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cohere/command-r-08-2024 · cohere · context 128 000 · in $0.150/1M · out $0.600/1M

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383

95% CI [356410] · index v0.2.0

Per-domain scores

DomainScore (95% CI)Accuracy (IRT)ConsistencyCalibrationContam. Δp50$/1k
agentic329 [262396]
0.1740.800.250.093242ms$0.282
code280 [250311]
0.0550.580.100.000201ms$0.171
instruction following267 [203331]
0.1860.770.400.404214ms$0.044
knowledge681 [516846]
0.5270.980.970.038198ms$0.021
math316 [281352]
0.0790.620.270.000211ms$0.139
multilingual379 [336422]
0.1080.850.370.000203ms$0.028
reasoning370 [332407]
0.0840.950.270.000199ms$0.030
terminal439 [368510]
0.2060.900.300.000204ms$0.066

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agentic 7/30 correct
wrongagentic.tools.context-load-v1conf 100% · 714ms · $0.001 · 1046 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 (124 records, format: id|customer|region|item|qty|status):
```
1407|ember|west|pump|27|pending
1599|ember|south|gasket|43|held
1775|ember|west|cable|27|pending
1430|ember|west|valve|87|shipped
1539|fulton|west|rotor|19|paid
1589|dorian|east|frame|71|shipped
1645|gale|east|frame|10|shipped
1756|birch|west|sensor|70|held
1870|ionic|south|panel|67|pending
1722|dorian|north|gasket|40|shipped
1552|cobalt|west|pump|42|pending
1877|ionic|west|gasket|14|held
1833|acme|south|cable|22|pending
1581|fulton|north|sensor|55|paid
1724|gale|north|sensor|82|held
1758|acme|north|panel|15|pending
1597|acme|north|cable|29|shipped
1514|cobalt|south|sensor|92|pending
1691|cobalt|west|rotor|41|paid
1707|birch|south|pump|52|shipped
1697|dorian|south|rotor|90|shipped
1784|ember|south|cable|89|pending
1604|fulton|north|pump|67|pending
1637|ember|south|pump|20|paid
1507|harbor|south|rotor|71|pending
1728|birch|east|rotor|36|shipped
1615|dorian|north|panel|55|shipped
1627|acme|east|cable|51|held
1873|gale|west|cable|50|shipped
1486|juno|west|panel|89|held
1422|ember|west|rotor|54|pending
1596|fulton|north|sensor|74|shipped
1804|cobalt|east|cable|80|pending
1560|ionic|north|frame|68|held
1690|juno|east|sensor|34|pending
1489|juno|south|gasket|43|shipped
1573|ember|west|panel|93|held
1793|dorian|north|cable|96|shipped
1467|gale|south|pump|15|held
1443|ember|west|sensor|59|held
1603|harbor|east|frame|39|held
1848|juno|east|rotor|19|pending
1442|ember|south|valve|68|pending
1451|ember|north|panel|90|pending
1683|ember|south|rotor|35|shipped
1487|dorian|south|cable|72|held
1732|birch|north|rotor|80|paid
1508|juno|north|gasket|52|pending
1901|cobalt|east|pump|91|pending
1567|birch|north|panel|43|pending
1831|ember|east|frame|49|held
1593|gale|west|gasket|26|pending
1768|dorian|north|sensor|98|held
1750|harbor|north|cable|83|pending
1702|juno|west|valve|27|shipped
1699|ember|north|valve|46|shipped
1836|ember|south|gasket|38|held
1474|harbor|north|gasket|48|shipped
1744|gale|west|panel|58|held
1734|gale|west|cable|93|pending
1782|birch|south|cable|95|pending
1654|harbor|north|pump|78|paid
1648|juno|west|valve|32|held
1577|ember|north|gasket|68|paid
1501|gale|south|rotor|84|paid
1462|birch|north|frame|87|shipped
1671|cobalt|west|frame|23|shipped
1787|harbor|west|panel|92|shipped
1535|ionic|north|panel|85|paid
1561|ember|south|pump|48|shipped
1891|cobalt|west|gasket|15|pending
1825|cobalt|north|gasket|20|pending
1857|dorian|south|cable|19|shipped
1594|dorian|west|panel|25|shipped
1495|ember|south|cable|71|shipped
1818|cobalt|east|valve|26|paid
1790|ionic|west|gasket|60|held
1607|fulton|west|rotor|42|held
1435|ember|west|panel|28|pending
1528|acme|west|pump|96|shipped
1545|birch|south|frame|73|pending
1522|dorian|south|cable|37|pending
1502|harbor|south|cable|55|shipped
1727|ionic|east|valve|21|pending
1890|birch|west|rotor|80|shipped
1853|cobalt|east|frame|67|paid
1418|ember|west|frame|16|shipped
1800|dorian|east|gasket|36|pending
1505|harbor|east|gasket|56|pending
1661|cobalt|west|cable|77|shipped
1719|acme|south|valve|97|pending
1640|birch|west|gasket|48|held
1516|ember|north|frame|66|shipped
1713|dorian|east|cable|90|held
1578|fulton|south|panel|10|held
1630|ionic|south|gasket|85|shipped
1411|ember|east|panel|51|pending
1706|cobalt|east|gasket|42|held
1864|fulton|south|cable|79|shipped
1609|fulton|south|cable|93|pending
1458|ember|west|cable|19|held
1842|ionic|north|valve|35|held
1762|gale|west|frame|19|held
1813|dorian|west|valve|69|paid
1682|fulton|north|rotor|36|pending
1896|gale|west|panel|46|held
1445|ember|west|panel|70|pending
1496|dorian|west|gasket|46|paid
1717|ember|west|frame|61|held
1881|cobalt|east|valve|38|shipped
1424|ember|north|frame|59|pending
1559|ember|south|sensor|25|paid
1588|fulton|north|rotor|13|paid
1708|birch|west|sensor|55|shipped
1480|dorian|east|cable|96|pending
1678|birch|south|valve|56|pending
1738|cobalt|east|panel|63|paid
1622|harbor|north|cable|30|held
1774|cobalt|south|pump|56|pending
1884|ionic|south|rotor|44|shipped
1806|harbor|east|valve|42|held
1668|gale|east|panel|62|shipped
1636|acme|west|rotor|94|held
1834|gale|north|pump|70|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "restock", "args": { "item": "pump", "qty": 27 } }, { "tool": "restock", "args": { "item": "cable", "qty": 27 } }, { "tool": "restock", "args": { "item": "panel", "qty": 93 } }, { "tool": "restock", "args": { "item": "frame", "qty": 16 } }, { "tool": "restock", "args": { "item": "panel", "qty": 28 } }, { "tool": "restock", "args": { "item": "frame", "qty": 61 } }, { "tool": "restock", "args": { "item": "panel", "qty": 70 } }, { "tool": "restock", "args": { "item": "cable", "qty": 19 } }, { "tool": "restock", "args": { "item": "panel", "qty": 51 } }, { "tool": "restock", "args": { "item": "cable", "qty": 59 } }, { "tool": "restock", "args": { "item": "frame", "qty": 66 } }, { "tool": "restock", "args": { "item": "cable", "qty": 71 } }, { "tool": "restock", "args": { "item": "frame", "qty": 10 } }, { "tool": "restock", "args": { "item": "cable", "qty": 89 } }, { "tool": "restock", "args": { "item": "valve", "qty": 87 } }, { "tool": "restock", "args": { "item": "sensor", "qty": 25 } }, { "tool": "restock", "args": { "item": "frame", "qty": 61 } }, { "tool": "restock", "args": { "item": "cable", "qty": 89 } }, { "tool": "restock", "args": { "item": "gasket", "qty": 46 } }, { "tool": "restock", "args": { "item": "frame", "qty": 49 } }, { "tool": "restock", "args": { "item": "gasket", "qty": 38 } }, { "tool": "restock", "args": { "item": "valve", "qty": 46 } }, { "tool": "restock", "args": { "item": "gasket", "qty": 68 } }, { "tool": "restock", "args": { "item": "sensor", "qty": 59 } }, { "tool": "restock", "args": { "item": "frame", "qty": 54 } }, { "tool": "restock", "args": { "item": "sensor", "qty": 87 } }, { "tool": "restock", "args": { "item": "rotor", "qty": 54 } }, { "tool": "restock", "args": { "item": "sensor", "qty": 93 } }, { "tool": "restock", "args": { "item": "valve", "qty": 68 } }, { "tool": "restock", "args": { "item": "gasket", "qty": 89 } }, { "tool": "restock", "args": { "item": "cable", "qty": 89 } } ]
wrongagentic.tools.ledger-v1conf 100% · 248ms · $0.000 · 207 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $336
- kilo: $235
- echo: $489

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $373 from "echo" to "tango"
2. pay $413 from "tango" to "echo"
3. pay $337 from "kilo" to "tango"
4. pay $513 from "kilo" to "tango"
5. pay $197 from "kilo" to "tango"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "echo", "to": "tango", "amount": 373}}, {"tool": "transfer", "args": {"from": "tango", "to": "echo", "amount": 413}}, {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 337}}, {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 513}}, {"tool": "top_up_from_reserve", "args": {"account": "kilo", "amount": 180}}, {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 197}} ]
correctagentic.tools.triage-v1conf 100% · 1.5s · $0.000 · 278 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:
- infra → rivera
- payments → okafor
- auth → silva

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 5)
2. "refund double-charged" (category: payments, priority 9)
3. "refund double-charged" (category: payments, priority 9)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 5 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "rivera" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 9 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } } ]
correctagentic.tools.deploy-v1conf 100% · 203ms · $0.000 · 102 tok
question
You are a release agent operating strictly through tool calls.

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

SERVICES AND THEIR DEPENDENCIES (a service can only be deployed after ALL its dependencies):
- billing: notifier
- reports: notifier
- auth-svc: reports
- 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": "notifier"}}, {"tool": "deploy", "args": {"service": "billing"}}, {"tool": "health_check", "args": {"service": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "auth-svc"}} ]
wrongagentic.tools.ledger-v1conf 100% · 204ms · $0.000 · 146 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: $545
- kilo: $435
- oscar: $332

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $356 from "oscar" to "bravo"
2. pay $470 from "kilo" to "bravo"
3. pay $130 from "oscar" to "bravo"
4. pay $556 from "bravo" to "kilo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 356}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 470}}, {"tool": "transfer", "args": {"from": "oscar", "to": "bravo", "amount": 130}}, {"tool": "transfer", "args": {"from": "bravo", "to": "kilo", "amount": 556}} ]
wrongagentic.tools.triage-v1conf 100% · 240ms · $0.000 · 271 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 8)
2. "records missing after import" (category: data, priority 2)
3. "uploads failing intermittently" (category: infra, priority 3)
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: [ {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}}, {"tool": "create_ticket", "args": {"title": "records missing after import", "priority": 2}}, {"tool": "create_ticket", "args": {"title": "uploads failing intermittently", "priority": 3}}, {"tool": "create_ticket", "args": {"title": "SSO loop on login", "priority": 8}}, {"tool": "assign", "args": {"ticket_id": "TCK-1", "agent": "tanaka"}}, {"tool": "assign", "args": {"ticket_id": "TCK-2", "agent": "novak"}}, {"tool": "assign", "args": {"ticket_id": "TCK-3", "agent": "dubois"}}, {"tool": "assign", "args": {"ticket_id": "TCK-4", "agent": "tanaka"}}, {"tool": "close_ticket", "args": {"ticket_id": "TCK-4", "resolution": "duplicate of TCK-1"}} ]
truncatedagentic.tools.context-load-v1conf · 797ms · $0.003 · 4000 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 (265 records, format: id|customer|region|item|qty|status):
```
2114|harbor|north|gasket|81|pending
1920|juno|south|cable|37|pending
1774|dorian|west|valve|34|held
1665|cobalt|north|cable|54|shipped
2116|birch|north|sensor|95|held
2243|juno|east|cable|94|pending
1519|dorian|east|frame|82|paid
1642|ember|south|pump|96|shipped
2121|acme|south|sensor|91|pending
1463|harbor|south|panel|59|held
1760|ember|south|valve|55|pending
1595|juno|north|panel|88|held
1809|gale|west|valve|62|held
1803|birch|west|rotor|13|shipped
2363|harbor|east|cable|76|pending
2259|juno|south|gasket|95|held
1762|birch|east|cable|98|pending
2022|harbor|west|cable|82|pending
2230|cobalt|south|frame|95|pending
2338|fulton|east|pump|76|shipped
1850|cobalt|east|frame|60|paid
1740|harbor|south|rotor|82|held
2098|cobalt|west|gasket|27|pending
1857|gale|south|rotor|62|shipped
1563|birch|west|valve|92|paid
1856|dorian|south|frame|82|held
2275|ember|south|valve|20|held
2241|harbor|north|pump|42|paid
1985|juno|south|pump|23|paid
1531|juno|north|valve|98|held
2153|ionic|north|rotor|22|held
2066|acme|west|sensor|66|held
1960|birch|south|frame|10|pending
2150|dorian|west|gasket|11|shipped
1912|dorian|south|gasket|87|held
1511|acme|west|cable|88|pending
1969|juno|east|sensor|30|paid
2428|birch|east|cable|75|held
1859|ember|south|frame|27|paid
2269|harbor|north|rotor|88|paid
1592|ember|north|rotor|99|held
2002|ionic|north|frame|69|pending
1874|gale|east|sensor|84|paid
1638|cobalt|south|rotor|20|held
1721|dorian|south|valve|42|pending
2028|fulton|south|gasket|14|pending
1484|cobalt|west|pump|12|shipped
2056|acme|north|sensor|17|shipped
1491|juno|south|valve|97|held
2218|ember|west|cable|43|shipped
2142|acme|north|frame|13|pending
1567|dorian|south|sensor|46|pending
2157|dorian|west|rotor|56|held
1728|ember|north|pump|62|paid
2245|dorian|east|rotor|65|pending
2075|juno|east|pump|45|shipped
1499|acme|south|pump|81|paid
1847|juno|west|valve|75|pending
1919|birch|north|panel|96|held
2423|cobalt|south|panel|53|held
1429|harbor|east|rotor|47|pending
2009|juno|north|pump|20|paid
2344|juno|south|sensor|53|shipped
2170|acme|south|valve|15|pending
2092|ionic|east|sensor|74|held
1515|dorian|west|sensor|69|pending
2012|birch|north|gasket|12|pending
1826|ionic|east|pump|99|pending
2082|gale|north|valve|13|held
1714|ember|west|panel|27|paid
1486|ionic|west|cable|11|pending
2313|dorian|east|rotor|73|shipped
1590|harbor|south|pump|62|shipped
1862|dorian|north|cable|63|shipped
1797|ionic|east|sensor|13|paid
2339|cobalt|north|pump|78|paid
1583|cobalt|south|frame|86|held
2348|fulton|east|frame|15|shipped
1552|gale|west|gasket|34|shipped
2132|juno|north|panel|89|paid
1772|juno|north|frame|65|shipped
1571|fulton|north|panel|76|pending
2187|juno|west|rotor|38|paid
1932|gale|north|sensor|99|shipped
1419|harbor|east|cable|66|pending
2294|birch|west|frame|38|pending
2018|ember|west|pump|87|held
2367|fulton|east|rotor|28|paid
1441|harbor|south|pump|58|pending
1921|gale|north|rotor|96|shipped
1781|ember|west|frame|54|paid
2097|cobalt|east|pump|83|held
1680|dorian|west|gasket|63|paid
1699|cobalt|south|sensor|61|pending
2413|juno|west|panel|96|shipped
1866|ionic|north|valve|83|shipped
2205|cobalt|south|panel|81|pending
2052|dorian|north|pump|95|pending
1465|harbor|north|cable|69|shipped
1709|cobalt|east|pump|68|pending
2083|ember|south|pump|98|pending
2213|juno|north|cable|27|paid
2317|acme|south|panel|31|held
1526|gale|east|panel|13|held
2403|fulton|north|gasket|10|paid
2126|ionic|north|valve|36|shipped
2026|gale|east|valve|97|paid
2306|dorian|south|sensor|88|pending
1557|dorian|north|pump|47|held
2164|harbor|north|panel|53|held
1928|acme|south|cable|48|pending
1423|harbor|south|sensor|55|paid
1843|juno|north|sensor|94|pending
1902|cobalt|east|rotor|63|shipped
1975|ionic|south|panel|69|pending
2204|fulton|south|gasket|78|shipped
1448|harbor|north|pump|83|pending
1957|dorian|east|rotor|17|paid
2356|cobalt|east|cable|61|paid
1581|fulton|west|sensor|21|held
2340|cobalt|east|rotor|88|pending
2222|gale|north|valve|49|held
2268|gale|south|panel|46|shipped
2180|cobalt|north|pump|82|held
1471|gale|south|frame|72|pending
2287|harbor|east|frame|77|paid
2395|gale|east|panel|79|shipped
