath.algebra.system-v2conf · 249ms · $0.000 · 1 tok
question
Solve the system, then answer the derived question.

9x + 2y = -231
6x − 5y = -306

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: (none extracted)
wrongmath.arith.chain-v2conf · 185ms · $0.000 · 1 tok
question
Compute the value of the following expression.

(((63 × 86 − 193) × 8 + 9150) − 92 × 15) × 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: (none extracted)
wrongmath.chained.pipeline-v1conf · 227ms · $0.000 · 1 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 33 × 44.
Step 2: Q = P × 9 − 734.
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: (none extracted)
wrongmath.percent.chain-v2conf · 487ms · $0.000 · 1 tok
question
An inventory starts at 4000 units. The delivery van has a 35-liter fuel tank. In the first month the inventory grows by 25%. A rival firm shipped 112 unrelated parcels the same week. The next month it shrinks by 36%, and the month after it grows by 27%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmath.algebra.system-v2conf · 496ms · $0.000 · 1 tok
question
Solve the system, then answer the derived question.

5x + 6y = 24
8x − 5y = -312

What is the value of 4x − 5y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmath.counterfactual.base-v1conf · 189ms · $0.000 · 1 tok
question
Work strictly in base 13. Multiply the base-13 numbers 4A and 60. 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: (none extracted)
wrongmath.chained.pipeline-v1conf 100% · 273ms · $0.000 · 72 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 18 × 19.
Step 2: Q = P × 5 − 499.
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: 202
wrongmath.arith.chain-v2anchorconf 100% · 317ms · $0.000 · 99 tok
model answer: 35051
wrongmath.arith.chain-v2conf · 199ms · $0.000 · 1 tok
question
Compute the value of the following expression.

(((90 × 60 − 574) × 4 + 7190) − 14 × 58) × 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: (none extracted)
wrongmath.counterfactual.base-v1anchorconf · 300ms · $0.000 · 1 tok
model answer: (none extracted)
wrongmath.percent.chain-v2anchorconf · 221ms · $0.000 · 1 tok
model answer: (none extracted)
wrongmath.algebra.system-v2anchorconf · 338ms · $0.000 · 1 tok
model answer: (none extracted)
multilingual 0/30 correct
wrongmultilingual.wordnum-v1conf · 130ms · $0.000 · 1 tok
question
A number is written in French: « deux cent deux ». Another is written in Spanish: « ochocientos cuarenta ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.wordnum-v1conf · 237ms · $0.000 · 3 tok
question
A number is written in French: « trois cent quatre-vingt-sept ». Another is written in Spanish: « novecientos cuarenta y nueve ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.numword-v2conf · 205ms · $0.000 · 9 tok
question
Compute 481 + 264, 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.numword-v2conf · 249ms · $0.000 · 12 tok
question
Compute 417 + 120, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.wordnum-v1conf · 173ms · $0.000 · 1 tok
question
A number is written in French: « huit cent six ». Another is written in Spanish: « setecientos 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 · 196ms · $0.000 · 17 tok
question
Compute 259 + 365, 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: (none extracted)
wrongmultilingual.numword-v2conf · 332ms · $0.000 · 29 tok
question
Compute 394 + 157, 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 · 209ms · $0.000 · 1 tok
question
A number is written in French: « sept cent quatre-vingt-cinq ». Another is written in Spanish: « doscientos cincuenta 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.wordnum-v1conf · 302ms · $0.000 · 4 tok
question
A number is written in French: « cent quarante et un ». Another is written in Spanish: « cuatrocientos veintidós ». 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 · 178ms · $0.000 · 17 tok
question
Compute 223 + 458, 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: (none extracted)
wrongmultilingual.wordnum-v1conf · 180ms · $0.000 · 1 tok
question
A number is written in French: « quatre cent quarante-trois ». Another is written in Spanish: « ochocientos treinta 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 · 273ms · $0.000 · 17 tok
question
Compute 337 + 140, 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 · 189ms · $0.000 · 1 tok
question
A number is written in French: « neuf cent cinq ». Another is written in Spanish: « ochocientos trece ». 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 · 194ms · $0.000 · 1 tok
question
A number is written in French: « soixante-quatre ». Another is written in Spanish: « ochocientos veinticuatro ». 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% · 329ms · $0.000 · 25 tok
question
Compute 161 + 392, 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.numword-v2conf · 207ms · $0.000 · 21 tok
question
Compute 208 + 416, 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: (none extracted)
wrongmultilingual.wordnum-v1conf · 247ms · $0.000 · 2 tok
question
A number is written in French: « six cent quatre ». Another is written in Spanish: « seiscientos veintinueve ». 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 · 227ms · $0.000 · 20 tok
question
Compute 126 + 439, 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.numword-v2conf · 227ms · $0.000 · 12 tok
question
Compute 266 + 64, 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 · 266ms · $0.000 · 1 tok
question
A number is written in French: « cent soixante-quatre ». Another is written in Spanish: « ochocientos diez ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.wordnum-v1conf · 247ms · $0.000 · 5 tok
question
A number is written in French: « trois cent neuf ». Another is written in Spanish: « cuatrocientos veintiocho ». 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 · 791ms · $0.000 · 1 tok
question
A number is written in French: « huit cent cinquante ». Another is written in Spanish: « trescientos ochenta y seis ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongmultilingual.numword-v2conf 100% · 219ms · $0.000 · 35 tok
question
Compute 55 + 267, 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 · 169ms · $0.000 · 1 tok
question
A number is written in French: « cent soixante-quatorze ». Another is written in Spanish: « ciento 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% · 288ms · $0.000 · 23 tok
question
Compute 259 + 226, 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.numword-v2conf · 251ms · $0.000 · 14 tok
question
Compute 161 + 451, 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: (none extracted)
wrongmultilingual.wordnum-v1anchorconf · 359ms · $0.000 · 4 tok
model answer: (none extracted)
wrongmultilingual.numword-v2anchorconf · 103ms · $0.000 · 14 tok
model answer: (none extracted)
wrongmultilingual.wordnum-v1anchorconf · 266ms · $0.000 · 1 tok
model answer: (none extracted)
wrongmultilingual.numword-v2anchorconf · 333ms · $0.000 · 8 tok
model answer: (none extracted)
reasoning 2/30 correct
wrongreasoning.deduction.position-v1conf · 219ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Priya is number 3 in the queue. Ola is directly ahead of Kira. Kira is directly ahead of Priya. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.order-v2conf · 211ms · $0.000 · 6 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Chen is taller than Quinn. Kira is taller than Ola. Sami is taller than Quinn. Chen is taller than Alice. Quinn is taller than Kira. Farah is heavier than everyone here, but Farah is not being ranked. Sami is taller than Chen. Dara is taller than Kira. Alice is taller than Quinn. Dara is taller than Sami. 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: (none extracted)
wrongreasoning.deduction.position-v1conf · 488ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 4 in the queue. Hana is directly ahead of Sami. Sami is directly ahead of Emil. Rosa is directly ahead of Hana. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.order-v2conf · 446ms · $0.000 · 1 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Alice is heavier than Chen. Emil is heavier than Liam. Alice is heavier than Liam. Hana is heavier than Emil. Priya is heavier than Hana. Jonas is faster than everyone here, but Jonas is not being ranked. Liam is heavier than Sami. Emil is heavier than Sami. Emil is heavier than Sami. Chen is heavier than Priya. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.position-v1conf · 226ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Dara. Alice is number 1 in the queue. Liam 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: (none extracted)
wrongreasoning.deduction.order-v2conf · 179ms · $0.000 · 7 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Farah is heavier than Ola. Sami is heavier than Rosa. Liam is taller than everyone here, but Liam is not being ranked. Farah is heavier than Ola. Rosa is heavier than Mona. Ola is heavier than Quinn. Mona is heavier than Ola. Farah is heavier than Mona. Ines is heavier than Sami. Rosa is heavier 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: (none extracted)
wrongreasoning.deduction.position-v1conf · 206ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Priya is number 1 in the queue. Nadir is directly ahead of Kira. Kira is directly ahead of Sami. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.order-v2conf · 212ms · $0.000 · 6 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Farah is taller than Sami. Mona is taller than Sami. Priya is heavier than everyone here, but Priya is not being ranked. Hana is taller than Mona. Sami is taller than Bruno. Bruno is taller than Jonas. Farah is taller than Alice. Mona is taller than Farah. Jonas is taller than Alice. Farah is taller than Bruno. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.position-v1conf · 210ms · $0.000 · 1 tok