1806|harbor|west|panel|16|shipped
1686|dorian|south|sensor|55|shipped
2199|fulton|north|panel|25|shipped
1449|harbor|south|panel|26|shipped
1993|dorian|north|panel|17|paid
2040|gale|south|gasket|58|pending
2300|ember|east|pump|88|pending
2346|dorian|north|gasket|44|paid
2033|juno|west|sensor|30|held
2280|gale|south|rotor|41|pending
2312|dorian|south|valve|94|paid
1982|ionic|east|panel|79|pending
1625|dorian|west|panel|11|shipped
1922|ionic|west|panel|89|shipped
1572|acme|north|valve|87|paid
2076|harbor|west|sensor|59|paid
1436|harbor|south|sensor|86|held
2155|acme|west|panel|44|held
1792|ember|east|valve|44|shipped
2447|birch|west|valve|73|shipped
1815|gale|east|pump|10|shipped
1676|harbor|north|gasket|49|pending
2234|gale|west|sensor|98|shipped
1704|cobalt|north|valve|85|pending
1787|cobalt|south|rotor|55|held
1668|ember|south|gasket|76|held
1649|dorian|west|valve|13|paid
1820|ionic|north|gasket|39|shipped
1858|ember|east|sensor|86|shipped
1692|ionic|west|pump|73|paid
1654|harbor|north|gasket|27|pending
1541|dorian|west|pump|58|held
2330|fulton|north|frame|23|paid
1462|harbor|east|valve|61|pending
1735|fulton|south|rotor|46|pending
1697|acme|west|valve|25|held
2069|acme|north|frame|39|pending
1602|fulton|south|cable|57|held
2416|gale|south|frame|59|paid
1759|dorian|south|panel|54|held
1991|ionic|east|frame|62|shipped
1663|harbor|north|frame|60|held
1966|dorian|north|rotor|50|shipped
1872|ionic|west|gasket|46|held
1949|juno|north|frame|38|paid
1470|birch|south|cable|95|shipped
1997|ionic|west|sensor|51|shipped
1886|cobalt|north|cable|79|shipped
1575|acme|east|pump|78|paid
1546|gale|east|pump|37|held
1696|ionic|east|sensor|91|shipped
1786|cobalt|south|rotor|21|shipped
1632|ember|north|gasket|56|paid
1456|harbor|south|panel|13|pending
1945|juno|south|pump|58|pending
1656|harbor|east|sensor|59|paid
1698|ember|south|sensor|33|pending
1517|birch|east|rotor|49|paid
1509|harbor|west|cable|65|pending
1670|birch|north|cable|47|held
1619|acme|west|pump|81|shipped
2108|juno|south|gasket|81|held
1503|juno|north|cable|19|paid
1608|juno|west|cable|65|paid
2262|dorian|south|rotor|51|paid
1537|fulton|north|gasket|75|shipped
1790|acme|west|sensor|99|shipped
2433|fulton|north|valve|24|shipped
2144|ionic|north|rotor|79|paid
2323|harbor|east|rotor|56|held
2384|juno|south|panel|36|pending
2252|birch|north|pump|44|pending
2137|dorian|south|panel|95|paid
1621|juno|north|frame|83|shipped
1529|ember|west|sensor|95|paid
1879|cobalt|east|gasket|31|paid
1998|gale|east|sensor|11|pending
2062|fulton|south|panel|29|shipped
1897|ionic|north|pump|29|paid
2105|birch|south|valve|52|pending
2274|acme|west|frame|88|paid
2391|ionic|east|rotor|78|shipped
1558|acme|west|panel|41|shipped
2353|acme|west|valve|20|paid
1796|cobalt|west|cable|88|paid
1986|harbor|south|frame|42|held
2095|gale|south|valve|91|paid
1830|cobalt|south|pump|20|paid
1890|gale|east|panel|70|pending
2302|harbor|north|pump|52|pending
2369|harbor|west|rotor|82|held
2200|birch|west|panel|15|shipped
1768|gale|north|rotor|70|held
2372|acme|north|frame|54|held
1629|dorian|west|sensor|49|held
1496|acme|west|gasket|48|held
1588|juno|west|gasket|98|held
1743|ember|north|panel|64|pending
2244|gale|west|frame|50|shipped
1752|juno|south|rotor|22|paid
2171|juno|south|valve|44|held
2190|gale|south|valve|20|shipped
1948|gale|north|rotor|87|pending
2440|fulton|north|panel|54|paid
2378|birch|west|panel|51|held
2223|gale|west|rotor|90|paid
1559|acme|west|gasket|16|shipped
2131|juno|east|gasket|65|shipped
1884|harbor|south|panel|95|pending
2292|harbor|south|frame|22|paid
2224|birch|east|pump|12|shipped
2173|dorian|east|gasket|18|paid
2206|acme|east|pump|23|pending
2400|dorian|south|valve|12|paid
1425|harbor|south|gasket|95|pending
2109|ionic|south|rotor|25|shipped
1566|birch|south|frame|40|shipped
2337|birch|south|sensor|76|shipped
2143|gale|north|frame|51|paid
2408|harbor|north|sensor|11|pending
1956|ember|west|rotor|96|pending
1678|ember|west|frame|47|shipped
1477|harbor|west|panel|35|shipped
1488|dorian|west|valve|31|held
1906|fulton|north|valve|76|paid
1805|juno|east|panel|55|paid
1837|dorian|north|frame|35|paid
2086|birch|west|gasket|32|pending
2046|fulton|west|gasket|95|paid
2135|gale|south|cable|73|held
1749|harbor|west|cable|66|held
1591|ionic|west|cable|53|held
1613|ember|east|sensor|69|paid
1938|dorian|west|gasket|51|shipped
2007|juno|east|rotor|61|paid
1412|harbor|south|valve|10|pending
1579|fulton|south|valve|80|pending
2196|dorian|west|valve|44|shipped
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "harbor" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 51, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: (none extracted)
wrongagentic.tools.context-load-v1conf 100% · 437ms · $0.000 · 117 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 (145 records, format: id|customer|region|item|qty|status):
```
1473|juno|north|sensor|82|held
1853|juno|east|valve|73|pending
1619|ember|east|pump|46|held
1790|fulton|west|frame|43|shipped
1640|birch|south|gasket|30|paid
1390|ember|west|pump|38|pending
1726|ionic|north|gasket|88|paid
1868|ionic|south|panel|94|pending
1501|acme|south|sensor|90|pending
1833|juno|west|valve|39|paid
1539|birch|west|panel|72|pending
1426|birch|north|sensor|57|shipped
1600|acme|north|valve|26|shipped
1369|birch|east|rotor|80|shipped
1773|juno|south|rotor|86|shipped
1329|harbor|south|cable|71|paid
1393|birch|north|rotor|62|held
1732|ionic|east|gasket|63|held
1520|gale|west|pump|66|held
1813|birch|west|cable|21|pending
1653|fulton|north|valve|31|paid
1276|harbor|west|cable|41|paid
1668|acme|south|pump|84|paid
1549|ionic|west|sensor|10|shipped
1456|juno|west|valve|59|shipped
1809|ionic|north|frame|25|pending
1861|acme|east|pump|50|paid
1786|juno|north|gasket|90|paid
1744|ember|north|cable|78|paid
1823|cobalt|west|rotor|91|shipped
1715|ember|west|gasket|52|paid
1626|acme|south|frame|83|paid
1662|dorian|east|frame|92|shipped
1409|juno|west|pump|56|shipped
1374|gale|west|panel|10|pending
1633|birch|west|pump|55|pending
1290|harbor|west|panel|28|paid
1348|ionic|north|valve|30|shipped
1328|ionic|south|panel|34|paid
1465|birch|east|sensor|49|shipped
1708|acme|north|frame|11|pending
1696|gale|north|cable|75|held
1757|ember|north|frame|40|paid
1738|cobalt|north|panel|49|paid
1830|acme|east|sensor|79|paid
1440|ember|west|pump|78|paid
1840|ionic|west|sensor|10|pending
1496|cobalt|west|frame|93|pending
1526|gale|west|gasket|81|pending
1270|harbor|west|sensor|53|pending
1339|ionic|south|valve|27|shipped
1752|dorian|south|pump|34|paid
1872|harbor|north|cable|34|paid
1632|ember|east|pump|66|held
1589|juno|east|valve|18|shipped
1513|fulton|south|panel|76|shipped
1854|juno|north|sensor|44|paid
1452|juno|east|sensor|54|pending
1317|juno|south|cable|89|shipped
1532|cobalt|south|panel|85|held
1742|ember|east|sensor|26|held
1762|cobalt|west|valve|23|paid
1693|cobalt|west|sensor|51|pending
1303|harbor|east|frame|27|pending
1657|juno|east|rotor|96|held
1551|juno|north|rotor|97|paid
1429|birch|west|gasket|55|held
1595|birch|north|frame|12|paid
1858|birch|east|cable|19|shipped
1675|gale|north|frame|77|pending
1460|ionic|south|rotor|32|pending
1566|cobalt|west|rotor|95|paid
1857|fulton|east|cable|69|pending
1280|harbor|west|cable|52|pending
1607|juno|south|sensor|50|shipped
1731|ember|east|frame|50|pending
1753|ember|south|valve|47|shipped
1416|harbor|east|valve|29|held
1822|ember|south|sensor|18|shipped
1546|acme|west|cable|48|held
1702|birch|west|sensor|74|paid
1271|harbor|north|panel|76|pending
1484|dorian|south|gasket|99|pending
1583|fulton|south|rotor|74|pending
1798|harbor|south|valve|46|pending
1660|dorian|south|frame|38|held
1817|acme|north|sensor|14|held
1846|dorian|east|frame|99|shipped
1805|birch|south|pump|73|paid
1719|gale|north|rotor|13|paid
1686|birch|south|rotor|76|pending
1333|ember|west|sensor|16|paid
1862|gale|west|sensor|29|paid
1655|acme|south|panel|38|pending
1785|ember|north|frame|98|shipped
1380|birch|west|rotor|24|pending
1432|juno|north|frame|27|pending
1832|fulton|west|gasket|58|shipped
1576|juno|north|gasket|18|shipped
1665|cobalt|south|valve|73|paid
1647|juno|south|frame|54|paid
1398|ember|south|valve|57|held
1713|birch|east|frame|91|paid
1345|fulton|north|sensor|87|held
1559|fulton|north|rotor|17|held
1360|dorian|east|gasket|20|pending
1613|ionic|east|panel|80|paid
1403|gale|west|rotor|52|shipped
1321|dorian|south|pump|83|pending
1420|juno|east|panel|14|shipped
1367|gale|west|frame|17|paid
1810|ember|north|valve|88|paid
1439|harbor|east|frame|49|pending
1676|dorian|east|sensor|62|shipped
1412|dorian|south|valve|66|shipped
1384|harbor|east|frame|82|held
1477|fulton|north|cable|17|held
1304|harbor|west|rotor|98|shipped
1750|harbor|south|valve|40|shipped
1508|birch|south|pump|57|held
1480|birch|east|cable|47|held
1540|dorian|west|rotor|15|paid
1680|ember|south|cable|12|held
1792|dorian|south|rotor|12|shipped
1552|fulton|west|gasket|38|shipped
1494|birch|west|cable|36|shipped
1690|acme|north|valve|22|paid
1780|acme|north|cable|84|held
1445|ionic|south|frame|23|held
1453|dorian|east|cable|35|pending
1588|harbor|west|valve|98|pending
1285|harbor|south|frame|62|pending
1352|juno|west|valve|26|paid
1466|ember|north|cable|91|pending
1489|fulton|west|pump|78|shipped
1353|gale|south|rotor|88|shipped
1310|dorian|east|valve|97|paid
1297|harbor|west|panel|73|pending
1516|dorian|west|pump|62|held
1767|dorian|west|sensor|38|shipped
1624|ionic|north|gasket|22|paid
1851|ember|west|sensor|95|pending
1569|ionic|south|gasket|83|paid
1407|acme|west|frame|87|paid
1376|juno|east|gasket|23|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "restock", "args": { "item": "cable", "qty": 52 } }, { "tool": "restock", "args": { "item": "valve", "qty": 98 } }, { "tool": "restock", "args": { "item": "panel", "qty": 73 } } ]
correctagentic.tools.deploy-v1conf 100% · 276ms · $0.000 · 102 tok
question
You are a release agent operating strictly through tool calls.

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

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

POLICY:
- Deploy in waves: in each wave, deploy every service whose dependencies are already deployed, in alphabetical order; repeat until all services are deployed.
- The service "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": "billing"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "health_check", "args": {"service": "reports"}} ]
wrongagentic.tools.ledger-v1conf 100% · 233ms · $0.000 · 171 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: $154
- echo: $282
- tango: $895

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $453 from "tango" to "delta"
2. pay $446 from "echo" to "delta"
3. pay $247 from "delta" to "echo"
4. pay $219 from "tango" to "delta"
5. pay $403 from "tango" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 453}}, {"tool": "transfer", "args": {"from": "echo", "to": "delta", "amount": 446}}, {"tool": "transfer", "args": {"from": "delta", "to": "echo", "amount": 247}}, {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 219}}, {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 403}} ]
wrongagentic.tools.triage-v1conf 100% · 200ms · $0.000 · 390 tok
question
You operate a support desk strictly through tool calls.

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

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

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

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "card declined at checkout" (category: payments, priority 3)
3. "dashboard shows stale numbers" (category: data, priority 9)
4. "refund double-charged" (category: payments, priority 3)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 3 } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 3 } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-3" } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "dubois" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "dubois" } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "dubois" } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-2", "resolution": "duplicate of TCK-1" } } ]
wrongagentic.tools.context-load-v1conf 100% · 484ms · $0.001 · 86 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 (177 records, format: id|customer|region|item|qty|status):
```
1640|birch|east|frame|58|paid
1707|birch|south|valve|32|shipped
1048|fulton|north|gasket|64|shipped
1071|ember|south|panel|73|held
1096|birch|west|panel|42|held
1208|birch|west|sensor|14|pending
1320|fulton|north|valve|34|paid
1612|ember|south|sensor|38|shipped
1379|dorian|east|cable|28|paid
1523|juno|north|rotor|14|pending
1454|juno|north|sensor|71|shipped
1274|acme|south|sensor|80|held
1083|gale|south|frame|56|paid
1117|ionic|north|cable|98|held
1576|harbor|west|sensor|41|held
1185|fulton|south|gasket|92|pending
1424|fulton|north|sensor|62|pending
1191|ember|east|panel|59|held
1358|gale|north|rotor|69|pending
1241|acme|west|rotor|67|shipped
1706|ember|north|rotor|10|pending
1343|ember|west|cable|44|pending
1090|harbor|north|valve|91|paid
1594|ember|south|panel|65|paid
1256|ember|west|frame|53|pending
1062|ember|east|rotor|45|held
1634|juno|north|valve|40|pending
1126|birch|south|pump|40|pending
1380|birch|south|sensor|88|shipped
1199|birch|west|cable|52|shipped
1059|cobalt|south|rotor|24|shipped
1630|dorian|south|pump|46|held
1332|gale|north|gasket|53|paid
1171|dorian|south|cable|52|held
1173|ember|east|pump|37|shipped
1668|cobalt|north|gasket|30|paid
1395|dorian|west|gasket|32|paid
1679|juno|west|panel|65|paid
1411|birch|east|pump|76|pending
1422|ionic|east|frame|15|pending
1290|juno|east|sensor|80|held
1042|fulton|south|panel|28|pending
1286|acme|west|panel|91|paid
1517|birch|south|panel|18|held
1504|ember|east|valve|66|pending
1169|ionic|south|valve|63|shipped
1561|harbor|east|gasket|33|held
1164|cobalt|north|sensor|66|paid
1223|juno|north|sensor|86|shipped
1303|ionic|west|sensor|65|held
1104|harbor|west|valve|11|pending
1665|cobalt|east|gasket|71|paid
1390|harbor|south|frame|71|shipped
1367|fulton|east|valve|12|held
1327|gale|east|valve|20|held
1606|acme|east|gasket|67|shipped
1437|dorian|south|sensor|34|pending
1182|ember|east|valve|28|paid
1438|birch|south|gasket|50|pending
1374|gale|north|cable|16|shipped
1672|cobalt|north|rotor|25|held
1539|harbor|south|cable|90|shipped
1111|cobalt|east|frame|83|pending
1400|ionic|south|panel|20|shipped
1230|harbor|west|panel|83|shipped
1502|gale|east|valve|68|held
1360|gale|north|sensor|70|held
1498|ionic|east|pump|81|shipped
1686|gale|south|sensor|25|held
1700|ember|north|sensor|13|paid
1571|juno|east|pump|79|paid
1074|ionic|east|sensor|14|shipped
1406|cobalt|east|sensor|86|pending
1720|acme|north|cable|76|held
1491|acme|west|cable|19|shipped
1569|acme|south|sensor|94|pending
1525|harbor|north|rotor|20|shipped
1226|harbor|north|cable|66|paid
1516|ember|east|gasket|43|held
1722|ember|east|cable|32|shipped
1587|dorian|north|panel|43|pending
1234|gale|west|valve|89|pending
1276|birch|west|rotor|39|held