question
Four people stand in a queue (number 1 is the front). Farah is number 1 in the queue. Jonas is directly ahead of Nadir. Nadir is directly ahead of Ines. 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: (none extracted)
correctreasoning.deduction.order-v2conf 100% · 314ms · $0.000 · 16 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Jonas. Hana is faster than Liam. Chen is faster than Nadir. Mona is heavier than everyone here, but Mona is not being ranked. Liam is faster than Jonas. Nadir is faster than Ola. Ola is faster than Liam. Goran is faster than Chen. Ola is faster than Hana. Hana is faster than Jonas. Who is fifth (rank 5)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
wrongreasoning.deduction.position-v1conf · 227ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Chen is directly ahead of Bruno. Nadir is number 3 in the queue. Bruno is directly ahead of Nadir. 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: (none extracted)
wrongreasoning.deduction.order-v2conf · 202ms · $0.000 · 6 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Mona is faster than Chen. Dara is faster than Farah. Hana is taller than everyone here, but Hana is not being ranked. Tessa is faster than Chen. Priya is faster than Tessa. Mona is faster than Goran. Tessa is faster than Mona. Chen is faster than Goran. Goran is faster than Dara. Mona is faster than Goran. 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: (none extracted)
wrongreasoning.deduction.position-v1conf · 231ms · $0.000 · 1 tok
question
Four people stand in a queue (number 1 is the front). Dara is number 2 in the queue. Mona is directly ahead of Chen. Kira is directly ahead of Dara. 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: (none extracted)
wrongreasoning.deduction.order-v2conf · 277ms · $0.000 · 7 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Alice is faster than Dara. Alice is faster than Ines. Nadir is faster than Alice. Hana is faster than Nadir. Goran is faster than Hana. Nadir is faster than Ola. Ines is faster than Dara. Ines is faster than Ola. Tessa is older than everyone here, but Tessa is not being ranked. Dara is faster than Ola. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.position-v1conf 100% · 178ms · $0.000 · 15 tok
question
Four people stand in a queue (number 1 is the front). Bruno is directly ahead of Liam. Sami is directly ahead of Bruno. Liam is directly ahead of Kira. Kira is number 4 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: Liam
wrongreasoning.deduction.position-v1conf 100% · 230ms · $0.000 · 30 tok
question
Four people stand in a queue (number 1 is the front). Hana is directly ahead of Nadir. Farah is directly ahead of Tessa. Nadir is number 2 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.order-v2conf · 149ms · $0.000 · 35 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Emil is older than Tessa. Mona is older than Chen. Chen is older than Emil. Emil is older than Goran. Dara is older than Bruno. Tessa is older than Bruno. Sami is faster than everyone here, but Sami is not being ranked. Goran is older than Dara. Tessa is older than Goran. Chen is older than Goran. 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: (none extracted)
wrongreasoning.deduction.order-v2conf · 123ms · $0.000 · 6 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Quinn. Liam is heavier than Quinn. Farah is heavier than Ola. Farah is heavier than Liam. Ola is heavier than Liam. Priya is heavier than Farah. Quinn is heavier than Ines. Ines is heavier than Mona. Liam is heavier than Ines. Chen is older than everyone here, but Chen is not being ranked. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.position-v1conf · 271ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Sami. Chen is number 1 in the queue. Dara is directly ahead of Emil. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.order-v2conf · 233ms · $0.000 · 7 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Priya is heavier than everyone here, but Priya is not being ranked. Chen is taller than Emil. Tessa is taller than Emil. Ola is taller than Tessa. Chen is taller than Tessa. Liam is taller than Sami. Sami is taller than Hana. Sami is taller than Ola. Hana is taller than Chen. Chen is taller than Ola. 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: (none extracted)
wrongreasoning.deduction.order-v2conf · 162ms · $0.000 · 7 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Priya is heavier than Sami. Rosa is heavier than Sami. Rosa is heavier than Ines. Goran is heavier than Ines. Jonas is faster than everyone here, but Jonas is not being ranked. Chen is heavier than Liam. Liam is heavier than Goran. Sami is heavier than Chen. Rosa is heavier than Priya. Rosa is heavier than Sami. Who is fourth (rank 4)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.position-v1conf · 120ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Rosa is directly ahead of Jonas. Jonas is directly ahead of Hana. Goran 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: (none extracted)
wrongreasoning.deduction.order-v2conf · 285ms · $0.000 · 6 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Emil is faster than everyone here, but Emil is not being ranked. Ines is taller than Goran. Dara is taller than Goran. Liam is taller than Mona. Farah is taller than Liam. Ines is taller than Quinn. Mona is taller than Ines. Mona is taller than Quinn. Ines is taller than Goran. Quinn is taller 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: (none extracted)
wrongreasoning.deduction.position-v1conf · 177ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Liam is directly ahead of Priya. Nadir is directly ahead of Liam. Priya is number 4 in the queue. Tessa is directly ahead of Nadir. 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: (none extracted)
wrongreasoning.deduction.position-v1conf · 200ms · $0.000 · 5 tok
question
Four people stand in a queue (number 1 is the front). Ola is number 4 in the queue. Hana is directly ahead of Emil. Emil is directly ahead of Ines. Ines is directly ahead of Ola. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongreasoning.deduction.order-v2conf · 102ms · $0.000 · 1 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Rosa is older than everyone here, but Rosa is not being ranked. Tessa is heavier than Jonas. Emil is heavier than Ines. Hana is heavier than Ines. Tessa is heavier than Ola. Ola is heavier than Jonas. Goran is heavier than Ines. Hana is heavier than Tessa. Jonas is heavier than Emil. Goran is heavier 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: (none extracted)
wrongreasoning.deduction.position-v1anchorconf · 100ms · $0.000 · 5 tok
model answer: (none extracted)
wrongreasoning.deduction.order-v2anchorconf · 257ms · $0.000 · 6 tok
model answer: (none extracted)
correctreasoning.deduction.order-v2anchorconf 100% · 313ms · $0.000 · 31 tok
model answer: Mona
wrongreasoning.deduction.position-v1anchorconf · 219ms · $0.000 · 5 tok
model answer: (none extracted)
terminal 0/30 correct
TimeoutError: The operation was aborted due to timeoutterminal.fs.tree-v1conf · · · tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/build`, `/proj/logs`, `/proj/src`):

```
/proj/build/main.log
/proj/report.log
/proj/setup.md
/proj/src/draft.log
/proj/src/todo.md
```