1193|ionic|south|gasket|55|paid
1483|harbor|south|gasket|17|paid
1486|fulton|north|rotor|78|pending
1386|acme|east|sensor|44|shipped
1600|ionic|east|sensor|84|pending
1655|gale|west|cable|26|pending
1022|fulton|north|panel|48|pending
1719|harbor|north|frame|37|held
1317|ember|west|panel|40|held
1180|fulton|south|panel|42|shipped
1316|juno|south|rotor|63|shipped
1157|fulton|east|panel|73|shipped
1340|cobalt|north|pump|86|pending
1249|dorian|west|gasket|85|shipped
1399|ember|west|panel|87|held
1135|fulton|west|panel|51|paid
1447|dorian|east|pump|46|shipped
1335|harbor|north|frame|87|held
1669|gale|north|gasket|44|pending
1214|gale|west|panel|67|pending
1108|ionic|north|rotor|38|shipped
1470|cobalt|east|gasket|83|shipped
1615|harbor|south|pump|62|shipped
1430|ionic|north|rotor|76|held
1642|gale|west|valve|18|paid
1691|ionic|east|sensor|29|paid
1310|fulton|east|panel|98|shipped
1120|acme|west|panel|24|held
1087|fulton|south|rotor|86|held
1648|ember|north|rotor|12|held
1178|birch|north|pump|98|paid
1143|ember|north|pump|11|pending
1238|cobalt|east|sensor|23|shipped
1211|birch|north|cable|98|shipped
1051|fulton|north|panel|33|pending
1680|ionic|north|sensor|60|pending
1659|acme|west|rotor|75|held
1459|acme|west|pump|61|shipped
1629|ionic|south|cable|62|pending
1350|acme|west|cable|21|shipped
1555|harbor|north|sensor|33|pending
1172|birch|west|panel|40|pending
1312|acme|south|gasket|23|held
1266|harbor|west|frame|70|held
1296|acme|east|valve|69|shipped
1725|birch|north|panel|23|shipped
1476|gale|west|gasket|99|held
1281|ember|west|valve|77|shipped
1566|harbor|south|frame|71|shipped
1029|fulton|west|pump|93|pending
1697|cobalt|south|valve|60|paid
1149|fulton|north|pump|37|pending
1510|gale|east|panel|11|paid
1602|fulton|east|cable|46|shipped
1455|harbor|north|cable|65|paid
1558|ember|east|panel|92|paid
1036|fulton|north|valve|46|held
1221|ember|east|frame|15|held
1184|harbor|west|valve|74|pending
1352|gale|west|cable|62|held
1409|acme|west|cable|38|pending
1102|juno|south|frame|71|paid
1268|acme|east|panel|58|held
1465|harbor|west|sensor|92|paid
1055|fulton|south|sensor|40|pending
1619|acme|west|panel|39|pending
1146|ember|south|cable|34|pending
1404|gale|east|pump|75|shipped
1644|gale|south|valve|75|paid
1128|fulton|north|frame|27|shipped
1069|acme|east|sensor|43|shipped
1547|fulton|east|frame|14|shipped
1713|fulton|east|rotor|74|held
1323|ember|east|gasket|92|pending
1608|fulton|north|rotor|80|held
1245|birch|south|sensor|81|pending
1078|acme|south|pump|70|shipped
1141|birch|east|cable|89|shipped
1626|ionic|north|rotor|26|paid
1532|harbor|west|valve|47|paid
1421|acme|west|rotor|57|paid
1040|fulton|north|frame|40|pending
1288|birch|west|pump|26|shipped
1415|ionic|west|pump|31|shipped
1551|ionic|north|gasket|77|held
1263|harbor|west|valve|11|paid
1443|ember|west|gasket|19|paid
1151|fulton|east|frame|20|held
1115|ionic|west|pump|83|pending
1058|fulton|north|gasket|41|held
1541|cobalt|east|valve|56|held
1582|cobalt|west|valve|23|paid
1203|ionic|west|valve|65|shipped
1124|birch|east|valve|11|shipped
```

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "restock", "args": { "item": "rotor", "qty": 78 } }, { "tool": "restock", "args": { "item": "rotor", "qty": 80 } } ]
correctagentic.tools.deploy-v1conf 100% · 239ms · $0.000 · 102 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "search"}}, {"tool": "health_check", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "billing"}} ]
wrongagentic.tools.ledger-v1conf 100% · 251ms · $0.000 · 175 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $417
- kilo: $632
- delta: $447

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $355 from "kilo" to "tango"
2. pay $579 from "kilo" to "delta"
3. pay $532 from "kilo" to "delta"
4. pay $125 from "tango" to "kilo"
5. pay $216 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: [ {"tool": "transfer", "args": {"from": "kilo", "to": "tango", "amount": 355}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 579}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 532}}, {"tool": "transfer", "args": {"from": "tango", "to": "kilo", "amount": 125}}, {"tool": "transfer", "args": {"from": "kilo", "to": "delta", "amount": 216}} ]
wrongagentic.tools.triage-v1conf 100% · 207ms · $0.000 · 315 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 → chen
- auth → novak
- payments → silva

INCIDENTS:
1. "export file corrupted" (category: data, priority 8)
2. "locked out after 2FA change" (category: auth, priority 4)
3. "locked out after 2FA change" (category: auth, priority 4)
4. "dashboard shows stale numbers" (category: data, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "export file corrupted", "priority": 8 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "chen" } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 4 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "chen" } } ]
wrongagentic.tools.context-load-v1conf 100% · 432ms · $0.001 · 186 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 (153 records, format: id|customer|region|item|qty|status):
```
1492|harbor|east|pump|79|shipped
1650|ember|east|sensor|42|pending
1644|juno|west|rotor|46|paid
1542|acme|east|rotor|67|held
1837|birch|south|sensor|37|shipped
1227|dorian|east|sensor|88|pending
1491|juno|south|pump|75|paid
1313|cobalt|south|valve|91|pending
1424|ember|east|valve|99|shipped
1653|harbor|east|pump|99|pending
1381|gale|north|pump|38|pending
1367|acme|west|sensor|93|shipped
1333|juno|south|gasket|95|pending
1608|cobalt|east|frame|96|held
1681|juno|east|gasket|62|paid
1495|acme|south|valve|54|pending
1690|birch|east|frame|19|paid
1549|ember|west|gasket|98|paid
1772|fulton|north|cable|93|pending
1389|ember|south|rotor|28|shipped
1722|fulton|north|cable|61|held
1771|dorian|east|valve|61|shipped
1250|dorian|south|panel|31|pending
1279|fulton|north|gasket|49|paid
1710|gale|north|frame|49|held
1465|harbor|north|cable|84|paid
1764|dorian|west|valve|89|pending
1344|acme|west|sensor|17|held
1239|ember|north|gasket|69|pending
1559|ember|east|panel|73|held
1196|dorian|south|cable|49|pending
1566|ionic|north|pump|29|held
1405|juno|west|frame|15|shipped
1519|gale|north|cable|54|held
1205|dorian|south|rotor|99|shipped
1601|fulton|west|valve|33|held
1314|dorian|north|sensor|13|shipped
1444|dorian|north|frame|92|pending
1564|ember|east|rotor|49|paid
1235|acme|west|panel|90|paid
1822|fulton|north|rotor|35|paid
1694|ionic|north|frame|96|held
1540|cobalt|south|gasket|37|shipped
1589|harbor|north|pump|44|held
1808|ionic|north|gasket|21|shipped
1474|harbor|west|sensor|73|shipped
1225|dorian|south|panel|32|pending
1784|birch|south|gasket|77|shipped
1707|harbor|west|rotor|99|paid
1245|juno|north|pump|30|pending
1356|harbor|east|panel|16|pending
1430|acme|north|sensor|65|held
1452|cobalt|west|cable|97|shipped
1703|ember|north|valve|32|shipped
1241|harbor|east|frame|64|shipped
1486|harbor|south|sensor|13|pending
1467|ionic|east|frame|72|held
1512|cobalt|south|rotor|43|held
1573|ionic|east|rotor|34|shipped
1779|acme|south|rotor|23|held
1751|gale|east|cable|59|shipped
1433|acme|west|panel|35|held
1318|acme|south|rotor|47|held
1585|dorian|south|cable|19|held
1676|juno|east|rotor|64|held
1518|fulton|east|cable|18|held
1600|harbor|south|frame|29|held
1638|fulton|east|valve|23|held
1418|ionic|north|gasket|71|held
1530|acme|west|gasket|30|held
1728|dorian|west|pump|39|pending
1285|ember|west|cable|18|paid
1696|acme|west|valve|79|held
1661|ionic|east|panel|36|shipped
1339|harbor|east|frame|71|pending
1350|harbor|east|cable|18|pending
1829|cobalt|north|rotor|33|paid
1481|juno|east|sensor|35|paid
1796|harbor|south|panel|18|shipped
1211|dorian|south|cable|62|pending
1572|ionic|south|rotor|42|paid
1365|juno|north|cable|14|held
1575|gale|west|pump|66|pending
1329|harbor|west|gasket|55|held
1699|acme|east|rotor|80|shipped
1626|dorian|west|cable|40|pending
1621|ionic|north|valve|42|held
1358|acme|south|gasket|48|paid
1294|ionic|north|pump|43|shipped
1693|ember|east|frame|57|paid
1670|juno|south|gasket|11|pending
1458|dorian|south|rotor|51|pending
1487|dorian|west|sensor|98|shipped
1335|fulton|north|valve|79|pending
1791|gale|west|valve|80|paid
1257|gale|east|rotor|99|held
1752|gale|west|panel|41|paid
1806|fulton|west|sensor|13|held
1352|gale|south|valve|51|paid
1580|ionic|north|frame|70|shipped
1374|juno|east|rotor|65|paid
1259|fulton|west|pump|69|shipped
1766|cobalt|west|valve|22|paid
1668|acme|east|panel|99|paid
1678|dorian|west|valve|52|held
1593|dorian|south|panel|68|pending
1691|gale|west|gasket|60|shipped
1717|cobalt|west|rotor|92|paid
1201|dorian|west|cable|75|pending
1815|ionic|west|panel|86|held
1307|cobalt|north|valve|92|shipped
1290|ember|north|rotor|98|held
1615|harbor|west|sensor|85|paid
1438|birch|south|frame|12|paid
1273|harbor|north|cable|31|pending
1262|fulton|north|panel|25|pending
1734|ionic|west|pump|90|paid
1265|birch|north|valve|36|held
1271|gale|west|frame|35|pending
1799|fulton|south|pump|73|paid
1716|acme|south|valve|54|shipped
1669|fulton|south|rotor|16|pending
1724|ionic|north|rotor|51|pending
1741|birch|south|rotor|74|shipped
1400|harbor|south|gasket|54|shipped
1310|harbor|east|pump|87|paid
1833|ionic|west|pump|93|held
1605|fulton|west|valve|51|shipped
1386|ember|north|frame|37|pending
1324|gale|south|gasket|62|pending
1708|ember|north|pump|67|pending
1426|juno|north|frame|71|pending
1745|ionic|south|rotor|92|held
1223|dorian|south|rotor|99|paid
1500|ionic|north|pump|51|shipped
1396|juno|east|pump|44|shipped
1687|acme|west|panel|52|paid
1505|harbor|north|rotor|38|shipped
1820|gale|west|rotor|21|shipped
1232|dorian|south|sensor|64|shipped
1658|fulton|north|valve|75|shipped
1447|acme|east|cable|10|held
1534|ember|south|sensor|22|shipped
1216|dorian|east|gasket|54|pending
1554|acme|east|pump|59|held
1412|harbor|south|sensor|27|held
1300|ionic|north|rotor|41|pending
1524|cobalt|east|cable|35|pending
1551|harbor|north|frame|66|shipped
1410|birch|south|rotor|88|pending
1632|cobalt|north|gasket|99|held
1258|birch|east|panel|95|shipped
1758|cobalt|east|gasket|25|pending
```

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 > 49, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "restock", "args": { "item": "cable", "qty": 49 } }, { "tool": "restock", "args": { "item": "rotor", "qty": 51 } }, { "tool": "restock", "args": { "item": "rotor", "qty": 51" } }, { "tool": "restock", "args": { "item": "panel", "qty": 68 } }, { "tool": "restock", "args": { "item": "cable", "qty": 62 } } ]
truncatedagentic.tools.context-load-v1anchorconf · 544ms · $0.003 · 4000 tok
model answer: (none extracted)
correctagentic.tools.deploy-v1conf 100% · 205ms · $0.000 · 100 tok
question
You are a release agent operating strictly through tool calls.

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

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

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "search"}} ]
wrongagentic.tools.ledger-v1conf 100% · 381ms · $0.000 · 167 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- lima: $513
- echo: $349
- alpha: $762

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $505 from "lima" to "echo"
2. pay $386 from "lima" to "alpha"
3. pay $549 from "echo" to "lima"
4. pay $97 from "alpha" to "lima"
5. pay $588 from "echo" to "lima"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "lima", "to": "echo", "amount": 505}}, {"tool": "transfer", "args": {"from": "lima", "to": "alpha", "amount": 386}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 549}}, {"tool": "transfer", "args": {"from": "alpha", "to": "lima", "amount": 97}}, {"tool": "transfer", "args": {"from": "echo", "to": "lima", "amount": 588}} ]
wrongagentic.tools.triage-v1conf 100% · 224ms · $0.000 · 249 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
- data → silva
- auth → chen

INCIDENTS:
1. "card declined at checkout" (category: payments, priority 3)
2. "card declined at checkout" (category: payments, priority 3)
3. "locked out after 2FA change" (category: auth, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 3 } }, { "tool": "create_ticket", "args": { "title": "card declined at checkout", "priority": 3 } }, { "tool": "create_ticket", "args": { "title": "locked out after 2FA change", "priority": 2 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-1", "resolution": "duplicate of TCK-2" } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "chen" } } ]
wrongagentic.tools.deploy-v1conf 100% · 242ms · $0.000 · 104 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: reports
- search: reports
- reports: (none)
- 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 "auth-svc" is flagged unstable: call health_check on it immediately after deploying it.
- Call nothing else.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "reports"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}} ]
wrongagentic.tools.ledger-v1conf 100% · 209ms · $0.000 · 140 tok
question
You are a treasury agent operating strictly through tool calls.

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

OPENING BALANCES:
- tango: $652
- lima: $435
- delta: $348

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $505 from "delta" to "tango"
2. pay $310 from "lima" to "delta"
3. pay $235 from "tango" to "delta"
4. pay $266 from "lima" to "delta"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 505}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 310}}, {"tool": "transfer", "args": {"from": "tango", "to": "delta", "amount": 235}}, {"tool": "transfer", "args": {"from": "lima", "to": "delta", "amount": 266}} ]
wrongagentic.tools.triage-v1conf 100% · 285ms · $0.000 · 351 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 → haddad
- payments → dubois
- infra → silva

INCIDENTS:
1. "SSO loop on login" (category: auth, priority 3)
2. "invoice total wrong" (category: payments, priority 4)
3. "invoice total wrong" (category: payments, priority 4)
4. "SSO loop on login" (category: auth, priority 4)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "SSO loop on login", "priority": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "haddad" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 4 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "dubois" } }, { "tool": "create_ticket", "args": { "title": "invoice total wrong", "priority": 4 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }, { "tool": "create_ticket", "args": { "title": "SSO loop on login", "priority": 4 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-4" } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "haddad" } } ]
wrongagentic.tools.context-load-v1conf 100% · 902ms · $0.001 · 302 tok
question
You are an order-operations agent working strictly through tool calls.

TOOL CATALOG:
- restock(item: string, qty: int) — reorders stock for a large pending order
- cancel_order(order_id: int) — cancels a small pending order
- ship_order(order_id: int) — ships a paid order (out of scope here)
- refund(order_id: int, amount: int) — refunds a customer (out of scope here)
- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)

ORDER LEDGER (294 records, format: id|customer|region|item|qty|status):
```
2316|fulton|west|pump|95|held
1532|fulton|east|panel|74|held
1546|fulton|north|rotor|95|pending
1726|juno|west|frame|82|shipped
2212|harbor|east|sensor|15|held
1893|ember|east|sensor|57|held
1783|cobalt|east|rotor|87|shipped
1430|juno|north|gasket|73|pending
1586|acme|west|rotor|82|shipped
2152|harbor|west|frame|86|pending
2053|gale|south|cable|53|shipped
2407|ionic|south|sensor|98|held
1582|gale|west|pump|24|paid
1333|fulton|east|rotor|34|shipped
1928|gale|east|sensor|73|held
1434|cobalt|west|valve|31|paid
1396|ember|east|gasket|28|pending
2320|ember|south|rotor|14|pending
1527|acme|south|cable|20|pending
2219|acme|east|frame|64|shipped
1578|birch|north|cable|82|held
1702|cobalt|east|rotor|39|pending
2088|harbor|north|cable|18|held
1720|gale|south|cable|19|paid
1379|dorian|south|valve|51|paid
1632|birch|north|sensor|59|paid
1903|ember|south|rotor|37|pending
1356|acme|north|valve|94|pending
2123|fulton|east|rotor|29|shipped
2170|ember|south|gasket|89|pending
1864|juno|east|frame|75|held
1386|acme|south|frame|55|shipped
2110|fulton|west|pump|70|paid
1310|acme|west|cable|68|pending
1652|birch|north|gasket|81|held
1329|acme|north|valve|31|pending
2429|birch|north|panel|13|paid
1412|ember|south|valve|35|paid
1950|ember|east|cable|13|paid
1610|fulton|south|frame|56|held
1709|ionic|east|cable|63|pending
1616|ember|north|panel|26|shipped
1945|ionic|west|valve|80|pending
2070|ionic|east|sensor|57|shipped
1823|gale|south|sensor|75|held
1481|juno|east|rotor|31|shipped
2393|birch|north|panel|89|pending
2076|gale|north|valve|74|shipped
1927|harbor|south|frame|87|held
2001|juno|south|sensor|12|shipped
1939|juno|south|cable|89|shipped
1592|cobalt|north|frame|60|pending
2138|ember|south|valve|99|shipped
1603|harbor|west|valve|21|shipped
2383|harbor|east|sensor|59|paid
1402|birch|north|pump|31|paid
2307|harbor|south|frame|32|paid
2192|birch|west|pump|99|pending
2031|harbor|north|sensor|88|held
1843|birch|east|rotor|60|shipped
2241|ionic|east|sensor|65|held
2330|dorian|north|frame|97|pending
1737|gale|north|frame|54|paid
1567|gale|north|cable|80|pending
1710|cobalt|west|sensor|30|pending
1627|birch|east|panel|12|shipped
1637|dorian|east|cable|35|pending
2390|ember|west|rotor|73|shipped
2311|gale|north|valve|56|paid
2050|birch|east|pump|94|held
2375|dorian|west|gasket|86|pending
1572|cobalt|north|valve|49|held
1349|gale|north|gasket|17|pending
2202|dorian|south|gasket|14|held
1870|fulton|south|rotor|58|pending
2161|acme|south|valve|12|held
2259|cobalt|west|sensor|64|held
2362|fulton|west|gasket|92|pending
2400|gale|west|gasket|15|paid
1369|birch|south|frame|13|paid
1844|fulton|south|sensor|42|shipped
1777|birch|west|panel|93|shipped
1695|dorian|west|gasket|15|held
1752|juno|south|pump|43|pending
1473|fulton|north|cable|63|pending
2382|juno|south|valve|46|held
1741|ember|north|frame|56|pending
1993|birch|east|panel|74|held
2224|dorian|north|rotor|14|pending
2114|birch|west|frame|26|held
1601|fulton|east|frame|52|pending
1459|ionic|south|gasket|97|shipped
2151|dorian|north|pump|55|held
2248|gale|east|sensor|34|held
2342|fulton|south|frame|42|paid
2011|gale|west|gasket|49|held
1583|ionic|west|rotor|32|held
1590|birch|south|cable|12|paid
1724|juno|west|rotor|18|shipped
1422|juno|west|cable|20|paid
1617|gale|east|gasket|15|shipped
2271|ember|south|gasket|15|held
1812|birch|east|gasket|85|pending
1512|harbor|south|frame|92|held
2158|harbor|south|gasket|57|shipped
2319|cobalt|south|pump|75|shipped
1684|ember|east|rotor|89|paid
1375|gale|west|sensor|34|shipped
1760|ember|north|cable|27|shipped
2097|harbor|west|panel|69|paid
2104|fulton|east|cable|46|paid
2145|harbor|west|gasket|69|paid
2297|dorian|east|panel|21|paid
1700|dorian|north|sensor|18|pending
1274|acme|south|pump|73|pending
1596|gale|west|cable|41|held
1830|ember|west|frame|95|shipped
1299|acme|south|valve|66|pending
2141|cobalt|east|rotor|13|shipped
2137|acme|west|panel|27|paid
2175|fulton|south|rotor|24|shipped
1588|birch|north|frame|68|pending
2346|dorian|south|sensor|80|paid
1467|fulton|east|rotor|18|held
1295|acme|west|frame|62|pending
2208|ionic|south|panel|59|shipped
1772|birch|south|valve|40|paid
1962|birch|south|valve|56|paid
1561|ionic|east|sensor|18|paid
2092|cobalt|west|gasket|89|paid
1593|fulton|south|rotor|83|held
1289|acme|south|cable|74|pending
2197|juno|west|frame|27|shipped
2325|acme|east|sensor|55|held
2146|ionic|east|cable|49|paid
1678|acme|south|cable|73|pending
1353|birch|south|gasket|40|held
1683|acme|west|valve|80|paid
2410|cobalt|west|pump|38|paid
2423|dorian|south|rotor|18|paid
2228|cobalt|south|sensor|60|held
1555|gale|east|rotor|34|held
1440|ionic|west|frame|76|pending
1909|dorian|west|pump|55|paid
2000|ionic|west|cable|46|paid
1484|acme|north|rotor|77|shipped
1682|dorian|east|pump|24|pending
1791|dorian|west|gasket|31|shipped
1907|juno|north|panel|18|paid
1281|acme|north|cable|72|pending
2124|dorian|east|cable|26|pending
1657|fulton|north|cable|58|pending
1515|acme|east|cable|96|paid
2281|birch|north|panel|94|paid
1994|juno|north|gasket|34|shipped
1423|gale|west|cable|32|pending
1332|acme|south|valve|20|held
2139|dorian|east|gasket|30|paid
2164|fulton|north|gasket|70|held
1876|acme|west|rotor|41|pending
1732|juno|south|valve|53|held
1883|dorian|north|pump|69|shipped
2060|harbor|west|panel|73|shipped
2294|fulton|north|frame|17|paid
1835|cobalt|south|pump|87|paid
2065|gale|south|valve|53|paid
1781|gale|north|panel|76|paid
2417|ember|east|gasket|91|paid
2125|harbor|east|rotor|63|paid
1798|birch|west|frame|86|pending
1361|cobalt|south|panel|41|pending
2182|dorian|north|cable|38|paid
2315|harbor|north|cable|19|held
2389|birch|west|valve|29|paid
1748|gale|east|panel|16|paid
1966|dorian|east|frame|68|pending
1302|acme|north|cable|75|pending
2287|harbor|north|gasket|62|shipped
2119|ember|north|panel|35|pending
1598|acme|west|rotor|93|held
1765|ionic|west|cable|95|pending
1649|birch|west|frame|67|pending
1521|fulton|south|panel|48|paid
2245|harbor|east|rotor|14|paid
1816|fulton|west|pump|12|pending
1951|harbor|south|panel|68|pending
1534|ember|east|panel|89|paid
1671|ionic|west|gasket|93|paid
1303|acme|south|pump|82|shipped
1918|juno|north|gasket|15|paid
2373|fulton|west|cable|61|shipped
1509|cobalt|west|sensor|13|held
2235|dorian|east|sensor|23|pending
2434|fulton|west|rotor|83|held
1447|birch|north|panel|81|paid
1837|harbor|south|cable|75|paid
2304|birch|east|sensor|96|pending
1341|dorian|north|valve|63|held
1715|birch|south|cable|52|held
2082|fulton|south|pump|16|held
1323|acme|south|rotor|87|pending
1625|ionic|south|frame|77|held
1494|dorian|north|pump|51|paid
2367|cobalt|south|pump|38|held
1485|ember|east|panel|68|paid
2131|ember|west|frame|48|pending
2037|gale|east|frame|63|paid
2254|ember|south|gasket|90|paid
2112|fulton|south|frame|12|pending
1972|juno|east|pump|82|shipped
1420|harbor|north|panel|63|held
1287|acme|south|pump|61|paid
1934|harbor|west|cable|11|shipped
2272|dorian|north|sensor|67|pending
2184|birch|south|valve|88|paid
1888|birch|west|pump|96|held
1317|acme|south|frame|22|held
2016|harbor|south|valve|36|paid
2133|ember|south|cable|23|pending
1298|acme|south|pump|37|shipped
2370|acme|west|valve|18|held
1805|birch|south|valve|97|shipped
1853|acme|north|sensor|61|held
1628|harbor|south|rotor|69|shipped
1504|dorian|north|panel|68|pending
2355|birch|north|rotor|91|held
2361|acme|east|pump|17|shipped
1958|fulton|south|frame|95|paid
1426|ember|south|cable|14|paid
2045|acme|west|sensor|28|shipped
2282|ember|south|pump|16|shipped
1664|harbor|north|panel|68|held
1848|birch|south|pump|64|held
1491|juno|west|valve|30|paid
1900|juno|north|gasket|58|held
2299|acme|east|panel|53|paid
1896|cobalt|west|pump|40|shipped
1690|acme|north|pump|35|shipped
1476|cobalt|north|sensor|83|held
1339|harbor|north|gasket|61|held
1642|birch|north|valve|70|shipped
1757|ember|west|gasket|53|shipped
1988|cobalt|west|panel|89|held
1470|fulton|east|panel|27|shipped
2403|fulton|south|cable|41|paid
1979|ionic|north|cable|93|pending
2043|fulton|south|rotor|65|held
2266|ionic|east|frame|38|pending
2278|juno|north|pump|43|held
1550|ember|north|gasket|78|held
2351|fulton|south|gasket|96|paid
2433|ember|south|sensor|25|shipped
2336|harbor|west|gasket|38|paid
1999|cobalt|north|rotor|35|shipped
1814|juno|east|cable|42|paid
1986|harbor|north|frame|30|held
2261|acme|north|frame|52|held
1957|gale|north|pump|88|pending
2186|fulton|west|panel|84|pending
1622|fulton|west|frame|60|held
2009|juno|north|pump|42|pending
1654|harbor|east|cable|35|held
2338|ionic|south|sensor|18|shipped
2425|cobalt|north|frame|62|shipped
1815|gale|north|pump|59|held
1414|ionic|south|pump|49|shipped
1343|ember|south|pump|60|held
2005|ionic|east|valve|39|shipped
1911|acme|west|pump|58|shipped
2117|fulton|north|gasket|36|paid
1306|acme|south|sensor|76|pending
1549|fulton|south|panel|67|held
1924|ionic|west|rotor|52|held
1366|harbor|east|pump|16|shipped
1858|ember|east|pump|57|held
1393|birch|south|rotor|52|paid
1850|fulton|west|cable|73|held
1465|harbor|east|pump|65|pending
1428|acme|south|frame|84|pending
1539|birch|east|gasket|58|paid
2021|dorian|north|panel|11|held
1538|ember|west|frame|79|held
1916|juno|north|rotor|28|paid
1452|juno|east|rotor|75|held
2258|acme|north|cable|23|paid
1517|gale|north|valve|89|held
2302|acme|south|gasket|44|held
1497|ember|west|panel|72|pending
2024|harbor|north|gasket|36|held
2180|gale|north|cable|15|shipped
1409|harbor|south|pump|81|pending
1787|fulton|east|frame|95|shipped
2414|fulton|west|pump|83|pending
2048|juno|west|rotor|39|pending
```

POLICY (apply exactly):
- Consider ONLY orders where customer = "acme" AND region = "south" AND status = "pending".
- Process those orders in ASCENDING order id.
- For each: if qty > 66, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).
- Call nothing else. Every other record is irrelevant no matter how similar it looks.

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "restock", "args": { "item": "cable", "qty": 96 } }, { "tool": "restock", "args": { "item": "valve", "qty": 66" } }, { "tool": "cancel_order", "args": { "order_id": 1299 } }, { "tool": "cancel_order", "args": { "order_id": 1323 } }, { "tool": "cancel_order", "args": { "order_id": 1333 } }, { "tool": "cancel_order", "args": { "order_id": 1671 } }, { "tool": "cancel_order", "args": { "order_id": 1764 } }, { "tool": "cancel_order", "args": { "order_id": 2235 } }, { "tool": "cancel_order", "args": { "order_id": 2361 } } ]
wrongagentic.tools.deploy-v1conf 100% · 534ms · $0.000 · 104 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, gateway
- gateway: (none)
- reports: auth-svc, gateway
- auth-svc: gateway

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "health_check", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "search"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
wrongagentic.tools.ledger-v1conf 100% · 238ms · $0.000 · 143 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: $286
- alpha: $548
- bravo: $677

PAYMENT INSTRUCTIONS (execute in exactly this order):
1. pay $535 from "kilo" to "alpha"
2. pay $442 from "kilo" to "alpha"
3. pay $546 from "kilo" to "alpha"
4. pay $143 from "kilo" to "bravo"

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 535}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 442}}, {"tool": "transfer", "args": {"from": "kilo", "to": "alpha", "amount": 546}}, {"tool": "transfer", "args": {"from": "kilo", "to": "bravo", "amount": 143}} ]
correctagentic.tools.triage-v1conf 100% · 251ms · $0.000 · 320 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:
- infra → silva
- data → okafor
- auth → haddad

INCIDENTS:
1. "webhooks not delivered" (category: infra, priority 3)
2. "dashboard shows stale numbers" (category: data, priority 6)
3. "dashboard shows stale numbers" (category: data, priority 6)
4. "API latency spikes" (category: infra, priority 2)

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: [ { "tool": "create_ticket", "args": { "title": "webhooks not delivered", "priority": 3 } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "silva" } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 6 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "okafor" } }, { "tool": "create_ticket", "args": { "title": "dashboard shows stale numbers", "priority": 6 } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-3", "resolution": "duplicate of TCK-2" } }, { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-4", "agent": "silva" } } ]
wrongagentic.tools.triage-v1anchorconf 100% · 219ms · $0.000 · 315 tok
model answer: [ { "tool": "create_ticket", "args": { "title": "API latency spikes", "priority": 9 } }, { "tool": "escalate", "args": { "ticket_id": "TCK-1" } }, { "tool": "assign", "args": { "ticket_id": "TCK-1", "agent": "tanaka" } }, { "tool": "create_ticket", "args": { "title": "records missing after import", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-2", "agent": "novak" } }, { "tool": "create_ticket", "args": { "title": "refund double-charged", "priority": 2 } }, { "tool": "assign", "args": { "ticket_id": "TCK-3", "agent": "okafor" } }, { "tool": "close_ticket", "args": { "ticket_id": "TCK-4", "resolution": "duplicate of TCK-1" } } ]
correctagentic.tools.deploy-v1anchorconf 100% · 229ms · $0.000 · 102 tok
model answer: [ {"tool": "deploy", "args": {"service": "notifier"}}, {"tool": "deploy", "args": {"service": "auth-svc"}}, {"tool": "deploy", "args": {"service": "gateway"}}, {"tool": "health_check", "args": {"service": "gateway"}}, {"tool": "deploy", "args": {"service": "reports"}} ]
wrongagentic.tools.ledger-v1anchorconf 100% · 236ms · $0.000 · 203 tok
model answer: [ {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 451}}, {"tool": "transfer", "args": {"from": "bravo", "to": "delta", "amount": 292}}, {"tool": "transfer", "args": {"from": "delta", "to": "tango", "amount": 97}}, {"tool": "top_up_from_reserve", "args": {"account": "delta", "amount": 153}}, {"tool": "transfer", "args": {"from": "delta", "to": "bravo", "amount": 540}}, {"tool": "transfer", "args": {"from": "tango", "to": "bravo", "amount": 125}} ]
code 3/30 correct
wrongcode.trace.js-v1conf 100% · 219ms · $0.000 · 332 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12];
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: 345
wrongcode.trace.nested-v1conf 100% · 186ms · $0.000 · 194 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 8):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 2 == 0:
            continue
        total += i * 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: 102
wrongcode.trace.js-v1conf 100% · 251ms · $0.000 · 180 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15];
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: 174
wrongcode.trace.python-v1conf 100% · 184ms · $0.000 · 245 tok
question
What does this Python program print?

```python
total = 0
v = 7
while total + v <= 56:
    if v % 4 != 0:
        total += v
    v += 6
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 51
wrongcode.trace.nested-v1conf 100% · 179ms · $0.000 · 168 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 5):
    for j in range(1, 6):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 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: 30
wrongcode.trace.python-v1conf 100% · 215ms · $0.000 · 148 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 7
while total + v <= 99:
    if v % 4 != 0:
        total += v
    v += 2
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 100
wrongcode.trace.nested-v1conf 100% · 181ms · $0.000 · 170 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, 5):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 5 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 100
wrongcode.trace.js-v1conf 100% · 207ms · $0.000 · 27 tok
question
What does this JavaScript program log?

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

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
correctcode.trace.python-v1conf 100% · 187ms · $0.000 · 250 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 40:
    if v % 6 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 36
wrongcode.trace.js-v1conf 100% · 241ms · $0.000 · 272 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 72
wrongcode.trace.python-v1conf 100% · 300ms · $0.000 · 296 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 5
while total + v <= 48:
    if v % 6 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 45
wrongcode.trace.python-v1conf 100% · 261ms · $0.000 · 438 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 8
while total + v <= 90:
    if v % 5 != 0:
        total += v
    v += 3
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 50
wrongcode.trace.nested-v1conf 100% · 568ms · $0.000 · 158 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) % 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: 100
wrongcode.trace.js-v1conf 100% · 200ms · $0.000 · 119 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [8, 9, 10, 11, 12, 13, 14];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 90
wrongcode.trace.nested-v1conf 100% · 216ms · $0.000 · 177 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 6 and i % 2 == 0:
            break
        if (i + j) % 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: 135
correctcode.trace.python-v1conf 100% · 194ms · $0.000 · 556 tok
question
Trace the following Python code and give its exact output.

```python
total = 0
v = 6
while total + v <= 84:
    if v % 3 != 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: 72
wrongcode.trace.nested-v1conf 100% · 171ms · $0.000 · 794 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 6):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 100
correctcode.trace.js-v1conf 100% · 192ms · $0.000 · 238 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [6, 7, 8, 9, 10, 11, 12, 13];
const out = arr
  .map(n => n * 6)
  .filter(n => n % 4 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 216
wrongcode.trace.js-v1conf 100% · 171ms · $0.000 · 100 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 3)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 108
wrongcode.trace.python-v1conf 100% · 174ms · $0.000 · 445 tok
question
What does this Python program print?

```python
total = 0
v = 11
while total + v <= 73:
    if v % 3 != 0:
        total += v
    v += 8
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 98
wrongcode.trace.nested-v1conf 100% · 269ms · $0.000 · 171 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 6):
    for j in range(1, 7):
        if j == 4 and i % 2 == 0:
            break
        if (i + j) % 4 == 0:
            continue
        total += i * 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: 100
wrongcode.trace.nested-v1conf 100% · 213ms · $0.000 · 197 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 8):
    for j in range(1, 7):
        if j == 5 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 3 + j
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 102
wrongcode.trace.js-v1conf 100% · 201ms · $0.000 · 29 tok
question
What does this JavaScript program log?

```js
const arr = [10, 11, 12, 13, 14, 15];
const out = arr
  .map(n => n * 5)
  .filter(n => n % 2 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 110
wrongcode.trace.js-v1conf 100% · 178ms · $0.000 · 343 tok
question
Evaluate the following JavaScript. What number is logged to the console?