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

```sh
mv src/draft.log src/index-2.cfg
mv setup.md draft-9.md
touch report-4.txt
mkdir -p build-4
mv report-4.txt todo-9.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf 100% · 222ms · $0.000 · 80 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/conf`):

```
/proj/assets/index.txt
/proj/conf/report.log
/proj/docs/setup.cfg
/proj/main.cfg
/proj/notes.md
```

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

```sh
mv conf/report.log conf/main-5.log
mv main.cfg draft-9.cfg
cd conf
touch draft-9.cfg
mv main-5.log ../../proj/docs/
mkdir -p docs-6
touch ../../proj/draft-5.txt
mkdir -p ../../proj/docs/logs-1
touch ../../proj/docs/index-2.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/index.txt /proj/conf/main-5.log /proj/conf/report.log /proj/docs/draft-5.txt /proj/docs/docs-6 /proj/docs/index-2.txt /proj/docs/logs-1 /proj/docs/setup.cfg /proj/main.cfg /proj/notes.md
wrongterminal.exit.chain-v1conf 100% · 244ms · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q amber notes.txt && echo A || echo B
grep -q dune notes.txt && echo C || echo D
test -f tmp.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: echo B echo C echo F Z exit:1
wrongterminal.pipeline.predict-v1conf 100% · 299ms · $0.000 · 14 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,hr,56,57
ned,legal,64,99
kim,sales,47,26
oli,ops,38,78
cy,ops,42,37
ana,ops,83,92
max,legal,113,18
hal,hr,102,33
eli,hr,58,73
lou,hr,88,57
pam,sales,10,93
ivy,hr,40,50
fay,hr,36,11
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 63 { 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: 0
wrongterminal.exit.chain-v1conf 100% · 322ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q coral notes.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: A B Z exit:0
wrongterminal.fs.tree-v1conf 100% · 189ms · $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/docs`, `/proj/logs`, `/proj/build`):

```
/proj/build/main.txt
/proj/build/report.md
/proj/docs/draft.md
/proj/index.cfg
/proj/util.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 index.cfg draft-7.cfg
rm build/report.md
rm util.md
touch docs/index-3.log
mv docs/index-3.log logs/
cd logs
mkdir -p ../../proj/docs/logs-5
touch ../../proj/docs/report-8.cfg
touch ../../proj/todo-4.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/main.txt /proj/build/report.md /proj/docs/draft-7.cfg /proj/docs/index-3.log /proj/docs/logs-5 /proj/index.cfg /proj/logs/report-8.cfg /proj/logs/todo-4.cfg
wrongterminal.pipeline.predict-v1conf · 218ms · $0.000 · 1 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,ops,68,78
dev,hr,85,92
oli,sales,117,97
max,legal,64,17
bo,sales,51,65
ana,hr,79,89
hal,eng,63,96
kim,legal,72,79
gus,ops,116,43
lou,legal,24,76
eli,ops,72,15
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 77 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf 100% · 455ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E G Z exit:0
wrongterminal.fs.tree-v1conf · 223ms · $0.000 · 1 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/logs`):