```js
const arr = [7, 8, 9, 10, 11, 12, 13, 14, 15, 16];
const out = arr
  .map(n => n * 7)
  .filter(n => n % 5 === 0)
  .reduce((a, b) => a + b, 0);
console.log(out);
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 569
wrongcode.trace.python-v1conf 100% · 200ms · $0.000 · 190 tok
question
Execute this Python snippet mentally. What is printed?

```python
total = 0
v = 14
while total + v <= 73:
    if v % 7 != 0:
        total += v
    v += 4
print(total)
```

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 69
wrongcode.trace.python-v1anchorconf 100% · 191ms · $0.000 · 430 tok
model answer: 120
wrongcode.trace.js-v1anchorconf 100% · 217ms · $0.000 · 306 tok
model answer: 112
wrongcode.trace.nested-v1conf 100% · 217ms · $0.000 · 175 tok
question
Trace this Python program exactly. What does it print?

```python
total = 0
for i in range(1, 7):
    for j in range(1, 8):
        if j == 3 and i % 2 == 0:
            break
        if (i + j) % 3 == 0:
            continue
        total += i * 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: 102
wrongcode.trace.nested-v1anchorconf 100% · 211ms · $0.000 · 169 tok
model answer: 105
wrongcode.trace.python-v1anchorconf 100% · 186ms · $0.000 · 175 tok
model answer: 56
instruction following 12/30 correct
correctif.format.repeat-v1conf 100% · 270ms · $0.000 · 48 tok
question
Write the word "drift" in uppercase form, repeated exactly 6 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: DRIFT/DRIFT/DRIFT/DRIFT/DRIFT/DRIFT
wrongif.constraints.stack-v1conf 100% · 204ms · $0.000 · 49 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 14 words.
2. The first word must be "orbit" and the last word must be "prism".
3. Use the word "ember" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: orbiting an ancient ember, the machine's heart glows, embers to prism.
wrongif.format.acronym-v1conf 100% · 218ms · $0.000 · 14 tok
question
Take the second letter of each of these words, in order: drift, prism, nova, zephyr. 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: RIOM
wrongif.constraints.stack-v1conf 100% · 216ms · $0.000 · 68 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "ember" and the last word must be "comet".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember of the sea, a falcon's flight, swift and graceful, like a comet. another falcon soars, a majestic sight.
wrongif.format.acronym-v1conf 100% · 752ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: orbit, tundra, basalt, prism. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: OTRB
correctif.format.repeat-v1conf 100% · 207ms · $0.000 · 47 tok
question
Write the word "cedar" in lowercase form, repeated exactly 6 times, joined by the character "-" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cedar-cedar-cedar-cedar-cedar-cedar
wrongif.constraints.stack-v1conf 100% · 164ms · $0.000 · 55 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 16 words.
2. The first word must be "tundra" and the last word must be "orbit".
3. Use the word "cedar" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: tundra, a long journey, through cedar forests, to the great cedar sea, now in orbit.
wrongif.constraints.stack-v1conf 100% · 281ms · $0.000 · 71 tok
question
Write in English about a city at night, following ALL of these rules simultaneously:
1. Exactly 17 words.
2. The first word must be "zephyr" and the last word must be "tundra".
3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: a zephyr blows through the city, whispering secrets to the old cedar trees. a gentle breeze, like a cedar tundra's breath.
correctif.format.repeat-v1conf 100% · 203ms · $0.000 · 42 tok
question
Write the word "falcon" in uppercase form, repeated exactly 5 times, joined by the character "_" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FALCON_FALCON_FALCON_FALCON_FALCON
wrongif.format.acronym-v1conf 100% · 198ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: flint, drift, comet, zephyr, delta. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: FDCDZ
wrongif.constraints.stack-v1conf 100% · 199ms · $0.000 · 90 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 24 words.
2. The first word must be "echo" and the last word must be "cedar".
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: echo, the long road ahead, a flint to guide, another flint to light the way, and a final flint to warm the cold nights. a journey through forests of pine and cedar.
correctif.format.acronym-v1conf 100% · 163ms · $0.000 · 15 tok
question
Take the first letter of each of these words, in order: basalt, ember, quartz, 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: BEQO
correctif.format.repeat-v1conf 100% · 180ms · $0.000 · 54 tok
question
Write the word "comet" 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: COMET-COMET-COMET-COMET-COMET-COMET-COMET
wrongif.format.acronym-v1conf 100% · 261ms · $0.000 · 15 tok
question
Take the second letter of each of these words, in order: falcon, prism, delta, lumen, tundra, comet. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ALDTUC
wrongif.constraints.stack-v1conf 100% · 284ms · $0.000 · 44 tok
question
Write in English about winter mornings, following ALL of these rules simultaneously:
1. Exactly 23 words.
2. The first word must be "ember" and the last word must be "flint".
3. Use the word "lumen" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ember days, winter lumens, a lumen of frost, flint.
correctif.format.repeat-v1conf 100% · 226ms · $0.000 · 60 tok
question
Write the word "prism" 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: PRISM/PRISM/PRISM/PRISM/PRISM/PRISM/PRISM/PRISM
wrongif.constraints.stack-v1conf 100% · 239ms · $0.000 · 92 tok
question
Write in English about the sea, following ALL of these rules simultaneously:
1. Exactly 20 words.
2. The first word must be "zephyr" and the last word must be "flint".
3. Use the word "cedar" exactly 3 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: zephyr, a gentle breeze, caresses the cedar trees. the sea, a vast expanse, reflects the sky's hue. waves lap against cedar-built boats, a gentle flint.
wrongif.format.acronym-v1conf 100% · 222ms · $0.000 · 16 tok
question
Take the first letter of each of these words, in order: prism, quartz, ember, basalt, 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: PQEBORBIT
correctif.format.repeat-v1conf 100% · 293ms · $0.000 · 54 tok
question
Write the word "comet" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: COMET/COMET/COMET/COMET/COMET/COMET/COMET
wrongif.format.acronym-v1conf 100% · 184ms · $0.000 · 16 tok
question
Take the first letter of each of these words, in order: prism, delta, echo, tundra, nova, 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: PDEDNTB
correctif.format.repeat-v1conf 100% · 179ms · $0.000 · 54 tok
question
Write the word "nova" in uppercase form, repeated exactly 7 times, joined by the character "/" with no spaces. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NOVA/NOVA/NOVA/NOVA/NOVA/NOVA/NOVA
wrongif.constraints.stack-v1conf 100% · 194ms · $0.000 · 52 tok
question
Write in English about an old machine, following ALL of these rules simultaneously:
1. Exactly 18 words.
2. The first word must be "nova" and the last word must be "cedar".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova, the old falcon machine, a relic, once powerful, now rests under the cedar.
correctif.format.repeat-v1conf 100% · 247ms · $0.000 · 44 tok
question
Write the word "quartz" in uppercase 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: QUARTZ/QUARTZ/QUARTZ/QUARTZ
wrongif.format.acronym-v1conf 100% · 411ms · $0.000 · 14 tok
question
Take the third letter of each of these words, in order: tundra, comet, quartz, falcon. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NTE
wrongif.constraints.stack-v1conf 100% · 214ms · $0.000 · 64 tok
question
Write in English about a long journey, following ALL of these rules simultaneously:
1. Exactly 22 words.
2. The first word must be "nova" and the last word must be "ember".
3. Use the word "falcon" exactly 2 times (in addition to rules 2 if they differ).
4. The letter "q" must not appear anywhere.
5. Everything entirely in lowercase.

Give the text itself as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: nova, the falcon's journey, a long road, with many stops, a falcon's tale, an ember's glow.
wrongif.constraints.stack-v1anchorconf 100% · 201ms · $0.000 · 94 tok
model answer: drift through the city's night, a lumen-lit orbit. streets glow, neon signs bright, a dazzling lumen display. the city's heart beats, a lumen-filled rhythm.
wrongif.format.acronym-v1conf 100% · 199ms · $0.000 · 18 tok
question
Take the third letter of each of these words, in order: tundra, flint, falcon, echo. Concatenate them in uppercase into a single string with no separators. Output that string as your answer.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: NTA
correctif.format.repeat-v1anchorconf 100% · 185ms · $0.000 · 60 tok
model answer: ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO_ECHO
correctif.format.repeat-v1anchorconf 100% · 204ms · $0.000 · 61 tok
model answer: ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR/ZEPHYR
correctif.format.acronym-v1anchorconf 100% · 228ms · $0.000 · 14 tok
model answer: ZDFQ
knowledge 29/30 correct
correctknowledge.fr.factbank-v2conf 100% · 350ms · $0.000 · 23 tok
question
Identify the capital of Myanmar.

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: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 206ms · $0.000 · 16 tok
question
What is the capital of Turkey?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 205ms · $0.000 · 13 tok
question
Name the capital of Australia.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Canberra
correctknowledge.fr.factbank-v2conf 100% · 198ms · $0.000 · 13 tok
question
What is the element whose symbol is Pb?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Lead
correctknowledge.fr.factbank-v2conf 100% · 231ms · $0.000 · 18 tok
question
Name the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 262ms · $0.000 · 16 tok
question
What is the author of "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 200ms · $0.000 · 23 tok
question
Name the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 190ms · $0.000 · 17 tok
question
Name the author of "Snow Country".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Yasunari Kawabata
wrongknowledge.fr.factbank-v2conf 100% · 176ms · $0.000 · 15 tok
question
Identify the Kazakh 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: Nur-Sultan
correctknowledge.fr.factbank-v2conf 100% · 185ms · $0.000 · 18 tok
question
Identify the element whose symbol is K.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Potassium
correctknowledge.fr.factbank-v2conf 100% · 190ms · $0.000 · 18 tok
question
Name the chemical element with symbol W.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tungsten
correctknowledge.fr.factbank-v2conf 100% · 195ms · $0.000 · 16 tok
question
Name the author of "Things Fall Apart".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 200ms · $0.000 · 13 tok
question
Identify the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 279ms · $0.000 · 21 tok
question
Identify the author of "The Master and Margarita".

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mikhail Bulgakov
correctknowledge.fr.factbank-v2conf 100% · 693ms · $0.000 · 16 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: Ankara
correctknowledge.fr.factbank-v2conf 100% · 178ms · $0.000 · 13 tok
question
Identify the capital of Nigeria.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Abuja
correctknowledge.fr.factbank-v2conf 100% · 224ms · $0.000 · 18 tok
question
Identify the chemical element with symbol Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 231ms · $0.000 · 16 tok
question
What is the author of "Things Fall Apart"?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Chinua Achebe
correctknowledge.fr.factbank-v2conf 100% · 194ms · $0.000 · 13 tok
question
Name the chemical element with symbol Sn.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tin
correctknowledge.fr.factbank-v2conf 100% · 195ms · $0.000 · 23 tok
question
Identify the capital of Myanmar.

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: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 243ms · $0.000 · 18 tok
question
Name the element whose symbol is Sb.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Antimony
correctknowledge.fr.factbank-v2conf 100% · 192ms · $0.000 · 16 tok
question
What is the capital of Turkey?

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ankara
correctknowledge.fr.factbank-v2conf 100% · 166ms · $0.000 · 23 tok
question
Name the Burmese capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Naypyidaw
correctknowledge.fr.factbank-v2conf 100% · 325ms · $0.000 · 16 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: Ottawa
correctknowledge.fr.factbank-v2conf 100% · 185ms · $0.000 · 13 tok
question
Name the element whose symbol is Hg.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mercury
correctknowledge.fr.factbank-v2conf 100% · 186ms · $0.000 · 16 tok
question
Identify the Canadian capital city.

Answer with the name only — no explanation.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ottawa
correctknowledge.fr.factbank-v2anchorconf 100% · 184ms · $0.000 · 18 tok
model answer: Tungsten
correctknowledge.fr.factbank-v2anchorconf 100% · 220ms · $0.000 · 13 tok
model answer: Mercury
correctknowledge.fr.factbank-v2anchorconf 100% · 176ms · $0.000 · 16 tok
model answer: Lead
correctknowledge.fr.factbank-v2anchorconf 100% · 182ms · $0.000 · 18 tok
model answer: Antimony
math 8/30 correct
wrongmath.percent.chain-v2conf 100% · 278ms · $0.000 · 208 tok
question
An inventory starts at 77000 units. The warehouse was painted 126 years ago. In the first month the inventory grows by 14%. The company was founded 6 kilometers from the port. The next month it shrinks by 32%, and the month after it grows by 43%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 84,776.46
wrongmath.chained.pipeline-v1conf 100% · 217ms · $0.000 · 126 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 73 × 73.
Step 2: Q = P × 5 − 127.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 6629
wrongmath.counterfactual.base-v1conf 100% · 182ms · $0.000 · 183 tok
question
Work strictly in base 9. Multiply the base-9 numbers 30 and 81. 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: 636
correctmath.algebra.system-v2conf 100% · 202ms · $0.000 · 260 tok
question
Solve the system, then answer the derived question.

8x + 6y = -82
4x − 5y = 15

What is the value of 6x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -9
wrongmath.chained.pipeline-v1conf 100% · 279ms · $0.000 · 107 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 81 × 84.
Step 2: Q = P × 9 − 661.
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: 10206
correctmath.arith.chain-v2conf 100% · 200ms · $0.000 · 189 tok
question
Evaluate the expression below and give the result.

(((76 × 52 − 215) × 6 + 9502) − 60 × 58) × 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: 85332
wrongmath.counterfactual.base-v1conf 100% · 216ms · $0.000 · 185 tok
question
Work strictly in base 11. Multiply the base-11 numbers 17 and 52. Give the result IN BASE 11 (digits beyond 9 are A, B, C).

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: C3C25
wrongmath.percent.chain-v2conf 100% · 275ms · $0.000 · 152 tok
question
An inventory starts at 93000 units. The company was founded 31 kilometers from the port. In the first month the inventory grows by 31%. A rival firm shipped 114 unrelated parcels the same week. The next month it shrinks by 14%, and the month after it grows by 37%. 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: 142,605.1
correctmath.algebra.system-v2conf 100% · 223ms · $0.000 · 244 tok
question
Solve the system, then answer the derived question.

2x + 7y = 69
3x − 5y = 119

What is the value of 3x − 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: 120
correctmath.arith.chain-v2conf 100% · 211ms · $0.000 · 241 tok
question
Evaluate the expression below and give the result.

(((92 × 34 − 158) × 4 + 1617) − 68 × 74) × 4

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 33860
wrongmath.algebra.system-v2conf 100% · 352ms · $0.000 · 261 tok
question
Solve the system, then answer the derived question.

2x + 4y = 42
3x − 9y = 138

What is the value of 2x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -192.5
wrongmath.chained.pipeline-v1conf 100% · 205ms · $0.000 · 104 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 89 × 82.
Step 2: Q = P × 7 − 552.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 12773
wrongmath.counterfactual.base-v1conf 100% · 307ms · $0.000 · 72 tok
question
Work strictly in base 13. Add the base-13 numbers 8A0 and 602. 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: 14A2
wrongmath.percent.chain-v2conf 100% · 225ms · $0.000 · 270 tok
question
An inventory starts at 17000 units. A rival firm shipped 3 unrelated parcels the same week. In the first month the inventory grows by 6%. The warehouse was painted 172 years ago. The next month it shrinks by 22%, and the month after it grows by 43%. How many units remain (exact value, round to 2 decimals only if needed)?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 19927.68
wrongmath.arith.chain-v2conf 100% · 190ms · $0.000 · 247 tok
question
Compute the value of the following expression.

(((94 × 77 − 241) × 5 + 1648) − 83 × 36) × 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: 237867
wrongmath.counterfactual.base-v1conf 100% · 3.7s · $0.000 · 220 tok
question
Work strictly in base 7. Add the base-7 numbers 5504 and 4635. Give the result IN BASE 7.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 26116
wrongmath.chained.pipeline-v1conf 100% · 248ms · $0.000 · 114 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 49 × 54.
Step 2: Q = P × 6 − 145.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1767
wrongmath.percent.chain-v2conf 100% · 1.3s · $0.000 · 314 tok
question
An inventory starts at 59000 units. A rival firm shipped 180 unrelated parcels the same week. In the first month the inventory grows by 28%. Each pallet weighs about 167 grams more when wet. The next month it shrinks by 41%, and the month after it grows by 26%. 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: 56,022.96
correctmath.algebra.system-v2conf 100% · 202ms · $0.000 · 290 tok
question
Solve the system, then answer the derived question.

9x + 4y = -372
9x − 8y = -228

What is the value of 3x − 3y?

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -72
wrongmath.arith.chain-v2conf 100% · 574ms · $0.000 · 202 tok
question