```
/proj/conf/index.md
/proj/conf/setup.md
/proj/notes.log
/proj/src/draft.md
/proj/util.log
```

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

```sh
cp conf/index.md ./
rm index.md
mv conf/setup.md conf/main-1.txt
rm src/draft.md
mv util.log draft-5.cfg
mkdir -p logs/src-4
mkdir -p conf/logs-7
mkdir -p logs/build-2
cd 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.pipeline.predict-v1conf 100% · 220ms · $0.000 · 16 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
bo,hr,50,76
kim,hr,13,45
dev,legal,57,85
ivy,sales,68,79
gus,hr,86,23
cy,legal,100,55
eli,legal,25,96
jon,eng,25,62
hal,ops,85,39
ana,ops,44,37
fay,ops,46,48
max,hr,5,54
lou,hr,42,87
oli,ops,120,85
```

What is the EXACT stdout of this command?

```sh
grep -F ',hr,' people.csv | cut -d, -f1,3 | sort | head -n 2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: bo eli
wrongterminal.fs.tree-v1conf 100% · 285ms · $0.000 · 47 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/assets`):

```
/proj/build/report.md
/proj/build/todo.cfg
/proj/conf/main.log
/proj/setup.txt
/proj/util.cfg
```

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

```sh
mkdir -p src-4
rm build/report.md
rm build/todo.cfg
cd .
touch assets/report-5.txt
mkdir -p build/logs-4
cd assets
cp ../../proj/conf/main.log ../../proj/
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ../../proj/build/logs-4/todo.cfg ../../proj/conf/main.log ../../proj/setup.txt ../../proj/util.cfg ../../proj/build/report-5.txt
wrongterminal.exit.chain-v1conf 100% · 217ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E H exit:0
wrongterminal.pipeline.predict-v1conf · 234ms · $0.000 · 1 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
fay,ops,49,70
max,sales,95,39
bo,sales,107,98
gus,legal,6,32
dev,sales,16,53
ivy,ops,56,56
eli,eng,60,81
lou,eng,76,26
ana,eng,56,49
```

What is the EXACT stdout of this command?

```sh
grep -F ',sales,' 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: (none extracted)
wrongterminal.exit.chain-v1conf 100% · 355ms · $0.000 · 24 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 basil notes.txt && echo A || echo B
grep -q amber notes.txt && 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: A C F Z exit:1
wrongterminal.fs.tree-v1conf 100% · 229ms · $0.000 · 52 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/src`, `/proj/build`):

```
/proj/build/todo.cfg
/proj/draft.cfg
/proj/logs/main.txt
/proj/report.log
/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
mkdir -p build/assets-6
touch main-3.cfg
cd logs
rm ../../proj/report.log
cp ../../proj/build/todo.cfg ../../proj/build/assets-6/
touch ../../proj/build/main-9.txt
cd .
rm ../../proj/build/main-9.txt
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/assets-6/main-3.cfg /proj/build/assets-6/todo.cfg /proj/build/main-9.txt /proj/draft.cfg /proj/logs/main.txt
wrongterminal.pipeline.predict-v1conf · 201ms · $0.000 · 1 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
fay,ops,7,20
kim,ops,114,43
jon,sales,81,75
hal,sales,120,27
gus,ops,45,12
ivy,hr,118,37
ned,hr,106,52
cy,sales,73,81
dev,sales,68,33
lou,legal,33,39
eli,sales,70,29
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.fs.tree-v1conf 100% · 206ms · $0.000 · 68 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/build/notes.log
/proj/build/todo.cfg
/proj/build/util.txt
/proj/index.txt
/proj/main.cfg
```

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