Calculate the following. Show your reasoning, then answer.

(((57 × 36 − 736) × 4 + 2793) − 73 × 41) × 2

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 10088
wrongmath.algebra.system-v2conf 100% · 194ms · $0.000 · 568 tok
question
Solve the system, then answer the derived question.

5x + 4y = -111
6x − 3y = -24

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: \frac{474 + 12y}{9}
wrongmath.chained.pipeline-v1conf 100% · 198ms · $0.000 · 109 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 76 × 34.
Step 2: Q = P × 7 − 629.
Step 3: divide Q by 4: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 4359
correctmath.counterfactual.base-v1conf 100% · 179ms · $0.000 · 90 tok
question
Work strictly in base 8. Add the base-8 numbers 5323 and 4154. 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: 11477
wrongmath.percent.chain-v2conf 100% · 208ms · $0.000 · 227 tok
question
An inventory starts at 23000 units. The delivery van has a 166-liter fuel tank. In the first month the inventory grows by 12%. The delivery van has a 108-liter fuel tank. The next month it shrinks by 42%, and the month after it grows by 22%. 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: 18,225.82
correctmath.arith.chain-v2conf 100% · 186ms · $0.000 · 237 tok
question
Compute the value of the following expression.

(((79 × 96 − 223) × 8 + 6343) − 36 × 93) × 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: 185649
wrongmath.chained.pipeline-v1conf 100% · 210ms · $0.000 · 116 tok
question
Solve the following linked steps; each step uses the previous result.

Step 1: P = 22 × 73.
Step 2: Q = P × 6 − 526.
Step 3: divide Q by 9: let q be the integer quotient and r the remainder. The final answer is q + r.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1006
wrongmath.percent.chain-v2anchorconf 100% · 190ms · $0.000 · 242 tok
model answer: 61813.54
wrongmath.counterfactual.base-v1anchorconf 100% · 177ms · $0.000 · 69 tok
model answer: 12222
wrongmath.algebra.system-v2anchorconf 100% · 212ms · $0.000 · 235 tok
model answer: -678.45
correctmath.arith.chain-v2anchorconf 100% · 173ms · $0.000 · 191 tok
model answer: 108153
multilingual 11/30 correct
wrongmultilingual.wordnum-v1conf 100% · 452ms · $0.000 · 23 tok
question
A number is written in French: « quatre cent soixante-dix-sept ». Another is written in Spanish: « ochocientos veinte ». 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: 1287
wrongmultilingual.wordnum-v1conf 100% · 210ms · $0.000 · 21 tok
question
A number is written in French: « sept cent soixante-quatorze ». Another is written in Spanish: « ochocientos cuarenta 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: -114
correctmultilingual.numword-v2conf 100% · 212ms · $0.000 · 26 tok
question
Compute 469 + 298, 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: setecientos sesenta y siete
correctmultilingual.numword-v2conf 100% · 189ms · $0.000 · 25 tok
question
Compute 259 + 170, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cuatrocientos veintinueve
wrongmultilingual.wordnum-v1conf 100% · 172ms · $0.000 · 22 tok
question
A number is written in French: « sept cent seize ». Another is written in Spanish: « cuatrocientos sesenta y tres ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1353
wrongmultilingual.numword-v2conf 100% · 178ms · $0.000 · 26 tok
question
Compute 289 + 283, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ochocientos setenta y dos
wrongmultilingual.wordnum-v1conf 100% · 216ms · $0.000 · 20 tok
question
A number is written in French: « cinq cent quatorze ». Another is written in Spanish: « noventa y cuatro ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 918
correctmultilingual.numword-v2conf 100% · 274ms · $0.000 · 24 tok
question
Compute 261 + 125, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos ochenta y seis
wrongmultilingual.numword-v2conf 100% · 181ms · $0.000 · 20 tok
question
Compute 84 + 329, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent quatorze
correctmultilingual.numword-v2conf 100% · 261ms · $0.000 · 22 tok
question
Compute 114 + 425, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent trente neuf
wrongmultilingual.wordnum-v1conf 100% · 166ms · $0.000 · 15 tok
question
A number is written in French: « sept cent cinq ». Another is written in Spanish: « seiscientos treinta ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 74
wrongmultilingual.wordnum-v1conf 100% · 189ms · $0.000 · 20 tok
question
A number is written in French: « trois cent quatre-vingt-sept ». Another is written in Spanish: « trescientos cuarenta y cinco ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 142
wrongmultilingual.wordnum-v1conf 100% · 200ms · $0.000 · 18 tok
question
A number is written in French: « neuf cent soixante-seize ». Another is written in Spanish: « ochocientos diecisiete ». 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: 79
correctmultilingual.numword-v2conf 100% · 192ms · $0.000 · 24 tok
question
Compute 353 + 375, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: sept cent vingt-huit
wrongmultilingual.wordnum-v1conf 100% · 216ms · $0.000 · 21 tok
question
A number is written in French: « cent quarante ». Another is written in Spanish: « trescientos 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: 343
correctmultilingual.numword-v2conf 100% · 186ms · $0.000 · 23 tok
question
Compute 69 + 95, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ciento sesenta y cuatro
correctmultilingual.numword-v2conf 100% · 333ms · $0.000 · 22 tok
question
Compute 139 + 413, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent cinquante deux
wrongmultilingual.wordnum-v1conf 100% · 202ms · $0.000 · 20 tok
question
A number is written in French: « deux cent soixante-douze ». Another is written in Spanish: « seiscientos sesenta 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: 106
correctmultilingual.wordnum-v1conf 100% · 203ms · $0.000 · 64 tok
question
A number is written in French: « trois cent cinquante-six ». Another is written in Spanish: « cuatrocientos treinta ». Compute (French number) + (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 786
wrongmultilingual.wordnum-v1conf 100% · 207ms · $0.000 · 20 tok
question
A number is written in French: « soixante et un ». Another is written in Spanish: « doscientos cincuenta 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: 277
correctmultilingual.numword-v2conf 100% · 201ms · $0.000 · 24 tok
question
Compute 193 + 339, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: cinq cent trente-deux
wrongmultilingual.numword-v2conf 100% · 181ms · $0.000 · 24 tok
question
Compute 303 + 326, then write the result out in Spanish number words (lowercase). Answer with the Spanish words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: trescientos treinta y nueve
correctmultilingual.numword-v2conf 100% · 269ms · $0.000 · 22 tok
question
Compute 90 + 384, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: quatre cent soixante quatorze
wrongmultilingual.wordnum-v1conf 100% · 205ms · $0.000 · 20 tok
question
A number is written in French: « six cent quarante et un ». Another is written in Spanish: « quinientos 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: 213
wrongmultilingual.wordnum-v1conf 100% · 174ms · $0.000 · 16 tok
question
A number is written in French: « trois cent quatre-vingt-treize ». Another is written in Spanish: « novecientos noventa ». Compute (French number) − (Spanish number). Answer with digits only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: -607
wrongmultilingual.wordnum-v1anchorconf 100% · 244ms · $0.000 · 20 tok
model answer: 160
correctmultilingual.numword-v2conf 100% · 198ms · $0.000 · 22 tok
question
Compute 81 + 158, then write the result out in French number words (lowercase). Answer with the French words only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: deux cent trente neuf
wrongmultilingual.numword-v2anchorconf 100% · 196ms · $0.000 · 24 tok
model answer: huit cent dix-neuf
wrongmultilingual.numword-v2anchorconf 100% · 205ms · $0.000 · 21 tok
model answer: 608
wrongmultilingual.wordnum-v1anchorconf 100% · 203ms · $0.000 · 21 tok
model answer: 782
reasoning 8/30 correct
correctreasoning.deduction.position-v1conf 100% · 191ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Tessa is directly ahead of Goran. Alice is directly ahead of Tessa. Sami is directly ahead of Alice. Goran is number 4 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Tessa
wrongreasoning.deduction.order-v2conf 100% · 195ms · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Chen. Nadir is older than Chen. Farah is older than Hana. Nadir is older than Ola. Alice is older than Chen. Hana is older than Goran. Alice is older than Nadir. Ola is older than Goran. Ines is heavier than everyone here, but Ines is not being ranked. Hana is older than Alice. 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: Alice
correctreasoning.deduction.position-v1conf 100% · 191ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Priya is directly ahead of Mona. Tessa is directly ahead of Priya. Mona is number 3 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: Tessa
wrongreasoning.deduction.order-v2conf 100% · 198ms · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Alice is older than Rosa. Rosa is older than Goran. Quinn is older than Emil. Mona is older than Emil. Alice is older than Goran. Goran is older than Hana. Hana is older than Quinn. Kira is taller than everyone here, but Kira is not being ranked. Rosa is older than Hana. Quinn is older than Mona. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.position-v1conf 100% · 204ms · $0.000 · 13 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Priya. Hana is directly ahead of Mona. Priya is number 3 in the queue. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Mona
correctreasoning.deduction.order-v2conf 100% · 188ms · $0.000 · 17 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Quinn is heavier than Hana. Nadir is heavier than Bruno. Emil is heavier than Rosa. Hana is heavier than Emil. Rosa is heavier than Liam. Hana is heavier than Liam. Sami is older than everyone here, but Sami is not being ranked. Liam is heavier than Nadir. Rosa is heavier than Bruno. Liam is heavier than Bruno. Who is second (rank 2)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
wrongreasoning.deduction.position-v1conf 100% · 201ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Ines. Ines is directly ahead of Kira. Nadir is number 1 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
wrongreasoning.deduction.order-v2conf 100% · 208ms · $0.000 · 17 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Kira is taller than Emil. Emil is taller than Ines. Tessa is older than everyone here, but Tessa is not being ranked. Chen is taller than Ines. Jonas is taller than Kira. Ola is taller than Chen. Ola is taller than Emil. Chen is taller than Jonas. Hana is taller than Jonas. Chen is taller than Hana. Who is third (rank 3)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ines
correctreasoning.deduction.position-v1conf 100% · 199ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Nadir is number 2 in the queue. Sami is directly ahead of Nadir. Goran is directly ahead of Tessa. 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: Tessa
wrongreasoning.deduction.order-v2conf 100% · 207ms · $0.000 · 17 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Mona is taller than Hana. Liam is taller than Hana. Mona is taller than Hana. Tessa is faster than everyone here, but Tessa is not being ranked. Mona is taller than Liam. Sami is taller than Kira. Hana is taller than Sami. Mona is taller than Hana. Bruno is taller than Mona. Ines is taller than Bruno. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Kira
correctreasoning.deduction.position-v1conf 100% · 208ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Dara is directly ahead of Hana. Hana is directly ahead of Priya. Priya is number 4 in the queue. Tessa is directly ahead of Dara. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Hana
wrongreasoning.deduction.order-v2conf 100% · 214ms · $0.000 · 16 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Farah is faster than Jonas. Alice is faster than Chen. Jonas is faster than Chen. Ines is older than everyone here, but Ines is not being ranked. Tessa is faster than Nadir. Nadir is faster than Kira. Alice is faster than Farah. Kira is faster than Alice. Farah is faster than Chen. Alice is faster than Jonas. 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: Chen
wrongreasoning.deduction.position-v1conf 100% · 191ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Ola is directly ahead of Goran. Farah is number 2 in the queue. Bruno is directly ahead of Farah. Who is number 1?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Ola
wrongreasoning.deduction.order-v2conf 100% · 213ms · $0.000 · 16 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Priya is faster than Quinn. Ines is heavier than everyone here, but Ines is not being ranked. Sami is faster than Nadir. Dara is faster than Quinn. Priya is faster than Mona. Mona is faster than Dara. Chen is faster than Nadir. Sami is faster than Chen. Priya is faster than Dara. Nadir is faster than Priya. 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: Quinn
wrongreasoning.deduction.position-v1conf 100% · 181ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Ola. Ola is directly ahead of Farah. Farah is number 3 in the queue. Who is number 2?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Jonas
wrongreasoning.deduction.order-v2conf 100% · 227ms · $0.000 · 17 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Bruno is taller than Sami. Hana is taller than Rosa. Ines is faster than everyone here, but Ines is not being ranked. Hana is taller than Bruno. Rosa is taller than Alice. Priya is taller than Tessa. Rosa is taller than Priya. Alice is taller than Priya. Tessa is taller than Bruno. Tessa 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: Sami
correctreasoning.deduction.position-v1conf 100% · 206ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Jonas is directly ahead of Alice. Rosa is number 2 in the queue. Mona is directly ahead of Rosa. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
wrongreasoning.deduction.order-v2conf 100% · 200ms · $0.000 · 17 tok
question
Seven people are ranked by who is taller (rank 1 = tallest). Liam is taller than Kira. Bruno is taller than Kira. Dara is taller than Kira. Emil is taller than Mona. Bruno is taller than Ines. Mona is taller than Dara. Ines is taller than Liam. Emil is taller than Dara. Liam is taller than Emil. Alice is older than everyone here, but Alice is not being ranked. 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: Dara
correctreasoning.deduction.position-v1conf 100% · 195ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Emil is number 4 in the queue. Priya is directly ahead of Emil. Mona is directly ahead of Priya. Hana is directly ahead of Mona. Who is number 4?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Emil
wrongreasoning.deduction.position-v1conf 100% · 607ms · $0.000 · 17 tok
question
Four people stand in a queue (number 1 is the front). Jonas is number 2 in the queue. Goran is directly ahead of Mona. Priya is directly ahead of Jonas. 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: Mona
wrongreasoning.deduction.order-v2conf 100% · 148ms · $0.000 · 16 tok
question
Seven people are ranked by who is heavier (rank 1 = heaviest). Kira is heavier than Ola. Liam is heavier than Mona. Kira is heavier than Liam. Priya is heavier than Mona. Priya is heavier than Mona. Ola is heavier than Liam. Mona is heavier than Alice. Ines is heavier than Priya. Priya is heavier than Kira. Farah is older than everyone here, but Farah is not being ranked. 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: Alice
wrongreasoning.deduction.position-v1conf 100% · 337ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Mona is directly ahead of Alice. Liam is directly ahead of Jonas. Jonas is number 2 in the queue. Who is number 3?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Alice
wrongreasoning.deduction.order-v2conf 100% · 190ms · $0.000 · 16 tok
question
Seven people are ranked by who is older (rank 1 = oldest). Goran is older than Nadir. Dara is faster than everyone here, but Dara is not being ranked. Kira is older than Farah. Goran is older than Quinn. Sami is older than Quinn. Farah is older than Quinn. Rosa is older than Kira. Sami is older than Rosa. Farah is older than Goran. Nadir is older than Quinn. Who is sixth (rank 6)?

Answer with the name only.

End your reply with exactly two plain-text lines (no markdown, no extra text after them):
ANSWER: <your final answer only>
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: Quinn
wrongreasoning.deduction.order-v2conf 100% · 205ms · $0.000 · 17 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Chen is faster than Liam. Quinn is faster than Priya. Emil is faster than Chen. Kira is faster than Liam. Ola is faster than Liam. Emil is faster than Ola. Kira is faster than Ola. Sami is taller than everyone here, but Sami is not being ranked. Priya is faster than Emil. Chen is faster than Kira. 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: Liam
wrongreasoning.deduction.position-v1conf 100% · 141ms · $0.000 · 16 tok
question
Four people stand in a queue (number 1 is the front). Emil is directly ahead of Tessa. Mona is number 4 in the queue. Tessa is directly ahead of Priya. Priya is directly ahead of Mona. 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: Emil
wrongreasoning.deduction.order-v2conf 100% · 190ms · $0.000 · 16 tok
question
Seven people are ranked by who is faster (rank 1 = fastest). Bruno is faster than Ola. Kira is heavier than everyone here, but Kira is not being ranked. Ola is faster than Farah. Nadir is faster than Ola. Jonas is faster than Tessa. Tessa is faster than Mona. Bruno is faster than Nadir. Mona is faster than Bruno. Mona is faster than Farah. Jonas is faster than Mona. 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: Jonas
wrongreasoning.deduction.position-v1anchorconf 100% · 409ms · $0.000 · 17 tok
model answer: Goran
wrongreasoning.deduction.order-v2anchorconf 100% · 165ms · $0.000 · 17 tok
model answer: Kira
wrongreasoning.deduction.order-v2anchorconf 100% · 183ms · $0.000 · 16 tok
model answer: Alice
correctreasoning.deduction.position-v1anchorconf 100% · 151ms · $0.000 · 17 tok
model answer: Farah
terminal 9/30 correct
wrongterminal.fs.tree-v1conf 100% · 3.4s · $0.000 · 51 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/src`, `/proj/docs`, `/proj/assets`):

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

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

```sh
mv notes.cfg util-3.txt
touch docs/index-9.md
rm docs/draft.txt
mv assets/main.md assets/
mv docs/index-9.md docs/setup-3.txt
rm assets/main.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/report.md /proj/docs/setup-3.txt /proj/index.log /proj/proj/util-3.txt
wrongterminal.exit.chain-v1conf 100% · 194ms · $0.000 · 23 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 dune notes.txt && echo A || echo B
true && echo C || echo D
test -f data.txt && echo E || echo F
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 exit:0
correctterminal.pipeline.predict-v1conf 100% · 3.7s · $0.000 · 23 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,ops,101,47
kim,eng,96,29
gus,sales,73,81
ned,sales,93,25
pam,eng,106,91
hal,legal,120,35
oli,eng,88,49
ivy,eng,71,91
eli,ops,66,34
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' 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: cy,101 eli,66
wrongterminal.fs.tree-v1conf 100% · 197ms · $0.000 · 56 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/conf`, `/proj/src`, `/proj/logs`):

```
/proj/conf/index.md
/proj/logs/report.log
/proj/main.txt
/proj/src/todo.log
/proj/util.txt
```

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

```sh
touch logs/setup-4.log
rm conf/index.md
cp src/todo.log conf/
mkdir -p logs/src-3
rm logs/report.log
rm conf/todo.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.log /proj/logs/setup-4.log /proj/main.txt /proj/src/todo.log /proj/util.txt
wrongterminal.pipeline.predict-v1conf 100% · 194ms · $0.000 · 31 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
lou,sales,96,73
jon,eng,45,62
eli,eng,37,95
ned,legal,43,57
hal,hr,10,79
ivy,hr,112,34
dev,hr,33,36
bo,eng,92,50
max,hr,38,95
oli,sales,6,35
kim,sales,102,97
cy,eng,78,57
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: ned,legal,43,57 oli,sales,6,35
wrongterminal.exit.chain-v1conf 100% · 239ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
true && echo A || echo B
test -f tmp.txt && echo C || echo D
test -f tmp.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 D F G exit:0
wrongterminal.fs.tree-v1conf 100% · 198ms · $0.000 · 71 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/notes.log
/proj/assets/util.txt
/proj/conf/index.md
/proj/main.cfg
/proj/report.log
```

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

```sh
rm report.log
cp assets/notes.log docs/
mv assets/util.txt docs/
rm main.cfg
rm conf/index.md
touch draft-7.cfg
mkdir -p conf/conf-5
touch docs/main-7.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/notes.log /proj/assets/util.txt /proj/conf/conf-5/ /proj/conf/conf-5/ /proj/docs/main-7.md /proj/draft-7.cfg
wrongterminal.exit.chain-v1conf 100% · 220ms · $0.000 · 22 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
true && echo A || echo B
true && echo C || echo D
grep -q coral notes.txt && echo E || echo F
test -f ghost.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C E exit:0
wrongterminal.pipeline.predict-v1conf 100% · 200ms · $0.000 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ivy,ops,90,91
fay,legal,110,49
jon,eng,71,71
oli,eng,86,75
eli,sales,97,18
cy,legal,51,53
kim,hr,30,36
bo,sales,72,39
ned,ops,74,82
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 75 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
correctterminal.fs.tree-v1conf 100% · 197ms · $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/logs`, `/proj/docs`, `/proj/assets`):

```
/proj/assets/util.md
/proj/docs/main.cfg
/proj/logs/todo.cfg
/proj/notes.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
mv assets/util.md assets/main-5.txt
mkdir -p src-5
touch docs/notes-2.log
cp docs/main.cfg assets/
rm docs/main.cfg
cd src-5
touch todo-8.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/main-5.txt /proj/assets/main.cfg /proj/docs/notes-2.log /proj/logs/todo.cfg /proj/notes.cfg /proj/setup.txt /proj/src-5/todo-8.txt
correctterminal.exit.chain-v1conf 100% · 196ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
grep -q coral 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 app.txt && echo Z
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F Z exit:0
wrongterminal.fs.tree-v1conf 100% · 195ms · $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/logs`, `/proj/assets`, `/proj/build`):

```
/proj/assets/main.md
/proj/assets/notes.md
/proj/build/util.log
/proj/draft.md
/proj/index.md
```

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

```sh
mkdir -p conf-6
rm assets/notes.md
mv assets/main.md assets/main-4.md
mv assets/main-4.md assets/report-8.log
cd build
cp ../../proj/index.md ../../proj/assets/
cp ../../proj/draft.md ../../proj/logs/
cd ../../proj/logs
touch ../../proj/conf-6/setup-4.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/assets/main-4.md /proj/assets/report-8.log /proj/build/util.log /proj/conf-6/setup-4.log /proj/draft.md /proj/index.md /proj/logs/draft.md
correctterminal.pipeline.predict-v1conf 100% · 312ms · $0.000 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
gus,legal,116,16
jon,ops,77,52
oli,sales,45,99
fay,sales,100,38
cy,sales,14,47
eli,legal,109,10
dev,legal,27,34
ana,legal,22,82
lou,sales,48,62
kim,legal,41,36
ivy,eng,103,63
max,sales,17,49
pam,eng,78,90
bo,ops,52,87
```

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: 1
wrongterminal.exit.chain-v1conf 100% · 177ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D F G exit:0
correctterminal.pipeline.predict-v1conf 100% · 207ms · $0.000 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
kim,hr,3,74
oli,ops,33,57
cy,eng,118,42
gus,eng,70,21
eli,legal,52,67
max,hr,37,99
fay,ops,23,54
lou,ops,10,96
bo,eng,107,58
pam,hr,95,68
ivy,ops,73,56
```

What is the EXACT stdout of this command?

```sh
grep -F ',ops,' people.csv | awk -F, '$4 > 75 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
wrongterminal.exit.chain-v1conf 100% · 238ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

```sh
true && echo A || echo B
grep -q dune notes.txt && echo C || echo D
true && echo E || echo F
grep -q dune 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 G exit:0
wrongterminal.fs.tree-v1conf 100% · 210ms · $0.000 · 50 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/conf`, `/proj/assets`):

```
/proj/conf/index.txt
/proj/docs/main.md
/proj/docs/setup.log
/proj/draft.md
/proj/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
cp docs/main.md conf/
rm report.md
cd docs
touch ../../proj/main-3.cfg
cd .
cp ../../proj/draft.md ../../proj/assets/
rm ../../proj/main-3.cfg
mkdir -p ../../proj/conf/src-7
rm main.md
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/assets/draft.md /proj/conf/index.txt /proj/conf/src-7/ /proj/docs/setup.log
wrongterminal.fs.tree-v1conf 100% · 271ms · $0.000 · 94 tok
question
A POSIX shell session starts in `/proj`. The tree initially contains these FILES (directories exist as implied, plus empty dirs `/proj/docs`, `/proj/assets`, `/proj/logs`):

```
/proj/assets/index.txt
/proj/assets/main.log
/proj/docs/draft.log
/proj/report.txt
/proj/todo.log
```

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

```sh
cp todo.log docs/
cd logs
mkdir -p ../../proj/src-3
cd ../../proj/docs
touch ../../proj/assets/util-7.cfg
cp todo.log ../../proj/src-3/
touch ../../proj/assets/notes-6.log
cd ../../proj/assets
mkdir -p ../../proj/assets-7
rm ../../proj/todo.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/assets/index.txt /proj/assets/main.log /proj/assets/notes-6.log /proj/assets/util-7.cfg /proj/docs/draft.log /proj/docs/todo.log /proj/logs /proj/report.txt /proj/src-3/todo.log
wrongterminal.pipeline.predict-v1conf 100% · 197ms · $0.000 · 28 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
cy,sales,11,84
gus,legal,30,40
ana,legal,82,27
fay,eng,19,14
max,legal,3,40
oli,eng,38,43
ned,hr,76,32
ivy,hr,120,39
eli,ops,77,39
kim,eng,93,37
bo,sales,73,41
```

What is the EXACT stdout of this command?

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: eli,77 ivy,120 ned,76
correctterminal.exit.chain-v1conf 100% · 180ms · $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, amber (one per line). No other files exist.

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A D F H Z exit:0
wrongterminal.fs.tree-v1conf 100% · 204ms · $0.000 · 78 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/conf`):

```
/proj/conf/notes.md
/proj/logs/setup.txt
/proj/logs/util.txt
/proj/report.cfg
/proj/todo.cfg
```

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

```sh
cp logs/setup.txt ./
cd docs
mv ../../proj/setup.txt ../../proj/setup-6.log
rm ../../proj/conf/notes.md
touch ../../proj/conf/setup-7.log
cd ../../proj/conf
rm ../../proj/logs/util.txt
mv ../../proj/setup-6.log ../../proj/util-4.cfg
mkdir -p ../../proj/docs/logs-8
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/conf/setup-7.log /proj/docs/logs-8 /proj/logs/setup.txt /proj/proj/setup-6.log /proj/proj/util-4.cfg /proj/report.cfg /proj/todo.cfg
correctterminal.pipeline.predict-v1conf 100% · 210ms · $0.000 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,eng,97,61
eli,ops,47,72
fay,eng,86,52
hal,eng,38,70
gus,hr,89,51
lou,hr,72,71
cy,eng,102,38
bo,sales,99,54
max,hr,96,85
dev,hr,11,31
jon,eng,116,38
kim,eng,118,87
```

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: 99
correctterminal.exit.chain-v1conf 100% · 202ms · $0.000 · 27 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: B D E H Z exit:0
wrongterminal.fs.tree-v1conf 100% · 201ms · $0.000 · 77 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/report.txt
/proj/build/todo.log
/proj/index.md
/proj/src/main.log
/proj/util.txt
```

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

```sh
mv build/todo.log logs/
cd build
mkdir -p ../../proj/logs/docs-1
cd ../../proj/logs
cp ../../proj/build/report.txt docs-1/
touch notes-7.md
rm ../../proj/util.txt
cp notes-7.md docs-1/
cd ../../proj/src
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: /proj/build/report.txt /proj/index.md /proj/logs/docs-1/notes-7.md /proj/logs/docs-1/report.txt /proj/logs/notes-7.md /proj/src/main.log
correctterminal.pipeline.predict-v1conf 100% · 207ms · $0.000 · 15 tok
question
A POSIX shell session (LC_ALL=C). The file `people.csv` contains exactly these lines (columns: name,dept,units,score):

```
ned,eng,51,60
jon,legal,104,66
eli,eng,39,36
cy,ops,39,76
ivy,hr,44,16
oli,eng,65,15
ana,eng,49,28
kim,eng,56,93
pam,hr,50,50
```

What is the EXACT stdout of this command?

```sh
grep -F ',legal,' people.csv | awk -F, '$4 > 62 { n += 1 } END { print n }'
```

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: 1
wrongterminal.exit.chain-v1conf 100% · 201ms · $0.000 · 25 tok
question
A POSIX shell session in a directory containing ONLY these files:

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

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

These statements run in order:

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

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

Give your final answer inside ONE fenced code block (```), containing exactly the required content and nothing else. After the code block, add one plain-text line:
CONFIDENCE: <integer 0-100, how confident you are that your answer is correct>
model answer: A C F H exit:0
wrongterminal.fs.tree-v1anchorconf 100% · 227ms · $0.000 · 87 tok
model answer: /proj/build/setup-8.md /proj/build/todo-4.md /proj/build/logs-1 /proj/build/logs-8 /proj/docs/report-8.cfg /proj/main.log /proj/report.cfg /proj/src/index.cfg
wrongterminal.pipeline.predict-v1anchorconf 100% · 206ms · $0.000 · 42 tok
model answer: eli,eng,60,55 max,eng,43,64 oli,eng,40,31
wrongterminal.pipeline.predict-v1anchorconf 100% · 1.3s · $0.000 · 14 tok
model answer: 2
wrongterminal.exit.chain-v1anchorconf 100% · 203ms · $0.000 · 25 tok
model answer: B D E G exit:0

Run history

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