```sh
mkdir -p assets/conf-8
cp build/todo.cfg ./
touch assets/notes-6.cfg
cd assets
touch ../../proj/main-4.md
touch todo-5.txt
rm ../../proj/index.txt
cd ../../proj/build
touch setup-1.cfg
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/conf-8.cfg /proj/assets/notes-6.cfg /proj/assets/todo-5.txt /proj/build/setup-1.cfg /proj/build/todo.cfg /proj/main-4.md /proj/main.cfg /proj/util.txt
wrongterminal.exit.chain-v1conf 100% · 218ms · $0.000 · 34 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: echo A echo B echo C echo D echo E echo F exit 1
wrongterminal.pipeline.predict-v1conf · 206ms · $0.000 · 1 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,legal,66,90
pam,hr,104,78
bo,legal,67,11
hal,hr,57,66
eli,ops,31,98
fay,ops,65,89
jon,legal,50,64
kim,hr,56,44
ana,eng,60,45
ned,legal,39,49
```

What is the EXACT stdout of this command?

```sh
grep -F ',eng,' people.csv | awk -F, '$4 > 77 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.exit.chain-v1conf 100% · 320ms · $0.000 · 24 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E Z exit:0
wrongterminal.exit.chain-v1conf 100% · 280ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A B C Z exit:0
wrongterminal.pipeline.predict-v1conf · 230ms · $0.000 · 1 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
oli,sales,76,68
ana,legal,106,12
pam,eng,61,71
jon,sales,34,17
lou,ops,45,11
ned,legal,35,39
max,legal,39,86
hal,sales,93,62
ivy,eng,76,12
bo,eng,106,38
eli,ops,110,74
dev,eng,84,20
kim,eng,59,53
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongterminal.pipeline.predict-v1conf 100% · 287ms · $0.000 · 38 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ana,eng,40,80
cy,legal,91,69
jon,hr,115,63
hal,hr,20,45
ivy,legal,73,46
lou,sales,33,59
dev,ops,89,57
kim,hr,39,86
gus,legal,58,84
oli,eng,55,54
pam,legal,76,77
fay,hr,22,70
eli,hr,3,87
bo,ops,22,19
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ana,eng,40,80 cy,legal,91,69 eli,hr,3,87
wrongterminal.fs.tree-v1conf 100% · 234ms · $0.000 · 53 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/conf`, `/proj/assets`):

```
/proj/assets/index.txt
/proj/assets/todo.md
/proj/main.md
/proj/notes.log
/proj/src/report.md
```

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

```sh
mkdir -p docs-2
cd assets
cp ../../proj/notes.log ../../proj/conf/
rm ../../proj/main.md
rm index.txt
rm todo.md
touch ../../proj/draft-6.log
touch main-7.txt
cd ../../proj/docs-2
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft-6.log /proj/assets/index.txt /proj/assets/todo.md /proj/conf/notes.log /proj/main-7.txt /proj/src/report.md
wrongterminal.exit.chain-v1conf 0% · 209ms · $0.000 · 26 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E H Z exit:1
wrongterminal.fs.tree-v1conf 100% · 213ms · $0.000 · 68 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/logs`, `/proj/docs`, `/proj/conf`):

```
/proj/conf/todo.md
/proj/draft.md
/proj/logs/main.txt
/proj/logs/util.cfg
/proj/setup.txt
```

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

```sh
cp draft.md logs/
cd conf
rm ../../proj/logs/main.txt
cp todo.md ../../proj/docs/
cd .
mkdir -p ../../proj/logs/assets-6
cp ../../proj/logs/util.cfg ../../proj/
cd .
cp ../../proj/draft.md ./
touch report-2.log
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/todo.md /proj/conf/util.cfg /proj/docs/draft.md /proj/logs/assets-6/main.txt /proj/logs/assets-6/util.cfg /proj/logs/main.txt /proj/logs/report-2.log /proj/setup.txt
wrongterminal.pipeline.predict-v1anchorconf · 188ms · $0.000 · 1 tok
model answer: (none extracted)
wrongterminal.exit.chain-v1anchorconf 100% · 228ms · $0.000 · 26 tok
model answer: A D E G Z exit:0
wrongterminal.pipeline.predict-v1anchorconf 100% · 217ms · $0.000 · 1 tok
model answer: 0 CONFIDENCE: 100
wrongterminal.fs.tree-v1anchorconf 100% · 127ms · $0.000 · 64 tok
model answer: /proj/build/setup-8.md /proj/build/logs-1 /proj/build/logs-8 /proj/docs/report-8.cfg /proj/docs/util.log /proj/main.log /proj/report.cfg /proj/src/index.cfg

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